Evidence map›Paper›PMID 42082487›Full record

ArticleNature communications2026

Targeting FGFR signaling overcomes therapeutic resistance and immune evasion in oncogenic PIK3CA-driven serous-like endometrial cancer.

Xin Cheng, Yadong Zhang, Changli Qian, Erica Holdridge, Guruprasad Ananda, Tao Jiang, Jing Ni, Shaozhen Xie, Hao Gu, Renlei Ji and 11 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Xin ChengDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0009-0009-9549-5918
Yadong ZhangBasic and Translational Research Division, Department of Cardiology, Boston Children's Hospital, Boston, MA, USA.
Changli QianDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Erica HoldridgeDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Guruprasad AnandaDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Tao JiangDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Jing NiDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4229-775X
Shaozhen XieDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Hao GuDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0204-2875
Renlei JiDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Elena V IvanovaBelfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Marisa R NucciDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Zhe WangDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Kaifu ChenBasic and Translational Research Division, Department of Cardiology, Boston Children's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1009-4357
Bose KochupurakkalDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Gordon J FreemanDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-7210-5616
Geoffrey I ShapiroDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3331-4095
Joyce LiuDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Panagiotis A KonstantinopoulosDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1032-1479
Ursula MatulonisDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Jean J ZhaoDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA. jean_zhao@dfci.harvard.edu.ORCID http://orcid.org/0000-0002-4561-5688

Funding

Integrating targeted therapy and immunotherapy to break through cancerR35CA210057 · NCI · DANA-FARBER CANCER INST · PI Jean Zhao · 2016 to 2026
$10.8M
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R35CA210057NCI NIH HHS R35 CA210057U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 1P01CA269021-01A1
6 · The paper itself

Abstract

Serous endometrial cancer (SEC) is an aggressive subtype of endometrial cancer (EC) with poor prognosis and limited treatment options. Here, we develop a clinically relevant, immunocompetent serous-like mouse model incorporating oncogenic PIK3CA mutation, Trp53 loss, and MYC overexpression. Using this model together with human EC cell lines, patient-derived organoids (PDOs), xenografts, and patient datasets, we investigate mechanisms underlying resistance to PI3Kα-targeted therapy. Single-cell profiling reveals that FGFR1/2 upregulation associates with intrinsic resistance, whereas FGFR3 characterizes acquired resistance. Dual FGFR and PI3Kα inhibition produces superior tumor control compared with either agent alone. Mechanistically, FGFR signaling promotes immune evasion by downregulating MHC-I/HLA-mediated antigen presentation and enriching M2-type tumor-associated macrophages. FGFR inhibition reverses these changes and synergizes with anti-PD-1 therapy to enhance antitumor immune responses and establish durable immune memory. Collectively, these findings identify FGFR signaling as a key driver of therapeutic resistance and immune escape in SEC and support FGFR-targeted combination strategies.

Indexed as

Class I Phosphatidylinositol 3-KinasesDrug Resistance, NeoplasmEndometrial NeoplasmsReceptors, Fibroblast Growth FactorAnimalsCell Line, TumorFemaleHumansMiceReceptor, Fibroblast Growth Factor, Type 3Signal TransductionTumor-Associated MacrophagesTumor EscapeTumor Suppressor Protein p53Xenograft Model Antitumor AssaysClass I Phosphatidylinositol 3-KinasesFGFR3 protein, humanPIK3CA protein, humanReceptor, Fibroblast Growth Factor, Type 3Receptors, Fibroblast Growth FactorTumor Suppressor Protein p53

Identifiers

PMID42082487
PMCPMC13347040

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.