Transcriptomic expression profiling identifies ITGBL1, an epithelial to mesenchymal transition (EMT)-associated gene, is a promising recurrence prediction biomarker in colorectal cancer

Autor: Takatoshi Matsuyama, Toshiaki Ishikawa, Naoki Takahashi, Yasuhide Yamada, Masamichi Yasuno, Tatsuyuki Kawano, Hiroyuki Uetake, Ajay Goel
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Molecular Cancer, Vol 18, Iss 1, Pp 1-7 (2019)
Druh dokumentu: article
ISSN: 1476-4598
DOI: 10.1186/s12943-019-0945-y
Popis: Abstract The current histopathological risk-stratification criteria in colorectal cancer (CRC) patients following a curative surgery remain inadequate. In this study, we undertook a systematic, genomewide, biomarker discovery approach to identify and validate key EMT-associated genes that may facilitate recurrence prediction in CRC. Genomewide RNA expression profiling results from two datasets (GSE17538; N = 173 and GSE41258; N = 307) were used for biomarker discovery. These results were independently validated in two, large, clinical cohorts (testing cohort; N = 201 and validation cohort; N = 468). We performed Gene Set Enrichment Analysis (GSEA) for understanding the function of the candidate markers, and evaluated their correlation with the mesenchymal CMS4 subtype. We identified integrin subunit beta like 1 (ITGBL1) as a promising candidate biomarker, and its high expression associated with poor overall survival (OS) in stage I-IV patients and relapse-free survival (RFS) in stage I-III patients. Subgroup validation in multiple independent patient cohorts confirmed these findings, and demonstrated that high ITGBL1 expression correlated with shorter RFS in stage II patients. We developed a RFS prediction model which robustly predicted RFS (the area under the receiver operating curve (AUROC): 0.74; hazard ratio (HR): 2.72) in CRC patients. ITGBL1 is a promising EMT-associated biomarker for recurrence prediction in CRC patients, which may contribute to improved risk-stratification in CRC.
Databáze: Directory of Open Access Journals
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