AI Article Synopsis

  • The study focuses on a semi-automated microscopy method for analyzing circulating tumor cells (CTCs) in non-small-cell lung cancer (NSCLC) and metastatic prostate cancer (mPCa) patients, addressing the limitations of traditional filtration methods.
  • Through a combination of fluorescent and cytomorphological staining techniques along with advanced scanning methods, the researchers developed two assays to enhance the detection and analysis of CTCs by selectively targeting CD45(-) cells.
  • The results showed that the new scanning parameters and a multi-exposure protocol significantly improved the analysis of CTC characteristics, successfully detecting a high percentage of CTCs associated with specific genetic rearrangements in the cancer patients studied.

Article Abstract

Background: Circulating tumor cell (CTC)-filtration methods capture high numbers of CTCs in non-small-cell lung cancer (NSCLC) and metastatic prostate cancer (mPCa) patients, and hold promise as a non-invasive technique for treatment selection and disease monitoring. However filters have drawbacks that make the automation of microscopy challenging. We report the semi-automated microscopy method we developed to analyze filtration-enriched CTCs from NSCLC and mPCa patients.

Methods: Spiked cell lines in normal blood and CTCs were enriched by ISET (isolation by size of epithelial tumor cells). Fluorescent staining was carried out using epithelial (pan-cytokeratins, EpCAM), mesenchymal (vimentin, N-cadherin), leukocyte (CD45) markers and DAPI. Cytomorphological staining was carried out with Mayer-Hemalun or Diff-Quik. ALK-, ROS1-, ERG-rearrangement were detected by filter-adapted-FISH (FA-FISH). Microscopy was carried out using an Ariol scanner.

Results: Two combined assays were developed. The first assay sequentially combined four-color fluorescent staining, scanning, automated selection of CD45(-) cells, cytomorphological staining, then scanning and analysis of CD45(-) cell phenotypical and cytomorphological characteristics. CD45(-) cell selection was based on DAPI and CD45 intensity, and a nuclear area >55 μm(2). The second assay sequentially combined fluorescent staining, automated selection of CD45(-) cells, FISH scanning on CD45(-) cells, then analysis of CD45(-) cell FISH signals. Specific scanning parameters were developed to deal with the uneven surface of filters and CTC characteristics. Thirty z-stacks spaced 0.6 μm apart were defined as the optimal setting, scanning 82 %, 91 %, and 95 % of CTCs in ALK-, ROS1-, and ERG-rearranged patients respectively. A multi-exposure protocol consisting of three separate exposure times for green and red fluorochromes was optimized to analyze the intensity, size and thickness of FISH signals.

Conclusions: The semi-automated microscopy method reported here increases the feasibility and reliability of filtration-enriched CTC assays and can help progress towards their validation and translation to the clinic.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946105PMC
http://dx.doi.org/10.1186/s12885-016-2461-4DOI Listing

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