Evidence map›Paper›PMID 35530289›Full record

ArticleAmerican journal of cancer research2022

Identification of immune-related biomarkers associated with tumorigenesis and prognosis in skin cutaneous melanoma.

Zhong-Hao Ji, Wen-Zhi Ren, Shuo Yang, Dong-Xu Wang, Zi-Ping Jiang, Chao Lin, Ye Jin, Wen-Tai Tian

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 13 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

8 authors at 3 institutions in 1 country.

Zhong-Hao JiDepartment of Hand and Foot Surgery, First Hospital Jilin University Changchun, Jilin, China.
Wen-Zhi RenDepartment of Laboratory Animals, College of Animal Sciences, Jilin University Changchun, Jilin, China.
Shuo YangDepartment of Laboratory Animals, College of Animal Sciences, Jilin University Changchun, Jilin, China.
Dong-Xu WangDepartment of Laboratory Animals, College of Animal Sciences, Jilin University Changchun, Jilin, China.
Zi-Ping JiangDepartment of Hand and Foot Surgery, First Hospital Jilin University Changchun, Jilin, China.
Chao LinSchool of Grain Science and Technology, Jilin Business and Technology College Changchun, China.
Ye JinDepartment of Pharmacy, Changchun University of Chinese Medicine Changchun, China.
Wen-Tai TianDepartment of Hand and Foot Surgery, First Hospital Jilin University Changchun, Jilin, China.
Jilin University · CNChangchun University of Chinese Medicine · CNJilin Province Science and Technology Department · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin cutaneous melanoma (SKCM) is one of the most malignant and aggressive forms of cancer. Investigating the mechanisms of carcinogenesis further could lead to the discovery of prognostic biomarkers that could be used to guide cancer treatment. In this study, we conducted integrative bioinformatics analyses of TCGA database, STRING, cBioPortal, TRRUST, The Human Protein Atlas, and DGIdb to determine which hub genes contributed to tumor progression and the cancer-associated immunology of SKCM. The results show that immune-related 873 differential genes grouped SKCM samples into subtypes. The initial results showed that the optimal number of clusters was two subgroups. Further analysis showed that there were significant differences in survival rate and immune infiltration level between the two subgroups. Subsequently, obtaining the different genes between groups, construct PPI to screen 6 hub genes (HLA-DPA1, HLA-DPB1, HLA-DQA1, HLA-DRA, HLA-DRB1, HLA-DRB5). In total, 6 MHC class II molecules were significantly related to overall survival. We then analyzed the expression of these genes along with their mutation landscapes, transcription factor regulation, and drug regulatory networks. In summary, our study identified 6 MHC class II molecules (HLA-DPA1, HLA-DPB1, HLA-DQA1, HLA-DRA, HLA-DRB1, HLA-DRB5) as important biomarkers in the occurrence and progression of SKCM tumors. Their expression levels are closely related to prognosis and immune infiltration and can help us better understand the tumorigenesis of SKCM.

Indexed as

biomarkerCutaneous melanomaHLAimmuneinfiltrationprognosis

Identifiers

PMID35530289
PMCPMC9077068
OpenAlexW4285742287

What Socratic holds

Textmetadata
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 Socratic graph.