6 results on '"Kavita M Ghia"'
Search Results
2. Melanoma and CLL co-occurrence and survival: role of KC history
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Yayi Zhao, Rossybelle P. Amorrortu, Sandra C. Stewart, Kavita M. Ghia, Vonetta L. Williams, Vernon K. Sondak, Kenneth Y. Tsai, Javier Pinilla-Ibarz, Julio C. Chavez, and Dana E. Rollison
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Keratinocyte carcinoma ,Melanoma ,Chronic lymphocytic leukemia ,Survival ,Cancer diagnosis ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Survival following melanoma and chronic lymphocytic leukemia (CLL) have both been individually associated with previous history of non-melanoma skin cancers (specifically keratinocyte carcinomas [KC]). Furthermore, melanoma and CLL have been reported to occur within the same patients. The survival experience of patients with both cancers is understudied, and the role of history of KC is unknown. Additional research is needed to tease apart the independent associations between KC and CLL survival, KC and melanoma survival, and the co-occurrence of all three cancers. Methods A retrospective cohort study was conducted among patients who were diagnosed with melanoma and/or CLL at a comprehensive cancer center between 2008 and 2020. Multivariable Cox regression models were used to examine the association between history of KC and survival following melanoma and/or CLL with careful consideration of calendar year of diagnosis, treatment regimens and other risk factors. A nested case–control study comparing patients with both CLL and melanoma to those with only CLL or only melanoma was conducted to compare blood parameters across the three groups. Results A time-dependent association was observed between history of KC and favorable melanoma survival within 4 years following diagnosis and poorer survival post 7 years after melanoma diagnosis. History of KC was not significantly associated with survival following the diagnosis of CLL, after adjustment for clinical factors including historical/concurrent melanoma. Patients with co-occurring melanoma and CLL tended to be diagnosed with melanoma first and had elevated blood parameters including white blood cell and lymphocyte counts as compared with patients who were diagnosed with only melanoma. Conclusions History of KC was an independent predictor of survival following melanoma but not of CLL. Additional studies are needed to determine if blood parameters obtained at the time of melanoma diagnosis could be used as a cost-effective way to identify those at high risk of asymptomatic CLL for the promotion of earlier CLL diagnosis.
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- 2023
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3. Examining disparities in large‐scale patient‐reported data capture using digital tools among cancer patients at clinical intake
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Dana E. Rollison, Brian D. Gonzalez, Kea Turner, Heather S. L. Jim, Yayi Zhao, Rossybelle P. Amorrortu, Rachel Howard, Kavita M. Ghia, Bryan Ngo, Phillip Reisman, Colin Moore, Randa Perkins, Robert J. Keenan, David A. Sallman, Cristina M. Naso, Edmondo J. Robinson, Susan T. Vadaparampil, Vani N. Simmons, Matthew B. Schabath, and Scott M. Gilbert
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adults ,healthcare disparities ,neoplasms ,population groups ,surveys and questionnaires ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Patient‐reported data can improve quality of healthcare delivery and patient outcomes. Moffitt Cancer Center (“Moffitt”) administers the Electronic Patient Questionnaire (EPQ) to collect data on demographics, including sexual orientation and gender identity (SOGI), medical history, cancer risk factors, and quality of life. Here we investigated differences in EPQ completion by demographic and cancer characteristics. Methods An analysis including 146,142 new adult patients at Moffitt in 2009–2020 was conducted using scheduling, EPQ and cancer registry data. EPQ completion was described by calendar year and demographics. Logistic regression was used to estimate associations between demographic/cancer characteristics and EPQ completion. More recently collected information on SOGI were described. Results Patient portal usage (81%) and EPQ completion rates (79%) were consistently high since 2014. Among patients in the cancer registry, females were more likely to complete the EPQ than males (odds ratio [OR] = 1.17, 95% confidence interval [CI] = 1.14–1.20). Patients ages 18–64 years were more likely to complete the EPQ than patients aged ≥65. Lower EPQ completion rates were observed among Black or African American patients (OR = 0.59, 95% CI = 0.56–0.63) as compared to Whites and among patients whose preferred language was Spanish (OR = 0.40, 95% CI = 0.36–0.44) or another language as compared to English. Furthermore, patients with localized (OR = 1.16, 95% CI = 1.12–1.19) or regional (OR = 1.16, 95% CI = 1.12–1.20) cancer were more likely to complete the EPQ compared to those with metastatic disease. Less than 3% of patients self‐identified as being lesbian, gay, or bisexual and
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- 2023
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4. History of keratinocyte carcinoma and survival after a second primary malignancy: the Moffitt Cancer Center patient experience
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Rossybelle P. Amorrortu, Yayi Zhao, Sandra Stewart, Kavita M. Ghia, Vonetta L. Williams, Vernon K. Sondak, Kenneth Y. Tsai, Javier Pinilla, Julio Chavez, and Dana E. Rollison
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Cancer Research ,Oncology ,General Medicine - Published
- 2022
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5. Using Big Data in oncology to prospectively impact clinical patient care: A proof of concept study
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Julie A. Kish, Jongphil Kim, Martine Extermann, Vérène Dougoud-Chauvin, Cortlin Croft, Vonetta L. Williams, Kavita M. Ghia, Jae Jin Lee, Edgardo S. Santos, Marina Sehovic, Nicolò Matteo Luca Battisti, and Lodovico Balducci
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Big Data ,Male ,Oncology ,medicine.medical_specialty ,Big data ,Medical Oncology ,Proof of Concept Study ,Article ,03 medical and health sciences ,0302 clinical medicine ,Neoplasms ,Internal medicine ,Outcome Assessment, Health Care ,medicine ,Humans ,Prospective Studies ,030212 general & internal medicine ,Geriatric Assessment ,Aged ,Aged, 80 and over ,Electronic consultation ,business.industry ,Medical record ,Precision medicine ,Clinical trial ,Geriatric oncology ,030220 oncology & carcinogenesis ,Informatics ,Female ,Personalized medicine ,Geriatrics and Gerontology ,business - Abstract
Objective Big Data is widely seen as a major opportunity for progress in the practice of personalized medicine, attracting the attention from medical societies and presidential teams alike as it offers a unique opportunity to enlarge the base of evidence, especially for older patients underrepresented in clinical trials. This study prospectively assessed the real-time availability of clinical cases in the Health & Research Informatics Total Cancer Care™ (TCC) database matching community patients with cancer, and the impact of such a consultation on treatment. Materials and Methods Patients aged 70 and older seen at the Lynn Cancer Institute (LCI) with a documented malignancy were eligible. Geriatric screening information and the oncologist's pre-consultation treatment plan were sent to Moffitt. A search for similar patients was done in TCC and additional information retrieved from Electronic Medical Records. A report summarizing the data was sent and the utility of such a consultation was assessed per email after the treatment decision. Results Thirty one patients were included. The geriatric screening was positive in 87.1% (27) of them. The oncogeriatric consultation took on average 2.2 working days. It influenced treatment in 38.7% (12), and modified it in 19.4% (6). The consultation was perceived as “somewhat” to “very useful” in 83.9% (26). Conclusion This study establishes a proof of concept of the feasibility of real time use of Big Data for clinical practice. The geriatric screening and the consultation report influenced treatment in 38.7% of cases and modified it in 19.4%, which compares very well with oncogeriatric literature. Additional steps are needed to render it financially and clinically viable.
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- 2018
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6. A genome-wide investigation of microRNA expression identifies biologically-meaningful microRNAs that distinguish between high-risk and low-risk intraductal papillary mucinous neoplasms of the pancreas
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Agnieszka Kasprzak, Susan McCarthy, Gregory M. Springett, Laura S. Hall, Dung-Tsa Chen, Jason B. Klapman, Christina Georgeades, Barbara A. Centeno, Y. Ann Chen, Mokenge P. Malafa, Michelle Fournier, Xiaotao Qu, Jennifer Permuth-Wey, Timothy J. Yeatman, Kazim Husain, Kate Fisher, Sean J. Yoder, Domenico Coppola, Vonetta L. Williams, Kavita M. Ghia, Funmilayo Olaoye, and Mark C. Lloyd
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Surgical resection ,Male ,medicine.medical_specialty ,Pathology ,endocrine system diseases ,lcsh:Medicine ,Pilot Projects ,Genome ,Diagnosis, Differential ,microRNA ,medicine ,Humans ,Gene Regulatory Networks ,lcsh:Science ,Serum Albumin ,Aged ,Oligonucleotide Array Sequence Analysis ,Aged, 80 and over ,Multidisciplinary ,Clinical pathology ,business.industry ,Gene Expression Profiling ,lcsh:R ,Middle Aged ,medicine.disease ,Adenocarcinoma, Mucinous ,3. Good health ,Gene expression profiling ,Gene Expression Regulation, Neoplastic ,Pancreatic Neoplasms ,Adenocarcinoma, Papillary ,MicroRNAs ,medicine.anatomical_structure ,Dysplasia ,Female ,lcsh:Q ,Differential diagnosis ,Pancreas ,business ,Carcinoma, Pancreatic Ductal ,Research Article - Abstract
Background Intraductal papillary mucinous neoplasms (IPMNs) are pancreatic ductal adenocarcinoma (PDAC) precursors. Differentiating between high-risk IPMNs that warrant surgical resection and low-risk IPMNs that can be monitored is a significant clinical problem, and we sought to discover a panel of mi(cro)RNAs that accurately classify IPMN risk status. Methodology/Principal Findings In a discovery phase, genome-wide miRNA expression profiling was performed on 28 surgically-resected, pathologically-confirmed IPMNs (19 high-risk, 9 low-risk) using Taqman MicroRNA Arrays. A validation phase was performed in 21 independent IPMNs (13 high-risk, 8 low-risk). We also explored associations between miRNA expression level and various clinical and pathological factors and examined genes and pathways regulated by the identified miRNAs by integrating data from bioinformatic analyses and microarray analysis of miRNA gene targets. Six miRNAs (miR-100, miR-99b, miR-99a, miR-342-3p, miR-126, miR-130a) were down-regulated in high-risk versus low-risk IPMNs and distinguished between groups (P
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- 2015
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