Evidence map›Paper›PMID 31805750›Full record

ArticleCells2019

Transcriptional Characterization of Stage I Epithelial Ovarian Cancer: A Multicentric Study.

Enrica Calura, Matteo Ciciani, Andrea Sambugaro, Lara Paracchini, Giuseppe Benvenuto, Salvatore Milite, Paolo Martini, Luca Beltrame, Flaminia Zane, Robert Fruscio and 10 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

20 authors at 7 institutions in 2 countries.

Enrica CaluraDepartment of Biology, University of Padova, 35121 Padua, Italy.
Matteo CicianiDepartment of Cellular, Computational and Integrative Biology-CIBIO, University of Trento, 38123 Povo Trento, Italy.
Andrea SambugaroDepartment of Biology, University of Padova, 35121 Padua, Italy.
Lara ParacchiniDepartment of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milano, Italy.
Giuseppe BenvenutoDepartment of Biology, University of Padova, 35121 Padua, Italy.
Salvatore MiliteDepartment of Biology, University of Padova, 35121 Padua, Italy.
Paolo MartiniDepartment of Biology, University of Padova, 35121 Padua, Italy.
Luca BeltrameDepartment of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milano, Italy.ORCID 0000-0003-3631-6544
Flaminia ZaneUnit of Biological Adaptation and Ageing UMR8256, Institute of Biology Paris-Seine, Sorbonne University, 75005 Paris, France.ORCID 0000-0001-9457-2592
Robert FruscioClinic of Obstetrics and Gynaecology, University of Milano-Bicocca, San Gerardo Hospital, 20900 Monza, Italy.
Martina Delle MarchetteClinic of Obstetrics and Gynaecology, University of Milano-Bicocca, San Gerardo Hospital, 20900 Monza, Italy.
Fulvio BorellaDepartment of Surgical Science and Gynecology, Azienda Ospedaliero Universitaria, Città della Salute, presidio S.Anna, University of Torino, 10126 Torino, Italy.
Germana TognonDivision of Obstetrics and Gynecology, ASST Spedali Civili di Brescia, 25123 Brescia, Italy.
Antonella RavaggiAngelo Nocivelli Institute of Molecular Medicine, University of Brescia and ASST-Spedali Civili of Brescia, 25123 Brescia, Italy.
Dionyssios KatsarosDepartment of Surgical Science and Gynecology, Azienda Ospedaliero Universitaria, Città della Salute, presidio S.Anna, University of Torino, 10126 Torino, Italy.
Eliana BignottiDivision of Obstetrics and Gynecology, ASST Spedali Civili di Brescia, 25123 Brescia, Italy.
Franco OdicinoDivision of Obstetrics and Gynecology, ASST Spedali Civili di Brescia, 25123 Brescia, Italy.
Maurizio D'IncalciDepartment of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milano, Italy.
Sergio MarchiniDepartment of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milano, Italy.
Chiara RomualdiDepartment of Biology, University of Padova, 35121 Padua, Italy.ORCID 0000-0003-4792-9047
University of Padua · ITMario Negri Institute for Pharmacological Research · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITUniversity of Milano-Bicocca · ITSorbonne Université · FRUniversity of Brescia · ITUniversity of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stage I epithelial ovarian cancer (EOC) represents about 10% of all EOCs. It is characterized by a complex histopathological and molecular heterogeneity, and it is composed of five main histological subtypes (mucinous, endometrioid, clear cell and high, and low grade serous), which have peculiar genetic, molecular, and clinical characteristics. As it occurs less frequently than advanced-stage EOC, its molecular features have not been thoroughly investigated. In this study, using in silico approaches and gene expression data, on a multicentric cohort composed of 208 snap-frozen tumor biopsies, we explored the subtype-specific molecular alterations that regulate tumor aggressiveness in stage I EOC. We found that single genes rather than pathways are responsible for histotype specificities and that a cAMP-PKA-CREB1 signaling axis seems to play a central role in histotype differentiation. Moreover, our results indicate that immune response seems to be, at least in part, involved in histotype differences, as a higher immune-reactive behavior of serous and mucinous samples was observed with respect to other histotypes.

Indexed as

Transcription, GeneticBiomarkers, TumorCarcinoma, Ovarian EpithelialFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMetabolic Networks and PathwaysNeoplasm GradingNeoplasm StagingOvarian NeoplasmsSignal TransductionBiomarkers, Tumorcancer histotypesgene expressionspathwaysstage I ovarian cancer

Identifiers

PMID31805750
PMCPMC6952972
OpenAlexW2991412920

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.