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Immunophenotype‐associated gene signature in ductal breast tumors varies by receptor subtype, but the expression of individual signature genes remains consistent
- Source :
- Cancer Medicine, Vol 10, Iss 16, Pp 5712-5720 (2021), Cancer Medicine
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Background In silico deconvolution of invasive immune cell infiltration in bulk breast tumors helps characterize immunophenotype, expands treatment options, and influences survival endpoints. In this study, we identify the differential expression (DE) of the LM22 signature to classify immune‐rich and ‐poor breast tumors and evaluate immune infiltration by receptor subtype and lymph node metastasis. Methods Using publicly available data, we applied the CIBERSORT algorithm to estimate immune cells infiltrating the tumor into immune‐rich and immune‐poor groups. We then tested the association of receptor subtype and nodal status with immune‐rich/poor phenotype. We used DE to test individual signature genes and over‐representation analysis for related pathways. Results CCL19 and CXCL9 expression differed between rich/poor signature groups regardless of subtype. Overexpression of CHI3L2 and FES was observed in triple negative breast cancers (TNBCs) relative to other subtypes in immune‐rich tumors. Non‐signature genes, LYZ, C1QB, CORO1A, EVI2B, GBP1, PSMB9, and CD52 were consistently overexpressed in immune‐rich tumors, and SCUBE2 and GRIA2 were associated with immune‐poor tumors. Immune‐rich tumors had significant upregulation of genes/pathways while none were identified in immune‐poor tumors. Conclusions Overall, the proportion of immune‐rich/poor tumors differed by subtype; however, a subset of 10 LM22 genes that marked immune‐rich status remained the same across subtype. Non‐LM22 genes differentially expressed between the phenotypes suggest that the biologic processes responsible for immune‐poor phenotype are not yet well characterized.<br />Our approach classified 2369 patients into two groups (immune‐rich, and immune‐poor) using an immune cell expression signature. The overall frequency of immune‐rich versus immune‐poor tumors differed by receptor subtype, however the specific signature genes remained the same, suggesting that signature expression is a stronger determinant of immune infiltration than receptor subtype.
- Subjects :
- 0301 basic medicine
Cancer Research
Bioinformatics
animal diseases
Datasets as Topic
Breast Neoplasms
chemical and pharmacologic phenomena
Immunophenotyping
Transcriptome
transcriptomics
03 medical and health sciences
Lymphocytes, Tumor-Infiltrating
breast cancer
0302 clinical medicine
Breast cancer
Immune system
Biomarkers, Tumor
medicine
Humans
Radiology, Nuclear Medicine and imaging
GRIA2
Research Articles
RC254-282
biology
Gene Expression Profiling
tumor‐infiltrating immune cells
Carcinoma, Ductal, Breast
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
biochemical phenomena, metabolism, and nutrition
Gene signature
medicine.disease
microenvironment
Phenotype
Up-Regulation
Gene Expression Regulation, Neoplastic
030104 developmental biology
Oncology
030220 oncology & carcinogenesis
Cancer research
biology.protein
bacteria
CXCL9
Female
Research Article
Subjects
Details
- ISSN :
- 20457634
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Cancer Medicine
- Accession number :
- edsair.doi.dedup.....7714f8d0b187993d03bddc3f47cf95e3
- Full Text :
- https://doi.org/10.1002/cam4.4095