The combination of strong expression of ZNF143 and high MIB-1 labelling index independently predicts shorter disease-specific survival in lung adenocarcinoma View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-04-15

AUTHORS

Y Kawatsu, S Kitada, H Uramoto, L Zhi, T Takeda, T Kimura, S Horie, F Tanaka, Y Sasaguri, H Izumi, K Kohno, S Yamada

ABSTRACT

BACKGROUND: The transcription factor, zinc finger protein 143 (ZNF143), positively regulates many cell-cycle-related genes. The ZNF143 would show high expression of multiple solid tumours related closely to cancer cell growth, similar to the widely accepted Ki67 (MIB-1) protein, but the underlying mechanisms for ZNF143 remain unclear. We investigated the association of ZNF143 expression with clinicopathological features and prognoses of patients with lung adenocarcinoma. METHODS: Expressions of ZNF143 and MIB-1 were immunohistochemically analysed in 183 paraffin-embedded tumour samples of patients with lung adenocarcinoma. The ZNF143 expression was considered to be strong when >30% of the cancer cells demonstrated positive staining. RESULTS: Strong ZNF143+ expression showed a significantly close relationship to pathologically moderate to poor differentiation and highly invasive characteristics. The ZNF143 positivity potentially induced cell growth of lung adenocarcinoma, correlated significantly with high MIB-1 labelling index (⩾10%). Univariate and multivariate analyses demonstrated that both strong ZNF143+ and the high MIB-1 index group have only and significantly worse survival rates. CONCLUSIONS: The combination of strong ZNF143 expression and high MIB-1 index potentially predicts high proliferating activity and poor prognosis in patients with lung adenocarcinoma, and may offer a therapeutic target against ZNF143. More... »

PAGES

2583-2592

Journal

TITLE

British Journal of Cancer

ISSUE

10

VOLUME

110

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2014.202

DOI

http://dx.doi.org/10.1038/bjc.2014.202

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048746583

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24736586


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