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Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling
- Source :
- BMC Cancer, BMC Cancer, Vol 17, Iss 1, Pp 1-11 (2017)
- Publication Year :
- 2017
- Publisher :
- BioMed Central, 2017.
-
Abstract
- Background Transcriptomic profiling of breast tumors provides opportunity for subtyping and molecular-based patient stratification. In diagnostic applications the specimen profiled should be representative of the expression profile of the whole tumor and ideally capture properties of the most aggressive part of the tumor. However, breast cancers commonly exhibit intra-tumor heterogeneity at molecular, genomic and in phenotypic level, which can arise during tumor evolution. Currently it is not established to what extent a random sampling approach may influence molecular breast cancer diagnostics. Methods In this study we applied RNA-sequencing to quantify gene expression in 43 pieces (2-5 pieces per tumor) from 12 breast tumors (Cohort 1). We determined molecular subtype and transcriptomic grade for all tumor pieces and analysed to what extent pieces originating from the same tumors are concordant or discordant with each other. Additionally, we validated our finding in an independent cohort consisting of 19 pieces (2-6 pieces per tumor) from 6 breast tumors (Cohort 2) profiled using microarray technique. Exome sequencing was also performed on this cohort, to investigate the extent of intra-tumor genomic heterogeneity versus the intra-tumor molecular subtype classifications. Results Molecular subtyping was consistent in 11 out of 12 tumors and transcriptomic grade assignments were consistent in 11 out of 12 tumors as well. Molecular subtype predictions revealed consistent subtypes in four out of six patients in this cohort 2. Interestingly, we observed extensive intra-tumor genomic heterogeneity in these tumor pieces but not in their molecular subtype classifications. Conclusions Our results suggest that macroscopic intra-tumoral transcriptomic heterogeneity is limited and unlikely to have an impact on molecular diagnostics for most patients. Electronic supplementary material The online version of this article (10.1186/s12885-017-3815-2) contains supplementary material, which is available to authorized users.
- Subjects :
- HISTOLOGIC GRADE
0301 basic medicine
Cancer Research
Pathology
medicine.medical_specialty
Microarray
Molecular subtypes
3122 Cancers
Breast Neoplasms
Computational biology
Biology
lcsh:RC254-282
SUBTYPES
Transcriptome
Intra-tumor transcriptomic heterogeneity
03 medical and health sciences
Genetic Heterogeneity
0302 clinical medicine
Breast cancer
Surgical oncology
Genetics
medicine
Molecular diagnostics
Biomarkers, Tumor
Humans
ASSAY
Gene Regulatory Networks
TREATMENT DECISIONS
Exome sequencing
GENE-EXPRESSION DATA
Sequence Analysis, RNA
Gene Expression Profiling
SIGNATURE
QUANTIFICATION
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
medicine.disease
Subtyping
3. Good health
Gene Expression Regulation, Neoplastic
ESTROGEN-RECEPTOR
030104 developmental biology
Oncology
030220 oncology & carcinogenesis
Cohort
Female
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 14712407
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- BMC Cancer
- Accession number :
- edsair.doi.dedup.....f457d8ef3495a0c0d444bd31409578b6