ArticleCancer research communications2025
MYC and HSF1 Cooperate to Drive Sensitivity to Polo-like Kinase 1 Inhibitor Volasertib in High-grade Serous Ovarian Cancer.
Article in Cancer research communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- PTEN deficiency confers sensitivity to ATR inhibitor-based treatment in high-grade serous ovarian cancer.The Journal of clinical investigation · 2026Article
- Heat shock transcription factors in development and disease.Disease models & mechanisms · 2026Review
- Clinical relevance of PLK1 in epithelial ovarian cancer.Frontiers in pharmacology · 2025Review
Corrections and comments
- Update of
Authors and funding
11 authors.
Funding
Abstract
abstractOvarian cancer is a deadly gynecologic disease with frequent recurrence. Current treatments for patients include platinum-based therapy regimens with PARP inhibitors specific for homologous recombination–deficient high-grade serous ovarian cancers (HGSOC). Despite initial effectiveness, patients inevitably develop disease progression as tumor cells acquire resistance. Toward the development of new therapeutic avenues, we describe a gene amplification involving both heat shock factor 1 (HSF1) and MYC, wherein these two genes are co-amplified in more than 30% of patients with HGSOC. We further found that HSF1 and MYC transcriptional activities were highly correlated with human HGSOC tumors and cell lines, suggesting that they may cooperate in the disease. CUT&RUN sequencing for HSF1 and MYC revealed overlapping HSF1 and MYC binding throughout the genome. Moreover, the binding peaks of both transcription factors in HGSOC cells were nearly identical, and a protein–protein interaction between HSF1 and MYC was detected, supporting molecular cooperation. Supporting a functional cooperation of these two transcription factors, the growth of HGSOC cells with the co-amplification was dependent on both HSF1 and MYC. To identify a therapeutic target that could take advantage of this unique HSF1 and MYC dependency, polo-like kinase 1 (PLK1) was correlated with HSF1 and MYC in HGSOC specimens. Targeting PLK1 with volasertib revealed a greater than 200-fold increased potency in HSF1–MYC co-amplified HGSOC cells compared with those with wild-type HSF1 and MYC copy numbers. Although the success of volasertib and other PLK1 inhibitors in clinical trials has been modest, the current study suggests that targeting PLK1 using a precision medicine approach based on HSF1–MYC co-amplification as a biomarker in HGSOC would improve therapy response and patient outcomes. SIGNIFICANCE: We show that HSF1 and MYC genes are co-amplified in more than 30% of HGSOC and demonstrate that HSF1 and MYC functionally cooperate to drive the growth of HGSOC cells. This work provides the foundation for HSF1 and MYC co-amplification as a biomarker for treatment efficacy of the polo-like kinase 1 inhibitor volasertib in HGSOC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.