Sinchita Roy-Chowdhuri1, Chi-Wan Chow2, Mary K Kane1, Hui Yao2,3, Ignacio I Wistuba2, Savitri Krishnamurthy1, John Stewart1, Gregg Staerkel1. 1. Cytopathology Section, Department of Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas. 2. Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas. 3. Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Abstract
BACKGROUND: Cytology smears and cytospin preparations are increasingly being used for molecular testing. With these limited samples, optimizing tissue extraction to maximize the DNA yield is, therefore, critical. This study examined 2 common methods of tissue extraction and compared DNA yields from different types of glass slides. METHODS: The H226 lung cancer cell line and 5 clinical samples of cellular effusions were used to prepare Diff-Quik-stained cytospins on 4 types of glass slides: fully frosted (FF), nonfrosted (NF), positively charged (PC), and silane-coated (SC). Tissue extraction was performed by either scalpel-blade scraping or cell lifting with the Pinpoint Slide DNA Isolation System (Zymo Research). DNA was extracted with the QIAamp DNA Mini Kit (Qiagen) and was quantified with the Quant-iT PicoGreen Kit (Life Technologies). RESULTS: The DNA yield in cell-line cytospins was significantly lower from FF slides versus NF, PC, and SC slides with both scraping and cell-lifting methods. In addition, scraping yielded significantly more DNA than cell lifting (P = .005). DNA yields from 5 clinical effusion cases with FF and NF slides showed results similar to the results for cell-line samples, with scraping consistently yielding more DNA than cell lifting and with NF slides outperforming FF slides. CONCLUSIONS: Optimizing the DNA yield extracted from cytology specimens maximizes the chances of successful molecular testing and is critical in cases of low or marginal cellularity. This study demonstrates the following: 1) scraping yields more DNA than cell lifting, and 2) NF slides yield more DNA than FF slides.
BACKGROUND: Cytology smears and cytospin preparations are increasingly being used for molecular testing. With these limited samples, optimizing tissue extraction to maximize the DNA yield is, therefore, critical. This study examined 2 common methods of tissue extraction and compared DNA yields from different types of glass slides. METHODS: The H226 lung cancer cell line and 5 clinical samples of cellular effusions were used to prepare Diff-Quik-stained cytospins on 4 types of glass slides: fully frosted (FF), nonfrosted (NF), positively charged (PC), and silane-coated (SC). Tissue extraction was performed by either scalpel-blade scraping or cell lifting with the Pinpoint Slide DNA Isolation System (Zymo Research). DNA was extracted with the QIAamp DNA Mini Kit (Qiagen) and was quantified with the Quant-iT PicoGreen Kit (Life Technologies). RESULTS: The DNA yield in cell-line cytospins was significantly lower from FF slides versus NF, PC, and SC slides with both scraping and cell-lifting methods. In addition, scraping yielded significantly more DNA than cell lifting (P = .005). DNA yields from 5 clinical effusion cases with FF and NF slides showed results similar to the results for cell-line samples, with scraping consistently yielding more DNA than cell lifting and with NF slides outperforming FF slides. CONCLUSIONS: Optimizing the DNA yield extracted from cytology specimens maximizes the chances of successful molecular testing and is critical in cases of low or marginal cellularity. This study demonstrates the following: 1) scraping yields more DNA than cell lifting, and 2) NF slides yield more DNA than FF slides.
Authors: Emily Hopkins; David Moffat; Ian Parkinson; Peter Robinson; Hubertus Jersmann; Brendan Dougherty; Mohammed I Birader; Kate Francis; Phan Nguyen Journal: J Thorac Dis Date: 2016-09 Impact factor: 2.895