Evidence map›Paper›PMID 34307129›Full record

ArticleFrontiers in oncology2021

Establishment of an Immune Cell Infiltration Score to Help Predict the Prognosis and Chemotherapy Responsiveness of Gastric Cancer Patients.

Quan Jiang, Jie Sun, Hao Chen, Chen Ding, Zhaoqing Tang, Yuanyuan Ruan, Fenglin Liu, Yihong Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.0field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 38 citations in OpenAlex.

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  9. SLA2 is a prognostic marker in HNSCC and correlates with immune cell infiltration in the tumor microenvironment.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
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  15. Tertiary lymphoid structure patterns predicted anti-PD1 therapeutic responses in gastric cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2022
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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

8 authors at 4 institutions in 1 country.

Quan JiangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Jie SunDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Hao ChenDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Chen DingDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhaoqing TangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yuanyuan RuanDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
Fenglin LiuDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yihong SunDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
The First Affiliated Hospital, Sun Yat-sen University · CNZhongshan Hospital · CNFudan University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune microenvironment plays a critical role in tumor biology. The molecular profiles of immune components and related genes are of tremendous value for the study of primary resistance to immune checkpoint blockers (ICBs) for gastric cancer (GC) and serve as prognostic biomarkers to predict GC survival. Recent studies have revealed that tumor immune cell infiltration (ICI) is an indicator of the survival and responsiveness to chemotherapy in GC patients. Here, we describe the immune cell landscape based on the ESTIMATE and CIBERSORT algorithms to help separate GC into 3 ICI clusters using the unsupervised clustering method. Further in-depth analyses, such as differential expression gene (DEG) analysis and principal component analysis (PCA), help to establish an ICI scoring system. A low ICI score is characterized by an increased tumor mutation burden (TMB). The combination of the ICI score and TMB score better predicts the survival of GC patients. Analyses based on public and our own database revealed that the ICI scoring system could also help predict the survival and chemotherapy responsiveness of GC patients. The present study demonstrated that the ICI score may be an effective prognostic biomarker and predictive indicator for chemotherapy and immunotherapy.

Indexed as

chemotherapygastric cancerimmune cell infiltrationimmunotherapyprognosis factors

Identifiers

PMID34307129
PMCPMC8299334
OpenAlexW3180928968

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.