Evidence map›Paper›PMID 41148223›Full record

SynthesisBriefings in bioinformatics2025

Genetic imputation of transcriptome and proteome illuminates novel therapeutic targets of cutaneous melanoma.

Yantao Xu, Poyee Lau, Jing Wang, Xiao-Rui Qiu, Zixi Jiang, Danyang Liu, Shuang Zhao, Lin Zhu, Xiang Chen, Weichu Sun and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Briefings in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Yantao XuDepartment of Dermatology, The Third Affiliated Hospital, Sun Yat-sen University, Tianhe District, Guangzhou 510630, Guangdong, China.
Poyee LauDepartment of Dermatology, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Luohu District, Shenzhen 518020, Guangdong, China.
Jing WangXiangya School of Medicine, Central South University, Yuelu District, Changsha 410013, Hunan, China.
Xiao-Rui QiuXiangya School of Medicine, Central South University, Yuelu District, Changsha 410013, Hunan, China.
Zixi JiangDepartment of Dermatology, The Third Affiliated Hospital, Sun Yat-sen University, Tianhe District, Guangzhou 510630, Guangdong, China.
Danyang LiuThe Center of Systems Biology and Data Science, Xiangya School of Medicine, Central South University, Yuelu District, Changsha 410013, Hunan, China.
Shuang ZhaoDepartment of Dermatology, Xiangya Hospital, Central South University, Kaifu District, Changsha 410008, Hunan, China.
Lin ZhuDepartment of Dermatology, Xiangya Hospital, Central South University, Kaifu District, Changsha 410008, Hunan, China.
Xiang ChenDepartment of Dermatology, Xiangya Hospital, Central South University, Kaifu District, Changsha 410008, Hunan, China.
Weichu SunXiangya Hospital, Central South University, Kaifu District, Changsha 410008, Hunan, China.
Jia-Chen LiuXiangya School of Medicine, Central South University, Yuelu District, Changsha 410013, Hunan, China.ORCID 0000-0002-0263-3704

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic heterogeneity in melanoma tumors remains a major obstacle to achieving durable responses with conventional and targeted therapies. In this study, we performed a genome-wide association study meta-analysis, integrated with proteome-wide Mendelian randomization and colocalization analyses, to identify potential therapeutic targets for cutaneous melanoma (CM). Analyzing data from 5527 CM cases and 645 797 controls, we uncovered seven novel genome-wide significant variants linked to CM risk. Additionally, genetically predicted protein levels revealed 15 proteins associated with CM susceptibility, among which ASIP, CD72, CCL11, LYZ, and CCL25 showed the strongest associations. Validation in independent cohorts further supported their potential as biomarkers. Notably, these protein-coding genes are predominantly expressed in macrophages, B cells, CD8 T cells, and malignant cells within CM tissue. Among them, CD72 and LYZ stand out as promising candidates for therapeutic repurposing. These findings enhance our understanding of CM-related genetic and protein biomarkers, providing a foundation for future therapeutic development.

Indexed as

MelanomaProteomeSkin NeoplasmsTranscriptomeBiomarkers, TumorGenome-Wide Association StudyHumansPolymorphism, Single NucleotideBiomarkers, TumorProteomebiomarkercutaneous melanomadrug repositioninggenome-wide association studiesproteintherapeutic target

Identifiers

PMID41148223
PMCPMC12560784

What Socratic holds

Textmetadata
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 Socratic graph.