Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ng, Sheng Rong, Rideout, William M., Akama-Garren, Elliot H., Bhutkar, Arjun, Mercer, Kim L., Schenkel, Jason M., Bronson, Roderick T., Jacks, Tyler
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
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
_version_ 1783486914848882688
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
work_keys_str_mv AT ngshengrong crisprmediatedmodelingandfunctionalvalidationofcandidatetumorsuppressorgenesinsmallcelllungcancer
AT rideoutwilliamm crisprmediatedmodelingandfunctionalvalidationofcandidatetumorsuppressorgenesinsmallcelllungcancer
AT akamagarrenellioth crisprmediatedmodelingandfunctionalvalidationofcandidatetumorsuppressorgenesinsmallcelllungcancer
AT bhutkararjun crisprmediatedmodelingandfunctionalvalidationofcandidatetumorsuppressorgenesinsmallcelllungcancer
AT mercerkiml crisprmediatedmodelingandfunctionalvalidationofcandidatetumorsuppressorgenesinsmallcelllungcancer
AT schenkeljasonm crisprmediatedmodelingandfunctionalvalidationofcandidatetumorsuppressorgenesinsmallcelllungcancer
AT bronsonroderickt crisprmediatedmodelingandfunctionalvalidationofcandidatetumorsuppressorgenesinsmallcelllungcancer
AT jackstyler crisprmediatedmodelingandfunctionalvalidationofcandidatetumorsuppressorgenesinsmallcelllungcancer