Evidence map›Paper›PMID 31315664›Full record

ArticleJournal of ovarian research2019

Proteome profiling of low grade serous ovarian cancer.

Haniyeh Bashi Zadeh Fakhar, Hakimeh Zali, Mostafa Rezaie-Tavirani, Roya Faraji Darkhaneh, Babak Babaabasi

Abstract read
In one paragraph

Article in Journal of ovarian research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Clinical Performance of a Multivariate Index Assay in Detecting Early-Stage Ovarian Cancer in Filipino Women.International journal of environmental research and public health · 2022
    Article
  5. Review
  6. Article
  7. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haniyeh Bashi Zadeh FakharProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hakimeh ZaliProteomics Research Center, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa Rezaie-TaviraniProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. m.Tavirany@gmail.com.
Roya Faraji DarkhanehDepartment of Gynecology, Guilan University of Medical Sciences, Rasht, Iran.
Babak BabaabasiDepartment of Genetics, Reproductive Biomedicine Research Center, Royan Institute, ACECR, Tehran, Iran.

Funding

Shahid Beheshti University of Medical Sciences This study is extracted fromhaniyeh bashi zadeh Ph.D. thesis
6 · The paper itself

Abstract

backgroundSerous carcinoma, the subtype of ovarian cancer has the highest occurrence and mortality in women. Proteomic profiling using mass spectrometry (MS) has been used to detect biomarkers in tissue s obtained from patients with ovarian cancer. Thus, this study aimed at analyzing the interactome (protein-protein interaction (PPI)) and (MS) data to inspect PPI networks in patients with Low grade serous ovarian cancer.

methodsFor proteome profiling in Low grade serous ovarian cancer, 2DE and mass spectrometry were used. Differentially expressed proteins which had been determined in Low grade serous ovarian cancer and experimental group separately were integrated with PPI data to construct the (QQPPI) networks.

resultsSix Hub-bottlenecks proteins with significant centrality values, based on centrality parameters of the network (Degree and between), were found including Transgelin (TAGLN), Keratin (KRT14), Single peptide match to actin, cytoplasmic 1(ACTB), apolipoprotein A-I (APOA1), Peroxiredoxin-2 (PRDX2), and Haptoglobin (HP). DISCUSSION: This study showed these six proteins were introduced as hub-bottleneck protein. It can be concluded that regulation of gene expression can have a critical role in the pathology of Low-grade serous ovarian cancer.

Indexed as

ProteomeProteomicsComputational BiologyCystadenocarcinoma, SerousElectrophoresis, Gel, Two-DimensionalFemaleHumansNeoplasm GradingNeoplasm StagingOvarian NeoplasmsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationProteomeLow grade serous ovarian cancerProfilingProteome

Identifiers

PMID31315664
PMCPMC6637464

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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.