Rongjiong Zheng1, Mengdi Zheng1, Mingming Wang1, Feijie Lu2, Meiling Hu3. 1. Ningbo Urology and Nephrology Hospital, Ningbo Yinzhou No 2. Hospital, Ningbo, China. 2. Ningbo Urology and Nephrology Hospital, Ningbo Yinzhou No 2. Hospital, Ningbo, China. 184852837@qq.com. 3. Cixi People's Hospital of Zhejiang Province, Zhejiang, China. humeiling826@163.com.
Abstract
BACKGROUND: Lung squamous cell carcinoma (LSCC) is a form of cancer that is associated with high rates of relapse, poor responsiveness to therapy, and a relatively poor prognosis. The relationship between long non-coding RNA (lncRNA) expression and LSCC patient prognosis remains to be established. METHODS: In the present study, we discovered that lncRNAs were differentially expressed in LSCC tumor tissues relative to normal control tissues, and we explored the prognostic relevance of these lncRNA expression patterns using data from the Cancer Genome Atlas (TCGA). RESULTS: These multidimensional data were analyzed in order to identify lncRNA signatures that were associated with LSCC patient survival outcomes. Kaplan-Meier survival curves revealed prognostic capabilities for three of these lncRNAs (LINC02555, APCDD1L-DT and OTX2-AS1). A Cox regression analysis revealed this three-lncRNA signature to be significantly associated with patient survival. Further GO and KEGG analyses revealed that the predicted target genes of these three lncRNAs were also potentially involved in cancer-associated pathways. CONCLUSIONS: Together these results thus indicate that this novel three-lncRNA signature can be used to predict LSCC patient prognosis.
BACKGROUND:Lung squamous cell carcinoma (LSCC) is a form of cancer that is associated with high rates of relapse, poor responsiveness to therapy, and a relatively poor prognosis. The relationship between long non-coding RNA (lncRNA) expression and LSCC patient prognosis remains to be established. METHODS: In the present study, we discovered that lncRNAs were differentially expressed in LSCC tumor tissues relative to normal control tissues, and we explored the prognostic relevance of these lncRNA expression patterns using data from the Cancer Genome Atlas (TCGA). RESULTS: These multidimensional data were analyzed in order to identify lncRNA signatures that were associated with LSCC patient survival outcomes. Kaplan-Meier survival curves revealed prognostic capabilities for three of these lncRNAs (LINC02555, APCDD1L-DT and OTX2-AS1). A Cox regression analysis revealed this three-lncRNA signature to be significantly associated with patient survival. Further GO and KEGG analyses revealed that the predicted target genes of these three lncRNAs were also potentially involved in cancer-associated pathways. CONCLUSIONS: Together these results thus indicate that this novel three-lncRNA signature can be used to predict LSCC patient prognosis.
Authors: William D Travis; Elisabeth Brambilla; Masayuki Noguchi; Andrew G Nicholson; Kim R Geisinger; Yasushi Yatabe; David G Beer; Charles A Powell; Gregory J Riely; Paul E Van Schil; Kavita Garg; John H M Austin; Hisao Asamura; Valerie W Rusch; Fred R Hirsch; Giorgio Scagliotti; Tetsuya Mitsudomi; Rudolf M Huber; Yuichi Ishikawa; James Jett; Montserrat Sanchez-Cespedes; Jean-Paul Sculier; Takashi Takahashi; Masahiro Tsuboi; Johan Vansteenkiste; Ignacio Wistuba; Pan-Chyr Yang; Denise Aberle; Christian Brambilla; Douglas Flieder; Wilbur Franklin; Adi Gazdar; Michael Gould; Philip Hasleton; Douglas Henderson; Bruce Johnson; David Johnson; Keith Kerr; Keiko Kuriyama; Jin Soo Lee; Vincent A Miller; Iver Petersen; Victor Roggli; Rafael Rosell; Nagahiro Saijo; Erik Thunnissen; Ming Tsao; David Yankelewitz Journal: J Thorac Oncol Date: 2011-02 Impact factor: 15.609
Authors: Corina E Antal; Andrew M Hudson; Emily Kang; Ciro Zanca; Christopher Wirth; Natalie L Stephenson; Eleanor W Trotter; Lisa L Gallegos; Crispin J Miller; Frank B Furnari; Tony Hunter; John Brognard; Alexandra C Newton Journal: Cell Date: 2015-01-22 Impact factor: 41.582