Differential Gene Expression and Weighted Correlation Network Dynamics in High-Throughput Datasets of Prostate Cancer

Precision oncology is an absolute need today due to the emergence of treatment resistance and heterogeneity among cancerous profiles. Target-propelled cancer therapy is one of the treasures of precision oncology which has come together with substantial medical accomplishment. Prostate cancer is one...

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Published inFrontiers in oncology Vol. 12; p. 881246
Main Authors Mohammad, Taj, Singh, Prithvi, Jairajpuri, Deeba Shamim, Al-Keridis, Lamya Ahmed, Alshammari, Nawaf, Adnan, Mohd, Dohare, Ravins, Hassan, Md Imtaiyaz
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 01.06.2022
Subjects
Oncology
precision oncology
prostate cancer
target-propelled therapy
The Cancer Genome Atlas
weighted gene co-expression network analysis
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Abstract Precision oncology is an absolute need today due to the emergence of treatment resistance and heterogeneity among cancerous profiles. Target-propelled cancer therapy is one of the treasures of precision oncology which has come together with substantial medical accomplishment. Prostate cancer is one of the most common cancers in males, with tremendous biological heterogeneity in molecular and clinical behavior. The spectrum of molecular abnormalities and varying clinical patterns in prostate cancer suggest substantial heterogeneity among different profiles. To identify novel therapeutic targets and precise biomarkers implicated with prostate cancer, we performed a state-of-the-art bioinformatics study, beginning with analyzing high-throughput genomic datasets from The Cancer Genome Atlas (TCGA). Weighted gene co-expression network analysis (WGCNA) suggests a set of five dysregulated hub genes (MAF, STAT6, SOX2, FOXO1, and WNT3A) that played crucial roles in biological pathways associated with prostate cancer progression. We found overexpressed STAT6 and SOX2 and proposed them as candidate biomarkers and potential targets in prostate cancer. Furthermore, the alteration frequencies in STAT6 and SOX2 and their impact on the patients’ survival were explored through the cBioPortal platform. The Kaplan-Meier survival analysis suggested that the alterations in the candidate genes were linked to the decreased overall survival of the patients. Altogether, the results signify that STAT6 and SOX2 and their genomic alterations can be explored in therapeutic interventions of prostate cancer for precision oncology, utilizing early diagnosis and target-propelled therapy.
AbstractList Precision oncology is an absolute need today due to the emergence of treatment resistance and heterogeneity among cancerous profiles. Target-propelled cancer therapy is one of the treasures of precision oncology which has come together with substantial medical accomplishment. Prostate cancer is one of the most common cancers in males, with tremendous biological heterogeneity in molecular and clinical behavior. The spectrum of molecular abnormalities and varying clinical patterns in prostate cancer suggest substantial heterogeneity among different profiles. To identify novel therapeutic targets and precise biomarkers implicated with prostate cancer, we performed a state-of-the-art bioinformatics study, beginning with analyzing high-throughput genomic datasets from The Cancer Genome Atlas (TCGA). Weighted gene co-expression network analysis (WGCNA) suggests a set of five dysregulated hub genes (MAF, STAT6, SOX2, FOXO1, and WNT3A) that played crucial roles in biological pathways associated with prostate cancer progression. We found overexpressed STAT6 and SOX2 and proposed them as candidate biomarkers and potential targets in prostate cancer. Furthermore, the alteration frequencies in STAT6 and SOX2 and their impact on the patients’ survival were explored through the cBioPortal platform. The Kaplan-Meier survival analysis suggested that the alterations in the candidate genes were linked to the decreased overall survival of the patients. Altogether, the results signify that STAT6 and SOX2 and their genomic alterations can be explored in therapeutic interventions of prostate cancer for precision oncology, utilizing early diagnosis and target-propelled therapy.
Author Al-Keridis, Lamya Ahmed
Alshammari, Nawaf
Dohare, Ravins
Mohammad, Taj
Singh, Prithvi
Hassan, Md Imtaiyaz
Jairajpuri, Deeba Shamim
Adnan, Mohd
AuthorAffiliation 3 Department of Biology, College of Science, Princess Nourah bint Abdulrahman University , Riyadh , Saudi Arabia
4 Department of Biology, College of Science, University of Hail , Hail , Saudi Arabia
2 Department of Medical Biochemistry, College of Medicine and Medical Sciences, Arabian Gulf University , Manama , Bahrain
1 Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia , New Delhi , India
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– name: 4 Department of Biology, College of Science, University of Hail , Hail , Saudi Arabia
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– name: 1 Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia , New Delhi , India
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Copyright Copyright © 2022 Mohammad, Singh, Jairajpuri, Al-Keridis, Alshammari, Adnan, Dohare and Hassan 2022 Mohammad, Singh, Jairajpuri, Al-Keridis, Alshammari, Adnan, Dohare and Hassan
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Reviewed by: Nathan J. Bowen, Clark Atlanta University, United States; Wei-de Zhong, Guangzhou First People’s Hospital, China
Edited by: Marco Cassano, Lunaphore Technologies SA, Switzerland
This article was submitted to Cancer Molecular Targets and Therapeutics, a section of the journal Frontiers in Oncology
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Snippet Precision oncology is an absolute need today due to the emergence of treatment resistance and heterogeneity among cancerous profiles. Target-propelled cancer...
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SubjectTerms Oncology
precision oncology
prostate cancer
target-propelled therapy
The Cancer Genome Atlas
weighted gene co-expression network analysis
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Title Differential Gene Expression and Weighted Correlation Network Dynamics in High-Throughput Datasets of Prostate Cancer
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https://pubmed.ncbi.nlm.nih.gov/PMC9198298
https://doaj.org/article/0a13df85ef664e1aa82c29e713b88c38
Volume 12
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