| Literature DB >> 33769862 |
Aleix Prat1,2,3,4,5, Anwesha Chaudhury6, Nadia Solovieff6, Laia Paré2,3, Débora Martinez2,3, Nuria Chic1,2,3, Olga Martínez-Sáez1,2,3, Fara Brasó-Maristany1,2,3, Agnes Lteif7, Tetiana Taran8, Naveen Babbar7, Fei Su7.
Abstract
PURPOSE: The prognostic and predictive value of intrinsic subtypes in hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer treated with endocrine therapy and ribociclib (RIB) is currently unknown. We evaluated the association of intrinsic subtypes with progression-free survival (PFS) in the MONALEESA trials.Entities:
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Year: 2021 PMID: 33769862 PMCID: PMC8196091 DOI: 10.1200/JCO.20.02977
Source DB: PubMed Journal: J Clin Oncol ISSN: 0732-183X Impact factor: 44.544
FIG 1.Intrinsic subtype distribution across the ML trials based on PAM50 analysis. (A) All patients pooled from the ML-2, ML-3, and ML-7 trials. (B) Patients with PAM50 performed in primary tumor samples. (C) Patients with PAM50 performed in metastatic tumor samples. HER2E, human epidermal growth factor receptor 2–enriched; ML, MONALEESA.
Multivariable Cox Analyses of Prognostic Variables in the Combined MONALEESA Data Set
FIG 2.PFS based on intrinsic subtype in the combined MONALEESA data set: (A) in the RIB arm and (B) in the PBO arm. Basal, basal-like; HER2, human epidermal growth factor receptor 2; HER2E, HER2-enriched; LumA, luminal A; LumB, luminal B; NA, not achieved; Normal, normal-like; PBO, placebo; PFS, progression-free survival; RIB, ribociclib.
Predictive Value of Intrinsic Subtype on PFS by Treatment Arm
FIG 3.PFS based on treatment within each intrinsic subtype in the combined MONALEESA data set. (A) Within luminal A, (B) within luminal B, (C) within HER2E, (D) within basal-like, and (E) within normal-like. HER2E, human epidermal growth factor receptor 2–enriched; HR, hazard ratio; PBO, placebo; PFS, progression-free survival; RIB, ribociclib.
FIG 4.Gene expression differences across the intrinsic subtypes of breast cancer. (A) Unsupervised clustering using 152 genes across the prototypical PAM50 subtypes and the subtypes identified in the ML program. Sample and gene expression data from tumor samples of the same subtype have been combined into a single category. For each gene in a class, we calculated the standardized mean difference between the gene's expression in that class and its overall mean expression in the data set using a five-class Significance Analysis of Microarrays on the ML data set. Red represents relatively high gene expression, green represents relatively low gene expression, and black represents median gene expression. (B) Expression of selected breast cancer–related genes, obtained from the 152-gene list, across the prototypical PAM50 subtypes and the subtypes identified in the ML program. AR, androgen receptor; CCNE1, cyclin E1; CDKN2A, p16/cyclin-dependent kinase inhibitor 2A; EGFR, epidermal growth factor receptor; ESR1, estrogen receptor 1; FOXA1, forkhead box A1; HER2, human epidermal growth factor receptor 2; HER2E, HER2-enriched; LumA, luminal A; LumB, luminal B; ML, MONALEESA; PGR, progesterone receptor.