Role of FRG1 in predicting the overall survivability in cancers using multivariate based optimal model

Abstract FRG1 has a role in tumorigenesis and angiogenesis. Our preliminary analysis showed that FRG1 mRNA expression is associated with overall survival (OS) in certain cancers, but the effect varies. In cervix and gastric cancers, we found a clear difference in the OS between the low and high FRG1...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Rehan Khan, Ananya Palo, Manjusha Dixit
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8f0519f7095c45b592e668461cff5b1a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8f0519f7095c45b592e668461cff5b1a
record_format	dspace
spelling	oai:doaj.org-article:8f0519f7095c45b592e668461cff5b1a2021-11-21T12:19:27ZRole of FRG1 in predicting the overall survivability in cancers using multivariate based optimal model10.1038/s41598-021-01665-w2045-2322https://doaj.org/article/8f0519f7095c45b592e668461cff5b1a2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01665-whttps://doaj.org/toc/2045-2322Abstract FRG1 has a role in tumorigenesis and angiogenesis. Our preliminary analysis showed that FRG1 mRNA expression is associated with overall survival (OS) in certain cancers, but the effect varies. In cervix and gastric cancers, we found a clear difference in the OS between the low and high FRG1 mRNA expression groups, but the difference was not prominent in breast, lung, and liver cancers. We hypothesized that FRG1 expression level could affect the functionality of the correlated genes or vice versa, which might mask the effect of a single gene on the OS analysis in cancer patients. We used the multivariate Cox regression, risk score, and Kaplan Meier analyses to determine OS in a multigene model. STRING, Cytoscape, HIPPIE, Gene Ontology, and DAVID (KEGG) were used to deduce FRG1 associated pathways. In breast, lung, and liver cancers, we found a distinct difference in the OS between the low and high FRG1 mRNA expression groups in the multigene model, suggesting an independent role of FRG1 in survival. Risk scores were calculated based upon regression coefficients in the multigene model. Low and high-risk score groups showed a significant difference in the FRG1 mRNA expression level and OS. HPF1, RPL34, and EXOSC9 were the most common genes present in FRG1 associated pathways across the cancer types. Validation of the effect of FRG1 mRNA expression level on these genes by qRT-PCR supports that FRG1 might be an upstream regulator of their expression. These genes may have multiple regulators, which also affect their expression, leading to the masking effect in the survival analysis. In conclusion, our study highlights the role of FRG1 in the survivability of cancer patients in tissue-specific manner and the use of multigene models in prognosis.Rehan KhanAnanya PaloManjusha DixitNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rehan Khan Ananya Palo Manjusha Dixit Role of FRG1 in predicting the overall survivability in cancers using multivariate based optimal model
description	Abstract FRG1 has a role in tumorigenesis and angiogenesis. Our preliminary analysis showed that FRG1 mRNA expression is associated with overall survival (OS) in certain cancers, but the effect varies. In cervix and gastric cancers, we found a clear difference in the OS between the low and high FRG1 mRNA expression groups, but the difference was not prominent in breast, lung, and liver cancers. We hypothesized that FRG1 expression level could affect the functionality of the correlated genes or vice versa, which might mask the effect of a single gene on the OS analysis in cancer patients. We used the multivariate Cox regression, risk score, and Kaplan Meier analyses to determine OS in a multigene model. STRING, Cytoscape, HIPPIE, Gene Ontology, and DAVID (KEGG) were used to deduce FRG1 associated pathways. In breast, lung, and liver cancers, we found a distinct difference in the OS between the low and high FRG1 mRNA expression groups in the multigene model, suggesting an independent role of FRG1 in survival. Risk scores were calculated based upon regression coefficients in the multigene model. Low and high-risk score groups showed a significant difference in the FRG1 mRNA expression level and OS. HPF1, RPL34, and EXOSC9 were the most common genes present in FRG1 associated pathways across the cancer types. Validation of the effect of FRG1 mRNA expression level on these genes by qRT-PCR supports that FRG1 might be an upstream regulator of their expression. These genes may have multiple regulators, which also affect their expression, leading to the masking effect in the survival analysis. In conclusion, our study highlights the role of FRG1 in the survivability of cancer patients in tissue-specific manner and the use of multigene models in prognosis.
format	article
author	Rehan Khan Ananya Palo Manjusha Dixit
author_facet	Rehan Khan Ananya Palo Manjusha Dixit
author_sort	Rehan Khan
title	Role of FRG1 in predicting the overall survivability in cancers using multivariate based optimal model
title_short	Role of FRG1 in predicting the overall survivability in cancers using multivariate based optimal model
title_full	Role of FRG1 in predicting the overall survivability in cancers using multivariate based optimal model
title_fullStr	Role of FRG1 in predicting the overall survivability in cancers using multivariate based optimal model
title_full_unstemmed	Role of FRG1 in predicting the overall survivability in cancers using multivariate based optimal model
title_sort	role of frg1 in predicting the overall survivability in cancers using multivariate based optimal model
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8f0519f7095c45b592e668461cff5b1a
work_keys_str_mv	AT rehankhan roleoffrg1inpredictingtheoverallsurvivabilityincancersusingmultivariatebasedoptimalmodel AT ananyapalo roleoffrg1inpredictingtheoverallsurvivabilityincancersusingmultivariatebasedoptimalmodel AT manjushadixit roleoffrg1inpredictingtheoverallsurvivabilityincancersusingmultivariatebasedoptimalmodel
_version_	1718419077883494400

Role of FRG1 in predicting the overall survivability in cancers using multivariate based optimal model

Ejemplares similares