Evidence and gaps in tumor-agnostic therapies for breast cancer: a narrative review.

IF 1.4
Daniel Thomas Jones, Rishi Kumar Nanda, Manraj Dhillon, Aishwarya Hanspal, Erij Nile Makhdoom, Jason Ta, Ramaditya Srinivasmurthy, Abbas Ali Hussain, Riccesha Hattin, Tommy Vu, Yin Mon Myat, Hazem Aboaid, Kyaw Zin Thein
{"title":"Evidence and gaps in tumor-agnostic therapies for breast cancer: a narrative review.","authors":"Daniel Thomas Jones, Rishi Kumar Nanda, Manraj Dhillon, Aishwarya Hanspal, Erij Nile Makhdoom, Jason Ta, Ramaditya Srinivasmurthy, Abbas Ali Hussain, Riccesha Hattin, Tommy Vu, Yin Mon Myat, Hazem Aboaid, Kyaw Zin Thein","doi":"10.21037/tbcr-2025-1-69","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objective: </strong>Tumor-agnostic therapies enable treatment selection based on shared molecular alterations rather than tissue of origin and represent a central advancement in precision oncology. Since 2017, multiple U.S. Food and Drug Administration (FDA) approvals have validated this biomarker-driven framework across solid tumors. Clinical applicability in breast cancer is limited by the low prevalence of actionable tumor-agnostic biomarkers and minimal representation of breast tumors in pivotal registrational trials. This review evaluates the biological rationale, clinical evidence, and relevance of tumor-agnostic therapies in breast cancer.</p><p><strong>Methods: </strong>A structured literature search was conducted using PubMed/MEDLINE, Embase, ClinicalTrials.gov, and FDA regulatory documents from database inception through November 2025. Search terms included tumor-agnostic, tissue-agnostic, basket trials, and biomarker-specific therapies. Inclusion was restricted to FDA-approved tumor-agnostic therapies supported by prospective clinical or registration-enabling data.</p><p><strong>Key content and findings: </strong>Nine FDA-approved tumor-agnostic therapies across multiple mechanistic classes were identified. Breast cancer representation in pivotal datasets was limited or absent in most approvals. Several therapies were supported by datasets that included no breast cancer patients, while others included only one to three cases. The largest breast cancer subgroups included fewer than fifteen patients. Clinical activity was observed in select contexts, particularly NTRK fusion-positive tumors and hypermutated cancers treated with immune checkpoint inhibitors. Most available evidence in breast cancer is derived from extrapolation across non-breast tumor types.</p><p><strong>Conclusions: </strong>Tumor-agnostic therapies represent a biologically valid treatment strategy for rare molecular subsets of breast cancer. Clinical implementation is constrained by low biomarker prevalence, limited disease-specific evidence, and absence of robust survival data. A selective, guideline-informed approach using comprehensive genomic profiling in metastatic disease is appropriate. Expansion of breast-specific evidence through histology-enriched trials, prospective registries, and standardized molecular diagnostics is required to define the role of tumor-agnostic therapies in breast oncology.</p>","PeriodicalId":101427,"journal":{"name":"Translational breast cancer research : a journal focusing on translational research in breast cancer","volume":"7 ","pages":"30"},"PeriodicalIF":1.4000,"publicationDate":"2026-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13458064/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational breast cancer research : a journal focusing on translational research in breast cancer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/tbcr-2025-1-69","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background and objective: Tumor-agnostic therapies enable treatment selection based on shared molecular alterations rather than tissue of origin and represent a central advancement in precision oncology. Since 2017, multiple U.S. Food and Drug Administration (FDA) approvals have validated this biomarker-driven framework across solid tumors. Clinical applicability in breast cancer is limited by the low prevalence of actionable tumor-agnostic biomarkers and minimal representation of breast tumors in pivotal registrational trials. This review evaluates the biological rationale, clinical evidence, and relevance of tumor-agnostic therapies in breast cancer.

Methods: A structured literature search was conducted using PubMed/MEDLINE, Embase, ClinicalTrials.gov, and FDA regulatory documents from database inception through November 2025. Search terms included tumor-agnostic, tissue-agnostic, basket trials, and biomarker-specific therapies. Inclusion was restricted to FDA-approved tumor-agnostic therapies supported by prospective clinical or registration-enabling data.

Key content and findings: Nine FDA-approved tumor-agnostic therapies across multiple mechanistic classes were identified. Breast cancer representation in pivotal datasets was limited or absent in most approvals. Several therapies were supported by datasets that included no breast cancer patients, while others included only one to three cases. The largest breast cancer subgroups included fewer than fifteen patients. Clinical activity was observed in select contexts, particularly NTRK fusion-positive tumors and hypermutated cancers treated with immune checkpoint inhibitors. Most available evidence in breast cancer is derived from extrapolation across non-breast tumor types.

Conclusions: Tumor-agnostic therapies represent a biologically valid treatment strategy for rare molecular subsets of breast cancer. Clinical implementation is constrained by low biomarker prevalence, limited disease-specific evidence, and absence of robust survival data. A selective, guideline-informed approach using comprehensive genomic profiling in metastatic disease is appropriate. Expansion of breast-specific evidence through histology-enriched trials, prospective registries, and standardized molecular diagnostics is required to define the role of tumor-agnostic therapies in breast oncology.

乳腺癌肿瘤不可知论治疗的证据和差距:叙述性回顾。
背景和目的:肿瘤不可知疗法使治疗选择基于共同的分子改变,而不是组织起源,代表了精确肿瘤学的核心进步。自2017年以来,美国食品和药物管理局(FDA)的多个批准已经验证了这种生物标志物驱动的框架在实体肿瘤中的应用。可操作的肿瘤不可知生物标志物的低流行率和关键注册试验中乳腺肿瘤的最小代表性限制了乳腺癌的临床适用性。这篇综述评估了乳腺癌肿瘤不可知治疗的生物学原理、临床证据和相关性。方法:使用PubMed/MEDLINE、Embase、ClinicalTrials.gov和FDA从数据库建立到2025年11月的监管文件进行结构化文献检索。搜索词包括肿瘤不可知论、组织不可知论、篮子试验和生物标志物特异性治疗。纳入仅限于fda批准的肿瘤不可知疗法,并有前瞻性临床或注册数据支持。关键内容和发现:确定了9种fda批准的肿瘤不可知论疗法,涉及多个机制类别。在大多数批准中,关键数据集中的乳腺癌代表性有限或缺失。有几种治疗方法的数据集没有包括乳腺癌患者,而其他治疗方法只包括一到三个病例。最大的乳腺癌亚组包括不到15名患者。在特定情况下观察到临床活性,特别是用免疫检查点抑制剂治疗的NTRK融合阳性肿瘤和超突变癌症。大多数关于乳腺癌的现有证据来自于非乳腺肿瘤类型的外推。结论:肿瘤不可知疗法代表了罕见的乳腺癌分子亚群的生物学有效治疗策略。临床实施受到生物标志物患病率低、疾病特异性证据有限以及缺乏可靠的生存数据的限制。在转移性疾病中使用全面的基因组分析是一种选择性的、有指导意义的方法。需要通过丰富组织学的试验、前瞻性登记和标准化分子诊断来扩大乳腺特异性证据,以确定肿瘤不可知论治疗在乳腺肿瘤学中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书