@article {YEH4593, author = {MING-HSIN YEH and YAU-JIN TZENG and TING-YING FU and JUN-JIE YOU and HONG-TAI CHANG and LUO-PING GER and KUO-WANG TSAI}, title = {Extracellular Matrix{\textendash}receptor Interaction Signaling Genes Associated with Inferior Breast Cancer Survival}, volume = {38}, number = {8}, pages = {4593--4605}, year = {2018}, doi = {10.21873/anticanres.12764}, publisher = {International Institute of Anticancer Research}, abstract = {Background/Aim: Breast cancer is a common type of cancer in women, and metastasis frequently leads to therapy failure. Using next-generation sequencing (NGS), we aspired to identify the optimal differentially expressed genes (DEGs) for use as prognostic biomarkers for breast cancer. Materials and Methods: NGS was used to determine transcriptome profiles in breast cancer tissues and their corresponding adjacent normal tissues from three patients with breast cancer. Results: Herein, 15 DEGs (fold change \>4 and \<0.25) involved in extracellular matrix (ECM){\textendash}receptor interaction signaling were identified through NGS. Among them, our data indicated that high HMMR expression levels were correlated with a poor pathological stage (p\<0.001) and large tumor size (p\<0.001), whereas high COL6A6 and Reelin (RELN) expression levels were significantly correlated with an early pathological stage (COL6A6: p=0.003 and RELN: p\<0.001). Multivariate analysis revealed that high HMMR and SDC1 expression levels were significantly correlated with poor overall survival (OS; HMMR: adjusted hazard ratio [aHR] 1.93, 95\% confidence interval [CI]=1.10-3.41, p=0.023; SDC1: [aHR] 2.47, 95\%CI=1.28-4.77, p=0.007) for breast cancer. Combined, the effects of HMMR and SDC1 showed a significant correlation with poor OS for patients with breast cancer (high expression for both HMMR and SDC1: [aHR] 3.29, 95\%CI=1.52-7.12, p=0.003). Conclusion: These findings suggest that HMMR and SDC1 involved in the ECM{\textendash}receptor interaction signaling pathway could act as effective independent prognostic biomarkers for breast ductal carcinoma.}, issn = {0250-7005}, URL = {https://ar.iiarjournals.org/content/38/8/4593}, eprint = {https://ar.iiarjournals.org/content/38/8/4593.full.pdf}, journal = {Anticancer Research} }