Single cell DNA sequencing reveals distinct molecular types of basal cell carcinoma with unique transcriptome features [article]

Bjorn Bakker, Jorrit Terra, Lin Zhou, Emoke Racz, Sonja Paljic, Jorge Garcia-Martinez, Vera Oliveira, Petra L Bakker, Diana C.J. Spierings, Marcel F. Jonkman, Floris Foijer
2018 bioRxiv   pre-print
Aneuploidy, a hallmark of cancer, is the result of chromosomal instability (CIN) during mitosis. While some aneuploid cancers display stable karyotypes, other tumours display cell-to-cell karyotype variability indicative of CIN. CIN cancers are typically associated with poor clinical outcome, as they are endowed with the potential to adjust their genomes to changing conditions including therapy. To further explore this, we assessed the degree of aneuploidy and CIN in basal cell carcinoma (BCC)
more » ... nd investigated whether the karyotypic makeup of tumours was associated with distinct transcriptional responses. Patients and Methods: Samples from 11 BCC patients were processed for single-cell whole genome sequencing (scWGS) to measure aneuploidy and karyotype heterogeneity. In parallel, samples were processed for transcriptome analysis. Results: scWGS revealed different grades of aneuploidy between BCCs, ranging from euploidy to tumours with up to 7 aneusomic chromosomes. Importantly, a subset of BCCs displayed intratumour karyotype heterogeneity, indicating that CIN can play a role in BCC. Samples were clustered into three groups based on the level of aneuploidy and intratumour karyotype heterogeneity. Karyotype-driven group classification was also reflected by the tumour transcriptomes and revealed distinct gene expression signatures related to metabolism for aneuploid BCCs and a DNA damage signature for CIN BCCs. Conclusions: While BCCs are typically classified based on histopathological features, we find that BCCs can be stratified based on karyotypic landscape. Importantly, this classification is linked to distinct molecular features and could thus be the starting point of a molecular classification system for BCC including a readout for CIN. Importantly, the approach that we have developed is broadly applicable and could therefore also improve the diagnosis and treatment of other cancer types.
doi:10.1101/492199 fatcat:ian4yuwrvze75lmagaoaxtvyti