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Detours, V.

Publications and source records attributed to Detours, V..

11 recordsLinked to original sources

Parent-of-origin phasing of somatic mutations shows equal mutation burden between parental genomes in human cancers

Somatic mutations accumulate independently in the two parental genome copies of our cells throughout life and shape cancer evolution. Although local mutation rates are influenced by allele-specific features such as DNA sequence, epigenetic marks, and chromatin structure, whether these translate into genome-wide differences in mutation accrual between the two parental copies is unknown. Cancer genomics analyses, including copy-number gain timing and molecular archaeology, assume that mutations accrue symmetrically on the two homologous parental genomes, yet this assumption has never been tested. Here we present PhaSoMix, a framework exploiting the genetic differentiation between parental haplotypes in admixed cancer patients to assign somatic mutations to their parent of origin without parent or parent-surrogate sequencing. Applying it with explicit modeling and propagation of phasing and ancestry-inference uncertainty across 21 tumor whole genomes from the Pan-Cancer Analysis of Whole Genomes cohort, we find mutation burdens highly symmetric between maternal and paternal genomes, across cancer types, genomic annotations, clonal timing categories, and mutational processes including clock-like CpG sites, bounding any asymmetry to within 4-5%. Simulations show that violations would substantially bias gain-timing estimates in late evolutionary windows. This provides the first quantification of parental mutation-burden symmetry in vivo, validating a key assumption of cancer evolutionary analyses.

genomics↗

An atlas of human histological diversity

Descriptions of tissues by histopathologists rest on verbal statements limited by quantitative inaccuracies and personal cognitive biases. Here we propose an unsupervised computational framework that transposes to histology the concepts and methods of RNA-seq gene expression analysis, setting histology on an unbiased quantitative ground. Leveraging this framework and the GTEx dataset, we built an atlas surveying the histological diversity of 40 organs from 946 non-diseased individuals and documenting 11,125,747 associations between 2,560 morphemes--the histological analogs of genes in our framework--and 9 layers of patho-clinical and multi-omic molecular data, providing a rich context to interpret histology. In contrast with the ideally healthy normal specimens depicted in histology textbooks, the atlas reveals the influence of age, sex, genetics and sub-clinical pathologies on tissue structures. For example, we report that female eccrine sweat glands are surrounded by more adipocytes than their male counterparts, and that distinct calcification-associated aorta morphemes are driven by either smoking or genetic polymorphisms. Cross-organ analyses also delineate the systemic histological impact of diabetes and other conditions and establish the power of blood gene expression to predict disease-related morphemes. The atlas is released as an interactive web resource aimed at researchers.

pathology↗

Prediction of Gemcitabine sensitivity in resectable Pancreatic Cancer using a Glycation Stress Transcriptomic Signature

BACKGROUND & AIMSPancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer with limited response to systemic therapy. Gemcitabine (GEM) benefits only a subset of patients. Methylglyoxal (MG), a glycolysis byproduct, has been linked to tumor behavior and therapy response in PDAC, suggesting potential as a stratification marker. METHODSWe developed a metabolically informed gene signature (MG-GEM) integrating MG- related glycolytic stress with clinical outcomes. Using the Puleo cohort (n=309), differential expression analysis between tumors with high and low MG stress identified 365 genes. LASSO Cox regression selected 16 prognostic genes, combined into a weighted risk score for patient stratification. MG GEM was validated in internal and external cohorts, including PRODIGE 24/CCTG PA6. Molecular, transcriptomic, and immune features were compared between high and low MG GEM groups. Finally, predictive performance was evaluated against the GemPred signature. RESULTSMG GEM divided PDAC patients into distinct risk groups with marked differences in overall and disease-free survival among GEM treated patients (OS 11.7 vs 27.2 months; DFS 7.6 vs 17.8 months, both p<0.0001). High MG-GEM tumors showed enrichment for KRAS G12D and SMAD4 mutations, basal and activated stroma subtypes, glycolytic metabolism, and reduced immune infiltration. Low MG-GEM tumors showed KRAS G12V, classical and immune subtypes, cholesterogenic metabolism, and adaptive immune favourable signatures. MG-GEM independently predicted GEM-specific clinical outcomes, irrespective of GemPred signature, and significantly enhanced patient stratification when combined with it. Within the PRODIGE-24/TGCC PA6 cohort, MG-GEM exhibited prognostic relevance and selectively identified patients who derived a survival benefit from adjuvant GEM, but not from FOLFIRINOX. CONCLUSIONSThe 16 gene MG GEM signature predicts prognosis in resected PDAC, reflects glycolytic stress driven chemoresistance, surpassing conventional molecular classifications. As a metabolically informed signature, MG-GEM holds promise for guiding chemotherapy selection and informing KRAS-targeted combination strategies, meriting further prospective clinical validation.

cancer biology↗

Favorable histo-molecular remodeling of pancreatic ductal adenocarcinoma after Total Neoadjuvant Therapy including Stereotactic Body Radiotherapy

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest tumors with slow progress in systemic therapies due to its peculiar and resistant tumor microenvironment. Inclusion of isotoxic high-dose stereotactic body radiation therapy (iHD-SBRT) into a total neoadjuvant strategy (TNT) is promising for the treatment of localized PDAC. However, the histo-molecular effects of iHD-SBRT are still poorly explored. In this study, we have shown that TNT, associating FOLFIRINOX [FFX] followed by iHD-SBRT, leads to significant and long-lasting remodeling of PDAC, affecting its stromal, metabolic, and molecular features. Contrary to FFX alone, TNT is able to enrich tumors with Classical and Inactive stromal signatures associated with better prognosis. Furthermore, iHD-SBRT seems capable to counteract several of the detrimental modulatory effects induced by FFX such as Epithelial-to-Mesenchymal Transition or angiogenesis. Additionally, we identified inflammatory cancer-associated fibroblasts signatures as an important prognostic factor. This work provides new rationale to sequentially combine FFX with iHD-SBRT and suggests new pathways that can be targeted in combination with a TNT. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/591890v1_ufig1.gif" ALT="Figure 1"> View larger version (80K): org.highwire.dtl.DTLVardef@155da78org.highwire.dtl.DTLVardef@17a1ab7org.highwire.dtl.DTLVardef@16fe522org.highwire.dtl.DTLVardef@12c5870_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Single nuclei and spatial transcriptomes suggest a stratification of papillary and anaplastic thyroid cancer cells

Sixty percent of papillary thyroid cancers (PTCs) are driven by BRAFV600E, a mutation associated with high inter- and intra-tumoral heterogeneity. PTCs may become highly aggressive anaplastic thyroid cancers (ATC). While single cell transcriptomics may resolve this heterogeneity, it is potentially confounded by technical effects whose correction may dampen inter-tumor variations. Here we profiled ATCs and BRAFV600E PTCs with single nuclei RNA-seq and spatial transcriptomics, and an experimental design disentangling biological and technical variations. It reveals that much transcriptional variation in cancer cells and several immune cell types is idiosyncratic, i.e. tumor-specific, a phenomenon obscured by batch integration in a number of single cell studies. Idiosyncrasies are associated in some cases with genomic aberrations and global tissue states like hypoxia. Beyond idiosyncrasies, differentiation markers SLC5A5 (NIS), TPO, TG and TSHR are lost in a sequence mirrored by their gain during human thyroid organoids maturation, suggesting a new classification of cancer cell states. PTC cells retain TSHR expression and show features of partial EMT with a massive expression of FN1, which promotes proliferation via an autocrine loop. In contrast, ATCs undergo full blown EMT, with expression of mesenchymal extracellular components and loss of TSHR. Finally, we show that the microenvironment of cancer cells is driven by inflammation. These findings may help future stratifications of BRAFV600E PTCs.

cancer biology↗

Modeling Braf-induced thyroid cancer development and drug screening using pluripotent stem cell-derived organoids

Thyroid cancer is the most common endocrine malignancy and several genetic events have been described to promote the development of thyroid carcinogenesis. Besides the effects of specific mutations on thyroid cancer development, the molecular mechanisms controlling tumorigenesis, tumor behavior, and drug resistance are still largely unknown. Cancer organoids have been proposed as a powerful tool to study aspects related to tumor development and progression and appear promising to test individual responses to therapies. Here, using mESC-derived thyroid organoids, we developed a BrafV637E- inducible model able to recapitulate the features of papillary thyroid cancer in vitro. Overexpression of the murine BrafV637E mutation, equivalent to BrafV600E in humans, rapidly triggers to MAPK activation, cell dedifferentiation, and disruption of follicular organization. BrafV637E-expressing organoids show a transcriptomic signature for p53, focal adhesion, ECM-receptor interactions, EMT, and inflammatory signaling pathways. Finally, PTC-like thyroid organoids were used for drug screening assays. The combination of MAPK and PI3K inhibitors reversed BrafV637E oncogene-promoted cell dedifferentiation while restoring thyroid follicle organization and function in vitro. Our results demonstrate that pluripotent stem cells-derived thyroid cancer organoids can mimic tumor development and features while providing an efficient tool for testing novel targeted therapies.

cancer biology↗

Transplantable human thyroid organoids generated from embryonic stem cells to rescue hypothyroidism

The thyroid gland captures iodide in order to synthesize hormones that act on almost all tissues and are essential for normal growth and metabolism. Low plasma levels of thyroid hormones lead to hypothyroidism, which is one of the most common disorder in humans and is not always satisfactorily treated by lifelong hormone replacement. Therefore, in addition to the lack of in vitro tractable models to study human thyroid development, differentiation and maturation, functional human thyroid organoids could pave the way to explore new therapeutic approaches. Here we report the first transplantable thyroid organoids derived from human embryonic stem cells capable of restoring plasma thyroid hormone to athyreotic mice as a proof of concept for future therapeutic development.

developmental biology↗

Single-cell transcriptome analysis reveals cell-cell communication and thyrocyte diversity in the zebrafish thyroid gland

The thyroid gland regulates growth and metabolism via production of thyroid hormone in follicles composed of thyrocytes. So far, thyrocytes have been assumed to be a homogenous population. To uncover genetic heterogeneity in the thyrocyte population, and molecularly characterize the non-thyrocyte cells surrounding the follicle, we developed a single-cell transcriptome atlas of the zebrafish thyroid gland. The 6249-cell atlas includes profiles of thyrocytes, blood vessels, lymphatic vessels, immune cells and fibroblasts. Further, the thyrocytes could be split into two sub-populations with unique transcriptional signature, including differential expression of the transcription factor pax2a. To validate thyrocyte heterogeneity, we generated a CRISPR/Cas9-based pax2a knock-in line, which demonstrated specific pax2a expression in the thyrocytes. However, a population of pax2a-low mature thyrocytes interspersed within individual follicles could be distinguished, corroborating heterogeneity within the thyrocyte population. Our results identify and validate transcriptional differences within the nominally homogenous thyrocyte population. One-line summarySingle-cell analysis uncovers latent heterogeneity in thyroid follicular cells. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=74 SRC="FIGDIR/small/891630v2_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@f6df3org.highwire.dtl.DTLVardef@fb8c59org.highwire.dtl.DTLVardef@bb5be1org.highwire.dtl.DTLVardef@8d174e_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Transcriptional output, cell types densities and normalization in spatial transcriptomics

Spatial transcriptomics measures mRNA at hundreds of 100 micrometer-diameter spots evenly spread across 6.5x6.9 mm2 histological slices. Gene expression within each spot is commonly normalized by total read counts. However we show that the transcriptional output of individual spots reflects the number of cells they contain, hence total read counts per spot reflect relevant biology. Although per-spot read-count normalization reveals important enrichment trends, it may heavily distort cell-type-related absolute local expression and conceal important biological information.

genomics↗

Hominin-specific NOTCH2 paralogs expand human cortical neurogenesis through regulation of Delta/Notch interactions.

The human cerebral cortex has undergone rapid expansion and increased complexity during recent evolution. Hominid-specific gene duplications represent a major driving force of evolution, but their impact on human brain evolution remains unclear. Using tailored RNA sequencing (RNAseq), we profiled the spatial and temporal expression of Hominid-specific duplicated (HS) genes in the human fetal cortex, leading to the identification of a repertoire of 36 HS genes displaying robust and dynamic patterns during cortical neurogenesis. Among these we focused on NOTCH2NL, previously uncharacterized HS paralogs of NOTCH2. NOTCH2NL promote the clonal expansion of human cortical progenitors by increasing self-renewal, ultimately leading to higher neuronal output. NOTCH2NL function by activating the Notch pathway, through inhibition of Delta/Notch interactions. Our study uncovers a large repertoire of recently evolved genes linking genomic evolution to human brain development, and reveals how hominin-specific NOTCH paralogs may have contributed to the expansion of the human cortex.

developmental biology↗

Distinctive desmoplastic 3D morphology associated with BRAFV600E in papillary thyroid cancers

Textbooks suggest that cancers are compact balls with an inner core and an invasive front in contact with non-cancerous cells, and that tumor growth is driven by tumor cell proliferation subsequent to oncogenic genome mutations. We reconstructed at histological scale the 3D volume occupied by tumor cells in two regions of a BRAFV600E-mutated papillary thyroid carcinoma (PTC) with low tumor purity, as determined by sequencing, but initially considered high purity during pathology review. In contrast with a compact ball, tumor cells formed a sparse mesh deeply embedded within the stroma. The concepts of inner core and invasive front broke down in this morphology: all tumor cells were within short distance from the stroma. The fibrous stroma was highly cellular and proliferative, a result confirmed in an independent series. This case was not unique: 3.5% of The Cancer Genome Atlas PTCs had purities <25%, 27% were below the 60% purity inclusion criterion. Moreover, the presence of BRAFV600E was associated with extensive fibrosis, high stromal activation, and dedifferentiation. Thus, non-tumor cells make most of the tumor mass and contribute to its expansion in a significant fraction of BRAFV600E PTCs. Therapeutics targeting the tumor-stroma crosstalk could be beneficial in this context.

cancer biology↗