Evidence map›Paper›PMID 38938448›Full record

ArticleInternational journal of genomics2024

Single-Cell RNA Sequencing Identifies Crucial Genes Influencing the Polarization of Tumor-Associated Macrophages in Liver Cancer.

Kedong Xu, Mingyi Dong, Zhengqiang Wu, Linfei Luo, Fei Xie, Fan Li, Hongyan Huang, Fenfen Wang, Xiaofeng Xiong, Zhili Wen

Abstract read
In one paragraph

Article in International journal of genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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.

Kedong XuDepartment of Gastroenterology The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.ORCID https://orcid.org/0009-0008-2752-381X
Mingyi DongDepartment of Gastroenterology The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Zhengqiang WuDepartment of Gastroenterology The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Linfei LuoDepartment of Gastroenterology The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Fei XieDepartment of Gastroenterology The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Fan LiDepartment of Gastroenterology The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Hongyan HuangDepartment of Gastroenterology The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Fenfen WangDepartment of Gastroenterology The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Xiaofeng XiongDepartment of Gastroenterology The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Zhili WenDepartment of Gastroenterology The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0001-5797-9588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the context of hepatocellular carcinoma (HCC), tumor-associated macrophages (TAMs) are pivotal for the immunosuppressive nature of the tumor microenvironment (TME). This investigation delves into the functional transformations of TAMs within the TME by leveraging single-cell transcriptomics to pinpoint critical genes influencing TAM subset polarization. Methods: We procured single-cell and bulk transcriptomic data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA), implementing quality assurance, dimensional reduction, clustering, and annotation on the single-cell sequencing data. To examine cellular interactions, CellChat was utilized, while single-cell regulatory network inference and clustering (SCENIC) was applied to deduce transcription factors (TFs) and their associated targets. Through gene enrichment, survival, and immune infiltration correlation analyses, we sought to pinpoint and validate influential genes. A TAM model under HCC conditions was then established to confirm the expression levels of these key genes. Results: Our analysis encompassed 74,742 cells and 23,110 genes. Through postdimensional reduction and clustering, we identified seven distinct cell types and nine TAM subtypes. Analysis via CellChat highlighted a predominance of M2-phenotype-inclined TAM subsets within the tumor's core. SCENIC pinpointed the transcription factor PRDM1 and its target genes as pivotal in this region. Further analysis indicated these genes' involvement in macrophage polarization. Employing trajectory analysis, survival analysis, and immune infiltration correlation, we scrutinized and validated genes likely directing M2 polarization. Experimental validation confirmed PRDM1's heightened expression in TAMs conditioned by HCC. Conclusions: Our findings suggest the PRDM1 gene is a key regulator of M2 macrophage polarization, contributing to the immunosuppressive TME in HCC.

Identifiers

PMID38938448
PMCPMC11208785

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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.