Association Between Biomarkers and Clinical Outcomes of Pembrolizumab Monotherapy in Patients With Metastatic Triple-Negative Breast Cancer: KEYNOTE-086 Exploratory Analysis

彭布罗利珠单抗 医学 内科学 肿瘤科 三阴性乳腺癌 队列 肿瘤浸润淋巴细胞 无进展生存期 转移性乳腺癌 乳腺癌 癌症 免疫疗法 化疗
作者
Sherene Loi,Roberto Salgado,Peter Schmid,Javier Cortés,David W. Cescon,Eric P. Winer,Deborah Toppmeyer,Hope S. Rugo,Michelino De Laurentiis,Rita Nanda,Hiroji Iwata,Ahmad Awada,Antoinette R. Tan,Yuan Sun,Vassiliki Karantza,Anran Wang,Lingkang Huang,Assieh Saadatpour,Rǎzvan Cristescu,Jennifer H. Yearley
出处
期刊:JCO precision oncology [Lippincott Williams & Wilkins]
卷期号: (7) 被引量:31
标识
DOI:10.1200/po.22.00317
摘要

PURPOSE In the two-cohort phase II KEYNOTE-086 study (ClinicalTrials.gov identifier: NCT02447003 ), first-line and second-line or later pembrolizumab monotherapy demonstrated antitumor activity in metastatic triple-negative breast cancer (mTNBC; N = 254). This exploratory analysis evaluates the association between prespecified molecular biomarkers and clinical outcomes. METHODS Cohort A enrolled patients with disease progression after one or more systemic therapies for metastatic disease irrespective of PD-L1 status; Cohort B enrolled patients with previously untreated PD-L1–positive (combined positive score [CPS] ≥ 1) metastatic disease. The association between the following biomarkers as continuous variables and clinical outcomes (objective response rate [ORR], progression-free survival [PFS], and overall survival [OS]) was evaluated: PD-L1 CPS (immunohistochemistry), cluster of differentiation 8 (CD8; immunohistochemistry), stromal tumor-infiltrating lymphocyte (sTIL; hematoxylin and eosin staining), tumor mutational burden (TMB; whole-exome sequencing [WES]), homologous recombination deficiency-loss of heterozygosity, mutational signature 3 (WES), mutational signature 2 (apolipoprotein B mRNA editing catalytic polypeptide–like; WES), T-cell–inflamed gene expression profile (Tcell inf GEP; RNA sequencing), and 10 non-Tcell inf GEP signatures (RNA sequencing); Wald test P values were calculated, and significance was prespecified at α = 0.05. RESULTS In the combined cohorts (A and B), PD-L1 ( P = .040), CD8 ( P < .001), sTILs ( P = .012), TMB ( P = .007), and Tcell inf GEP ( P = .011) were significantly associated with ORR; CD8 ( P < .001), TMB ( P = .034), Signature 3 ( P = .009), and Tcell inf GEP ( P = .002) with PFS; and CD8 ( P < .001), sTILs ( P = .004), TMB ( P = .025), and Tcell inf GEP ( P = .001) with OS. None of the non-Tcell inf GEP signatures were associated with outcomes of pembrolizumab after adjusting for the Tcell inf GEP. CONCLUSION In this exploratory biomarker analysis from KEYNOTE-086, baseline tumor PD-L1, CD8, sTILs, TMB, and Tcell inf GEP were associated with improved clinical outcomes of pembrolizumab and may help identify patients with mTNBC who are most likely to respond to pembrolizumab monotherapy.
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