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Updated: Jan 11, 2026

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
Published on: August 2, 2024
Distinct functional heterogeneity of TP53 R175 mutations in platinum-resistant ovarian cancer: unveiling molecular
Yufeng Liu1, Zhiguo Zheng2, Maowei Ni2
1MOE Key Laboratory of Biosystems Homeostasis & Protection, Institute of Biophysics, College of Life Science, Zhejiang University, Hangzhou, China.
Abstract:
Ovarian cancer (OC) is a highly aggressive malignancy in women, and platinum resistance remains a major clinical obstacle. p53 mutations are prevalent in OC and exhibit functional heterogeneity that is associated with therapeutic response and disease progression. However, the roles and mechanisms underlying the functional heterogeneity of p53 mutations in platinum-resistant OC remain elusive. This investigation delineated that p53 mutations within the Loop 2, Loop 3, and β-strand S10 regions were closely linked to platinum resistance. In particular, functional assays unveiled that p53R175H and p53R175G mutations at Arg175 revealed distinct roles in tumor cell migration and drug resistance, with p53R175G conferring resistance to agents targeting p53R175H. Through multi-omics sequencing analysis, it was discerned that p53R175H and p53R175G promoted tumor progression through distinct cofactors and regulatory networks. p53R175H mediated upregulation of extracellular matrix-related genes, whereas p53R175G activated pathways associated with cytokine receptor interaction and membrane trafficking. Notably, the chromatin remodeling protein CHD1 selectively interacted with p53R175G, but not p53R175H, and regulated the transcriptional activity of p53R175G, including target genes such as IL7R. Moreover, CHD1 knockdown or pharmacological inhibition of IL7R synergistically enhanced platinum sensitivity, suggesting promising combination therapies specifically targeting the R175G mutation. The findings revealed that p53 mutations at the same residue exhibited distinct functional properties and relied on unique cofactors, offering valuable insights for precision therapy in OC.
Insights
p53 mutations in ovarian cancer (OC) show distinct drug resistance patterns. The R175G mutation confers resistance to therapies targeting R175H, highlighting unique cofactor dependencies for precision medicine in OC.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Ovarian cancer (OC) is a lethal malignancy with significant platinum resistance.
- p53 mutations are common in OC and contribute to therapeutic resistance and disease progression.
- The functional heterogeneity of p53 mutations in platinum-resistant OC is not well understood.
Purpose of the Study:
- To investigate the distinct roles and mechanisms of p53 mutations in platinum-resistant ovarian cancer.
- To identify specific p53 mutation profiles linked to platinum resistance.
- To explore potential therapeutic strategies targeting p53 mutation heterogeneity.
Main Methods:
- Functional assays to assess tumor cell migration and drug resistance.
- Multi-omics sequencing (genomics, transcriptomics) to analyze molecular mechanisms.
- Analysis of cofactor interactions, including chromatin remodeling proteins.
Main Results:
- p53 mutations in Loop 2, Loop 3, and β-strand S10 regions correlate with platinum resistance.
- p53 R175H and R175G mutations exhibit distinct effects on cell migration and drug resistance.
- p53 R175G confers resistance to agents targeting p53 R175H via distinct regulatory networks and cofactor interactions (e.g., CHD1).
- CHD1 interaction with p53 R175G regulates IL7R expression; inhibiting IL7R or CHD1 enhances platinum sensitivity.
Conclusions:
- p53 mutations at the same residue (Arg175) can have functionally distinct properties and cofactor dependencies.
- Distinct molecular mechanisms driven by p53 R175H and R175G mutations offer opportunities for targeted therapies.
- Targeting the CHD1-p53 R175G-IL7R axis presents a promising strategy for overcoming platinum resistance in specific OC patient subsets.
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