Evidence map›Paper›PMID 30587502›Full record

ArticleCancer genomics & proteomics

A Comprehensive Proteome Analysis of Peripheral Blood Mononuclear Cells (PBMCs) to Identify Candidate Biomarkers of Pancreatic Cancer.

Hengchao Li, Yishen Mao, Yueting Xiong, Huan Huan Zhao, Fenglin Shen, Xing Gao, Pengyuan Yang, Xiaohui Liu, Deliang Fu

Open access · diamondAbstract read
In one paragraph

Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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  11. Plasma Proteomic Analysis in Morquio A Disease.International journal of molecular sciences · 2021
    Article
  12. Article
  13. Biomarkers and Strategy to Detect Preinvasive and Early Pancreatic Cancer: State of the Field and the Impact of the EDRN.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Proteomics for cancer drug design.Expert review of proteomics · 2019
    Article
  18. Review
  19. 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

9 authors at 1 institution in 1 country.

Hengchao LiDepartment of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, P.R. China.
Yishen MaoDepartment of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, P.R. China.
Yueting XiongInstitute of Biomedical Sciences, Fudan University, Shanghai, P.R. China.
Huan Huan ZhaoInstitute of Biomedical Sciences, Fudan University, Shanghai, P.R. China.
Fenglin ShenInstitute of Biomedical Sciences, Fudan University, Shanghai, P.R. China.
Xing GaoInstitute of Biomedical Sciences, Fudan University, Shanghai, P.R. China.
Pengyuan YangInstitute of Biomedical Sciences, Fudan University, Shanghai, P.R. China pyyang@fudan.edu.cn liuxiaohui@fudan.edu.cn surgeonfu@163.com.
Xiaohui LiuInstitute of Biomedical Sciences, Fudan University, Shanghai, P.R. China pyyang@fudan.edu.cn liuxiaohui@fudan.edu.cn surgeonfu@163.com.
Deliang FuDepartment of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, P.R. China pyyang@fudan.edu.cn liuxiaohui@fudan.edu.cn surgeonfu@163.com.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimPancreatic cancer (PC) is currently the fourth leading cause of cancer-related mortality worldwide. Peripheral blood mononuclear cells (PBMCs) is a subpopulation of accessible and functional immune cells. Comparative analysis of the proteome of PBMCs can help us elucidate the mechanism of disease and find potential biomarkers for diagnosis. MATERIALS AND

methodsPBMCs were collected from healthy individuals, patients with benign diseases, and pancreatic cancer. iTRAQ-2DLC-MS/MS and SWATH methodologies were applied to make a comparative proteomics analysis of PBMCs.

resultsA total of 3,357 proteins with a false discovery rate (FDR) <1% were identified, of which 114 proteins were found dysregulated in the PC group. An extensive SWATH library was constructed which showed a potential application for large scale clinical sample analysis.

conclusionA PBMCs proteome with extensive protein representation was achieved, which will potentially allow the identification of novel biomarkers for PC.

Indexed as

Biomarkers, TumorProteomeProteomicsChromatography, LiquidComputational BiologyData CurationGene Regulatory NetworksHumansLeukocytes, MononuclearPancreatic NeoplasmsProtein Interaction MappingProtein Interaction MapsTandem Mass SpectrometryBiomarkers, TumorProteomebloodiTRAQpancreatic cancerPBMCSWATH

Identifiers

PMID30587502
PMCPMC6348400
OpenAlexW2906325332

What OpenQuestion holds

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Registered trials

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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.