Deep targeted sequencing of cytological tumor cells using whole genome amplification.

BACKGROUND: Genomic profiling in lung cancer is essential for precision medicine. Cytological specimens provide an alternative to formalin-fixed paraffin-embedded (FFPE) samples for comprehensive genomic analysis. However, this approach remains challenging when a limited number of tumor cells are available. We applied whole genome amplification (WGA) to cytology specimens to overcome this limitation.

METHODS: Using a lung cancer panel targeting 58 genes, we performed next-generation sequencing of whole genome-amplified DNA extracted from cytological specimens containing 10-20 tumor cells (cyto-WGA) and DNA from corresponding FFPE tumor tissue. We compared sequencing data from cyto-WGA and FFPE samples to examine the detection accuracy of copy number variations and oncogenic and drug-matched variants.

RESULTS: The DNA quality and quantity from cyto-WGA were higher than those from FFPE samples (p < .0005 and p < .05, respectively). Sequencing metrics of cyto-WGA and FFPE tissues showed no difference in the number of mapped reads and mean coverage depth, but there were significant differences in the on-target rate (p < .05) and uniformity (p < .0005). Copy number variations in cyto-WGA samples (n = 211) were higher than in FFPE samples (n = 9) (p < .0001). Fourty nine oncogenic variants were detected in cyto-WGA and 39 in FFPE. Of these variants, 34 (63%) were present in both samples. In addition, all 16 drug-matched variants were detected in FFPE and cyto-WGA samples with 100% concordance.

CONCLUSION: Cyto-WGA can be a feasible and alternative method to detect oncogenic and drug-matched variants.