Differential motif enrichment analysis of paired ChIP-seq experiments

Motif enrichment analysis of transcription factor ChIP-seq data can help identify transcription factors that cooperate or compete. Previously, little attention has been given to comparative motif enrichment analysis of pairs of ChIP-seq experiments, where the binding of the same transcription factor is assayed under different conditions. Such comparative analysis could potentially identify the distinct regulatory partners/competitors of the assayed transcription factor under different conditions or at different stages of development

Reconstructing Oral Cavity Tumor Evolution Through Brush Biopsy

Oral potentially malignant disorders (OPMDs) with genomic alterations have a heightened risk of evolving into oral squamous cell carcinoma (OSCC). Currently, genomic data are typically obtained through invasive tissue biopsy. However, brush biopsy is a non-invasive method that has been utilized for identifying dysplastic cells in OPMD but its effectiveness in reflecting the genomic landscape of OPMDs remains uncertain. This pilot study investigates the potential of brush biopsy samples in accurately reconstructing the genomic profile and tumor evolution in a patient with both OPMD and OSCC. We analyzed single nucleotide variants (SNVs), copy number aberrations (CNAs), and subclonal architectures in paired tissue and brush biopsy samples. The results showed that brush biopsy effectively captured 90% of SNVs and had similar CNA profiles as those seen in its paired tissue biopsies in all lesions. It was specific, as normal buccal mucosa did not share these genomic alterations. Interestingly, brush biopsy revealed shared SNVs and CNAs between the distinct OPMD and OSCC lesions from the same patient, indicating a common ancestral origin. Subclonal reconstruction confirmed this shared ancestry, followed by divergent evolution of the lesions. These findings highlight the potential of brush biopsies in accurately representing the genomic profile of OPL and OSCC, proving insight into reconstructing tumor evolution

Age-Specific Induction of Mutant P53 Drives Clonal Hematopoiesis and Acute Myeloid Leukemia in Adult Mice

The investigation of the mechanisms behind p53 mutations in acute myeloid leukemia (AML) has been limited by the lack of suitable mouse models, which historically have resulted in lymphoma rather than leukemia. This study introduces two new AML mouse models. One model induces mutant p53 and Mdm2 haploinsufficiency in early development, showing the role of Mdm2 in myeloid-biased hematopoiesis and AML predisposition, independent of p53. The second model mimics clonal hematopoiesis by inducing mutant p53 in adult hematopoietic stem cells, demonstrating that the timing of p53 mutation determines AML vs. lymphoma development. In this context, age-related changes in hematopoietic stem cells (HSCs) collaborate with mutant p53 to predispose toward myeloid transformation rather than lymphoma development. Our study unveils new insights into the cooperative impact of HSC age, Trp53 mutations, and Mdm2 haploinsufficiency on clonal hematopoiesis and the development of myeloid malignancies

The History of Chromosomal Instability in Genome-Doubled Tumors

Tumors frequently display high chromosomal instability and contain multiple copies of genomic regions. Here, we describe Gain Route Identification and Timing In Cancer (GRITIC), a generic method for timing genomic gains leading to complex copy number states, using single-sample bulk whole-genome sequencing data. By applying GRITIC to 6,091 tumors, we found that non-parsimonious evolution is frequent in the formation of complex copy number states in genome-doubled tumors. We measured chromosomal instability before and after genome duplication in human tumors and found that late genome doubling was followed by an increase in the rate of copy number gain. Copy number gains often accumulate as punctuated bursts, commonly after genome doubling. We infer that genome duplications typically affect the landscape of copy number losses, while only minimally impacting copy number gains. In summary, GRITIC is a novel copy number gain timing framework that permits the analysis of copy number evolution in chromosomally unstable tumors. Significance: Complex genomic gains are associated with whole-genome duplications, which are frequent across tumors, span a large fraction of their genomes, and are linked to poorer outcomes. GRITIC infers when these gains occur during tumor development, which will help to identify the genetic events that drive tumor evolution. See related commentary by Taylor, p. 1766

A genetic model for central chondrosarcoma evolution correlates with patient outcome

Background Central conventional chondrosarcoma (CS) is the most common subtype of primary malignant bone tumour in adults. Treatment options are usually limited to surgery, and prognosis is challenging. These tumours are characterised by the presence and absence of IDH1 and IDH2 mutations, and recently, TERT promoter alterations have been reported in around 20% of cases. The effect of these mutations on clinical outcome remains unclear. The purpose of this study was to determine if prognostic accuracy can be improved by the addition of genomic data, and specifically by examination of IDH1, IDH2, and TERT mutations. Methods In this study, we combined both archival samples and data sourced from the Genomics England 100,000 Genomes Project (n = 356). Mutations in IDH1, IDH2, and TERT were profiled using digital droplet PCR (n = 346), whole genome sequencing (n=68), or both (n = 64). Complex events and other genetic features were also examined, along with methylation array data (n = 84). We correlated clinical features and patient outcomes with our genetic findings. Results IDH2-mutant tumours occur in older patients and commonly present with high-grade or dedifferentiated disease. Notably, TERT mutations occur most frequently in IDH2-mutant tumours, although have no effect on survival in this group. In contrast, TERT mutations are rarer in IDH1-mutant tumours, yet they are associated with a less favourable outcome in this group. We also found that methylation profiles distinguish IDH1- from IDH2-mutant tumours. IDH wild-type tumours rarely exhibit TERT mutations and tend to be diagnosed in a younger population than those with tumours harbouring IDH1 and IDH2 mutations. A major genetic feature of this group is haploidisation and subsequent genome doubling. These tumours evolve less frequently to dedifferentiated disease and therefore constitute a lower risk group. Conclusions Tumours with IDH1 or IDH2 mutations or those that are IDHwt have significantly different genetic pathways and outcomes in relation to TERT mutation. Diagnostic testing for IDH1, IDH2, and TERT mutations could therefore help to guide clinical monitoring and prognostication

Cancer Origin Tracing and Timing in Two High-Risk Prostate Cancers Using Multisample Whole Genome Analysis: Prospects for Personalized Medicine

BACKGROUND: Prostate cancer (PrCa) genomic heterogeneity causes resistance to therapies such as androgen deprivation. Such heterogeneity can be deciphered in the context of evolutionary principles, but current clinical trials do not include evolution as an essential feature. Whether or not analysis of genomic data in an evolutionary context in primary prostate cancer can provide unique added value in the research and clinical domains remains an open question. METHODS: We used novel processing techniques to obtain whole genome data together with 3D anatomic and histomorphologic analysis in two men (GP5 and GP12) with high-risk PrCa undergoing radical prostatectomy. A total of 22 whole genome-sequenced sites (16 primary cancer foci and 6 lymph node metastatic) were analyzed using evolutionary reconstruction tools and spatio-evolutionary models. Probability models were used to trace spatial and chronological origins of the primary tumor and metastases, chart their genetic drivers, and distinguish metastatic and non-metastatic subclones. RESULTS: In patient GP5, CDK12 inactivation was among the first mutations, leading to a PrCa tandem duplicator phenotype and initiating the cancer around age 50, followed by rapid cancer evolution after age 57, and metastasis around age 59, 5 years prior to prostatectomy. In patient GP12, accelerated cancer progression was detected after age 54, and metastasis occurred around age 56, 3 years prior to prostatectomy. Multiple metastasis-originating events were identified in each patient and tracked anatomically. Metastasis from prostate to lymph nodes occurred strictly ipsilaterally in all 12 detected events. In this pilot, metastatic subclone content analysis appears to substantially enhance the identification of key drivers. Evolutionary analysis\u27 potential impact on therapy selection appears positive in these pilot cases. CONCLUSIONS: PrCa evolutionary analysis allows tracking of anatomic site of origin, timing of cancer origin and spread, and distinction of metastatic-capable from non-metastatic subclones. This enables better identification of actionable targets for therapy. If extended to larger cohorts, it appears likely that similar analyses could add substantial biological insight and clinically relevant value

Evolution of Chromosome-Arm Aberrations in Breast Cancer Through Genetic Network Rewiring

The basal breast cancer subtype is enriched for triple-negative breast cancer (TNBC) and displays consistent large chromosomal deletions. Here, we characterize evolution and maintenance of chromosome 4p (chr4p) loss in basal breast cancer. Analysis of The Cancer Genome Atlas data shows recurrent deletion of chr4p in basal breast cancer. Phylogenetic analysis of a panel of 23 primary tumor/patient-derived xenograft basal breast cancers reveals early evolution of chr4p deletion. Mechanistically we show that chr4p loss is associated with enhanced proliferation. Gene function studies identify an unknown gene, C4orf19, within chr4p, which suppresses proliferation when overexpressed-a member of the PDCD10-GCKIII kinase module we name PGCKA1. Genome-wide pooled overexpression screens using a barcoded library of human open reading frames identify chromosomal regions, including chr4p, that suppress proliferation when overexpressed in a context-dependent manner, implicating network interactions. Together, these results shed light on the early emergence of complex aneuploid karyotypes involving chr4p and adaptive landscapes shaping breast cancer genomes

Spatiotemporal Genomic Profiling of Intestinal Metaplasia Reveals Clonal Dynamics of Gastric Cancer Progression

Intestinal metaplasia (IM) is a pre-malignant condition of the gastric mucosa associated with increased gastric cancer (GC) risk. Analyzing 1,256 gastric samples (1,152 IMs) across 692 subjects from a prospective 10-year study, we identify 26 IM driver genes in diverse pathways including chromatin regulation (ARID1A) and intestinal homeostasis (SOX9). Single-cell and spatial profiles highlight changes in tissue ecology and IM lineage heterogeneity, including an intestinal stem-cell dominant cellular compartment linked to early malignancy. Expanded transcriptome profiling reveals expression-based molecular subtypes of IM associated with incomplete histology, antral/intestinal cell types, ARID1A mutations, inflammation, and microbial communities normally associated with the healthy oral tract. We demonstrate that combined clinical-genomic models outperform clinical-only models in predicting IMs likely to transform to GC. By highlighting strategies for accurately identifying IM patients at high GC risk and a role for microbial dysbiosis in IM progression, our results raise opportunities for GC precision prevention and interception

Remodelage génomique des sarcomes pléomorphes : caractérisation transcriptomique et agressivité tumorale

Pleomorphic sarcomas are rare mesenchymal tumors characterized by many chromosomal rearrangements. Their oncogenic process is still poorly understood, no recurrent and specific genetic alteration able to drive the tumor initiation has been identified yet. The work I did during my thesis had the objective to better understand the biology of these tumors, focusing on transcriptomic consequences of their genomic remodeling.We characterized fusion transcripts in these tumors by high-throughput sequencing (RNA-seq). This led us to identify the expression of several chimeric transcripts involving TRIO (5.1% of cases). Moreover, this analysis and the identification of expressed variants allowed us to identify frequent mutations of tumor suppressor genes such as ATRX (16% of cases) and more generally members of the SWI/SNF complex (47% of cases). Alterations of this major complex of chromatin remodeling are associated with higher genetic instability and more aggressive phenotype.In pleomorphic sarcomas, genetic instability is linked to tumor progression through the expression of a prognostic transcriptomic signature. This signature, termed CINSARC, is involved in mitosis control and chromosome segregation pathways. We wanted to determine the origin of such expression by integrating genomics and epigenetics, transcriptional and post-transcriptional regulation mechanisms. Though these mechanisms do not seem to directly regulate CINSARC expression, important changes have been highlighted. From a clinical standpoint, we demonstrated that the signature expression is a global prognostic factor of tumor aggressiveness in numerous cancer types. In addition, CINSARC is a better prognostic marker than the FNCLCC grading system, the current international standard to evaluate the metastatic risk in soft tissue sarcomas. We consequently developed a method allowing a daily clinical application of the CINSARC signature to improve the therapeutic management of these tumors.Les sarcomes pléomorphes sont des tumeurs mésenchymateuses rares caractérisées par de nombreux remaniements chromosomiques. Leur processus d’oncogenèse reste encore mal compris, aucune altération génétique motrice de l’initiation tumorale n’a pu être identifiée de façon récurrente et spécifique à ce jour. Les travaux que j’ai réalisés durant ma thèse avaient pour but de mieux comprendre la biologie de ces tumeurs, notamment les conséquences transcriptomiques de leur remodelage génomique.Nous avons caractérisé les transcrits de fusion exprimés dans ces tumeurs par séquençage haut-débit (RNA-seq). Ceci nous a amené à identifier l’expression de plusieurs transcrits chimériques impliquant le gène TRIO (5,1% des tumeurs). De plus, cette analyse ainsi que l’identification de variants exprimés nous ont permis d’identifier de fréquentes mutations de gènes suppresseurs de tumeurs tels qu’ATRX (16% des tumeurs) et plus généralement des membres du complexe SWI/SNF (47% des tumeurs). Les altérations de ce complexe majeur de remodelage de la chromatine sont associées à une plus grande instabilité génétique et à un phénotype plus agressif.Dans les sarcomes pléomorphes, l’instabilité génétique est liée à la progression tumorale via l’expression d’une signature transcriptomique pronostique. Cette signature, nommée CINSARC, est impliquée dans le contrôle de la mitose et de la ségrégation chromosomique. Nous avons voulu déterminer l’origine de cette expression via une étude intégrant la génomique et des mécanismes de régulation épigénétique, transcriptionnelle et post-transcriptionnelle. Si ces mécanismes ne semblent pas directement causals de l’expression de CINSARC, d’importantes modifications ont pu être mises en évidences. D’un point de vue clinique, nous avons démontré que l’expression de cette signature est un facteur pronostique universel de l’agressivité tumorale dans de nombreux types de cancers. De plus, CINSARC est un meilleur marqueur pronostique que le grade FNCLCC, actuel standard international d’évaluation du risque métastatique des sarcomes des tissus mous. Nous avons ainsi développé une méthode permettant une application clinique routinière de la signature CINSARC afin d’améliorer la prise en charge thérapeutique de ces tumeurs

Genomic remodeling of pleomorphic sarcomas : transcriptomic characterization and tumor aggressiveness

Les sarcomes pléomorphes sont des tumeurs mésenchymateuses rares caractérisées par de nombreux remaniements chromosomiques. Leur processus d’oncogenèse reste encore mal compris, aucune altération génétique motrice de l’initiation tumorale n’a pu être identifiée de façon récurrente et spécifique à ce jour. Les travaux que j’ai réalisés durant ma thèse avaient pour but de mieux comprendre la biologie de ces tumeurs, notamment les conséquences transcriptomiques de leur remodelage génomique.Nous avons caractérisé les transcrits de fusion exprimés dans ces tumeurs par séquençage haut-débit (RNA-seq). Ceci nous a amené à identifier l’expression de plusieurs transcrits chimériques impliquant le gène TRIO (5,1% des tumeurs). De plus, cette analyse ainsi que l’identification de variants exprimés nous ont permis d’identifier de fréquentes mutations de gènes suppresseurs de tumeurs tels qu’ATRX (16% des tumeurs) et plus généralement des membres du complexe SWI/SNF (47% des tumeurs). Les altérations de ce complexe majeur de remodelage de la chromatine sont associées à une plus grande instabilité génétique et à un phénotype plus agressif.Dans les sarcomes pléomorphes, l’instabilité génétique est liée à la progression tumorale via l’expression d’une signature transcriptomique pronostique. Cette signature, nommée CINSARC, est impliquée dans le contrôle de la mitose et de la ségrégation chromosomique. Nous avons voulu déterminer l’origine de cette expression via une étude intégrant la génomique et des mécanismes de régulation épigénétique, transcriptionnelle et post-transcriptionnelle. Si ces mécanismes ne semblent pas directement causals de l’expression de CINSARC, d’importantes modifications ont pu être mises en évidences. D’un point de vue clinique, nous avons démontré que l’expression de cette signature est un facteur pronostique universel de l’agressivité tumorale dans de nombreux types de cancers. De plus, CINSARC est un meilleur marqueur pronostique que le grade FNCLCC, actuel standard international d’évaluation du risque métastatique des sarcomes des tissus mous. Nous avons ainsi développé une méthode permettant une application clinique routinière de la signature CINSARC afin d’améliorer la prise en charge thérapeutique de ces tumeurs.Pleomorphic sarcomas are rare mesenchymal tumors characterized by many chromosomal rearrangements. Their oncogenic process is still poorly understood, no recurrent and specific genetic alteration able to drive the tumor initiation has been identified yet. The work I did during my thesis had the objective to better understand the biology of these tumors, focusing on transcriptomic consequences of their genomic remodeling.We characterized fusion transcripts in these tumors by high-throughput sequencing (RNA-seq). This led us to identify the expression of several chimeric transcripts involving TRIO (5.1% of cases). Moreover, this analysis and the identification of expressed variants allowed us to identify frequent mutations of tumor suppressor genes such as ATRX (16% of cases) and more generally members of the SWI/SNF complex (47% of cases). Alterations of this major complex of chromatin remodeling are associated with higher genetic instability and more aggressive phenotype.In pleomorphic sarcomas, genetic instability is linked to tumor progression through the expression of a prognostic transcriptomic signature. This signature, termed CINSARC, is involved in mitosis control and chromosome segregation pathways. We wanted to determine the origin of such expression by integrating genomics and epigenetics, transcriptional and post-transcriptional regulation mechanisms. Though these mechanisms do not seem to directly regulate CINSARC expression, important changes have been highlighted. From a clinical standpoint, we demonstrated that the signature expression is a global prognostic factor of tumor aggressiveness in numerous cancer types. In addition, CINSARC is a better prognostic marker than the FNCLCC grading system, the current international standard to evaluate the metastatic risk in soft tissue sarcomas. We consequently developed a method allowing a daily clinical application of the CINSARC signature to improve the therapeutic management of these tumors