Evidence map›Paper›PMID 34095982›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2021

A novel genomic classification system of gastric cancer via integrating multidimensional genomic characteristics.

Haiyong Wang, Yongfeng Ding, Yanyan Chen, Junjie Jiang, Yiran Chen, Jun Lu, Mei Kong, Fan Mo, Yingying Huang, Wenyi Zhao and 16 more

Open access · hybridAbstract read
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Advances in the molecular subtyping of gastric cancer.World journal of surgical oncology · 2026
    Review
  3. [Next-Generation Sequencing-Based Detection of Gene Mutations and Its Association With Clinicopathological Features in Gastric Cancer].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Genomic events stratifying prognosis of early gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Gastric Cancer in the Era of Epigenetics.International journal of molecular sciences · 2024
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Proteomic profiling of gastric cancer with peritoneal metastasis identifies a protein signature associated with immune microenvironment and patient outcome.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023
    Article
  20. The Human Gastric Juice: A Promising Source for Gastric Cancer Biomarkers.International journal of molecular sciences · 2023
    Review
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

26 authors at 4 institutions in 1 country.

Haiyong Wang *Department of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yongfeng Ding *Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yanyan Chen *Department of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Junjie JiangDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yiran ChenDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Jun LuDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Mei KongDepartment of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Fan MoInnovation Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences & Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Zhejiang University, Hangzhou, 310058, China.
Yingying HuangDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Wenyi ZhaoInnovation Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences & Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Zhejiang University, Hangzhou, 310058, China.
Ping FangDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Xiangliu ChenDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Xiaodong TengDepartment of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Nong XuDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yimin LuDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Xiongfei YuDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Zhongqi LiDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Jing ZhangDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Haohao WangDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Xuanwen BaoDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Donghui ZhouDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Ying ChiAlibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Alibaba DAMO Academy, Hangzhou, 311121, China.
Tianhua ZhouInstitute of Gastroenterology, Zhejiang University, Hangzhou, 310058, China.
Zhan ZhouInnovation Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences & Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Zhejiang University, Hangzhou, 310058, China. zhanzhou@zju.edu.cn.
Shuqing ChenInnovation Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences & Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Zhejiang University, Hangzhou, 310058, China. chenshuqing@zju.edu.cn.
Lisong TengDepartment of Surgical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China. lsteng@zju.edu.cn.ORCID http://orcid.org/0000-0001-6470-9017
First Affiliated Hospital Zhejiang University · CNZhejiang University · CNAlibaba Group (China) · CNZhejiang Lab · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is one of the leading causes of cancer deaths with high heterogeneity. There is currently a paucity of clinically applicable molecular classification system to guide precise medicine.

methodsA total of 70 Chinese patients with GC were included in this study and whole-exome sequencing was performed. Unsupervised clustering was undertaken to identify genomic subgroups, based on mutational signature, copy number variation, neoantigen, clonality, and essential genomic alterations. Subgroups were characterized by clinicopathological factors, molecular features, and prognosis.

resultsWe identified 32 significantly mutated genes (SMGs), including TP53, ARID1A, PIK3CA, CDH1, and RHOA. Of these, PREX2, PIEZO1, and FSIP2 have not been previously reported in GC. Using a novel genome-based classification method that integrated multidimensional genomic features, we categorized GC into four subtypes with distinct clinical phenotypes and prognosis. Subtype 1, which was predominantly Lauren intestinal type, harbored recurrent TP53 mutation and ERBB2 amplification, high tumor mutation burden (TMB)/tumor neoantigen burden (TNB), and intratumoral heterogeneity, with a liver metastasis tendency. Subtype 2 tended to occur at an elder age, accompanying with frequent TP53 and SYNE1 mutations, high TMB/TNB, and was associated with poor prognosis. Subtype 3 and subtype 4 included patients with mainly diffuse/mixed type tumors, high frequency of peritoneal metastasis, and genomical stability, whereas subtype 4 was associated with a favorable prognosis.

conclusionsBy integrating multidimensional genomic characteristics, we proposed a novel genomic classification system of GC associated with clinical phenotypes and provided a new insight to facilitate genome-guided risk stratification and disease management.

Indexed as

Genetic Predisposition to DiseaseGenomicsAdultAgedAged, 80 and overAsian PeopleChinaCohort StudiesFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPrecision MedicineStomach NeoplasmsGastric cancerGenomic landscapeMolecular classificationPrecision oncologyWhole-exome sequencing

Identifiers

PMID34095982
PMCPMC8502137
OpenAlexW3165895550

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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.