Literature DB >> 26483561

Elevated expression of ASCL2 is an independent prognostic indicator in lung squamous cell carcinoma.

Xu-Gang Hu1, Lu Chen1, Qing-liang Wang1, Xi-long Zhao1, Juan Tan1, You-hong Cui1, Xin-dong Liu1, Xia Zhang1, Xiu-Wu Bian1.   

Abstract

AIMS: ASCL2, a basic helix-loop-helix (bHLH) transcription factor, is putatively involved in tumour progression. This study aimed to evaluate ASCL2 expression level in non-small-cell carcinoma (NSCLC) and assess its prognostic value for patients.
METHODS: ASCL2 protein expression was detected by immunohistochemistry (IHC cohort) in 79 cases of squamous cell carcinoma (SCC) and 67 cases of adenocarcinoma (AC). Kaplan-Meier analysis and Cox regression analysis were performed to evaluate the prognostic significance of ASCL2. The same analyses were conducted in a cohort (n=790) from The Cancer Genome Atlas database (TCGA) to validate the expression pattern and prognostic value of ASCL2.
RESULTS: ASCL2 expression levels were significantly increased in SCC compared with normal lung tissue (p<0.001) and AC (p=0.008). High ASCL2 expression was associated with advanced tumour-node-metastasis (TNM) stage (p=0.023) and worse differentiation status (p=0.001) in SCC, but a positive correlation between ASCL2 expression level and advanced TNM stage (p=0.016) was observed in AC. Kaplan-Meier analysis showed that ASCL2 was prognostic in SCC (p=0.004) but not in AC (p=0.183). Multivariable Cox regression analysis indicated that elevated expression of ASCL2 was an independent prognostic factor (HR 2.764; p=0.030) in SCC patients. The expression pattern and prognostic significance of ASCL2 in SCC and AC were validated using the TCGA cohort.
CONCLUSIONS: Elevated expression of ASCL2 may identify an aggressive subgroup in SCC and serve as an independent prognostic indicator in these patients. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  CANCER RESEARCH; HISTOPATHOLOGY; LUNG CANCER

Mesh:

Substances:

Year:  2015        PMID: 26483561     DOI: 10.1136/jclinpath-2015-203025

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


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