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Accurate tumor clonal structures require single-cell analysis.

Xian-Bin SuShihao BaiGangcai XieYi ShiLinan ZhaoGuoliang YangFutong TianKun-Yan HeLan WangXiaolin LiQi LongZe-Guang Han
Published in: Annals of the New York Academy of Sciences (2022)
Tumor clonal structure is closely related to future progression, which has been mainly investigated as mutation abundance clustering in bulk samples. With relatively limited studies at single-cell resolution, a systematic comparison of the two approaches is still lacking. Here, using bulk and single-cell mutational data from the liver and colorectal cancers, we checked whether co-mutations determined by single-cell analysis had corresponding bulk variant allele frequency (VAF) peaks. While bulk analysis suggested the absence of subclonal peaks and, possibly, neutral evolution in some cases, the single-cell analysis identified coexisting subclones. The overlaps of bulk VAF ranges for co-mutations from different subclones made it difficult to separate them. Complex subclonal structures and dynamic evolution could be hidden under the seemingly clonal neutral pattern at the bulk level, suggesting single-cell analysis is necessary to avoid underestimation of tumor heterogeneity.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • mass spectrometry
  • young adults
  • drug induced