Evidence map›Paper›PMID 41932914›Full record

ArticleNature communications2026

Single-cell transcriptomics reveals FXR1 as an actionable target for siRNA therapy in ovarian cancer.

Jasmine George, Xiaolong Ma, Ishaque Pulikkal Kadamberi, Ajay Nair, Sonam Mittal, Elaheh Hashemi, Sudhir Kumar, Mona Singh, Anjali Geethadevi, Meenakshi Pradeep and 8 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Jasmine GeorgeDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA.
Xiaolong Ma *Division of Biostatistics, Data Science Institute, Medical College of Wisconsin, Milwaukee, WI, USA.ORCID http://orcid.org/0009-0009-9196-182X
Ishaque Pulikkal Kadamberi *Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA.
Ajay Nair *Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Sonam MittalDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA.
Elaheh HashemiVersiti Blood Research Institute, Milwaukee, WI, USA.
Sudhir KumarDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA.
Mona SinghDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA.
Anjali GeethadeviDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA.
Meenakshi PradeepDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA.
Anupama NairDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA.
Shirng-Wern TsaihDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA.ORCID http://orcid.org/0000-0002-9836-4659
Julie M JornsDepartment of Pathology, Medical College of Wisconsin, Milwaukee, WI, USA.
Subramaniam MalarkannanVersiti Blood Research Institute, Milwaukee, WI, USA.
Felix DietleinComputational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6651-7155
Chien-Wei LinDivision of Biostatistics, Data Science Institute, Medical College of Wisconsin, Milwaukee, WI, USA. chlin@mcw.edu.ORCID http://orcid.org/0000-0003-4023-7339
Sunila PradeepDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA. spradeep@mcw.edu.ORCID http://orcid.org/0000-0003-2441-7727
Pradeep Chaluvally-RaghavanDepartment of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI, USA. pchaluvally@mcw.edu.ORCID http://orcid.org/0000-0002-8268-3460

Funding

Unraveling the Impact of Extracellular Vesicle-Loaded FXR1 mRNA on Re-educating Cancer MicroenvironmentR01CA291708 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Pradeep Chaluvally-Raghavan · 2025 to 2026
$988k
NCI NIH HHS R01 CA291708U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) NCI R01CA229907
6 · The paper itself

Abstract

Ovarian cancer is one of the leading causes of cancer-related mortality among women and remains exceptionally difficult to manage and treat effectively in the clinic. Fragile X-related protein 1 (FXR1) is highly amplified and overexpressed in ovarian and several other cancers. FXR1 is a key regulator of the translation of multiple oncogenes and therefore represents a vulnerable target for cancer therapy. RNA interference (RNAi) of FXR1 using a locked nucleic acid (LNA) form of siRNA (siFXR1-LNA) inhibits tumor growth, ascites formation, and metastasis of ovarian cancer more efficiently than the native form of FXR1 siRNA in vivo. LNA modification of siRNA improves resistance to RNase mediated degradation and enhances tumor tissue uptake of siRNA with robust inhibition of target mRNA in tumor tissues. Single-cell RNA sequencing (scRNA-seq) analysis of ascites composed of tumor, stromal, and immune cells analysis reveals that FXR1 silencing suppresses tumor cell proliferation and reduces tumor-promoting M2-like macrophages. FXR1 silencing also increases cytotoxic T cells, NK cells, and dendritic cells with anti-tumor characteristics in vivo. Collectively, our data establishes FXR1 as an important regulator of oncogenic processes in cancer tissues and serves as a therapeutic liability. Therefore, FXR1 silencing in tumor tissues provides an effective strategy to treat tumors expressing high levels of FXR1.

Indexed as

Ovarian NeoplasmsRNA-Binding ProteinsRNA, Small InterferingTranscriptomeAnimalsAscitesCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMiceOligonucleotidesRNA InterferenceSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisFXR1 protein, humanlocked nucleic acidOligonucleotidesRNA-Binding ProteinsRNA, Small Interfering

Identifiers

PMID41932914
PMCPMC13219712

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.