Publications by authors named "Kavita Ghia"
Article Synopsis
- The study investigates the relationship between non-melanoma skin cancers (keratinocyte carcinomas) and survival rates in patients with melanoma and chronic lymphocytic leukemia (CLL), focusing on the co-occurrence of these cancers.
- Utilizing a retrospective cohort approach from 2008 to 2020, researchers analyzed patient data to examine the impact of keratinocyte carcinoma history on survival outcomes for both melanoma and CLL.
- Results indicated that a history of keratinocyte carcinoma was linked to better survival rates for the first four years after a melanoma diagnosis, but did not significantly affect CLL survival, highlighting the need for further research on blood parameters related to these conditions.
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.
View Article and Find Full Text PDFPurpose: History of keratinocyte carcinoma (KC) has been associated with survival following the diagnosis of a second primary malignancy (SPM), with the direction of the association varying by cancer type. Research is needed to elucidate the role of other key factors in this association.
Methods: A retrospective cohort study was conducted among patients newly diagnosed and/or treated at Moffitt Cancer Center in December 2008-April 2020 with breast cancer, lung cancer, melanoma, colon cancer, prostate cancer, and non-Hodgkin lymphoma/chronic lymphocytic leukemia (NHL/CLL) (n = 29,156).
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.
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.