{"title":"对ProfiLER-02研究设计和结果的关键评价","authors":"Vivek Subbiah, Razelle Kurzrock","doi":"10.1038/s41591-025-03959-2","DOIUrl":null,"url":null,"abstract":"<p><span>arising from</span> Olivier Trédan et al. <i>Nature Medicine</i> https://doi.org/10.1038/s41591-025-03613-x (2025)</p><p>The ProfiLER-02 study, discussed in ref. <sup>1</sup>, represents a significant randomized controlled trial examining genomic testing approaches in cancer treatment. The study compared comprehensive genetic testing (324 genes) versus limited testing (87 genes) in 339 patients with advanced solid tumors to determine which approach yielded better treatment recommendations and clinical outcomes<sup>1</sup>. The comprehensive genetic panel demonstrated superior identification of potential treatments, detecting actionable targets in 52% of patients compared to 37% with the smaller panel, a notable 15%-point increase. Additionally, more patients received molecularly-targeted treatments with comprehensive testing (14% versus 9%). However, despite identifying more treatment options, the study found no improvement in patient survival or treatment response rates, highlighting a critical gap between genomic discovery and clinical benefit<sup>1</sup>. While this randomized controlled trial represents a valuable effort to provide patients with access to testing, several methodological limitations in its design, implementation and analysis may limit its generalizability and leave important questions for future research to address.</p>","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":"241 1","pages":""},"PeriodicalIF":50.0000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Critical evaluation of the ProfiLER-02 study design and outcomes\",\"authors\":\"Vivek Subbiah, Razelle Kurzrock\",\"doi\":\"10.1038/s41591-025-03959-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><span>arising from</span> Olivier Trédan et al. <i>Nature Medicine</i> https://doi.org/10.1038/s41591-025-03613-x (2025)</p><p>The ProfiLER-02 study, discussed in ref. <sup>1</sup>, represents a significant randomized controlled trial examining genomic testing approaches in cancer treatment. The study compared comprehensive genetic testing (324 genes) versus limited testing (87 genes) in 339 patients with advanced solid tumors to determine which approach yielded better treatment recommendations and clinical outcomes<sup>1</sup>. The comprehensive genetic panel demonstrated superior identification of potential treatments, detecting actionable targets in 52% of patients compared to 37% with the smaller panel, a notable 15%-point increase. Additionally, more patients received molecularly-targeted treatments with comprehensive testing (14% versus 9%). However, despite identifying more treatment options, the study found no improvement in patient survival or treatment response rates, highlighting a critical gap between genomic discovery and clinical benefit<sup>1</sup>. While this randomized controlled trial represents a valuable effort to provide patients with access to testing, several methodological limitations in its design, implementation and analysis may limit its generalizability and leave important questions for future research to address.</p>\",\"PeriodicalId\":19037,\"journal\":{\"name\":\"Nature Medicine\",\"volume\":\"241 1\",\"pages\":\"\"},\"PeriodicalIF\":50.0000,\"publicationDate\":\"2025-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41591-025-03959-2\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41591-025-03959-2","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
源自Olivier tracimdan等人。Nature Medicine https://doi.org/10.1038/s41591-025-03613-x(2025)参考文献1中讨论的ProfiLER-02研究是一项重要的随机对照试验,研究了癌症治疗中的基因组检测方法。该研究比较了339例晚期实体瘤患者的综合基因检测(324个基因)和有限基因检测(87个基因),以确定哪种方法产生更好的治疗建议和临床结果。综合遗传面板显示出对潜在治疗的优越识别,在52%的患者中检测到可操作的靶点,而较小的面板为37%,显着增加了15%。此外,更多的患者接受了综合检测的分子靶向治疗(14%对9%)。然而,尽管确定了更多的治疗选择,该研究并未发现患者生存率或治疗反应率的改善,这突出了基因组发现与临床益处之间的关键差距1。虽然这项随机对照试验代表了为患者提供检测途径的宝贵努力,但其设计、实施和分析中的一些方法学限制可能会限制其普遍性,并为未来的研究留下重要问题。
Critical evaluation of the ProfiLER-02 study design and outcomes
arising from Olivier Trédan et al. Nature Medicine https://doi.org/10.1038/s41591-025-03613-x (2025)
The ProfiLER-02 study, discussed in ref. 1, represents a significant randomized controlled trial examining genomic testing approaches in cancer treatment. The study compared comprehensive genetic testing (324 genes) versus limited testing (87 genes) in 339 patients with advanced solid tumors to determine which approach yielded better treatment recommendations and clinical outcomes1. The comprehensive genetic panel demonstrated superior identification of potential treatments, detecting actionable targets in 52% of patients compared to 37% with the smaller panel, a notable 15%-point increase. Additionally, more patients received molecularly-targeted treatments with comprehensive testing (14% versus 9%). However, despite identifying more treatment options, the study found no improvement in patient survival or treatment response rates, highlighting a critical gap between genomic discovery and clinical benefit1. While this randomized controlled trial represents a valuable effort to provide patients with access to testing, several methodological limitations in its design, implementation and analysis may limit its generalizability and leave important questions for future research to address.
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