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Immune gene expression and response to chemotherapy in advanced breast cancer.
- Source :
- British Journal of Cancer; 2/20/2018, Vol. 118 Issue 4, p480-488, 9p, 1 Chart, 5 Graphs
- Publication Year :
- 2018
-
Abstract
- <bold>Background: </bold>Transcriptomic profiles have shown promise as predictors of response to neoadjuvant chemotherapy in breast cancer (BC). This study aimed to explore their predictive value in the advanced BC (ABC) setting.<bold>Methods: </bold>In a Phase 3 trial of first-line chemotherapy in ABC, a fine needle aspiration biopsy (FNAB) was obtained at baseline. Intrinsic molecular subtypes and gene modules related to immune response, proliferation, oestrogen receptor (ER) signalling and recurring genetic alterations were analysed for association with objective response to chemotherapy. Gene-set enrichment analysis (GSEA) of responders vs non-responders was performed independently. Lymphocytes were enumerated in FNAB smears and the absolute abundance of immune cell types was calculated using the Microenvironment Cell Populations counter method.<bold>Results: </bold>Gene expression data were available for 109 patients. Objective response to chemotherapy was statistically significantly associated with an immune module score (odds ratio (OR)=1.62; 95% confidence interval (CI), 1.03-2.64; P=0.04). Subgroup analysis showed that this association was restricted to patients with ER-positive or luminal tumours (OR=3.54; 95%, 1.43-10.86; P=0.012 and P for interaction=0.04). Gene-set enrichment analysis confirmed that in these subgroups, immune-related gene sets were enriched in responders.<bold>Conclusions: </bold>Immune-related transcriptional signatures may predict response to chemotherapy in ER-positive and luminal ABC. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANTINEOPLASTIC agents
BREAST tumors
COMPARATIVE studies
GENES
RESEARCH methodology
MEDICAL cooperation
MOLECULAR structure
NEEDLE biopsy
PACLITAXEL
RESEARCH
STATISTICAL sampling
SURVIVAL analysis (Biometry)
EVALUATION research
RANDOMIZED controlled trials
TREATMENT effectiveness
EPIRUBICIN
GENE expression profiling
PHARMACODYNAMICS
Subjects
Details
- Language :
- English
- ISSN :
- 00070920
- Volume :
- 118
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- British Journal of Cancer
- Publication Type :
- Academic Journal
- Accession number :
- 128116547
- Full Text :
- https://doi.org/10.1038/bjc.2017.446