Bone metastasis-related signaling pathways in breast cancers stratified by estrogen receptor status

Journal of Cancer
Naoki HayashiNaoto T Ueno

Abstract

Background: Breast cancer bone metastasis (BCBM)-specific genes have been reported without considering biological differences based on estrogen receptor (ER) status. The aims of this study were to identify BCBM-specific genes using our patient dataset and validate previously reported BCBM-specific genes, and to determine whether ER-status-related biological differences matter in identification of BCBM-specific genes. Methods: We used Affymetrix GeneChips to analyze 365 primary human epidermal growth factor receptor 2 (HER2)-negative invasive breast cancer specimens. Genes that were differentially expressed between patients who developed bone metastasis and those who developed non-bone metastasis were identified using Cox proportional hazards model, and differential expression of gene sets was assessed using gene set analysis. We performed gene set analysis to determine whether biological function associated with bone metastasis were different by ER status using 2,246 functionally annotated gene sets assembled from Gene Ontology data base. Results: Among 16,712 probe sets, 592 were overexpressed in the bone metastasis cohort compared to the non-bone-metastasis cohort (false discovery rate ≤ 0.05). However, no BCBM-specific genes...Continue Reading

Citations

Jun 6, 2018·Cancers·Alexander H JinnahBethany A Kerr
Mar 1, 2021·Biochimica Et Biophysica Acta. Reviews on Cancer·Alex TuffourHaifeng Shi
Nov 1, 2018·Biomedicine Hub·Elisa M SchunkertKurt Zänker

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Methods Mentioned

BETA
biopsy
chips

Software Mentioned

Ingenuity pathway analysis ( IPA )
Ingenuity
BRB
ArrayTools
R
gene analysis ( GSA )

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