Quantifying the Expanding Landscape of Clinical Actionability for Patients with Cancer
医学
癌症
内科学
计算生物学
生物信息学
生物
作者
Sarah P. Suehnholz,Moriah H. Nissan,Hongxin Zhang,Ritika Kundra,Subhiksha Nandakumar,Calvin Lu,Stephanie Carrero,Amanda Dhaneshwar,Nicole Fernandez,Benjamin W. Xu,Maria E. Arcila,Ahmet Zehir,Aijazuddin Syed,A. Rose Brannon,Julia E. Rudolph,Eder Paraiso,Paul Sabbatini,Ross L. Levine,Ahmet Doǧan,Jianjiong Gao
出处
期刊:Cancer Discovery [American Association for Cancer Research] 日期:2023-10-17卷期号:14 (1): 49-65被引量:157
There is a continuing debate about the proportion of cancer patients that benefit from precision oncology, attributable in part to conflicting views as to which molecular alterations are clinically actionable. To quantify the expansion of clinical actionability since 2017, we annotated 47,271 solid tumors sequenced with the MSK-IMPACT clinical assay using two temporally distinct versions of the OncoKB knowledge base deployed 5 years apart. Between 2017 and 2022, we observed an increase from 8.9% to 31.6% in the fraction of tumors harboring a standard care (level 1 or 2) predictive biomarker of therapy response and an almost halving of tumors carrying nonactionable drivers (44.2% to 22.8%). In tumors with limited or no clinical actionability, TP53 (43.2%), KRAS (19.2%), and CDKN2A (12.2%) were the most frequently altered genes. Although clear progress has been made in expanding the availability of precision oncology-based treatment paradigms, our results suggest a continued unmet need for innovative therapeutic strategies, particularly for cancers with currently undruggable oncogenic drivers. See related commentary by Horak and Fröhling, p. 18. This article is featured in Selected Articles from This Issue, p. 5.