Evidence map›Paper›PMID 39162990›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2024

Single-cell RNA transcriptomic analyses of tumor microenvironment of ovarian metastasis in gastric cancer.

Guoyu Chen, Mingda Zhang, Xiaolin Lin, Qiqi Shi, Chenxin Xu, Bowen Sun, Xiuying Xiao, Haizhong Feng

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Guoyu Chen *State Key Laboratory of Systems Medicine for Cancer, Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Mingda Zhang *State Key Laboratory of Systems Medicine for Cancer, Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Xiaolin Lin *Department of Oncology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Qiqi ShiState Key Laboratory of Systems Medicine for Cancer, Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Chenxin XuState Key Laboratory of Systems Medicine for Cancer, Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Bowen SunState Key Laboratory of Systems Medicine for Cancer, Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Xiuying XiaoDepartment of Oncology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Haizhong FengState Key Laboratory of Systems Medicine for Cancer, Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China. fenghaizhong@sjtu.edu.cn.

Funding

National Key Research and Development Program of China 2022YFA1104001National Natural Science Foundation of China 32371004Program of Shanghai Cancer Institute Master and Ph.D. SB22-14Shanghai Municipal Committee of Science and Technology 21Y11913200the Program of Shanghai Academic/Technology Research Leader 21XD1403100
6 · The paper itself

Abstract

purposeOvarian metastasis of gastric cancer (GC), commonly referred to as Krukenberg tumors, leads to a poor prognosis. However, the cause of metastasis remains unknown. Here, we present an integrated single-cell RNA sequencing (scRNA-Seq) analysis of the immunological microenvironment of two paired clinical specimens with ovarian metastasis of GC.

methodsscRNA-Seq was performed to determine the immunological microenvironment in ovarian metastasis of gastric cancer. CellChat was employed to analyze cell-cell communications across different cell types. Functional enrichment analysis was done by enrichKEGG in clusterProfiler. GEPIA2 was used to assess the influence of certain genes and gene signatures on prognosis.

resultsThe ovarian metastasis tissues exhibit a heterogenous immunological microenvironment compared to the primary tumors. Exhaustion of T and B cells is observed in the ovarian metastasis tissues. Compared to the paired adjacent non-tumoral and primary tumors, the ratio of endothelial cells and fibroblasts is high in the ovarian metastasis tissues. Compared to primary ovarian cancers, we identify a specific group of tumor-associated fibroblasts with MFAP4 and CAPNS1 expression in the ovarian metastatic tissues of GC. We further define metastasis-related-endothelial and metastasis-related-fibroblast signatures and indicate that patients with these high signature scores have a poor prognosis. In addition, the ovarian metastasis tissue has a lower level of intercellular communications compared to the primary tumor.

conclusionOur findings reveal the immunological microenvironment of ovarian metastasis of gastric cancer and will promote the discovery of new therapeutic strategies for ovarian metastasis in gastric cancer.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticOvarian NeoplasmsSingle-Cell AnalysisStomach NeoplasmsTumor MicroenvironmentFemaleHumansPrognosisTranscriptomeGastric cancerImmunological microenvironmentOvarian metastasisSingle-cell RNA-Seq

Identifiers

PMID39162990
PMCPMC12974050

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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 Socratic graph.