Evidence map›Paper›PMID 36467341›Full record

ArticleAnnals of translational medicine2022

Single-cell transcriptome analysis of tumor immune microenvironment characteristics in colorectal cancer liver metastasis.

Yiting Geng, Jun Feng, Hao Huang, Ying Wang, Xing Yi, Shanshan Wei, Mingyue Zhang, Zhong Li, Wei Wang, Wenwei Hu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 28 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

10 authors at 1 institution in 1 country.

Yiting GengDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Jun FengDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Hao HuangDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Ying WangDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Xing YiDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Shanshan WeiDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Mingyue ZhangDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Zhong LiDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Wei WangDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Wenwei HuDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Liver metastasis is the leading cause of death in colorectal cancer (CRC) patients, and the precise mechanisms remain unclear. In this study, single-cell RNA sequencing (scRNA-seq) was used to analyze the cellular and molecular heterogeneity between CRC primary lesion and corresponding liver metastasis, and to clarify the characteristics of the tumor microenvironment (TME) in synchronous liver metastasis of CRC. Methods: A case of microsatellite stable (MSS) sigmoid carcinoma with synchronous liver metastasis was selected, and tissues from the primary tumor and the liver metastasis were collected for scRNA-seq. The EdgeR package software was used to identify the differentially expressed genes between cells. Gene Set Enrichment Analysis (GSEA) was performed and the clusterProfiler R package was used for Gene Ontology (GO) enrichment analysis. The SCENIC and CellphoneDB packages were used to reconstruct the transcriptional regulatory networks and to analyze the intercellular interaction network, respectively. Results: Compared to the primary tumor, the proportion of myeloid cells in the metastatic tumor was significantly increased, while B cells and plasma cells were decreased. In the metastatic tumor, the myeloid-derived suppressor cell (MDSC) characteristic gene, mannose receptor C-type 1 (MRC1) and tumor associated macrophage 2 (TAM2)-related gene, were highly expressed. Furthermore, angiogenesis, oxidative phosphorylation, and endothelial mesenchymal transition (EMT) of myeloid cells were also significantly enhanced. There were less myeloid cells in primary tumors, and these were mainly monocytes and TAM1; while the number of TAM2 was significantly upregulated in the metastatic samples. In liver metastasis, the T cell population was exhausted, and this was accompanied by a significant increase in the number of CD4 Conclusions: The TME of CRC liver metastasis is significantly immunosuppressed. Interactions between myeloid cells and other cell populations in the TME contribute to the establishment of a pro-metastatic niche that promotes colonization and growth of CRC cells in the liver. TAMs may be a potential immunotherapeutic target for MSS CRC.

Indexed as

Colorectal cancer (CRC)liver metastasissingle-cell RNA sequencingtumor immune microenvironmenttumor microenvironment

Identifiers

PMID36467341
PMCPMC9708492
OpenAlexW4309027855

What OpenQuestion holds

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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.