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Molecular profiling of Asian patients with advanced melanoma receiving check-point inhibitor treatment
OBJECTIVE: Melanoma is major medical challenge and being able to monitor treatment response is critical. This study aimed to use molecular profiling of Asian patients with advanced melanoma who were receiving treatment with check-point inhibitors (CPIs) to identify novel biomarkers of tumor response...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910729/ https://www.ncbi.nlm.nih.gov/pubmed/33399091 http://dx.doi.org/10.1016/j.esmoop.2020.100002 |
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author | Byeon, S. Cho, H.J. Jang, K.-T. Kwon, M. Lee, J. Lee, J. Kim, S.T. |
author_facet | Byeon, S. Cho, H.J. Jang, K.-T. Kwon, M. Lee, J. Lee, J. Kim, S.T. |
author_sort | Byeon, S. |
collection | PubMed |
description | OBJECTIVE: Melanoma is major medical challenge and being able to monitor treatment response is critical. This study aimed to use molecular profiling of Asian patients with advanced melanoma who were receiving treatment with check-point inhibitors (CPIs) to identify novel biomarkers of tumor response. METHODS: Next-generation sequencing (NGS) was performed using tumor specimens collected from 178 Asian patients with metastatic melanoma receiving CPIs. The NGS data and clinical-pathological factors were analyzed for potential genetic biomarkers of tumor response to CPI treatment. RESULTS: The most common melanoma subtype was acral melanoma (40%), followed by cutaneous melanoma (32%), mucosal melanoma (26%), and others (2%). For calculation of treatment efficacy, 164 of the patients could be evaluated. The overall response rate was 45.7%, of which 41 cases exhibited complete responses (25.0%) and 34 showed partial responses (20.7%). There were no significant differences in tumor responses based on melanoma subtype (P = 0.295). Genetically, NRAS mutations, TP53 mutations, and NF2 deletions were significantly associated with resistance to CPIs (P < 0.05). In contrast, MYC and RPS6KB1 amplifications were associated with responsiveness to CPIs (P < 0.05). Median progression-free survival (PFS) for patients treated with CPIs was 5.9 months (95% CI, 3.8-8.05 months). Univariate analysis identified TP53 and BRAF mutations, NF2 deletions, and BIRC2 amplifications as poor prognostic factors for PFS (P < 0.05). CONCLUSIONS: This study determined the integrated genomic profiles of Asian patients with metastatic melanoma receiving CPIs and identified candidate biomarkers that reflected treatment outcomes. |
format | Online Article Text |
id | pubmed-7910729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-79107292021-03-04 Molecular profiling of Asian patients with advanced melanoma receiving check-point inhibitor treatment Byeon, S. Cho, H.J. Jang, K.-T. Kwon, M. Lee, J. Lee, J. Kim, S.T. ESMO Open Original Research OBJECTIVE: Melanoma is major medical challenge and being able to monitor treatment response is critical. This study aimed to use molecular profiling of Asian patients with advanced melanoma who were receiving treatment with check-point inhibitors (CPIs) to identify novel biomarkers of tumor response. METHODS: Next-generation sequencing (NGS) was performed using tumor specimens collected from 178 Asian patients with metastatic melanoma receiving CPIs. The NGS data and clinical-pathological factors were analyzed for potential genetic biomarkers of tumor response to CPI treatment. RESULTS: The most common melanoma subtype was acral melanoma (40%), followed by cutaneous melanoma (32%), mucosal melanoma (26%), and others (2%). For calculation of treatment efficacy, 164 of the patients could be evaluated. The overall response rate was 45.7%, of which 41 cases exhibited complete responses (25.0%) and 34 showed partial responses (20.7%). There were no significant differences in tumor responses based on melanoma subtype (P = 0.295). Genetically, NRAS mutations, TP53 mutations, and NF2 deletions were significantly associated with resistance to CPIs (P < 0.05). In contrast, MYC and RPS6KB1 amplifications were associated with responsiveness to CPIs (P < 0.05). Median progression-free survival (PFS) for patients treated with CPIs was 5.9 months (95% CI, 3.8-8.05 months). Univariate analysis identified TP53 and BRAF mutations, NF2 deletions, and BIRC2 amplifications as poor prognostic factors for PFS (P < 0.05). CONCLUSIONS: This study determined the integrated genomic profiles of Asian patients with metastatic melanoma receiving CPIs and identified candidate biomarkers that reflected treatment outcomes. Elsevier 2020-12-16 /pmc/articles/PMC7910729/ /pubmed/33399091 http://dx.doi.org/10.1016/j.esmoop.2020.100002 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Byeon, S. Cho, H.J. Jang, K.-T. Kwon, M. Lee, J. Lee, J. Kim, S.T. Molecular profiling of Asian patients with advanced melanoma receiving check-point inhibitor treatment |
title | Molecular profiling of Asian patients with advanced melanoma receiving check-point inhibitor treatment |
title_full | Molecular profiling of Asian patients with advanced melanoma receiving check-point inhibitor treatment |
title_fullStr | Molecular profiling of Asian patients with advanced melanoma receiving check-point inhibitor treatment |
title_full_unstemmed | Molecular profiling of Asian patients with advanced melanoma receiving check-point inhibitor treatment |
title_short | Molecular profiling of Asian patients with advanced melanoma receiving check-point inhibitor treatment |
title_sort | molecular profiling of asian patients with advanced melanoma receiving check-point inhibitor treatment |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910729/ https://www.ncbi.nlm.nih.gov/pubmed/33399091 http://dx.doi.org/10.1016/j.esmoop.2020.100002 |
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