962 results on '"Campbell, Ian G."'
Search Results
2. Sleep restriction effects on sleep spindles in adolescents and relation of these effects to subsequent daytime sleepiness and cognition.
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Campbell, Ian G, Zhang, Zoey Y, and Grimm, Kevin J
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Behavioral and Social Science ,Sleep Research ,Clinical Research ,Humans ,Adolescent ,Child ,Sleep Deprivation ,Longitudinal Studies ,Polysomnography ,Sleep ,Cognition ,Disorders of Excessive Somnolence ,sleep loss ,electroencephalogram ,maturation ,adolescence ,sleep spindles ,sleepiness ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery ,Biological sciences ,Biomedical and clinical sciences ,Psychology - Abstract
Study objectivesLimiting spindle activity via sleep restriction could explain some of the negative cognitive effects of sleep loss in adolescents. The current study evaluates how sleep restriction affects sleep spindle number, incidence, amplitude, duration, and wave frequency and tests whether sleep restriction effects on spindles change across the years of adolescence. The study determines whether sleep restriction effects on daytime sleepiness, vigilance, and cognition are related to changes in sleep spindles.MethodsIn each year of this 3-year longitudinal study, 77 participants, ranging in age from 10 to 16 years, each completed three different time in bed (TIB) schedules: 7, 8.5, or 10 hours in bed for 4 consecutive nights. A computer algorithm detected and analyzed sleep spindles in night four central and frontal electroencephalogram. Objective and self-reported daytime sleepiness and cognition were evaluated on the day following the 4th night.ResultsFor 7 versus 10 hours TIB average all-night frontal and central spindle counts were reduced by 35% and 32%, respectively. Reducing TIB also significantly decreased spindle incidence in the first 5 hours of non-rapid eye movement sleep, produced small but significant reductions in spindle amplitude, and had little to no effect on spindle duration and spindle wave frequency. Sleep restriction effects did not change with age. The reductions in spindle count and incidence were related to daytime sleepiness on the following day but were not related to working memory.ConclusionsThe sleep loss effects on daytime functioning in adolescents are partially mediated by reduced sleep spindles impacting daytime sleepiness.
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- 2023
3. Sleep restriction and age effects on waking alpha EEG activity in adolescents
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Campbell, Ian G, Kim, Elizabeth I, Darchia, Nato, and Feinberg, Irwin
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Allied Health and Rehabilitation Science ,Health Sciences ,Clinical Research ,Sleep Research ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,adolescence ,alpha ,development ,sleep loss ,Allied health and rehabilitation science - Abstract
Study objectivesTo understand how sleep need changes across adolescence our laboratory is carrying out a longitudinal dose-response study on the effects of sleep duration on daytime sleepiness and performance. This report focuses on the relation of the waking alpha (8-12 Hz) electroencephalogram (EEG) to prior sleep duration, whether this relation changes with age, and whether decreased waking alpha power is related to changes in daytime sleepiness, vigilance, and executive functioning.MethodsStudy participants (n = 77) entered the study at ages ranging from 9.86 to 13.98 years and were studied annually for 3 years. Each year participants completed each of three time in bed (TIB) conditions (7, 8.5, or 10 h) for four consecutive nights. Waking EEG was recorded on the day following the fourth night.ResultsTIB restriction and resultant sleep loss were associated with reduced alpha power with the effect being stronger for the eyes closed condition. TIB restriction altered the power spectrum within the alpha range by increasing the frequency of maximum alpha power. Alpha power decreased with age, but the effect of TIB restriction did not decrease with age. Reduced alpha power was associated with small but significant increases in subjective and objective sleepiness but was not associated with changes in vigilance or executive functioning.ConclusionsWe interpret the alpha depression following sleep loss as incomplete sleep dependent recuperation that contributes to daytime sleepiness. The absence of a decrease in TIB effects with age indicates that this sleep need measure does not decrease over early to mid-adolescence.
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- 2022
4. Longitudinal analysis of sleep spindle maturation from childhood through late adolescence
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Zhang, Zoey Y, Campbell, Ian G, Dhayagude, Pari, Espino, Harrison C, and Feinberg, Irwin
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Medical Physiology ,Biomedical and Clinical Sciences ,Basic Behavioral and Social Science ,Clinical Research ,Neurosciences ,Pediatric ,Behavioral and Social Science ,Sleep Research ,2.1 Biological and endogenous factors ,Aetiology ,Adolescent ,Aging ,Child ,Child ,Preschool ,Cross-Sectional Studies ,Electroencephalography ,Female ,Humans ,Linear Models ,Longitudinal Studies ,Male ,Memory Consolidation ,Polysomnography ,Sex Characteristics ,Sleep Stages ,adolescence ,EEG ,longitudinal ,maturation ,sleep spindle ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery - Abstract
Sleep spindles are intermittent bursts of 11-15 Hz EEG waves that occur during non-rapid eye movement sleep. Spindles are believed to help maintain sleep and to play a role in sleep-dependent memory consolidation. Here we applied an automated sleep spindle detection program to our large longitudinal sleep EEG dataset (98 human subjects, 6-18 years old, >2000 uninterrupted nights) to evaluate maturational trends in spindle wave frequency, density, amplitude, and duration. This large dataset enabled us to apply nonlinear as well as linear age models, thereby extending the findings of prior cross-sectional studies that used linear models. We found that spindle wave frequency increased with remarkable linearity across the age range. Central spindle density increased nonlinearly to a peak at age 15.1 years. Central spindle wave amplitude declined in a sigmoidal pattern with the age of fastest decline at 13.5 years. Spindle duration decreased linearly with age. Of the four measures, only spindle amplitude showed a sex difference in dynamics such that the age of most rapid decline in females preceded that in males by 1.4 years. This amplitude pattern, including the sex difference in timing, paralleled the maturational pattern for δ (1-4 Hz) wave power. We interpret these age-related changes in spindle characteristics as indicators of maturation of thalamocortical circuits and changes in sleep depth. These robust age-effects could facilitate the search for cognitive-behavioral correlates of spindle waveforms and might also help guide basic research on EEG mechanisms and postnatal brain maturation.SIGNIFICANCE STATEMENT The brain reorganization of adolescence produces massive changes in sleep EEG. These changes include the morphology and abundance of sleep spindles, an EEG marker of non-rapid eye movement sleep believed to reflect offline memory processes and/or protection of the sleep state. We analyzed >2000 nights of longitudinal sleep EEG from 98 subjects (age 6-18 years old) to investigate maturational changes in spindle amplitude, frequency, density, and duration. The large dataset enabled us to detect nonlinear as well as linear age changes. All measures showed robust age effects that we hypothesize reflect the maturation of thalamocortical circuits and decreasing sleep depth. These findings could guide further research into the cognitive-behavioral correlates of sleep spindles and their underlying brain mechanisms.
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- 2021
5. Population-based targeted sequencing of 54 candidate genes identifies PALB2 as a susceptibility gene for high-grade serous ovarian cancer
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Song, Honglin, Dicks, Ed M, Tyrer, Jonathan, Intermaggio, Maria, Chenevix-Trench, Georgia, Bowtell, David D, Traficante, Nadia, Group, AOCS, Brenton, James, Goranova, Teodora, Hosking, Karen, Piskorz, Anna, van Oudenhove, Elke, Doherty, Jen, Harris, Holly R, Rossing, Mary Anne, Duerst, Matthias, Dork, Thilo, Bogdanova, Natalia V, Modugno, Francesmary, Moysich, Kirsten, Odunsi, Kunle, Ness, Roberta, Karlan, Beth Y, Lester, Jenny, Jensen, Allan, Kjaer, Susanne Krüger, Høgdall, Estrid, Campbell, Ian G, Lázaro, Conxi, Pujara, Miguel Angel, Cunningham, Julie, Vierkant, Robert, Winham, Stacey J, Hildebrandt, Michelle, Huff, Chad, Li, Donghui, Wu, Xifeng, Yu, Yao, Permuth, Jennifer B, Levine, Douglas A, Schildkraut, Joellen M, Riggan, Marjorie J, Berchuck, Andrew, Webb, Penelope M, Group, OPAL Study, Cybulski, Cezary, Gronwald, Jacek, Jakubowska, Anna, Lubinski, Jan, Alsop, Jennifer, Harrington, Patricia, Chan, Isaac, Menon, Usha, Pearce, Celeste L, Wu, Anna H, de Fazio, Anna, Kennedy, Catherine J, Goode, Ellen, Ramus, Susan, Gayther, Simon, and Pharoah, Paul
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Oncology and Carcinogenesis ,Orphan Drug ,Ovarian Cancer ,Prevention ,Clinical Research ,Rare Diseases ,Cancer ,2.1 Biological and endogenous factors ,Aetiology ,Case-Control Studies ,Fanconi Anemia Complementation Group N Protein ,Female ,Genetic Predisposition to Disease ,Genetic Variation ,Humans ,Ovarian Neoplasms ,Risk Assessment ,cancer ,endocrine ,genetic epidemiology ,cancer: endocrine ,Medical and Health Sciences ,Genetics & Heredity ,Clinical sciences - Abstract
PurposeThe known epithelial ovarian cancer (EOC) susceptibility genes account for less than 50% of the heritable risk of ovarian cancer suggesting that other susceptibility genes exist. The aim of this study was to evaluate the contribution to ovarian cancer susceptibility of rare deleterious germline variants in a set of candidate genes.MethodsWe sequenced the coding region of 54 candidate genes in 6385 invasive EOC cases and 6115 controls of broad European ancestry. Genes with an increased frequency of putative deleterious variants in cases versus controls were further examined in an independent set of 14 135 EOC cases and 28 655 controls from the Ovarian Cancer Association Consortium and the UK Biobank. For each gene, we estimated the EOC risks and evaluated associations between germline variant status and clinical characteristics.ResultsThe ORs associated for high-grade serous ovarian cancer were 3.01 for PALB2 (95% CI 1.59 to 5.68; p=0.00068), 1.99 for POLK (95% CI 1.15 to 3.43; p=0.014) and 4.07 for SLX4 (95% CI 1.34 to 12.4; p=0.013). Deleterious mutations in FBXO10 were associated with a reduced risk of disease (OR 0.27, 95% CI 0.07 to 1.00, p=0.049). However, based on the Bayes false discovery probability, only the association for PALB2 in high-grade serous ovarian cancer is likely to represent a true positive.ConclusionsWe have found strong evidence that carriers of PALB2 deleterious mutations are at increased risk of high-grade serous ovarian cancer. Whether the magnitude of risk is sufficiently high to warrant the inclusion of PALB2 in cancer gene panels for ovarian cancer risk testing is unclear; much larger sample sizes will be needed to provide sufficiently precise estimates for clinical counselling.
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- 2021
6. Predictive biomarkers of breast ductal carcinoma in situ may underestimate the risk of recurrence due to de novo ipsilateral breast carcinoma development
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Kader, Tanjina, primary, Zethoven, Maia, additional, Mahale, Sakshi, additional, Saunders, Hugo, additional, Tjoeka, Lauren, additional, Lehmann, Rebecca, additional, Jayawardane, Madawa, additional, Pang, Jia-Min, additional, Lesche, Dorothea, additional, Rajan, Neeha, additional, Semple, Timothy, additional, Lee, Jue Er Amanda, additional, Lupat, Richard, additional, Byrne, David J, additional, Hughes, Siobhan, additional, Nguyen, Hoa, additional, Lai, Siqi, additional, Pechlivanis, Maree, additional, Craig, Olivia, additional, Devereux, Lisa, additional, House, Eloise, additional, Jayasinghe, Sureshni I, additional, Kaufmann, Tom L, additional, Schwarz, Roland F, additional, Green, Andrew R, additional, Miligy, Islam, additional, Cummings, Margaret, additional, Lakhani, Sunil, additional, Campbell, Ian G, additional, Rakha, Emad, additional, Fox, Stephen B, additional, Mann, G Bruce, additional, and Gorringe, Kylie L, additional
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- 2024
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7. Genetic data from nearly 63,000 women of European descent predicts DNA methylation biomarkers and epithelial ovarian cancer risk
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Yang, Yaohua, Wu, Lang, Shu, Xiang, Lu, Yingchang, Shu, Xiao-Ou, Cai, Qiuyin, Beeghly-Fadiel, Alicia, Li, Bingshan, Ye, Fei, Berchuck, Andrew, Anton-Culver, Hoda, Banerjee, Susana, Benitez, Javier, Bjørge, Line, Brenton, James D, Butzow, Ralf, Campbell, Ian G, Chang-Claude, Jenny, Chen, Kexin, Cook, Linda S, Cramer, Daniel W, deFazio, Anna, Dennis, Joe, Doherty, Jennifer A, Dörk, Thilo, Eccles, Diana M, Edwards, Digna Velez, Fasching, Peter A, Fortner, Renée T, Gayther, Simon A, Giles, Graham G, Glasspool, Rosalind M, Goode, Ellen L, Goodman, Marc T, Gronwald, Jacek, Harris, Holly R, Heitz, Florian, Hildebrandt, Michelle A, Høgdall, Estrid, Høgdall, Claus K, Huntsman, David G, Kar, Siddhartha P, Karlan, Beth Y, Kelemen, Linda E, Kiemeney, Lambertus A, Kjaer, Susanne K, Koushik, Anita, Lambrechts, Diether, Le, Nhu D, Levine, Douglas A, Massuger, Leon F, Matsuo, Keitaro, May, Taymaa, McNeish, Iain A, Menon, Usha, Modugno, Francesmary, Monteiro, Alvaro N, Moorman, Patricia G, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Olsson, Håkan, Onland-Moret, N Charlotte, Park, Sue K, Paul, James, Pearce, Celeste L, Pejovic, Tanja, Phelan, Catherine M, Pike, Malcolm C, Ramus, Susan J, Riboli, Elio, Rodriguez-Antona, Cristina, Romieu, Isabelle, Sandler, Dale P, Schildkraut, Joellen M, Setiawan, Veronica W, Shan, Kang, Siddiqui, Nadeem, Sieh, Weiva, Stampfer, Meir J, Sutphen, Rebecca, Swerdlow, Anthony J, Szafron, Lukasz M, Teo, Soo Hwang, Tworoger, Shelley S, Tyrer, Jonathan P, Webb, Penelope M, Wentzensen, Nicolas, White, Emily, Willett, Walter C, Wolk, Alicja, Woo, Yin Ling, Wu, Anna H, Yan, Li, Yannoukakos, Drakoulis, Chenevix-Trench, Georgia, Sellers, Thomas A, Pharoah, Paul DP, Zheng, Wei, and Long, Jirong
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Biological Sciences ,Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Genetics ,Human Genome ,Ovarian Cancer ,Prevention ,Clinical Research ,Rare Diseases ,Cancer ,Aetiology ,2.1 Biological and endogenous factors ,Biomarkers ,Tumor ,Carcinoma ,Ovarian Epithelial ,Cohort Studies ,DNA Methylation ,Female ,Genetic Predisposition to Disease ,Humans ,Models ,Genetic ,Ovarian Neoplasms ,Predictive Value of Tests ,Risk ,White People ,Women's Health ,Oncology & Carcinogenesis ,Biochemistry and cell biology ,Oncology and carcinogenesis - Abstract
DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high-density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N = 1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P < 7.94 × 10-7. Of them, 87 were located at GWAS-identified EOC susceptibility regions and two resided in a genomic region not previously reported to be associated with EOC risk. Integrative analyses of genetic, methylation, and gene expression data identified consistent directions of associations across 12 CpG, five genes, and EOC risk, suggesting that methylation at these 12 CpG may influence EOC risk by regulating expression of these five genes, namely MAPT, HOXB3, ABHD8, ARHGAP27, and SKAP1. We identified novel DNA methylation markers associated with EOC risk and propose that methylation at multiple CpG may affect EOC risk via regulation of gene expression. SIGNIFICANCE: Identification of novel DNA methylation markers associated with EOC risk suggests that methylation at multiple CpG may affect EOC risk through regulation of gene expression.
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- 2019
8. Shorter sleep durations in adolescents reduce power density in a wide range of waking electroencephalogram frequencies.
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Feinberg, Irwin and Campbell, Ian G
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Brain ,Humans ,Electroencephalography ,Longitudinal Studies ,Wakefulness ,Sleep ,Sleep Stages ,Sleep ,REM ,Adolescent ,Child ,Female ,Male ,REM ,General Science & Technology - Abstract
Despite sleep's recognized biological importance, it has been remarkably difficult to demonstrate changes in brain physiology with reduced sleep durations. In a study of adolescents, we varied sleep durations by restricting time in bed for four nights of either 10, 8.5 or 7 h. Shorter sleep durations significantly decreased waking electroencephalogram (EEG) power in a wide range of frequencies with both eyes closed and eyes open in central and occipital leads. These findings suggest new research directions and raise the possibility that waking EEG power density could provide a non-invasive test for biologically sufficient sleep.
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- 2019
9. The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer
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Figlioli, Gisella, Bogliolo, Massimo, Catucci, Irene, Caleca, Laura, Lasheras, Sandra Viz, Pujol, Roser, Kiiski, Johanna I, Muranen, Taru A, Barnes, Daniel R, Dennis, Joe, Michailidou, Kyriaki, Bolla, Manjeet K, Leslie, Goska, Aalfs, Cora M, Adank, Muriel A, Adlard, Julian, Agata, Simona, Cadoo, Karen, Agnarsson, Bjarni A, Ahearn, Thomas, Aittomäki, Kristiina, Ambrosone, Christine B, Andrews, Lesley, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Arun, Banu K, Asseryanis, Ella, Auber, Bernd, Auvinen, Päivi, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Barrowdale, Daniel, Barwell, Julian, Beane Freeman, Laura E, Beauparlant, Charles Joly, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Berger, Raanan, Bermisheva, Marina, Blanco, Amie M, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Anders, Bojesen, Stig E, Bonanni, Bernardo, Borg, Ake, Brady, Angela F, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Caldés, Trinidad, Caliebe, Almuth, Caligo, Maria A, Campa, Daniele, Campbell, Ian G, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Claes, Kathleen BM, Clarke, Christine L, Collavoli, Anita, Conner, Thomas A, Cox, David G, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Dite, Gillian S, Ditsch, Nina, Domchek, Susan M, Dorfling, Cecilia M, dos-Santos-Silva, Isabel, Durda, Katarzyna, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Foulkes, William D, Friebel, Tara M, Friedman, Eitan, Gabrielson, Marike, Gaddam, Pragna, and Gago-Dominguez, Manuela
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Health Services and Systems ,Biomedical and Clinical Sciences ,Health Sciences ,Oncology and Carcinogenesis ,Clinical Research ,Genetics ,Breast Cancer ,Cancer ,Genetic Testing ,2.1 Biological and endogenous factors ,Aetiology ,ABCTB Investigators ,GEMO Study Collaborators ,KConFab ,Cancer genetics ,Clinical sciences ,Oncology and carcinogenesis ,Epidemiology - Abstract
Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes BRCA1, BRCA2, PALB2, ATM, and CHEK2 are associated with breast cancer risk. FANCM, which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM:p.Arg658*, p.Gln1701*, and p.Arg1931* for association with breast cancer risk in 67,112 cases, 53,766 controls, and 26,662 carriers of pathogenic variants of BRCA1 or BRCA2. These three variants were also studied functionally by measuring survival and chromosome fragility in FANCM -/- patient-derived immortalized fibroblasts treated with diepoxybutane or olaparib. We observed that FANCM:p.Arg658* was associated with increased risk of ER-negative disease and TNBC (OR = 2.44, P = 0.034 and OR = 3.79; P = 0.009, respectively). In a country-restricted analysis, we confirmed the associations detected for FANCM:p.Arg658* and found that also FANCM:p.Arg1931* was associated with ER-negative breast cancer risk (OR = 1.96; P = 0.006). The functional results indicated that all three variants were deleterious affecting cell survival and chromosome stability with FANCM:p.Arg658* causing more severe phenotypes. In conclusion, we confirmed that the two rare FANCM deleterious variants p.Arg658* and p.Arg1931* are risk factors for ER-negative and TNBC subtypes. Overall our data suggest that the effect of truncating variants on breast cancer risk may depend on their position in the gene. Cell sensitivity to olaparib exposure, identifies a possible therapeutic option to treat FANCM-associated tumors.
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- 2019
10. Differential and interacting effects of age and sleep restriction on daytime sleepiness and vigilance in adolescence: a longitudinal study.
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Campbell, Ian G, Van Dongen, Hans PA, Gainer, Marcus, Karmouta, Emmad, and Feinberg, Irwin
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Humans ,Sleep Deprivation ,Electroencephalography ,Polysomnography ,Longitudinal Studies ,Psychomotor Performance ,Arousal ,Wakefulness ,Age Factors ,Adolescent ,Child ,Female ,Male ,Brain Waves ,Sleep Latency ,Sleepiness ,sleep restriction ,MSLT ,PVT ,brain maturation ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery - Abstract
Study objectivesThere is contradictory evidence on whether sleep need decreases across adolescence. We investigated this question longitudinally with a dose-response design to test the effects of varied sleep durations on daytime sleepiness and on vigilance and to test whether these relations change with age across early and mid-adolescence.MethodsData from 76 participants who completed at least 2 years of the 3-year study are included in this report. Annually, participants ranging in age from 9.8 to 16.2 years completed three different time in bed (TIB) schedules each consisting of four consecutive nights of 7, 8.5, or 10 hours. Daytime sleepiness (multiple sleep latency test [MSLT]) and vigilance (psychomotor vigilance test [PVT]) were measured on the day following the fourth night of each TIB schedule.ResultsElectroencephalogram (EEG)-measured sleep durations changed linearly with TIB. MSLT-measured daytime sleepiness decreased with longer TIB and increased with age. The TIB and age effects interacted such that the TIB effect decreased with age. PVT performance improved with longer TIB and improved with age, but the benefit that increased TIB conferred on PVT performance did not change with age.ConclusionsThese results seem paradoxical because daytime sleepiness increased but vigilance improved with age. The significant age effect on the relation between TIB and sleepiness compared to the lack of an age effect on the relation between TIB and vigilance performance suggests different rates of maturation in underlying brain systems. We interpret these findings in relation to our model of adolescent brain development driven by synaptic elimination.
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- 2018
11. Molecular characterization of low-grade serous ovarian carcinoma identifies genomic aberrations according to hormone receptor expression
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Cheasley, Dane, Fernandez, Marta Llaurado, Köbel, Martin, Kim, Hannah, Dawson, Amy, Hoenisch, Joshua, Bittner, Madison, Chiu, Derek S., Talhouk, Aline, Gilks, C. Blake, Jayawardana, Madawa W., Pishas, Kathleen I., Mes-Masson, Anne-Marie, Provencher, Diane, Nigam, Abhimanyu, Hacker, Neville F., Gorringe, Kylie L., Campbell, Ian G., and Carey, Mark S.
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- 2022
- Full Text
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12. Integration of tumour sequencing and case–control data to assess pathogenicity of RAD51C missense variants in familial breast cancer
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Lim, Belle W. X., Li, Na, Rowley, Simone M., Thompson, Ella R., McInerny, Simone, Zethoven, Magnus, Scott, Rodney J., Devereux, Lisa, Sloan, Erica K., James, Paul A., and Campbell, Ian G.
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- 2022
- Full Text
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13. MyD88 and TLR4 Expression in Epithelial Ovarian Cancer.
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Block, Matthew S, Vierkant, Robert A, Rambau, Peter F, Winham, Stacey J, Wagner, Philipp, Traficante, Nadia, Tołoczko, Aleksandra, Tiezzi, Daniel G, Taran, Florin Andrei, Sinn, Peter, Sieh, Weiva, Sharma, Raghwa, Rothstein, Joseph H, Ramón Y Cajal, Teresa, Paz-Ares, Luis, Oszurek, Oleg, Orsulic, Sandra, Ness, Roberta B, Nelson, Gregg, Modugno, Francesmary, Menkiszak, Janusz, McGuire, Valerie, McCauley, Bryan M, Mack, Marie, Lubiński, Jan, Longacre, Teri A, Li, Zheng, Lester, Jenny, Kennedy, Catherine J, Kalli, Kimberly R, Jung, Audrey Y, Johnatty, Sharon E, Jimenez-Linan, Mercedes, Jensen, Allan, Intermaggio, Maria P, Hung, Jillian, Herpel, Esther, Hernandez, Brenda Y, Hartkopf, Andreas D, Harnett, Paul R, Ghatage, Prafull, García-Bueno, José M, Gao, Bo, Fereday, Sian, Eilber, Ursula, Edwards, Robert P, de Sousa, Christiani B, de Andrade, Jurandyr M, Chudecka-Głaz, Anita, Chenevix-Trench, Georgia, Cazorla, Alicia, Brucker, Sara Y, Australian Ovarian Cancer Study Group, Alsop, Jennifer, Whittemore, Alice S, Steed, Helen, Staebler, Annette, Moysich, Kirsten B, Menon, Usha, Koziak, Jennifer M, Kommoss, Stefan, Kjaer, Susanne K, Kelemen, Linda E, Karlan, Beth Y, Huntsman, David G, Høgdall, Estrid, Gronwald, Jacek, Goodman, Marc T, Gilks, Blake, García, María José, Fasching, Peter A, de Fazio, Anna, Deen, Suha, Chang-Claude, Jenny, Candido Dos Reis, Francisco J, Campbell, Ian G, Brenton, James D, Bowtell, David D, Benítez, Javier, Pharoah, Paul DP, Köbel, Martin, Ramus, Susan J, and Goode, Ellen L
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Australian Ovarian Cancer Study Group ,Humans ,Ovarian Neoplasms ,Tissue Array Analysis ,Immunohistochemistry ,Survival Analysis ,Adult ,Aged ,Middle Aged ,Female ,Toll-Like Receptor 4 ,Myeloid Differentiation Factor 88 ,Biomarkers ,Tumor ,Carcinoma ,Ovarian Epithelial ,Biomarkers ,Tumor ,Carcinoma ,Ovarian Epithelial ,Medical and Health Sciences - Abstract
ObjectiveTo evaluate myeloid differentiation primary response gene 88 (MyD88) and Toll-like receptor 4 (TLR4) expression in relation to clinical features of epithelial ovarian cancer, histologic subtypes, and overall survival.Patients and methodsWe conducted centralized immunohistochemical staining, semi-quantitative scoring, and survival analysis in 5263 patients participating in the Ovarian Tumor Tissue Analysis consortium. Patients were diagnosed between January 1, 1978, and December 31, 2014, including 2865 high-grade serous ovarian carcinomas (HGSOCs), with more than 12,000 person-years of follow-up time. Tissue microarrays were stained for MyD88 and TLR4, and staining intensity was classified using a 2-tiered system for each marker (weak vs strong).ResultsExpression of MyD88 and TLR4 was similar in all histotypes except clear cell ovarian cancer, which showed reduced expression compared with other histotypes (P
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- 2018
14. Variants in genes encoding small GTPases and association with epithelial ovarian cancer susceptibility
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Earp, Madalene, Tyrer, Jonathan P, Winham, Stacey J, Lin, Hui-Yi, Chornokur, Ganna, Dennis, Joe, Aben, Katja KH, Anton‐Culver, Hoda, Antonenkova, Natalia, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Bunker, Clareann H, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Despierre, Evelyn, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Easton, Douglas F, Eccles, Diana M, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Claus K, Høgdall, Estrid, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Jung, Audrey Y, Karlan, Beth Y, Kellar, Melissa, Kiemeney, Lambertus A, Lim, Boon Kiong, Kjaer, Susanne K, Krakstad, Camilla, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lele, Shashi, Lester, Jenny, Levine, Douglas A, Li, Zheng, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Iain, Menon, Usha, Milne, Roger L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Odunsi, Kunle, Olson, Sara H, Orlow, Irene, Orsulic, Sandra, Paul, James, Pejovic, Tanja, Pelttari, Liisa M, Permuth, Jenny B, Pike, Malcolm C, Poole, Elizabeth M, Rosen, Barry, Rossing, Mary Anne, Rothstein, Joseph H, and Runnebaum, Ingo B
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Biochemistry and Cell Biology ,Biomedical and Clinical Sciences ,Biological Sciences ,Genetics ,Oncology and Carcinogenesis ,Biotechnology ,Ovarian Cancer ,Cancer ,Human Genome ,Rare Diseases ,2.1 Biological and endogenous factors ,Aetiology ,A Kinase Anchor Proteins ,Carcinoma ,Ovarian Epithelial ,Female ,Genetic Association Studies ,Genetic Predisposition to Disease ,Genotype ,Humans ,Monomeric GTP-Binding Proteins ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Rho Guanine Nucleotide Exchange Factors ,Risk Factors ,General Science & Technology - Abstract
Epithelial ovarian cancer (EOC) is the fifth leading cause of cancer mortality in American women. Normal ovarian physiology is intricately connected to small GTP binding proteins of the Ras superfamily (Ras, Rho, Rab, Arf, and Ran) which govern processes such as signal transduction, cell proliferation, cell motility, and vesicle transport. We hypothesized that common germline variation in genes encoding small GTPases is associated with EOC risk. We investigated 322 variants in 88 small GTPase genes in germline DNA of 18,736 EOC patients and 26,138 controls of European ancestry using a custom genotype array and logistic regression fitting log-additive models. Functional annotation was used to identify biofeatures and expression quantitative trait loci that intersect with risk variants. One variant, ARHGEF10L (Rho guanine nucleotide exchange factor 10 like) rs2256787, was associated with increased endometrioid EOC risk (OR = 1.33, p = 4.46 x 10-6). Other variants of interest included another in ARHGEF10L, rs10788679, which was associated with invasive serous EOC risk (OR = 1.07, p = 0.00026) and two variants in AKAP6 (A-kinase anchoring protein 6) which were associated with risk of invasive EOC (rs1955513, OR = 0.90, p = 0.00033; rs927062, OR = 0.94, p = 0.00059). Functional annotation revealed that the two ARHGEF10L variants were located in super-enhancer regions and that AKAP6 rs927062 was associated with expression of GTPase gene ARHGAP5 (Rho GTPase activating protein 5). Inherited variants in ARHGEF10L and AKAP6, with potential transcriptional regulatory function and association with EOC risk, warrant investigation in independent EOC study populations.
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- 2018
15. Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer
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Goode, Ellen L, Block, Matthew S, Kalli, Kimberly R, Vierkant, Robert A, Chen, Wenqian, Fogarty, Zachary C, Gentry-Maharaj, Aleksandra, Tołoczko, Aleksandra, Hein, Alexander, Bouligny, Aliecia L, Jensen, Allan, Osorio, Ana, Hartkopf, Andreas D, Ryan, Andy, Chudecka-Głaz, Anita, Magliocco, Anthony M, Hartmann, Arndt, Jung, Audrey Y, Gao, Bo, Hernandez, Brenda Y, Fridley, Brooke L, McCauley, Bryan M, Kennedy, Catherine J, Wang, Chen, Karpinskyj, Chloe, de Sousa, Christiani B, Tiezzi, Daniel G, Wachter, David L, Herpel, Esther, Taran, Florin Andrei, Modugno, Francesmary, Nelson, Gregg, Lubiński, Jan, Menkiszak, Janusz, Alsop, Jennifer, Lester, Jenny, García-Donas, Jesús, Nation, Jill, Hung, Jillian, Palacios, José, Rothstein, Joseph H, Kelley, Joseph L, de Andrade, Jurandyr M, Robles-Díaz, Luis, Intermaggio, Maria P, Widschwendter, Martin, Beckmann, Matthias W, Ruebner, Matthias, Jimenez-Linan, Mercedes, Singh, Naveena, Oszurek, Oleg, Harnett, Paul R, Rambau, Peter F, Sinn, Peter, Wagner, Philipp, Ghatage, Prafull, Sharma, Raghwa, Edwards, Robert P, Ness, Roberta B, Orsulic, Sandra, Brucker, Sara Y, Johnatty, Sharon E, Longacre, Teri A, Eilber, Ursula, McGuire, Valerie, Sieh, Weiva, Natanzon, Yanina, Li, Zheng, Whittemore, Alice S, deFazio, Anna, Staebler, Annette, Karlan, Beth Y, Gilks, Blake, Bowtell, David D, Høgdall, Estrid, dos Reis, Francisco J Candido, Steed, Helen, Campbell, Ian G, Gronwald, Jacek, Benítez, Javier, Koziak, Jennifer M, Chang-Claude, Jenny, Moysich, Kirsten B, Kelemen, Linda E, Cook, Linda S, Goodman, Marc T, García, María José, Fasching, Peter A, Kommoss, Stefan, Deen, Suha, Kjaer, Susanne K, Menon, Usha, Brenton, James D, Pharoah, Paul DP, Chenevix-Trench, Georgia, Huntsman, David G, Winham, Stacey J, Köbel, Martin, and Ramus, Susan J
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Immunology ,Cancer ,Prevention ,Vaccine Related ,Rare Diseases ,Clinical Research ,Ovarian Cancer ,BRCA2 Protein ,CD8 Antigens ,Carcinoma ,Ovarian Epithelial ,Cohort Studies ,Cystadenocarcinoma ,Serous ,Female ,Humans ,Lymphocytes ,Tumor-Infiltrating ,Middle Aged ,Mutation ,Neoplasm Grading ,Ovarian Neoplasms ,Prospective Studies ,Survival Analysis ,Treatment Outcome ,Ovarian Tumor Tissue Analysis (OTTA) Consortium ,Public Health and Health Services ,Oncology and carcinogenesis - Abstract
ImportanceCytotoxic CD8+ tumor-infiltrating lymphocytes (TILs) participate in immune control of epithelial ovarian cancer; however, little is known about prognostic patterns of CD8+ TILs by histotype and in relation to other clinical factors.ObjectiveTo define the prognostic role of CD8+ TILs in epithelial ovarian cancer.Design, setting, and participantsThis was a multicenter observational, prospective survival cohort study of the Ovarian Tumor Tissue Analysis Consortium. More than 5500 patients, including 3196 with high-grade serous ovarian carcinomas (HGSOCs), were followed prospectively for over 24 650 person-years.ExposuresFollowing immunohistochemical analysis, CD8+ TILs were identified within the epithelial components of tumor islets. Patients were grouped based on the estimated number of CD8+ TILs per high-powered field: negative (none), low (1-2), moderate (3-19), and high (≥20). CD8+ TILs in a subset of patients were also assessed in a quantitative, uncategorized manner, and the functional form of associations with survival was assessed using penalized B-splines.Main outcomes and measuresOverall survival time.ResultsThe final sample included 5577 women; mean age at diagnosis was 58.4 years (median, 58.2 years). Among the 5 major invasive histotypes, HGSOCs showed the most infiltration. CD8+ TILs in HGSOCs were significantly associated with longer overall survival; median survival was 2.8 years for patients with no CD8+ TILs and 3.0 years, 3.8 years, and 5.1 years for patients with low, moderate, or high levels of CD8+ TILs, respectively (P value for trend = 4.2 × 10−16). A survival benefit was also observed among women with endometrioid and mucinous carcinomas, but not for those with the other histotypes. Among HGSOCs, CD8+ TILs were favorable regardless of extent of residual disease following cytoreduction, known standard treatment, and germline BRCA1 pathogenic mutation, but were not prognostic for BRCA2 mutation carriers. Evaluation of uncategorized CD8+ TIL counts showed a near-log-linear functional form.Conclusions and relevanceThis study demonstrates the histotype-specific nature of immune infiltration and provides definitive evidence for a dose-response relationship between CD8+ TILs and HGSOC survival. That the extent of infiltration is prognostic, not merely its presence or absence, suggests that understanding factors that drive infiltration will be the key to unraveling outcome heterogeneity in this cancer.
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- 2017
16. Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer.
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Ovarian Tumor Tissue Analysis (OTTA) Consortium, Goode, Ellen L, Block, Matthew S, Kalli, Kimberly R, Vierkant, Robert A, Chen, Wenqian, Fogarty, Zachary C, Gentry-Maharaj, Aleksandra, Tołoczko, Aleksandra, Hein, Alexander, Bouligny, Aliecia L, Jensen, Allan, Osorio, Ana, Hartkopf, Andreas, Ryan, Andy, Chudecka-Głaz, Anita, Magliocco, Anthony M, Hartmann, Arndt, Jung, Audrey Y, Gao, Bo, Hernandez, Brenda Y, Fridley, Brooke L, McCauley, Bryan M, Kennedy, Catherine J, Wang, Chen, Karpinskyj, Chloe, de Sousa, Christiani B, Tiezzi, Daniel G, Wachter, David L, Herpel, Esther, Taran, Florin Andrei, Modugno, Francesmary, Nelson, Gregg, Lubiński, Jan, Menkiszak, Janusz, Alsop, Jennifer, Lester, Jenny, García-Donas, Jesús, Nation, Jill, Hung, Jillian, Palacios, José, Rothstein, Joseph H, Kelley, Joseph L, de Andrade, Jurandyr M, Robles-Díaz, Luis, Intermaggio, Maria P, Widschwendter, Martin, Beckmann, Matthias W, Ruebner, Matthias, Jimenez-Linan, Mercedes, Singh, Naveena, Oszurek, Oleg, Harnett, Paul R, Rambau, Peter F, Sinn, Peter, Wagner, Philipp, Ghatage, Prafull, Sharma, Raghwa, Edwards, Robert P, Ness, Roberta B, Orsulic, Sandra, Brucker, Sara Y, Johnatty, Sharon E, Longacre, Teri A, Ursula, Eilber, McGuire, Valerie, Sieh, Weiva, Natanzon, Yanina, Li, Zheng, Whittemore, Alice S, Anna, deFazio, Staebler, Annette, Karlan, Beth Y, Gilks, Blake, Bowtell, David D, Høgdall, Estrid, Candido dos Reis, Francisco J, Steed, Helen, Campbell, Ian G, Gronwald, Jacek, Benítez, Javier, Koziak, Jennifer M, Chang-Claude, Jenny, Moysich, Kirsten B, Kelemen, Linda E, Cook, Linda S, Goodman, Marc T, García, María José, Fasching, Peter A, Kommoss, Stefan, Deen, Suha, Kjaer, Susanne K, Menon, Usha, Brenton, James D, Pharoah, Paul DP, Chenevix-Trench, Georgia, Huntsman, David G, Winham, Stacey J, Köbel, Martin, and Ramus, Susan J
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Ovarian Tumor Tissue Analysis (OTTA) Consortium ,Lymphocytes ,Tumor-Infiltrating ,Humans ,Cystadenocarcinoma ,Serous ,Ovarian Neoplasms ,BRCA2 Protein ,Treatment Outcome ,Survival Analysis ,Cohort Studies ,Prospective Studies ,Mutation ,Middle Aged ,Female ,Neoplasm Grading ,CD8 Antigens ,Carcinoma ,Ovarian Epithelial ,Lymphocytes ,Tumor-Infiltrating ,Cystadenocarcinoma ,Serous ,Carcinoma ,Ovarian Epithelial ,Cancer ,Prevention ,Ovarian Cancer ,Rare Diseases ,Vaccine Related ,Clinical Research ,Oncology and Carcinogenesis ,Public Health and Health Services - Abstract
ImportanceCytotoxic CD8+ tumor-infiltrating lymphocytes (TILs) participate in immune control of epithelial ovarian cancer; however, little is known about prognostic patterns of CD8+ TILs by histotype and in relation to other clinical factors.ObjectiveTo define the prognostic role of CD8+ TILs in epithelial ovarian cancer.Design, setting, and participantsThis was a multicenter observational, prospective survival cohort study of the Ovarian Tumor Tissue Analysis Consortium. More than 5500 patients, including 3196 with high-grade serous ovarian carcinomas (HGSOCs), were followed prospectively for over 24 650 person-years.ExposuresFollowing immunohistochemical analysis, CD8+ TILs were identified within the epithelial components of tumor islets. Patients were grouped based on the estimated number of CD8+ TILs per high-powered field: negative (none), low (1-2), moderate (3-19), and high (≥20). CD8+ TILs in a subset of patients were also assessed in a quantitative, uncategorized manner, and the functional form of associations with survival was assessed using penalized B-splines.Main outcomes and measuresOverall survival time.ResultsThe final sample included 5577 women; mean age at diagnosis was 58.4 years (median, 58.2 years). Among the 5 major invasive histotypes, HGSOCs showed the most infiltration. CD8+ TILs in HGSOCs were significantly associated with longer overall survival; median survival was 2.8 years for patients with no CD8+ TILs and 3.0 years, 3.8 years, and 5.1 years for patients with low, moderate, or high levels of CD8+ TILs, respectively (P value for trend = 4.2 × 10−16). A survival benefit was also observed among women with endometrioid and mucinous carcinomas, but not for those with the other histotypes. Among HGSOCs, CD8+ TILs were favorable regardless of extent of residual disease following cytoreduction, known standard treatment, and germline BRCA1 pathogenic mutation, but were not prognostic for BRCA2 mutation carriers. Evaluation of uncategorized CD8+ TIL counts showed a near-log-linear functional form.Conclusions and relevanceThis study demonstrates the histotype-specific nature of immune infiltration and provides definitive evidence for a dose-response relationship between CD8+ TILs and HGSOC survival. That the extent of infiltration is prognostic, not merely its presence or absence, suggests that understanding factors that drive infiltration will be the key to unraveling outcome heterogeneity in this cancer.
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- 2017
17. Pharmacogenomics and functional imaging to predict irinotecan pharmacokinetics and pharmacodynamics: the predict IR study
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Michael, Michael, Liauw, Winston, McLachlan, Sue-Anne, Link, Emma, Matera, Annetta, Thompson, Michael, Jefford, Michael, Hicks, Rod J., Cullinane, Carleen, Hatzimihalis, Athena, Campbell, Ian G., Rowley, Simone, Beale, Phillip J., Karapetis, Christos S., Price, Timothy, and Burge, Mathew E.
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- 2021
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18. Refined cut-off for TP53 immunohistochemistry improves prediction of TP53 mutation status in ovarian mucinous tumors: implications for outcome analyses
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Kang, Eun Young, Cheasley, Dane, LePage, Cecile, Wakefield, Matthew J., da Cunha Torres, Michelle, Rowley, Simone, Salazar, Carolina, Xing, Zhongyue, Allan, Prue, Bowtell, David D.L., Mes-Masson, Anne-Marie, Provencher, Diane M., Rahimi, Kurosh, Kelemen, Linda E., Fasching, Peter A., Doherty, Jennifer A., Goodman, Marc T., Goode, Ellen L., Deen, Suha, Pharoah, Paul D.P., Brenton, James D., Sieh, Weiva, Mateoiu, Constantina, Sundfeldt, Karin, Cook, Linda S., Le, Nhu D., Anglesio, Michael S., Gilks, C. Blake, Huntsman, David G., Kennedy, Catherine J., Traficante, Nadia, Bowtell, D., Chenevix-Trench, G., Green, A., Webb, P., DeFazio, A., Gertig, D., Traficante, N., Fereday, S., Moore, S., Hung, J., Harrap, K., Sadkowsky, T., Pandeya, N., Malt, M., Mellon, A., Robertson, R., Bergh, T. Vanden, Jones, M., Mackenzie, P., Maidens, J., Nattress, K., Chiew, Y.E., Stenlake, A., Sullivan, H., Alexander, B., Ashover, P., Brown, S., Corrish, T., Green, L., Jackman, L., Ferguson, K., Martin, K., Martyn, A., Ranieri, B., White, J., Jayde, V., Mamers, P., Bowes, L., Galletta, L., Giles, D., Hendley, J., Alsop, K., Schmidt, T., Shirley, H., Ball, C., Young, C., Viduka, S., Tran, Hoa, Bilic, Sanela, Glavinas, Lydia, Brooks, Julia, Stuart-Harris, R., Kirsten, F., Rutovitz, J., Clingan, P., Glasgow, A., Proietto, A., Braye, S., Otton, G., Shannon, J., Bonaventura, T., Stewart, J., Begbie, S., Friedlander, M., Bell, D., Baron-Hay, S., Ferrier, A., Gard, G., Nevell, D., Pavlakis, N., Valmadre, S., Young, B., Camaris, C., Crouch, R., Edwards, L., Hacker, N., Marsden, D., Robertson, G., Beale, P., Beith, J., Carter, J., Dalrymple, C., Houghton, R., Russell, P., Links, M., Grygiel, J., Hill, J., Brand, A., Byth, K., Jaworski, R., Harnett, P., Sharma, R., Wain, G., Ward, B., Papadimos, D., Crandon, A., Cummings, M., Horwood, K., Obermair, A., Perrin, L., Wyld, D., Nicklin, J., Davy, M., Oehler, M.K., Hall, C., Dodd, T., Healy, T., Pittman, K., Henderson, D., Miller, J., Pierdes, J., Blomfield, P., Challis, D., McIntosh, R., Parker, A., Brown, B., Rome, R., Allen, D., Grant, P., Hyde, S., Laurie, R., Robbie, M., Healy, D., Jobling, T., Manolitsas, T., McNealage, J., Rogers, P., Susil, B., Sumithran, E., Simpson, I., Phillips, K., Rischin, D., Fox, S., Johnson, D., Lade, S., Loughrey, M., O'Callaghan, N., Murray, W., Waring, P., Billson, V., Pyman, J., Neesham, D., Quinn, M., Underhill, C., Bell, R., Ng, L.F., Blum, R., Ganju, V., Hammond, I., Leung, Y., McCartney, A., Buck, M., Haviv, I., Purdie, D., Whiteman, D., Zeps, N., DeFazio, Anna, Kaufmann, Scott, Churchman, Michael, Gourley, Charlie, Stephens, Andrew N., Meagher, Nicola S., Ramus, Susan J., Antill, Yoland C., Campbell, Ian, Scott, Clare L., Köbel, Martin, Gorringe, Kylie L., Ryland, Georgina L., Allan, Prue E., Alsop, Kathryn, Ananda, Sumitra, Au-Yeung, George, Böhm, Maret, Brand, Alison, Chenevix-Trench, Georgia, Christie, Michael, Chiew, Yoke-Eng, Dudley, Rhiannon, Fairweather, Nicole, Fereday, Sian, Fox, Stephen B., Hacker, Neville F., Hadley, Alison M., Hendley, Joy, Ho, Gwo-Yaw, Hunter, Sally M., Jobling, Tom W., Kalli, Kimberly R., Kaufmann, Scott H., Le Page, Cecile, McNally, Orla M., McAlpine, Jessica N., Mileshkin, Linda, Pyman, Jan, Samimi, Goli, Sharma, Ragwha, and Campbell, Ian G.
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- 2021
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19. Daytime Sleepiness Increases With Age in Early Adolescence: A Sleep Restriction Dose–Response Study
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Campbell, Ian G, Burright, Christopher S, Kraus, Amanda M, Grimm, Kevin J, and Feinberg, Irwin
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Research ,Sleep Research ,Pediatric ,Neurosciences ,Adolescent ,Age Factors ,Aging ,Child ,Female ,Humans ,Male ,Neuronal Plasticity ,Polysomnography ,Sleep Deprivation ,Sleep Stages ,Time Factors ,sleep deprivation ,MSLT ,brain maturation ,brain maturation. ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery ,Biological sciences ,Biomedical and clinical sciences ,Psychology - Abstract
Study objectivesDaytime sleepiness increases across adolescence. This increase is commonly attributed to insufficient sleep durations resulting from increasingly limited time in bed. We tested the effects of 3 sleep schedules on daytime sleepiness and whether these effects changed with age in early adolescence.MethodsIn 77 children ranging in age from 9.9 to 14 years, objective (multiple sleep latency test [MSLT]) and subjective (Karolinska sleepiness scale [KSS]) sleepiness was measured following 4 consecutive nights of either 7, 8.5, or 10 hours in bed. All participants completed all 3 sleep schedules. The order in which they completed the schedules was not randomized but was accounted for in all statistical analyses.ResultsTime in bed restriction decreased sleep duration and increased objective and subjective daytime sleepiness. Although the sleep durations did not change with age, the likelihood of falling asleep during the MSLT increased with age. Nevertheless, sleep restriction produced a greater increase in MSLT-measured sleepiness in younger participants. Subjective sleepiness measured with the KSS increased with shorter sleep duration, but this effect did not change with age.ConclusionsIncreasing objective daytime sleepiness in early adolescence cannot simply be attributed to reduced sleep due to restricted sleep schedules. We propose that some of the increased daytime sleepiness of adolescents is a consequence of adolescent brain reorganization driven by synaptic pruning which decreases the intensity of waking brain activity.
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- 2017
20. No Evidence That Genetic Variation in the Myeloid-Derived Suppressor Cell Pathway Influences Ovarian Cancer Survival
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Sucheston-Campbell, Lara E, Cannioto, Rikki, Clay, Alyssa I, Etter, John Lewis, Eng, Kevin H, Liu, Song, Battaglia, Sebastiano, Hu, Qiang, Szender, J Brian, Minlikeeva, Albina, Joseph, Janine M, Mayor, Paul, Abrams, Scott I, Segal, Brahm H, Wallace, Paul K, Soh, Kah Teong, Zsiros, Emese, Anton-Culver, Hoda, Bandera, Elisa V, Beckmann, Matthias W, Berchuck, Andrew, Bjorge, Line, Bruegl, Amanda, Campbell, Ian G, Campbell, Shawn Patrice, Chenevix-Trench, Georgia, Study, on behalf of the Australian Ovarian Cancer, Cramer, Daniel W, Dansonka-Mieszkowska, Agnieszka, Dao, Fanny, Diergaarde, Brenda, Doerk, Thilo, Doherty, Jennifer A, du Bois, Andreas, Eccles, Diana, Engelholm, Svend Aage, Fasching, Peter A, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Glasspool, Rosalind M, Goodman, Marc T, Gronwald, Jacek, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hillemmanns, Peter, Høgdall, Claus, Høgdall, Estrid VS, Huzarski, Tomasz, Jensen, Allan, Johnatty, Sharon E, Jung, Audrey, Karlan, Beth Y, Klapdor, Reudiger, Kluz, Tomasz, Konopka, Bożena, Kjær, Susanne Krüger, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lester, Jenny, Lubiński, Jan, Levine, Douglas A, Lundvall, Lene, McGuire, Valerie, McNeish, Iain A, Menon, Usha, Modugno, Francesmary, Ness, Roberta B, Orsulic, Sandra, Paul, James, Pearce, Celeste Leigh, Pejovic, Tanja, Pharoah, Paul, Ramus, Susan J, Rothstein, Joseph, Rossing, Mary Anne, Rübner, Matthias, Schildkraut, Joellen M, Schmalfeldt, Barbara, Schwaab, Ira, Siddiqui, Nadeem, Sieh, Weiva, Sobiczewski, Piotr, Song, Honglin, Terry, Kathryn L, Van Nieuwenhuysen, Els, Vanderstichele, Adriaan, Vergote, Ignace, Walsh, Christine S, Webb, Penelope M, Wentzensen, Nicolas, Whittemore, Alice S, Wu, Anna H, Ziogas, Argyrios, Odunsi, Kunle, Chang-Claude, Jenny, Goode, Ellen L, and Moysich, Kirsten B
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Immunology ,Clinical Research ,Cancer ,Ovarian Cancer ,Rare Diseases ,Prevention ,Genetics ,Genetic Testing ,2.1 Biological and endogenous factors ,Aetiology ,Carcinoma ,Ovarian Epithelial ,Female ,Genetic Association Studies ,Genetic Variation ,Humans ,Myeloid-Derived Suppressor Cells ,Neoplasms ,Glandular and Epithelial ,Ovarian Neoplasms ,Australian Ovarian Cancer Study ,Medical and Health Sciences ,Epidemiology ,Biomedical and clinical sciences ,Health sciences - Abstract
Background: The precise mechanism by which the immune system is adversely affected in cancer patients remains poorly understood, but the accumulation of immunosuppressive/protumorigenic myeloid-derived suppressor cells (MDSCs) is thought to be a prominent mechanism contributing to immunologic tolerance of malignant cells in epithelial ovarian cancer (EOC). To this end, we hypothesized genetic variation in MDSC pathway genes would be associated with survival after EOC diagnoses.Methods: We measured the hazard of death due to EOC within 10 years of diagnosis, overall and by invasive subtype, attributable to SNPs in 24 genes relevant in the MDSC pathway in 10,751 women diagnosed with invasive EOC. Versatile Gene-based Association Study and the admixture likelihood method were used to test gene and pathway associations with survival.Results: We did not identify individual SNPs that were significantly associated with survival after correction for multiple testing (P < 3.5 × 10-5), nor did we identify significant associations between the MDSC pathway overall, or the 24 individual genes and EOC survival.Conclusions: In this well-powered analysis, we observed no evidence that inherited variations in MDSC-associated SNPs, individual genes, or the collective genetic pathway contributed to EOC survival outcomes.Impact: Common inherited variation in genes relevant to MDSCs was not associated with survival in women diagnosed with invasive EOC. Cancer Epidemiol Biomarkers Prev; 26(3); 420-4. ©2016 AACR.
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- 2017
21. Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer
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Hampras, Shalaka S, Sucheston-Campbell, Lara E, Cannioto, Rikki, Chang-Claude, Jenny, Modugno, Francesmary, Dörk, Thilo, Hillemanns, Peter, Preus, Leah, Knutson, Keith L, Wallace, Paul K, Hong, Chi-Chen, Friel, Grace, Davis, Warren, Nesline, Mary, Pearce, Celeste L, Kelemen, Linda E, Goodman, Marc T, Bandera, Elisa V, Terry, Kathryn L, Schoof, Nils, Eng, Kevin H, Clay, Alyssa, Singh, Prashant K, Joseph, Janine M, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Baker, Helen, Bean, Yukie, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Cook, Linda S, Cramer, Daniel W, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Dennis, Joe, Despierre, Evelyn, Dicks, Ed, Doherty, Jennifer A, du Bois, Andreas, Dürst, Matthias, Easton, Doug, Eccles, Diana, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Gronwald, Jacek, Harrington, Patricia, Harter, Philipp, Hasmad, Hanis Nazihah, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hogdall, Claus, Hogdall, Estrid, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kellar, Melissa, Kelley, Joseph L, Kiemeney, Lambertus A, Klapdor, Rüdiger, Kolomeyevskaya, Nonna, Krakstad, Camilla, Kjaer, Susanne K, Kruszka, Bridget, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashikant, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lissowska, Jolanta, Liu, Song, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, and McGuire, Valeria
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Immunology ,Ovarian Cancer ,Rare Diseases ,Cancer ,Genetics ,2.1 Biological and endogenous factors ,Aetiology ,Adenocarcinoma ,Clear Cell ,Adult ,Aged ,Carcinoma ,Ovarian Epithelial ,Female ,Gene Expression Regulation ,Neoplastic ,Gene Frequency ,Genetic Predisposition to Disease ,Genotype ,Humans ,Middle Aged ,Neoplasms ,Glandular and Epithelial ,Ovarian Neoplasms ,Polymorphism ,Single Nucleotide ,Protein Serine-Threonine Kinases ,Receptor ,Transforming Growth Factor-beta Type II ,Receptors ,Transforming Growth Factor beta ,Risk Factors ,T-Lymphocytes ,Regulatory ,ovarian cancer ,immunosuppression ,biomarkers ,genetic variation ,TGFBR2 ,TGFBR2 ,Oncology and carcinogenesis - Abstract
BackgroundRegulatory T (Treg) cells, a subset of CD4+ T lymphocytes, are mediators of immunosuppression in cancer, and, thus, variants in genes encoding Treg cell immune molecules could be associated with ovarian cancer.MethodsIn a population of 15,596 epithelial ovarian cancer (EOC) cases and 23,236 controls, we measured genetic associations of 1,351 SNPs in Treg cell pathway genes with odds of ovarian cancer and tested pathway and gene-level associations, overall and by histotype, for the 25 genes, using the admixture likelihood (AML) method. The most significant single SNP associations were tested for correlation with expression levels in 44 ovarian cancer patients.ResultsThe most significant global associations for all genes in the pathway were seen in endometrioid ( p = 0.082) and clear cell ( p = 0.083), with the most significant gene level association seen with TGFBR2 ( p = 0.001) and clear cell EOC. Gene associations with histotypes at p < 0.05 included: IL12 ( p = 0.005 and p = 0.008, serous and high-grade serous, respectively), IL8RA ( p = 0.035, endometrioid and mucinous), LGALS1 ( p = 0.03, mucinous), STAT5B ( p = 0.022, clear cell), TGFBR1 ( p = 0.021 endometrioid) and TGFBR2 ( p = 0.017 and p = 0.025, endometrioid and mucinous, respectively).ConclusionsCommon inherited gene variation in Treg cell pathways shows some evidence of germline genetic contribution to odds of EOC that varies by histologic subtype and may be associated with mRNA expression of immune-complex receptor in EOC patients.
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- 2016
22. IN MEMORIAM - Irwin Feinberg, MD
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Campbell, Ian G., Rosenlicht, Nicholas, and March, Jonathan D.
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- 2022
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23. Therapeutic options for mucinous ovarian carcinoma
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Gorringe, Kylie L., Cheasley, Dane, Wakefield, Matthew J., Ryland, Georgina L., Allan, Prue E., Alsop, Kathryn, Amarasinghe, Kaushalya C., Ananda, Sumitra, Bowtell, David D.L., Christie, Michael, Chiew, Yoke-Eng, Churchman, Michael, DeFazio, Anna, Fereday, Sian, Gilks, C. Blake, Gourley, Charlie, Hadley, Alison M., Hendley, Joy, Hunter, Sally M., Kaufmann, Scott H., Kennedy, Catherine J., Köbel, Martin, Le Page, Cecile, Li, Jason, Lupat, Richard, McNally, Orla M., McAlpine, Jessica N., Pyman, Jan, Rowley, Simone M., Salazar, Carolina, Saunders, Hugo, Semple, Timothy, Stephens, Andrew N., Thio, Niko, Torres, Michelle C., Traficante, Nadia, Zethoven, Magnus, Antill, Yoland C., Campbell, Ian G., and Scott, Clare L.
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- 2020
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24. Restricting Time in Bed in Early Adolescence Reduces Both NREM and REM Sleep but Does Not Increase Slow Wave EEG
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Campbell, Ian G, Kraus, Amanda M, Burright, Christopher S, and Feinberg, Irwin
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Medical Physiology ,Biomedical and Clinical Sciences ,Behavioral and Social Science ,Basic Behavioral and Social Science ,Mental Health ,Pediatric ,Clinical Research ,Sleep Research ,Neurosciences ,Adolescent ,Adolescent Development ,Brain ,Child ,Electroencephalography ,Female ,Humans ,Longitudinal Studies ,Male ,Sleep Deprivation ,Sleep Stages ,Sleep ,REM ,adolescent ,brain maturation ,delta ,sleep deprivation ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery ,Biological sciences ,Biomedical and clinical sciences ,Psychology - Abstract
Study objectivesSchool night total sleep time decreases across adolescence (9-18 years) by 10 min/year. This decline is comprised entirely of a selective decrease in NREM sleep; REM sleep actually increases slightly. Decreasing sleep duration across adolescence is often attributed to insufficient time in bed. Here we tested whether sleep restriction in early adolescence produces the same sleep stage changes observed on school nights across adolescence.MethodsAll-night sleep EEG was recorded in 76 children ranging in age from 9.9 to 14.0 years. Each participant kept 3 different sleep schedules that consisted of 3 nights of 8.5 h in bed followed by 4 nights of either 7, 8.5, or 10 h in bed. Sleep stage durations and NREM delta EEG activity were compared across the 3 time in bed conditions.ResultsShortening time in bed from 10 to 7 hours reduced sleep duration by approximately 2 hours, roughly equal to the decrease in sleep duration we recorded longitudinally across adolescence. However, sleep restriction significantly reduced both NREM (by 83 min) and REM (by 47 min) sleep. Sleep restriction did not affect NREM delta EEG activity.ConclusionsOur findings suggest that the selective NREM reduction and the small increase in REM we observed longitudinally across 9-18 years are not produced by sleep restriction. We hypothesize that the selective NREM decline reflects adolescent brain maturation (synaptic elimination) that reduces the need for the restorative processes of NREM sleep.
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- 2016
25. BRCA2 Polymorphic Stop Codon K3326X and the Risk of Breast, Prostate, and Ovarian Cancers.
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Meeks, Huong D, Song, Honglin, Michailidou, Kyriaki, Bolla, Manjeet K, Dennis, Joe, Wang, Qin, Barrowdale, Daniel, Frost, Debra, EMBRACE, McGuffog, Lesley, Ellis, Steve, Feng, Bingjian, Buys, Saundra S, Hopper, John L, Southey, Melissa C, Tesoriero, Andrea, kConFab Investigators, James, Paul A, Bruinsma, Fiona, Campbell, Ian G, Australia Ovarian Cancer Study Group, Broeks, Annegien, Schmidt, Marjanka K, Hogervorst, Frans BL, HEBON, Beckman, Matthias W, Fasching, Peter A, Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J, Riboli, Elio, Banerjee, Susana, Menon, Usha, Tomlinson, Ian, Burwinkel, Barbara, Hamann, Ute, Marme, Frederik, Rudolph, Anja, Janavicius, Ramunas, Tihomirova, Laima, Tung, Nadine, Garber, Judy, Cramer, Daniel, Terry, Kathryn L, Poole, Elizabeth M, Tworoger, Shelley S, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Godwin, Andrew K, Guénel, Pascal, Truong, Thérèse, GEMO Study Collaborators, Stoppa-Lyonnet, Dominique, Damiola, Francesca, Mazoyer, Sylvie, Sinilnikova, Olga M, Isaacs, Claudine, Maugard, Christine, Bojesen, Stig E, Flyger, Henrik, Gerdes, Anne-Marie, Hansen, Thomas VO, Jensen, Allen, Kjaer, Susanne K, Hogdall, Claus, Hogdall, Estrid, Pedersen, Inge Sokilde, Thomassen, Mads, Benitez, Javier, González-Neira, Anna, Osorio, Ana, Hoya, Miguel de la, Segura, Pedro Perez, Diez, Orland, Lazaro, Conxi, Brunet, Joan, Anton-Culver, Hoda, Eunjung, Lee, John, Esther M, Neuhausen, Susan L, Ding, Yuan Chun, Castillo, Danielle, Weitzel, Jeffrey N, Ganz, Patricia A, Nussbaum, Robert L, Chan, Salina B, Karlan, Beth Y, Lester, Jenny, Wu, Anna, Gayther, Simon, Ramus, Susan J, Sieh, Weiva, Whittermore, Alice S, Monteiro, Alvaro NA, Phelan, Catherine M, Terry, Mary Beth, Piedmonte, Marion, Offit, Kenneth, Robson, Mark, and Levine, Douglas
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EMBRACE ,kConFab Investigators ,Australia Ovarian Cancer Study Group ,HEBON ,GEMO Study Collaborators ,OCGN ,PRostate cancer AssoCiation group To Investigate Cancer Associated aLterations in the genome ,Humans ,Breast Neoplasms ,Ovarian Neoplasms ,Prostatic Neoplasms ,Neoplasm Invasiveness ,Genetic Predisposition to Disease ,Lysine ,BRCA2 Protein ,Codon ,Terminator ,Logistic Models ,Odds Ratio ,Risk Assessment ,Risk Factors ,Heterozygote ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Middle Aged ,Female ,Male ,Clinical Research ,Prevention ,Cancer ,Prostate Cancer ,Aging ,Urologic Diseases ,Breast Cancer ,Ovarian Cancer ,Rare Diseases ,Aetiology ,2.1 Biological and endogenous factors ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
The K3326X variant in BRCA2 (BRCA2*c.9976A>T; p.Lys3326*; rs11571833) has been found to be associated with small increased risks of breast cancer. However, it is not clear to what extent linkage disequilibrium with fully pathogenic mutations might account for this association. There is scant information about the effect of K3326X in other hormone-related cancers. Using weighted logistic regression, we analyzed data from the large iCOGS study including 76 637 cancer case patients and 83 796 control patients to estimate odds ratios (ORw) and 95% confidence intervals (CIs) for K3326X variant carriers in relation to breast, ovarian, and prostate cancer risks, with weights defined as probability of not having a pathogenic BRCA2 variant. Using Cox proportional hazards modeling, we also examined the associations of K3326X with breast and ovarian cancer risks among 7183 BRCA1 variant carriers. All statistical tests were two-sided. The K3326X variant was associated with breast (ORw = 1.28, 95% CI = 1.17 to 1.40, P = 5.9x10(-) (6)) and invasive ovarian cancer (ORw = 1.26, 95% CI = 1.10 to 1.43, P = 3.8x10(-3)). These associations were stronger for serous ovarian cancer and for estrogen receptor-negative breast cancer (ORw = 1.46, 95% CI = 1.2 to 1.70, P = 3.4x10(-5) and ORw = 1.50, 95% CI = 1.28 to 1.76, P = 4.1x10(-5), respectively). For BRCA1 mutation carriers, there was a statistically significant inverse association of the K3326X variant with risk of ovarian cancer (HR = 0.43, 95% CI = 0.22 to 0.84, P = .013) but no association with breast cancer. No association with prostate cancer was observed. Our study provides evidence that the K3326X variant is associated with risk of developing breast and ovarian cancers independent of other pathogenic variants in BRCA2. Further studies are needed to determine the biological mechanism of action responsible for these associations.
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- 2016
26. Evidence of a genetic link between endometriosis and ovarian cancer
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Lee, Alice W, Templeman, Claire, Stram, Douglas A, Beesley, Jonathan, Tyrer, Jonathan, Berchuck, Andrew, Pharoah, Paul P, Chenevix-Trench, Georgia, Pearce, Celeste Leigh, Consortium, Ovarian Cancer Association, Ness, Roberta B, Dansonka-Mieszkowska, Agnieszka, Gentry-Maharaj, Aleksandra, Hein, Alexander, Whittemore, Alice S, Jensen, Allan, du Bois, Andreas, Brooks-Wilson, Angela, Rudolph, Anja, Jakubowska, Anna, Wu, Anna H, Ziogas, Argyrios, Ekici, Arif B, Leminen, Arto, Study, Australian Cancer, Group, Australian Ovarian Cancer Study, Rosen, Barry, Spiewankiewicz, Beata, Karlan, Beth Y, Trabert, Britton, Fridley, Brooke L, Gilks, C Blake, Krakstad, Camilla, Phelan, Catherine M, Cybulski, Cezary, Walsh, Christine, Hogdall, Claus, Cramer, Daniel W, Huntsman, David G, Eccles, Diana, Lambrechts, Diether, Liang, Dong, Levine, Douglas A, Iversen, Edwin S, Bandera, Elisa V, Poole, Elizabeth M, Goode, Ellen L, Van Nieuwenhuysen, Els, Hogdall, Estrid, Bruinsma, Fiona, Heitz, Florian, Modugno, Francesmary, Giles, Graham G, Risch, Harvey A, Baker, Helen, Salvesen, Helga B, Nevanlinna, Heli, Anton-Culver, Hoda, Song, Honglin, McNeish, Iain, Campbell, Ian G, Vergote, Ignace, Runnebaum, Ingo B, Tangen, Ingvild L, Schwaab, Ira, Gronwald, Jacek, Paul, James, Lubinski, Jan, Doherty, Jennifer A, Chang-Claude, Jenny, Lester, Jenny, Schildkraut, Joellen M, McLaughlin, John R, Lissowska, Jolanta, Kupryjanczyk, Jolanta, Kelley, Joseph L, Rothstein, Joseph H, Cunningham, Julie M, Lu, Karen, Carty, Karen, Terry, Kathryn L, Aben, Katja KH, Moysich, Kirsten B, Wicklund, Kristine G, Odunsi, Kunle, Kiemeney, Lambertus A, Sucheston-Campbell, Lara, Lundvall, Lene, Massuger, Leon FAG, Pelttari, Liisa M, Kelemen, Linda E, Cook, Linda S, Bjorge, Line, Nedergaard, Lotte, Brinton, Louise A, Wilkens, Lynne R, Pike, Malcolm C, Goodman, Marc T, and Bisogna, Maria
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Prevention ,Cancer ,Rare Diseases ,Ovarian Cancer ,Genetics ,Genetic Testing ,Clinical Research ,Endometriosis ,2.1 Biological and endogenous factors ,Aetiology ,Case-Control Studies ,Computational Biology ,Databases ,Genetic ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Neoplasm Grading ,Ovarian Neoplasms ,Phenotype ,Polymorphism ,Single Nucleotide ,Risk Assessment ,Risk Factors ,Ovarian Cancer Association Consortium ,SNPs ,genetic variation ,ovarian cancer ,Clinical Sciences ,Paediatrics and Reproductive Medicine ,Public Health and Health Services ,Obstetrics & Reproductive Medicine ,Reproductive medicine - Abstract
ObjectiveTo evaluate whether endometriosis-associated genetic variation affects risk of ovarian cancer.DesignPooled genetic analysis.SettingUniversity hospital.Patient(s)Genetic data from 46,176 participants (15,361 ovarian cancer cases and 30,815 controls) from 41 ovarian cancer studies.Intervention(s)None.Main outcome measure(s)Endometriosis-associated genetic variation and ovarian cancer.Result(s)There was significant evidence of an association between endometriosis-related genetic variation and ovarian cancer risk, especially for the high-grade serous and clear cell histotypes. Overall we observed 15 significant burden statistics, which was three times more than expected.Conclusion(s)By focusing on candidate regions from a phenotype associated with ovarian cancer, we have shown a clear genetic link between endometriosis and ovarian cancer that warrants further follow-up. The functional significance of the identified regions and SNPs is presently uncertain, though future fine mapping and histotype-specific functional analyses may shed light on the etiologies of both gynecologic conditions.
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- 2016
27. Maturational Patterns of Sigma Frequency Power Across Childhood and Adolescence: A Longitudinal Study
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Campbell, Ian G and Feinberg, Irwin
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Medical Physiology ,Biomedical and Clinical Sciences ,Neurosciences ,Pediatric ,Sleep Research ,Neurological ,Adolescent ,Adolescent Development ,Brain ,Brain Waves ,Child ,Child Development ,Female ,Humans ,Longitudinal Studies ,Male ,Schools ,Sleep ,adolescence ,brain maturation ,EEG ,NREM ,sleep spindle ,trajectory ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery ,Biological sciences ,Biomedical and clinical sciences ,Psychology - Abstract
Study objectivesTo further evaluate adolescent brain maturation by determining the longitudinal trajectories of nonrapid eye movement (NREM) sigma (11-15 Hz) power across childhood-adolescence.MethodsThe maturational trend for sigma (11-15 Hz) power was evaluated in an accelerated longitudinal study of three overlapping age cohorts (n = 92) covering ages 6 to 18 y. Semiannually, sleep electroencephalography (EEG) was recorded from participants sleeping at home in their normal sleep environment while keeping their current school night schedules.ResultsSigma frequencies became faster with age. The frequency of the 11-15 Hz spectral peak increased linearly. Sigma frequency power (SFP) declined with age, but its trajectory was complex (cubic). Power in a group of low sigma subfrequencies declined with age. Power in a group of high sigma frequencies increased with age. Power in subfrequencies within 11-15 Hz also showed different trends across the night, with lower frequencies increasing across NREM periods and higher frequencies decreasing across NREM periods. The upper and lower boundaries for the sigma frequencies that changed across NREMPs shifted upward with age.ConclusionsWe hypothesize that these maturational brain changes result from synaptic elimination which decreases sleep depth and streamlines circuits. SFP displays a maturational trajectory different from both delta and theta power. Theories on the function of sigma must be reconciled with its maturational trajectory. These findings further demonstrate the value of sleep EEG for studying noninvasively the complex developmental brain changes of adolescence.
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- 2016
28. Maturational trend of daytime sleep propensity in adolescents
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Campbell, Ian G, primary, Figueroa, Jessica G, additional, Bottom, Vincent B, additional, Cruz-Basilio, Alejandro, additional, Zhang, Zoey Y, additional, and Grimm, Kevin J, additional
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- 2023
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29. Epithelial-Mesenchymal Transition (EMT) Gene Variants and Epithelial Ovarian Cancer (EOC) Risk.
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Amankwah, Ernest K, Lin, Hui-Yi, Tyrer, Jonathan P, Lawrenson, Kate, Dennis, Joe, Chornokur, Ganna, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Bruinsma, Fiona, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bunker, Clareann H, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chen, Zhihua, Chen, Y Ann, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, du Bois, Andreas, Despierre, Evelyn, Dicks, Ed, Doherty, Jennifer A, Dörk, Thilo, Dürst, Matthias, Easton, Douglas F, Eccles, Diana M, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harrington, Patricia, Harter, Philipp, Hasmad, Hanis N, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Claus K, Hogdall, Estrid, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Jim, Heather, Kellar, Melissa, Kiemeney, Lambertus A, Krakstad, Camilla, Kjaer, Susanne K, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lim, Boon Kiong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Ian, Menon, Usha, Milne, Roger L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Eilber, Ursula, Odunsi, Kunle, Olson, Sara H, Orlow, Irene, Orsulic, Sandra, and Weber, Rachel Palmieri
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Georgia Chenevix-Trench on behalf of the AOCS management group ,Humans ,Neoplasms ,Glandular and Epithelial ,Ovarian Neoplasms ,Genetic Predisposition to Disease ,Odds Ratio ,Risk ,Genotype ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Middle Aged ,European Continental Ancestry Group ,Female ,Genome-Wide Association Study ,Epithelial-Mesenchymal Transition ,Carcinoma ,Ovarian Epithelial ,epithelial-mesenchymal transition ,ovarian cancer ,single-nucleotide polymorphisms ,Neoplasms ,Glandular and Epithelial ,Polymorphism ,Single Nucleotide ,Carcinoma ,Ovarian Epithelial ,Epidemiology ,Public Health and Health Services ,Genetics - Abstract
Epithelial-mesenchymal transition (EMT) is a process whereby epithelial cells assume mesenchymal characteristics to facilitate cancer metastasis. However, EMT also contributes to the initiation and development of primary tumors. Prior studies that explored the hypothesis that EMT gene variants contribute to epithelial ovarian carcinoma (EOC) risk have been based on small sample sizes and none have sought replication in an independent population. We screened 15,816 single-nucleotide polymorphisms (SNPs) in 296 genes in a discovery phase using data from a genome-wide association study of EOC among women of European ancestry (1,947 cases and 2,009 controls) and identified 793 variants in 278 EMT-related genes that were nominally (P < 0.05) associated with invasive EOC. These SNPs were then genotyped in a larger study of 14,525 invasive-cancer patients and 23,447 controls. A P-value
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- 2015
30. Common variants at the CHEK2 gene locus and risk of epithelial ovarian cancer
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Lawrenson, Kate, Iversen, Edwin S, Tyrer, Jonathan, Weber, Rachel Palmieri, Concannon, Patrick, Hazelett, Dennis J, Li, Qiyuan, Marks, Jeffrey R, Berchuck, Andrew, Lee, Janet M, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Bandera, Elisa V, Bean, Yukie, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Chen, Ann, Chen, Zhihua, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Plisiecka-Halasa, Joanna, Dennis, Joe, Dicks, Ed, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Eccles, Diana, Easton, Douglas T, Edwards, Robert P, Eilber, Ursula, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goode, Ellen L, Goodman, Marc T, Gronwald, Jacek, Harter, Philipp, Hasmad, Hanis Nazihah, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Estrid, Hogdall, Claus, Hosono, Satoyo, Jakubowska, Anna, Paul, James, Jensen, Allan, Karlan, Beth Y, Kjaer, Susanne Kruger, Kelemen, Linda E, Kellar, Melissa, Kelley, Joseph L, Kiemeney, Lambertus A, Krakstad, Camilla, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Cannioto, Rikki, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, Nevanlinna, Heli, McNeish, Iain, Menon, Usha, Modugno, Francesmary, Moysich, Kirsten B, Narod, Steven A, Nedergaard, Lotte, Ness, Roberta B, Azmi, Mat Adenan Noor, Odunsi, Kunle, and Olson, Sara H
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Clinical Research ,Biotechnology ,Cancer ,Human Genome ,Ovarian Cancer ,Prevention ,Rare Diseases ,Genetic Testing ,Genetics ,Aetiology ,2.1 Biological and endogenous factors ,Carcinoma ,Ovarian Epithelial ,Case-Control Studies ,Checkpoint Kinase 2 ,Female ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Neoplasms ,Glandular and Epithelial ,Ovarian Neoplasms ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Risk Factors ,Australian Cancer Study ,Australian Ovarian Cancer Study Group ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
Genome-wide association studies have identified 20 genomic regions associated with risk of epithelial ovarian cancer (EOC), but many additional risk variants may exist. Here, we evaluated associations between common genetic variants [single nucleotide polymorphisms (SNPs) and indels] in DNA repair genes and EOC risk. We genotyped 2896 common variants at 143 gene loci in DNA samples from 15 397 patients with invasive EOC and controls. We found evidence of associations with EOC risk for variants at FANCA, EXO1, E2F4, E2F2, CREB5 and CHEK2 genes (P ≤ 0.001). The strongest risk association was for CHEK2 SNP rs17507066 with serous EOC (P = 4.74 x 10(-7)). Additional genotyping and imputation of genotypes from the 1000 genomes project identified a slightly more significant association for CHEK2 SNP rs6005807 (r (2) with rs17507066 = 0.84, odds ratio (OR) 1.17, 95% CI 1.11-1.24, P = 1.1×10(-7)). We identified 293 variants in the region with likelihood ratios of less than 1:100 for representing the causal variant. Functional annotation identified 25 candidate SNPs that alter transcription factor binding sites within regulatory elements active in EOC precursor tissues. In The Cancer Genome Atlas dataset, CHEK2 gene expression was significantly higher in primary EOCs compared to normal fallopian tube tissues (P = 3.72×10(-8)). We also identified an association between genotypes of the candidate causal SNP rs12166475 (r (2) = 0.99 with rs6005807) and CHEK2 expression (P = 2.70×10(-8)). These data suggest that common variants at 22q12.1 are associated with risk of serous EOC and CHEK2 as a plausible target susceptibility gene.
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- 2015
31. A functionally impaired missense variant identified in French Canadian families implicates FANCI as a candidate ovarian cancer-predisposing gene
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Fierheller, Caitlin T., Guitton-Sert, Laure, Alenezi, Wejdan M., Revil, Timothée, Oros, Kathleen K., Gao, Yuandi, Bedard, Karine, Arcand, Suzanna L., Serruya, Corinne, Behl, Supriya, Meunier, Liliane, Fleury, Hubert, Fewings, Eleanor, Subramanian, Deepak N., Nadaf, Javad, Bruce, Jeffrey P., Bell, Rachel, Provencher, Diane, Foulkes, William D., El Haffaf, Zaki, Mes-Masson, Anne-Marie, Majewski, Jacek, Pugh, Trevor J., Tischkowitz, Marc, James, Paul A., Campbell, Ian G., Greenwood, Celia M. T., Ragoussis, Jiannis, Masson, Jean-Yves, and Tonin, Patricia N.
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- 2021
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32. Evaluation of the association of heterozygous germline variants in NTHL1 with breast cancer predisposition: an international multi-center study of 47,180 subjects
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Li, Na, Zethoven, Magnus, McInerny, Simone, Devereux, Lisa, Huang, Yu-Kuan, Thio, Niko, Cheasley, Dane, Gutiérrez-Enríquez, Sara, Moles-Fernández, Alejandro, Diez, Orland, Nguyen-Dumont, Tu, Southey, Melissa C., Hopper, John L., Simard, Jacques, Dumont, Martine, Soucy, Penny, Meindl, Alfons, Schmutzler, Rita, Schmidt, Marjanka K., Adank, Muriel A., Andrulis, Irene L., Hahnen, Eric, Engel, Christoph, Lesueur, Fabienne, Girard, Elodie, Neuhausen, Susan L., Ziv, Elad, Allen, Jamie, Easton, Douglas F., Scott, Rodney J., Gorringe, Kylie L., James, Paul A., and Campbell, Ian G.
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- 2021
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33. Investigation of monogenic causes of familial breast cancer: data from the BEACCON case-control study
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Li, Na, Lim, Belle W. X., Thompson, Ella R., McInerny, Simone, Zethoven, Magnus, Cheasley, Dane, Rowley, Simone M., Wong-Brown, Michelle W., Devereux, Lisa, Gorringe, Kylie L., Sloan, Erica K., Trainer, Alison, Scott, Rodney J., James, Paul A., and Campbell, Ian G.
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- 2021
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34. Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer.
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Lawrenson, Kate, Li, Qiyuan, Kar, Siddhartha, Seo, Ji-Heui, Tyrer, Jonathan, Spindler, Tassja J, Lee, Janet, Chen, Yibu, Karst, Alison, Drapkin, Ronny, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Australian Ovarian Cancer Study Group, Baker, Helen, Bandera, Elisa V, Bean, Yukie, Beckmann, Matthias W, Berchuck, Andrew, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Chen, Anne, Chen, Zhihua, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Dennis, Joe, Dicks, Ed, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana, Easton, Douglas T, Edwards, Robert P, Eilber, Ursula, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goode, Ellen L, Goodman, Marc T, Grownwald, Jacek, Harrington, Patricia, Harter, Philipp, Hasmad, Hanis Nazihah, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Estrid, Hogdall, Claus, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, James, Paul, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kruger Kjaer, Susanne, Kelemen, Linda E, Kellar, Melissa, Kelley, Joseph L, Kiemeney, Lambertus A, Krakstad, Camilla, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, Nevanlinna, Heli, McNeish, Ian, and Menon, Usha
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Australian Ovarian Cancer Study Group ,Cell Line ,Tumor ,Humans ,Neoplasms ,Glandular and Epithelial ,Ovarian Neoplasms ,Genetic Predisposition to Disease ,Homeodomain Proteins ,Neoplasm Proteins ,Gene Expression Regulation ,Neoplastic ,Protein Binding ,Quantitative Trait Loci ,Female ,Nuchal Cord ,Genetic Association Studies ,Carcinoma ,Ovarian Epithelial ,Cell Line ,Tumor ,Neoplasms ,Glandular and Epithelial ,Gene Expression Regulation ,Neoplastic ,Carcinoma ,Ovarian Epithelial ,Rare Diseases ,Prevention ,Ovarian Cancer ,Biotechnology ,Human Genome ,Cancer ,Genetics ,2.1 Biological and endogenous factors - Abstract
Genome-wide association studies have reported 11 regions conferring risk of high-grade serous epithelial ovarian cancer (HGSOC). Expression quantitative trait locus (eQTL) analyses can identify candidate susceptibility genes at risk loci. Here we evaluate cis-eQTL associations at 47 regions associated with HGSOC risk (P≤10(-5)). For three cis-eQTL associations (P
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- 2015
35. Genome-wide significant risk associations for mucinous ovarian carcinoma (vol 47, pg 888, 2015)
- Author
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Kelemen, Linda E, Lawrenson, Kate, Tyrer, Jonathan, Li, Qiyuan, Lee, Janet M, Seo, Ji-Heui, Phelan, Catherine M, Beesley, Jonathan, Chen, Xiaoqing, Spindler, Tassja J, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Baker, Helen, Bandera, Elisa V, Bean, Yukie, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Chen, Y Ann, Chen, Zhihua, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Dennis, Joe, Dicks, Ed, Doherty, Jennifer A, Doerk, Thilo, du Bois, Andreas, Duerst, Matthias, Eccles, Diana, Easton, Douglas T, Edwards, Robert P, Eilber, Ursula, Ekici, Arif B, Engelholm, Svend Aage, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goode, Ellen L, Goodman, Marc T, Grownwald, Jacek, Harrington, Patricia, Harter, Philipp, Hasmad, Hanis Nazihah, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Estrid, Hogdall, Claus, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kellar, Melissa, Kelley, Joseph L, Kiemeney, Lambertus A, Krakstad, Camilla, Kjaer, Susanne K, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Iain, Menon, Usha, Modugno, Francesmary, Moes-Sosnowska, Joanna, Moysich, Kirsten B, Narod, Steven A, and Nedergaard, Lotte
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Developmental Biology ,Medical and Health Sciences ,Biological Sciences - Published
- 2015
36. Cell-type-specific enrichment of risk-associated regulatory elements at ovarian cancer susceptibility loci
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Coetzee, Simon G, Shen, Howard C, Hazelett, Dennis J, Lawrenson, Kate, Kuchenbaecker, Karoline, Tyrer, Jonathan, Rhie, Suhn K, Levanon, Keren, Karst, Alison, Drapkin, Ronny, Ramus, Susan J, Consortium, The Consortium of Investigators of Modifiers of BRCA1 2 The Ovarian Cancer Association, Couch, Fergus J, Offit, Kenneth, Chenevix-Trench, Georgia, Monteiro, Alvaro NA, Antoniou, Antonis, Freedman, Matthew, Coetzee, Gerhard A, Pharoah, Paul DP, Noushmehr, Houtan, Gayther, Simon A, Anton-Culver, Hoda, Antonenkova, Natalia, Baker, Helen, Bandera, Elisa V, Bean, Yukie, Beckmann, Matthias W, Berchuck, Andrew, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Chen, Ann, Chen, Zhihua, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Dennis, Joe, Dicks, Ed, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana, Easton, Douglas F, Edwards, Robert P, Eilber, Ursula, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goode, Ellen L, Goodman, Marc T, Grownwald, Jacek, Harrington, Patricia, Harter, Philipp, Hasmad, Hanis Nazihah, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Estrid, Hogdall, Claus, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, James, Paul, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kjaer, Susanne Kruger, Kelemen, Linda E, Kellar, Melissa, Kelley, Joseph L, Kiemeney, Lambertus A, Krakstad, Camilla, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, and Lissowska, Jolanta
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Biological Sciences ,Genetics ,Rare Diseases ,Prevention ,Human Genome ,Ovarian Cancer ,Biotechnology ,Cancer ,2.1 Biological and endogenous factors ,Underpinning research ,Aetiology ,1.1 Normal biological development and functioning ,Chromatin ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Histones ,Humans ,Organ Specificity ,Ovarian Neoplasms ,Polymorphism ,Single Nucleotide ,Regulatory Sequences ,Nucleic Acid ,Ovarian Cancer Association Consortium ,The Consortium of Investigators of Modifiers of BRCA1/2 ,Ovarian Cancer Association Consortium The Consortium of Investigators of Modifiers of BRCA1/2 ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Understanding the regulatory landscape of the human genome is a central question in complex trait genetics. Most single-nucleotide polymorphisms (SNPs) associated with cancer risk lie in non-protein-coding regions, implicating regulatory DNA elements as functional targets of susceptibility variants. Here, we describe genome-wide annotation of regions of open chromatin and histone modification in fallopian tube and ovarian surface epithelial cells (FTSECs, OSECs), the debated cellular origins of high-grade serous ovarian cancers (HGSOCs) and in endometriosis epithelial cells (EECs), the likely precursor of clear cell ovarian carcinomas (CCOCs). The regulatory architecture of these cell types was compared with normal human mammary epithelial cells and LNCaP prostate cancer cells. We observed similar positional patterns of global enhancer signatures across the three different ovarian cancer precursor cell types, and evidence of tissue-specific regulatory signatures compared to non-gynecological cell types. We found significant enrichment for risk-associated SNPs intersecting regulatory biofeatures at 17 known HGSOC susceptibility loci in FTSECs (P = 3.8 × 10(-30)), OSECs (P = 2.4 × 10(-23)) and HMECs (P = 6.7 × 10(-15)) but not for EECs (P = 0.45) or LNCaP cells (P = 0.88). Hierarchical clustering of risk SNPs conditioned on the six different cell types indicates FTSECs and OSECs are highly related (96% of samples using multi-scale bootstrapping) suggesting both cell types may be precursors of HGSOC. These data represent the first description of regulatory catalogues of normal precursor cells for different ovarian cancer subtypes, and provide unique insights into the tissue specific regulatory variation with respect to the likely functional targets of germline genetic susceptibility variants for ovarian cancer.
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- 2015
37. Identification of six new susceptibility loci for invasive epithelial ovarian cancer.
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Kuchenbaecker, Karoline B, Ramus, Susan J, Tyrer, Jonathan, Lee, Andrew, Shen, Howard C, Beesley, Jonathan, Lawrenson, Kate, McGuffog, Lesley, Healey, Sue, Lee, Janet M, Spindler, Tassja J, Lin, Yvonne G, Pejovic, Tanja, Bean, Yukie, Li, Qiyuan, Coetzee, Simon, Hazelett, Dennis, Miron, Alexander, Southey, Melissa, Terry, Mary Beth, Goldgar, David E, Buys, Saundra S, Janavicius, Ramunas, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Neuhausen, Susan L, Ding, Yuan Chun, Hansen, Thomas VO, Jønson, Lars, Gerdes, Anne-Marie, Ejlertsen, Bent, Barrowdale, Daniel, Dennis, Joe, Benitez, Javier, Osorio, Ana, Garcia, Maria Jose, Komenaka, Ian, Weitzel, Jeffrey N, Ganschow, Pamela, Peterlongo, Paolo, Bernard, Loris, Viel, Alessandra, Bonanni, Bernardo, Peissel, Bernard, Manoukian, Siranoush, Radice, Paolo, Papi, Laura, Ottini, Laura, Fostira, Florentia, Konstantopoulou, Irene, Garber, Judy, Frost, Debra, Perkins, Jo, Platte, Radka, Ellis, Steve, EMBRACE, Godwin, Andrew K, Schmutzler, Rita Katharina, Meindl, Alfons, Engel, Christoph, Sutter, Christian, Sinilnikova, Olga M, GEMO Study Collaborators, Damiola, Francesca, Mazoyer, Sylvie, Stoppa-Lyonnet, Dominique, Claes, Kathleen, De Leeneer, Kim, Kirk, Judy, Rodriguez, Gustavo C, Piedmonte, Marion, O'Malley, David M, de la Hoya, Miguel, Caldes, Trinidad, Aittomäki, Kristiina, Nevanlinna, Heli, Collée, J Margriet, Rookus, Matti A, Oosterwijk, Jan C, Breast Cancer Family Registry, Tihomirova, Laima, Tung, Nadine, Hamann, Ute, Isaccs, Claudine, Tischkowitz, Marc, Imyanitov, Evgeny N, Caligo, Maria A, Campbell, Ian G, Hogervorst, Frans BL, HEBON, Olah, Edith, Diez, Orland, Blanco, Ignacio, Brunet, Joan, Lazaro, Conxi, Pujana, Miquel Angel, Jakubowska, Anna, Gronwald, Jacek, Lubinski, Jan, and Sukiennicki, Grzegorz
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EMBRACE ,GEMO Study Collaborators ,Breast Cancer Family Registry ,HEBON ,KConFab Investigators ,Australian Cancer Study ,Australian Ovarian Cancer Study Group ,Consortium of Investigators of Modifiers of BRCA1 and BRCA2 ,Humans ,Neoplasms ,Glandular and Epithelial ,Ovarian Neoplasms ,Genetic Predisposition to Disease ,BRCA1 Protein ,BRCA2 Protein ,Risk ,Genotype ,Heterozygote ,Mutation ,Polymorphism ,Single Nucleotide ,Alleles ,Genes ,Reporter ,Quantitative Trait Loci ,Adolescent ,Adult ,Female ,Genome-Wide Association Study ,Young Adult ,Carcinoma ,Ovarian Epithelial ,Human Genome ,Rare Diseases ,Genetics ,Cancer ,Prevention ,Ovarian Cancer ,2.1 Biological and endogenous factors ,Aetiology ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Genome-wide association studies (GWAS) have identified 12 epithelial ovarian cancer (EOC) susceptibility alleles. The pattern of association at these loci is consistent in BRCA1 and BRCA2 mutation carriers who are at high risk of EOC. After imputation to 1000 Genomes Project data, we assessed associations of 11 million genetic variants with EOC risk from 15,437 cases unselected for family history and 30,845 controls and from 15,252 BRCA1 mutation carriers and 8,211 BRCA2 mutation carriers (3,096 with ovarian cancer), and we combined the results in a meta-analysis. This new study design yielded increased statistical power, leading to the discovery of six new EOC susceptibility loci. Variants at 1p36 (nearest gene, WNT4), 4q26 (SYNPO2), 9q34.2 (ABO) and 17q11.2 (ATAD5) were associated with EOC risk, and at 1p34.3 (RSPO1) and 6p22.1 (GPX6) variants were specifically associated with the serous EOC subtype, all with P < 5 × 10(-8). Incorporating these variants into risk assessment tools will improve clinical risk predictions for BRCA1 and BRCA2 mutation carriers.
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- 2015
38. Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk
- Author
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Chornokur, Ganna, Lin, Hui-Yi, Tyrer, Jonathan P, Lawrenson, Kate, Dennis, Joe, Amankwah, Ernest K, Qu, Xiaotao, Tsai, Ya-Yu, Jim, Heather SL, Chen, Zhihua, Chen, Ann Y, Permuth-Wey, Jennifer, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Bruinsma, Fiona, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bunker, Clareann H, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, du Bois, Andreas, Despierre, Evelyn, Dicks, Ed, Doherty, Jennifer A, Dörk, Thilo, Dürst, Matthias, Easton, Douglas F, Eccles, Diana M, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harrington, Patricia, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Claus K, Hogdall, Estrid, Hosono, Satoyo, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kelemen, Linda E, Kellar, Mellissa, Kiemeney, Lambertus A, Krakstad, Camilla, Kjaer, Susanne K, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lim, Boon Kiong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Iain, Menon, Usha, Milne, Roger L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Eilber, Ursula, Odunsi, Kunle, Olson, Sara H, and Orlow, Irene
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Biological Sciences ,Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Genetics ,Cancer ,Ovarian Cancer ,Rare Diseases ,2.1 Biological and endogenous factors ,Aetiology ,Black or African American ,Alleles ,Asian ,Biological Transport ,Carcinoma ,Ovarian Epithelial ,Carrier Proteins ,Case-Control Studies ,Female ,Genetic Association Studies ,Genetic Predisposition to Disease ,Genetic Variation ,Humans ,Neoplasms ,Glandular and Epithelial ,Odds Ratio ,Ovarian Neoplasms ,Polymorphism ,Single Nucleotide ,Risk ,Georgia Chenevix-Trench ,AOCS management group ,General Science & Technology - Abstract
BackgroundDefective cellular transport processes can lead to aberrant accumulation of trace elements, iron, small molecules and hormones in the cell, which in turn may promote the formation of reactive oxygen species, promoting DNA damage and aberrant expression of key regulatory cancer genes. As DNA damage and uncontrolled proliferation are hallmarks of cancer, including epithelial ovarian cancer (EOC), we hypothesized that inherited variation in the cellular transport genes contributes to EOC risk.MethodsIn total, DNA samples were obtained from 14,525 case subjects with invasive EOC and from 23,447 controls from 43 sites in the Ovarian Cancer Association Consortium (OCAC). Two hundred seventy nine SNPs, representing 131 genes, were genotyped using an Illumina Infinium iSelect BeadChip as part of the Collaborative Oncological Gene-environment Study (COGS). SNP analyses were conducted using unconditional logistic regression under a log-additive model, and the FDR q
- Published
- 2015
39. Common Genetic Variation in Circadian Rhythm Genes and Risk of Epithelial Ovarian Cancer (EOC)
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Jim, Heather SL, Lin, Hui-Yi, Tyrer, Jonathan P, Lawrenson, Kate, Dennis, Joe, Chornokur, Ganna, Chen, Zhihua, Chen, Ann Y, Permuth-Wey, Jennifer, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Bruinsma, Fiona, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bunker, Clareann H, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, du Bois, Andreas, Despierre, Evelyn, Sieh, Weiva, Doherty, Jennifer A, Dörk, Thilo, Dürst, Matthias, Easton, Douglas F, Eccles, Diana M, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harter, Philipp, Hasmad, Hanis N, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Claus K, Hogdall, Estrid, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kellar, Melissa, Kiemeney, Lambertus A, Krakstad, Camilla, Kjaer, Susanne K, Kupryjanczyk, Jolanta, Vierkant, Robert A, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lim, Boon Kiong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Ian, Menon, Usha, Milne, Roger L, Modugno, Francesmary, Thomsen, Lotte, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Eilber, Ursula, Odunsi, Kunle, Olson, Sara H, Orlow, Irene, and Orsulic, Sandra
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Health Services and Systems ,Health Sciences ,Oncology and Carcinogenesis ,Cancer ,Orphan Drug ,Prevention ,Sleep Research ,Rare Diseases ,Ovarian Cancer ,Aetiology ,2.1 Biological and endogenous factors ,Georgia Chenevix-Trench on behalf of the AOCS management group 95 ,96 - Abstract
Disruption in circadian gene expression, whether due to genetic variation or environmental factors (e.g., light at night, shiftwork), is associated with increased incidence of breast, prostate, gastrointestinal and hematologic cancers and gliomas. Circadian genes are highly expressed in the ovaries where they regulate ovulation; circadian disruption is associated with several ovarian cancer risk factors (e.g., endometriosis). However, no studies have examined variation in germline circadian genes as predictors of ovarian cancer risk and invasiveness. The goal of the current study was to examine single nucleotide polymorphisms (SNPs) in circadian genes BMAL1, CRY2, CSNK1E, NPAS2, PER3, REV1 and TIMELESS and downstream transcription factors KLF10 and SENP3 as predictors of risk of epithelial ovarian cancer (EOC) and histopathologic subtypes. The study included a test set of 3,761 EOC cases and 2,722 controls and a validation set of 44,308 samples including 18,174 (10,316 serous) cases and 26,134 controls from 43 studies participating in the Ovarian Cancer Association Consortium (OCAC). Analysis of genotype data from 36 genotyped SNPs and 4600 imputed SNPs indicated that the most significant association was rs117104877 in BMAL1 (OR = 0.79, 95% CI = 0.68-0.90, p = 5.59 × 10-4]. Functional analysis revealed a significant down regulation of BMAL1 expression following cMYC overexpression and increasing transformation in ovarian surface epithelial (OSE) cells as well as alternative splicing of BMAL1 exons in ovarian and granulosa cells. These results suggest that variation in circadian genes, and specifically BMAL1, may be associated with risk of ovarian cancer, likely through disruption of hormonal pathways.
- Published
- 2015
40. Maturational trend of daytime sleep propensity in adolescents.
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Campbell, Ian G, Figueroa, Jessica G, Bottom, Vincent B, Cruz-Basilio, Alejandro, Zhang, Zoey Y, and Grimm, Kevin J
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- 2024
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41. Population-based genetic testing of asymptomatic women for breast and ovarian cancer susceptibility
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Rowley, Simone M., Mascarenhas, Lyon, Devereux, Lisa, Li, Na, Amarasinghe, Kaushalya C., Zethoven, Magnus, Lee, Jue Er Amanda, Lewis, Alexandra, Morgan, James A., Limb, Sharne, Young, Mary-Anne, James, Paul A., Trainer, Alison H., and Campbell, Ian G.
- Published
- 2019
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42. The genetic architecture of breast papillary lesions as a predictor of progression to carcinoma
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Kader, Tanjina, Elder, Kenneth, Zethoven, Magnus, Semple, Timothy, Hill, Prue, Goode, David L., Thio, Niko, Cheasley, Dane, Rowley, Simone M., Byrne, David J., Pang, Jia-Min, Miligy, Islam M., Green, Andrew R., Rakha, Emad A., Fox, Stephen B., Mann, G. Bruce, Campbell, Ian G., and Gorringe, Kylie L.
- Published
- 2020
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43. The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density
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Cheasley, Dane, Devereux, Lisa, Hughes, Siobhan, Nickson, Carolyn, Procopio, Pietro, Lee, Grant, Li, Na, Pridmore, Vicki, Elder, Kenneth, Bruce Mann, G., Kader, Tanjina, Rowley, Simone M., Fox, Stephen B., Byrne, David, Saunders, Hugo, Fujihara, Kenji M., Lim, Belle, Gorringe, Kylie L., and Campbell, Ian G.
- Published
- 2020
- Full Text
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44. Data from Enhanced GAB2 Expression Is Associated with Improved Survival in High-Grade Serous Ovarian Cancer and Sensitivity to PI3K Inhibition
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Davis, Sally J., primary, Sheppard, Karen E., primary, Anglesio, Michael S., primary, George, Joshy, primary, Traficante, Nadia, primary, Fereday, Sian, primary, Intermaggio, Maria P., primary, Menon, Usha, primary, Gentry-Maharaj, Aleksandra, primary, Lubinski, Jan, primary, Gronwald, Jacek, primary, Pearce, Celeste Leigh, primary, Pike, Malcolm C., primary, Wu, Anna, primary, Kommoss, Stefan, primary, Pfisterer, Jacobus, primary, du Bois, Andreas, primary, Hilpert, Felix, primary, Ramus, Susan J., primary, Bowtell, David D.L., primary, Huntsman, David G., primary, Pearson, Richard B., primary, Simpson, Kaylene J., primary, Campbell, Ian G., primary, and Gorringe, Kylie L., primary
- Published
- 2023
- Full Text
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45. Supplementary Table 1 from Enhanced GAB2 Expression Is Associated with Improved Survival in High-Grade Serous Ovarian Cancer and Sensitivity to PI3K Inhibition
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Davis, Sally J., primary, Sheppard, Karen E., primary, Anglesio, Michael S., primary, George, Joshy, primary, Traficante, Nadia, primary, Fereday, Sian, primary, Intermaggio, Maria P., primary, Menon, Usha, primary, Gentry-Maharaj, Aleksandra, primary, Lubinski, Jan, primary, Gronwald, Jacek, primary, Pearce, Celeste Leigh, primary, Pike, Malcolm C., primary, Wu, Anna, primary, Kommoss, Stefan, primary, Pfisterer, Jacobus, primary, du Bois, Andreas, primary, Hilpert, Felix, primary, Ramus, Susan J., primary, Bowtell, David D.L., primary, Huntsman, David G., primary, Pearson, Richard B., primary, Simpson, Kaylene J., primary, Campbell, Ian G., primary, and Gorringe, Kylie L., primary
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- 2023
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46. Data from Mutational Landscape of Ovarian Adult Granulosa Cell Tumors from Whole Exome and Targeted TERT Promoter Sequencing
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Alexiadis, Maria, primary, Rowley, Simone M., primary, Chu, Simon, primary, Leung, Dilys T.H., primary, Stewart, Colin J.R., primary, Amarasinghe, Kaushalya C., primary, Campbell, Ian G., primary, and Fuller, Peter J., primary
- Published
- 2023
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47. Supplementary Table 5 from Enhanced GAB2 Expression Is Associated with Improved Survival in High-Grade Serous Ovarian Cancer and Sensitivity to PI3K Inhibition
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Davis, Sally J., primary, Sheppard, Karen E., primary, Anglesio, Michael S., primary, George, Joshy, primary, Traficante, Nadia, primary, Fereday, Sian, primary, Intermaggio, Maria P., primary, Menon, Usha, primary, Gentry-Maharaj, Aleksandra, primary, Lubinski, Jan, primary, Gronwald, Jacek, primary, Pearce, Celeste Leigh, primary, Pike, Malcolm C., primary, Wu, Anna, primary, Kommoss, Stefan, primary, Pfisterer, Jacobus, primary, du Bois, Andreas, primary, Hilpert, Felix, primary, Ramus, Susan J., primary, Bowtell, David D.L., primary, Huntsman, David G., primary, Pearson, Richard B., primary, Simpson, Kaylene J., primary, Campbell, Ian G., primary, and Gorringe, Kylie L., primary
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- 2023
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48. Supplementary Figures and Tables from Enhanced GAB2 Expression Is Associated with Improved Survival in High-Grade Serous Ovarian Cancer and Sensitivity to PI3K Inhibition
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Davis, Sally J., primary, Sheppard, Karen E., primary, Anglesio, Michael S., primary, George, Joshy, primary, Traficante, Nadia, primary, Fereday, Sian, primary, Intermaggio, Maria P., primary, Menon, Usha, primary, Gentry-Maharaj, Aleksandra, primary, Lubinski, Jan, primary, Gronwald, Jacek, primary, Pearce, Celeste Leigh, primary, Pike, Malcolm C., primary, Wu, Anna, primary, Kommoss, Stefan, primary, Pfisterer, Jacobus, primary, du Bois, Andreas, primary, Hilpert, Felix, primary, Ramus, Susan J., primary, Bowtell, David D.L., primary, Huntsman, David G., primary, Pearson, Richard B., primary, Simpson, Kaylene J., primary, Campbell, Ian G., primary, and Gorringe, Kylie L., primary
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- 2023
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49. Supplementary Tables 1-6 from Mutational Landscape of Ovarian Adult Granulosa Cell Tumors from Whole Exome and Targeted TERT Promoter Sequencing
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Alexiadis, Maria, primary, Rowley, Simone M., primary, Chu, Simon, primary, Leung, Dilys T.H., primary, Stewart, Colin J.R., primary, Amarasinghe, Kaushalya C., primary, Campbell, Ian G., primary, and Fuller, Peter J., primary
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- 2023
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50. Supplementary Figure 1 from Mutational Landscape of Ovarian Adult Granulosa Cell Tumors from Whole Exome and Targeted TERT Promoter Sequencing
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Alexiadis, Maria, primary, Rowley, Simone M., primary, Chu, Simon, primary, Leung, Dilys T.H., primary, Stewart, Colin J.R., primary, Amarasinghe, Kaushalya C., primary, Campbell, Ian G., primary, and Fuller, Peter J., primary
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- 2023
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