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Predictive biomarker of BET bromodomain inhibitor in Small cell lung cancer

$387,908ZIAFY2018CANIH

Division Of Basic Sciences - Nci

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Abstract

Through transcriptome analysis with publically available RNA-Seq data, we have identified one gene signature that can predict BET bromodomain inhibitor-sensitive and -resistant small cell lung cancer cell lines with 100% specificity. We have made significant progress in understanding the molecular features in association with the predictive biomarker that makes small cell lung cancer cells more sensitive to BETi. Finally, a collaboration with Boehringer Ingelheim has been established to validate the effectiveness of identified predictive biomarker in small cell lung cancer patients treated with its BET inhibitor.

View original record on NIH RePORTER →