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The gene-panel obtained by anti-PD-1 monotherapy for melanoma reveals prognostic markers and therapeutic targets.

Journal of chemotherapy (Florence, Italy) 2026 Vol.38(1) p. 66-79

Wang M, Zhou Z, Wang Y, Wang L

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To search for key drug resistance biomarkers and potential chemotherapeutic agents for combination therapy in melanoma patients.

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APA Wang M, Zhou Z, et al. (2026). The gene-panel obtained by anti-PD-1 monotherapy for melanoma reveals prognostic markers and therapeutic targets.. Journal of chemotherapy (Florence, Italy), 38(1), 66-79. https://doi.org/10.1080/1120009X.2025.2465013
MLA Wang M, et al.. "The gene-panel obtained by anti-PD-1 monotherapy for melanoma reveals prognostic markers and therapeutic targets.." Journal of chemotherapy (Florence, Italy), vol. 38, no. 1, 2026, pp. 66-79.
PMID 39948732

Abstract

To search for key drug resistance biomarkers and potential chemotherapeutic agents for combination therapy in melanoma patients. The common up-regulated differentially expressed genes were acquired from two cohort studies, GSE91061 and PRJEB23709. Univariate and multivariate Cox regression survival analyses were performed to screen for important prognostic biomarkers. A multi-gene panel including , , and , not only plays an important role in prognostic indicators, but also in predicting the probability of resistance to anti-PD-1 in patients with melanoma. Chemotherapy drug response models found five potential drugs, including all-trans retinoic acid, doxorubicin, etoposide, methotrexate and MG-132, were significantly associated with target genes in gene-panel. Molecular docking confirmed that potential drugs have good binding ability to target genes , and suggesting that the multi-gene panel is expected to provide assistance for drug resistance prediction and prognosis assessment and combination therapy in patients with anti-PD-1 resistant melanoma.

MeSH Terms

Humans; Melanoma; Prognosis; Biomarkers, Tumor; Drug Resistance, Neoplasm; Programmed Cell Death 1 Receptor; Ubiquitin Thiolesterase; Molecular Docking Simulation; Immune Checkpoint Inhibitors

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