Evidence map›Paper›PMID 39596687›Full record

ArticleGenes2024

Prognostic Relevance of Copy Number Losses in Ovarian Cancer.

Andrea Jemma, Alessandra Ardizzoia, Serena Redaelli, Angela Bentivegna, Marialuisa Lavitrano, Donatella Conconi

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Andrea JemmaSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0001-8312-2537
Alessandra ArdizzoiaSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0009-0004-1809-2684
Serena RedaelliSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0003-0415-4085
Angela BentivegnaSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0001-7535-846X
Marialuisa LavitranoSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0003-4852-1318
Donatella ConconiSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0001-5665-9558

Funding

Instand-NGS4P H2020 Project ID: 874719University of Milano-Bicocca 2021-ATE-0167University of Milano-Bicocca 2023-ATE-0402University of Milano-Bicocca 2023-ATE-0605
6 · The paper itself

Abstract

BACKGROUND/

objectivesAneuploidy is a prevalent cancer feature that occurs in many solid tumors. For example, high-grade serous ovarian cancer shows a high level of copy number alterations and genomic rearrangements. This makes genomic variants appealing as diagnostic or prognostic biomarkers, as well as for their easy detection. In this study, we focused on copy number (CN) losses shared by ovarian cancer stem cells (CSCs) to identify chromosomal regions that may be important for CSC features and, in turn, for patients' prognosis.

methodsArray-CGH and bioinformatic analyses on three CSCs subpopulations were performed.

resultsPathway and gene ontology analyses on genes involved in copy number loss in all CSCs revealed a significant decrease in mRNA surveillance pathway, as well as miRNA-mediated gene silencing. Then, starting from these CN losses, we validated their potential prognostic relevance by analyzing the TCGA cohort. Notably, losses of 4q34.3-q35.2, 8p21.2-p21.1, and 18q12.2-q23 were linked to increased genomic instability. Loss of 18q12.2-q23 was also related to a higher tumor stage and poor prognosis. Finally, specific genes mapping in these regions, such as

conclusionsOur findings highlight the importance of genomic alterations in ovarian cancer and their impact on tumor progression and patients' prognosis, offering advance in understanding of the application of numerical aberrations as prognostic ovarian cancer biomarkers.

Indexed as

Biomarkers, TumorDNA Copy Number VariationsOvarian NeoplasmsComparative Genomic HybridizationFemaleGene Expression Regulation, NeoplasticGenomic InstabilityHumansNeoplastic Stem CellsPrognosisBiomarkers, Tumorbiomarkerscancer stem cellscopy number alterationscopy number lossnumerical aberrationsovarian cancer

Identifiers

PMID39596687
PMCPMC11593593

What Socratic holds

Textmetadata
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 Socratic graph.