Evidence map›Paper›PMID 36604653›Full record

ArticleJournal of translational medicine2023

Computed tomography-detected extramural venous invasion-related gene signature: a potential negative biomarker of immune checkpoint inhibitor treatment in patients with gastric cancer.

Hao Yang, Xinyi Gou, Caizhen Feng, Yinli Zhang, Fan Chai, Nan Hong, Yingjiang Ye, Yi Wang, Bo Gao, Jin Cheng

Abstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
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  3. Imaging genomics of cancer: a bibliometric analysis and review.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Hao Yang *Department of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xinyi Gou *Department of Radiology, Peking University People's Hospital, 11 Xizhimen South St., Beijing, 100044, China.
Caizhen FengDepartment of Radiology, Peking University People's Hospital, 11 Xizhimen South St., Beijing, 100044, China.
Yinli ZhangDepartment of Pathology, Peking University People's Hospital, Beijing, China.
Fan ChaiDepartment of Radiology, Peking University People's Hospital, 11 Xizhimen South St., Beijing, 100044, China.
Nan HongDepartment of Radiology, Peking University People's Hospital, 11 Xizhimen South St., Beijing, 100044, China.
Yingjiang YeDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Yi WangDepartment of Radiology, Peking University People's Hospital, 11 Xizhimen South St., Beijing, 100044, China. wang_yi@bjmu.edu.cn.
Bo GaoDepartment of General Surgery, Peking University People's Hospital, Beijing, 100044, China. bo.gao@bjmu.edu.cn.
Jin ChengDepartment of Radiology, Peking University People's Hospital, 11 Xizhimen South St., Beijing, 100044, China. chengjinpkuph@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the association between computed tomography (CT)-detected extramural venous invasion (EMVI)-related genes and immunotherapy resistance and immune escape in patients with gastric cancer (GC).

methodsThirteen patients with pathologically proven locally advanced GC who had undergone preoperative abdominal contrast-enhanced CT and radical resection surgery were included in this study. Transcriptome sequencing was multidetector performed on the cancerous tissue obtained during surgery, and EMVI-related genes (P value for association < 0.001) were selected. A single-sample gene set enrichment analysis algorithm was also used to divide all GC samples (n = 377) in The Cancer Genome Atlas (TCGA) database into high and low EMVI-immune related groups based on immune-related differential genes. Cluster analysis was used to classify EMVI-immune-related genotypes, and survival among patients was validated in TCGA and Gene Expression Omnibus (GEO) cohorts. The EMVI scores were calculated using principal component analysis (PCA), and GC samples were divided into high and low EMVI score groups. Microsatellite instability (MSI) status, tumor mutation burden (TMB), response rate to immune checkpoint inhibitors (ICIs), immune escape were compared between the high and low EMVI score groups. Hub gene of the model in pan-cancer analysis was also performed.

resultsThere were 17 EMVI-immune-related genes used for cluster analysis. PCA identified 8 genes (PCH17, SEMA6B, GJA4, CD34, ACVRL1, SOX17, CXCL12, DYSF) that were used to calculate EMVI scores. High EMVI score groups had lower MSI, TMB and response rate of ICIs, status but higher immune escape status. Among the 8 genes used for EMVI scores, CXCL12 and SOX17 were at the core of the protein-protein interaction (PPI) network and had a higher priority in pan-cancer analysis. Immunohistochemical analysis showed that the expression of CXCL12 and SOX17 was significantly higher in CT-detected EMVI-positive samples than in EMVI-negative samples (P < 0.0001).

conclusionA CT-detected EMVI gene signature could be a potential negative biomarker for ICIs treatment, as the signature is negatively correlated with TMB, and MSI, resulting in poorer prognosis.

Indexed as

Immune Checkpoint InhibitorsStomach NeoplasmsBiomarkers, TumorHumansNeoplasm InvasivenessPrognosisTomography, X-Ray ComputedBiomarkers, TumorImmune Checkpoint InhibitorsExtramural venous invasionGastric cancerImmunotherapyRadiogenomics

Identifiers

PMID36604653
PMCPMC9814439

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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.