Evidence map›Paper›PMID 26805816›Full record

ArticleInternational journal of molecular sciences2016

Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis.

Peng Dai, Qin Wang, Weihua Wang, Ruirui Jing, Wei Wang, Fengqin Wang, Kazem M Azadzoi, Jing-Hua Yang, Zhen Yan

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 33 citations in OpenAlex.

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  9. Proteomic Analysis Reveals Molecular Differences in the Development of Gastric Cancer.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
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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 3 institutions in 2 countries.

Peng DaiState Key Laboratory of Cancer Biology, Department of Pharmacogenomics, School of Pharmacy, Fourth Military Medical University, Xi'an 710032, China. rarfen@163.com.
Qin WangState Key Laboratory of Cancer Biology, Department of Pharmacogenomics, School of Pharmacy, Fourth Military Medical University, Xi'an 710032, China. maomao_snnu@163.com.
Weihua WangState Key Laboratory of Cancer Biology, Department of Pharmacogenomics, School of Pharmacy, Fourth Military Medical University, Xi'an 710032, China. weihuawang@email.arizona.edu.
Ruirui JingThe Cancer Research Center, School of Medicine, Shandong University, Jinan 250012, China. jingruirui223@163.com.
Wei WangState Key Laboratory of Cancer Biology, Department of Pharmacogenomics, School of Pharmacy, Fourth Military Medical University, Xi'an 710032, China. wangwei_fmmu@163.com.
Fengqin WangThe Cancer Research Center, School of Medicine, Shandong University, Jinan 250012, China. 15554139558@163.com.
Kazem M AzadzoiDepartments of Surgery and Urology, Boston Veterans Affairs Healthcare System, Boston University School of Medicine, Boston, MA 02130, USA. kazadzoi@bu.edu.
Jing-Hua YangThe Cancer Research Center, School of Medicine, Shandong University, Jinan 250012, China. jyang@bu.edu.
Zhen YanState Key Laboratory of Cancer Biology, Department of Pharmacogenomics, School of Pharmacy, Fourth Military Medical University, Xi'an 710032, China. yanzhen@fmmu.edu.cn.
Air Force Medical University · CNBoston University · USShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) has significant morbidity and mortality worldwide and especially in China. Its molecular pathogenesis has not been thoroughly elaborated. The acknowledged biomarkers for diagnosis, prognosis, recurrence monitoring and treatment are lacking. Proteins from matched pairs of human GC and adjacent tissues were analyzed by a coupled label-free Mass Spectrometry (MS) approach, followed by functional annotation with software analysis. Nano-LC-MS/MS, quantitative real-time polymerase chain reaction (qRT-PCR), western blot and immunohistochemistry were used to validate dysregulated proteins. One hundred forty-six dysregulated proteins with more than twofold expressions were quantified, 22 of which were first reported to be relevant with GC. Most of them were involved in cancers and gastrointestinal disease. The expression of a panel of four upregulated nucleic acid binding proteins, heterogeneous nuclear ribonucleoprotein hnRNPA2B1, hnRNPD, hnRNPL and Y-box binding protein 1 (YBX-1) were validated by Nano-LC-MS/MS, qRT-PCR, western blot and immunohistochemistry assays in ten GC patients' tissues. They were located in the keynotes of a predicted interaction network and might play important roles in abnormal cell growth. The label-free quantitative proteomic approach provides a deeper understanding and novel insight into GC-related molecular changes and possible mechanisms. It also provides some potential biomarkers for clinical diagnosis.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAdultAgedBiomarkers, TumorGene Regulatory NetworksHeterogeneous-Nuclear Ribonucleoprotein DHeterogeneous-Nuclear Ribonucleoprotein Group A-BHeterogeneous-Nuclear Ribonucleoprotein LHumansMaleMiddle AgedMolecular Sequence AnnotationPrognosisProtein Interaction MappingProteomicsBiomarkers, TumorHeterogeneous-Nuclear Ribonucleoprotein DHeterogeneous-Nuclear Ribonucleoprotein Group A-BHeterogeneous-Nuclear Ribonucleoprotein LhnRNP A2HNRNPL protein, humanRibonucleoproteinsY-Box-Binding Protein 1YBX1 protein, humangastric cancerheterogeneous nuclear ribonucleoproteinLabel-free quantitative proteomicsLC-MS/MSY-box binding protein 1

Identifiers

PMID26805816
PMCPMC4730314
OpenAlexW2268257403

What OpenQuestion holds

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LicenceCC BY
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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.