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Published on: December 9, 2015
Quantifying the Expanding Landscape of Clinical Actionability for Patients with Cancer
Sarah P Suehnholz1,2, Moriah H Nissan1,2, Hongxin Zhang1
1Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
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.
Insights
Precision oncology has significantly expanded clinical actionability in solid tumors between 2017 and 2022. Despite progress, many cancers still lack actionable targets, highlighting the need for novel therapies.
Area of Science:
- Oncology
- Genomics
- Translational Medicine
Background:
- Precision oncology aims to tailor cancer treatments based on molecular profiles.
- Defining clinically actionable molecular alterations is crucial for patient benefit.
- The landscape of actionable targets in cancer is rapidly evolving.
Purpose of the Study:
- To quantify the change in clinical actionability of solid tumors over a five-year period.
- To assess the impact of evolving knowledge bases on treatment selection.
- To identify frequently altered genes in tumors lacking standard care biomarkers.
Main Methods:
- Analysis of 47,271 solid tumors sequenced using the MSK-IMPACT assay.
- Comparison of tumor molecular alterations against two versions of the OncoKB knowledge base (2017 vs. 2022).
- Categorization of alterations based on clinical actionability levels (standard care vs. nonactionable).
Main Results:
- The proportion of tumors with standard care predictive biomarkers increased from 8.9% to 31.6% (2017-2022).
- The fraction of tumors with nonactionable drivers decreased from 44.2% to 22.8%.
- TP53, KRAS, and CDKN2A were the most frequent alterations in tumors with limited actionability.
Conclusions:
- Clinical actionability in precision oncology has substantially increased due to knowledge base advancements.
- A significant unmet need persists for novel therapies targeting undruggable oncogenic drivers.
- Continued research is vital to expand therapeutic options for all cancer patients.
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