All cancers were once normal cells. They became cancerous through the chance acquisition of particular somatic mutations that gave them a selective advantage over their neighbours. Thus, the mutations that initiate cancer occur in normal cells, and the normal clonal dynamics of the tissue determine a mutant cell's ability to establish a malignant clone; yet these remain poorly understood in humans. One tissue was selected for the exploration of each of these two facets of somatic evolution: blood for clonal dynamics; colon for mutational processes. Blood presents an opportunity to study normal human clonal dynamics, as clones mix spatially and longitudinal samples can be taken. We isolated 140 single haematopoietic stem and progenitor cells from a healthy 59 year-old and grew them in vitro into colonies that were whole genome sequenced. Population genetics approaches were applied to this dataset, allowing us to elucidate for the first time the number of active haematopoietic stem cells, the rate at which clones grow and shrink, and the cellular output of stem cell clones. Colonic epithelium is organised into crypts, at the base of which sit a small number of stem cells. All cells in a crypt ultimately share an ancestor in one stem cell that existed recently, and consequently share the mutations that were present in this ancestor. We exploited this natural clonal unit, isolating single colonic crypts through laser capture microdissection. 570 colonic crypts from 42 individuals were whole genome sequenced. We describe the burden and pattern of somatic mutations in these genomes and their variability across and within different people, identifying some mutational processes that are ubiquitous and others that are sporadic. Targeted sequencing of an additional 1,500 crypts allowed us to quantify the frequency of driver mutations in normal human colon. Together, these two studies inform on the somatic evolution of normal tissues, describing new biology in human tissue homeostasis and providing a window into the processes that govern cancer incidence.

Somatic mutations are the main triggers that initiate the formation of cancer. Large sequencing data sets in recent years revealed a substantial number of mutational processes, many of which are poorly understood or of completely unknown aetiology. These mutational processes leave characteristic sequence patterns, often called "signatures", in the DNA. Characterisation of the mutational patterns observed in cancer patients with respect to different genomic features and processes can help to unravel the aetiology and mechanisms of mutagenesis. Here, we explored the effects of DNA modifications and DNA replication on mutagenesis. The most common mutation type, C>T mutations in a CpG context, is thought to result from spontaneous deamination of 5-methylcytosine (5mC), the major DNA modification. Much less is known about the mutational properties of the second most frequent modification, 5-hydroxymethylcytosine (5hmC). Integrating multiple genomic data sets, we demonstrate a twofold lower mutagenicity of 5hmC compared to 5mC, present across multiple tissues. Subsequently, we show how DNA modifications may modulate various mutational processes. In addition to spontaneous deamination of 5mC, our analysis suggests a key role of replication in CpG > TpG mutagenesis in patients deficient in post-replicative proofreading or repair, and possibly also in other cancer patients. Together with an analysis of mutation patterns observed in cancers exposed to UV light, tobacco smoke, or editing by APOBEC enzymes, the results show that the role of DNA modifications goes beyond the well-known spontaneous deamination of 5mC. Finally, we explored which of the known mutational processes might be modulated by DNA replication. We developed a novel method to quantify the magnitude of strand asymmetry of different mutational signatures in individual patients followed by evaluation of these exposures in early and late replicating regions. More than 75 % of mutational signatures exhibited a significant replication strand asymmetry or correlation with replication timing. The analysis gives new insights into mechanisms of mutagenicity in multiple signatures, particularly the so far enigmatic signature 17, where we suggest an involvement of oxidative damage in its aetiology. In conclusion, our results suggest that DNA replication or replication-associated DNA repair interacts with most mutagenic processes.

(EN) Humans and cells in their bodies are exposed to various mutagens in their lifetime that cause DNA damage and mutations, which affect the biology and physiology of the target cell, and can lead to the expansion of an immortalized cell clone. Genome-wide massively parallel sequencing allows the identification of DNA mutations in the coding sequences (whole exome sequencing, WES), or even the entire genome of a tumour. Mutational signatures of individual mutagenic processes can be extracted from these data, as well as mutations in genes potentially important for cancer development ('cancer drivers', as opposed to 'passengers', which do not confer a comparative growth advantage to a cell clone). Many known mutational signatures do not yet have an attributed cause; and many known mutagens do not have an attributed signature. Similarly, it is estimated that many cancer driver genes remain to be identified. This Thesis proposes a system based on immortalization of mouse embryonic fibroblasts (MEF) upon mutagen treatment for modelling of mutational signatures and identification and testing of cancer driver genes and mutations. The signatures extracted from WES data of 25 immortalized MEF cell lines, which arose upon treatment with a variety of mutagens, showed that the assay recapitulates the...

Les génomes du cancer présentent une mosaïque de types de mutations. Trente signatures mutationnelles ont été identifiées à partir d'un grand nombre de tumeurs humaines primaires. Déchiffrer l'origine de ces signatures mutationnelles pourrait aider à identifier les causes du cancer humain. Environ 40% des signatures décrites sont d'origine inconnue, soulignant la nécessité de modèles expérimentaux contrôlés pour étudier l'origine de ces signatures. Au cours de mon travail de doctorat, j'ai caractérisé et utilisé des modèles in vitro et in vivo d'exposition aux cancérogènes, caractériser les signatures mutationnelles au niveau de génome entier de plusieurs composés cancérogènes pour lesquels le spectre de mutations n'était pas connu ou controversé. Tout d'abord, les conditions de cytotoxicités et genotoxicités pour chaque composé ont été établies et la formation d'adduits d'ADN a été évaluée. Suite au séquençage du gène TP53, on a effectué un séquençage au niveau du génome des clones MEF immortalisés dérivés de l'exposition à l'acrylamide, au glycidamide et à l'ochratoxine A. Le travail suggère une nouvelle signature mutationnelle unique pour l'acrylamide et médiée par son métabolite actif, le glycidamide. En fait, le motif des mutations de glycidamide, correspondant au profil de sa signature mutationnelle, a récapitulé les types de mutations attendus en fonction de l'analyse des adduits d'ADN. En outre, une analyse intégrée utilisant des modèles in vitro et in vivo suggère un manque de mutagénicité directe pour l'OTA avec une contribution potentielle d'un mode d'action lié à la production des radicaux libres à la signature mutationnelle OTA dans les MEF. Cette stratégie expérimentale simple et puissante peut faciliter l'interprétation des empreintes de mutations identifiées dans les tumeurs humaines, élucider l'étiologie du cancer et finalement soutenir la classification des cancers du CIRC en fournissant des preuves mécanistes / Cancer genomes harbour a mosaic of mutation patterns from which thirty mutational signatures have been identified, each attributable to a particular known or yet undetermined causal process. Deciphering the origins of these global mutational signatures in full could help identify the causes of human cancer, especially for about 40% of those signatures identified thus far that remain without a known etiological factor. Thus, well-controlled experimental exposure models can be used to assign particular mutational signatures to various mutagenic factors.During the time frame of my PhD work, I characterized and employed innovative in vitro and in vivo models of carcinogen exposure, namely, primary Hupki MEF cells, HepaRG and lymphoblastoid cell lines as well as rodent tumors. The cytotoxic and genotoxic conditions for each tested exposure compound were established and DNA adduct formation was assessed in select cases. Following a pre-screen by TP53 gene sequencing, genome-wide sequencing of immortalized Hupki MEF clones derived from exposure to acrylamide, glycidamide and ochratoxin A was performed, alongside whole genome sequencing of ochratoxin A induced rat renal tumors. The results reveal a novel mutational signature of acrylamide mediated by its active metabolite, glycidamide, a pattern that can be explained by the parallel analysis of individual glycidamide-DNA adducts. In addition, an integrative mutation analysis using in vitro and in vivo models suggests a lack of direct mutagenicity for OTA and possible indirect effects due to the ROS-mediated mode-of-action in MEF cells. The presented robust experimental strategy can facilitate the interpretation of mutation fingerprints identified in human tumors, thereby elucidating cancer etiology, elucidating the relationship between mutagenesis and carcinogenesis and ultimately providing mechanistic evidence for IARC’s carcinogen classification