Permission to pass: on the role of p53 as a gatekeeper for aneuploidy.

Aneuploidy-the karyotype state in which the number of chromosomes deviates from a multiple of the haploid chromosome set-is common in cancer, where it is thought to facilitate tumor initiation and progression. However, it is poorly tolerated in healthy cells: during development and tissue homeostasis, aneuploid cells are efficiently cleared from the population. It is still largely unknown how cancer cells become, and adapt to being, aneuploid. P53, the gatekeeper of the genome, has been proposed to guard against aneuploidy. Aneuploidy in cancer genomes strongly correlates with mutations in TP53, and p53 is thought to prevent the propagation of aneuploid cells. Whether p53 also participates in preventing the mistakes in cell division that lead to aneuploidy is still under debate. In this review, we summarize the current understanding of the role of p53 in protecting cells from aneuploidy, and we explore the consequences of functional p53 loss for the propagation of aneuploidy in cancer.

Nuclear chromosome locations dictate segregation error frequencies.

Chromosome segregation errors during cell divisions generate aneuploidies and micronuclei, which can undergo extensive chromosomal rearrangements such as chromothripsis1-5. Selective pressures then shape distinct aneuploidy and rearrangement patterns-for example, in cancer6,7-but it is unknown whether initial biases in segregation errors and micronucleation exist for particular chromosomes. Using single-cell DNA sequencing8 after an error-prone mitosis in untransformed, diploid cell lines and organoids, we show that chromosomes have different segregation error frequencies that result in non-random aneuploidy landscapes. Isolation and sequencing of single micronuclei from these cells showed that mis-segregating chromosomes frequently also preferentially become entrapped in micronuclei. A similar bias was found in naturally occurring micronuclei of two cancer cell lines. We find that segregation error frequencies of individual chromosomes correlate with their location in the interphase nucleus, and show that this is highest for peripheral chromosomes behind spindle poles. Randomization of chromosome positions, Cas9-mediated live tracking and forced repositioning of individual chromosomes showed that a greater distance from the nuclear centre directly increases the propensity to mis-segregate. Accordingly, chromothripsis in cancer genomes9 and aneuploidies in early development10 occur more frequently for larger chromosomes, which are preferentially located near the nuclear periphery. Our findings reveal a direct link between nuclear chromosome positions, segregation error frequencies and micronucleus content, with implications for our understanding of tumour genome evolution and the origins of specific aneuploidies during development.

Induction of apoptosis increases sensitivity to detect cancer mutations in plasma.

BACKGROUND: The study of cell-free DNA (cfDNA), namely the fraction derived from tumors (ctDNA), is a clinically relevant noninvasive biomarker for cancer management. However, the intrinsic low abundance of ctDNA in plasma limits its implementation in the clinic. AIM OF THE STUDY: In this study, the objective was to demonstrate that induction of apoptosis-the major source of ctDNA-increases ctDNA concentration, thereby increasing the sensitivity to detect clinically relevant mutations in plasma. METHODS: In vitro models were used to test the effect of docetaxel on the release levels of DNA from lung cancer cells. In vivo, Rag2-/-IL2rg-/- immunodeficient C57BL/6 xenografted mice were treated with docetaxel for 24 h or 48 h. Tumor tissue and blood were collected to evaluate the levels of apoptosis DNA release levels, respectively. RESULTS: We observed increased levels of apoptosis in H1975 cells and a consequent increase in cfDNA released into the culture medium after docetaxel treatment. In vivo, the results show increased cfDNA concentration in plasma of xenografted mice after apoptosis stimulation. Importantly, treatment increased the sensitivity of detection of relevant cancer mutations, namely 24 h after treatment. CONCLUSION: This study provides new insights regarding the importance of timing for blood collection. In our experimental model, we demonstrate that blood collection should be performed 24 h after treatment (apoptosis induction), for optimal ctDNA analysis. Translating these results into the clinical setting is likely to increase sensitivity to detect tumor-derived mutations in plasma, might help guide the therapeutic decision, and optimize current liquid biopsy procedures for situations where tissue analysis is not possible.