Multilayered Regulatory Dynamics of p53 Mutations and Platinum Resistance in Ovarian Cancer

Liling Hu1, Hanchen Zou1, LvYing Peng2

  • 1MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.

PubMed

Insights

TP53 mutations alter gene expression, but protein levels remain stable due to buffering. This study reveals how transcription, translation, and protein stability interact in ovarian cancer, identifying TP53 mutation-linked platinum resistance factors.

Area of Science:

  • Molecular Biology
  • Genomics
  • Proteomics

Background:

  • TP53 mutations are key drivers of oncogenic phenotypes.
  • Post-transcriptional regulation, especially translation, is underexplored in TP53 mutation research.

Purpose of the Study:

  • To comprehensively analyze transcriptomics, translatiomics, and proteomics in ovarian cancer cells with TP53 mutations.
  • To investigate the impact of TP53 missense mutations on gene dosage and protein abundance.
  • To identify TP53 mutation-associated factors in platinum-resistant ovarian cancer.

Main Methods:

  • Analysis of transcriptomics, translatiomics, and proteomics in SKOV3 ovarian cancer cell line.
  • Comparison of wild-type vs. mutant TP53 (R175H, R273H, Y220C) effects.
  • Clinical proteomic analysis of platinum-resistant ovarian cancer tissues.

Main Results:

  • Transcriptional differences due to TP53 mutations are significantly buffered at translational and post-translational levels, leading to stable protein abundances.
  • Protein abundance is a result of combined contributions from transcription, translation, and protein stability.
  • TP53 mutations are linked to tumor-specific factors and acquired resistance pathways in platinum-resistant ovarian cancer.

Conclusions:

  • TP53 mutations exhibit complex regulatory landscapes involving multiple layers of control.
  • Understanding these multilayered regulations is crucial for identifying therapeutic targets.
  • TP53 mutations may serve as predictive biomarkers for platinum resistance in ovarian cancer.

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