Single-cell RNA sequencing identifies molecular biomarkers predicting late progression to CDK4/6 inhibition in patients with HR+/HER2- metastatic breast cancer.

Background: Cyclin-dependent kinase 4/6 inhibitors (CDK4/6is) in combination with endocrine therapy are the standard treatment for patients with hormone receptor-positive, HER2-negative metastatic breast cancer (mBC). Despite the efficacy of CDK4/6is, intrinsic resistance occurs in approximately one-third of patients, highlighting the need for reliable predictive biomarkers.

Methods: Single-cell RNA sequencing analyzed metastatic tumors from HR+/HER2- mBC patients pre-CDK4/6i treatment at baseline (BL) and/or at disease progression. BL samples were from CDK4/6i responders (median progression-free survival [mPFS] = 25.5 months), while progressors were categorized as early-progressors (EP, mPFS = 3 months) and late-progressors (LP, mPFS = 11 months). Metastatic sites included liver, pleural effusions, ascites, and bone. InferCNV distinguished tumor cells, and functional analysis utilized the Molecular Signatures Database.

Results: LP tumors displayed enhanced Myc, EMT, TNF-α, and inflammatory pathways compared to those EP tumors. Samples from BL and LP responders showed increased tumor-infiltrating CD8 T cells and natural killer (NK) cells compared to EP non-responders. Notably, despite a high frequency of CD8 T cells in responding tumors, a functional analysis revealed significant upregulation of genes associated with stress and apoptosis in proliferative CD4 and CD8 T cells in BL tumors compared to in EP and LP tumors. These genes, including HSP90 and HSPA8, are linked to resistance to PD1/PD-L1 immune checkpoint inhibitors. A ligand-receptor analysis showed enhanced interactions associated with inhibitory T-cell proliferation (SPP1-CD44) and suppression of immune activity (MDK-NCL) in LP tumors. Longitudinal biopsies consistently revealed dynamic NK cell expansion and enhanced cytotoxic T cell activity, alongside upregulation of immune activity inhibition, in LP tumors compared to in BL tumors. Notably, the predictive biomarker panel from BL tumor cells was validated in 2 independent cohorts, where it consistently predicted a significant improvement in mPFS duration in signature-high versus -low groups.

Conclusion: This study underscores the significance of molecular biomarkers in predicting clinical outcomes to CDK4/6i. Tumor-infiltration CD8 T and NK cells may also serve as baseline predictors. These insights pave the way for optimizing therapeutic strategies based on microenvironment-specific changes, providing a personalized and effective approach for managing HR+/HER2- mBC and improving patient outcomes.