Evidence map›Paper›PMID 40051502›Full record

ArticleFrontiers in molecular biosciences2025

Immunomagnetic enrichment coupled to PAX8/TP53 molecular pathology approach increases sensitivity in the detection of ovarian cancer cells in ascites.

Ivana Kurelac, Manuela Sollazzo, Monica De Luise, Francesca Nanetti, Laura Lanteri, Luigi D'Angelo, Beatrice Cavina, Simona Corrà, Stefano Miglietta, Sara Milioni and 14 more

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 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
  2. Article
  3. Article
  4. Review
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

24 authors.

Ivana Kurelac *Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Manuela Sollazzo *Department of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy.
Monica De LuiseDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Francesca NanettiDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Laura LanteriDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Luigi D'AngeloDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy.
Beatrice CavinaDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Simona CorràDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Stefano MigliettaDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy.
Sara MilioniDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy.
Elena LuppiDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Luisa IommariniDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy.
Stella Di CostanzoDivision of Gynecologic Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Anna Maria RicciardiIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Sara ColuccelliSolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Thais MalobertiSolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Marco GrilliniPathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Camelia Alexandra CoadăDivision of Gynecologic Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Anna Myriam PerroneDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Pierandrea De IacoDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Dario de BiaseDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy.
Moira RagazziPathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Giuseppe Gasparre *Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Anna Maria Porcelli *IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade serous ovarian carcinoma (HGSOC) is one of the deadliest malignancies in female population and the cause of 70% of all ovarian cancer-related deaths. Among its hallmarks, the fluid accumulation in the peritoneal cavity, or ascites, is a peculiar pathological sign during late stages and in recurrent patients. Besides cancer cells, ascitic fluids contain a heterogeneous cellular composition, representing a precious source to dissect molecular mechanisms underlying invasion and metastatization or find new biomarkers to predict therapy response. However, malignant cells are often a minority population in ascites making the detection and analysis of cancer cells a challenge. Here we propose a combinatorial approach for the detection of malignant cells in OC ascites based on

Indexed as

ascitescancer cell enrichmentovarian cancerPAX8TP53

Identifiers

PMID40051502
PMCPMC11882402

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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.