Mei Luo, Jingwen Yang, Alejandro A Schaffer, Chengxuan Chen, Yuan Liu, Yamei Chen, Chunru Lin, Lixia Diao, Yong Zang, Yanyan Lou, Huda Salman, Gordon B Mills, Eytan Ruppin, Leng Han
{"title":"抗癌疗效的祖先差异及其潜在的基因组和分子改变。","authors":"Mei Luo, Jingwen Yang, Alejandro A Schaffer, Chengxuan Chen, Yuan Liu, Yamei Chen, Chunru Lin, Lixia Diao, Yong Zang, Yanyan Lou, Huda Salman, Gordon B Mills, Eytan Ruppin, Leng Han","doi":"10.1158/2159-8290.CD-24-0827","DOIUrl":null,"url":null,"abstract":"<p><p>Systematic multi-omics analysis revealed ancestry-dependent molecular alterations, but their impact on the efficacy of anti-cancer treatment is yet largely unknown. Here, we analyzed clinical trials from ClinicalTrials.gov and found that only 8,779/102,721 (8.5%) oncology clinical trials posted information on enrollment by race/ethnicity. The underrepresentation of non-White populations suggests that it remains challenging to determine differences in the efficacy of anti-tumor treatments among different racial groups. Through a comprehensive analysis of clinically actionable genes, imputed drug responses, and immune features, we identified potential differences in treatment response to targeted, chemo and immunotherapies between different ancestral populations. Further analysis of multiple independent cohorts confirmed some of our key findings. Such potential ancestral effects are also identified in response to emerging new treatments like CAR-T therapy and PROTACs. These findings are made publicly available in a comprehensive web portal, Ancestral Differences of Efficacy in Cancers (ADEC; https://hanlaboratory.com/ADEC), to facilitate their further investigation.</p>","PeriodicalId":9430,"journal":{"name":"Cancer discovery","volume":" ","pages":""},"PeriodicalIF":29.7000,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ancestral differences in anti-cancer treatment efficacy and their underlying genomic and molecular alterations.\",\"authors\":\"Mei Luo, Jingwen Yang, Alejandro A Schaffer, Chengxuan Chen, Yuan Liu, Yamei Chen, Chunru Lin, Lixia Diao, Yong Zang, Yanyan Lou, Huda Salman, Gordon B Mills, Eytan Ruppin, Leng Han\",\"doi\":\"10.1158/2159-8290.CD-24-0827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Systematic multi-omics analysis revealed ancestry-dependent molecular alterations, but their impact on the efficacy of anti-cancer treatment is yet largely unknown. Here, we analyzed clinical trials from ClinicalTrials.gov and found that only 8,779/102,721 (8.5%) oncology clinical trials posted information on enrollment by race/ethnicity. The underrepresentation of non-White populations suggests that it remains challenging to determine differences in the efficacy of anti-tumor treatments among different racial groups. Through a comprehensive analysis of clinically actionable genes, imputed drug responses, and immune features, we identified potential differences in treatment response to targeted, chemo and immunotherapies between different ancestral populations. Further analysis of multiple independent cohorts confirmed some of our key findings. Such potential ancestral effects are also identified in response to emerging new treatments like CAR-T therapy and PROTACs. These findings are made publicly available in a comprehensive web portal, Ancestral Differences of Efficacy in Cancers (ADEC; https://hanlaboratory.com/ADEC), to facilitate their further investigation.</p>\",\"PeriodicalId\":9430,\"journal\":{\"name\":\"Cancer discovery\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":29.7000,\"publicationDate\":\"2024-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer discovery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1158/2159-8290.CD-24-0827\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer discovery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/2159-8290.CD-24-0827","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Ancestral differences in anti-cancer treatment efficacy and their underlying genomic and molecular alterations.
Systematic multi-omics analysis revealed ancestry-dependent molecular alterations, but their impact on the efficacy of anti-cancer treatment is yet largely unknown. Here, we analyzed clinical trials from ClinicalTrials.gov and found that only 8,779/102,721 (8.5%) oncology clinical trials posted information on enrollment by race/ethnicity. The underrepresentation of non-White populations suggests that it remains challenging to determine differences in the efficacy of anti-tumor treatments among different racial groups. Through a comprehensive analysis of clinically actionable genes, imputed drug responses, and immune features, we identified potential differences in treatment response to targeted, chemo and immunotherapies between different ancestral populations. Further analysis of multiple independent cohorts confirmed some of our key findings. Such potential ancestral effects are also identified in response to emerging new treatments like CAR-T therapy and PROTACs. These findings are made publicly available in a comprehensive web portal, Ancestral Differences of Efficacy in Cancers (ADEC; https://hanlaboratory.com/ADEC), to facilitate their further investigation.
期刊介绍:
Cancer Discovery publishes high-impact, peer-reviewed articles detailing significant advances in both research and clinical trials. Serving as a premier cancer information resource, the journal also features Review Articles, Perspectives, Commentaries, News stories, and Research Watch summaries to keep readers abreast of the latest findings in the field. Covering a wide range of topics, from laboratory research to clinical trials and epidemiologic studies, Cancer Discovery spans the entire spectrum of cancer research and medicine.