A TP53-Associated Immune Prognostic Signature for the Prediction of Overall Survival and Therapeutic Responses in Muscle-Invasive Bladder Cancer

Front Immunol. 2020 Dec 17:11:590618. doi: 10.3389/fimmu.2020.590618. eCollection 2020.

Abstract

Background: TP53 gene mutation is one of the most common mutations in human bladder cancer (BC) and has been implicated in the progression and prognosis of BC.

Methods: RNA sequencing data and TP53 mutation data in different populations and platforms were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database to determine and validate a TP53-associated immune prognostic signature (TIPS) based on differentially expressed immune-related genes (DEIGs) between muscle-invasive bladder cancer (MIBC) patients with and without TP53 mutations.

Results: A total of 99 DEIGs were identified based on TP53 mutation status. TIPS including ORM1, PTHLH, and CTSE were developed and validated to identify high-risk prognostic group who had a poorer prognosis than low-risk prognostic group in TCGA and GEO database. The high-risk prognostic group were characterized by a higher abundance of regulatory T cells, myeloid-derived suppressor cells, and tumor-associated macrophages than the low-risk prognostic group. Moreover, they exhibited a lower abundance of CD56bright NK cells, higher expression of CTLA4, LAG3, PDCD1, TIGIT, and HAVCR2, as well as being more likely to respond to anti-PD-1, and neoadjuvant chemotherapy than the low-risk prognostic group. Based on TIPS and other clinical characteristics, a nomogram was constructed for clinical use.

Conclusion: TIPS derived from TP53 mutation status is a potential prognostic signature or therapeutic target but additional prospective studies are necessary to confirm this potential.

Keywords: TP53 mutation; immune prognostic signature; muscle-invasive bladder cancer; nomogram; the cancer genome atlas (TCGA) and gene expression omnibus (GEO) database.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Antineoplastic Agents, Immunological / therapeutic use
  • Biomarkers, Tumor / genetics
  • CTLA-4 Antigen / antagonists & inhibitors
  • Female
  • Gene Expression Regulation, Neoplastic / drug effects
  • Humans
  • Immune Checkpoint Inhibitors / therapeutic use
  • Kaplan-Meier Estimate
  • Male
  • Muscle Neoplasms / genetics*
  • Muscle Neoplasms / immunology
  • Muscle Neoplasms / mortality
  • Muscle Neoplasms / secondary
  • Mutation
  • Prognosis
  • Programmed Cell Death 1 Receptor / antagonists & inhibitors
  • Proportional Hazards Models
  • Tumor Suppressor Protein p53 / genetics*
  • Urinary Bladder Neoplasms / genetics*
  • Urinary Bladder Neoplasms / immunology
  • Urinary Bladder Neoplasms / mortality
  • Urinary Bladder Neoplasms / pathology

Substances

  • Antineoplastic Agents, Immunological
  • Biomarkers, Tumor
  • CTLA-4 Antigen
  • CTLA4 protein, human
  • Immune Checkpoint Inhibitors
  • PDCD1 protein, human
  • Programmed Cell Death 1 Receptor
  • TP53 protein, human
  • Tumor Suppressor Protein p53