AI Article Synopsis

  • The phase II KEYNOTE-086 study assessed the effectiveness of pembrolizumab monotherapy in treating metastatic triple-negative breast cancer (mTNBC) in two patient cohorts, focusing on biomarker associations with clinical outcomes.
  • Two cohorts were analyzed: Cohort A had patients with progressing mTNBC post-treatment, while Cohort B included treatment-naive PD-L1-positive patients; various molecular biomarkers were evaluated for their relationship with objective response rate, progression-free survival, and overall survival.
  • Significant associations were found between several biomarkers (including PD-L1, CD8, TMB, and TcellGEP) and treatment outcomes, indicating their potential as predictive indicators of response to pembrolizumab therapy.

Article Abstract

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 (TcellGEP; RNA sequencing), and 10 non-TcellGEP signatures (RNA sequencing); Wald test values were calculated, and significance was prespecified at α = 0.05.

Results: In the combined cohorts (A and B), PD-L1 ( = .040), CD8 ( < .001), sTILs ( = .012), TMB ( = .007), and TcellGEP ( = .011) were significantly associated with ORR; CD8 ( < .001), TMB ( = .034), Signature 3 ( = .009), and TcellGEP ( = .002) with PFS; and CD8 ( < .001), sTILs ( = .004), TMB ( = .025), and TcellGEP ( = .001) with OS. None of the non-TcellGEP signatures were associated with outcomes of pembrolizumab after adjusting for the TcellGEP.

Conclusion: In this exploratory biomarker analysis from KEYNOTE-086, baseline tumor PD-L1, CD8, sTILs, TMB, and TcellGEP 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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http://dx.doi.org/10.1200/PO.22.00317DOI Listing

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