Evidence map›Paper›PMID 36532001›Full record

ArticleFrontiers in immunology2022

Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma.

Xin Zhang, Ying Miao, Hao-Wen Sun, Yi-Xiao Wang, Wen-Min Zhao, A-Ying Pang, Xiao-Yan Wu, Cong-Cong Shen, Xiao-Dong Chen

Abstract read
In one paragraph

Article in Frontiers in immunology, 2022. 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

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

3 citing papers in PubMed.

  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

9 authors.

Xin ZhangDepartment of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Ying MiaoDepartment of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Hao-Wen SunDepartment of Gastroenterology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Yi-Xiao WangDepartment of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Wen-Min ZhaoDepartment of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
A-Ying PangDepartment of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Xiao-Yan WuDepartment of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Cong-Cong ShenDepartment of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Xiao-Dong ChenDepartment of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The m7G modification has been proven to play an important role in RNA post-transcriptional modification and protein translation. However, the potential role of m7G modification patterns in assessing the prognosis of Skin cutaneous melanoma (SKCM) and tumor microenvironment (TME) has not been well studied. In this study, we investigated and finally identified 21 available m7G-related genes. We used hierarchical clustering (K-means) to classify 743 SKCM patients into three m7G-modified subtypes named m7G/gene cluster-A, B, C. We found that both m7G cluster B and gene cluster B exhibited higher prognosis and higher immune cell infiltration in TME compared to other subtypes. EIF4E3 and IFIT5, two m7G related genes, were both markedly elevated in Cluster B. Then, we constructed an m7G score system utilizing principal component analysis (PCA) in order to evaluate the patients' prognosis. High m7G score subtype was associated with better survival prognosis and active immune response. Overall, this article revealed that m7G modification patterns were involved in the development of the tumor microenvironment. Evaluating patients' m7G modification patterns will enhance our understanding of TME characteristics and help to guide personal treatment in clinics in the future.

Indexed as

MelanomaSkin NeoplasmsCutaneous Malignant MelanomaHumansRisk AssessmentTumor Microenvironmentimmune microenvironmentimmunotherapyN7-methylguanosineprognosisskin cutaneous melanoma

Identifiers

PMID36532001
PMCPMC9751814

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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.