Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal Cancer

Colorectal cancer (CRC) is a high burden disease with several genes involved in tumor progression. The aim of the present study was to identify, generate and clinically validate a novel gene signature to improve prediction of overall survival (OS) to effectively manage colorectal cancer. We explored...

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Main Authors: Pankaj Ahluwalia, Ashis K. Mondal, Chance Bloomer, Sadanand Fulzele, Kimya Jones, Sudha Ananth, Gagandeep K. Gahlay, Saleh Heneidi, Amyn M. Rojiani, Vamsi Kota, Ravindra Kolhe
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/20/15/3818
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spelling doaj-acd8d9f20adf412a913a500e49baef3c2020-11-25T00:31:49ZengMDPI AGInternational Journal of Molecular Sciences1422-00672019-08-012015381810.3390/ijms20153818ijms20153818Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal CancerPankaj Ahluwalia0Ashis K. Mondal1Chance Bloomer2Sadanand Fulzele3Kimya Jones4Sudha Ananth5Gagandeep K. Gahlay6Saleh Heneidi7Amyn M. Rojiani8Vamsi Kota9Ravindra Kolhe10Department of Pathology, Anatomic Pathology Section, Medical College of Georgia at Augusta University, Augusta, GA 30912, USADepartment of Pathology, Anatomic Pathology Section, Medical College of Georgia at Augusta University, Augusta, GA 30912, USADepartment of Pathology, Anatomic Pathology Section, Medical College of Georgia at Augusta University, Augusta, GA 30912, USADepartment of Orthopedics, Medical College of Georgia at Augusta University, Augusta, GA 30912, USADepartment of Pathology, Anatomic Pathology Section, Medical College of Georgia at Augusta University, Augusta, GA 30912, USADepartment of Pathology, Anatomic Pathology Section, Medical College of Georgia at Augusta University, Augusta, GA 30912, USADepartment of Molecular Biology and Biochemistry, Guru Nanak Dev University, Amritsar 143005, IndiaDepartment of Pathology, Anatomic Pathology Section, Medical College of Georgia at Augusta University, Augusta, GA 30912, USADepartment of Pathology, Anatomic Pathology Section, Medical College of Georgia at Augusta University, Augusta, GA 30912, USADepartment of Medicine, Hematology Oncology Section, Medical College of Georgia at Augusta University, Augusta, GA 30912, USADepartment of Pathology, Anatomic Pathology Section, Medical College of Georgia at Augusta University, Augusta, GA 30912, USAColorectal cancer (CRC) is a high burden disease with several genes involved in tumor progression. The aim of the present study was to identify, generate and clinically validate a novel gene signature to improve prediction of overall survival (OS) to effectively manage colorectal cancer. We explored The Cancer Genome Atlas (TCGA), COAD and READ datasets (597 samples) from The Protein Atlas (TPA) database to extract a total of 595 candidate genes. In parallel, we identified 29 genes with perturbations in &gt; 6 cancers which are also affected in CRC. These genes were entered in cBioportal to generate a 17 gene panel with highest perturbations. For clinical validation, this gene panel was tested on the FFPE tissues of colorectal cancer patients (88 patients) using Nanostring analysis. Using multivariate analysis, a high prognostic score (composite 4 gene signature&#8212;<i>DPP7/2</i>, <i>YWHAB</i>, <i>MCM4</i> and <i>FBXO46</i>) was found to be a significant predictor of poor prognosis in CRC patients (HR: 3.42, 95% CI: 1.71&#8722;7.94, <i>p</i> &lt; 0.001 *) along with stage (HR: 4.56, 95% CI: 1.35&#8722;19.15, <i>p</i> = 0.01 *). The Kaplan-Meier analysis also segregated patients on the basis of prognostic score (log-rank test, <i>p</i> = 0.001 *). The external validation using GEO dataset (GSE38832, 122 patients) corroborated the prognostic score (HR: 2.7, 95% CI: 1.99&#8722;3.73, <i>p</i> &lt; 0.001 *). Additionally, higher score was able to differentiate stage II and III patients (130 patients) on the basis of OS (HR: 2.5, 95% CI: 1.78&#8722;3.63, <i>p</i> &lt; 0.001 *). Overall, our results identify a novel 4 gene prognostic signature that has clinical utility in colorectal cancer.https://www.mdpi.com/1422-0067/20/15/3818prognosticbiomarkertumorcolorectal cancergene expressionsurvival analysis
collection DOAJ
language English
format Article
sources DOAJ
author Pankaj Ahluwalia
Ashis K. Mondal
Chance Bloomer
Sadanand Fulzele
Kimya Jones
Sudha Ananth
Gagandeep K. Gahlay
Saleh Heneidi
Amyn M. Rojiani
Vamsi Kota
Ravindra Kolhe
spellingShingle Pankaj Ahluwalia
Ashis K. Mondal
Chance Bloomer
Sadanand Fulzele
Kimya Jones
Sudha Ananth
Gagandeep K. Gahlay
Saleh Heneidi
Amyn M. Rojiani
Vamsi Kota
Ravindra Kolhe
Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal Cancer
International Journal of Molecular Sciences
prognostic
biomarker
tumor
colorectal cancer
gene expression
survival analysis
author_facet Pankaj Ahluwalia
Ashis K. Mondal
Chance Bloomer
Sadanand Fulzele
Kimya Jones
Sudha Ananth
Gagandeep K. Gahlay
Saleh Heneidi
Amyn M. Rojiani
Vamsi Kota
Ravindra Kolhe
author_sort Pankaj Ahluwalia
title Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal Cancer
title_short Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal Cancer
title_full Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal Cancer
title_fullStr Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal Cancer
title_full_unstemmed Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal Cancer
title_sort identification and clinical validation of a novel 4 gene-signature with prognostic utility in colorectal cancer
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2019-08-01
description Colorectal cancer (CRC) is a high burden disease with several genes involved in tumor progression. The aim of the present study was to identify, generate and clinically validate a novel gene signature to improve prediction of overall survival (OS) to effectively manage colorectal cancer. We explored The Cancer Genome Atlas (TCGA), COAD and READ datasets (597 samples) from The Protein Atlas (TPA) database to extract a total of 595 candidate genes. In parallel, we identified 29 genes with perturbations in &gt; 6 cancers which are also affected in CRC. These genes were entered in cBioportal to generate a 17 gene panel with highest perturbations. For clinical validation, this gene panel was tested on the FFPE tissues of colorectal cancer patients (88 patients) using Nanostring analysis. Using multivariate analysis, a high prognostic score (composite 4 gene signature&#8212;<i>DPP7/2</i>, <i>YWHAB</i>, <i>MCM4</i> and <i>FBXO46</i>) was found to be a significant predictor of poor prognosis in CRC patients (HR: 3.42, 95% CI: 1.71&#8722;7.94, <i>p</i> &lt; 0.001 *) along with stage (HR: 4.56, 95% CI: 1.35&#8722;19.15, <i>p</i> = 0.01 *). The Kaplan-Meier analysis also segregated patients on the basis of prognostic score (log-rank test, <i>p</i> = 0.001 *). The external validation using GEO dataset (GSE38832, 122 patients) corroborated the prognostic score (HR: 2.7, 95% CI: 1.99&#8722;3.73, <i>p</i> &lt; 0.001 *). Additionally, higher score was able to differentiate stage II and III patients (130 patients) on the basis of OS (HR: 2.5, 95% CI: 1.78&#8722;3.63, <i>p</i> &lt; 0.001 *). Overall, our results identify a novel 4 gene prognostic signature that has clinical utility in colorectal cancer.
topic prognostic
biomarker
tumor
colorectal cancer
gene expression
survival analysis
url https://www.mdpi.com/1422-0067/20/15/3818
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