ArticleNature communications2024
Therapy-induced secretion of spliceosomal components mediates pro-survival crosstalk between ovarian cancer cells.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 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
10 citing papers in PubMed.
- Article
- The chemotherapy-induced senescence-associated secretome promotes cell detachment and metastatic dissemination through metabolic reprogramming.Nature aging · 2026Article
- Ionizing Radiation Actively Reshapes Bone Marrow-Derived Extracellular Vesicle MicroRNA Cargo with the Involvement of hnRNP A2b1.International journal of molecular sciences · 2026Article
- The Regulatory Network of FOXM1: Orchestrating Cancer Progression and Resistance to Therapy.International journal of molecular sciences · 2026Review
- Non-canonical and induced neoantigens as emerging sources of cancer-specific immunotherapy targets.Frontiers in immunology · 2026Review
- Harnessing ovarian cancer ascites for translational science: models, biomarkers, and therapeutics.Molecular cancer · 2025Review
- Alternative Splicing in Tumorigenesis and Cancer Therapy.Biomolecules · 2025Review
- Distinctive features of blood- and ascitic fluid-derived extracellular vesicles in ovarian cancer patients.Molecular medicine (Cambridge, Mass.) · 2025Article
- Changes in potential pathogenicity-associated proteins ofFrontiers in microbiology · 2025Article
- Macrophages and neutrophils in ovarian cancer microenvironment.Frontiers in immunology · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
36 authors.
Funding
Abstract
Ovarian cancer often develops resistance to conventional therapies, hampering their effectiveness. Here, using ex vivo paired ovarian cancer ascites obtained before and after chemotherapy and in vitro therapy-induced secretomes, we show that molecules secreted by ovarian cancer cells upon therapy promote cisplatin resistance and enhance DNA damage repair in recipient cancer cells. Even a short-term incubation of chemonaive ovarian cancer cells with therapy-induced secretomes induces changes resembling those that are observed in chemoresistant patient-derived tumor cells after long-term therapy. Using integrative omics techniques, we find that both ex vivo and in vitro therapy-induced secretomes are enriched with spliceosomal components, which relocalize from the nucleus to the cytoplasm and subsequently into the extracellular vesicles upon treatment. We demonstrate that these molecules substantially contribute to the phenotypic effects of therapy-induced secretomes. Thus, SNU13 and SYNCRIP spliceosomal proteins promote therapy resistance, while the exogenous U12 and U6atac snRNAs stimulate tumor growth. These findings demonstrate the significance of spliceosomal network perturbation during therapy and further highlight that extracellular signaling might be a key factor contributing to the emergence of ovarian cancer therapy resistance.
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.