Characterization of Immune-Based Molecular Subtypes and Prognostic Model in Prostate Adenocarcinoma.

Genes (Basel)

Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China.

Published: June 2022

AI Article Synopsis

  • Prostate adenocarcinoma (PRAD), the most prevalent type of cancer in men, involves an analysis of immune-related genes to identify distinct molecular subtypes.
  • Two immune-based subtypes, C1 and C2, were identified, showing different characteristics and survival rates, with C2 showing better outcomes.
  • A robust prognostic model based on four key genes was developed, aiding in personalized treatment plans and enhancing precision medicine approaches for prostate cancer.

Article Abstract

Prostate adenocarcinoma (PRAD), also named prostate cancer, the most common visceral malignancy, is diagnosed in male individuals. Herein, in order to obtain immune-based subtypes, we performed an integrative analysis to characterize molecular subtypes based on immune-related genes, and further discuss the potential features and differences between identified subtypes. Simultaneously, we also construct an immune-based risk model to assess cancer prognosis. Our findings showed that the two subtypes, C1 and C2, could be characterized, and the two subtypes showed different characteristics that could clearly describe the heterogeneity of immune microenvironments. The C2 subtype presented a better survival rate than that in the C1 subtype. Further, we constructed an immune-based prognostic model based on four screened abnormally expressed genes, and they were selected as predictors of the robust prognostic model (AUC = 0.968). Our studies provide reference for characterization of molecular subtypes and immunotherapeutic agents against prostate cancer, and the developed robust and useful immune-based prognostic model can contribute to cancer prognosis and provide reference for the individualized treatment plan and health resource utilization. These findings further promote the development and application of precision medicine in prostate cancer.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223199PMC
http://dx.doi.org/10.3390/genes13061087DOI Listing

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