Evidence map›Paper›PMID 37305583›Full record

ReviewFrontiers in oncology2023

Single-cell transcriptome sequencing reveals heterogeneity of gastric cancer: progress and prospects.

Gaohua Deng, Xu Zhang, Yonglan Chen, Sicheng Liang, Sha Liu, Zehui Yu, Muhan Lü

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

21 citing papers in PubMed.

  1. Organoid technology in cancer research.Molecular biomedicine · 2026
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  18. Highlights of how single-cell analyses are illuminating differentiation and disease in the gastric corpus.American journal of physiology. Gastrointestinal and liver physiology · 2024
    Review
  19. Review
  20. Article
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

7 authors.

Gaohua DengDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Xu ZhangDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Yonglan ChenDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Sicheng LiangDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Sha LiuDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Zehui YuLaboratory Animal Center, Southwest Medical University, Luzhou, Sichuan, China.
Muhan LüDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is one of the most serious malignant tumor and threatens the health of people worldwide. Its heterogeneity leaves many clinical problems unsolved. To treat it effectively, we need to explore its heterogeneity. Single-cell transcriptome sequencing, or single-cell RNA sequencing (scRNA-seq), reveals the complex biological composition and molecular characteristics of gastric cancer at the level of individual cells, which provides a new perspective for understanding the heterogeneity of gastric cancer. In this review, we first introduce the current procedure of scRNA-seq, and discuss the advantages and limitations of scRNA-seq. We then elaborate on the research carried out with scRNA-seq in gastric cancer in recent years, and describe how it reveals cell heterogeneity, the tumor microenvironment, oncogenesis and metastasis, as well as drug response in to gastric cancer, to facilitate early diagnosis, individualized therapy, and prognosis evaluation.

Indexed as

gastric cancerindividualized therapyoncogenesissingle-cell RNA sequencingtumor heterogeneity

Identifiers

PMID37305583
PMCPMC10249727

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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.