Evidence map›Paper›PMID 37666853›Full record

ArticleScientific reports2023

Molecular characteristics and therapeutic implications of Toll-like receptor signaling pathway in melanoma.

Hewen Guan, Xu Chen, Jifeng Liu, Jiaao Sun, Hui Guo, Yuankuan Jiang, Huimin Zhang, Biao Zhang, Jingrong Lin, Qihang Yuan

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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.

Hewen Guan *Department of Dermatology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Xu Chen *Department of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Jifeng Liu *Department of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Jiaao Sun *Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Hui GuoDepartment of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Yuankuan JiangDepartment of Dermatology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Huimin ZhangDepartment of Oncology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Biao ZhangDepartment of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China. afn199505@163.com.
Jingrong LinDepartment of Dermatology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China. amy4963@163.com.
Qihang YuanDepartment of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China. qihangdy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is a malignant tumor of melanocytes and is often considered immunogenic cancer. Toll-like receptor-related genes are expressed differently in most types of cancer, depending on the immune microenvironment inside cancer, and the key function of Toll-like receptors (TLRs) for melanoma has not been fully elucidated. Based on multi-omics data from TCGA and GEO databases, we first performed pan-cancer analysis on TLR, including CNV, SNV, and mRNA changes in TLR-related genes in multiple human cancers, as well as patient prognosis characterization. Then, we divided melanoma patients into three subgroups (clusters 1, 2, and 3) according to the expression of the TLR pathway, and explored the correlation between TLR pathway and melanoma prognosis, immune infiltration, metabolic reprogramming, and oncogene expression characteristics. Finally, through univariate Cox regression analysis and LASSO algorithm, we selected six TLR-related genes to construct a survival prognostic model, divided melanoma patients into the training set, internal validation set 1, internal validation set 2, and external validation set for multiple validations, and discussed the correlation between model genes and clinical features of melanoma patients. In conclusion, we constructed a prognostic survival model based on TLR-related genes that precisely and independently demonstrated the potential to assess the prognosis and immune traits of melanoma patients, which is critical for patients' survival.

Indexed as

MelanomaAlgorithmsHumansMelanocytesOncogenesSignal TransductionTumor Microenvironment

Identifiers

PMID37666853
PMCPMC10477197

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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.