A prognostic multigene classifier for squamous cell carcinomas of the larynx

Valentina Mirisola; Renzo Mora; Alessia Isabella Esposito; Luca Guastini; Flavia Tabacchiera; Laura Paleari; Adriana Amaro; Giovanna Angelini; Massimo Dellepiane; Ulrich Pfeffer; Angelo Salami

doi:10.1016/j.canlet.2011.03.013

A prognostic multigene classifier for squamous cell carcinomas of the larynx

Valentina Mirisola, Renzo Mora, Alessia Isabella Esposito, Luca Guastini, Flavia Tabacchiera, Laura Paleari, Adriana Amaro, Giovanna Angelini, Massimo Dellepiane, Ulrich Pfeffer, Angelo Salami

A.O.U. San Martino - IST, Istituto Nazionale Ricerca sul Cancro (GENOVA)

Research output: Contribution to journal › Article › peer-review

Abstract

Survival after diagnosis of laryngeal cancer has not improved over the last 20. years. Selection of patients for radio- and chemotherapy or surgery or follow-up strategies based on a prognostic classifier could improve survival without unduly extending radical surgery.We performed microarray gene expression analysis and developed a four-gene classifier for laryngeal cancer using Prediction Analysis of Microarray and leave-one-out cross validation. A four-gene classifier containing the non-coding gene H19, the histone HIST1H3F and the two small nucleolar RNAs, SNORA16A and SNORD14C was developed that assigns cases to low and high risk classes. The high risk class has a relative risk of 6.5 (CI = 1.817-23.258, Fisher exact test p

Original language	English
Pages (from-to)	37-46
Number of pages	10
Journal	Cancer Letters
Volume	307
Issue number	1
DOIs	https://doi.org/10.1016/j.canlet.2011.03.013
Publication status	Published - Aug 1 2011

Keywords

Gene expression profiling
Imprinting
Laryngeal cancer
Molecular classification

ASJC Scopus subject areas

Cancer Research
Oncology

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10.1016/j.canlet.2011.03.013

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title = "A prognostic multigene classifier for squamous cell carcinomas of the larynx",

abstract = "Survival after diagnosis of laryngeal cancer has not improved over the last 20. years. Selection of patients for radio- and chemotherapy or surgery or follow-up strategies based on a prognostic classifier could improve survival without unduly extending radical surgery.We performed microarray gene expression analysis and developed a four-gene classifier for laryngeal cancer using Prediction Analysis of Microarray and leave-one-out cross validation. A four-gene classifier containing the non-coding gene H19, the histone HIST1H3F and the two small nucleolar RNAs, SNORA16A and SNORD14C was developed that assigns cases to low and high risk classes. The high risk class has a relative risk of 6.5 (CI = 1.817-23.258, Fisher exact test p",

keywords = "Gene expression profiling, Imprinting, Laryngeal cancer, Molecular classification",

author = "Valentina Mirisola and Renzo Mora and Esposito, {Alessia Isabella} and Luca Guastini and Flavia Tabacchiera and Laura Paleari and Adriana Amaro and Giovanna Angelini and Massimo Dellepiane and Ulrich Pfeffer and Angelo Salami",

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AU - Mirisola, Valentina

AU - Mora, Renzo

AU - Esposito, Alessia Isabella

AU - Guastini, Luca

AU - Tabacchiera, Flavia

AU - Paleari, Laura

AU - Amaro, Adriana

AU - Angelini, Giovanna

AU - Dellepiane, Massimo

AU - Pfeffer, Ulrich

AU - Salami, Angelo

PY - 2011/8/1

Y1 - 2011/8/1

N2 - Survival after diagnosis of laryngeal cancer has not improved over the last 20. years. Selection of patients for radio- and chemotherapy or surgery or follow-up strategies based on a prognostic classifier could improve survival without unduly extending radical surgery.We performed microarray gene expression analysis and developed a four-gene classifier for laryngeal cancer using Prediction Analysis of Microarray and leave-one-out cross validation. A four-gene classifier containing the non-coding gene H19, the histone HIST1H3F and the two small nucleolar RNAs, SNORA16A and SNORD14C was developed that assigns cases to low and high risk classes. The high risk class has a relative risk of 6.5 (CI = 1.817-23.258, Fisher exact test p

AB - Survival after diagnosis of laryngeal cancer has not improved over the last 20. years. Selection of patients for radio- and chemotherapy or surgery or follow-up strategies based on a prognostic classifier could improve survival without unduly extending radical surgery.We performed microarray gene expression analysis and developed a four-gene classifier for laryngeal cancer using Prediction Analysis of Microarray and leave-one-out cross validation. A four-gene classifier containing the non-coding gene H19, the histone HIST1H3F and the two small nucleolar RNAs, SNORA16A and SNORD14C was developed that assigns cases to low and high risk classes. The high risk class has a relative risk of 6.5 (CI = 1.817-23.258, Fisher exact test p

KW - Gene expression profiling

KW - Imprinting

KW - Laryngeal cancer

KW - Molecular classification

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A prognostic multigene classifier for squamous cell carcinomas of the larynx

Abstract

Keywords

ASJC Scopus subject areas

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