Novel gene signatures for stage classification of the squamous cell carcinoma of the lung

Abstract The squamous cell carcinoma of the lung (SCLC) is one of the most common types of lung cancer. As GLOBOCAN reported in 2018, lung cancer was the first cause of death and new cases by cancer worldwide. Typically, diagnosis is made in the later stages of the disease with few treatment options...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Angel Juarez-Flores, Gabriel S. Zamudio, Marco V. José
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b5308d4157c74f6fb8002a9077e8a1d1
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b5308d4157c74f6fb8002a9077e8a1d1
record_format	dspace
spelling	oai:doaj.org-article:b5308d4157c74f6fb8002a9077e8a1d12021-12-02T15:52:59ZNovel gene signatures for stage classification of the squamous cell carcinoma of the lung10.1038/s41598-021-83668-12045-2322https://doaj.org/article/b5308d4157c74f6fb8002a9077e8a1d12021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83668-1https://doaj.org/toc/2045-2322Abstract The squamous cell carcinoma of the lung (SCLC) is one of the most common types of lung cancer. As GLOBOCAN reported in 2018, lung cancer was the first cause of death and new cases by cancer worldwide. Typically, diagnosis is made in the later stages of the disease with few treatment options available. The goal of this work was to find some key components underlying each stage of the disease, to help in the classification of tumor samples, and to increase the available options for experimental assays and molecular targets that could be used in treatment development. We employed two approaches. The first was based in the classic method of differential gene expression analysis, network analysis, and a novel concept known as network gatekeepers. The second approach was using machine learning algorithms. From our combined approach, we identified two sets of genes that could function as a signature to identify each stage of the cancer pathology. We also arrived at a network of 55 nodes, which according to their biological functions, they can be regarded as drivers in this cancer. Although biological experiments are necessary for their validation, we proposed that all these genes could be used for cancer development treatments.Angel Juarez-FloresGabriel S. ZamudioMarco V. JoséNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Angel Juarez-Flores Gabriel S. Zamudio Marco V. José Novel gene signatures for stage classification of the squamous cell carcinoma of the lung
description	Abstract The squamous cell carcinoma of the lung (SCLC) is one of the most common types of lung cancer. As GLOBOCAN reported in 2018, lung cancer was the first cause of death and new cases by cancer worldwide. Typically, diagnosis is made in the later stages of the disease with few treatment options available. The goal of this work was to find some key components underlying each stage of the disease, to help in the classification of tumor samples, and to increase the available options for experimental assays and molecular targets that could be used in treatment development. We employed two approaches. The first was based in the classic method of differential gene expression analysis, network analysis, and a novel concept known as network gatekeepers. The second approach was using machine learning algorithms. From our combined approach, we identified two sets of genes that could function as a signature to identify each stage of the cancer pathology. We also arrived at a network of 55 nodes, which according to their biological functions, they can be regarded as drivers in this cancer. Although biological experiments are necessary for their validation, we proposed that all these genes could be used for cancer development treatments.
format	article
author	Angel Juarez-Flores Gabriel S. Zamudio Marco V. José
author_facet	Angel Juarez-Flores Gabriel S. Zamudio Marco V. José
author_sort	Angel Juarez-Flores
title	Novel gene signatures for stage classification of the squamous cell carcinoma of the lung
title_short	Novel gene signatures for stage classification of the squamous cell carcinoma of the lung
title_full	Novel gene signatures for stage classification of the squamous cell carcinoma of the lung
title_fullStr	Novel gene signatures for stage classification of the squamous cell carcinoma of the lung
title_full_unstemmed	Novel gene signatures for stage classification of the squamous cell carcinoma of the lung
title_sort	novel gene signatures for stage classification of the squamous cell carcinoma of the lung
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b5308d4157c74f6fb8002a9077e8a1d1
work_keys_str_mv	AT angeljuarezflores novelgenesignaturesforstageclassificationofthesquamouscellcarcinomaofthelung AT gabrielszamudio novelgenesignaturesforstageclassificationofthesquamouscellcarcinomaofthelung AT marcovjose novelgenesignaturesforstageclassificationofthesquamouscellcarcinomaofthelung
_version_	1718385531453177856

Novel gene signatures for stage classification of the squamous cell carcinoma of the lung

Ejemplares similares