Quantifying the Expanding Landscape of Clinical Actionability for Patients with Cancer

Sarah P. Suehnholz(Memorial Sloan Kettering Cancer Center), Moriah H. Nissan(Memorial Sloan Kettering Cancer Center), Hongxin Zhang(Memorial Sloan Kettering Cancer Center), Ritika Kundra(Memorial Sloan Kettering Cancer Center), Subhiksha Nandakumar(Memorial Sloan Kettering Cancer Center), Calvin Lu(Memorial Sloan Kettering Cancer Center), Stephanie Carrero(Memorial Sloan Kettering Cancer Center), Amanda Dhaneshwar(Memorial Sloan Kettering Cancer Center), Nicole Fernandez(Memorial Sloan Kettering Cancer Center), Benjamin W. Xu(Yale University), Maria E. Arcila(Memorial Sloan Kettering Cancer Center), Ahmet Zehir(Memorial Sloan Kettering Cancer Center), Aijazuddin Syed(Memorial Sloan Kettering Cancer Center), A. Rose Brannon(Memorial Sloan Kettering Cancer Center), Julia E. Rudolph(Memorial Sloan Kettering Cancer Center), Eder Paraiso(Memorial Sloan Kettering Cancer Center), Paul Sabbatini(Memorial Sloan Kettering Cancer Center), Ross L. Levine(Memorial Sloan Kettering Cancer Center), Ahmet Doǧan(Memorial Sloan Kettering Cancer Center), Jianjiong Gao(Memorial Sloan Kettering Cancer Center), Marc Ladanyi(Memorial Sloan Kettering Cancer Center), Alexander Drilon(Memorial Sloan Kettering Cancer Center), Michael F. Berger(Memorial Sloan Kettering Cancer Center), David B. Solit(Memorial Sloan Kettering Cancer Center), Nikolaus Schultz(Memorial Sloan Kettering Cancer Center), Debyani Chakravarty(Memorial Sloan Kettering Cancer Center)
Cancer Discovery
October 17, 2023
Cited by 383Open Access
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Abstract

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. SIGNIFICANCE: 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.


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