Evidence map›Paper›PMID 37511212›Full record

ArticleInternational journal of molecular sciences2023

AhRR and PPP1R3C: Potential Prognostic Biomarkers for Serous Ovarian Cancer.

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

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Cancer Stem Cells from Definition to Detection and Targeted Drugs.International journal of molecular sciences · 2024
    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

7 authors at 1 institution in 1 country.

Alessandra ArdizzoiaSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
Andrea JemmaSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
Serena RedaelliSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0003-0415-4085
Marco SilvaSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
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
University of Milano-Bicocca · IT

Funding

Italian Ministry for Universities and Research 2017-NAZ-0426University of Milano-Bicocca 2019-ATE-0484University of Milano-Bicocca 2020-ATE-0261
6 · The paper itself

Abstract

The lack of effective screening and successful treatment contributes to high ovarian cancer mortality, making it the second most common cause of gynecologic cancer death. Development of chemoresistance in up to 75% of patients is the cause of a poor treatment response and reduced survival. Therefore, identifying potential and effective biomarkers for its diagnosis and prognosis is a strong critical need. Copy number alterations are frequent in cancer, and relevant for molecular tumor stratification and patients' prognoses. In this study, array-CGH analysis was performed in three cell lines and derived cancer stem cells (CSCs) to identify genes potentially predictive for ovarian cancer patients' prognoses. Bioinformatic analyses of genes involved in copy number gains revealed that AhRR and PPP1R3C expression negatively correlated with ovarian cancer patients' overall and progression-free survival. These results, together with a significant association between AhRR and PPP1R3C expression and ovarian cancer stemness markers, suggested their potential role in CSCs. Furthermore, AhRR and PPP1R3C's increased expression was maintained in some CSC subpopulations, reinforcing their potential role in ovarian cancer. In conclusion, we reported for the first time, to the best of our knowledge, a prognostic role of AhRR and PPP1R3C expression in serous ovarian cancer.

Indexed as

Cystadenocarcinoma, SerousOvarian NeoplasmsBasic Helix-Loop-Helix ProteinsBiomarkers, TumorCarcinoma, Ovarian EpithelialDNA Copy Number VariationsFemaleHumansIntracellular Signaling Peptides and ProteinsNeoplastic Stem CellsPrognosisRepressor ProteinsAHRR protein, humanBasic Helix-Loop-Helix ProteinsBiomarkers, TumorIntracellular Signaling Peptides and ProteinsPPP1R3C protein, humanRepressor ProteinsAhRRarray-CGHcancer stem cells (CSCs)copy number alterationsovarian cancerPPP1R3Cprognostic biomarkers

Identifiers

PMID37511212
PMCPMC10380391
OpenAlexW4384300977

What Socratic holds

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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.