Evidence map›Paper›PMID 30627607›Full record

ArticleData in brief2019

Peptidome profiling dataset of ovarian cancer and non-cancer proximal fluids: Ascites and blood sera.

Victoria Shender, Georgij Arapidi, Ivan Butenko, Nikolay Anikanov, Olga Ivanova, Vadim Govorun

Abstract read
In one paragraph

Article in Data in brief, 2019. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Circulating Peptidome Is Strongly Altered in COVID-19 Patients.International journal of environmental research and public health · 2023
    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

6 authors.

Victoria ShenderFederal Research and Clinical Center of Physical-Chemical Medicine of the Federal Medical and Biological Agency of the Russian Federation, Malaya Pirogovskaya 1a, Moscow 119435, Russian Federation.
Georgij ArapidiFederal Research and Clinical Center of Physical-Chemical Medicine of the Federal Medical and Biological Agency of the Russian Federation, Malaya Pirogovskaya 1a, Moscow 119435, Russian Federation.
Ivan ButenkoFederal Research and Clinical Center of Physical-Chemical Medicine of the Federal Medical and Biological Agency of the Russian Federation, Malaya Pirogovskaya 1a, Moscow 119435, Russian Federation.
Nikolay AnikanovFederal Research and Clinical Center of Physical-Chemical Medicine of the Federal Medical and Biological Agency of the Russian Federation, Malaya Pirogovskaya 1a, Moscow 119435, Russian Federation.
Olga IvanovaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Miklukho-Maklaya str. 16/10, Moscow 117997, Russian Federation.
Vadim GovorunFederal Research and Clinical Center of Physical-Chemical Medicine of the Federal Medical and Biological Agency of the Russian Federation, Malaya Pirogovskaya 1a, Moscow 119435, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite a large number of proteomic studies of biological fluids from ovarian cancer patients, there is a lack of sensitive screening methods in clinical practice (Kim et al., 2016) (DOI:https://doi.org/10.1111/cas.12987[1]). Low molecular weight endogenous peptides more easily diffuse across endothelial barriers than proteins and can be more relevant biomarker candidates (Meo et al., 2016) (DOI:https://doi.org/10.18632/oncotarget.8931[2], (Bery et al., 2014) DOI:https://doi.org/10.1186/1559-0275-11-13[3], (Huang et al., 2018) DOI:https://doi.org/10.1097/IGC.0000000000001166[4]). Detailed peptidomic analysis of 26 ovarian cancer and 15 non-cancer samples of biological fluids (ascites and sera) were performed using TripleTOF 5600+ mass-spectrometer. Prior to LC-MS/MS analysis, peptides were extracted from biological fluids using anion exchange sorbent with subsequent peptide desorption from the surface of highly abundant proteins. In total, we identified 4874 peptides; 3123 peptides were specific for the ovarian cancer samples. The mass-spectrometry peptidomics data presented in this data article have been deposited to the ProteomeXchange Consortium (Deutsch et al., 2017) (DOI:https://doi.org/10.1093/nar/gkw936[5]) via the PRIDE partner repository with the dataset identifier PXD009382 and https://doi.org/10.6019/PXD009382, http://www.ebi.ac.uk/pride/archive/projects/PXD009382.

Identifiers

PMID30627607
PMCPMC6321966

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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.