Investigating the prognostic value of mTORC1 signaling in bladder cancer via bioinformatics evaluation

Xin Yu1, Wenge Li2, Shengrong Sun3

  • 1Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, 238 Ziyang Road, Wuhan, 430060, Hubei Province, People's Republic of China.

Scientific Reports
|December 12, 2023
PubMed

Insights

Elevated mammalian target of rapamycin complex 1 (mTORC1) signaling indicates poor prognosis in bladder cancer. However, higher mTORC1 activation is linked to better immunotherapy response and offers new biomarkers for predicting patient outcomes.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Bladder cancer is a heterogeneous malignancy requiring personalized treatment strategies.
  • Mammalian target of rapamycin complex 1 (mTORC1) signaling is dysregulated in a subset of bladder cancers.
  • Identifying prognostic biomarkers is crucial for optimizing bladder cancer management.

Purpose of the Study:

  • To investigate the prognostic significance of mTORC1 signaling in bladder cancer.
  • To explore the association of mTORC1 with tumor characteristics and patient outcomes.
  • To develop a predictive signature based on mTORC1 activity.

Main Methods:

  • Bioinformatics analysis integrating transcriptomic, mutation, and clinical data.
  • Calculation of mTORC1 scores and analysis of differentially expressed genes (DEGs).
  • Assessment of differentiation, immune infiltration, and metabolic activity related to mTORC1.

Main Results:

  • Elevated mTORC1 levels are associated with adverse prognosis and Basal-type bladder cancer.
  • Increased mTORC1 activation correlates with pro-carcinogenic metabolism.
  • Patients with high mTORC1 activation showed enhanced response to immunotherapy.

Conclusions:

  • mTORC1 signaling is a significant prognostic indicator in bladder cancer.
  • mTORC1 activity influences tumor metabolism and immune response.
  • An mTORC1-related signature can predict bladder cancer prognosis and offers novel biomarkers.