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Published on: April 6, 2016
Overexpression and Selective Anticancer Efficacy of ENO3 in STK11 Mutant Lung Cancers
Choa Park1,2, Yejin Lee1,2, Soyeon Je1,2
1Department of Biological Sciences, Sookmyung Women's University, Seoul 04310, Korea.
Abstract:
Oncogenic gain-of-function mutations are clinical biomarkers for most targeted therapies, as well as represent direct targets for drug treatment. Although loss-of-function mutations involving the tumor suppressor gene, are important in lung cancer progression, is not the direct target for anticancer agents. We attempted to identify cancer transcriptome signatures associated with STK11 loss-offunction mutations. Several new sensitive and specific gene expression markers (ENO3, TTC39C, LGALS3, and MAML2) were identified using two orthogonal measures, i.e., fold change and odds ratio analyses of transcriptome data from cell lines and tissue samples. Among the markers identified, the ENO3 gene over-expression was found to be the direct consequence of STK11 loss-of-function. Furthermore, the knockdown of ENO3 expression exhibited selective anticancer effect in STK11 mutant cells compared with STK11 wild type (or recovered) cells. These findings suggest that ENO3 -based targeted therapy might be promising for patients with lung cancer harboring STK11 mutations.
Insights
STK11 loss-of-function mutations in lung cancer can be identified by specific gene expression markers. ENO3 overexpression is linked to STK11 mutations, suggesting ENO3-targeted therapy for STK11-mutant lung cancer.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Oncogenic gain-of-function mutations are key biomarkers and drug targets in cancer therapy.
- Loss-of-function mutations in the tumor suppressor gene STK11 are significant in lung cancer progression but STK11 is not a direct therapeutic target.
Purpose of the Study:
- To identify cancer transcriptome signatures associated with STK11 loss-of-function mutations.
- To explore the potential of targeting ENO3 for lung cancer treatment in STK11-mutant cases.
Main Methods:
- Analysis of transcriptome data from cell lines and tissue samples using fold change and odds ratio analyses.
- Identification of gene expression markers including ENO3, TTC39C, LGALS3, and MAML2.
- Experimental validation of ENO3's role and its selective anticancer effect in STK11 mutant cells via knockdown studies.
Main Results:
- Several sensitive and specific gene expression markers were identified for STK11 loss-of-function mutations.
- ENO3 gene overexpression was confirmed as a direct consequence of STK11 loss-of-function.
- Knockdown of ENO3 demonstrated a selective anticancer effect in STK11 mutant lung cancer cells.
Conclusions:
- ENO3 is a potential biomarker for STK11 loss-of-function mutations in lung cancer.
- ENO3-based targeted therapy presents a promising therapeutic strategy for patients with STK11-mutant lung cancer.
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