Evidence map›Paper›PMID 38050871›Full record

ArticleCancer medicine2023

The genomic and immune landscapes of gastric cancer and their correlations with HER2 amplification and PD-L1 expression.

Xiaoqian Jing, Zhiping Luo, Jiayan Wu, Feng Ye, Jianfang Li, Zijia Song, Yaqi Zhang, Minmin Shi, Huaibo Sun, Yi Fang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 22% 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 3 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

12 authors at 3 institutions in 1 country.

Xiaoqian JingDepartment of General Surgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhiping LuoDepartment of General Surgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiayan WuGenecast Biotechnology Co., Ltd, Wuxi, Jiangsu, China.
Feng YeDepartment of General Surgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jianfang LiDepartment of General Surgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zijia SongDepartment of General Surgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yaqi ZhangDepartment of General Surgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Minmin ShiDepartment of General Surgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huaibo SunGenecast Biotechnology Co., Ltd, Wuxi, Jiangsu, China.
Yi FangDepartment of Emergency, Shanghai Tenth People's Hospital, Shanghai, China.
Yimei JiangDepartment of General Surgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaopin JiDepartment of General Surgery, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0005-7362-8098
Shanghai Jiao Tong University · CNGenecast (China) · CNShanghai Tenth People's Hospital · CN

Funding

National Natural Science Foundation of China 81902374Youth Development Program of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine KY20211514Youth Development Program of Shanghai Tenth People's Hospital 04.03.19.140
6 · The paper itself

Abstract

backgroundAnti-PD1/PD-L1 antibody plus human epidermal growth factor receptor 2 (HER2) antibody and chemotherapy have become the new first-line therapy for HER2 overexpression-positive advanced gastric cancers (GC), suggesting that HER2 and PD-L1 play a vital role in guiding systemic treatment for patients with GC. This study aimed to depict the genomic and immune landscapes of Chinese patients with GC and investigate their correlations with HER2 amplification and PD-L1 expression. PATIENTS AND

methodsNext-generation targeted sequencing and PD-L1 immunohistochemistry were performed on tumor samples from 735 patients with pathologically diagnosed GC. The genomic and immune landscapes and their correlations with HER2 amplification and PD-L1 expression were analyzed.

resultsThe most commonly mutated genes in Chinese GC were TP53 (64%), CDH1 (20%), ARID1A (18%), HMCN1 (15%), KMT2D (11%), and PIK3CA (11%). Seventy-six (10%) patients were HER2 amplification, and 291 (40%) had positive PD-L1 expression. Classifying the total population based on HER2 amplification and PD-L1 expression level, 735 patients were divided into four subgroups: HER2+/PD-L1+ (4.5%), HER2+/PD-L1- (5.9%), HER2-/PD-L1+ (35.1%), and HER2-/PD-L1- (54.5%). The HER2+/PD-L1- and HER2+/PD-L1+ subgroups exhibited dramatically higher rate of TP53 mutations, CCNE1 and VEGF amplifications. The HER2+/PD-L1- subgroup also had a markedly higher rate of MYC amplification and KRAS mutations. The HER2-/PD-L1+ subgroup had significantly higher rate of PIK3CA mutations. HER2+/PD-L1- subgroup had the highest TMB level and HER2-/PD-L1+ subgroup had the highest proportion of patients with microsatellite instability-high than other subgroups. Furthermore, we observed that different HER2 amplification levels had distinct impacts on the correlations between PD-L1 expression and therapeutic genomic alterations, but no impact on the prognosis.

conclusionThe combination of HER2 amplification and PD-L1 expression in Chinese patients with GC could stratify the total populations into several subgroups with distinctive genomic and immune landscapes, which should be considered when making personalized treatment decisions.

Indexed as

Stomach NeoplasmsB7-H1 AntigenErb-b2 Receptor Tyrosine KinasesGenomicsHumansMutationPrognosisB7-H1 AntigenCD274 protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine Kinasesgastric cancergenomic landscapeHER2 amplificationimmune landscapePD-L1

Identifiers

PMID38050871
PMCPMC10757096
OpenAlexW4389337809

What OpenQuestion holds

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LicenceCC BY
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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.