Identification of Potential Biomarkers and Biological Pathways for Poor Clinical Outcome in Mucinous Colorectal Adenocarcinoma
Colorectal cancer (CRC) comprises several histological subtypes, but the influences of the histological subtypes on prognosis remains unclear. We sought to evaluate the prognosis of mucinous adenocarcinoma (MAC), compared to that of traditional adenocarcinoma (TAC). This study used the data of patie...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/13/13/3280 |
id |
doaj-0de4ae61e3814b47a036bf7da4943dc7 |
---|---|
record_format |
Article |
spelling |
doaj-0de4ae61e3814b47a036bf7da4943dc72021-07-15T15:31:50ZengMDPI AGCancers2072-66942021-06-01133280328010.3390/cancers13133280Identification of Potential Biomarkers and Biological Pathways for Poor Clinical Outcome in Mucinous Colorectal AdenocarcinomaChang Woo Kim0Jae Myung Cha1Min Seob Kwak2Department of Surgery, Ajou University College of Medicine, Suwon 16499, KoreaDepartment of Internal Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, 892 Dongnam-ro, Gandong-gu, Seoul 05278, KoreaDepartment of Internal Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, 892 Dongnam-ro, Gandong-gu, Seoul 05278, KoreaColorectal cancer (CRC) comprises several histological subtypes, but the influences of the histological subtypes on prognosis remains unclear. We sought to evaluate the prognosis of mucinous adenocarcinoma (MAC), compared to that of traditional adenocarcinoma (TAC). This study used the data of patients diagnosed with CRC between 2004 and 2016, as obtained from the Surveillance, Epidemiology, and End Results database. We established a predictive model for disease-specific survival using conditional survival forest, model, non-linear Cox proportional hazards, and neural multi-task logistic regression model and identified the gene signatures for predicting poor prognosis based on the arrayexpress datasets. In total, 9096 (42.1%) patients with MAC and 12,490 (58.9%) patients with TAC were included. Those with the MAC subtype were more likely to have a poorer overall survival rate compared to those with the TAC subtype in stage II CRC (<i>p</i> = 0.002). The eight major genes including RPS18, RPL30, NME2, USP33, GAB2, RPS3A, RPS25, and CEP57 were found in the interacting network pathway. MAC was found to have a poorer prognosis compared to TAC, especially in Stage II CRC. In addition, our findings suggest that identifying potential biomarkers and biological pathways can be useful in CRC prognosis.https://www.mdpi.com/2072-6694/13/13/3280colorectal cancermucinoussurvivalbiomarkergene |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chang Woo Kim Jae Myung Cha Min Seob Kwak |
spellingShingle |
Chang Woo Kim Jae Myung Cha Min Seob Kwak Identification of Potential Biomarkers and Biological Pathways for Poor Clinical Outcome in Mucinous Colorectal Adenocarcinoma Cancers colorectal cancer mucinous survival biomarker gene |
author_facet |
Chang Woo Kim Jae Myung Cha Min Seob Kwak |
author_sort |
Chang Woo Kim |
title |
Identification of Potential Biomarkers and Biological Pathways for Poor Clinical Outcome in Mucinous Colorectal Adenocarcinoma |
title_short |
Identification of Potential Biomarkers and Biological Pathways for Poor Clinical Outcome in Mucinous Colorectal Adenocarcinoma |
title_full |
Identification of Potential Biomarkers and Biological Pathways for Poor Clinical Outcome in Mucinous Colorectal Adenocarcinoma |
title_fullStr |
Identification of Potential Biomarkers and Biological Pathways for Poor Clinical Outcome in Mucinous Colorectal Adenocarcinoma |
title_full_unstemmed |
Identification of Potential Biomarkers and Biological Pathways for Poor Clinical Outcome in Mucinous Colorectal Adenocarcinoma |
title_sort |
identification of potential biomarkers and biological pathways for poor clinical outcome in mucinous colorectal adenocarcinoma |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2021-06-01 |
description |
Colorectal cancer (CRC) comprises several histological subtypes, but the influences of the histological subtypes on prognosis remains unclear. We sought to evaluate the prognosis of mucinous adenocarcinoma (MAC), compared to that of traditional adenocarcinoma (TAC). This study used the data of patients diagnosed with CRC between 2004 and 2016, as obtained from the Surveillance, Epidemiology, and End Results database. We established a predictive model for disease-specific survival using conditional survival forest, model, non-linear Cox proportional hazards, and neural multi-task logistic regression model and identified the gene signatures for predicting poor prognosis based on the arrayexpress datasets. In total, 9096 (42.1%) patients with MAC and 12,490 (58.9%) patients with TAC were included. Those with the MAC subtype were more likely to have a poorer overall survival rate compared to those with the TAC subtype in stage II CRC (<i>p</i> = 0.002). The eight major genes including RPS18, RPL30, NME2, USP33, GAB2, RPS3A, RPS25, and CEP57 were found in the interacting network pathway. MAC was found to have a poorer prognosis compared to TAC, especially in Stage II CRC. In addition, our findings suggest that identifying potential biomarkers and biological pathways can be useful in CRC prognosis. |
topic |
colorectal cancer mucinous survival biomarker gene |
url |
https://www.mdpi.com/2072-6694/13/13/3280 |
work_keys_str_mv |
AT changwookim identificationofpotentialbiomarkersandbiologicalpathwaysforpoorclinicaloutcomeinmucinouscolorectaladenocarcinoma AT jaemyungcha identificationofpotentialbiomarkersandbiologicalpathwaysforpoorclinicaloutcomeinmucinouscolorectaladenocarcinoma AT minseobkwak identificationofpotentialbiomarkersandbiologicalpathwaysforpoorclinicaloutcomeinmucinouscolorectaladenocarcinoma |
_version_ |
1721299869637804032 |