Molecular cancer, 2019-02, Vol.18 (1), p.19-19, Article 19
2019
Details
- Autor(en) / Beteiligte
- Titel
- Transcriptomic expression profiling identifies ITGBL1, an epithelial to mesenchymal transition (EMT)-associated gene, is a promising recurrence prediction biomarker in colorectal cancer
- Ist Teil von
- Molecular cancer, 2019-02, Vol.18 (1), p.19-19, Article 19
- Ort / Verlag
- England: BioMed Central Ltd
- Erscheinungsjahr
- 2019
- Link zum Volltext
- Quelle
- SpringerLink (Online service)
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1476-4598eISSN: 1476-4598DOI: 10.1186/s12943-019-0945-yTitel-ID: cdi_doaj_primary_oai_doaj_org_article_7c4322dd0b0548ef8bcbf08186cf78f8
- Format
- –
- Schlagworte
- Aged, Analysis, Bioindicators, Biomarkers, Cancer, Cancer genetics, Cancer research, Chemotherapy, Cohort Studies, Colorectal cancer, Colorectal carcinoma, Colorectal Neoplasms - diagnosis, Colorectal Neoplasms - genetics, Colorectal Neoplasms - mortality, Colorectal Neoplasms - pathology, Criminal investigation, Datasets, Datasets as Topic, Epithelial mesenchymal transition, Epithelial-Mesenchymal Transition - genetics, Female, Gastroenterology, Gene expression, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Gene set enrichment analysis, Genes, Genomes, Genomics, Health risks, Humans, Integrin beta1 - genetics, Integrin beta1 - metabolism, Integrins, ITGBL1, Letter to the Editor, Male, Medical prognosis, Medical research, Medical schools, Mesenchyme, Metastasis, MicroRNAs, Middle Aged, Neoplasm Recurrence, Local - diagnosis, Neoplasm Recurrence, Local - genetics, Neoplasm Recurrence, Local - mortality, Neoplasm Recurrence, Local - pathology, Neoplasm Staging, Patients, Prediction models, Prognosis, Prognostic marker, Proportional Hazards Models, Recurrence (Disease), Ribonucleic acid, RNA, Signal Transduction, Stem cells, Surgery, Survival, Systematic review, Transcriptome