Literature DB >> 20802022

Identification of a novel biomarker, SEMA5A, for non-small cell lung carcinoma in nonsmoking women.

Tzu-Pin Lu1, Mong-Hsun Tsai, Jang-Ming Lee, Chung-Ping Hsu, Pei-Chun Chen, Chung-Wu Lin, Jin-Yuan Shih, Pan-Chyr Yang, Chuhsing Kate Hsiao, Liang-Chuan Lai, Eric Y Chuang.   

Abstract

BACKGROUND: Although cigarette smoking is the major risk factor for lung cancer, only 7% of female lung cancer patients in Taiwan have a history of smoking. The genetic mechanisms of carcinogenesis in nonsmokers are unclear, but semaphorins have been suggested to play a role as lung tumor suppressors. This report is a comprehensive analysis of the molecular signature of nonsmoking female lung cancer patients in Taiwan, with a particular focus on the semaphorin gene family.
METHODS: Sixty pairs of tumor and adjacent normal lung tissue specimens were analyzed by using Affymetrix U133plus2.0 expression arrays. Differentially expressed genes in tumor tissues were identified by a paired t test and validated by reverse transcriptase-PCR and immunohistochemistry. Functional analysis was conducted by using Ingenuity Pathway Analysis as well as gene set enrichment analysis and sigPathway algorithms. Kaplan-Meier survival analyses were used to evaluate the association of SEMA5A expression and clinical outcome.
RESULTS: We identified 687 differentially expressed genes in non-small cell lung carcinoma (NSCLC). Many of these genes, most notably the semaphorin family, were participants in the axon guidance signaling pathway. The downregulation of SEMA5A in tumor tissue, both at the transcriptional and translational levels, was associated with poor survival among nonsmoking women with NSCLC.
CONCLUSIONS: In summary, several semaphorin gene family members were identified as potential therapeutic targets, and SEMA5A may be useful as a prognostic biomarker for NSCLC, which may also be gender specific in Taiwanese patients. IMPACT: A novel biomarker for NSCLC is identified. ©2010 AACR.

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Year:  2010        PMID: 20802022     DOI: 10.1158/1055-9965.EPI-10-0332

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  133 in total

1.  Network-based Prediction of Cancer under Genetic Storm.

Authors:  Ahmet Ay; Dihong Gong; Tamer Kahveci
Journal:  Cancer Inform       Date:  2014-10-15

Review 2.  Semaphorins in angiogenesis and tumor progression.

Authors:  Gera Neufeld; Adi D Sabag; Noa Rabinovicz; Ofra Kessler
Journal:  Cold Spring Harb Perspect Med       Date:  2012-01       Impact factor: 6.915

3.  Differential transcriptomic analysis of spontaneous lung tumors in B6C3F1 mice: comparison to human non-small cell lung cancer.

Authors:  Arun R Pandiri; Robert C Sills; Vincent Ziglioli; Thai-Vu T Ton; Hue-Hua L Hong; Stephanie A Lahousse; Kevin E Gerrish; Scott S Auerbach; Keith R Shockley; Pierre R Bushel; Shyamal D Peddada; Mark J Hoenerhoff
Journal:  Toxicol Pathol       Date:  2012-06-11       Impact factor: 1.902

Review 4.  Plexin structures are coming: opportunities for multilevel investigations of semaphorin guidance receptors, their cell signaling mechanisms, and functions.

Authors:  Prasanta K Hota; Matthias Buck
Journal:  Cell Mol Life Sci       Date:  2012-06-29       Impact factor: 9.261

Review 5.  Semaphorin 5A mediated cellular navigation: connecting nervous system and cancer.

Authors:  Abhilasha Purohit; Anguraj Sadanandam; Pavan Myneni; Rakesh K Singh
Journal:  Biochim Biophys Acta       Date:  2014-09-28

6.  Cost-sensitive Performance Metric for Comparing Multiple Ordinal Classifiers.

Authors:  Nysia I George; Tzu-Pin Lu; Ching-Wei Chang
Journal:  Artif Intell Res       Date:  2016-01-15

7.  A transcriptomic insight into the impacts of mast cells in lung, breast, and colon cancers.

Authors:  Eun-A Ko; Kenton M Sanders; Tong Zhou
Journal:  Oncoimmunology       Date:  2017-08-08       Impact factor: 8.110

Review 8.  Evaluating biomarkers to model cancer risk post cosmic ray exposure.

Authors:  Deepa M Sridharan; Aroumougame Asaithamby; Steve R Blattnig; Sylvain V Costes; Paul W Doetsch; William S Dynan; Philip Hahnfeldt; Lynn Hlatky; Yared Kidane; Amy Kronenberg; Mamta D Naidu; Leif E Peterson; Ianik Plante; Artem L Ponomarev; Janapriya Saha; Antoine M Snijders; Kalayarasan Srinivasan; Jonathan Tang; Erica Werner; Janice M Pluth
Journal:  Life Sci Space Res (Amst)       Date:  2016-05-21

9.  [Bioinformatic screening of key genes controlling the development and progression of lung cancer].

Authors:  Junlong Wang; Junjie Shi; Wenzhou Liu; Yu Sun; Huafu Zhou
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2012-11

10.  AAPL: Assessing Association between P-value Lists.

Authors:  Tianwei Yu; Yize Zhao; Shihao Shen
Journal:  Stat Anal Data Min       Date:  2013-04-01       Impact factor: 1.051

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