Concordance between Comprehensive Cancer Genome Profiling in Plasma and Tumor Specimens.

INTRODUCTION: Detection of somatic genomic alterations in the plasma of patients with cancer ("liquid biopsy") are increasingly being used in the clinic. However, the concordance of alterations identified in liquid biopsies with those detected in cancer specimens is not routinely being determined. METHODS: We sought to systematically compare alterations found by a massively parallel sequencing liquid biopsy assay covering 39 genes (NEOliquid [NEO New Oncology GmbH, Köln, Germany]) with those identified through routine diagnostic testing in a certified central pathology laboratory in a cohort of patients with nonsquamous NSCLC. NEOliquid is based on enrichment of the genomic territory of interest by hybrid capture and is thus capable of detecting point mutations, small insertions and deletions, copy number alterations, and gene rearrangements/fusions in a single assay. RESULTS: In a cohort of 82 patients with matched blood/tissue samples, the concordance between NEOliquid and tissue-based routine testing was 98%, the sensitivity of NEOliquid was higher than 70%, and the specificity was 100%. Discordant cases included those with insufficient amounts of circulaating tumor DNA in plasma and cases in which known driver mutations (e.g., isocitrate dehydrogenase (NADP(+)), 1 systolic gene [IDH1] R132H, kinesin family member 5B gene [KIF5b-ret proto-oncogene [RET], or MNNG HOS Transforming gene [MET] exon 14) were found in the plasma but were not interrogated by routine tissue analyses. CONCLUSIONS: In summary, NEOliquid offers accurate and reliable detection of clinically relevant driver alterations in plasma of patients with cancer.

Synthesis and biological evaluation of 4-anilinoquinolines as potent inhibitors of epidermal growth factor receptor.

The mutant receptor tyrosine kinase EGFR is a validated and therapeutically amenable target for genotypically selected lung cancer patients. Here we present the synthesis and biological evaluation of a series of 6- and 7-substituted 4-anilinoquinolines as potent type I inhibitors of clinically relevant mutant variants of EGFR. Quinolines 3a and 3e were found to be highly active kinase inhibitors in biochemical assays and were further investigated for their biological effect on EGFR-dependent Ba/F3 cells and non-small cell lung cancer (NSCLC) cell lines.

Predicting drug susceptibility of non-small cell lung cancers based on genetic lesions.

Somatic genetic alterations in cancers have been linked with response to targeted therapeutics by creation of specific dependency on activated oncogenic signaling pathways. However, no tools currently exist to systematically connect such genetic lesions to therapeutic vulnerability. We have therefore developed a genomics approach to identify lesions associated with therapeutically relevant oncogene dependency. Using integrated genomic profiling, we have demonstrated that the genomes of a large panel of human non-small cell lung cancer (NSCLC) cell lines are highly representative of those of primary NSCLC tumors. Using cell-based compound screening coupled with diverse computational approaches to integrate orthogonal genomic and biochemical data sets, we identified molecular and genomic predictors of therapeutic response to clinically relevant compounds. Using this approach, we showed that v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations confer enhanced Hsp90 dependency and validated this finding in mice with KRAS-driven lung adenocarcinoma, as these mice exhibited dramatic tumor regression when treated with an Hsp90 inhibitor. In addition, we found that cells with copy number enhancement of v-abl Abelson murine leukemia viral oncogene homolog 2 (ABL2) and ephrin receptor kinase and v-src sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (avian) (SRC) kinase family genes were exquisitely sensitive to treatment with the SRC/ABL inhibitor dasatinib, both in vitro and when it xenografted into mice. Thus, genomically annotated cell-line collections may help translate cancer genomics information into clinical practice by defining critical pathway dependencies amenable to therapeutic inhibition.

Standardized high-throughput evaluation of cell-based compound screens.

BACKGROUND: High-throughput screening of pharmaceutical compound activity in tissue culture experiments requires time-consuming repeated analysis of the large amounts of data generated. Automation of the evaluation procedure and assessment of measurement accuracy can save time and improve the comparability of results. RESULTS: We present a tool for simultaneous evaluation of an arbitrary number of compound screens including a standardized statistical validation. It is provided as a novel R package with a Tcl/Tk-based GUI for convenient use in the lab and runs on usual platforms like Linux, Windows and Mac OS. In a compound screen of lung cancer cells, the tool was successfully and efficiently applied for data analysis. CONCLUSION: The package provides an efficient and intuitive platform for automatic evaluation of compound screens, improving the performance and standardization of data analysis.