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Baez-Ortega, A.

Publications and source records attributed to Baez-Ortega, A..

11 recordsLinked to original sources

Human 3D epithelioids enable continuous long-term clonal evolution studies across multiple epithelial tissues

Modeling human epithelia in vitro remains challenging because current systems do not fully preserve the combination of architecture, heterogeneity, clonal composition, and long-term dynamics shown in vivo. While 3D approaches such as organoids and organotypic cultures capture important aspects of lineage differentiation and niche signaling, they often lose stable organization over time, limiting studies of long-lasting processes such as clonal evolution and cell competition. Here, we present human epithelioids as continuous long-term, 3D epithelial cultures efficiently derived from eight adult human epithelia, including trachea, skin, buccal mucosa, esophagus, blader, urethra, submandibular gland and endometrium. Using immunostaining, electron microscopy, single-cell RNA sequencing, functional assays and somatic mutation analyses, we deeply characterized human epithelioids and confirmed that they recapitulate native architecture and cell diversity, sustain regenerative capacity, and preserve donor-specific mutational landscapes, establishing a robust and versatile platform for longitudinal interrogation of clonal evolution, tissue dynamics and responses to clinically relevant perturbations, including radiotherapy and chemotherapy, over extended timescales.

cancer biology↗

Dormancy, not apoptosis, restricts hematopoietic stem cell mutagenesis during aging

Genome instability and mutagenesis are hallmarks of aging, acting as drivers of some age-associated pathologies, including cancer1-3. Somatic cells engage multiple layers of protection against mutagenesis, including detoxification of genotoxic metabolites; repair of DNA damage; and elimination of cells which suffer excessive damage4-7. In this context, the intrinsic apoptotic pathway is engaged in response to activation of the DNA damage response (DDR) and is thought to play a major role in limiting accumulation of mutations, particularly in cells that act as an origin for cancer, such as somatic stem cells8,9. However, the dissection of the relative contribution of different protective mechanisms that restrict mutagenesis in such cells is confounded by the long time frame of experiments; relatively low mutation burden in non-malignant cells; and high variance across individuals due to differences in germ line and environment. Here we employ deep whole-genome sequencing (WGS) combined with extended time-course sampling from a range of experimental mouse models to study mutation acquisition in hematopoietic stem cells (HSCs) during aging. Having validated that murine HSCs recapitulate mutation acquisition patterns observed in aged human HSCs, we made the surprising discovery that apoptosis has a negligible role in restricting mutagenesis. Instead, we found that HSC dormancy inhibits mutagenesis during normal aging, with dormant HSCs from old mice demonstrating a mutation burden akin to their young counterparts. Importantly, breaking HSC dormancy via induction of sterile inflammation led to a dramatic acceleration in mutation rate, demonstrating that non-genotoxic environmental stimuli can modulate genome stability. These findings provide new insights into the correlation between inflammation and both aging and carcinogenesis.

cell biology↗

Immune and Mutational Profile of Gene-Edited Low-Immunogenic Human Primary Cholangiocyte Organoids

Primary human cells cultured in organoid format have great promise as potential regenerative cellular therapies. However, their immunogenicity and mutational profile remain unresolved, impeding effective long-term translation to the clinic. In this study we report, for the first time, the generation of human leukocyte antigen (HLA)-I and HLA-II knock-out expandable human primary cholangiocyte organoids (PCOs) using CRISPR-Cas9 as a potential universal low-immunogenic therapy for bile duct disorders. HLA-edited PCOs (ePCOs) displayed the same phenotypical and functional characteristics as parental un-edited PCOs. Despite minimal off-target edits, single-molecule DNA-sequencing demonstrated that ePCOs and PCOs acquire substantial mutations in culture at similar rates but without evident selection for cancer-driver mutations. ePCOs induced reduced T cell-mediated immunity and a donor-dependent NK cell cytotoxicity in vitro and evaded cytotoxic responses with increased graft survival in humanized mice in vivo. Our findings have important implications for assessment of safety and immunogenicity of organoid cellular therapies.

immunology↗

Horizontal transfer of nuclear DNA in transmissible cancer

Although somatic cell genomes are usually entirely clonally inherited, nuclear DNA exchange between cells of an organism can occur sporadically by cell fusion, phagocytosis or other mechanisms1-3. This phenomenon has long been noted in the context of cancer, where it could be envisaged that DNA horizontal transfer plays a functional role in disease evolution4-13. However, an understanding of the frequency and significance of this process in naturally occurring tumours is lacking. The host-tumour genetic discordance of transmissible cancers, malignant clones which pass between animals as allogeneic grafts, provides an opportunity to investigate this. We screened for host-to-tumour horizontal transfer of nuclear DNA in 174 tumours from three transmissible cancers affecting dogs and Tasmanian devils, and detected a single instance in the canine transmissible venereal tumour (CTVT). This involved introduction of a 15-megabase dicentric genetic element, composed of 11 rearranged fragments of six chromosomes, to a CTVT sublineage occurring in Asia around 2,000 years ago. The element forms the short arm of a small submetacentric chromosome, and derives from a dog with ancestry associated with the ancient Middle East. The introduced DNA fragment is transcriptionally active and has adopted the expression profile of CTVT. Its 143 genes do not, however, confer any obvious advantage to its spatially restricted CTVT sublineage. Our findings indicate that nuclear DNA horizontal transfer, although likely a rare event in tumour evolution, provides a viable mechanism for the acquisition of genetic material in naturally occurring cancer genomes.

cancer biology↗

The evolution of two transmissible cancers in Tasmanian devils

Tasmanian devils have spawned two transmissible cancer lineages, named devil facial tumour 1 (DFT1) and devil facial tumour 2 (DFT2). We investigated the genetic diversity and evolution of these clones by analysing 78 DFT1 and 41 DFT2 genomes relative to a newly assembled chromosome-level reference. Time-resolved phylogenetic trees reveal that DFT1 first emerged in 1986 (1982-1989), and DFT2 in 2011 (2009-2012). Subclone analysis documents transmission of heterogeneous cell populations. DFT2 has faster mutation rates than DFT1 across all variant classes, including substitutions, indels, rearrangements, transposable element insertions and copy number alterations, and we identify a hypermutated DFT1 lineage with defective DNA mismatch repair. Several loci show plausible evidence of positive selection in DFT1 or DFT2, including loss of chromosome Y and inactivation of MGA, but none are common to both cancers. This study illuminates the parallel long-term evolution of two transmissible cancers inhabiting a common niche in Tasmanian devils.

cancer biology↗

Somatic mutation rates scale with lifespan across mammals

The rates and patterns of somatic mutation in normal tissues are largely unknown outside of humans. Comparative analyses can shed light on the diversity of mutagenesis across species and on long-standing hypotheses regarding the evolution of somatic mutation rates and their role in cancer and ageing. Here, we used whole-genome sequencing of 208 intestinal crypts from 56 individuals to study the landscape of somatic mutation across 16 mammalian species. We found somatic mutagenesis to be dominated by seemingly endogenous mutational processes in all species, including 5-methylcytosine deamination and oxidative damage. With some differences, mutational signatures in other species resembled those described in humans, although the relative contribution of each signature varied across species. Remarkably, the somatic mutation rate per year varied greatly across species and exhibited a strong inverse relationship with species lifespan, with no other life-history trait studied displaying a comparable association. Despite widely different life histories among the species surveyed, including [~]30-fold variation in lifespan and [~]40,000-fold variation in body mass, the somatic mutation burden at the end of lifespan varied only by a factor of [~]3. These data unveil common mutational processes across mammals and suggest that somatic mutation rates are evolutionarily constrained and may be a contributing factor in ageing.

genomics↗

Aberrant integration of Hepatitis B virus DNA promotes major restructuring of human hepatocellular carcinoma genome architecture

Most cancers are characterized by the somatic acquisition of genomic rearrangements during tumour evolution that eventually drive the oncogenesis. There are different mutational mechanisms causing structural variation, some of which are specific to particular cancer types. Here, using multiplatform sequencing technologies, we identify and characterize a remarkable mutational mechanism in human hepatocellular carcinoma caused by Hepatitis B virus, by which DNA molecules from the virus are inserted into the tumour genome causing dramatic changes in its configuration, including non-homologous chromosomal fusions and megabase-size telomeric deletions. This aberrant mutational process, present in at least 8% of all HCC tumours, is active early during liver cancer evolution and can provide the driver rearrangements that a cancer clone requires to survive and grow.

cancer biology↗

sigfit: flexible Bayesian inference of mutational signatures

Mutational signature analysis aims to infer the mutational spectra and relative exposures of processes that contribute mutations to genomes. Different models for signature analysis have been developed, mostly based on non-negative matrix factorisation or non-linear optimisation. Here we present sigfit, an R package for mutational signature analysis that applies Bayesian inference to perform fitting and extraction of signatures from mutation data. We compare the performance of sigfit to prominent existing software, and find that it compares favourably. Moreover, sigfit introduces novel probabilistic models that enable more robust, powerful and versatile fitting and extraction of mutational signatures and broader biological patterns. The package also provides user-friendly visualisation routines and is easily integrable with other bioinformatic packages.

cancer biology↗

Germline determinants of the somatic mutation landscape in 2,642 cancer genomes

Cancers develop through somatic mutagenesis, however germline genetic variation can markedly contribute to tumorigenesis via diverse mechanisms. We discovered and phased 88 million germline single nucleotide variants, short insertions/deletions, and large structural variants in whole genomes from 2,642 cancer patients, and employed this genomic resource to study genetic determinants of somatic mutagenesis across 39 cancer types. Our analyses implicate damaging germline variants in a variety of cancer predisposition and DNA damage response genes with specific somatic mutation patterns. Mutations in the MBD4 DNA glycosylase gene showed association with elevated C>T mutagenesis at CpG dinucleotides, a ubiquitous mutational process acting across tissues. Analysis of somatic structural variation exposed complex rearrangement patterns, involving cycles of templated insertions and tandem duplications, in BRCA1-deficient tumours. Genome-wide association analysis implicated common genetic variation at the APOBEC3 gene cluster with reduced basal levels of somatic mutagenesis attributable to APOBEC cytidine deaminases across cancer types. We further inferred over a hundred polymorphic L1/LINE elements with somatic retrotransposition activity in cancer. Our study highlights the major impact of rare and common germline variants on mutational landscapes in cancer.

genomics↗

Pan-cancer analysis of whole genomes reveals driver rearrangements promoted by LINE-1 retrotransposition in human tumours

About half of all cancers have somatic integrations of retrotransposons. To characterize their role in oncogenesis, we analyzed the patterns and mechanisms of somatic retrotransposition in 2,954 cancer genomes from 37 histological cancer subtypes. We identified 19,166 somatically acquired retrotransposition events, affecting 35% of samples, and spanning a range of event types. L1 insertions emerged as the first most frequent type of somatic structural variation in esophageal adenocarcinoma, and the second most frequent in head-and-neck and colorectal cancers. Aberrant L1 integrations can delete megabase-scale regions of a chromosome, sometimes removing tumour suppressor genes, as well as inducing complex translocations and large-scale duplications. Somatic retrotranspositions can also initiate breakage-fusion-bridge cycles, leading to high-level amplification of oncogenes. These observations illuminate a relevant role of L1 retrotransposition in remodeling the cancer genome, with potential implications in the development of human tumours.

genomics↗

Computational approaches for discovery of mutational signatures in cancer

The accumulation of somatic mutations in a genome is the result of the activity of one or more mutagenic processes, each of which leaves its own imprint. The study of these DNA fingerprints, termed mutational signatures, holds important potential for furthering our understanding of the causes and evolution of cancer, and can provide insights of relevance for cancer prevention and treatment. In this review, we focus our attention on the mathematical models and computational techniques that have driven recent advances in the field.

bioinformatics↗