Literature DB >> 21481529

A prognostic multigene classifier for squamous cell carcinomas of the larynx.

Valentina Mirisola1, Renzo Mora2, Alessia Isabella Esposito1, Luca Guastini2, Flavia Tabacchiera1, Laura Paleari1, Adriana Amaro1, Giovanna Angelini1, Massimo Dellepiane2, Ulrich Pfeffer3, Angelo Salami2.   

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<0.0001). The maternally imprinted gene H19 is the top classifier gene.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21481529     DOI: 10.1016/j.canlet.2011.03.013

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  18 in total

1.  Upregulation of miR-129-5p affects laryngeal cancer cell proliferation, invasiveness, and migration by affecting STAT3 expression.

Authors:  Na Shen; Xinsheng Huang; Jun Li
Journal:  Tumour Biol       Date:  2015-08-29

2.  Impact of gender on survival in patients with laryngeal squamous cell carcinoma: a propensity score matching analysis.

Authors:  Na Wang; Hong Lv; Ming Huang
Journal:  Int J Clin Exp Pathol       Date:  2020-03-01

3.  l-DOPA Decarboxylase (DDC) Expression Status as a Novel Molecular Tumor Marker for Diagnostic and Prognostic Purposes in Laryngeal Cancer.

Authors:  Christos Patsis; Vasiliki Glyka; Ioannis Yiotakis; Emmanuel G Fragoulis; Andreas Scorilas
Journal:  Transl Oncol       Date:  2012-08-01       Impact factor: 4.243

4.  Overexpression of ROCK1 and ROCK2 inhibits human laryngeal squamous cell carcinoma.

Authors:  Junbo Zhang; Xue He; Yueying Ma; Yanli Liu; Huaiyin Shi; Weiwei Guo; Liangfa Liu
Journal:  Int J Clin Exp Pathol       Date:  2015-01-01

5.  Next-generation sequencing reveals differentially expressed small noncoding RNAs in uterine leiomyoma.

Authors:  Tsai-Der Chuang; Yeming Xie; Wei Yan; Omid Khorram
Journal:  Fertil Steril       Date:  2018-05       Impact factor: 7.329

6.  Epigenetic dysregulation in laryngeal squamous cell carcinoma.

Authors:  Thian-Sze Wong; Wei Gao; Zeng-Hong Li; Jimmy Yu-Wai Chan; Wai-Kuen Ho
Journal:  J Oncol       Date:  2012-05-07       Impact factor: 4.375

7.  Identification and validation of a multigene predictor of recurrence in primary laryngeal cancer.

Authors:  Elena Fountzilas; Vassiliki Kotoula; Nikolaos Angouridakis; Ilias Karasmanis; Ralph M Wirtz; Anastasia G Eleftheraki; Elke Veltrup; Konstantinos Markou; Angelos Nikolaou; Dimitrios Pectasides; George Fountzilas
Journal:  PLoS One       Date:  2013-08-09       Impact factor: 3.240

8.  MicroRNA 744-3p promotes MMP-9-mediated metastasis by simultaneously suppressing PDCD4 and PTEN in laryngeal squamous cell carcinoma.

Authors:  John Zeng-Hong Li; Wei Gao; Wen-Bin Lei; Jing Zhao; Jimmy Yu-Wai Chan; William Ignace Wei; Wei-Kuen Ho; Thian-Sze Wong
Journal:  Oncotarget       Date:  2016-09-06

9.  Diverse gene expression patterns in response to anticancer drugs between human and mouse cell lines revealed by a comparative transcriptomic analysis.

Authors:  Yong Guo; Zhuoran Liang; Xiaoliang Hou; Zhi Zhang
Journal:  Mol Med Rep       Date:  2017-08-04       Impact factor: 2.952

10.  Down-regulation of miR-129-5p inhibits growth and induces apoptosis in laryngeal squamous cell carcinoma by targeting APC.

Authors:  MingHua Li; LinLi Tian; Lin Wang; HongChao Yao; JiaRui Zhang; JianGuang Lu; YaNan Sun; Xu Gao; Hui Xiao; Ming Liu
Journal:  PLoS One       Date:  2013-10-23       Impact factor: 3.240

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