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Risk subtyping and prognostic assessment of prostate cancer based on consensus genes.
- Source :
-
Communications biology [Commun Biol] 2022 Mar 15; Vol. 5 (1), pp. 233. Date of Electronic Publication: 2022 Mar 15. - Publication Year :
- 2022
-
Abstract
- Prostate cancer (PCa) is the most frequent malignancy in male urogenital system around worldwide. We performed molecular subtyping and prognostic assessment based on consensus genes in patients with PCa. Five cohorts containing 1,046 PCa patients with RNA expression profiles and recorded clinical follow-up information were included. Univariate, multivariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression were used to select prognostic genes and establish the signature. Immunohistochemistry staining, cell proliferation, migration and invasion assays were used to assess the biological functions of key genes. Thirty-nine intersecting consensus prognostic genes from five independent cohorts were identified. Subsequently, an eleven-consensus-gene classifier was established. In addition, multivariate Cox regression analyses showed that the classifier served as an independent indicator of recurrence-free survival in three of the five cohorts. Combined receiver operating characteristic (ROC) analysis achieved synthesized effects by combining the classifier with clinicopathological features in four of five cohorts. SRD5A2 inhibits cell proliferation, while ITGA11 promotes cell migration and invasion, possibly through the PI3K/AKT signaling pathway. To conclude, we established and validated an eleven-consensus-gene classifier, which may add prognostic value to the currently available staging system.<br /> (© 2022. The Author(s).)
- Subjects :
- 3-Oxo-5-alpha-Steroid 4-Dehydrogenase metabolism
Consensus
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Kaplan-Meier Estimate
Male
Membrane Proteins metabolism
Prognosis
Phosphatidylinositol 3-Kinases metabolism
Prostatic Neoplasms diagnosis
Prostatic Neoplasms genetics
Prostatic Neoplasms metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 2399-3642
- Volume :
- 5
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Communications biology
- Publication Type :
- Academic Journal
- Accession number :
- 35293897
- Full Text :
- https://doi.org/10.1038/s42003-022-03164-8