Evidence map›Paper›PMID 29295532›Full record

ArticleInternational journal of molecular sciences2017

Stromal Expression of MARCKS Protein in Ovarian Carcinomas Has Unfavorable Prognostic Value.

Raoudha Doghri, Maroua Manai, Pascal Finetti, Maha Driss, Emilie Agavnian, Marc Lopez, Meriam Elghardallou, Emmanuelle Charafe-Jauffret, Mohamed Manai, Max Chaffanet and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. MARCKS and Lung Disease.American journal of respiratory cell and molecular biology · 2019
    Review
  7. Article
  8. 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

13 authors at 6 institutions in 2 countries.

Raoudha DoghriDépartement d'Anatomie Pathologique, Institut Salah Azaiez, Bab Saadoun, Tunis 1006, Tunisia. raoudha.doghri@gmail.com.
Maroua ManaiDépartement d'Anatomie Pathologique, Institut Salah Azaiez, Bab Saadoun, Tunis 1006, Tunisia. maroua.m@hotmail.com.
Pascal FinettiDépartement d'Oncologie Moléculaire, Centre de Recherche en Cancérologie de Marseille, Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR7258, Aix-Marseille Université, 13007 Marseille, France. finettip@ipc.unicancer.fr.
Maha DrissDépartement d'Anatomie Pathologique, Institut Salah Azaiez, Bab Saadoun, Tunis 1006, Tunisia. mdriss808@gmail.com.
Emilie AgavnianDépartement de Bio-Pathologie, Institut Paoli-Calmettes, 13009 Marseille, France. agavniane@ipc.unicancer.fr.
Marc LopezDépartement d'Oncologie Moléculaire, Centre de Recherche en Cancérologie de Marseille, Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR7258, Aix-Marseille Université, 13007 Marseille, France. marc.lopez@inserm.fr.
Meriam ElghardallouDépartement de Médicine Communautaire, Faculté de Médecine de Sousse, Sousse 4000, Tunisia. meriamelghardallou@yahoo.fr.
Emmanuelle Charafe-JauffretDépartement de Bio-Pathologie, Institut Paoli-Calmettes, 13009 Marseille, France.
Mohamed ManaiDépartement de Biologie, Unité de Biochimie et Biologie Moléculaire, Faculté des Sciences de Tunis, Université de Tunis El Manar, Tunis 1068, Tunisia.
Max ChaffanetDépartement d'Oncologie Moléculaire, Centre de Recherche en Cancérologie de Marseille, Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR7258, Aix-Marseille Université, 13007 Marseille, France. chaffanetm@ipc.unicancer.fr.
Daniel BirnbaumDépartement d'Oncologie Moléculaire, Centre de Recherche en Cancérologie de Marseille, Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR7258, Aix-Marseille Université, 13007 Marseille, France. daniel.birnbaum@inserm.fr.
Karima MradDépartement d'Anatomie Pathologique, Institut Salah Azaiez, Bab Saadoun, Tunis 1006, Tunisia. karimamrad@ymail.com.
François BertucciDépartement d'Oncologie Moléculaire, Centre de Recherche en Cancérologie de Marseille, Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR7258, Aix-Marseille Université, 13007 Marseille, France. bertuccif@ipc.unicancer.fr.
Centre National de la Recherche Scientifique · FRTunis University · TNInstitut Salah-Azaïz · TNAix-Marseille Université · FRInstitut Paoli-Calmettes · FRUniversity of Sousse · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) is the most lethal gynecological cancer. Identification of new therapeutic targets is crucial. MARCKS, myristoylated alanine-rich C-kinase substrate, has been implicated in aggressiveness of several cancers and MARCKS inhibitors are in development. Using immunohistochemistry (IHC), we retrospectively assessed MARCKS expression in epithelial and stromal cells of 118 pre-chemotherapy EOC samples and 40 normal ovarian samples from patients treated at Salah Azaiez Institute. We compared MARCKS expression in normal versus cancer samples, and searched for correlations with clinicopathological features, including overall survival (OS). Seventy-five percent of normal samples showed positive epithelial MARCKS staining versus 50% of tumor samples (

Indexed as

AdultAgedAged, 80 and overCarcinoma, Ovarian EpithelialCell Line, TumorFemaleHumansMiddle AgedMultivariate AnalysisMyristoylated Alanine-Rich C Kinase SubstrateNeoplasms, Glandular and EpithelialOvarian NeoplasmsPrognosisStromal CellsSurvival AnalysisMyristoylated Alanine-Rich C Kinase Substrateepithelial ovarian cancerimmunohistochemistryMARCKSprognosisstromasurvival

Identifiers

PMID29295532
PMCPMC5795991
OpenAlexW2776596339

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.