Gaurav Mendiratta, David Liarakos, Melinda Tong, Satoko Ito, Eugene Ke, George Goshua, Edward C Stites
{"title":"癌症研究与驱动基因突变负担无关。","authors":"Gaurav Mendiratta, David Liarakos, Melinda Tong, Satoko Ito, Eugene Ke, George Goshua, Edward C Stites","doi":"10.1016/j.medj.2024.05.013","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cancer research is pursued with the goal of positively impacting patients with cancer. Decisions regarding how to allocate research funds reflect a complex balancing of priorities and factors. Even though these are subjective decisions, they should be made with consideration of all available objective facts. An accurate estimate of the affected cancer patient population by mutation is one variable that has only recently become available to inform funding decisions.</p><p><strong>Methods: </strong>We compared the overall incident burden of mutations within each cancer-associated gene with two measures of cancer research efforts: research grant funding amounts and numbers of academic manuscripts. We ask to what degree the aggregate set of cancer research efforts reflects the relative burdens of the different cancer genetic drivers. We thoroughly investigate the design of our queries to ensure that the presented results are robust and conclusions are well justified.</p><p><strong>Findings: </strong>We find cancer research is generally not correlated with the relative burden of mutation within the different genetic drivers of cancer.</p><p><strong>Conclusions: </strong>We suggest that cancer research would benefit from incorporating, among other factors, an epidemiologically informed mutation-estimate baseline into a larger framework for funding and research allocation decisions.</p><p><strong>Funding: </strong>This work was supported in part by the National Institutes of Health (NIH) P30CA014195 and NIH DP2AT011327.</p>","PeriodicalId":29964,"journal":{"name":"Med","volume":null,"pages":null},"PeriodicalIF":12.8000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cancer research is not correlated with driver gene mutation burdens.\",\"authors\":\"Gaurav Mendiratta, David Liarakos, Melinda Tong, Satoko Ito, Eugene Ke, George Goshua, Edward C Stites\",\"doi\":\"10.1016/j.medj.2024.05.013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Cancer research is pursued with the goal of positively impacting patients with cancer. Decisions regarding how to allocate research funds reflect a complex balancing of priorities and factors. Even though these are subjective decisions, they should be made with consideration of all available objective facts. An accurate estimate of the affected cancer patient population by mutation is one variable that has only recently become available to inform funding decisions.</p><p><strong>Methods: </strong>We compared the overall incident burden of mutations within each cancer-associated gene with two measures of cancer research efforts: research grant funding amounts and numbers of academic manuscripts. We ask to what degree the aggregate set of cancer research efforts reflects the relative burdens of the different cancer genetic drivers. We thoroughly investigate the design of our queries to ensure that the presented results are robust and conclusions are well justified.</p><p><strong>Findings: </strong>We find cancer research is generally not correlated with the relative burden of mutation within the different genetic drivers of cancer.</p><p><strong>Conclusions: </strong>We suggest that cancer research would benefit from incorporating, among other factors, an epidemiologically informed mutation-estimate baseline into a larger framework for funding and research allocation decisions.</p><p><strong>Funding: </strong>This work was supported in part by the National Institutes of Health (NIH) P30CA014195 and NIH DP2AT011327.</p>\",\"PeriodicalId\":29964,\"journal\":{\"name\":\"Med\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":12.8000,\"publicationDate\":\"2024-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Med\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.medj.2024.05.013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Med","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.medj.2024.05.013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Cancer research is not correlated with driver gene mutation burdens.
Background: Cancer research is pursued with the goal of positively impacting patients with cancer. Decisions regarding how to allocate research funds reflect a complex balancing of priorities and factors. Even though these are subjective decisions, they should be made with consideration of all available objective facts. An accurate estimate of the affected cancer patient population by mutation is one variable that has only recently become available to inform funding decisions.
Methods: We compared the overall incident burden of mutations within each cancer-associated gene with two measures of cancer research efforts: research grant funding amounts and numbers of academic manuscripts. We ask to what degree the aggregate set of cancer research efforts reflects the relative burdens of the different cancer genetic drivers. We thoroughly investigate the design of our queries to ensure that the presented results are robust and conclusions are well justified.
Findings: We find cancer research is generally not correlated with the relative burden of mutation within the different genetic drivers of cancer.
Conclusions: We suggest that cancer research would benefit from incorporating, among other factors, an epidemiologically informed mutation-estimate baseline into a larger framework for funding and research allocation decisions.
Funding: This work was supported in part by the National Institutes of Health (NIH) P30CA014195 and NIH DP2AT011327.
期刊介绍：
Med is a flagship medical journal published monthly by Cell Press, the global publisher of trusted and authoritative science journals including Cell, Cancer Cell, and Cell Reports Medicine. Our mission is to advance clinical research and practice by providing a communication forum for the publication of clinical trial results, innovative observations from longitudinal cohorts, and pioneering discoveries about disease mechanisms. The journal also encourages thought-leadership discussions among biomedical researchers, physicians, and other health scientists and stakeholders. Our goal is to improve health worldwide sustainably and ethically.
Med publishes rigorously vetted original research and cutting-edge review and perspective articles on critical health issues globally and regionally. Our research section covers clinical case reports, first-in-human studies, large-scale clinical trials, population-based studies, as well as translational research work with the potential to change the course of medical research and improve clinical practice.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
