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A comprehensive analysis of somatic alterations in Chinese ovarian cancer patients
Ovarian cancer is one of the most common cancers in women and is often diagnosed as advanced stage because of the subtle symptoms of early ovarian cancer. To identify the somatic alterations and new biomarkers for the diagnosis and targeted therapy of Chinese ovarian cancer patients, a total of 65 C...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801677/ https://www.ncbi.nlm.nih.gov/pubmed/33432021 http://dx.doi.org/10.1038/s41598-020-79694-0 |
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author | Zhang, Yingli Shi, Xiaoliang Zhang, Jiejie Chen, Xi Zhang, Peng Liu, Angen Zhu, Tao |
author_facet | Zhang, Yingli Shi, Xiaoliang Zhang, Jiejie Chen, Xi Zhang, Peng Liu, Angen Zhu, Tao |
author_sort | Zhang, Yingli |
collection | PubMed |
description | Ovarian cancer is one of the most common cancers in women and is often diagnosed as advanced stage because of the subtle symptoms of early ovarian cancer. To identify the somatic alterations and new biomarkers for the diagnosis and targeted therapy of Chinese ovarian cancer patients, a total of 65 Chinese ovarian cancer patients were enrolled for detection of genomic alterations. The most commonly mutated genes in ovarian cancers were TP53 (86.15%, 56/65), NF1 (13.85%, 9/65), NOTCH3 (10.77%, 7/65), and TERT (10.77%, 7/65). Statistical analysis showed that TP53 and LRP1B mutations were associated with the age of patients, KRAS, TP53, and PTEN mutations were significantly associated with tumor differentiation, and MED12, LRP2, PIK3R2, CCNE1, and LRP1B mutations were significantly associated with high tumor mutational burden. The mutation frequencies of LRP2 and NTRK3 in metastatic ovarian cancers were higher than those in primary tumors, but the difference was not significant (P = 0.072, for both). Molecular characteristics of three patients responding to olapanib supported that BRCA mutation and HRD related mutations is the target of olaparib in platinum sensitive patients. In conclusion we identified the somatic alterations and suggested a group of potential biomarkers for Chinese ovarian cancer patients. Our study provided a basis for further exploration of diagnosis and molecular targeted therapy for Chinese ovarian cancer patients. |
format | Online Article Text |
id | pubmed-7801677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78016772021-01-13 A comprehensive analysis of somatic alterations in Chinese ovarian cancer patients Zhang, Yingli Shi, Xiaoliang Zhang, Jiejie Chen, Xi Zhang, Peng Liu, Angen Zhu, Tao Sci Rep Article Ovarian cancer is one of the most common cancers in women and is often diagnosed as advanced stage because of the subtle symptoms of early ovarian cancer. To identify the somatic alterations and new biomarkers for the diagnosis and targeted therapy of Chinese ovarian cancer patients, a total of 65 Chinese ovarian cancer patients were enrolled for detection of genomic alterations. The most commonly mutated genes in ovarian cancers were TP53 (86.15%, 56/65), NF1 (13.85%, 9/65), NOTCH3 (10.77%, 7/65), and TERT (10.77%, 7/65). Statistical analysis showed that TP53 and LRP1B mutations were associated with the age of patients, KRAS, TP53, and PTEN mutations were significantly associated with tumor differentiation, and MED12, LRP2, PIK3R2, CCNE1, and LRP1B mutations were significantly associated with high tumor mutational burden. The mutation frequencies of LRP2 and NTRK3 in metastatic ovarian cancers were higher than those in primary tumors, but the difference was not significant (P = 0.072, for both). Molecular characteristics of three patients responding to olapanib supported that BRCA mutation and HRD related mutations is the target of olaparib in platinum sensitive patients. In conclusion we identified the somatic alterations and suggested a group of potential biomarkers for Chinese ovarian cancer patients. Our study provided a basis for further exploration of diagnosis and molecular targeted therapy for Chinese ovarian cancer patients. Nature Publishing Group UK 2021-01-11 /pmc/articles/PMC7801677/ /pubmed/33432021 http://dx.doi.org/10.1038/s41598-020-79694-0 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zhang, Yingli Shi, Xiaoliang Zhang, Jiejie Chen, Xi Zhang, Peng Liu, Angen Zhu, Tao A comprehensive analysis of somatic alterations in Chinese ovarian cancer patients |
title | A comprehensive analysis of somatic alterations in Chinese ovarian cancer patients |
title_full | A comprehensive analysis of somatic alterations in Chinese ovarian cancer patients |
title_fullStr | A comprehensive analysis of somatic alterations in Chinese ovarian cancer patients |
title_full_unstemmed | A comprehensive analysis of somatic alterations in Chinese ovarian cancer patients |
title_short | A comprehensive analysis of somatic alterations in Chinese ovarian cancer patients |
title_sort | comprehensive analysis of somatic alterations in chinese ovarian cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801677/ https://www.ncbi.nlm.nih.gov/pubmed/33432021 http://dx.doi.org/10.1038/s41598-020-79694-0 |
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