Evidence map›Paper›PMID 29691839›Full record

ArticleThe British journal of surgery2018

Gene expression profiles for a prognostic immunoscore in gastric cancer.

D Zeng, R Zhou, Y Yu, Y Luo, J Zhang, H Sun, J Bin, Y Liao, J Rao, Y Zhang and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed, 3 pooled it
10.9field-weighted citation impact, top 1% 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

148 citing papers in PubMed, 3 syntheses or guidelines pooled it, 213 citations in OpenAlex.

  1. Pooled it
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  4. Trial
  5. Article
  6. Immunoscore based on CD3American journal of cancer research · 2026
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  8. Deciphering the Role of CD14 inJournal of Cancer · 2025
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88 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

D ZengDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
R ZhouDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Y YuGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Breast Tumour Centre, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Y LuoDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
J ZhangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
H SunDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
J BinDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Y LiaoDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
J RaoKey Laboratory of New Drug Screening of Guangdong Province, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Y ZhangKey Laboratory of Zebrafish Modelling and Drug Screening for Human Diseases of Guangdong Higher Education Institutes, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
W LiaoDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Southern Medical University · CNNanfang Hospital · CNSun Yat-sen Memorial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing evidence has indicated an association between immune infiltration in gastric cancer and clinical outcome. However, reliable prognostic signatures, based on systematic assessments of the immune landscape inferred from bulk tumour transcriptomes, have not been established. The aim was to develop an immune signature, based on the cellular composition of the immune infiltrate inferred from bulk tumour transcriptomes, to improve the prognostic predictions of gastric cancer.

methodsTwenty-two types of immune cell fraction were estimated based on large public gastric cancer cohorts from the Gene Expression Omnibus using CIBERSORT. An immunoscore based on the fraction of immune cell types was then constructed using a least absolute shrinkage and selection operator (LASSO) Cox regression model.

resultsUsing the LASSO model, an immunoscore was established consisting of 11 types of immune cell fraction. In the training cohort (490 patients), significant differences were found between high- and low-immunoscore groups in overall survival across and within subpopulations with an identical TNM stage. Multivariable analysis revealed that the immunoscore was an independent prognostic factor (hazard ratio 1·92, 95 per cent c.i. 1·54 to 2·40). The prognostic value of the immunoscore was also confirmed in the validation (210) and entire (700) cohorts.

conclusionThe proposed immunoscore represents a promising signature for estimating overall survival in patients with gastric cancer.

Indexed as

TranscriptomeAdolescentAdultBiomarkers, TumorFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesStomach NeoplasmsSurvival RateYoung AdultBiomarkers, Tumor

Identifiers

PMID29691839
PMCPMC6099214
OpenAlexW2802343656

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.