Evidence map›Paper›PMID 38840920›Full record

ArticleFrontiers in immunology2024

GLT8D2 is a prognostic biomarker and regulator of immune cell infiltration in gastric cancer.

Han Wang, Jiabin Zheng, Qingyang Ma, Junchang Zhang, Yong Li

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. The Critical Role of GALNTs-Regulated O-GalNAc Glycosylation in Cancer Malignancy.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
  5. 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

5 authors.

Han Wang *Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Jiabin Zheng *Department of Gastrointestinal Surgery, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Qingyang MaDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Junchang ZhangDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Yong LiDepartment of Gastrointestinal Surgery, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of the considerable tumor heterogeneity in gastric cancer (GC), only a limited group of patients experiences positive outcomes from immunotherapy. Herein, we aim to develop predictive models related to glycosylation genes to provide a more comprehensive understanding of immunotherapy for GC. RNA sequencing (RNA-seq) data and corresponding clinical outcomes were obtained from GEO and TCGA databases, and glycosylation-related genes were obtained from GlycoGene DataBase. We identified 48 differentially expressed glycosylation-related genes and established a prognostic model (seven prognosis genes including

Indexed as

Biomarkers, TumorGlycosyltransferasesLymphocytes, Tumor-InfiltratingStomach NeoplasmsFemaleGene Expression Regulation, NeoplasticGlycosylationHumansMaleMiddle AgedPrognosisTumor MicroenvironmentBiomarkers, TumorGLT8D2 protein, humanGlycosyltransferasesbiomarkergastric cancerGLT8D2glycosylationprognosis

Identifiers

PMID38840920
PMCPMC11150579

What OpenQuestion holds

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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.