ArticleClinical, cosmetic and investigational dermatology2025
Cathepsins and Skin Cancer (Malignant Melanoma, Basal Cell Carcinoma, and Squamous Cell Carcinoma): Insight From Genetic Correlation and Mendelian Randomization.
Article in Clinical, cosmetic and investigational dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Ultra-High-Frequency Ultrasound of Melanoma Excision Scars for Detection of Clinically Occult Local Recurrence: A Single-Center Retrospective Study.Clinical, cosmetic and investigational dermatology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Multiple studies have indicated that cathepsins (Cats) play a crucial role in the development and progression of skin cancer. However, most of these studies are observational and may be influenced by external variables, necessitating further research to establish causal relationships. Methods: We conducted a two-sample, two-way Mendelian randomization (MR) study utilizing pooled data from genome-wide association studies (GWAS) to evaluate the causal association between 9 Cats (Cat-B, E, F, G, H, L2, O, S, and Z) and 3 types of skin cancer, including malignant melanoma (MM), basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). Our analysis employed several methods, including inverse variance weighting (IVW), MR-Egger, weighted median, Cochran's Results: Genetically predicted increases in Cat-F and Cat-O levels were found to be correlated with a higher risk of BCC, while increased levels of Cat-L2 and Cat-O were associated with a reduced incidence of SCC. Bioinformatics analysis suggested that differentially expressed genes located near Cats-related loci could potentially influence BCC and SCC by modulating relevant signaling pathways and the tumor microenvironment. Conclusion: Our research indicated a causal link between Cats and skin cancer. By conducting a bioinformatic analysis of genetic loci related to Cats and skin cancer, we were able to gain a better understanding of the potential molecular mechanisms driving this association. This research can provide valuable insights into the diagnosis and treatment of skin cancer.
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