Disease biomarker identification from gene network modules for metastasized breast cancer

Abstract Advancement in science has tended to improve treatment of fatal diseases such as cancer. A major concern in the area is the spread of cancerous cells, technically refered to as metastasis into other organs beyond the primary organ. Treatment in such a stage of cancer is extremely difficult...

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Autores principales:	Pooja Sharma, Dhruba K. Bhattacharyya, Jugal Kalita
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1d176cf889f24d7fa1724119caf91cba
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spelling	oai:doaj.org-article:1d176cf889f24d7fa1724119caf91cba2021-12-02T12:32:19ZDisease biomarker identification from gene network modules for metastasized breast cancer10.1038/s41598-017-00996-x2045-2322https://doaj.org/article/1d176cf889f24d7fa1724119caf91cba2017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00996-xhttps://doaj.org/toc/2045-2322Abstract Advancement in science has tended to improve treatment of fatal diseases such as cancer. A major concern in the area is the spread of cancerous cells, technically refered to as metastasis into other organs beyond the primary organ. Treatment in such a stage of cancer is extremely difficult and usually palliative only. In this study, we focus on finding gene-gene network modules which are functionally similar in nature in the case of breast cancer. These modules extracted during the disease progression stages are analyzed using p-value and their associated pathways. We also explore interesting patterns associated with the causal genes, viz., SCGB1D2, MET, CYP1B1 and MMP9 in terms of expression similarity and pathway contexts. We analyze the genes involved in both the stages– non metastasis and metastatsis and change in their expression values, their associated pathways and roles as the disease progresses from one stage to another. We discover three additional pathways viz., Glycerophospholipid metablism, h-Efp pathway and CARM1 and Regulation of Estrogen Receptor, which can be related to the metastasis phase of breast cancer. These new pathways can be further explored to identify their relevance during the progression of the disease.Pooja SharmaDhruba K. BhattacharyyaJugal KalitaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Pooja Sharma Dhruba K. Bhattacharyya Jugal Kalita Disease biomarker identification from gene network modules for metastasized breast cancer
description	Abstract Advancement in science has tended to improve treatment of fatal diseases such as cancer. A major concern in the area is the spread of cancerous cells, technically refered to as metastasis into other organs beyond the primary organ. Treatment in such a stage of cancer is extremely difficult and usually palliative only. In this study, we focus on finding gene-gene network modules which are functionally similar in nature in the case of breast cancer. These modules extracted during the disease progression stages are analyzed using p-value and their associated pathways. We also explore interesting patterns associated with the causal genes, viz., SCGB1D2, MET, CYP1B1 and MMP9 in terms of expression similarity and pathway contexts. We analyze the genes involved in both the stages– non metastasis and metastatsis and change in their expression values, their associated pathways and roles as the disease progresses from one stage to another. We discover three additional pathways viz., Glycerophospholipid metablism, h-Efp pathway and CARM1 and Regulation of Estrogen Receptor, which can be related to the metastasis phase of breast cancer. These new pathways can be further explored to identify their relevance during the progression of the disease.
format	article
author	Pooja Sharma Dhruba K. Bhattacharyya Jugal Kalita
author_facet	Pooja Sharma Dhruba K. Bhattacharyya Jugal Kalita
author_sort	Pooja Sharma
title	Disease biomarker identification from gene network modules for metastasized breast cancer
title_short	Disease biomarker identification from gene network modules for metastasized breast cancer
title_full	Disease biomarker identification from gene network modules for metastasized breast cancer
title_fullStr	Disease biomarker identification from gene network modules for metastasized breast cancer
title_full_unstemmed	Disease biomarker identification from gene network modules for metastasized breast cancer
title_sort	disease biomarker identification from gene network modules for metastasized breast cancer
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/1d176cf889f24d7fa1724119caf91cba
work_keys_str_mv	AT poojasharma diseasebiomarkeridentificationfromgenenetworkmodulesformetastasizedbreastcancer AT dhrubakbhattacharyya diseasebiomarkeridentificationfromgenenetworkmodulesformetastasizedbreastcancer AT jugalkalita diseasebiomarkeridentificationfromgenenetworkmodulesformetastasizedbreastcancer
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Disease biomarker identification from gene network modules for metastasized breast cancer

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