Evidence map›Paper›PMID 33441952›Full record

ArticleScientific reports2021

Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq.

Bin Wang, Yingyi Zhang, Tao Qing, Kaichen Xing, Jie Li, Timing Zhen, Sibo Zhu, Xianbao Zhan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.6field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 56 citations in OpenAlex.

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  12. Single-cell multi-omics in the study of digestive system cancers.Computational and structural biotechnology journal · 2024
    Review
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  15. Significance of dysregulated M2 macrophage andTranslational cancer research · 2024
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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

8 authors at 2 institutions in 1 country.

Bin WangDepartment of Oncology, Changhai Hospital, Second Military Medical University, No. 168 Changhai Road, Shanghai, 200433, China.
Yingyi ZhangDepartment of Oncology, Changhai Hospital, Second Military Medical University, No. 168 Changhai Road, Shanghai, 200433, China.
Tao QingSchool of Life Sciences, Fudan University, No. 2005 Songhu Road, Shanghai, 200438, China.
Kaichen XingShanghai Cinoasia Institute, Shanghai, 200438, China.
Jie LiShanghai Cinoasia Institute, Shanghai, 200438, China.
Timing ZhenShanghai Cinoasia Institute, Shanghai, 200438, China.
Sibo ZhuSchool of Life Sciences, Fudan University, No. 2005 Songhu Road, Shanghai, 200438, China. sibozhu@fudan.edu.cn.
Xianbao ZhanDepartment of Oncology, Changhai Hospital, Second Military Medical University, No. 168 Changhai Road, Shanghai, 200433, China. zhanxianbao@csco.org.cn.
Second Military Medical University · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is a leading cause of cancer-induced mortality, with poor prognosis with metastasis. The mechanism of gastric carcinoma lymph node metastasis remains unknown due to traditional bulk-leveled approaches masking the roles of subpopulations. To answer questions concerning metastasis from the gastric carcinoma intratumoural perspective, we performed single-cell level analysis on three gastric cancer patients with primary cancer and paired metastatic lymph node cancer tissues using single-cell RNA-seq (scRNA-seq). The results showed distinct carcinoma profiles from each patient, and diverse microenvironmental subsets were shared across different patients. Clustering data showed significant intratumoural heterogeneity. The results also revealed a subgroup of cells bridging the metastatic group and primary group, implying the transition state of cancer during the metastatic process. In the present study, we obtained a more comprehensive picture of gastric cancer lymph node metastasis, and we discovered some GC lymph node metastasis marker genes (ERBB2, CLDN11 and CDK12), as well as potential gastric cancer evolution-driving genes (FOS and JUN), which provide a basis for the treatment of GC.

Indexed as

AgedFemaleGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMaleMiddle AgedRNA-SeqSingle-Cell AnalysisStomach Neoplasms

Identifiers

PMID33441952
PMCPMC7806779
OpenAlexW3118815069

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.