Evidence map›Paper›PMID 40204276›Full record

ArticleMolecular & cellular proteomics : MCP2025

Quantitative Proteomics and Phosphoproteomics Analysis of Patient-Derived Ovarian Cancer Stem Cells.

Giulia Franciosa, Valentina Nieddu, Chiara Battistini, Miriam Caffarini, Michela Lupia, Nicoletta Colombo, Nicola Fusco, Jesper V Olsen, Ugo Cavallaro

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

9 authors.

Giulia FranciosaNovo Nordisk Foundation Center for Protein Research, Department of Cellular andMolecular Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark. Electronic address: giulia.franciosa@cpr.ku.dk.
Valentina NiedduUnit of Gynecological Oncology Research, European Institute of Oncology IRCSS, Milano, Italy.
Chiara BattistiniUnit of Gynecological Oncology Research, European Institute of Oncology IRCSS, Milano, Italy.
Miriam CaffariniUnit of Gynecological Oncology Research, European Institute of Oncology IRCSS, Milano, Italy.
Michela LupiaUnit of Gynecological Oncology Research, European Institute of Oncology IRCSS, Milano, Italy.
Nicoletta ColomboDivision of Gynecologic Oncology, European Institute of Oncology IRCCS, Milano, Italy; Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Nicola FuscoDepartment of Pathology and Laboratory Medicine, European Institute of Oncology IRCCS, Milano, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milano, Italy.
Jesper V OlsenNovo Nordisk Foundation Center for Protein Research, Department of Cellular andMolecular Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark. Electronic address: jesper.olsen@cpr.ku.dk.
Ugo CavallaroUnit of Gynecological Oncology Research, European Institute of Oncology IRCSS, Milano, Italy. Electronic address: ugo.cavallaro@ieo.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade serous ovarian carcinoma (HGSOC) is the deadliest gynecologic cancer. Key to the progression and ultimate lethality of this subtype is the intra-tumoral heterogeneity, which is defined as the coexistence of different cell types and populations within a single tumor. Among those, ovarian cancer stem cells (OCSCs) are a distinct subpopulation of tumor cells endowed with stem-like properties, which can survive current standard therapies, resulting in tumor recurrence. Here, we generated ex vivo primary OCSC-enriched three-dimensional (3D) spheres from 10 distinct treatment naive patient-derived adherent (2D) cultures. We used state-of-the-art quantitative mass spectrometry to characterize the molecular events associated with OCSCs by analyzing their proteome and phosphoproteome. Our data revealed a stemness-related protein signature, shared within a heterogeneous patient cohort, which correlates with chemo-refractoriness in a clinical proteomics dataset. Moreover, we identified targetable deregulated kinases and aberrant PDGF receptor activation in OCSCs. Pharmacological inhibition of PDGFR in adherent OC cells reduced the stemness potential, measured by sphere formation assay. Overall, we provide a valuable resource to identify new OCSC markers and putative targets for OCSC-directed therapies.

Indexed as

Neoplastic Stem CellsOvarian NeoplasmsPhosphoproteinsProteomeProteomicsFemaleHumansSpheroids, CellularPhosphoproteinsProteomecancer stem cellsHGSOCovarian cancerphosphoproteomicsproteomics

Identifiers

PMID40204276
PMCPMC12142526

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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.