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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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 > 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—<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: 1.71−7.94, <i>p</i> < 0.001 *) along with stage (HR: 4.56, 95% CI: 1.35−19.15, <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: 1.99−3.73, <i>p</i> < 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: 1.78−3.63, <i>p</i> < 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 > 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—<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: 1.71−7.94, <i>p</i> < 0.001 *) along with stage (HR: 4.56, 95% CI: 1.35−19.15, <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: 1.99−3.73, <i>p</i> < 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: 1.78−3.63, <i>p</i> < 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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