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

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 <i>APP</i>, <i>ARHGAP42</i>, <i>GSTA4</i> and <i>UCHL1</i>, 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 <i>APP</i>, <i>GSTA4</i> and <i>UCHL1,</i> 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.

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Publication Details

Journal
Journal of Chemotherapy
Published
2025-02-13
DOI
https://doi.org/10.1080/1120009x.2025.2465013
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
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article

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

Zhike Zhou, Lixin Wang, Miaomiao Wang, Yingying Wang
Journal of Chemotherapy
Cancer Immunotherapy and Biomarkers
article

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

Zhike Zhou, Lixin Wang, Miaomiao Wang, Yingying Wang
article en

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 <i>APP</i>, <i>ARHGAP42</i>, <i>GSTA4</i> and <i>UCHL1</i>, 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 <i>APP</i>, <i>GSTA4</i> and <i>UCHL1,</i> 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.

Journal of ChemotherapyVol. 38(1)
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN), Qingdao Municipal Hospital (CN)
Good health and well-being
Openalex Percentile: Top 96%
Cancer Immunotherapy and Biomarkers
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