Evidence map›Paper›PMID 22606006›Full record

ArticleInternational journal of molecular sciences2012

Frequent gene amplification predicts poor prognosis in gastric cancer.

Jing Shi, Demao Yao, Wei Liu, Na Wang, Hongjun Lv, Nongyue He, Bingyin Shi, Peng Hou, Meiju Ji

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Article
  7. Review
  8. Annals of translational medicine · 2021
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  15. Phase I Study of AMG 337, a Highly Selective Small-molecule MET Inhibitor, in Patients with Advanced Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  16. Article
  17. Detecting promoter methylation pattern of apoptotic genesJournal of gastrointestinal oncology · 2018
    Article
  18. Review
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  20. 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 2 institutions in 1 country.

Jing ShiDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University School of Medicine, Xi'an 710061, China.
Demao YaoDepartment of Surgery, The First Affiliated Hospital of Xi'an Jiaotong University School of Medicine, Xi'an 710061, China.
Wei LiuDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University School of Medicine, Xi'an 710061, China.
Na WangDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University School of Medicine, Xi'an 710061, China.
Hongjun LvDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University School of Medicine, Xi'an 710061, China.
Nongyue HeState Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China.
Bingyin ShiDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University School of Medicine, Xi'an 710061, China.
Peng HouDepartment of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University School of Medicine, Xi'an 710061, China.
Meiju JiCenter for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University School of Medicine, Xi'an 710061, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is one of the most common malignancies worldwide. However, genetic alterations leading to this disease are largely unknown. Gene amplification is one of the most frequent genetic alterations, which is believed to play a major role in the development and progression of gastric cancer. In the present study, we identified three frequently amplified genes from 30 candidate genes using real-time quantitative PCR method, including ERBB4, C-MET and CD44, and further explored their association with clinicopathological characteristics and poor survival in a cohort of gastric cancers. Our data showed amplification of these genes was significantly associated with certain clinicopathological characteristics, particularly tumor differentiation and cancer-related death. More importantly, amplification of these genes was significantly related to worse survival, suggesting that these amplified genes may be significant predictors of poor prognosis and potential therapeutic targets in gastric cancer. Targeting these genes may thus provide new possibilities in the treatment of gastric cancer.

Indexed as

FemaleGene AmplificationGene DosageHumansHyaluronan ReceptorsLymphatic MetastasisMaleMiddle AgedPrognosisProto-Oncogene Proteins c-metReceptor, ErbB-4StomachStomach NeoplasmsCD44 protein, humanERBB4 protein, humanHyaluronan ReceptorsProto-Oncogene Proteins c-metReceptor, ErbB-4gastric cancergene amplificationoncogenespoor prognosis

Identifiers

PMID22606006
PMCPMC3344242
OpenAlexW2048528629

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.