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. 2022 Aug 16;6(1):56.
doi: 10.1038/s41698-022-00297-1.

Comparative biomarker analysis of PALOMA-2/3 trials for palbociclib

Affiliations

Comparative biomarker analysis of PALOMA-2/3 trials for palbociclib

Zhou Zhu et al. NPJ Precis Oncol. .

Abstract

While cyclin-dependent kinase 4/6 (CDK4/6) inhibitors, including palbociclib, combined with endocrine therapy (ET), are becoming the standard-of-care for hormone receptor-positive/human epidermal growth factor receptor 2‒negative metastatic breast cancer, further mechanistic insights are needed to maximize benefit from the treatment regimen. Herein, we conducted a systematic comparative analysis of gene expression/progression-free survival relationship from two phase 3 trials (PALOMA-2 [first-line] and PALOMA-3 [≥second-line]). In the ET-only arm, there was no inter-therapy line correlation. However, adding palbociclib resulted in concordant biomarkers independent of initial ET responsiveness, with shared sensitivity genes enriched in estrogen response and resistance genes over-represented by mTORC1 signaling and G2/M checkpoint. Biomarker patterns from the combination arm resembled patterns observed in ET in advanced treatment-naive patients, especially patients likely to be endocrine-responsive. Our findings suggest palbociclib may recondition endocrine-resistant tumors to ET, and may guide optimal therapeutic sequencing by partnering CDK4/6 inhibitors with different ETs. Pfizer (NCT01740427; NCT01942135).

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Conflict of interest statement

N.C.T. has been a consultant or advisor for Pfizer Inc; and has received research funding from Pfizer Inc, Eli Lilly, and Novartis. S.L. has received research funding from Merck, Novartis, Roche, and Genentech. F.A. has received research funding from AstraZeneca, Novartis, Pfizer Inc, Eli Lilly, and Daiichi Sankyo, and served as a speaker/advisor for AstraZeneca, Novartis, Pfizer Inc, Eli Lilly, and Daiichi Sankyo (compensated to his institution). M.M. has received research grants from Roche and Novartis and speakers honoraria from AstraZeneca, Amgen, Roche/Genentech, Novartis, PharmaMar, Eli Lilly, and Pfizer Inc. V.D., has received consulting fees from Genentech, Pfizer Inc, AbbVie, Novartis Pharma KK, Roche-Peru, Eli Lilly, AstraZeneca, and Daiichi and serves on speakers bureaus for Pfizer Inc, Novartis Pharma KK, Roche-Peru, and AstraZeneca. K.A.G. has received consulting/advisory fees from Pfizer Inc, Novartis, AstraZeneca, Roche, Eli Lilly, Mylan, Bristol-Myers Squibb, NanoString Technologies, and Merck. N.H., has been a consultant or advisor for Eli Lilly, Novartis, and Pfizer Inc. H.S.R. has received research grant/funding from Pfizer Inc, Merck, Novartis, Lilly, Genentech, Odonate, Daiichi, Seattle Genetics, Eisai, Macrogenics, Sermonix, Boehringer Ingelheim, Polyphor, AstraZeneca, and Immunomedics; and has received honoraria from PUMA, Samsung, and Mylan. S.L. reports research fees and to her institution from AbbVie, Amgen, AstraZeneca, Bayer, Bristol-Myers Squibb, Celgene, Cepheid, Eirgenix, GlaxoSmithKline, Immunomedics, Eli Lilly, Merck/MSD, Merck Kg, Novartis, Pfizer Inc, Pierre-Fabre, Puma, Roche, Samsung, Teva, and Vifor. M.C. has received consulting fees from Novartis, Merus, CytoDyn, Sermonix, and G1 Therapeutics; honoraria from Pfizer Inc; and research funding from Pfizer Inc, Novartis, Merus, Lilly, and G1 Therapeutics. R.S. F. has received consulting fees from Pfizer Inc, AstraZeneca, Bayer, Novartis, Bristol-Myers Squibb, Eisai, Eli Lilly, Merck, and Roche, as well as other research funding from Pfizer Inc and honoraria from Bayer, Pfizer Inc, Bristol-Myers Squibb, Novartis, Eisai, and Eli Lilly. Z.Z., C.Z., J.Q.C., Z.Y., D.R.L., P.W., T.L.V., P.A.R., X.H. and Y.L. are or were employees of and own stock in Pfizer Inc.

Figures

Fig. 1
Fig. 1. Overview of comparative PALOMA-2/3 biomarker analysis described in this study.
ET endocrine therapy; GE gene expression; PAL palbociclib; PCA principal component analysis; PFS progression-free survival; MBC metastatic breast cancer; Tx treatment.
Fig. 2
Fig. 2. Lack of correlation in predictive biomarker pattern between PALOMA-2 and PALOMA-3 appears driven by poor concordance in the ET arm.
Each data point corresponds to a gene on the EdgeSeq Oncology panel. R-value in the plots refers to Pearson correlation. a Comparison of gene expression/treatment effect interaction (dependency) in predicting PFS across the two trials. Plotted are interaction coefficient values (i.e. ln(Hazard Ratio)). b Comparison of gene expression/PFS association within each treatment arm (ET, left panel; ET plus palbociclib, right panel) across the two trials. ET endocrine therapy; PAL palbociclib; PFS progression-free survival.
Fig. 3
Fig. 3. Relative consistency within the combination arm indicates a likely conserved mechanism in palbociclib response regardless of prior lines of treatment.
Shown are genes whose expression are associated with PFS from treatment with palbociclib plus ET in both PALOMA-2 and PALOMA-3 (nominal P ≤ 0.05, top panels) and their enriched hallmark pathways (FDR ≤ 0.25, bottom panels) where orange bars highlight those with FDR ≤ 0.05. a Sensitivity genes whose higher expression is associated with longer PFS. b Resistance genes whose higher expression is associated with shorter PFS. ET endocrine therapy; FDR false discovery rate; PFS progression-free survival.
Fig. 4
Fig. 4. The addition of palbociclib may recondition endocrine responsiveness through concerted actions on CDK4 and ER signaling networks.
a Hierarchical clustering analysis of gene expression/PFS association across the four treatment arms from PALOMA-2 (II) and PALOMA-3 (III). Distance metric was defined using 1 minus correlation coefficient; average linkage was used for clustering. b PCA of global gene expression/PFS association by molecular subtype. LumA or LumB subtype classification is represented by shape, treatment arm represented by color, and cohort represented by number in label (“2” for PALOMA-2 and “3” for PALOMA-3). The percentage values on the axes refer to the proportion of total variance accounted for by the first two principal components respectively. c The expression (top panel) and activity (bottom panel) of ER after palbociclib treatment in ER + cells. Transcript-level change in ESR1 on vehicle control or palbociclib at Day 1 or Day 7. GSEA enrichment plots for ER regulon (estrogen response genes) from MCF7 at Day 1 or Day 7. Genes were rank ordered from most downregulated by palbociclib (vs vehicle control) on the left to most upregulated on the right; each vertical line corresponds to a signature gene. ER estrogen receptor; ET endocrine therapy; FDR false discovery rate; FUL fulvestrant; GSEA gene set enrichment analysis; LET letrozole; LumA luminal A; LumB luminal B; NES normalized enrichment score; PAL palbociclib; PC principal component; PCA principal component analysis; PFS progression-free survival.
Fig. 5
Fig. 5. PALOMA-2–specific associations point to a potentially stronger role of the T-cell–inflamed TME in mediating palbociclib resistance in the front-line setting.
a Gene expression/PFS association result (numeric value and color intensity represent statistical significance of the association; red = resistance, green = sensitivity) of enriched interferon-gamma response and PD1 signaling genes from palbociclib plus ET treatment in PALOMA-2, PALOMA-3, and the postmenopausal patient/metastatic sample subset of PALOMA-3, respectively. b Relationship of PFS and the expression of a T-cell–inflamed TME signature that has been shown to be a pan-tumor predictive biomarker for immune checkpoint inhibitor response in the clinic in PALOMA-2 (top panel) and PALOMA-3 (bottom panel) cohorts from median (left panel) and quartile (right panel) analyses. c Association between PFS and the expression of various immune cell types from palbociclib plus ET treatment. Shown is statistical significance in the direction of resistance (top) or sensitivity (bottom); blue lines mark P-value of 0.05. ET endocrine therapy; MDSC myeloid-derived suppressor cell; Mets metastatic; PFS progression-free survival; TME tumor microenvironment.

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