Evidence map›Paper›PMID 26175278›Full record

ArticleScientific reports2015

Large scale systematic proteomic quantification from non-metastatic to metastatic colorectal cancer.

Xuefei Yin, Yang Zhang, Shaowen Guo, Hong Jin, Wenhai Wang, Pengyuan Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-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

11 citing papers in PubMed, 29 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Xuefei Yin1] Department of Systems Biology for Medicine, Fudan University Shanghai Medical College, Shanaghai 200032, China [2] Department of Chemistry and Institutes of Biomedical Sciences of Shanghai medical School, Fudan University, Shanghai 200032, China.
Yang ZhangDepartment of Chemistry and Institutes of Biomedical Sciences of Shanghai medical School, Fudan University, Shanghai 200032, China.
Shaowen GuoShuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Hong JinDepartment of Chemistry and Institutes of Biomedical Sciences of Shanghai medical School, Fudan University, Shanghai 200032, China.
Wenhai WangShuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Pengyuan Yang1] Department of Systems Biology for Medicine, Fudan University Shanghai Medical College, Shanaghai 200032, China [2] Department of Chemistry and Institutes of Biomedical Sciences of Shanghai medical School, Fudan University, Shanghai 200032, China.
Shanghai Medical College of Fudan University · CNShanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systematic proteomic quantification of formalin-fixed, paraffin-embedded (FFPE) colorectal cancer tissues from stage I to stage IIIC was performed in large scale. 1017 proteins were identified with 338 proteins in quantitative changes by label free method, while 341 proteins were quantified with significant expression changes among 6294 proteins by iTRAQ method. We found that proteins related to migration expression increased and those for binding and adherent decreased during the colorectal cancer development according to the gene ontology (GO) annotation and ingenuity pathway analysis (IPA). The integrin alpha 5 (ITA5) in integrin family was focused, which was consistent with the metastasis related pathway. The expression level of ITA5 decreased in metastasis tissues and the result has been further verified by Western blotting. Another two cell migration related proteins vitronectin (VTN) and actin-related protein (ARP3) were also proved to be up-regulated by both mass spectrometry (MS) based quantification results and Western blotting. Up to now, our result shows one of the largest dataset in colorectal cancer proteomics research. Our strategy reveals a disease driven omics-pattern for the metastasis colorectal cancer.

Indexed as

ProteomicsActin-Related Protein 3Biomarkers, TumorBlotting, WesternCell MovementChromatography, High Pressure LiquidColorectal NeoplasmsDatabases, FactualElectrophoresis, Polyacrylamide GelHumansIntegrin alphaVMetabolic Networks and PathwaysNeoplasm MetastasisParaffin EmbeddingProteomeTandem Mass SpectrometryActin-Related Protein 3Biomarkers, TumorIntegrin alphaVProteomeVitronectin

Identifiers

PMID26175278
PMCPMC4648419
OpenAlexW2268919477

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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.