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HYDIN mutation status as a potential predictor of immune checkpoint inhibitor efficacy in melanoma
Background: The advent of immune checkpoint inhibitors (ICIs) has altered the outlook for cancer treatment. The estimation of predictive biomarkers could contribute to maximizing the benefits from ICIs treatment. Here, we explored the association between HYDIN mutations (HYDIN-MUT) in melanoma and I...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496993/ https://www.ncbi.nlm.nih.gov/pubmed/37595251 http://dx.doi.org/10.18632/aging.204925 |
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author | Li, Liu Tianrui, Kuang Chunlei, Li Zhendong, Qiu Xiaoyan, Chen Wenhong, Deng |
author_facet | Li, Liu Tianrui, Kuang Chunlei, Li Zhendong, Qiu Xiaoyan, Chen Wenhong, Deng |
author_sort | Li, Liu |
collection | PubMed |
description | Background: The advent of immune checkpoint inhibitors (ICIs) has altered the outlook for cancer treatment. The estimation of predictive biomarkers could contribute to maximizing the benefits from ICIs treatment. Here, we explored the association between HYDIN mutations (HYDIN-MUT) in melanoma and ICIs efficacy. Methods: Clinical data and sequencing data from published studies were utilized to assess the association between HYDIN-MUT and the efficacy of ICIs treatment in melanoma patients. Results: Compared to other tumor types, HYDIN (36.14%) has the highest mutation rate in melanoma patients. In the anti-PD-1 treated cohort (n = 254), the HYDIN-MUT patients had a longer OS after ICIs treatment than the HYDIN wild-type (HYDIN-WT) patients (HR = 0.590 [95% CI, 0.410-0.847], P = 0.004); the objective response rate (ORR) and durable clinical benefit (DCB) were increased in patients with HYDIN-MUT (ORR = 46.25, DCB = 56.00%) compared to patients with HYDIN-WT (ORR = 30.99%, DCB = 42.76%) (ORR: P = 0.019; DCB: P = 0.060). In the anti-CTLA4 treated cohort (n = 174), HYDIN-MUT patients achieved significantly longer OS than HYDIN-WT patients (HR = 0.549 [95% CI, 0.366-0.823], P = 0.003); the proportion of ORR and DCB in HYDIN-MUT patients was significantly higher than that in HYDIN-WT patients (ORR 40.54% vs. 14.42%, P = 0.031; DCB 45.76% vs. 22.22%, P = 0.002). Further gene set enrichment analysis demonstrated that DNA repair and anti-tumor immunity were significantly enhanced in HYDIN-MUT patients. Conclusions: HYDIN mutations are a potential predictive biomarker of ICIs efficacy in melanoma patients. |
format | Online Article Text |
id | pubmed-10496993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-104969932023-09-13 HYDIN mutation status as a potential predictor of immune checkpoint inhibitor efficacy in melanoma Li, Liu Tianrui, Kuang Chunlei, Li Zhendong, Qiu Xiaoyan, Chen Wenhong, Deng Aging (Albany NY) Research Paper Background: The advent of immune checkpoint inhibitors (ICIs) has altered the outlook for cancer treatment. The estimation of predictive biomarkers could contribute to maximizing the benefits from ICIs treatment. Here, we explored the association between HYDIN mutations (HYDIN-MUT) in melanoma and ICIs efficacy. Methods: Clinical data and sequencing data from published studies were utilized to assess the association between HYDIN-MUT and the efficacy of ICIs treatment in melanoma patients. Results: Compared to other tumor types, HYDIN (36.14%) has the highest mutation rate in melanoma patients. In the anti-PD-1 treated cohort (n = 254), the HYDIN-MUT patients had a longer OS after ICIs treatment than the HYDIN wild-type (HYDIN-WT) patients (HR = 0.590 [95% CI, 0.410-0.847], P = 0.004); the objective response rate (ORR) and durable clinical benefit (DCB) were increased in patients with HYDIN-MUT (ORR = 46.25, DCB = 56.00%) compared to patients with HYDIN-WT (ORR = 30.99%, DCB = 42.76%) (ORR: P = 0.019; DCB: P = 0.060). In the anti-CTLA4 treated cohort (n = 174), HYDIN-MUT patients achieved significantly longer OS than HYDIN-WT patients (HR = 0.549 [95% CI, 0.366-0.823], P = 0.003); the proportion of ORR and DCB in HYDIN-MUT patients was significantly higher than that in HYDIN-WT patients (ORR 40.54% vs. 14.42%, P = 0.031; DCB 45.76% vs. 22.22%, P = 0.002). Further gene set enrichment analysis demonstrated that DNA repair and anti-tumor immunity were significantly enhanced in HYDIN-MUT patients. Conclusions: HYDIN mutations are a potential predictive biomarker of ICIs efficacy in melanoma patients. Impact Journals 2023-08-17 /pmc/articles/PMC10496993/ /pubmed/37595251 http://dx.doi.org/10.18632/aging.204925 Text en Copyright: © 2023 Li et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Li, Liu Tianrui, Kuang Chunlei, Li Zhendong, Qiu Xiaoyan, Chen Wenhong, Deng HYDIN mutation status as a potential predictor of immune checkpoint inhibitor efficacy in melanoma |
title | HYDIN mutation status as a potential predictor of immune checkpoint inhibitor efficacy in melanoma |
title_full | HYDIN mutation status as a potential predictor of immune checkpoint inhibitor efficacy in melanoma |
title_fullStr | HYDIN mutation status as a potential predictor of immune checkpoint inhibitor efficacy in melanoma |
title_full_unstemmed | HYDIN mutation status as a potential predictor of immune checkpoint inhibitor efficacy in melanoma |
title_short | HYDIN mutation status as a potential predictor of immune checkpoint inhibitor efficacy in melanoma |
title_sort | hydin mutation status as a potential predictor of immune checkpoint inhibitor efficacy in melanoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496993/ https://www.ncbi.nlm.nih.gov/pubmed/37595251 http://dx.doi.org/10.18632/aging.204925 |
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