Circulating tumor cells (CTCs) are shed into the bloodstream from primary and metastatic tumor deposits. Their isolation and analysis hold great promise for the early detection of invasive cancer and the management of advanced disease, but technological hurdles have limited their broad clinical utility. We describe an inertial focusing–enhanced microfluidic CTC capture platform, termed “CTC-iChip,” that is capable of sorting rare CTCs from whole blood at 107 cells/s. Most importantly, the iChip is capable of isolating CTCs using strategies that are either dependent or independent of tumor membrane epitopes, and thus applicable to virtually all cancers. We specifically demonstrate the use of the iChip in an expanded set of both epithelial and nonepithelial cancers including lung, prostate, pancreas, breast, and melanoma. The sorting of CTCs as unfixed cells in solution allows for the application of high-quality clinically standardized morphological and immunohistochemical analyses, as well as RNA-based single-cell molecular characterization. The combination of an unbiased, broadly applicable, high-throughput, and automatable rare cell sorting technology with generally accepted molecular assays and cytology standards will enable the integration of CTC-based diagnostics into the clinical management of cancer.

Purpose The T790M gatekeeper mutation in the Epidermal Growth Factor Receptor (EGFR) is acquired by some EGFR-mutant non-small cell lung cancers (NSCLC) as they become resistant to selective tyrosine kinase inhibitors (TKIs). As third generation EGFR TKIs that overcome T790M-associated resistance become available, noninvasive approaches to T790M detection will become critical to guide management. Experimental Design As part of a multi-institutional Stand-Up-To-Cancer collaboration, we performed an exploratory analysis of 40 patients with EGFR-mutant tumors progressing on EGFR TKI therapy. We compared the T790M genotype from tumor biopsies with analysis of simultaneously collected circulating tumor cells (CTC) and circulating tumor DNA (ctDNA). Results T790M genotypes were successfully obtained in 30 (75%) tumor biopsies, 28 (70%) CTC samples and 32 (80%) ctDNA samples. The resistance-associated mutation was detected in 47–50% of patients using each of the genotyping assays, with concordance among them ranging from 57–74%. While CTC- and ctDNA-based genotyping were each unsuccessful in 20–30% of cases, the two assays together enabled genotyping in all patients with an available blood sample, and they identified the T790M mutation in 14 (35%) patients in whom the concurrent biopsy was negative or indeterminate. Conclusion Discordant genotypes between tumor biopsy and blood-based analyses may result from technological differences, as well as sampling different tumor cell populations. The use of complementary approaches may provide the most complete assessment of each patient’s cancer, which should be validated in predicting response to T790M-targeted inhibitors.

As prevention programs become disseminated, the most serious threat to effectiveness is maintaining the quality of implementation intended by the developers. This paper proposes a methodology for measuring quality of implementation in school settings and presents data from a pilot study designed to test several of the proposed components. These methods included assessments of adherence, quality of process, the positive or negative valence of adaptations, teachers' attitudes and teachers' understanding of program content. This study was conducted with 11 teachers who had varying degrees of experience who taught Life Skills Training. Observation and interview data were collected during visits to schools. Results suggest that quality of implementation can be measured through observation and interview. Teachers varied in adherence and quality of program delivery. All teachers made adaptations to the program. Experienced teachers were more likely to adhere to the curriculum, deliver it in a way that was more interactive and engaging to students, communicate the goals and objectives better, and make positive adaptations. The field can use these findings as the basis for exploring strategies for measuring and improving quality of implementation.