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Molecular subtypes of colorectal cancers determined by PCR‐based analysis

Tumor tissue consists of a heterogeneous cell population. The allelic imbalance (AI) ratio, determined in isolated tumor glands, is a good index of tumor heterogeneity. However, associations of the patterns of AI and microsatellite instability (MSI) development, observed in most cases of colorectal...

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Autores principales: Sugai, Tamotsu, Eizuka, Makoto, Takahashi, Yayoi, Fukagawa, Tomoyuki, Habano, Wataru, Yamamoto, Eiichiro, Akasaka, Risaburo, Otuska, Kouki, Matsumoto, Takayuki, Suzuki, Hiromu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378279/
https://www.ncbi.nlm.nih.gov/pubmed/28083970
http://dx.doi.org/10.1111/cas.13164
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author Sugai, Tamotsu
Eizuka, Makoto
Takahashi, Yayoi
Fukagawa, Tomoyuki
Habano, Wataru
Yamamoto, Eiichiro
Akasaka, Risaburo
Otuska, Kouki
Matsumoto, Takayuki
Suzuki, Hiromu
author_facet Sugai, Tamotsu
Eizuka, Makoto
Takahashi, Yayoi
Fukagawa, Tomoyuki
Habano, Wataru
Yamamoto, Eiichiro
Akasaka, Risaburo
Otuska, Kouki
Matsumoto, Takayuki
Suzuki, Hiromu
author_sort Sugai, Tamotsu
collection PubMed
description Tumor tissue consists of a heterogeneous cell population. The allelic imbalance (AI) ratio, determined in isolated tumor glands, is a good index of tumor heterogeneity. However, associations of the patterns of AI and microsatellite instability (MSI) development, observed in most cases of colorectal cancer (CRC), with tumor progression have not been reported previously. In this study, we examined whether CRC genetic profiles stratified by a combination of the AI ratio and MSI facilitate categorization of CRC, and whether these genetic profiles are associated with specific molecular alterations in CRC. A crypt isolation method was used to isolate DNA from tumors and normal glands obtained from 147 sporadic CRCs. AI and MSI statuses were determined using PCR‐based microsatellite analysis and stratified based on AI ratio and MSI status. DNA methylation status (high methylation, intermediate methylation and low methylation status and mutations in KRAS,BRAF, and TP53 were examined. In addition, mucin markers were immunostained. Based on this analysis, four subgroups were categorized. Subgroup 1 was characterized by a high MSI status and BRAF mutation; subgroup 2 was closely associated with a high AI ratio, which accumulated during the early phases of colorectal carcinogenesis, and TP53 mutation; subgroup 3 was associated with a low AI ratio, seen during the later phases of colorectal carcinogenesis, and KRAS mutation; and subgroup 4 was defined as a minor subgroup. These results confirmed that classification of distinct molecular profiles provides important insights into colorectal carcinogenesis.
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spelling pubmed-53782792017-04-07 Molecular subtypes of colorectal cancers determined by PCR‐based analysis Sugai, Tamotsu Eizuka, Makoto Takahashi, Yayoi Fukagawa, Tomoyuki Habano, Wataru Yamamoto, Eiichiro Akasaka, Risaburo Otuska, Kouki Matsumoto, Takayuki Suzuki, Hiromu Cancer Sci Original Articles Tumor tissue consists of a heterogeneous cell population. The allelic imbalance (AI) ratio, determined in isolated tumor glands, is a good index of tumor heterogeneity. However, associations of the patterns of AI and microsatellite instability (MSI) development, observed in most cases of colorectal cancer (CRC), with tumor progression have not been reported previously. In this study, we examined whether CRC genetic profiles stratified by a combination of the AI ratio and MSI facilitate categorization of CRC, and whether these genetic profiles are associated with specific molecular alterations in CRC. A crypt isolation method was used to isolate DNA from tumors and normal glands obtained from 147 sporadic CRCs. AI and MSI statuses were determined using PCR‐based microsatellite analysis and stratified based on AI ratio and MSI status. DNA methylation status (high methylation, intermediate methylation and low methylation status and mutations in KRAS,BRAF, and TP53 were examined. In addition, mucin markers were immunostained. Based on this analysis, four subgroups were categorized. Subgroup 1 was characterized by a high MSI status and BRAF mutation; subgroup 2 was closely associated with a high AI ratio, which accumulated during the early phases of colorectal carcinogenesis, and TP53 mutation; subgroup 3 was associated with a low AI ratio, seen during the later phases of colorectal carcinogenesis, and KRAS mutation; and subgroup 4 was defined as a minor subgroup. These results confirmed that classification of distinct molecular profiles provides important insights into colorectal carcinogenesis. John Wiley and Sons Inc. 2017-04-03 2017-03 /pmc/articles/PMC5378279/ /pubmed/28083970 http://dx.doi.org/10.1111/cas.13164 Text en © 2017 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Sugai, Tamotsu
Eizuka, Makoto
Takahashi, Yayoi
Fukagawa, Tomoyuki
Habano, Wataru
Yamamoto, Eiichiro
Akasaka, Risaburo
Otuska, Kouki
Matsumoto, Takayuki
Suzuki, Hiromu
Molecular subtypes of colorectal cancers determined by PCR‐based analysis
title Molecular subtypes of colorectal cancers determined by PCR‐based analysis
title_full Molecular subtypes of colorectal cancers determined by PCR‐based analysis
title_fullStr Molecular subtypes of colorectal cancers determined by PCR‐based analysis
title_full_unstemmed Molecular subtypes of colorectal cancers determined by PCR‐based analysis
title_short Molecular subtypes of colorectal cancers determined by PCR‐based analysis
title_sort molecular subtypes of colorectal cancers determined by pcr‐based analysis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378279/
https://www.ncbi.nlm.nih.gov/pubmed/28083970
http://dx.doi.org/10.1111/cas.13164
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