113 results on '"Paz Polak"'
Search Results
2. Circulating tumor DNA is readily detectable among Ghanaian breast cancer patients supporting non-invasive cancer genomic studies in Africa
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Samuel Terkper Ahuno, Anna-Lisa Doebley, Thomas U. Ahearn, Joel Yarney, Nicholas Titiloye, Nancy Hamel, Ernest Adjei, Joe-Nat Clegg-Lamptey, Lawrence Edusei, Baffour Awuah, Xiaoyu Song, Verna Vanderpuye, Mustapha Abubakar, Maire Duggan, Daniel G. Stover, Kofi Nyarko, John M. S. Bartlett, Francis Aitpillah, Daniel Ansong, Kevin L. Gardner, Felix Andy Boateng, Anne M. Bowcock, Carlos Caldas, William D. Foulkes, Seth Wiafe, Beatrice Wiafe-Addai, Montserrat Garcia-Closas, Alexander Kwarteng, Gavin Ha, Jonine D. Figueroa, Paz Polak, and the Ghana Breast Health Study Team
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Circulating tumor DNA (ctDNA) sequencing studies could provide novel insights into the molecular pathology of cancer in sub-Saharan Africa. In 15 patient plasma samples collected at the time of diagnosis as part of the Ghana Breast Health Study and unselected for tumor grade and subtype, ctDNA was detected in a majority of patients based on whole- genome sequencing at high (30×) and low (0.1×) depths. Breast cancer driver copy number alterations were observed in the majority of patients.
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- 2021
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3. Current gene panels account for nearly all homologous recombination repair-associated multiple-case breast cancer families
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Thibaut S. Matis, Nadia Zayed, Bouchra Labraki, Manon de Ladurantaye, Théophane A. Matis, José Camacho Valenzuela, Nancy Hamel, Adrienne Atayan, Barbara Rivera, Yuval Tabach, Patricia N. Tonin, Alexandre Orthwein, Anne-Marie Mes-Masson, Zaki El Haffaf, William D. Foulkes, and Paz Polak
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract It was hypothesized that variants in underexplored homologous recombination repair (HR) genes could explain unsolved multiple-case breast cancer (BC) families. We investigated HR deficiency (HRD)-associated mutational signatures and second hits in tumor DNA from familial BC cases. No candidates genes were associated with HRD in 38 probands previously tested negative with gene panels. We conclude it is unlikely that unknown HRD-associated genes explain a large fraction of unsolved familial BC.
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- 2021
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4. Characterization of genetic predisposition to molecular subtypes of breast cancer in Brazilian patients
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Daniele Paixão, Giovana Tardin Torrezan, Karina Miranda Santiago, Maria Nirvana Formiga, Samuel Terkper Ahuno, Emmanuel Dias-Neto, Israel Tojal da Silva, William D. Foulkes, Paz Polak, and Dirce Maria Carraro
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breast cancer ,hereditary cancer ,multigene panel ,cancer genetics ,molecular subtype of breast cancer ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
IntroductionBRCA1 and BRCA2 germline pathogenic variants (GPVs) account for most of the 5-10% of breast cancer (BC) that is attributable to inherited genetic variants. BRCA1 GPVs are associated with the triple negative subtype, whereas BRCA2 GPVs are likely to result in higher grade, estrogen-receptor positive BCs. The contribution of other genes of high and moderate risk for BC has not been well defined and risk estimates to specific BC subtypes is lacking, especially for an admixed population like Brazilian.ObjectiveThe aim of this study is to evaluate the value of a multigene panel in detecting germline mutations in cancer-predisposing genes for Brazilian BC patients and its relation with molecular subtypes and the predominant molecular ancestry.Patients and methodsA total of 321 unrelated BC patients who fulfilled NCCN criteria for BRCA1/2 testing between 2016-2018 were investigated with a 94-genes panel. Molecular subtypes were retrieved from medical records and ancestry-specific variants were obtained from off-target reads obtained from the sequencing data.ResultsWe detected 83 GPVs in 81 patients (positivity rate of 25.2%). Among GPVs, 47% (39/83) were identified in high-risk BC genes (BRCA1/2, PALB2 and TP53) and 18% (15/83) in moderate-penetrance genes (ATM, CHEK2 and RAD51C). The remainder of the GPVs (35% - 29/83), were identified in lower-risk genes. As for the molecular subtypes, triple negative BC had a mutation frequency of 31.6% (25/79), with predominance in BRCA1 (12.6%; 10/79). Among the luminal subtypes, except Luminal B HER2-positive, 18.7% (29/155) had GPV with BRCA1/2 genes contributing 7.1% (11/155) and non-BRCA1/2 genes, 12.9% (20/155). For Luminal B HER2-positive subtype, 40% (16/40) had GPVs, with a predominance of ATM gene (15% - 6/40) and BRCA2 with only 2.5% (1/40). Finally, HER2-enriched subtype presented a mutation rate of 30.8% (4/13) with contribution of BRCA2 of 7.5% (1/13) and non-BRCA1/2 of 23% (3/13). Variants of uncertain significance (VUS) were identified in 77.6% (249/321) of the patients and the number of VUS was increased in patients with Asian and Native American ancestry.ConclusionThe multigene panel contributed to identify GPVs in genes other than BRCA1/2, increasing the positivity of the genetic test from 9.6% (BRCA1/2) to 25.2% and, considering only the most clinically relevant BC predisposing genes, to 16.2%. These results indicate that women with clinical criteria for hereditary BC may benefit from a multigene panel testing, as it allows identifying GPVs in genes that directly impact the clinical management of these patients and family members.
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- 2022
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5. The Great Majority of Homologous Recombination Repair-Deficient Tumors Are Accounted for by Established Causes
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Paula Štancl, Nancy Hamel, Keith M. Sigel, William D. Foulkes, Rosa Karlić, and Paz Polak
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homologous recombination deficiency ,HRDetect ,CHORD ,whole-genome sequencing ,promoter methylation ,Genetics ,QH426-470 - Abstract
Background: Gene-agnostic genomic biomarkers were recently developed to identify homologous recombination deficiency (HRD) tumors that are likely to respond to treatment with PARP inhibitors. Two machine-learning algorithms that predict HRD status, CHORD, and HRDetect, utilize various HRD-associated features extracted from whole-genome sequencing (WGS) data and show high sensitivity in detecting patients with BRCA1/2 bi-allelic inactivation in all cancer types. When using only DNA mutation data for the detection of potential causes of HRD, both HRDetect and CHORD find that 30–40% of cases that have been classified as HRD are due to unknown causes. Here, we examined the impact of tumor-specific thresholds and measurement of promoter methylation of BRCA1 and RAD51C on unexplained proportions of HRD cases across various tumor types.Methods: We gathered published CHORD and HRDetect probability scores for 828 samples from breast, ovarian, and pancreatic cancer from previous studies, as well as evidence of their biallelic inactivation (by either DNA alterations or promoter methylation) in HR-related genes. ROC curve analysis evaluated the performance of each classifier in specific cancer. Tenfold nested cross-validation was used to find the optimal threshold values of HRDetect and CHORD for classifying HR-deficient samples within each cancer type.Results: With the universal threshold, HRDetect has higher sensitivity in the detection of biallelic inactivation in BRCA1/2 than CHORD and resulted in a higher proportion of unexplained cases. When promoter methylation was excluded, in ovarian carcinoma, the proportion of unexplained cases increased from 26.8 to 48.8% for HRDetect and from 14.7 to 41.2% for CHORD. A similar increase was observed in breast cancer. Applying cancer-type-specific thresholds led to similar sensitivity and specificity for both methods. The cancer-type-specific thresholds for HRDetect reduced the number of unexplained cases from 21 to 12.3% without reducing the 96% sensitivity to known events. For CHORD, unexplained cases were reduced from 10 to 9% while sensitivity increased from 85.3 to 93.9%.Conclusion: These results suggest that WGS-based HRD classifiers should be adjusted for tumor types. When applied, only ∼10% of breast, ovarian, and pancreas cancer cases are not explained by known events in our dataset.
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- 2022
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6. Author Correction: A framework for clinical cancer subtyping from nucleosome profiling of cell-free DNA
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Anna-Lisa Doebley, Minjeong Ko, Hanna Liao, A. Eden Cruikshank, Katheryn Santos, Caroline Kikawa, Joseph B. Hiatt, Robert D. Patton, Navonil De Sarkar, Katharine A. Collier, Anna C. H. Hoge, Katharine Chen, Anat Zimmer, Zachary T. Weber, Mohamed Adil, Jonathan B. Reichel, Paz Polak, Viktor A. Adalsteinsson, Peter S. Nelson, David MacPherson, Heather A. Parsons, Daniel G. Stover, and Gavin Ha
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Science - Published
- 2023
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7. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
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Wei Jiao, Gurnit Atwal, Paz Polak, Rosa Karlic, Edwin Cuppen, PCAWG Tumor Subtypes and Clinical Translation Working Group, Alexandra Danyi, Jeroen de Ridder, Carla van Herpen, Martijn P. Lolkema, Neeltje Steeghs, Gad Getz, Quaid Morris, Lincoln D. Stein, and PCAWG Consortium
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Science - Abstract
Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.
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- 2020
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8. Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
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Wei Jiao, Gurnit Atwal, Paz Polak, Rosa Karlic, Edwin Cuppen, PCAWG Tumor Subtypes and Clinical Translation Working Group, Alexandra Danyi, Jeroen de Ridder, Carla van Herpen, Martijn P. Lolkema, Neeltje Steeghs, Gad Getz, Quaid D. Morris, Lincoln D. Stein, and PCAWG Consortium
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Science - Published
- 2022
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9. COOBoostR: An Extreme Gradient Boosting-Based Tool for Robust Tissue or Cell-of-Origin Prediction of Tumors
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Sungmin Yang, Kyungsik Ha, Woojeung Song, Masashi Fujita, Kirsten Kübler, Paz Polak, Eiso Hiyama, Hidewaki Nakagawa, Hong-Gee Kim, and Hwajin Lee
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biocomputational method ,bioinformatics-based prediction of cell-of-origin ,genomics ,epigenomics ,machine learning ,Science - Abstract
We present here COOBoostR, a computational method designed for the putative prediction of the tissue- or cell-of-origin of various cancer types. COOBoostR leverages regional somatic mutation density information and chromatin mark features to be applied to an extreme gradient boosting-based machine-learning algorithm. COOBoostR ranks chromatin marks from various tissue and cell types, which best explain the somatic mutation density landscape of any sample of interest. A specific tissue or cell type matching the chromatin mark feature with highest explanatory power is designated as a potential tissue- or cell-of-origin. Through integrating either ChIP-seq based chromatin data, along with regional somatic mutation density data derived from normal cells/tissue, precancerous lesions, and cancer types, we show that COOBoostR outperforms existing random forest-based methods in prediction speed, with comparable or better tissue or cell-of-origin prediction performance (prediction accuracy—normal cells/tissue: 76.99%, precancerous lesions: 95.65%, cancer cells: 89.39%). In addition, our results suggest a dynamic somatic mutation accumulation at the normal tissue or cell stage which could be intertwined with the changes in open chromatin marks and enhancer sites. These results further represent chromatin marks shaping the somatic mutation landscape at the early stage of mutation accumulation, possibly even before the initiation of precancerous lesions or neoplasia.
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- 2022
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10. Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors
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Viktor A. Adalsteinsson, Gavin Ha, Samuel S. Freeman, Atish D. Choudhury, Daniel G. Stover, Heather A. Parsons, Gregory Gydush, Sarah C. Reed, Denisse Rotem, Justin Rhoades, Denis Loginov, Dimitri Livitz, Daniel Rosebrock, Ignaty Leshchiner, Jaegil Kim, Chip Stewart, Mara Rosenberg, Joshua M. Francis, Cheng-Zhong Zhang, Ofir Cohen, Coyin Oh, Huiming Ding, Paz Polak, Max Lloyd, Sairah Mahmud, Karla Helvie, Margaret S. Merrill, Rebecca A. Santiago, Edward P. O’Connor, Seong H. Jeong, Rachel Leeson, Rachel M. Barry, Joseph F. Kramkowski, Zhenwei Zhang, Laura Polacek, Jens G. Lohr, Molly Schleicher, Emily Lipscomb, Andrea Saltzman, Nelly M. Oliver, Lori Marini, Adrienne G. Waks, Lauren C. Harshman, Sara M. Tolaney, Eliezer M. Van Allen, Eric P. Winer, Nancy U. Lin, Mari Nakabayashi, Mary-Ellen Taplin, Cory M. Johannessen, Levi A. Garraway, Todd R. Golub, Jesse S. Boehm, Nikhil Wagle, Gad Getz, J. Christopher Love, and Matthew Meyerson
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Science - Abstract
Identifying the mutational landscape of tumours from cell-free DNA in the blood could help diagnostics in cancer. Here, the authors present ichorCNA, software that quantifies tumour content in cell free DNA, and they demonstrate that cell-free DNA whole-exome sequencing is concordant with metastatic tumour whole-exome sequencing.
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- 2017
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11. Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer
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Kyungsik Ha, Masashi Fujita, Rosa Karlić, Sungmin Yang, Ruidong Xue, Chong Zhang, Fan Bai, Ning Zhang, Yujin Hoshida, Paz Polak, Hidewaki Nakagawa, Hong-Gee Kim, and Hwajin Lee
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Systems biology ,Biocomputational method ,Gene mutation ,Genomics ,Cancer research ,Bioinformatics-based prediction of cell-of-origin ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Primary liver tissue cancer types are renowned to display a consistent increase in global disease burden and mortality, thus needing more effective diagnostics and treatments. Yet, integrative research efforts to identify cell-of-origin for these cancers by utilizing human specimen data were poorly established. To this end, we analyzed previously published whole-genome sequencing data for 384 tumor and progenitor tissues along with 423 publicly available normal tissue epigenomic features and single cell RNA-seq data from human livers to assess correlation patterns and extended this information to conduct in-silico prediction of the cell-of-origin for primary liver cancer subtypes. Despite mixed histological features, the cell-of-origin for mixed hepatocellular carcinoma/intrahepatic cholangiocarcinoma subtype was predominantly predicted to be hepatocytic origin. Individual sample-level predictions also revealed hepatocytes as one of the major predicted cell-of-origin for intrahepatic cholangiocarcinoma, thus implying trans-differentiation process during cancer progression. Additional analyses on the whole genome sequencing data of hepatic progenitor cells suggest these cells may not be a direct cell-of-origin for liver cancers. These results provide novel insights on the nature and potential contributors of cell-of-origins for primary liver cancers.
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- 2020
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12. APOBEC-Induced Cancer Mutations Are Uniquely Enriched in Early-Replicating, Gene-Dense, and Active Chromatin Regions
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Marat D. Kazanov, Steven A. Roberts, Paz Polak, John Stamatoyannopoulos, Leszek J. Klimczak, Dmitry A. Gordenin, and Shamil R. Sunyaev
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Biology (General) ,QH301-705.5 - Abstract
An antiviral component of the human innate immune system—the APOBEC cytidine deaminases—was recently identified as a prominent source of mutations in cancers. Here, we investigated the distribution of APOBEC-induced mutations across the genomes of 119 breast and 24 lung cancer samples. While the rate of most mutations is known to be elevated in late-replicating regions that are characterized by reduced chromatin accessibility and low gene density, we observed a marked enrichment of APOBEC mutations in early-replicating regions. This unusual mutagenesis profile may be associated with a higher propensity to form single-strand DNA substrates for APOBEC enzymes in early-replicating regions and should be accounted for in statistical analyses of cancer genome mutation catalogs aimed at understanding the mechanisms of carcinogenesis as well as highlighting genes that are significantly mutated in cancer.
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- 2015
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13. Whole-exome Sequencing of Nigerian Prostate Tumors from the Prostate Cancer Transatlantic Consortium (CaPTC) Reveals DNA Repair Genes Associated with African Ancestry
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Jason A. White, Ernest T. Kaninjing, Kayode A. Adeniji, Paul Jibrin, John O. Obafunwa, Chidiebere N. Ogo, Faruk Mohammed, Ademola Popoola, Omolara A. Fatiregun, Olabode P. Oluwole, Balasubramanyam Karanam, Isra Elhussin, Stefan Ambs, Wei Tang, Melissa Davis, Paz Polak, Moray J. Campbell, Kathryn R. Brignole, Solomon O. Rotimi, Windy Dean-Colomb, Folake T. Odedina, Damali N. Martin, and Clayton Yates
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In this study, we used whole-exome sequencing of a cohort of 45 advanced-stage, treatment-naïve Nigerian (NG) primary prostate cancer tumors and 11 unmatched nontumor tissues to compare genomic mutations with African American (AA) and European American (EA) The Cancer Genome Atlas (TCGA) prostate cancer. NG samples were collected from six sites in central and southwest Nigeria. After whole-exome sequencing, samples were processed using GATK best practices. BRCA1 (100%), BARD1 (45%), BRCA2 (27%), and PMS2(18%) had germline alterations in at least two NG nontumor samples. Across 111 germline variants, the AA cohort reflected a pattern [BRCA1 (68%), BARD1 (34%), BRCA2 (28%), and PMS2 (16%)] similar to NG samples. Of the most frequently mutated genes, BRCA1 showed a statistically (P ≤ 0.05) higher germline mutation frequency in men of African ancestry (MAA) and increasing variant frequency with increased African ancestry. Disaggregating gene-level mutation frequencies by variants revealed both ancestry-linked and NG-specific germline variant patterns. Driven by rs799917 (T>C), BRCA1 showed an increasing mutation frequency as African ancestry increased. BRCA2_rs11571831 was present only in MAA, and BRCA2_rs766173 was elevated in NG men. A total of 133 somatic variants were present in 26 prostate cancer–associated genes within the NG tumor cohort. BRCA2 (27%), APC (20%), ATM (20%), BRCA1 (13%), DNAJC6 (13%), EGFR (13%), MAD1L1 (13%), MLH1 (11%), and PMS2 (11%) showed mutation frequencies >10%. Compared with TCGA cohorts, NG tumors showed statistically significant elevated frequencies of BRCA2, APC, and BRCA1. The NG cohort variant pattern shared similarities (cosign similarities ≥0.734) with Catalogue of Somatic Mutations in Cancer signatures 5 and 6, and mutated genes showed significant (q < 0.001) gene ontology (GO) and functional enrichment in mismatch repair and non-homologous repair deficiency pathways. Here, we showed that mutations in DNA damage response genes were higher in NG prostate cancer samples and that a portion of those mutations correlate with African ancestry. Moreover, we identified variants of unknown significance that may contribute to population-specific routes of tumorigenesis and treatment. These results present the most comprehensive characterization of the NG prostate cancer exome to date and highlight the need to increase diversity of study populations. Significance: MAA have higher rates of prostate cancer incidence and mortality, however, are severely underrepresented in genomic studies. This is the first study utilizing whole-exome sequencing in NG men to identify West African ancestry-linked variant patterns that impact DNA damage repair pathways.
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- 2022
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14. Data from Whole-exome Sequencing of Nigerian Prostate Tumors from the Prostate Cancer Transatlantic Consortium (CaPTC) Reveals DNA Repair Genes Associated with African Ancestry
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Clayton Yates, Damali N. Martin, Folake T. Odedina, Windy Dean-Colomb, Solomon O. Rotimi, Kathryn R. Brignole, Moray J. Campbell, Paz Polak, Melissa Davis, Wei Tang, Stefan Ambs, Isra Elhussin, Balasubramanyam Karanam, Olabode P. Oluwole, Omolara A. Fatiregun, Ademola Popoola, Faruk Mohammed, Chidiebere N. Ogo, John O. Obafunwa, Paul Jibrin, Kayode A. Adeniji, Ernest T. Kaninjing, and Jason A. White
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In this study, we used whole-exome sequencing of a cohort of 45 advanced-stage, treatment-naïve Nigerian (NG) primary prostate cancer tumors and 11 unmatched nontumor tissues to compare genomic mutations with African American (AA) and European American (EA) The Cancer Genome Atlas (TCGA) prostate cancer. NG samples were collected from six sites in central and southwest Nigeria. After whole-exome sequencing, samples were processed using GATK best practices. BRCA1 (100%), BARD1 (45%), BRCA2 (27%), and PMS2(18%) had germline alterations in at least two NG nontumor samples. Across 111 germline variants, the AA cohort reflected a pattern [BRCA1 (68%), BARD1 (34%), BRCA2 (28%), and PMS2 (16%)] similar to NG samples. Of the most frequently mutated genes, BRCA1 showed a statistically (P ≤ 0.05) higher germline mutation frequency in men of African ancestry (MAA) and increasing variant frequency with increased African ancestry. Disaggregating gene-level mutation frequencies by variants revealed both ancestry-linked and NG-specific germline variant patterns. Driven by rs799917 (T>C), BRCA1 showed an increasing mutation frequency as African ancestry increased. BRCA2_rs11571831 was present only in MAA, and BRCA2_rs766173 was elevated in NG men. A total of 133 somatic variants were present in 26 prostate cancer–associated genes within the NG tumor cohort. BRCA2 (27%), APC (20%), ATM (20%), BRCA1 (13%), DNAJC6 (13%), EGFR (13%), MAD1L1 (13%), MLH1 (11%), and PMS2 (11%) showed mutation frequencies >10%. Compared with TCGA cohorts, NG tumors showed statistically significant elevated frequencies of BRCA2, APC, and BRCA1. The NG cohort variant pattern shared similarities (cosign similarities ≥0.734) with Catalogue of Somatic Mutations in Cancer signatures 5 and 6, and mutated genes showed significant (q < 0.001) gene ontology (GO) and functional enrichment in mismatch repair and non-homologous repair deficiency pathways. Here, we showed that mutations in DNA damage response genes were higher in NG prostate cancer samples and that a portion of those mutations correlate with African ancestry. Moreover, we identified variants of unknown significance that may contribute to population-specific routes of tumorigenesis and treatment. These results present the most comprehensive characterization of the NG prostate cancer exome to date and highlight the need to increase diversity of study populations.Significance:MAA have higher rates of prostate cancer incidence and mortality, however, are severely underrepresented in genomic studies. This is the first study utilizing whole-exome sequencing in NG men to identify West African ancestry-linked variant patterns that impact DNA damage repair pathways.
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- 2023
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15. Supplementary Tables 1-10 from Whole-exome Sequencing of Nigerian Prostate Tumors from the Prostate Cancer Transatlantic Consortium (CaPTC) Reveals DNA Repair Genes Associated with African Ancestry
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Clayton Yates, Damali N. Martin, Folake T. Odedina, Windy Dean-Colomb, Solomon O. Rotimi, Kathryn R. Brignole, Moray J. Campbell, Paz Polak, Melissa Davis, Wei Tang, Stefan Ambs, Isra Elhussin, Balasubramanyam Karanam, Olabode P. Oluwole, Omolara A. Fatiregun, Ademola Popoola, Faruk Mohammed, Chidiebere N. Ogo, John O. Obafunwa, Paul Jibrin, Kayode A. Adeniji, Ernest T. Kaninjing, and Jason A. White
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Supplementary Table 1. Known Germline Variants. Supplementary Table 2. Germline Variants. Supplementary Table 3. Known Somatic Variants. Supplementary Table 4. Somatic Vars in NG Normal. Supplementary Table 5. NG WES QC Metrics. Supplementary Table 6. NG Cohort Description. Supplementary Table 7. TCGA Cohort Description. Supplementary Table 8. AA Germ Var Frequency. Supplementary Table 9. Somatic Variants. Supplementary Table 10. NG Somatic ClueGo Results.
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- 2023
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16. Supplementary Figures 1-10 from Whole-exome Sequencing of Nigerian Prostate Tumors from the Prostate Cancer Transatlantic Consortium (CaPTC) Reveals DNA Repair Genes Associated with African Ancestry
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Clayton Yates, Damali N. Martin, Folake T. Odedina, Windy Dean-Colomb, Solomon O. Rotimi, Kathryn R. Brignole, Moray J. Campbell, Paz Polak, Melissa Davis, Wei Tang, Stefan Ambs, Isra Elhussin, Balasubramanyam Karanam, Olabode P. Oluwole, Omolara A. Fatiregun, Ademola Popoola, Faruk Mohammed, Chidiebere N. Ogo, John O. Obafunwa, Paul Jibrin, Kayode A. Adeniji, Ernest T. Kaninjing, and Jason A. White
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Supplementary Figure 1. WES Analysis Workflow. Supplementary Figure 2. Variant Strand Bias. Supplementary Figure 3. Somatic Variant Filtering. Supplementary Figure 4. Manual Somatic Variant Inspection. Supplementary Figure 5. Genetic Admixture Analysis. Supplementary Figure 6. Comparison of somatic variant count based on normal sample usage. Supplementary Figure 7. TCGA EA Somatic Variant Lollipop Plots. Supplementary Figure 8. NG PCa Novel Somatic Variants. Supplementary Figure 9. Nigerian Germline Variant – Normal/Tumor Comparison Lollipop Plots. Supplementary Figure 10. TCGA PCa Somatic Variant COSMIC Signature Analysis.
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- 2023
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17. Supplementary Figure 8 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Supplementary Figure 8 shows the principal component analysis followed by k-means clustering to group xenografts based on their sensitivity to cisplatin, talazoparib and cisplatin-talazoparib
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- 2023
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18. Data from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Purpose:Pancreatic ductal adenocarcinoma (PDAC) arising in patients with a germline BRCA1 or BRCA2 (gBRCA) mutation may be sensitive to platinum and PARP inhibitors (PARPi). However, treatment stratification based on gBRCA mutational status alone is associated with heterogeneous responses.Experimental Design:We performed a seven-arm preclinical trial consisting of 471 mice, representing 12 unique PDAC patient-derived xenografts, of which nine were gBRCA mutated. From 179 patients whose PDAC was whole-genome and transcriptome sequenced, we identified 21 cases with homologous recombination deficiency (HRD), and investigated prognostic biomarkers.Results:We found that biallelic inactivation of BRCA1/BRCA2 is associated with genomic hallmarks of HRD and required for cisplatin and talazoparib (PARPi) sensitivity. However, HRD genomic hallmarks persisted in xenografts despite the emergence of therapy resistance, indicating the presence of a genomic scar. We identified tumor polyploidy and a low Ki67 index as predictors of poor cisplatin and talazoparib response. In patients with HRD PDAC, tumor polyploidy and a basal-like transcriptomic subtype were independent predictors of shorter survival. To facilitate clinical assignment of transcriptomic subtype, we developed a novel pragmatic two-marker assay (GATA6:KRT17).Conclusions:In summary, we propose a predictive and prognostic model of gBRCA-mutated PDAC on the basis of HRD genomic hallmarks, Ki67 index, tumor ploidy, and transcriptomic subtype.
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- 2023
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19. Figure S1 from Genomic Profiling of Prostate Cancers from Men with African and European Ancestry
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Franklin W. Huang, Joshua D. Campbell, Garrett M. Frampton, Matthew Meyerson, Elad Ziv, Sarki A. Abdulkadir, Paz Polak, Daphnee Piou, Jian Carrot-Zhang, Eejung Kim, Justin Newberg, Zachary R. Chalmers, Hanbing Song, and Yusuke Koga
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Associations of recurrent deletion events of selected genes with Gleason score and race in TCGA and AAPC cohorts. Left: Amplification frequencies were associated with race and Gleason score while controlling for age using samples from TCGA and AAPC cohorts with genome-wide copy number ratio data (AFR: 157, EUR: 392). A purple dot indicates statistically significant association with race (FDR < 0.05). The solid black line represents a 1:1 relationship between AFR and EUR patients. Genes that did not have a significant association (FDR >= 0.05) with race are indicated by an open dot. Right: Deletion frequencies for PTEN, ZFHX3, and ETV3 are shown in AFR and EUR men.
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- 2023
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20. Supplementary Figure 1 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Supplementary Figure 1 shows the results of the Disambiguate algorithm used to assign the PDAC xenograft RNAseq reads to individual species
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- 2023
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21. Data from Genomic Profiling of Prostate Cancers from Men with African and European Ancestry
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Franklin W. Huang, Joshua D. Campbell, Garrett M. Frampton, Matthew Meyerson, Elad Ziv, Sarki A. Abdulkadir, Paz Polak, Daphnee Piou, Jian Carrot-Zhang, Eejung Kim, Justin Newberg, Zachary R. Chalmers, Hanbing Song, and Yusuke Koga
- Abstract
Purpose:African American (AFR) men have the highest mortality rate from prostate cancer (PCa) compared with men of other racial/ancestral groups. Differences in the spectrum of somatic genome alterations in tumors between AFR men and other populations have not been well-characterized due to a lack of inclusion of significant numbers in genomic studies.Experimental Design:To identify genomic alterations associated with race, we compared the frequencies of somatic alterations in PCa obtained from four publicly available datasets comprising 250 AFR and 611 European American (EUR) men and a targeted sequencing dataset from a commercial platform of 436 AFR and 3018 EUR men.Results:Mutations in ZFHX3 as well as focal deletions in ETV3 were more frequent in tumors from AFR men. TP53 mutations were associated with increasing Gleason score. MYC amplifications were more frequent in tumors from AFR men with metastatic PCa, whereas deletions in PTEN and rearrangements in TMPRSS2-ERG were less frequent in tumors from AFR men. KMT2D truncations and CCND1 amplifications were more frequent in primary PCa from AFR men. Genomic features that could impact clinical decision making were not significantly different between the two groups including tumor mutation burden, MSI status, and genomic alterations in select DNA repair genes, CDK12, and in AR.Conclusions:Although we identified some novel differences in AFR men compared with other populations, the frequencies of genomic alterations in current therapeutic targets for PCa were similar between AFR and EUR men, suggesting that existing precision medicine approaches could be equally beneficial if applied equitably.
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- 2023
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22. Supplementary Figure 9 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Supplementary Figure 9 shows the Cox proportional hazards model, integrating Moffitt transcriptomic subtype, tumour ploidy, stage and age
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- 2023
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23. Supplementary Figures from Genomic Profiling of Prostate Cancers from Men with African and European Ancestry
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Franklin W. Huang, Joshua D. Campbell, Garrett M. Frampton, Matthew Meyerson, Elad Ziv, Sarki A. Abdulkadir, Paz Polak, Daphnee Piou, Jian Carrot-Zhang, Eejung Kim, Justin Newberg, Zachary R. Chalmers, Hanbing Song, and Yusuke Koga
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All supplementary figures
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- 2023
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24. Supplementary Figure 7 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
- Abstract
Supplementary Figure 7 shows the comparison of COSMIC SBS mutational signatures between untreated parent xenografts vs. xenografts treated with gemcitabine-cisplatin
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- 2023
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25. Supplementary Tables 1-22 from Genomic Profiling of Prostate Cancers from Men with African and European Ancestry
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Franklin W. Huang, Joshua D. Campbell, Garrett M. Frampton, Matthew Meyerson, Elad Ziv, Sarki A. Abdulkadir, Paz Polak, Daphnee Piou, Jian Carrot-Zhang, Eejung Kim, Justin Newberg, Zachary R. Chalmers, Hanbing Song, and Yusuke Koga
- Abstract
All supplementary tables
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- 2023
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26. Supplementary Figure 5 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Supplementary Figure 5 shows the immunohistochemical analysis of apoptotic activity in xenografts treated with gemcitabine mono- and combination therapies
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- 2023
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27. Supplementary Figure 3 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Supplementary Figure 3 shows the histological analysis of the xenografts evaluated in the preclinical trial
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- 2023
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28. Supplementary Figure 6 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Supplementary Figure 6 shows the tumour ploidy analysis of xenografts evaluated in the preclinical trial that were not whole genome sequenced
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- 2023
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29. Supplementary Figure 2 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Supplementary Figure 2 shows the results of a pilot monotherapy trial to evaluate regimen-related toxicity
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- 2023
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30. Supplementary Table 3 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Supplementary Table 3 shows the establishment of primary cell cultures from HRD PDAC xenografts
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- 2023
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31. Supplementary Table 1 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Supplementary Table 1 shows the clinical characteristics of the patients from whom patient-derived xenografts were generated and evaluated in the preclinical trial
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- 2023
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32. Supplementary Table 2 from A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer, Grainne M. O'Kane, Talia Golan, William D. Foulkes, Paz Polak, Celia M.T. Greenwood, James Biagi, David Valenti, Louis-Martin Boucher, Tatiana Cabrera, Nathaniel Bouganim, Jamil Asselah, Yasser Riazalhosseini, Zu-Hua Gao, Julie M. Wilson, John M.S. Bartlett, Ilinca M. Lungu, Mehdi Masoomian, Simeng Bu, Chani Stossel, Spring Holter, Ayelet Borgida, Robert C. Grant, Maria Raitses-Gurevich, Jean Monlong, Celine Domecq, Adeline Cuggia, Amy Zhang, Gun Ho Jang, Robert E. Denroche, Alain Pacis, Jin Yong Patrick Park, and Yifan Wang
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Supplementary Table 2 shows the clinical characteristics of 21 HRD PDAC patients whose tumours were whole genome and whole transcriptome sequenced
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- 2023
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33. Integrative analysis of 111 reference human epigenomes Open.
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Roadmap Epigenomics Consortium, Anshul Kundaje, Wouter Meuleman, Jason Ernst, Misha Bilenky, Angela Yen, Alireza Heravi Moussavi, Pouya Kheradpour, ZhiZhuo Zhang, Jianrong Wang, Michael J. Ziller, Viren Amin, John W. Whitaker, Matthew D. Schultz, Lucas D. Ward, Abhishek Sarkar, Gerald T. Quon, Richard S. Sandstrom, Matthew L. Eaton, Yi-Chieh Wu, Andreas R. Pfenning, Xinchen Wang, Melina Claussnitzer, Yaping Liu, Cristian Coarfa, R. Alan Harris, Noam Shoresh, Charles B. Epstein, Elizabeta Gjoneska, Danny Leung, Wei Xie, R. David Hawkins, Ryan Lister, Chibo Hong, Philippe Gascard, Andrew J. Mungall, Richard A. Moore, Eric Chuah, Angela Tam, Theresa K. Canfield, R. Scott Hansen, Rajinder Kaul, Peter J. Sabo, Mukul S. Bansal, Annaick Carles, Jesse R. Dixon, Kyle Kai-How Farh, Soheil Feizi, Rosa Karlic, Ah-Ram Kim, Ashwinikumar Kulkarni, Daofeng Li, Rebecca F. Lowdon, GiNell Elliott, Tim R. Mercer, Shane J. Neph, Vitor Onuchic, Paz Polak, Nisha Rajagopal, Pradipta Ray, Richard C. Sallari, Kyle T. Siebenthall, Nicholas A. Sinnott-Armstrong, Michael Stevens, Robert E. Thurman, Jie Wu, Bo Zhang 0009, Xin Zhou, Arthur E. Beaudet, Laurie A. Boyer, Philip L. De Jager, Peggy J. Farnham, Susan J. Fisher, David Haussler, Steven J. M. Jones, Wei Li, Marco A. Marra, Michael T. McManus, Shamil R. Sunyaev, James A. Thomson, Thea D. Tlsty, Li-Huei Tsai, Wei Wang 0051, Robert A. Waterland, Michael Q. Zhang, Lisa H. Chadwick, Bradley E. Bernstein, Joseph F. Costello, Joseph R. Ecker, Martin Hirst, Alexander Meissner, Aleksandar Milosavljevic, Bing Ren, John A. Stamatoyannopoulos, Ting Wang, and Manolis Kellis
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- 2015
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34. Long-term tumour dormancy in aBRCA1heterozygote
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Setor Amuzu, Lili Fu, Nadine Demko, Barbara Rivera, Celine Domecq, Leanne de Kock, Nancy Hamel, Lucy Gilbert, Paz Polak, Jiannis Ragoussis, and William D Foulkes
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Genetics ,Genetics (clinical) - Published
- 2022
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35. Gemcitabine plus nab‐paclitaxel versus FOLFIRINOX for unresected pancreatic cancer: Comparative effectiveness and evaluation of tumor growth in Veterans
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Thierry Conroy, Carlie S. Sigel, Celine Yeh, Mark Ychou, Juan P. Wisnivesky, Keith Sigel, Yeun-Hee Anna Park, Tinaye Mutetwa, Girish N. Nadkarni, Paz Polak, Beata Juzyna, Tito Fojo, Mengxi Zhou, and Susan E. Bates
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0301 basic medicine ,Oncology ,medicine.medical_specialty ,Paclitaxel ,FOLFIRINOX ,Leucovorin ,Adenocarcinoma ,Irinotecan ,Deoxycytidine ,Article ,03 medical and health sciences ,0302 clinical medicine ,Unresected ,Albumins ,Internal medicine ,Pancreatic cancer ,Antineoplastic Combined Chemotherapy Protocols ,medicine ,Humans ,Veterans ,business.industry ,Hazard ratio ,Hematology ,medicine.disease ,Gemcitabine ,Confidence interval ,Oxaliplatin ,Pancreatic Neoplasms ,030104 developmental biology ,030220 oncology & carcinogenesis ,Biomarker (medicine) ,Fluorouracil ,business ,medicine.drug - Abstract
Purpose: Advanced, unresectable pancreatic cancer is often treated with either gemcitabine plus nab-paclitaxel (Gem/NabP) or FOLFIRINOX, although these regimens have never been compared in a head-to-head trial. In this study, we compared these two regimens using Veterans Administration (VA) data and evaluated the use of a novel tumor growth formula to predict outcomes. Methods: We identified 670 Veterans from national VA data with unresected stage II-IV pancreatic adenocarcinoma diagnosed between 2003 and 2016 who were treated with either first-line Gem/NabP or FOLFIRINOX. We compared overall survival (OS) and adverse events by treatment using propensity scores (PS) to account for allocation bias. Using longitudinal CA19-9 biomarker information we then fit the data to a novel tumor growth equation, comparing growth with OS. Results: We found no difference in PS-adjusted (hazard ratio [HR] 1.00; 95% confidence interval [95% CI] 0.84–1.20) or PS-matched (HR: 0.93; 95% CI: 0.76–1.13) OS between the two treatment groups. Tumor growth analysis revealed similar growth parameter values for Gem/NabP and FOLFIRINOX (P = .074 for difference). Conclusions: Gem/NabP appeared noninferior to FOLFIRINOX for survival outcomes for advanced pancreatic adenocarcinoma based on national VA data. Biomarker-based growth equations may be useful for monitoring treatment response and predicting prognosis for pancreatic cancer.
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- 2021
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36. A Preclinical Trial and Molecularly Annotated Patient Cohort Identify Predictive Biomarkers in Homologous Recombination–deficient Pancreatic Cancer
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Amy Zhang, Grainne M. O'Kane, Paz Polak, Celia M. T. Greenwood, James Joseph Biagi, Sandra Fischer, Julie M. Wilson, Louis-Martin Boucher, Gun Ho Jang, Zu-Hua Gao, Jennifer J. Knox, Yifan Wang, Yasser Riazalhosseini, Nathaniel Bouganim, Ayelet Borgida, David Valenti, Robert C. Grant, Steven Gallinger, Mehdi Masoomian, Robert E. Denroche, William D. Foulkes, John M. S. Bartlett, Chani Stossel, Maria Raitses-Gurevich, Alain Pacis, Ilinca Lungu, Talia Golan, Simeng Bu, Jean Monlong, T. Cabrera, George Zogopoulos, Celine Domecq, Spring Holter, Jin Yong Patrick Park, Jamil Asselah, and Adeline Cuggia
- Subjects
Male ,0301 basic medicine ,Cancer Research ,endocrine system diseases ,Poly(ADP-ribose) Polymerase Inhibitors ,medicine.disease_cause ,Germline ,Transcriptome ,Mice ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Pancreatic cancer ,Biomarkers, Tumor ,medicine ,Animals ,Humans ,Talazoparib ,Homologous Recombination ,BRCA2 Protein ,Cisplatin ,Mutation ,GATA6 ,BRCA1 Protein ,business.industry ,medicine.disease ,Pancreatic Neoplasms ,Disease Models, Animal ,030104 developmental biology ,Oncology ,chemistry ,030220 oncology & carcinogenesis ,Cancer research ,Heterografts ,Phthalazines ,Female ,Homologous recombination ,business ,medicine.drug - Abstract
Purpose:Pancreatic ductal adenocarcinoma (PDAC) arising in patients with a germline BRCA1 or BRCA2 (gBRCA) mutation may be sensitive to platinum and PARP inhibitors (PARPi). However, treatment stratification based on gBRCA mutational status alone is associated with heterogeneous responses.Experimental Design:We performed a seven-arm preclinical trial consisting of 471 mice, representing 12 unique PDAC patient-derived xenografts, of which nine were gBRCA mutated. From 179 patients whose PDAC was whole-genome and transcriptome sequenced, we identified 21 cases with homologous recombination deficiency (HRD), and investigated prognostic biomarkers.Results:We found that biallelic inactivation of BRCA1/BRCA2 is associated with genomic hallmarks of HRD and required for cisplatin and talazoparib (PARPi) sensitivity. However, HRD genomic hallmarks persisted in xenografts despite the emergence of therapy resistance, indicating the presence of a genomic scar. We identified tumor polyploidy and a low Ki67 index as predictors of poor cisplatin and talazoparib response. In patients with HRD PDAC, tumor polyploidy and a basal-like transcriptomic subtype were independent predictors of shorter survival. To facilitate clinical assignment of transcriptomic subtype, we developed a novel pragmatic two-marker assay (GATA6:KRT17).Conclusions:In summary, we propose a predictive and prognostic model of gBRCA-mutated PDAC on the basis of HRD genomic hallmarks, Ki67 index, tumor ploidy, and transcriptomic subtype.
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- 2020
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37. Genomic Profiling of Prostate Cancers from Men with African and European Ancestry
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Paz Polak, Eejung Kim, Hanbing Song, Garrett M. Frampton, Franklin W. Huang, Joshua D. Campbell, Zachary R. Chalmers, Sarki A. Abdulkadir, Elad Ziv, Daphnee Piou, Jian Carrot-Zhang, Justin Newberg, Matthew Meyerson, and Yusuke Koga
- Subjects
0301 basic medicine ,Oncology ,Cancer Research ,medicine.medical_specialty ,Genomic profiling ,medicine.disease_cause ,Genome ,03 medical and health sciences ,Prostate cancer ,0302 clinical medicine ,Prostate ,Internal medicine ,medicine ,PTEN ,Mutation ,biology ,business.industry ,Mortality rate ,medicine.disease ,Precision medicine ,030104 developmental biology ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,biology.protein ,business - Abstract
Purpose: African American (AFR) men have the highest mortality rate from prostate cancer (PCa) compared with men of other racial/ancestral groups. Differences in the spectrum of somatic genome alterations in tumors between AFR men and other populations have not been well-characterized due to a lack of inclusion of significant numbers in genomic studies. Experimental Design: To identify genomic alterations associated with race, we compared the frequencies of somatic alterations in PCa obtained from four publicly available datasets comprising 250 AFR and 611 European American (EUR) men and a targeted sequencing dataset from a commercial platform of 436 AFR and 3018 EUR men. Results: Mutations in ZFHX3 as well as focal deletions in ETV3 were more frequent in tumors from AFR men. TP53 mutations were associated with increasing Gleason score. MYC amplifications were more frequent in tumors from AFR men with metastatic PCa, whereas deletions in PTEN and rearrangements in TMPRSS2-ERG were less frequent in tumors from AFR men. KMT2D truncations and CCND1 amplifications were more frequent in primary PCa from AFR men. Genomic features that could impact clinical decision making were not significantly different between the two groups including tumor mutation burden, MSI status, and genomic alterations in select DNA repair genes, CDK12, and in AR. Conclusions: Although we identified some novel differences in AFR men compared with other populations, the frequencies of genomic alterations in current therapeutic targets for PCa were similar between AFR and EUR men, suggesting that existing precision medicine approaches could be equally beneficial if applied equitably.
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- 2020
- Full Text
- View/download PDF
38. Abstract 6689: Whole genome cell-free tumor DNA mutational signatures from blood for early detection of recurrence of low stage lung adenocarcinoma
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Ivy Tran, Alejandro Vargas, Reid Wilkins, Isabella Pizzillo, Kenneth Tokoro, Danielle Afterman, Tomer Lauterman, Maja Kuzman, Santiago Gonzalez, Dunja Glavas, James Smadbeck, Dillon Maloney, Jurica Levatic, Samuel Phillips, Sunil Deochand, Michael Yahalom, Ryan Ptashkin, Iman Tavassoly, Zohar Donenhirsh, Eric White, Ravi Kandasamy, Ury Alon, Paz Polak, Boris Oklander, Asaf Zviran, Matija Snuderl, and Harvey I. Pass
- Subjects
Cancer Research ,Oncology - Abstract
Introduction: Lung cancer remains the leading cause of cancer-related deaths. Surgery is the best option for early lung cancer, and the role of adjuvant therapy remains controversial. Liquid biopsy offers a noninvasive approach to monitor cancer burden. Targeted sequencing of circulating cell free tumor DNA (ctDNA) in blood has shown success for diagnosis; however, low tumor burden and dynamic evolution of low stage disease is challenging for targeted panels. Thus, we hypothesized that a whole genome sequencing (WGS)-derived patient specific mutational signature from a matched tumor-normal WGS can provide sensitive and specific approach to detect mutations and copy numbers in ctDNA for monitoring of lung adenocarcinoma patients. Methods: We successfully profiled 50 Stage 1 or 2 lung adenocarcinomas. ctDNA was extracted from 1-2 mL of plasma, tumor DNA was extracted from pathology tissue and normal germline DNA from the white blood cells. WGS using was performed on matched tumor and normal DNA, and ctDNA extracted from plasma. WGS coverage was 40x for matched tumor-normal and 20x for ctDNA. We derived a personalized mutational pattern for each tumor and used an AI-based error suppression model for quantification and ultra-sensitive detection of ctDNA in plasma samples. A patient-specific personalized genome-wide compendium of somatic mutations and copy numbers was established and ctDNA tested at 3 to 18 available time points during the therapy or follow up. A personalized mutational signature for detection ctDNA from WGS was quantified and the ctDNA Tumor Fraction (TF) was compared to the clinical status and time to recurrence. Results: Tumor specific signatures were derived from matched tumor-normal samples with >5% tumor purity and Conclusions: Patient-specific WGS tumor signature from plasma derived ctDNA enables specific and ultrasensitive tracking of minimal residual disease in low stage lung adenocarcinoma patients. Molecularly positive status can be used to predict recurrence and identify patients with clinical low stage disease that may benefit from adjuvant therapy. Citation Format: Ivy Tran, Alejandro Vargas, Reid Wilkins, Isabella Pizzillo, Kenneth Tokoro, Danielle Afterman, Tomer Lauterman, Maja Kuzman, Santiago Gonzalez, Dunja Glavas, James Smadbeck, Dillon Maloney, Jurica Levatic, Samuel Phillips, Sunil Deochand, Michael Yahalom, Ryan Ptashkin, Iman Tavassoly, Zohar Donenhirsh, Eric White, Ravi Kandasamy, Ury Alon, Paz Polak, Boris Oklander, Asaf Zviran, Matija Snuderl, Harvey I. Pass. Whole genome cell-free tumor DNA mutational signatures from blood for early detection of recurrence of low stage lung adenocarcinoma. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6689.
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- 2023
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39. Li-Fraumeni Syndrome in the Cancer Genomics Era
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William D. Foulkes and Paz Polak
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Oncology ,Cancer Research ,medicine.medical_specialty ,business.industry ,Editorials ,Cancer ,Genomics ,Articles ,Genes, p53 ,medicine.disease ,Li-Fraumeni Syndrome ,Li–Fraumeni syndrome ,Internal medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,Tumor Suppressor Protein p53 ,business ,Germ-Line Mutation - Abstract
BACKGROUND: Genetic testing for Li-Fraumeni syndrome (LFS) is performed by using blood specimens from patients selected based on phenotype-dependent guidelines. This approach is problematic for understanding the LFS clinical spectrum because patients with nonclassical presentations are missed, clonal hematopoiesis–related somatic blood alterations cannot be distinguished from germline variants, and unrelated tumors cannot be differentiated from those driven by germline TP53 defects. METHODS: To provide insights into the LFS-related cancer spectrum, we analyzed paired tumor-blood DNA sequencing results in 17 922 patients with cancer and distinguished clonal hematopoiesis–related, mosaic, and germline TP53 variants. Loss of heterozygosity and TP53 mutational status were assessed in tumors, followed by immunohistochemistry for p53 expression on a subset to identify those lacking biallelic TP53 inactivation. RESULTS: Pathogenic/likely pathogenic TP53 variants were identified in 50 patients, 12 (24.0%) of which were clonal hematopoiesis related and 4 (8.0%) of which were mosaic. Twelve (35.3%) of 34 patients with germline TP53 variants did not meet LFS testing criteria. Loss of heterozygosity of germline TP53 variant was observed in 96.0% (95% confidence interval [CI] = 79.7% to 99.9%) of core LFS spectrum–type tumors vs 45.5% (95% CI = 16.8% to 76.6%) of other tumors and 91.3% (95% CI = 72.0% to 98.9%) of tumors from patients who met LFS testing criteria vs 61.5% (95% CI = 31.6% to 86.1%) of tumors from patients who did not. Tumors retaining the wild-type TP53 allele exhibited wild-type p53 expression. CONCLUSIONS: Our results indicate that some TP53 variants identified in blood-only sequencing are not germline and a substantial proportion of patients with LFS are missed based on current testing guidelines. Additionally, a subset of tumors from patients with LFS do not have biallelic TP53 inactivation and may represent cancers unrelated to their germline TP53 defect.
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- 2021
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40. Whole Exome Sequencing of Nigerian Prostate Tumors from the Prostate Cancer Transatlantic Consortium (CaPTC) Reveals DNA Repair Genes Associated with African Ancestry
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Jason White, Ernest T Kaninjing, Kayode A Adeniji, Paul Jibrin, John O Obafunwa, Chidiebere N Ogo, Mohammed Faruk, Ademola Popoola, Omolara A Fatiregun, Olabode P Oluwole, Balasubramanyam Karanam, Isra Elhussin, Stefan Ambs, Wei Tang, Melissa Davis, Paz Polak, Moray J Campbell, Damian K Francis, Denise Y Gibbs, Kathryn R Brignole, Solomon Rotimi, Folake T Odedina, Damali N Martin, and Clayton Yates
- Abstract
In this study, we used whole-exome sequencing of a cohort of 45 advanced-stage, treatment-naïve Nigerian (NG) primary prostate cancer (PCa) tumors and 11 unmatched non-tumor tissues to compare genomic alterations with African American (AA) and European American (EA) TCGA PCa. NG samples were collected from 6 sites in central and southwest Nigeria. After whole-exome sequencing, samples were processed using GATK best practices. BRCA1 (100%), BARD1 (45%), BRCA2 (27%), and PMS2(18%) had germline alterations in at least two NG non-tumor samples. Across 111 germline variants, the AA cohort reflected a pattern [BRCA1 (68%), BARD1 (34%), BRCA2 (28%), and PMS2 (16%)] similar to NG samples. Of the most frequently mutated genes, BRCA1 showed a statistically (p ≤ 0.05) higher germline mutation frequency in men of African ancestry (MAA) and increasing variant frequency with increased African ancestry. Disaggregating gene level mutation frequencies by variants revealed both ancestry-linked and NG-specific germline variant patterns. Driven by rs799917 (T>C), BRCA1 showed an increasing mutation frequency as African admixture increased. BRCA2_rs11571831 was present only in MAAs, and BRCA2_rs766173 was elevated in NG men. 133 somatic variants were present in 26 PCa-associated genes within the NG tumor cohort. BRCA2 (27%), APC (20%), ATM (20%), BRCA1 (13%), DNAJC6 (13%), EGFR (13%), MAD1L1 (13%), MLH1 (11%), and PMS2 (11%) showed mutation frequencies > 10%. Compared to TCGA cohorts, NG tumors showed statistically significant elevated frequencies of BRCA2, APC, and BRCA1. The NG cohort variant pattern shared similarities (cosign similarities ≥ 0.734) with COSMIC signatures 5 and 6, and mutated genes showed significant (q < 0.001) GO and functional enrichment in mismatch repair and non-homologous repair deficiency pathways. Here, we showed that alterations in DNA damage response (DDR) genes were higher in NG PCa samples and that a portion of those alterations correlate with African ancestry. Moreover, we identified variants of unknown significance that may contribute to population-specific routes of tumorigenesis and treatment. These results present the most comprehensive characterization of the NG PCa exome to date and highlight the need to increase diversity of study populations.
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- 2022
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41. MULTIGENE PANEL TESTING FOR BREAST CANCER PREDISPOSITION IN BRAZILIAN PATIENTS
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Daniele Paixão, Giovana Tardin Torrezan, Karina Miranda Santiago, Maria Nirvana Formiga, Emmanuel Dias Neto, Israel Tojal da Silva, Paz Polak, and Dirce Maria Carraro
- Abstract
Objective: Only 5–10% of breast cancer (BC) is related to inherited genetic variants, and BRCA1 and BRCA2 mutations are responsible for the majority of cases. BRCA1 is more associated with triple-negative and BRCA2 to the luminal subtype. The contribution of other genes of high and moderate risk for BC, such as TP53, STK11, CDH1, PTEN, ATM, CHEK2, and PALB2, are not well defined, and risk estimates to specific BC subtype are lacking, especially for an admixed population like Brazilian. The aim of this study was to evaluate the contribution of the multigene panel in detecting germline mutations in Brazilian BC patients and their relationship with molecular subtypes and predominant ancestry. Methods: A 94-gene panel was performed on 321 patients with BC fulfilling NCCN criteria who were referred for BRCA1/2 testing between August 2016 and May 2018. Molecular subtypes were retrieved from medical records, and ancestry-specific variants were obtained from the sequencing data. Results: A panel analysis of 321 patients resulted in a total of 83 pathogenic/likely pathogenic (P/LP) variants identified in 81 patients, leading to a positivity rate of 25%. Of the total P/LP variants, 47% were identified in high-risk BC genes (BRCA1/2, PALB2, and TP53) and 17% in moderate-penetrance genes (ATM and CHEK2). The remainders of the variants were identified in low-risk genes and were considered unexpected findings. Variants of uncertain significance were identified in 77.6% of the patients. Regarding the molecular subtype, triple-negative BC had a mutation frequency of 32% (25/79), with predominance in BRCA1 (40%). Among the luminal subtype, 19% (29/155) had P/LP variants, with BRCA1/2 genes contributing to 38% of mutated cases. For the Luminal B HER2-positive subtype, 40% (16/40) had P/LP variants, with a predominance of the ATM gene (37%). Finally, the HER2-enriched subtype presented a mutation rate of 31% (4/13; 1 BRCA2 and 3 non-BRCA1/2). We did not detect any association of ancestry with P/LP variants or molecular subtypes. Conclusion: The multigene panel contributed to identify P/LP variants in other actionable genes besides BRCA1/2, increasing 7.2% of the positivity of the genetic test. Additionally, our results highlight the distinct contributions of BC genes in each molecular subtype. These results indicate that women with clinical criteria for hereditary BC may benefit from multigene panel testing as it allows them to identify P/LP variants in other BC susceptibility genes, including actionable genes, which directly impact the clinical management of these patients and family members.
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- 2022
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42. Cell-free DNA profiling informs all major complications of hematopoietic cell transplantation
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Alexandre Pellan Cheng, Matthew Pellan Cheng, Conor James Loy, Joan Sesing Lenz, Kaiwen Chen, Sami Smalling, Philip Burnham, Kaitlyn Marie Timblin, José Luis Orejas, Emily Silverman, Paz Polak, Francisco M. Marty, Jerome Ritz, and Iwijn De Vlaminck
- Subjects
Multidisciplinary ,Hematopoietic Stem Cell Transplantation ,Liquid Biopsy ,Graft vs Host Disease ,DNA Methylation ,DNA Fingerprinting ,surgical procedures, operative ,Postoperative Complications ,Organ Specificity ,Recurrence ,Disease Progression ,Humans ,Transplantation, Homologous ,Cell-Free Nucleic Acids ,Biomarkers - Abstract
Significance Hematopoietic cell transplantation is the gold standard treatment for many blood disorders, including blood cancers. Nonetheless, frequent post-transplant complications limit the long-term benefit of HCT. Here, we find that circulating cell-free DNA is a highly versatile analyte for monitoring of the most important complications of HCT: Graft-Versus-Host Disease, infection, graft failure and disease relapse. We show that these different therapeutic complications can be informed from a single cell-free DNA sequencing assay followed by disease-specific bioinformatic analyses. This test requires only low coverage DNA sequencing and is compatible with small volumes of blood. Cell-free DNA may improve the care of allogeneic HCT recipients by enabling earlier detection and better prediction of the complex array of complications that occur after HCT.
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- 2021
43. Companion Tumor Sequencing to Assess the Clinical Significance of Germline Sequencing in Children With Cancer
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Catherine Goudie, Tinaye Mutetwa, William D. Foulkes, and Paz Polak
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Oncology ,Adult ,Male ,medicine.medical_specialty ,Adolescent ,Childhood cancer ,Germline ,Young Adult ,Neoplastic Syndromes, Hereditary ,Internal medicine ,medicine ,Research Letter ,Biomarkers, Tumor ,Humans ,Clinical significance ,Genetic Predisposition to Disease ,Child ,Germ-Line Mutation ,Aged ,Aged, 80 and over ,business.industry ,Research ,Infant, Newborn ,Cancer ,Infant ,General Medicine ,Middle Aged ,medicine.disease ,Online Only ,Case-Control Studies ,Child, Preschool ,Female ,business - Abstract
This case-control study assesses the clinical significance of germline sequencing in children with cancer.
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- 2021
44. Long-term tumour dormancy in a
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Setor, Amuzu, Lili, Fu, Nadine, Demko, Barbara, Rivera, Celine, Domecq, Leanne, de Kock, Nancy, Hamel, Lucy, Gilbert, Paz, Polak, Jiannis, Ragoussis, and William D, Foulkes
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- 2021
45. Etiologic Index — A Case-Only Measure of BRCA1/2–Associated Cancer Risk
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Paz Polak, Clare Turnbull, Himanshu Joshi, Rosa Karlic, Raymond Hughley, and William D. Foulkes
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Oncology ,medicine.medical_specialty ,Index (economics) ,endocrine system diseases ,business.industry ,Brca1 protein ,Measure (physics) ,MEDLINE ,Tumor cells ,General Medicine ,030204 cardiovascular system & hematology ,Article ,female genital diseases and pregnancy complications ,3. Good health ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,cancer risk ,epidemiology ,030212 general & internal medicine ,skin and connective tissue diseases ,Cancer risk ,business ,neoplasms - Abstract
Description of the development of Etiologic Index of BRCA1 and BRCA2, a proposed etiologic index, based on genomic variation in tumor cells and matched normal cells, that can be used to evaluate the relevance of germline pathogenic variants (GPVs) in tumor-suppressor genes to the development of individual cancer types.
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- 2020
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46. Griffin: Framework for clinical cancer subtyping from nucleosome profiling of cell-free DNA
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C. Kikawa, Peter S. Nelson, Jonathan Reichel, Joseph B. Hiatt, Gavin Ha, M. Ko, Anna C. H. Hoge, Zachary Weber, K. Santos, H. Liao, K. Chen, Paz Polak, R. D. Patton, Heather A. Parsons, A. E. Cruikshank, David MacPherson, Anna-Lisa Doebley, N. De Sarkar, Viktor A. Adalsteinsson, M. Adil, and Daniel G. Stover
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Tumor Subtype ,Whole genome sequencing ,Cell-free fetal DNA ,business.industry ,Medicine ,Nucleosome ,Cancer ,Computational biology ,business ,medicine.disease ,Metastatic breast cancer ,Tumor heterogeneity ,Subtyping - Abstract
Cell-free DNA (cfDNA) has the potential to inform tumor subtype classification and help guide clinical precision oncology. Here we developed Griffin, a new method for profiling nucleosome protection and accessibility from cfDNA to study the phenotype of tumors using as low as 0.1x coverage whole genome sequencing (WGS) data. Griffin employs a novel GC correction procedure tailored to variable cfDNA fragment sizes, which improves the prediction of chromatin accessibility. Griffin achieved excellent performance for detecting tumor cfDNA in early-stage cancer patients (AUC=0.96). Next, we applied Griffin for the first demonstration of estrogen receptor (ER) subtyping in metastatic breast cancer from cfDNA. We analyzed 254 samples from 139 patients and predicted ER subtype with high performance (AUC=0.89), leading to insights about tumor heterogeneity. In summary, Griffin is a framework for accurate clinical subtyping and can be generalizable to other cancer types for precision oncology applications.
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- 2021
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47. A framework for clinical cancer subtyping from nucleosome profiling of cell-free DNA
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Anna-Lisa Doebley, Minjeong Ko, Hanna Liao, A. Eden Cruikshank, Katheryn Santos, Caroline Kikawa, Joseph B. Hiatt, Robert D. Patton, Navonil De Sarkar, Katharine A. Collier, Anna C. H. Hoge, Katharine Chen, Anat Zimmer, Zachary T. Weber, Mohamed Adil, Jonathan B. Reichel, Paz Polak, Viktor A. Adalsteinsson, Peter S. Nelson, David MacPherson, Heather A. Parsons, Daniel G. Stover, and Gavin Ha
- Subjects
Multidisciplinary ,Receptors, Estrogen ,Neoplasms ,General Physics and Astronomy ,Humans ,General Chemistry ,Precision Medicine ,Cell-Free Nucleic Acids ,General Biochemistry, Genetics and Molecular Biology ,Nucleosomes - Abstract
Cell-free DNA (cfDNA) has the potential to inform tumor subtype classification and help guide clinical precision oncology. Here we develop Griffin, a framework for profiling nucleosome protection and accessibility from cfDNA to study the phenotype of tumors using as low as 0.1x coverage whole genome sequencing data. Griffin employs a GC correction procedure tailored to variable cfDNA fragment sizes, which generates a better representation of chromatin accessibility and improves the accuracy of cancer detection and tumor subtype classification. We demonstrate estrogen receptor subtyping from cfDNA in metastatic breast cancer. We predict estrogen receptor subtype in 139 patients with at least 5% detectable circulating tumor DNA with an area under the receive operator characteristic curve (AUC) of 0.89 and validate performance in independent cohorts (AUC = 0.96). In summary, Griffin is a framework for accurate tumor subtyping and can be generalizable to other cancer types for precision oncology applications.
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- 2021
48. Current gene panels account for nearly all homologous recombination repair-associated multiple-case breast cancer families
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Anne-Marie Mes-Masson, Alexandre Orthwein, Zaki El Haffaf, Bouchra Labraki, Patricia N. Tonin, Manon de Ladurantaye, José Camacho Valenzuela, Adrienne Atayan, Nadia Zayed, Yuval Tabach, William D. Foulkes, Thibaut S Matis, Nancy Hamel, Paz Polak, Barbara Rivera, and Théophane A Matis
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Proband ,Genetics ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Biology ,medicine.disease ,Brief Communication ,Càncer de mama ,chemistry.chemical_compound ,Breast cancer ,Oncology ,chemistry ,Gene panel ,Genetics research ,medicine ,Malalties hereditàries ,Multiple case ,Pharmacology (medical) ,Radiology, Nuclear Medicine and imaging ,Homologous recombination ,Gene ,Genetic disorders ,DNA ,RC254-282 - Abstract
It was hypothesized that variants in underexplored homologous recombination repair (HR) genes could explain unsolved multiple-case breast cancer (BC) families. We investigated HR deficiency (HRD)-associated mutational signatures and second hits in tumor DNA from familial BC cases. No candidates genes were associated with HRD in 38 probands previously tested negative with gene panels. We conclude it is unlikely that unknown HRD-associated genes explain a large fraction of unsolved familial BC.
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- 2021
49. Hybrid stomach-intestinal chromatin states underlie human Barrett’s metaplasia
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Paloma Cejas, Pratik N.P. Singh, Hwajin Lee, Ramesh A. Shivdasani, Shariq Madha, Paz Polak, Kyungsik Ha, Jason L. Hornick, Kunal Jajoo, and Harshabad Singh
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0301 basic medicine ,Epigenomics ,Esophageal Mucosa ,Cell Plasticity ,DNA Mutational Analysis ,Biology ,Article ,03 medical and health sciences ,Barrett Esophagus ,Epigenome ,0302 clinical medicine ,Metaplasia ,medicine ,Humans ,Cell Lineage ,Genetic Predisposition to Disease ,Epigenetics ,Esophagus ,Hepatology ,Stem Cells ,Gastroenterology ,Intestinal metaplasia ,medicine.disease ,Chromatin Assembly and Disassembly ,Immunohistochemistry ,digestive system diseases ,Chromatin ,030104 developmental biology ,medicine.anatomical_structure ,Enhancer Elements, Genetic ,Phenotype ,Barrett's esophagus ,Mutation ,Cancer research ,Chromatin Immunoprecipitation Sequencing ,030211 gastroenterology & hepatology ,medicine.symptom ,Single-Cell Analysis ,Chromatin immunoprecipitation - Abstract
BACKGROUND & AIMS: Tissue metaplasia is uncommon in adults because established cis-element programs resist rewiring. In Barrett’s esophagus, the distal esophageal mucosa acquires predominantly intestinal character, with notable gastric features, and is predisposed to develop invasive cancers. We sought to understand the chromatin underpinnings of Barrett’s metaplasia and why it commonly displays simultaneous gastric and intestinal properties. METHODS: We profiled cis-regulatory elements with active histone modifications in primary human biopsy materials using chromatin immunoprecipitation followed by DNA sequencing (ChIP-seq). Mutations in Barrett’s esophagus were examined in relation to tissue-specific enhancer landscapes using a random-forest machine learning algorithm. We also profiled open chromatin at single-cell resolution in primary Barrett’s biopsy specimens using the assay for transposase-accessible chromatin (ATAC-seq). We used one- and two-color immunohistochemistry to examine protein expression of tissue-restricted genes. RESULTS: Barrett’s esophagus bears epigenome fingerprints of human stomach and intestinal columnar, but not esophageal squamous, epithelia. Mutational patterns were best explained as arising on the epigenome background of active gastric cis-elements, supporting the view that adjoining stomach epithelium is a likely tissue source. Individual cells in Barrett’s metaplasia co-express gastric and intestinal genes, reflecting concomitant chromatin access at enhancers ordinarily restricted to one or the other epithelium. Protein expression of stomach-specific mucins, CLDN18, and a novel gastric marker, ANXA10, revealed extensive tissue and sub-clonal heterogeneity of dual stomach-intestinal cell states. CONCLUSIONS: These findings reveal mixed and dynamic tissue-restricted chromatin states and phenotypic heterogeneity in Barrett’s esophagus. Pervasive intra-gland variation argues against stem-cell governance of this phenotype.
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- 2021
50. Genome-wide mutational signatures of immunological diversification in normal lymphocytes
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Francesco Maura, Michael Davies, Miriam Belmonte, Alex Cagan, Craig McDonald, Robert J. Osborne, Mairi Shepherd, Peter J. Campbell, Emily G. Mitchell, Daniel Leongamornlert, Andrew Green, K Kübler, Kourosh Saeb-Parsy, Elisa Laurenti, Heather E. Machado, Inigo Martincorena, David G. Kent, Mathijs A. Sanders, Gad Getz, Daniel J. Hodson, Nina F. Øbro, Krishnaa T. Mahbubani, and Paz Polak
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Structural variation ,Genetics ,Mutation ,Haematopoiesis ,medicine.anatomical_structure ,Point mutation ,Lymphocyte ,medicine ,Germinal center ,Stem cell ,Biology ,medicine.disease_cause ,Genome - Abstract
A lymphocyte suffers many threats to its genome, including programmed mutation during differentiation, antigen-driven proliferation and residency in diverse microenvironments. After developing protocols for single-cell lymphocyte expansions, we sequenced whole genomes from 717 normal naive and memory B and T lymphocytes and hematopoietic stem cells. Lymphocytes carried more point mutations and structural variation than stem cells, accruing at higher rates in T than B cells, attributable to both exogenous and endogenous mutational processes. Ultraviolet light exposure and other sporadic mutational processes generated hundreds to thousands of mutations in some memory lymphocytes. Memory B cells acquired, on average, 18 off-target mutations genome-wide for every one on-target IGV mutation during the germinal center reaction. Structural variation was 16-fold higher in lymphocytes than stem cells, with ~15% of deletions being attributable to off-target RAG activity.One Sentence Summary:The mutational landscape of normal lymphocytes chronicles the off-target effects of programmed genome engineering during immunological diversification and the consequences of differentiation, proliferation and residency in diverse microenvironments.
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- 2021
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