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Stage-specific coexpression network analysis of Myc in cohorts of renal cancer
The present study investigates the molecular dynamics of Myc in normal precursors and in different stages (I/II/III/IV) of cohorts of renal cancer using two distinct yet complementary approaches: gene expression and gene coexpression. We also analysed the variation of coexpression networks of Myc th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363146/ https://www.ncbi.nlm.nih.gov/pubmed/37481674 http://dx.doi.org/10.1038/s41598-023-38681-x |
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author | Priyam, Jyotsna Saxena, Urmila |
author_facet | Priyam, Jyotsna Saxena, Urmila |
author_sort | Priyam, Jyotsna |
collection | PubMed |
description | The present study investigates the molecular dynamics of Myc in normal precursors and in different stages (I/II/III/IV) of cohorts of renal cancer using two distinct yet complementary approaches: gene expression and gene coexpression. We also analysed the variation of coexpression networks of Myc through the stage-wise progression of renal cancer cohorts. Myc expression is significantly higher in stage I compared to normal tissue but changed inconsistently across stages of renal cancer. We identified that Myc consistently coexpressed with fourteen genes in the KIPAN [Pan-kidney cohort (KICH + KIRC + KIRP)] and eight in the KIRC (Kidney renal clear cell carcinoma) across all stages, providing potential prognostic and diagnostic biomarkers. Coexpression network complexity decreased from normal precursor tissues to associated tumour stage I in KIPAN and KIRC but was inconsistent after that. In the process of cancer development, there is generally lower cross-tissue cancer network homology observed among coexpressed genes with Myc during the normal to the stage I compared to the stage-wise progression of cancer. Overall, this research provides novel perceptions of the molecular causes of kidney cancer. It also highlights potential genes and pathways crucial for diagnosing and treating this disease. |
format | Online Article Text |
id | pubmed-10363146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103631462023-07-24 Stage-specific coexpression network analysis of Myc in cohorts of renal cancer Priyam, Jyotsna Saxena, Urmila Sci Rep Article The present study investigates the molecular dynamics of Myc in normal precursors and in different stages (I/II/III/IV) of cohorts of renal cancer using two distinct yet complementary approaches: gene expression and gene coexpression. We also analysed the variation of coexpression networks of Myc through the stage-wise progression of renal cancer cohorts. Myc expression is significantly higher in stage I compared to normal tissue but changed inconsistently across stages of renal cancer. We identified that Myc consistently coexpressed with fourteen genes in the KIPAN [Pan-kidney cohort (KICH + KIRC + KIRP)] and eight in the KIRC (Kidney renal clear cell carcinoma) across all stages, providing potential prognostic and diagnostic biomarkers. Coexpression network complexity decreased from normal precursor tissues to associated tumour stage I in KIPAN and KIRC but was inconsistent after that. In the process of cancer development, there is generally lower cross-tissue cancer network homology observed among coexpressed genes with Myc during the normal to the stage I compared to the stage-wise progression of cancer. Overall, this research provides novel perceptions of the molecular causes of kidney cancer. It also highlights potential genes and pathways crucial for diagnosing and treating this disease. Nature Publishing Group UK 2023-07-22 /pmc/articles/PMC10363146/ /pubmed/37481674 http://dx.doi.org/10.1038/s41598-023-38681-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Priyam, Jyotsna Saxena, Urmila Stage-specific coexpression network analysis of Myc in cohorts of renal cancer |
title | Stage-specific coexpression network analysis of Myc in cohorts of renal cancer |
title_full | Stage-specific coexpression network analysis of Myc in cohorts of renal cancer |
title_fullStr | Stage-specific coexpression network analysis of Myc in cohorts of renal cancer |
title_full_unstemmed | Stage-specific coexpression network analysis of Myc in cohorts of renal cancer |
title_short | Stage-specific coexpression network analysis of Myc in cohorts of renal cancer |
title_sort | stage-specific coexpression network analysis of myc in cohorts of renal cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363146/ https://www.ncbi.nlm.nih.gov/pubmed/37481674 http://dx.doi.org/10.1038/s41598-023-38681-x |
work_keys_str_mv | AT priyamjyotsna stagespecificcoexpressionnetworkanalysisofmycincohortsofrenalcancer AT saxenaurmila stagespecificcoexpressionnetworkanalysisofmycincohortsofrenalcancer |