医学
排名(信息检索)
精确肿瘤学
比例(比率)
医学物理学
精密医学
肿瘤科
梅德林
数据挖掘
生物信息学
考试(生物学)
内科学
临床肿瘤学
计算生物学
分子诊断学
数据科学
作者
Aya El Helali,Claudia Cardone,N. Coleman,Juliana Rodrigues Beal,Mel Valerie B. Cruz-Ordinario,Emre Kocakavuk,Matthew Kin-Liang Chiu,David Morgan Thomas,Clare Turnbull,Funda Meric‐Bernstam,Fernanda Mosele,D. Chakravarty,Rodrigo Dienstmann,David Tamborero,Hege Giercksky Russnes,Maximilian Kordes,Herbert Ho-Fung Loong,Albrecht Stenzinger,Jens Rueter,Diogo Alexandre Martins-Branco
标识
DOI:10.1016/j.annonc.2026.09.008
摘要
BACKGROUND: Since the publication of the ESMO Scale for Clinical Actionability of Molecular Targets (ESCAT) in 2018, precision oncology has evolved substantially. Tumour-agnostic therapy approvals, expanding real-world evidence datasets, and the clinical recognition of genomic resistance biomarkers have created the need to revise the original framework. METHODS: The ESMO Precision Oncology and Taxonomy Committee convened an international expert panel to revise the ESCAT classification. Through iterative review of the evolving evidence-base, structured feedback rounds, and consensus discussions, the panel developed an updated actionability scale and a novel resistance scale. The revision followed three principles: explicit grading of uncertainty within actionable tiers, formal inclusion of tumour-agnostic eligibility criteria, and systematic classification of resistance biomarkers to complement sensitivity designations. RESULTS: ESCAT version 2 (ESCAT v2) introduces several substantive changes. Tier I is restructured into three categories, proven, inferred, and extrapolated, that carry the same clinical directive but differ in the level of certainty within the supporting evidence. The guideline introduces formal tumour-agnostic gating criteria, the ESMO Tumour-Agnostic Classifier and Screener (ETAC-S). Tier II is refined into three sub-tiers graded by prospective interventional evidence, high-quality real-world or non-prospective evidence, and replicated case-level evidence. Tier X is subdivided into alterations that are tested and found not to be predictive (X-A) and biomarker-therapy matches in which the therapy lacks meaningful activity in the biomarker-defined population (X-B). A parallel four-level resistance scale ranges from clinically validated resistance (contraindication) to preclinical or computational evidence (research use only). CONCLUSIONS: ESCAT v2 provides a comprehensive, evidence-graded framework for interpreting actionability and resistance biomarkers in cancer, enabling more nuanced communication among clinicians, patients, regulators, and researchers while preserving a clear directive to act when evidence supports patient benefit.
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