Research Paper on The Next Frontier in Health Disparities: From Bench to Bedside and Back: A Closer Look at Exploring Sex Differences in Glioma Data and Omics Analysis

Description

Title: The Next Frontier in Health Disparities: From Bench to Bedside and Back: A Closer Look at Exploring Sex Differences in Glioma Data and Omics Analysis

Abstract: In oncology, gender differences are being investigated and reported more frequently, and glioma is no exception. Existing gender-derived disparities reflect data from retrospective and prospective trials, large-scale data sets from the real world, and bench work using animal and cell lines as potentially meaningful sex differences are discovered. Wide-ranging disparities in the data as a result could lead to both negative outcomes and a failure to recognize and take advantage of therapeutic benefits. In order to understand how women are represented in study samples and omics analyses, we set out to analyze the literature on women’s data disparities in glioma. We wanted to investigate whether sex bias still exists in contemporary data sets and how sex differences in data may affect conclusions drawn from large-scale data sets, omics, biospecimen analysis, novel interventions, and standard of care management. This was done in light of the current emphasis on inclusive study design and research.In oncology, gender differences are being investigated and reported more frequently, and glioma is no exception. Existing gender-derived disparities reflect data from retrospective and prospective trials, large-scale data sets from the real world, and bench work using animal and cell lines as potentially meaningful sex differences are discovered. Wide-ranging disparities in the data as a result could lead to both negative outcomes and a failure to recognize and take advantage of therapeutic benefits. In order to understand how women are represented in study samples and omics analyses, we set out to analyze the literature on women’s data disparities in glioma. We wanted to investigate whether sex bias still exists in contemporary data sets and how sex differences in data may affect conclusions drawn from large-scale data sets, omics, biospecimen analysis, novel interventions, and standard of care management. This was done in light of the current emphasis on inclusive study design and research.

Keywords: health disparities; sex differences; glioma; genomics; proteomics; large-scale data

Paper Quality: SCOPUS / Web of Science Level Research Paper

Subject: Biomolecules

Writer Experience: 20+ Years

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