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CRISPR-mediated modeling and functional validation of candidate tumor suppressor genes in small cell lung cancer
Small cell lung cancer (SCLC) is a highly aggressive subtype of lung cancer that remains among the most lethal of solid tumor malignancies. Recent genomic sequencing studies have identified many recurrently mutated genes in human SCLC tumors. However, the functional roles of most of these genes rema...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955235/ https://www.ncbi.nlm.nih.gov/pubmed/31871154 http://dx.doi.org/10.1073/pnas.1821893117 |
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author | Ng, Sheng Rong Rideout, William M. Akama-Garren, Elliot H. Bhutkar, Arjun Mercer, Kim L. Schenkel, Jason M. Bronson, Roderick T. Jacks, Tyler |
author_facet | Ng, Sheng Rong Rideout, William M. Akama-Garren, Elliot H. Bhutkar, Arjun Mercer, Kim L. Schenkel, Jason M. Bronson, Roderick T. Jacks, Tyler |
author_sort | Ng, Sheng Rong |
collection | PubMed |
description | Small cell lung cancer (SCLC) is a highly aggressive subtype of lung cancer that remains among the most lethal of solid tumor malignancies. Recent genomic sequencing studies have identified many recurrently mutated genes in human SCLC tumors. However, the functional roles of most of these genes remain to be validated. Here, we have adapted the CRISPR-Cas9 system to a well-established murine model of SCLC to rapidly model loss-of-function mutations in candidate genes identified from SCLC sequencing studies. We show that loss of the gene p107 significantly accelerates tumor progression. Notably, compared with loss of the closely related gene p130, loss of p107 results in fewer but larger tumors as well as earlier metastatic spread. In addition, we observe differences in proliferation and apoptosis as well as altered distribution of initiated tumors in the lung, resulting from loss of p107 or p130. Collectively, these data demonstrate the feasibility of using the CRISPR-Cas9 system to model loss of candidate tumor suppressor genes in SCLC, and we anticipate that this approach will facilitate efforts to investigate mechanisms driving tumor progression in this deadly disease. |
format | Online Article Text |
id | pubmed-6955235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-69552352020-01-14 CRISPR-mediated modeling and functional validation of candidate tumor suppressor genes in small cell lung cancer Ng, Sheng Rong Rideout, William M. Akama-Garren, Elliot H. Bhutkar, Arjun Mercer, Kim L. Schenkel, Jason M. Bronson, Roderick T. Jacks, Tyler Proc Natl Acad Sci U S A Biological Sciences Small cell lung cancer (SCLC) is a highly aggressive subtype of lung cancer that remains among the most lethal of solid tumor malignancies. Recent genomic sequencing studies have identified many recurrently mutated genes in human SCLC tumors. However, the functional roles of most of these genes remain to be validated. Here, we have adapted the CRISPR-Cas9 system to a well-established murine model of SCLC to rapidly model loss-of-function mutations in candidate genes identified from SCLC sequencing studies. We show that loss of the gene p107 significantly accelerates tumor progression. Notably, compared with loss of the closely related gene p130, loss of p107 results in fewer but larger tumors as well as earlier metastatic spread. In addition, we observe differences in proliferation and apoptosis as well as altered distribution of initiated tumors in the lung, resulting from loss of p107 or p130. Collectively, these data demonstrate the feasibility of using the CRISPR-Cas9 system to model loss of candidate tumor suppressor genes in SCLC, and we anticipate that this approach will facilitate efforts to investigate mechanisms driving tumor progression in this deadly disease. National Academy of Sciences 2020-01-07 2019-12-23 /pmc/articles/PMC6955235/ /pubmed/31871154 http://dx.doi.org/10.1073/pnas.1821893117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Ng, Sheng Rong Rideout, William M. Akama-Garren, Elliot H. Bhutkar, Arjun Mercer, Kim L. Schenkel, Jason M. Bronson, Roderick T. Jacks, Tyler CRISPR-mediated modeling and functional validation of candidate tumor suppressor genes in small cell lung cancer |
title | CRISPR-mediated modeling and functional validation of candidate tumor suppressor genes in small cell lung cancer |
title_full | CRISPR-mediated modeling and functional validation of candidate tumor suppressor genes in small cell lung cancer |
title_fullStr | CRISPR-mediated modeling and functional validation of candidate tumor suppressor genes in small cell lung cancer |
title_full_unstemmed | CRISPR-mediated modeling and functional validation of candidate tumor suppressor genes in small cell lung cancer |
title_short | CRISPR-mediated modeling and functional validation of candidate tumor suppressor genes in small cell lung cancer |
title_sort | crispr-mediated modeling and functional validation of candidate tumor suppressor genes in small cell lung cancer |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955235/ https://www.ncbi.nlm.nih.gov/pubmed/31871154 http://dx.doi.org/10.1073/pnas.1821893117 |
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