Evidence map›Paper›PMID 24619076›Full record

ArticleBritish journal of cancer2014

Clinical significance of polypeptide N-acetylgalactosaminyl transferase-5 (GalNAc-T5) expression in patients with gastric cancer.

H He, Z Shen, H Zhang, X Wang, Z Tang, J Xu, Y Sun

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. GalNAc-Transferases in Cancer.Biomedicines · 2025
    Review
  3. Article
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  7. PolypeptideOncoTargets and therapy · 2017
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. 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

7 authors at 1 institution in 1 country.

H HeDepartment of General Surgery, Zhongshan Hospital, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China.
Z ShenDepartment of General Surgery, Zhongshan Hospital, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China.
H ZhangDepartment of General Surgery, Zhongshan Hospital, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China.
X WangDepartment of General Surgery, Zhongshan Hospital, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China.
Z TangDepartment of General Surgery, Zhongshan Hospital, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China.
J Xu1] Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China [2] Key Laboratory of Glycoconjugate Research, MOH, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China [3] Key Laboratory of Medical Molecular Virology, MOE & MOH, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China.
Y SunDepartment of General Surgery, Zhongshan Hospital, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China.
Shanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe family of polypeptide N-acetylgalactosaminyl transferases is responsible for the altered O-linked glycosylation occurring during the development of various cancers and their progression via altering O-glycan biosynthesis. Our studies were designed to investigate the expression and prognostic values of GalNAc-T5 and improve the risk stratification in patients with gastric cancer.

methodsTissue samples from a training set and a validation set of patients with gastric adenocarcinoma from China were used for analyses. GalNAc-T5 expression was retrospectively analysed by immunohistochemistry. Results were assessed for association with clinicopathological parameters and overall survival by using Kaplan-Meier analysis. Prognostic values of GalNAc-T5 expression and clinical outcomes were evaluated by Cox regression analysis. A molecular prognostic stratification scheme incorporating GalNAc-T5 expression was determined by using receiver operating characteristic analysis.

resultsGalNAc-T5 expression was markedly reduced in gastric cancer tissues compared with non-malignant gastric mucosa. Low intratumoral GalNAc-T5 density, which was associated with tumour cell differentiation, T classification, N classification, and TNM stage in the two independent sets, was an independent prognosticator for poor prognosis of gastric cancer patients. Applying the prognostic value of intratumoral GalNAc-T5 density to the conventional clinicopathologic TNM stage system showed a better prognostic value in patients with gastric cancer.

conclusionsIntratumoral GalNAc-T5 expression was recognised as an independent prognostic marker for the overall survival of gastric cancer patients. Detection of GalNAc-T5 expression in gastric cancer tissues might add some prognostic information for patients with this disease and lead to a more accurate classification under the TNM stage system.

Indexed as

Molecular Targeted TherapyPrognosisAgedBiomarkers, TumorDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticGlycosylationHumansKaplan-Meier EstimateMaleMiddle AgedN-AcetylgalactosaminyltransferasesNeoplasm StagingPolypeptide N-acetylgalactosaminyltransferaseStomach NeoplasmsBiomarkers, TumorN-AcetylgalactosaminyltransferasesPolypeptide N-acetylgalactosaminyltransferase

Identifiers

PMID24619076
PMCPMC3992513
OpenAlexW2073765479

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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.