Cargando…

Identification of RET fusions in a Chinese multicancer retrospective analysis by next‐generation sequencing

Fusion of RET with different partner genes has been detected in papillary thyroid, lung, colorectal, pancreatic, and breast cancer. Approval of selpercatinib for treatment of lung and thyroid cancer with RET gene mutations or fusions calls for studies to explore RET fusion partners and their eligibi...

Descripción completa

Detalles Bibliográficos
Autores principales: Shi, Minke, Wang, Weiran, Zhang, Jinku, Li, Bobo, Lv, Dongxiao, Wang, Danhua, Wang, Sizhen, Cheng, Dezhi, Ma, Tonghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748217/
https://www.ncbi.nlm.nih.gov/pubmed/34710947
http://dx.doi.org/10.1111/cas.15181
_version_ 1784630978833022976
author Shi, Minke
Wang, Weiran
Zhang, Jinku
Li, Bobo
Lv, Dongxiao
Wang, Danhua
Wang, Sizhen
Cheng, Dezhi
Ma, Tonghui
author_facet Shi, Minke
Wang, Weiran
Zhang, Jinku
Li, Bobo
Lv, Dongxiao
Wang, Danhua
Wang, Sizhen
Cheng, Dezhi
Ma, Tonghui
author_sort Shi, Minke
collection PubMed
description Fusion of RET with different partner genes has been detected in papillary thyroid, lung, colorectal, pancreatic, and breast cancer. Approval of selpercatinib for treatment of lung and thyroid cancer with RET gene mutations or fusions calls for studies to explore RET fusion partners and their eligibility for RET‐based targeted therapy. In this study, RET fusion patterns in a large group of Chinese cancer patients covering several cancer types were identified using next‑generation sequencing. A total of 44 fusion patterns were identified in the study cohort with KIF5B, CCDC6, and ERC1 being the most common RET fusion partners. Notably, 17 novel fusions were first reported in this study. Prevalence of functional RET fusions was 1.05% in lung cancer, 6.03% in thyroid cancer, 0.39% in colorectal cancer, and less than 0.1% in gastric cancer and hepatocellular carcinoma. Analysis showed a preference for fusion partners in different tumor types, with KIF5B being the common type in lung cancer, CCDC6 in thyroid cancer, and NCOA4 in colorectal cancer. Co‐occurrence of EGFR mutations and RET fusions with rare partner genes (rather than KIF5B) in lung cancer patients was correlated with epidermal growth factor receptor‐tyrosine kinase inhibitor resistance and could predict response to targeted therapies. Findings from this study provide a guide to clinicians in determining tumors with specific fusion patterns as candidates for RET targeted therapies.
format Online
Article
Text
id pubmed-8748217
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-87482172022-01-14 Identification of RET fusions in a Chinese multicancer retrospective analysis by next‐generation sequencing Shi, Minke Wang, Weiran Zhang, Jinku Li, Bobo Lv, Dongxiao Wang, Danhua Wang, Sizhen Cheng, Dezhi Ma, Tonghui Cancer Sci Original Articles Fusion of RET with different partner genes has been detected in papillary thyroid, lung, colorectal, pancreatic, and breast cancer. Approval of selpercatinib for treatment of lung and thyroid cancer with RET gene mutations or fusions calls for studies to explore RET fusion partners and their eligibility for RET‐based targeted therapy. In this study, RET fusion patterns in a large group of Chinese cancer patients covering several cancer types were identified using next‑generation sequencing. A total of 44 fusion patterns were identified in the study cohort with KIF5B, CCDC6, and ERC1 being the most common RET fusion partners. Notably, 17 novel fusions were first reported in this study. Prevalence of functional RET fusions was 1.05% in lung cancer, 6.03% in thyroid cancer, 0.39% in colorectal cancer, and less than 0.1% in gastric cancer and hepatocellular carcinoma. Analysis showed a preference for fusion partners in different tumor types, with KIF5B being the common type in lung cancer, CCDC6 in thyroid cancer, and NCOA4 in colorectal cancer. Co‐occurrence of EGFR mutations and RET fusions with rare partner genes (rather than KIF5B) in lung cancer patients was correlated with epidermal growth factor receptor‐tyrosine kinase inhibitor resistance and could predict response to targeted therapies. Findings from this study provide a guide to clinicians in determining tumors with specific fusion patterns as candidates for RET targeted therapies. John Wiley and Sons Inc. 2021-11-15 2022-01 /pmc/articles/PMC8748217/ /pubmed/34710947 http://dx.doi.org/10.1111/cas.15181 Text en © 2021 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Shi, Minke
Wang, Weiran
Zhang, Jinku
Li, Bobo
Lv, Dongxiao
Wang, Danhua
Wang, Sizhen
Cheng, Dezhi
Ma, Tonghui
Identification of RET fusions in a Chinese multicancer retrospective analysis by next‐generation sequencing
title Identification of RET fusions in a Chinese multicancer retrospective analysis by next‐generation sequencing
title_full Identification of RET fusions in a Chinese multicancer retrospective analysis by next‐generation sequencing
title_fullStr Identification of RET fusions in a Chinese multicancer retrospective analysis by next‐generation sequencing
title_full_unstemmed Identification of RET fusions in a Chinese multicancer retrospective analysis by next‐generation sequencing
title_short Identification of RET fusions in a Chinese multicancer retrospective analysis by next‐generation sequencing
title_sort identification of ret fusions in a chinese multicancer retrospective analysis by next‐generation sequencing
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748217/
https://www.ncbi.nlm.nih.gov/pubmed/34710947
http://dx.doi.org/10.1111/cas.15181
work_keys_str_mv AT shiminke identificationofretfusionsinachinesemulticancerretrospectiveanalysisbynextgenerationsequencing
AT wangweiran identificationofretfusionsinachinesemulticancerretrospectiveanalysisbynextgenerationsequencing
AT zhangjinku identificationofretfusionsinachinesemulticancerretrospectiveanalysisbynextgenerationsequencing
AT libobo identificationofretfusionsinachinesemulticancerretrospectiveanalysisbynextgenerationsequencing
AT lvdongxiao identificationofretfusionsinachinesemulticancerretrospectiveanalysisbynextgenerationsequencing
AT wangdanhua identificationofretfusionsinachinesemulticancerretrospectiveanalysisbynextgenerationsequencing
AT wangsizhen identificationofretfusionsinachinesemulticancerretrospectiveanalysisbynextgenerationsequencing
AT chengdezhi identificationofretfusionsinachinesemulticancerretrospectiveanalysisbynextgenerationsequencing
AT matonghui identificationofretfusionsinachinesemulticancerretrospectiveanalysisbynextgenerationsequencing