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SLC11A1 predicts the overall survival of patients with colorectal cancer.
Hsu, Hung-Chih; Lee, Yun-Shien; Imbang, Titilianty I; Liu, Ting-Chia; Hung, Shuen-Iu.
  • Hsu HC; Division of Hematology-Oncology, Chang Gung Memorial Hospital Linkou Branch, Taoyuan 333, Taiwan.
  • Lee YS; College of Medicine, Chang Gung University Linkou, Taoyuan 333, Taiwan.
  • Imbang TI; Genomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital Linkou Branch, Taoyuan 333, Taiwan.
  • Liu TC; Department of Biotechnology, Ming-Chuan University Taoyuan 333, Taiwan.
  • Hung SI; Cancer Vaccine and Immune Cell Therapy Core Lab, Chang Gung Immunology Consortium, Department of Medical Research, Chang Gung Memorial Hospital Linkou Branch, Taoyuan 333, Taiwan.
Am J Cancer Res ; 14(6): 2839-2851, 2024.
Article en En | MEDLINE | ID: mdl-39005670
ABSTRACT
Colorectal cancer (CRC) remains a significant contributor to cancer-related mortality, emphasizing the critical need for identifying biomarkers that can improve clinical management and patient outcomes. In this retrospective study, we analyzed tumor samples from 25 patients with metastatic CRC, categorized based on long-term (> 50 months) or short-term (< 10 months) survival. Employing the PanCancer Immune Profile Panel, encompassing 770 genes, in the discovery dataset, we identified 54 differentially expressed genes (DEGs) within the tumor microenvironment of metastatic CRC. Validation of potential biomarkers was performed using two publicly available RNA-based sequencing datasets (TCGA 1 (n=371) and TCGA 2 (n=566)). Univariate COX regression unveiled that three significant biomarkers were associated with overall survival in CRC within the discovery dataset, which were SLC11A1 (hazard ratio (HR) 4.09, P=0.012), TNFSF11 (HR 3.67, P=0.02), and MEF2C (HR 0.34, P=0.037). Kaplan-Meier survival curve analyses confirmed the correlation between SLC11A1 expression and overall survival in CRC across the discovery set (P=0.0071) and the two independent datasets (TCGA 1 (P=0.0016) and TCGA 2 (P=0.025)). Receiver operating characteristic curve analysis demonstrated an area under the curve ranging from 0.64 to 0.76, with sensitivity of 59% to 87% and specificity of 60% to 73% for predicting CRC overall survival. Immunohistochemistry staining further validated the strong expression of SLC11A1 protein in CRC tumor cells, with high expression correlating with short-term survival. These findings suggest that SLC11A1 serves as a predictive biomarker for overall survival in CRC patients.
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