Cargando…
Identification of different mutational profiles in cancers arising in specific colon segments by next generation sequencing
The objective of this study was to investigate the mutational profiles of cancers arising in different colon segments. To this aim, we have analyzed 37 colon cancer samples by use of the Ion AmpliSeq™ Comprehensive Cancer Panel. Overall, we have found 307 mutated genes, most of which already implica...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963617/ https://www.ncbi.nlm.nih.gov/pubmed/29844865 http://dx.doi.org/10.18632/oncotarget.25251 |
_version_ | 1783325054357995520 |
---|---|
author | Oliveira, Duarte Mendes Laudanna, Carmelo Migliozzi, Simona Zoppoli, Pietro Santamaria, Gianluca Grillone, Katia Elia, Laura Mignogna, Chiara Biamonte, Flavia Sacco, Rosario Corcione, Francesco Viglietto, Giuseppe Malanga, Donatella Rizzuto, Antonia |
author_facet | Oliveira, Duarte Mendes Laudanna, Carmelo Migliozzi, Simona Zoppoli, Pietro Santamaria, Gianluca Grillone, Katia Elia, Laura Mignogna, Chiara Biamonte, Flavia Sacco, Rosario Corcione, Francesco Viglietto, Giuseppe Malanga, Donatella Rizzuto, Antonia |
author_sort | Oliveira, Duarte Mendes |
collection | PubMed |
description | The objective of this study was to investigate the mutational profiles of cancers arising in different colon segments. To this aim, we have analyzed 37 colon cancer samples by use of the Ion AmpliSeq™ Comprehensive Cancer Panel. Overall, we have found 307 mutated genes, most of which already implicated in the development of colon cancer. Among these, 15 genes were mutated in tumors originating in all six colon segments and were defined “common genes” (i.e. APC, PIK3CA, TP53) whereas 13 genes were preferentially mutated in tumors originating only in specific colon segments and were defined “site-associated genes” (i.e. BLNK, PTPRD). In addition, the presence of mutations in 10 of the 307 identified mutated genes (NBN, SMUG1, ERBB2, PTPRT, EPHB1, ALK, PTPRD, AURKB, KDR and GPR124) were found to be of clinical relevance. Among clinically relevant genes, NBN and SMUG1 were identified as independent prognostic factors that predicted poor survival in colon cancer patients. In conclusion, the findings reported here indicate that tumors arising in different colon segments present differences in the type and/or frequency of genetic variants, with two of them being independent prognostic factors that predict poor survival in colon cancer patients. |
format | Online Article Text |
id | pubmed-5963617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-59636172018-05-29 Identification of different mutational profiles in cancers arising in specific colon segments by next generation sequencing Oliveira, Duarte Mendes Laudanna, Carmelo Migliozzi, Simona Zoppoli, Pietro Santamaria, Gianluca Grillone, Katia Elia, Laura Mignogna, Chiara Biamonte, Flavia Sacco, Rosario Corcione, Francesco Viglietto, Giuseppe Malanga, Donatella Rizzuto, Antonia Oncotarget Research Paper The objective of this study was to investigate the mutational profiles of cancers arising in different colon segments. To this aim, we have analyzed 37 colon cancer samples by use of the Ion AmpliSeq™ Comprehensive Cancer Panel. Overall, we have found 307 mutated genes, most of which already implicated in the development of colon cancer. Among these, 15 genes were mutated in tumors originating in all six colon segments and were defined “common genes” (i.e. APC, PIK3CA, TP53) whereas 13 genes were preferentially mutated in tumors originating only in specific colon segments and were defined “site-associated genes” (i.e. BLNK, PTPRD). In addition, the presence of mutations in 10 of the 307 identified mutated genes (NBN, SMUG1, ERBB2, PTPRT, EPHB1, ALK, PTPRD, AURKB, KDR and GPR124) were found to be of clinical relevance. Among clinically relevant genes, NBN and SMUG1 were identified as independent prognostic factors that predicted poor survival in colon cancer patients. In conclusion, the findings reported here indicate that tumors arising in different colon segments present differences in the type and/or frequency of genetic variants, with two of them being independent prognostic factors that predict poor survival in colon cancer patients. Impact Journals LLC 2018-05-08 /pmc/articles/PMC5963617/ /pubmed/29844865 http://dx.doi.org/10.18632/oncotarget.25251 Text en Copyright: © 2018 Oliveira et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Oliveira, Duarte Mendes Laudanna, Carmelo Migliozzi, Simona Zoppoli, Pietro Santamaria, Gianluca Grillone, Katia Elia, Laura Mignogna, Chiara Biamonte, Flavia Sacco, Rosario Corcione, Francesco Viglietto, Giuseppe Malanga, Donatella Rizzuto, Antonia Identification of different mutational profiles in cancers arising in specific colon segments by next generation sequencing |
title | Identification of different mutational profiles in cancers arising in specific colon segments by next generation sequencing |
title_full | Identification of different mutational profiles in cancers arising in specific colon segments by next generation sequencing |
title_fullStr | Identification of different mutational profiles in cancers arising in specific colon segments by next generation sequencing |
title_full_unstemmed | Identification of different mutational profiles in cancers arising in specific colon segments by next generation sequencing |
title_short | Identification of different mutational profiles in cancers arising in specific colon segments by next generation sequencing |
title_sort | identification of different mutational profiles in cancers arising in specific colon segments by next generation sequencing |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963617/ https://www.ncbi.nlm.nih.gov/pubmed/29844865 http://dx.doi.org/10.18632/oncotarget.25251 |
work_keys_str_mv | AT oliveiraduartemendes identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT laudannacarmelo identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT migliozzisimona identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT zoppolipietro identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT santamariagianluca identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT grillonekatia identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT elialaura identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT mignognachiara identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT biamonteflavia identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT saccorosario identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT corcionefrancesco identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT vigliettogiuseppe identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT malangadonatella identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing AT rizzutoantonia identificationofdifferentmutationalprofilesincancersarisinginspecificcolonsegmentsbynextgenerationsequencing |