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Genetic and phenotypic profiling of single living circulating tumor cells from patients with microfluidics. | LitMetric

AI Article Synopsis

  • The study focuses on improving immunotherapy outcomes for cancer patients by analyzing both genetic and phenotypic diversity in individual cells, potentially leading to better-targeted treatments.
  • Researchers developed a nanoplatform that captures circulating tumor cells (CTCs) from blood samples and uses advanced technology to measure gene expression and analyze cell behavior in real-time.
  • This platform successfully generated a predictive index for identifying patients likely to benefit from immune checkpoint inhibitors, showing higher accuracy compared to existing clinical methods based on data from 80 lung cancer patients.

Article Abstract

Accurate prediction of the efficacy of immunotherapy for cancer patients through the characterization of both genetic and phenotypic heterogeneity in individual patient cells holds great promise in informing targeted treatments, and ultimately in improving care pathways and clinical outcomes. Here, we describe the nanoplatform for interrogating living cell host-gene and (micro-)environment (NICHE) relationships, that integrates micro- and nanofluidics to enable highly efficient capture of circulating tumor cells (CTCs) from blood samples. The platform uses a unique nanopore-enhanced electrodelivery system that efficiently and rapidly integrates stable multichannel fluorescence probes into living CTCs for in situ quantification of target gene expression, while on-chip coculturing of CTCs with immune cells allows for the real-time correlative quantification of their phenotypic heterogeneities in response to immune checkpoint inhibitors (ICI). The NICHE microfluidic device provides a unique ability to perform both gene expression and phenotypic analysis on the same single cells in situ, allowing us to generate a predictive index for screening patients who could benefit from ICI. This index, which simultaneously integrates the heterogeneity of single cellular responses for both gene expression and phenotype, was validated by clinically tracing 80 non-small cell lung cancer patients, demonstrating significantly higher AUC (area under the curve) (0.906) than current clinical reference for immunotherapy prediction.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11087790PMC
http://dx.doi.org/10.1073/pnas.2315168121DOI Listing

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