Dataset Information

EIF2?, a subunit of translation-initiation factor EIF2, is a potential therapeutic target for non-small cell lung cancer.

ABSTRACT: To identify novel therapeutic targets for non-small cell lung cancer (NSCLC), we conducted an integrative study in the following 3 stages: (i) identification of potential target gene(s) through shRNA functional screens in 2 independent NSCLC cell lines; (ii) validation of the clinical relevance of identified gene(s) using public databases; and (iii) investigation of therapeutic potential of targeting the identified gene(s) in vitro. A semi-genome-wide shRNA screen was performed in NCI-H358 cells, and was integrated with data from our previous screen in NCI-H460 cells. Among genes identified in shRNA screens, 24 were present in both NCI-H358 and NCI-H460 cells and were considered potential targets. Among the genes, we focused on eIF2?, which is a subunit of heterotrimeric G protein EIF2 and functions as a transcription initiation factor. The eIF2? protein is highly expressed in lung cancer cell lines compared with normal bronchial epithelial cells, and gene copy number analyses revealed that eIF2? is amplified in a subset of NSCLC cell lines. Gene expression analysis using The Cancer Genome Atlas (TCGA) dataset revealed that eIF2? expression is significantly upregulated in lung cancer tissues compared with corresponding normal lung tissues. Furthermore, high eIF2? expression was correlated with poor survival in patients with lung adenocarcinoma, as shown in other cohorts using publicly available online tools. RNAi-mediated depletion of eIF2? suppresses growth of lung cancer cells independently of p53 mutation status, in part through G1 cell cycle arrest. Our data suggest that eIF2? is a therapeutic target for lung cancer.

SUBMITTER: Tanaka I

PROVIDER: S-EPMC5989750 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

eIF2β, a subunit of translation-initiation factor EIF2, is a potential therapeutic target for non-small cell lung cancer.

Tanaka Ichidai I Sato Mitsuo M Kato Toshio T Goto Daiki D Kakumu Tomohiko T Miyazawa Ayako A Yogo Naoyuki N Hase Tetsunari T Morise Masahiro M Sekido Yoshitaka Y Girard Luc L Minna John D JD Byers Lauren A LA Heymach John V JV Coombes Kevin R KR Kondo Masashi M Hasegawa Yoshinori Y

Cancer science 20180525 6

To identify novel therapeutic targets for non-small cell lung cancer (NSCLC), we conducted an integrative study in the following 3 stages: (i) identification of potential target gene(s) through shRNA functional screens in 2 independent NSCLC cell lines; (ii) validation of the clinical relevance of identified gene(s) using public databases; and (iii) investigation of therapeutic potential of targeting the identified gene(s) in vitro. A semi-genome-wide shRNA screen was performed in NCI-H358 cells ...[more]

PMID: 29624814

Similar Datasets

Project description:Background:Cap-dependent mRNA translation is essential for the translation of key oncogenic proteins at optimal levels and is highly regulated by the rate limiting, initiation step in protein synthesis. Eukaryotic Translation Initiation Factor 4 Gamma 1 (EIF4G1) serves as a scaffold for assembly of cap-dependent translation components in EIF4F complex formation. In the current study, we analyzed the role and expression of EIF4G1 in Pan human cancer panels through various approaches. Methods:Immunohistochemistry analysis of EIF4G1 protein was done on high-density multi-organ Human Cancer tissue microarray (TMA) derived from the patient samples from different cancers. We used multiple clinical cohorts to analyze the EIF4G1 mRNA expression across human cancers. TCGA data analysis of EIF4G1 was done through Ualcan and c-bioportal web servers. Western blots for EIF4G1 protein was done for different cell lines in representing the multiple cancer types. Dependency score was calculated through Cancer Dependency Map. Clonogenic, tumorosphere assay and cell invasion assay were done with EIF4G complex inhibitor. Association of EIF4G1 mRNA and Kaplan-Meier survival analysis was done on available TCGA datasets. Results:We observed an increase in EIF4G1 protein levels in tissue sections from different cancers as compared to their respective normal tissue. Our analysis of the TCGA data revealed that EIF4G1 mRNA expression is significantly increased in tumor tissues compared to respective control tissues across human cancers and variable expression was observed among different datasets. We discovered that alteration frequency in EIF4G1 is prevalent in human cancers e.g. prostate cancer (~?25%), ovarian cancer (~?15%), Head and Neck cancer (~?13%) and cervical cancer (~?12.5%). EIF4G1 mRNA and protein levels were high across cancer cell lines from multiple organs. Our analysis of DepMap datasets utilizing depletion assays revealed that EIF4G1 is critical for cancer cell survival. Treatment with EIF4G complex inhibitor impaired clonogenic, tumorosphere formation potential and inhibited cell invasion. Moreover, higher EIF4G1 mRNA level was associated with a lower median survival of patients in multiple tumor types. Conclusions:These studies show that EIF4G1 is amplified/over-expressed in multiple cancers and plays an essential role in cancer cell survival, as such EIF4G1 could serve as a novel potential target for therapeutic intervention across many cancers.

Dataset Information

EIF2?, a subunit of translation-initiation factor EIF2, is a potential therapeutic target for non-small cell lung cancer.

Publications

eIF2β, a subunit of translation-initiation factor EIF2, is a potential therapeutic target for non-small cell lung cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets