Evidence map›Paper›PMID 42186004›Full record

ArticleBMC cancer2026

STAT1 and STAT3 signaling in ovarian cancer: prognostic biomarkers and therapeutic targets.

Esther P B Rodman, Aditya Bhagwate, Hannah M Smith, Michael J Emch, Nicole A Pearson, Zhifu Sun, John R Hawse

Abstract read
In one paragraph

Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Esther P B RodmanDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Aditya BhagwateDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
Hannah M SmithDepartment of Biochemistry and Molecular Biology, Mayo Clinic, 200 First St. SW Guggenheim Building, Room 13-21B, Rochester, MN, 55905, USA.
Michael J EmchDepartment of Biochemistry and Molecular Biology, Mayo Clinic, 200 First St. SW Guggenheim Building, Room 13-21B, Rochester, MN, 55905, USA.
Nicole A PearsonDepartment of Biochemistry and Molecular Biology, Mayo Clinic, 200 First St. SW Guggenheim Building, Room 13-21B, Rochester, MN, 55905, USA.
Zhifu SunDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
John R HawseDepartment of Biochemistry and Molecular Biology, Mayo Clinic, 200 First St. SW Guggenheim Building, Room 13-21B, Rochester, MN, 55905, USA. hawse.john@mayo.edu.

Funding

Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI Zhenkun Lou · 2009 to 2026
$37.0M
Department of Defense Ovarian Cancer Research Program OC210132: W81XWH-22-1-0634National Cancer Institute of the National Institutes of Health through the Mayo Clinic Ovarian Cancer SPORE Grant P50CA136393NCI NIH HHS P50 CA136393
6 · The paper itself

Abstract

backgroundEpithelial ovarian cancer continues to be a highly fatal female reproductive malignancy despite treatment with aggressive chemotherapy, anti-angiogenic agents, PARP inhibitors, and surgical debulking strategies. JAK/STAT signaling is reported to be oncogenic in ovarian cancer and constitutively active in a proportion of chemotherapy-resistant ovarian cancer cell lines and human tumors. However, the individual contributions of specific JAK/STAT pathway components, in particular STAT1 and STAT3, in mediating oncogenic activity are not well understood.

methodsTo delineate the precise molecular functions of STAT1 and STAT3 in the two most common ovarian cancer subtypes, high-grade serous and endometrioid, OVSAHO and MDAH-2774 cell lines were treated with IFNγ or IL6, to activate canonical STAT1 and STAT3 signaling respectively, with and without STAT1 and STAT3 knockdown. RNA-sequencing and ChIP-sequencing were utilized to globally define STAT1 and STAT3 specific transcriptomes and cistromes. STAT1 and STAT3 specific gene signatures were derived and applied to publicly available datasets to evaluate their predictive/prognostic value.

resultsThrough these global and unbiased assessments, unique and overlapping STAT1 and STAT3 transcriptional profiles, and their associated pathways, were identified. From these data, STAT1 and STAT3 gene signatures were developed that are representative of transcriptionally active STAT1 and STAT3. STAT1 specific gene signatures were found to be more lowly expressed in ovarian tumors compared to normal ovarian tissue while STAT3 specific signatures were higher in malignant tissue. Elevated levels of STAT1 and STAT3 signaling were associated with non-responsiveness to initial chemotherapy treatment. Finally, STAT1 and STAT3 signatures were associated with worse progression free survival for ovarian cancer patients, while only STAT1 signatures were associated with worse overall survival. Importantly, these results were specific to the gene signatures indicative of STAT activity and differed from assessment of STAT1 and STAT3 gene expression alone.

conclusionsThese studies further inform the precise mechanisms of STAT1 and STAT3 action in ovarian cancer and have defined gene signatures that have both prognostic and predictive value. Additionally, these results can be leveraged for the identification and development of pharmacologic approaches that elicit specific effects on the JAK/STAT signaling pathway and/or selectively alter the functions of individual STAT transcription factors.

Indexed as

Biomarkers, TumorOvarian NeoplasmsSTAT1 Transcription FactorSTAT3 Transcription FactorCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansPrognosisSignal TransductionBiomarkers, TumorSTAT1 protein, humanSTAT1 Transcription FactorSTAT3 protein, humanSTAT3 Transcription FactorGene signatureJAKOvarian cancerSTAT1STAT3

Identifiers

PMID42186004
PMCPMC13383394

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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.