Evidence map›Paper›PMID 35875363›Full record

ArticleCanadian journal of gastroenterology & hepatology2022

Delineating Molecular Subtypes through Gene Set Variation Analysis Confers Therapeutic and Prognostic Capability in Gastric Cancer.

Yuzhang Zhu, Ting Sun, Lei Zhang, Faming Fei, Yi Bao, Zhenzhen Gao

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of gastroenterology & hepatology, 2022. 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
0.2field-weighted citation impact, top 51% 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, 1 citations in OpenAlex.

  1. Article
  2. Review
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 2 institutions in 1 country.

Yuzhang ZhuDepartment of Clinical Oncology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Ting SunDepartment of Clinical Oncology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Lei ZhangDepartment of Clinical Oncology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Faming FeiHospice Care Center of Jiaxing, The Second Hospital, Jiaxing, China.
Yi BaoDepartment of Clinical Oncology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Zhenzhen GaoDepartment of Clinical Oncology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.ORCID 0000-0002-9518-7634
Jiaxing University · CNFirst Hospital of Jiaxing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To claim the features of nontumor tissue in gastric cancer patients, especially in those who have undergone gastrectomy, and to identify the molecular subtypes, we collected the immunogenic and hallmark gene sets from gene set enrichment analysis. The activity changes of these gene sets between tumor (375) and nontumor (32) tissues acquired from the Cancer Genome Atlas (TCGA-STAD) were calculated, and the novel molecular subtypes were delineated. Subsequently, prognostic gene sets were determined using least absolute shrinkage and selection operator (lasso) regression prognostic method. In addition, functional analysis was conducted. Totally, three subtypes were constructed in the present study, and there were differences in survival among three groups. Functional analysis showed genes from normal gene set were related to cell adhesion, and genes from tumor gene set were associated with focal adhesion, PI3K-Akt signaling pathway, regulation of actin cytoskeleton, and VEGF signaling pathway. Our study created lasting value beyond molecular subtypes and underscored the significance of normal tissues in gastric cancer development, which drawn a novel prognostic model for gastric treatment.

Indexed as

Stomach NeoplasmsBiomarkers, TumorHumansPhosphatidylinositol 3-KinasesPrognosisSignal TransductionBiomarkers, TumorPhosphatidylinositol 3-Kinases

Identifiers

PMID35875363
PMCPMC9307400
OpenAlexW4285491196

What OpenQuestion holds

Textmetadata
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.