A transcriptome study of p53-pathway related prognostic gene signature set in bladder cancer

p53 pathway is important in tumorigenesis. However, no study has been performed to specifically investigate the role of p53 pathway genes in bladder cancer (BLCA). In this study, transcriptomics data of muscle invasive bladder cancer patients (n = 411) from The Cancer Genome Atlas (TCGA) were invest...

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Main Authors: Safayat Mahmud Khan, Tonmoy Das, Sajib Chakraborty, Abdul Matin Anamur Rashid Choudhury, Howlader Fazlul Karim, Munshi Akid Mostofa, Hasib Uddin Ahmed, Md Akmal Hossain, Florence Le Calvez-Kelm, Md Ismail Hosen, Hossain Uddin Shekhar
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402308266X
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author Safayat Mahmud Khan
Tonmoy Das
Sajib Chakraborty
Abdul Matin Anamur Rashid Choudhury
Howlader Fazlul Karim
Munshi Akid Mostofa
Hasib Uddin Ahmed
Md Akmal Hossain
Florence Le Calvez-Kelm
Md Ismail Hosen
Hossain Uddin Shekhar
author_facet Safayat Mahmud Khan
Tonmoy Das
Sajib Chakraborty
Abdul Matin Anamur Rashid Choudhury
Howlader Fazlul Karim
Munshi Akid Mostofa
Hasib Uddin Ahmed
Md Akmal Hossain
Florence Le Calvez-Kelm
Md Ismail Hosen
Hossain Uddin Shekhar
author_sort Safayat Mahmud Khan
collection DOAJ
description p53 pathway is important in tumorigenesis. However, no study has been performed to specifically investigate the role of p53 pathway genes in bladder cancer (BLCA). In this study, transcriptomics data of muscle invasive bladder cancer patients (n = 411) from The Cancer Genome Atlas (TCGA) were investigated. Using the hallmark p53 pathway gene set, the Non-Negative Matrix factorization (NMF) analysis identified two subtypes (C1 and C2). Clinical, survival, and immunological analysis were done to validate distinct characteristics of the subtypes. Pathway enrichment analysis showed the subtype C1 with poor prognosis having enrichment in genes of the immunity related pathways, where C2 subtype with better prognosis being enriched in genes of the steroid synthesis and drug metabolism pathways. A signature gene set consisting of MDGA2, GNLY, GGT2, UGT2B4, DLX1, and DSC1 was created followed by a risk model. Their expressions were analyzed in RNA extracted from the blood and matched tumor tissues of BLCA patients (n = 10). DSC1 had significant difference of expression (p = 0.005) between the blood and tumor tissues in our BLCA samples. Contrary to the usual normal bladder tissue to blood ratio, DLX1 expression was lower (p = 0.02734) in tumor tissues than in blood. Being the first research of p53 pathway related signature gene set in bladder cancer, this study potentially has a substantial impact on the development of biomarkers for BLCA.
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spelling doaj.art-a6819b5781694251b4b91873fb91669f2023-10-30T06:08:15ZengElsevierHeliyon2405-84402023-10-01910e21058A transcriptome study of p53-pathway related prognostic gene signature set in bladder cancerSafayat Mahmud Khan0Tonmoy Das1Sajib Chakraborty2Abdul Matin Anamur Rashid Choudhury3Howlader Fazlul Karim4Munshi Akid Mostofa5Hasib Uddin Ahmed6Md Akmal Hossain7Florence Le Calvez-Kelm8Md Ismail Hosen9Hossain Uddin Shekhar10Clinical Biochemistry and Translational Medicine Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, BangladeshSystems Cell-Signalling Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, BangladeshSystems Cell-Signalling Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, BangladeshDepartment. Uro-Oncology, National Institute of Cancer Research Hospital, BangladeshDepartment. Uro-Oncology, National Institute of Cancer Research Hospital, BangladeshDepartment. Uro-Oncology, National Institute of Cancer Research Hospital, BangladeshClinical Biochemistry and Translational Medicine Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, BangladeshClinical Biochemistry and Translational Medicine Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, BangladeshGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC), 69372, Lyon, FranceClinical Biochemistry and Translational Medicine Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh; Corresponding author. Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.Clinical Biochemistry and Translational Medicine Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh; Corresponding author. Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.p53 pathway is important in tumorigenesis. However, no study has been performed to specifically investigate the role of p53 pathway genes in bladder cancer (BLCA). In this study, transcriptomics data of muscle invasive bladder cancer patients (n = 411) from The Cancer Genome Atlas (TCGA) were investigated. Using the hallmark p53 pathway gene set, the Non-Negative Matrix factorization (NMF) analysis identified two subtypes (C1 and C2). Clinical, survival, and immunological analysis were done to validate distinct characteristics of the subtypes. Pathway enrichment analysis showed the subtype C1 with poor prognosis having enrichment in genes of the immunity related pathways, where C2 subtype with better prognosis being enriched in genes of the steroid synthesis and drug metabolism pathways. A signature gene set consisting of MDGA2, GNLY, GGT2, UGT2B4, DLX1, and DSC1 was created followed by a risk model. Their expressions were analyzed in RNA extracted from the blood and matched tumor tissues of BLCA patients (n = 10). DSC1 had significant difference of expression (p = 0.005) between the blood and tumor tissues in our BLCA samples. Contrary to the usual normal bladder tissue to blood ratio, DLX1 expression was lower (p = 0.02734) in tumor tissues than in blood. Being the first research of p53 pathway related signature gene set in bladder cancer, this study potentially has a substantial impact on the development of biomarkers for BLCA.http://www.sciencedirect.com/science/article/pii/S240584402308266XNMFBLCAp53BiomarkerEnrichmentTCGA
spellingShingle Safayat Mahmud Khan
Tonmoy Das
Sajib Chakraborty
Abdul Matin Anamur Rashid Choudhury
Howlader Fazlul Karim
Munshi Akid Mostofa
Hasib Uddin Ahmed
Md Akmal Hossain
Florence Le Calvez-Kelm
Md Ismail Hosen
Hossain Uddin Shekhar
A transcriptome study of p53-pathway related prognostic gene signature set in bladder cancer
Heliyon
NMF
BLCA
p53
Biomarker
Enrichment
TCGA
title A transcriptome study of p53-pathway related prognostic gene signature set in bladder cancer
title_full A transcriptome study of p53-pathway related prognostic gene signature set in bladder cancer
title_fullStr A transcriptome study of p53-pathway related prognostic gene signature set in bladder cancer
title_full_unstemmed A transcriptome study of p53-pathway related prognostic gene signature set in bladder cancer
title_short A transcriptome study of p53-pathway related prognostic gene signature set in bladder cancer
title_sort transcriptome study of p53 pathway related prognostic gene signature set in bladder cancer
topic NMF
BLCA
p53
Biomarker
Enrichment
TCGA
url http://www.sciencedirect.com/science/article/pii/S240584402308266X
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