bioRxiv Science⌕ Search

Biology subjects

Loughran, E.

Publications and source records attributed to Loughran, E..

2 recordsLinked to original sources

Pervasive Chromosomal Instability Drives the Karyotypic Evolution of Hypodiploid Tumours

Tumours frequently exhibit extreme levels of aneuploidy. While increases in ploidy are well-characterised, the opposite phenomenon--extensive chromosome loss leading to hypodiploidy-- remains underexplored. Here, we analyse over 17,000 cancer genomes from 34 cancer types and perform a pan-cancer analysis of karyotypic evolution in hypodiploid tumours. We find that hypodiploidy is widespread and associated with a generalised chromosomal instability phenotype, marked by significantly elevated rates of genome doubling, intrachromosomal copy number alterations, chromothripsis, and intra-tumour heterogeneity. These tumours are hypoxic and strongly enriched for TP53 mutations. However, we also identify a subset of cancers--acute lymphoblastic leukaemia (ALL), kidney chromophobe, and adrenocortical carcinoma--that exhibit stable hypodiploidy, with stereotyped chromosome loss patterns, low chromosomal instability, and distinct evolutionary origins. We exploit this stability to develop a simple method of distinguishing poor-prognosis masked hypodiploid from good-prognosis hyperdiploid ALL using only cytogenetic data, enabling more precise risk stratification. Finally, we show that hypodiploidy predicts poor prognosis across cancers. Genome doubling does not confer a fitness advantage in low-hypodiploid tumours, nor do these tumours evolve to avoid loss of dosage-sensitive genes. Together, these findings provide the first pan-cancer characterization of hypodiploidy as a widespread and clinically relevant phenomenon often driven by pervasive chromo-somal instability, and illustrate the remarkable ability of cancer cells to tolerate and evolve under extreme dosage imbalance.

cancer biology↗

On the Apportionment of Archaic Human Diversity

The apportionment of human genetic diversity within and between populations has been measured to understand human relatedness and demographic history. Likewise, the distribution of archaic ancestry in modern populations can be leveraged to better understand the interaction between our species and its archaic relatives, and the impact of natural selection on archaic segments of the human genome. Resolving these interactions can be difficult, as archaic variants in modern populations have also been shaped by genetic drift, bottlenecks, and gene flow. Here, we investigate the apportionment of archaic variation in Eurasian populations. We find that archaic genome coverage at the individual- and population-level present unique patterns in modern human population: South Asians have an elevated count of population-unique archaic SNPs, and Europeans and East Asians have a higher degree of archaic SNP sharing, indicating that population demography and archaic admixture events had distinct effects in these populations. We confirm previous observations that East Asians have more Neanderthal ancestry than Europeans at an individual level, but surprisingly Europeans have more Neandertal ancestry at a population level. In comparing these results to our simulated models, we conclude that these patterns likely reflect a complex series of interactions between modern humans and archaic populations.

genomics↗