As the deadliest form of skin cancer, advanced-stage melanoma is a devastating disease. Encouragingly, with the introduction of immunotherapy, the overall survival of metastatic melanoma has improved drastically. However, access to novel immunotherapeutic drugs is not universal for all patients. Herein, we examined the association between various sociodemographic factors and the likelihood of using immunotherapy for melanoma treatment. This is a retrospective cohort study using the Texas Cancer Registry data for the years 2011-2018. Multivariable regression analysis was done to evaluate the association between patient characteristics and likelihood of receipt of immunotherapy. The association between sociodemographic factors and likelihood of presentation with metastasis at diagnosis was also examined. Having metastasis at diagnosis was strongly associated with higher odds of receiving immunotherapy (penalized adjusted OR 28.690, 95% CI 23.470-34.350, p < .0001). Compared to having private insurance, patients were less likely to receive immunotherapy if they were uninsured, had Medicare, or had missing/unknown insurance status (penalized adjusted OR's 0.700, 0.790, 0.130, p = .026, 0.027, and p < .0001 respectively). Results from our multivariate model highlighted several factors associated with a higher likelihood of presenting with metastatic disease which included Hispanic ethnicity and black race. Dermatologic disparities affecting the Hispanic population underscore the importance of targeted interventions to overcome community level barriers to melanoma treatment and diagnosis. This study highlights the need to further evaluate different insurance types and their effect on receipt of immunotherapy.
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http://dx.doi.org/10.1007/s10903-023-01536-8 | DOI Listing |
Gut
December 2024
Biotech Research and Innovation Center (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Background And Objective: Ampullary carcinoma (AMPAC) taxonomy is based on morphology and immunohistochemistry. This classification lacks prognostic reliability and unique genetic associations. We applied an approach of integrative genomics characterising patients with AMPAC exploring molecular subtypes that may guide personalised treatments.
View Article and Find Full Text PDFJ Thorac Oncol
December 2024
Moores Cancer Center, University of California San Diego, La Jolla, CA 92037, USA; Department of Medicine, University of California San Diego, La Jolla, CA 92037, USA; Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Introduction: Copy-number (CN) loss of chromosome 9p, or parts thereof, impair immune response and confer ICT resistance by direct elimination of immune-regulatory genes on this arm, notably IFNγ genes at 9p24.1, and type-I interferon (IFN-I) genes at 9p21.3.
View Article and Find Full Text PDFCancer Lett
December 2024
Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China. Electronic address:
Although surgical resection of tumor mass remains the mainstay of curatively therapeutic management for solid tumors, accumulating studies suggest that these procedures promote tumor recurrence and metastasis. Regarded as the first immune cells to fight against infectious or inflammatory insults from surgery, neutrophils along with its ability of neutrophil extracellular traps (NETs) production has attracted much attention. A growing body of evidence suggests that NETs promote cancer metastasis by stimulating various stages, including local invasion, colonization, and growth.
View Article and Find Full Text PDFAm J Gastroenterol
August 2024
Baylor College of Medicine, Houston, Texas, USA.
Article Title: Machine Learning Models for Pancreatic Cancer Risk Prediction Using Electronic Health Record Data-A Systematic Review and Assessment.
View Article and Find Full Text PDFJ Comput Assist Tomogr
December 2024
From the Department of Diagnostic Radiology, Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX.
Objective: This study aimed to assess the effectiveness of a dual digital alert system and automatic radiologist reassignment in improving the efficiency of quantitative imaging report delivery for clinical trials.
Materials And Methods: Assessing tumor metrics is critical to oncologic disease management, informed treatment planning, and for monitoring therapeutic response and even more so in cancer clinical research trials. A collaborative effort with the Institutional Research Information Systems division led to developing a web-based system with a Java backend, tested using Agile methodology to improve patient care with improved turnaround time (TAT) of quantitative reports.
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