Disulfidptosis-Related Classification Patterns and Tumor Microenvironment Characterization in Skin Cutaneous Melanoma

Abstract

Aim: To identify distinct disulfidptosis-molecular subtypes and develop a novel prognostic signature. Methods/materials: We integrated into this study multiple SKCM transcriptomic datasets from the Cancer Genome Atlas database and Gene Expression Omnibus dataset. The consensus clustering algorithm was applied to categorize SKCM patients into different DRG subtypes. Results: Three distinct DRG subtypes were identified, which were correlated to different clinical outcomes and signaling pathways. Then, a disulfidptosis-relaed signature and nomogram were constructed, which could accurately predict the individual OS of patients with SKCM. The high-risk group was less sensitive to immunotherapy than the low-risk group. Conclusion: The signature can assist healthcare professionals in making more accurate and individualized treatment choices for patients with SKCM.

Graphical abstract

Keywords::

• disulfidptosis
• immunotherapy
• risk model
• skin cutaneous melanoma
• tumor microenvironment

Supplementary data

To view the supplementary data that accompany this paper please visit the journal website at: www.futuremedicine.com/doi/suppl/10.2217/mmt-2023-0006

Author contributions

L Yang, Z-j Cao and J Tian conceived the study. L Yang, Z-j Cao and Y Zhang contributed to sample collection and patient data management. L Yang, Z-j Cao, Y Zhang and J-k Zhou analyzed the samples and data. L Yang, Z-j Cao and J Tian wrote the manuscript draft. All authors contributed to the article and approved the submitted version.

Financial disclosure

This study was supported by the Natural Science Foundation of Shaanxi Province (No. 2021JQ-919), Shaanxi Provincial People’s Hospital 2020 Science and Technology Development Incubation foundation (No.2020YXM-05). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Competing interests disclosure

The authors have no competing interests or relevant affiliations with any organization or entity with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Writing disclosure

No writing assistance was utilized in the production of this manuscript.

Ethical conduct of research

The authors state that they have obtained appropriate institutional review board approval or have followed the principles outlined in the Declaration of Helsinki for all human or animal experimental investigations.

Additional information

Funding

This study was supported by the Natural Science Foundation of Shaanxi Province (No. 2021JQ-919), Shaanxi Provincial People’s Hospital 2020 Science and Technology Development Incubation foundation (No.2020YXM-05). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.