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Pan-tumor survey of ROS1 fusions detected by next-generation RNA and whole transcriptome sequencing
BACKGROUND: Two ROS1 tyrosine kinase inhibitors have been approved for ROS1 fusion positive (ROS1+) non-small cell lung cancer (NSCLC) tumors. We performed a pan-tumor analysis of the incidence of ROS1 fusions to assess if more ROS1+ patients who could benefit from ROS1 TKIs could be identified. MET...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585918/ https://www.ncbi.nlm.nih.gov/pubmed/37853341 http://dx.doi.org/10.1186/s12885-023-11457-2 |
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author | Nagasaka, Misako Zhang, Shannon S. Baca, Yasmine Xiu, Joanne Nieva, Jorge Vanderwalde, Ari Swensen, Jeffrey J. Spetzler, David Korn, Wolfgang Michael Raez, Luis E. Liu, Stephen V. Ou, Sai-Hong Ignatius |
author_facet | Nagasaka, Misako Zhang, Shannon S. Baca, Yasmine Xiu, Joanne Nieva, Jorge Vanderwalde, Ari Swensen, Jeffrey J. Spetzler, David Korn, Wolfgang Michael Raez, Luis E. Liu, Stephen V. Ou, Sai-Hong Ignatius |
author_sort | Nagasaka, Misako |
collection | PubMed |
description | BACKGROUND: Two ROS1 tyrosine kinase inhibitors have been approved for ROS1 fusion positive (ROS1+) non-small cell lung cancer (NSCLC) tumors. We performed a pan-tumor analysis of the incidence of ROS1 fusions to assess if more ROS1+ patients who could benefit from ROS1 TKIs could be identified. METHODS: A retrospective analysis of ROS1 positive solid malignancies identified by targeted RNA sequencing and whole transcriptome sequencing of clinical tumor samples performed at Caris Life Science (Phoenix, AZ). RESULTS: A total of 259 ROS1+ solid malignancies were identified from approximately 175,350 tumors that underwent next-generation sequencing (12% from targeted RNA sequencing [Archer]; 88% from whole transcriptome sequencing). ROS1+ NSCLC constituted 78.8% of the ROS1+ solid malignancies, follow by glioblastoma (GBM) (6.9%), and breast cancer (2.7%). The frequency of ROS1 fusion was approximately 0.47% among NSCLC, 0.29% for GBM, 0.04% of breast cancer. The mean tumor mutation burden for all ROS1+ tumors was 4.8 mutations/megabase. The distribution of PD-L1 (22C3) expression among all ROS1+ malignancies were 0% (18.6%), 1%-49% (29.4%), and ≥ 50% (60.3%) [for NSCLC: 0% (17.8%); 1–49% (27.7%); ≥ 50% (53.9%). The most common genetic co-alterations of ROS1+ NSCLC were TP53 (29.1%), SETD2 (7.3%), ARIAD1A (6.3%), and U2AF1 (5.6%). CONCLUSIONS: ROS1+ NSCLC tumors constituted the majority of ROS1+ solid malignancies with four major fusion partners. Given that > 20% of ROS1+ solid tumors may benefit from ROS1 TKIs treatment, comprehensive genomic profiling should be performed on all solid tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11457-2. |
format | Online Article Text |
id | pubmed-10585918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105859182023-10-20 Pan-tumor survey of ROS1 fusions detected by next-generation RNA and whole transcriptome sequencing Nagasaka, Misako Zhang, Shannon S. Baca, Yasmine Xiu, Joanne Nieva, Jorge Vanderwalde, Ari Swensen, Jeffrey J. Spetzler, David Korn, Wolfgang Michael Raez, Luis E. Liu, Stephen V. Ou, Sai-Hong Ignatius BMC Cancer Research BACKGROUND: Two ROS1 tyrosine kinase inhibitors have been approved for ROS1 fusion positive (ROS1+) non-small cell lung cancer (NSCLC) tumors. We performed a pan-tumor analysis of the incidence of ROS1 fusions to assess if more ROS1+ patients who could benefit from ROS1 TKIs could be identified. METHODS: A retrospective analysis of ROS1 positive solid malignancies identified by targeted RNA sequencing and whole transcriptome sequencing of clinical tumor samples performed at Caris Life Science (Phoenix, AZ). RESULTS: A total of 259 ROS1+ solid malignancies were identified from approximately 175,350 tumors that underwent next-generation sequencing (12% from targeted RNA sequencing [Archer]; 88% from whole transcriptome sequencing). ROS1+ NSCLC constituted 78.8% of the ROS1+ solid malignancies, follow by glioblastoma (GBM) (6.9%), and breast cancer (2.7%). The frequency of ROS1 fusion was approximately 0.47% among NSCLC, 0.29% for GBM, 0.04% of breast cancer. The mean tumor mutation burden for all ROS1+ tumors was 4.8 mutations/megabase. The distribution of PD-L1 (22C3) expression among all ROS1+ malignancies were 0% (18.6%), 1%-49% (29.4%), and ≥ 50% (60.3%) [for NSCLC: 0% (17.8%); 1–49% (27.7%); ≥ 50% (53.9%). The most common genetic co-alterations of ROS1+ NSCLC were TP53 (29.1%), SETD2 (7.3%), ARIAD1A (6.3%), and U2AF1 (5.6%). CONCLUSIONS: ROS1+ NSCLC tumors constituted the majority of ROS1+ solid malignancies with four major fusion partners. Given that > 20% of ROS1+ solid tumors may benefit from ROS1 TKIs treatment, comprehensive genomic profiling should be performed on all solid tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11457-2. BioMed Central 2023-10-18 /pmc/articles/PMC10585918/ /pubmed/37853341 http://dx.doi.org/10.1186/s12885-023-11457-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Nagasaka, Misako Zhang, Shannon S. Baca, Yasmine Xiu, Joanne Nieva, Jorge Vanderwalde, Ari Swensen, Jeffrey J. Spetzler, David Korn, Wolfgang Michael Raez, Luis E. Liu, Stephen V. Ou, Sai-Hong Ignatius Pan-tumor survey of ROS1 fusions detected by next-generation RNA and whole transcriptome sequencing |
title | Pan-tumor survey of ROS1 fusions detected by next-generation RNA and whole transcriptome sequencing |
title_full | Pan-tumor survey of ROS1 fusions detected by next-generation RNA and whole transcriptome sequencing |
title_fullStr | Pan-tumor survey of ROS1 fusions detected by next-generation RNA and whole transcriptome sequencing |
title_full_unstemmed | Pan-tumor survey of ROS1 fusions detected by next-generation RNA and whole transcriptome sequencing |
title_short | Pan-tumor survey of ROS1 fusions detected by next-generation RNA and whole transcriptome sequencing |
title_sort | pan-tumor survey of ros1 fusions detected by next-generation rna and whole transcriptome sequencing |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585918/ https://www.ncbi.nlm.nih.gov/pubmed/37853341 http://dx.doi.org/10.1186/s12885-023-11457-2 |
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