Evidence map›Paper›PMID 27941907›Full record

ArticleScientific reports2016

Identification of specific biomarkers for gastric adenocarcinoma by ITRAQ proteomic approach.

Xiaoxiao Wang, Qiaoming Zhi, Songbai Liu, Sheng-Li Xue, Congcong Shen, Yangxin Li, Chaofan Wu, Zaixiang Tang, Weichang Chen, Jenny Lee Song and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. 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
–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

19 citing papers in PubMed.

  1. The role and application prospects of ANXA1 in gastric cancer cells.Medical oncology (Northwood, London, England) · 2025
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  8. NicotinamideBiomolecules · 2022
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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

13 authors.

Xiaoxiao WangCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Jiangsu Institute of Hematology, First Affiliated Hospital, Soochow University, Suzhou, China.
Qiaoming ZhiDepartment of General Surgery, the First Affiliated Hospital of Soochow University, Suzhou, China.
Songbai LiuSuzhou Vocational Health College, Suzhou Key Laboratory of Biotechnology for Laboratory Medicine, Suzhou 215009, Jiangsu Province, China.
Sheng-Li XueDepartment of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University; Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China.
Congcong ShenCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Jiangsu Institute of Hematology, First Affiliated Hospital, Soochow University, Suzhou, China.
Yangxin LiDepartment of Cardiovascular Surgery &Institute of Cardiovascular Science, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215123, P. R. China.
Chaofan WuCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Jiangsu Institute of Hematology, First Affiliated Hospital, Soochow University, Suzhou, China.
Zaixiang TangDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, China.
Weichang ChenDepartment of Gastroenterology, the First Affiliated Hospital of Soochow University, China.
Jenny Lee SongCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Jiangsu Institute of Hematology, First Affiliated Hospital, Soochow University, Suzhou, China.
Meiyu BaoCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Jiangsu Institute of Hematology, First Affiliated Hospital, Soochow University, Suzhou, China.
Yao-Hua SongCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Jiangsu Institute of Hematology, First Affiliated Hospital, Soochow University, Suzhou, China.
Jin ZhouDepartment of General Surgery, the First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to identify biomarkers for gastric cancer (GC) by iTRAQ. Using proteins extracted from a panel of 4 pairs of gastric adenocarcinoma samples (stage III-IV, Her-2 negative), we identified 10 up regulated and 9 down regulated proteins in all four pairs of GC samples compared to adjacent normal gastric tissue. The up regulated proteins are mainly involved in cell motility, while the down regulated proteins are mitochondrial enzymes involved in energy metabolism. The expression of three up regulated proteins (ANXA1, NNMT, fibulin-5) and one of the down regulated proteins (UQCRC1) was validated by Western Blot in 97 GC samples. ANXA1 was up regulated in 61.36% of stage I/II GC samples compared to matched adjacent normal gastric tissue, and its expression increased further in stage III/IV samples. Knockdown of ANXA1 by siRNA significantly inhibited GC cell migration and invasion, whereas over expression of ANXA1 promoted migration and invasion. We found decreased expression of UQCRC1 in all stages of GC samples. Our data suggest that increased cell motility and decreased mitochondrial energy metabolism are important hallmarks during the development of GC.

Indexed as

AdenocarcinomaAgedBiomarkers, TumorBlotting, WesternCell MovementEnergy MetabolismFemaleFluorescent Antibody Technique, DirectGene Expression Regulation, NeoplasticGene OntologyHumansMaleMiddle AgedNeoplasm InvasivenessNeoplasm ProteinsProteomicsBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID27941907
PMCPMC5150883

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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.