Evidence map›Paper›PMID 38378847›Full record

ArticleScientific reports2024

ALDH2 is a novel biomarker and exerts an inhibitory effect on melanoma.

Hua Lei, Jinfeng Liao, Xinyu Wang, Rong Huang, Chuanpeng Ying, Jianing Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  3. DownregulatedCells · 2025
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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

6 authors at 1 institution in 1 country.

Hua Lei *Department of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China.
Jinfeng Liao *Department of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China.
Xinyu WangDepartment of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China.
Rong HuangDepartment of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China.
Chuanpeng YingDepartment of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China. yingchuanpeng@163.com.
Jianing YangDepartment of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China. dryangjn@163.com.
University of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is a malignant skin tumor. This study aimed to explore and assess the effect of novel biomarkers on the progression of melanoma. Differently expressed genes (DEGs) were screened from GSE3189 and GSE46517 datasets of Gene Expression Omnibus database using GEO2R. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were conducted based on the identified DEGs. Hub genes were identified and assessed using protein-protein interaction networks, principal component analysis, and receiver operating characteristic curves. Quantitative real-time polymerase chain reaction was employed to measure the mRNA expression levels. TIMER revealed the association between aldehyde dehydrogenase 2 (ALDH2) and tumor immune microenvironment. The viability, proliferation, migration, and invasion were detected by cell counting kit-8, 5-ethynyl-2'-deoxyuridine, wound healing, and transwell assays. Total 241 common DEGs were screened out from GSE3189 and GSE46517 datasets. We determined 6 hub genes with high prediction values for melanoma, which could distinguish tumor samples from normal samples. ALDH2, ADH1B, ALDH3A2, DPT, EPHX2, and GATM were down-regulated in A375 and SK-MEL-2 cells, compared with the human normal melanin cell line (PIG1 cells). ALDH2 was selected as the candidate gene in this research, presenting a high diagnostic and predictive value for melanoma. ALDH2 had a positive correlation with the infiltrating levels of immune cells in melanoma microenvironment. Overexpression of ALDH2 inhibited cell viability, proliferation, migration, and invasion of A375/SK-MEL-2 cells. ALDH2 is a new gene biomarker of melanoma, which exerts an inhibitory effect on melanoma.

Indexed as

MelanomaSkin NeoplasmsAldehyde Dehydrogenase, MitochondrialBiomarkersGene Expression ProfilingHumansProtein Interaction MapsTumor MicroenvironmentAldehyde Dehydrogenase, MitochondrialALDH2 protein, humanBiomarkersALDH2Differently expressed genesHub geneMelanoma

Identifiers

PMID38378847
PMCPMC10879513
OpenAlexW4391961530

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.