Evidence map›Paper›PMID 38002057›Full record

ArticleBiomedicines2023

Intercellular Molecular Crosstalk Networks within Invasive and Immunosuppressive Tumor Microenvironment Subtypes Associated with Clinical Outcomes in Four Cancer Types.

Jinfen Wei, Wenqi Yu, Lei Wu, Zixi Chen, Guanda Huang, Meiling Hu, Hongli Du

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

7 authors at 1 institution in 1 country.

Jinfen WeiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Wenqi YuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Lei WuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Zixi ChenSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Guanda HuangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Meiling HuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Hongli DuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
South China University of Technology · CN

Funding

China Postdoctoral Science Foundation 2021M701253National Key R&D Program of China 2018YFC0910201Science and Technology Planning Project of Guangzhou 2023A04J1102the Key R&D Program of Guangdong Province 2019B020226001
6 · The paper itself

Abstract

Heterogeneity is a critical basis for understanding how the tumor microenvironment (TME) contributes to tumor progression. However, an understanding of the specific characteristics and functions of TME subtypes (subTMEs) in the progression of cancer is required for further investigations into single-cell resolutions. Here, we analyzed single-cell RNA sequencing data of 250 clinical samples with more than 200,000 cells analyzed in each cancer datum. Based on the construction of an intercellular infiltration model and unsupervised clustering analysis, four, three, three, and four subTMEs were revealed in breast, colorectal, esophageal, and pancreatic cancer, respectively. Among the subTMEs, the immune-suppressive subTME (subTME-IS) and matrix remodeling with malignant cells subTME (subTME-MRM) were highly enriched in tumors, whereas the immune cell infiltration subTME (subTME-ICI) and precancerous state of epithelial cells subTME (subTME-PSE) were less in tumors, compared with paracancerous tissues. We detected and compared genes encoding cytokines, chemokines, cytotoxic mediators, PD1, and PD-L1. The results showed that these genes were specifically overexpressed in different cell types, and, compared with normal tissues, they were upregulated in tumor-derived cells. In addition, compared with other subTMEs, the expression levels of

Indexed as

C5AR1-RPS19cell-cell interactionCOL1A1-SDC1COL6A3-SDC1immunosuppressiveLGALS9-HAVCR2single-cell RNA-seqSPP1-PTGER4tumor invasiontumor microenvironment subtypes

Identifiers

PMID38002057
PMCPMC10669098
OpenAlexW4388704384

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.