Evidence map›Paper›PMID 21472265›Full record

ArticleMolecular medicine reports

Identification of signature genes for detecting hedgehog signaling activation in gastric cancer.

Ling Yang, Shuhong Huang, Yuehong Bian, Xiaoli Ma, Hongwei Zhang, Jingwu Xie

Open access · bronzeAbstract read
In one paragraph

Article in Molecular medicine reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Hedgehog pathway aberrations and gastric cancer; evaluation of prognostic impact and exploration of therapeutic potentials.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Review
  2. 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

6 authors at 1 institution in 1 country.

Ling YangInstitute of Developmental Biology, School of Life Sciences, Shandong University, Shandong 250100, P.R. China.
Shuhong Huang
Yuehong Bian
Xiaoli Ma
Hongwei Zhang
Jingwu Xie
Shandong University · CN

Funding

Synthetic Organic Chemistry CoreP30ES006676 · NIEHS · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI ELFERINK, CORNELIS JOHAN · 1995 to 2017
$21.7M
Molecular Basis of Hedgehog Signaling in CarcinogenesisR01CA094160 · NCI · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI XIE, JINGWU · 2002 to 2011
$2.8M
NCI NIH HHS R01 CA094160NIEHS NIH HHS P30 ES006676
6 · The paper itself

Abstract

The aim of this study was to investigate the expression of hedgehog signaling molecules in gastric cancer. In situ hybridization, immunohistochemistry and RT-PCR for hedgehog signaling molecules, smoothened (SMO), suppressor of fused [Su(Fu)], and the target genes hedgehog-interacting protein (HIP) and platelet-derived growth factor receptor α (PDGFRα) were performed in 30 gastric cancer and two gastritis specimens. Using in situ hybridization, SMO expression was detected in 18/30 cancerous specimens (60%) as well as in 1/2 gastritis specimens (50%). Su(Fu) was expressed in 15/30 (50%), HIP in 14/30 (≈47%), and PDGFRα in 6/30 (20%) gastric cancer specimens. Despite the heterogeneous expression pattern, SMO, Su(Fu) and PDGFRα transcripts were highly correlated with the HIP transcript in the 30 gastric cancer specimens (p=0.0006, 0.0003 and 0.0441, respectively). Results from the in situ hybridization were further confirmed by RT-PCR for the expression of all of the genes and by immunohistochemistry for SMO expression. The findings revealed a set of genes for detecting Hh signaling activation in gastric cancer.

Identifiers

PMID21472265
PMCPMC3137262
OpenAlexW2117010457

What OpenQuestion holds

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LicenceTDM
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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.