Prognostic value of tumour microenvironment‐related genes by TCGA database in rectal cancer
| Autor: | Yi Liu, Jiantao Zhang, Chao Li, Tao Liu, Didi Zuo |
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| Rok vydání: | 2021 |
| Předmět: |
Male
0301 basic medicine Stromal cell Databases Factual Lymphovascular invasion Colorectal cancer overall survival Human Protein Atlas Biology computer.software_genre Metastasis 03 medical and health sciences 0302 clinical medicine ESTIMATE algorithm Biomarkers Tumor Tumor Microenvironment medicine Humans Protein Interaction Maps rectal cancer Gene Database Rectal Neoplasms ADAM23 Computational Biology Original Articles Cell Biology Middle Aged Prognosis medicine.disease Gene Expression Regulation Neoplastic Survival Rate 030104 developmental biology 030220 oncology & carcinogenesis Molecular Medicine Original Article Female tumour microenvironment Transcriptome computer Algorithms Follow-Up Studies IRF4 |
| Zdroj: | Journal of Cellular and Molecular Medicine |
| ISSN: | 1582-4934 1582-1838 |
| Popis: | Rectal cancer is a common malignant tumour and the progression is highly affected by the tumour microenvironment (TME). This study intended to assess the relationship between TME and prognosis, and explore prognostic genes of rectal cancer. The gene expression profile of rectal cancer was obtained from TCGA and immune/stromal scores were calculated by Estimation of Stromal and Immune cells in Malignant Tumors using Expression data (ESTIMATE) algorithm. The correlation between immune/stromal scores and survival time as well as clinical characteristics were evaluated. Differentially expressed genes (DEGs) were identified according to the stromal/immune scores, and the functional enrichment analyses were conducted to explore functions and pathways of DEGs. The survival analyses were conducted to clarify the DEGs with prognostic value, and the protein‐protein interaction (PPI) network was performed to explore the interrelation of prognostic DEGs. Finally, we validated prognostic DEGs using data from the Gene Expression Omnibus (GEO) database by PrognoScan, and we verified these genes at the protein levels using the Human Protein Atlas (HPA) databases. We downloaded gene expression profiles of 83 rectal cancer patients from The Cancer Genome Atlas (TCGA) database. The Kaplan‐Meier plot demonstrated that low‐immune score was associated with worse clinical outcome (P = .034), metastasis (M1 vs. M0, P = .031) and lymphatic invasion (+ vs. ‐, P |
| Databáze: | OpenAIRE |
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