Evidence map›Paper›PMID 36650362›Full record

ArticleCancer immunology, immunotherapy : CII2023

Comprehensive analysis of immune subtypes reveals the prognostic value of cytotoxicity and FAP

Xin Wang, Sun Hui, Cong Tan, Zhenzhong Deng, Xu Wang, Weiwei Weng, Meng Zhang, Shujuan Ni, Lei Wang, Dan Huang and 3 more

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

13 authors at 4 institutions in 1 country.

Xin Wang *Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Sun Hui *Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Cong Tan *Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Zhenzhong DengDepartment of Oncology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200092, People's Republic of China.
Xu WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Weiwei WengDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Meng ZhangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Shujuan NiDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Lei WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Dan HuangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Wenfeng WangShanghai Urological Cancer Institute, Cancer Institute, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, People's Republic of China. wangwenfeng1011@163.com.
Midie XuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China. xumd27202003@sina.com.
Weiqi ShengDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China. shengweiqi2006@163.com.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CNFudan University · CNXinHua Hospital · CN

Funding

National Natural Science Foundation of China 81972249
6 · The paper itself

Abstract

backgroundThe heterogeneity limits the effective application of immune checkpoint inhibitors for patients with stomach adenocarcinoma (STAD). Precise immunotyping can help select people who may benefit from immunotherapy and guide postoperative management by describing the characteristics of tumor microenvironment.

methodsGene expression profiles and clinical information of patients were collected from ACRG and TCGA-STAD datasets. The immune subtypes (ISs) were identified by consensus clustering analysis. The tumor immune microenvironments (TIME) of each IS were characterized using a series of immunogenomics methods and further confirmed by multiplex immunohistochemistry (mIHC) staining in clinical samples. Two online datasets and one in-house dataset were utilized to construct and validate a prognostic immune-related gene (IRG) signature.

resultsSTAD patients were stratified into five reproducible ISs. IS1 (immune deserve subtype) had low immune infiltration and the highest degree of HER2 gene mutation. With abundant CD8

conclusionsThe immunotyping is indicative for characterize the TIME heterogeneity and the prediction of tumor prognosis for STADs, which may provide valuable stratification for the design of future immunotherapy.

Indexed as

AdenocarcinomaStomach NeoplasmsCD8-Positive T-LymphocytesFibroblast Activation Protein AlphaFibroblastsHumansPrognosisTumor MicroenvironmentFibroblast Activation Protein AlphaImmune subtypeMolecular characteristicsPrognosisStomach adenocarcinomaTumor immune environments

Identifiers

PMID36650362
PMCPMC10991216
OpenAlexW4316925810

What OpenQuestion holds

Textmetadata
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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.