Evidence map›Paper›PMID 34844613›Full record

ArticleCancer cell international2021

Correlation of CCL8 expression with immune cell infiltration of skin cutaneous melanoma: potential as a prognostic indicator and therapeutic pathway.

Peipei Yang, Wanrong Chen, Hua Xu, Junhan Yang, Jinghang Jiang, Yunhui Jiang, Ganglin Xu

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.3field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 52 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

7 authors at 2 institutions in 1 country.

Peipei Yang *Department of Dermatology, Jingmen No. 2 People's Hospital, No. 39 Xiangshan Road Dongbao Zone, Jingmen, 448000, Hubei, China.
Wanrong Chen *Graduate School, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Hua XuDepartment of Pathology, Jingmen No. 2 People's Hospital, No. 39 Xiangshan Road Dongbao Zone, Jingmen, 448000, Hubei, China.
Junhan YangDepartment of Dermatology, Jingmen No. 2 People's Hospital, No. 39 Xiangshan Road Dongbao Zone, Jingmen, 448000, Hubei, China.
Jinghang JiangGraduate School, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Yunhui JiangDepartment of Pathology, Jingmen No. 2 People's Hospital, No. 39 Xiangshan Road Dongbao Zone, Jingmen, 448000, Hubei, China. jmyunhuijiang@163.com.
Ganglin XuDepartment of Dermatology, Jingmen No. 2 People's Hospital, No. 39 Xiangshan Road Dongbao Zone, Jingmen, 448000, Hubei, China. jmganglinxu@163.com.ORCID http://orcid.org/0000-0001-8759-7943
First People’s Hospital of Jingmen · CNGuangxi Medical University · CN

Funding

general science and technology planning project of jingmen 2020YFYB009
6 · The paper itself

Abstract

backgroundThe tumor microenvironment (TME) is critical in the progression and metastasis of skin cutaneous melanoma (SKCM). Differences in tumor-infiltrating immune cells (TICs) and their gene expression have been linked to cancer prognosis. Given that immunotherapy can be effective against SKCM, we aimed to identify key genes that regulate the immunological state of the TME in SKCM.

methodsData from 471 SKCM patients in the The Cancer Genome Atlas were analyzed using ESTIMATE algorithms to generate an ImmuneScore, StromalScore, and EstimateScore for each patient. Patients were classified into low- or high-score groups based on median values, then compared in order to identify differentially expressed genes (DEGs). Then a protein-protein interaction (PPI) network was developed, and a prognostic model was created using uni- and multivariate Cox regression as well as the least absolute shrinkage and selection operator (LASSO). Key DEGs were identified using the web-based tool GEPIA. Profiles of TIC subpopulations in each patient were analyzed using CIBORSORT, and possible correlations between key DEG expression and TICs were explored. Levels of CCL8 were determined in SKCM and normal skin tissue using immunohistochemistry.

resultsTwo scores correlated positively with the prognosis of SKCM patients. Comparison of the low- and high-score groups revealed 1684 up-regulated and 18 down-regulated DEGs, all of which were enriched in immune-related functions. The prognostic model identified CCL8 as a key gene, which CIBERSORT found to correlate with M1 macrophages. Immunohistochemistry revealed strong expression in SKCM tissue, but failed to detect the protein in normal skin tissue.

conclusionsCCL8 is a potential prognostic marker for SKCM, and it may become an effective target for melanoma in which M1 macrophages play an important role.

Indexed as

M1 macrophagesSkin cutaneous melanomaTumor-infiltrating immune cellsTumor microenvironment

Identifiers

PMID34844613
PMCPMC8628426
OpenAlexW3217309121

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LicenceCC BY
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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.