Biology subjects

Jansen, R.

Publications and source records attributed to Jansen, R..

At least 19 recordsLinked to original sources

bioRxiv2026

Coordinated Evolutionary Rates in Oxidative Phosphorylation Complexes of Papilionoid Legumes: Cytonuclear Coevolution and Relaxed Selection

Across eukaryotes, mitochondrial (mt) and nuclear genomes coordinate the expression and interaction of gene products to maintain cellular functions. While mitonuclear coevolution has been widely explored in animals, it remains understudied in plants, despite their utility as model systems due to relatively slow mitochondrial evolutionary rates and the presence of plastids. Plants rely on oxidative phosphorylation (OXPHOS) for ATP conversion, which requires cofunctionality and likely coevolution of mitochondrial and nuclear gene products. Here, we investigated evolutionary rate covariation (ERC) between mitochondrial- and nuclear-encoded OXPHOS genes in papilionoid legumes, where plastid-nuclear coevolution and an inversion in plastid DNA have been documented previously. Using 50 legume species spanning 15 papilionoid clades, we estimated evolutionary rates for five gene sets: mt-encoded OXPHOS genes, nuclear-encoded mitochondrial-targeted (N-mt) OXPHOS genes, and three control nuclear gene sets that lack mitochondrial interactions (glycolysis, cell cycle, and cytosolic ribosomal genes). Both mt and N-mt OXPHOS genes exhibited significantly elevated nonsynonymous (dN) and synonymous substitution rates (dS) in the 50-kb inversion clade relative to other legumes, suggesting accelerated mitochondrial substitution rates. Moreover, elevated dN/dS ratios in mt and N-mt OXPHOS genes in this clade were driven by relaxed purifying, not intensified positive selection. ERCs were highest for OXPHOS complexes and genes with physical mitonuclear interactions, as predicted under mitonuclear coevolution. We discuss how these results compare to other cases of cytonuclear coevolution in plants, including plastid-nuclear coevolution in papilionoids, and why dual-targeted, nuclear-encoded genes that repair mt and plastid DNA may underly patterns of molecular evolution in both organelles. Significance StatementMitonuclear interactions are essential for cellular energy production, yet the evolutionary dynamics of these interactions remain poorly understood in plants. This study highlights papilionoid legumes as an important system for understanding how coordinated evolution between mitochondrial and nuclear genes shapes plant genomes. By identifying signatures of mitonuclear coevolution in the 50-kb inversion clade, this work demonstrates how shifts in selective pressures on mitochondrial processes can influence nuclear gene evolution. These findings advance our understanding of cytonuclear coordination in plants and provide a foundation for future studies exploring how interactions among genomic compartments contribute to plant evolution, adaptation, and resilience in agriculturally important lineages.

evolutionary biology↗

bioRxiv2026

Structure Elucidation, Biosynthesis and Biological Evaluation of Neosorangicin A, a Member of the Sorangicin Family

Antimicrobial resistance represents an escalating global health crisis, with drug-resistant infections predicted to cause up to 10 million deaths annually by 2050, underscoring the urgent need for novel antibiotics. Natural products play a crucial role in the discovery and development of antibiotics, with myxobacteria emerging as a particularly promising source due to their ability to produce structurally diverse and bioactive compounds. One prominent example of antibiotics from myxobacteria are the sorangicins, potent inhibitors of the bacterial RNA polymerase (RNAP). Here, we report the isolation of two unprecedented compounds, neosorangicin A (1) and neosorangioside A (2), from Sorangium cellulosum strain Soce439, elucidated their molecular structures, thereby revealing significant structural variation in comparison to sorangicin, and describe their biosynthetic pathway. Neosorangicin A (1) exhibited strong activity against various Gram-positive bacteria, with enhanced potency on intracellular Staphylococcus aureus. In a murine wound infection model, a head-to-head comparison of neosorangicin A (1) and sorangicin A (3) provided useful insights into how the altered physicochemical properties, arising from the shortened side chain and the lack of the free carboxylic acid of neosorangicin A, influence the in vivo efficacy of sorangicin derivatives.

microbiology↗

bioRxiv2025

Cell-Based Immunization Combined with Single-Round Cell Panning Enables Discovery of PSMA-Targeting Nanobodies from Phage Display Libraries

There is a strong need for nanobodies targeting novel cancer-associated antigens to advance radioligand imaging and antibody-based therapeutics. In this study, we investigated whether non-targeted Llama immunization using tumor cells, combined with non-targeted phage display panning on human cell lines, could yield nanobodies specific to Prostate Specific Membrane Antigen (PSMA). Nanobody selection using both classical three round PSMA negative-positive panning and single round panning of cell lines positive or negative for PSMA showed clear enrichment for PSMA binders in both strategies. Using shRNA knockdown, flow cytometry, cell-ELISA, immunohistochemistry and structural modeling and docking, we confirmed the PSMA targeting of selected nanobodies. Two distinct epitopes were predicted to be bound by nanobodies PSMANb9 and A7 (JVZ-007), corroborated by epitope competition assays. These findings support the feasibility of non-targeted immunization and panning strategies for isolating clinically relevant cancer nanobodies.

cancer biology↗

bioRxiv2025

AlphaMissense pathogenicity scores predict response to immunotherapy and enhances the predictive capability of tumor mutation burden

Tumor Mutational Burden (TMB) is a widely used biomarker for selecting cancer patients for immune checkpoint inhibitor (ICI) therapy. However, TMB alone has limited predictive power, as it fails to account for the functional impact of mutations. We introduce AlphaTMB, a composite biomarker that integrates the quantity of mutations (TMB) with the qualitative assessment of their pathogenicity using AlphaMissense, a deep learning model that predicts the deleteriousness of missense variants. Using a pan-cancer cohort of 1,662 patients from the MSK-IMPACT study who received ICI therapy, we computed three scores per patient: TMB, Alpha (sum of AlphaMissense scores), and AlphaTMB (product of TMB and Alpha). Patients were stratified using both cancer-specific and pan-cancer quantiles. Survival outcomes were evaluated using Kaplan-Meier and multivariate Cox proportional hazards models, controlling for cancer type, age, and ICI regimen. AlphaTMB showed strong correlation with TMB (Spearman {rho} = 0.866, p < 0.001), but offered improved prognostic accuracy. Patients in the bottom 80% AlphaTMB group had significantly poorer survival than those in the top 10% (HR < 2.51, p < 0.001), outperforming TMB and Alpha alone. AlphaTMB reclassified borderline cases, identifying subsets with low TMB but high deleterious mutation load, and vice versa. Gene mutation heatmaps and co-occurrence analysis confirmed that to 10% AlphaTMB-high tumors were enriched in mismatch repair and POLE mutations, reflecting a neoantigen-rich, immunotherapy-responsive phenotype. AlphaTMB improves survival prediction beyond TMB alone, better captures immunogenic tumor profiles, and reflects more accurate patient stratification. This AI derived somatic mutations pathogenicity scoring represents a step toward personalized immuno-oncology and merits further validation in prospective studies.

bioinformatics↗

bioRxiv2025

PDS5 proteins control genome architecture by limiting the lifetime of cohesin-NIPBL complexes

Cohesin-NIPBL complexes extrude genomic DNA into loops that are constrained by CTCF boundaries. This process has important regulatory functions and weakens the separation between euchromatic and heterochromatic compartments. Cohesin can also bind PDS5A or PDS5B, which do not support loop extrusion but are required for the formation of CTCF boundaries. How PDS5 proteins perform this function is unknown. Here we show by in vitro single-molecule imaging that PDS5 proteins stop loop extrusion by facilitating the dissociation of NIPBL from cohesin. Hi-C experiments suggest that this function is required for the establishment of CTCF boundaries in cells. In silico modelling indicates that PDS5 proteins enable the separation between compartments by limiting cohesins velocity and chromatin-residence time. The degree of this compartmentalization depends on the frequency with which chromatin is extruded relative to the time it takes for compartments to form. These results identify PDS5 proteins as key regulators of genome organization. HighlightsO_LIPDS5 proteins stop loop extrusion by facilitating dissociation of NIPBL from cohesin. C_LIO_LIPDS5 proteins strengthen CTCF boundaries by limiting the lifetime of cohesin-NIPBL. C_LIO_LIPDS5 proteins regulate compartmentalization. C_LIO_LICompartmentalization is governed by polymer relaxation and loop extrusion dynamics. C_LI

molecular biology↗

bioRxiv2025

Identifying Key Hub Genes that Attribute Varying Host Responses: A Longitudinal RNA-seq Analysis of SARS-CoV-2 Delta and Omicron Infections.

Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has severely impacted global health, with different Variants of Concern (VOCs) resulting in varied clinical outcomes. Among these, the Delta and Omicron variants have drawn significant attention due to their distinct characteristics--Delta is associated with higher virulence and Omicron has greater transmissibility but reduced severity. This study compares host immune responses to the Delta and Omicron variants using RNA-seq data from infected primary human airway epithelial cells. Both variants triggered a robust antiviral innate immune response by 2 days post-infection (dpi). However, Omicron was found to elicit a more rapid immune response, showing pathway enrichment at 1 dpi. In contrast, Delta displayed no immune-related pathway activation within the first 24 hours, suggesting it may evade early immune detection, promoting increased viral replication. By 3 dpi, Delta induced a more aggressive immune response, particularly in pathways related to cell death and pro-inflammatory signaling, such as "programmed cell death" and "regulation of cell death." Weighted gene co-expression network analysis revealed distinct immune-related genes: Delta infections were characterized by hub genes like MYD88 and IL1R1 involved in pro-inflammatory responses, HLA-A & B, NLRC5 and PSMB9 involved in antigen presentation and TNSF10 and IFR1 involved in pro-apoptotic processes. Conversely, Omicron infections were marked by hub genes such as CXCL1 and CXCL8 involved in immune cells recruitment, MET and LYN involved in reducing hyperinflammatory responses and maintaining immune balance, and IFI44, EIF2AK2 and IFIT5 responsible for the sensing of viral RNA among others.

bioinformatics↗

bioRxiv2025

Amino acids bind to phase-separating proteins and modulate biomolecular condensate stability and dynamics

AbstractBiomolecular condensates (BCs) are versatile intracellular compartments that help organize intracellular space and perform diverse biological functions. In living cells, BCs are surrounded by a complex environment, of which amino acids (AAs) are prominent components. However, it is unclear how AAs interact with condensate components and influence the formation and material properties of condensates. Here, we show that phase separation is suppressed with increasing glycine concentration by using model heterotypic condensates made of nucleophosmin 1 (NPM1) and ribosomal ribonucleic acid (RNA): the condensate density is decreased and the dynamics inside the condensate are increased. We find that glycine weakly binds to amide groups in the protein backbone and aromatic groups in the side chains with a 1[~]2 M affinity, weakening the backbone-backbone interactions between neutral and charged disordered proteins while strengthening the interactions between aromatic stickers. This leads to different modulations of the phase behaviour in condensates formed by cation/{pi}-{pi} interactions and condensates formed by charge complexation. We further show that a similar modulation effect on BCs is observed for other proteinogenic AAs and can be transferred to short peptides. These insights offer a better understanding of BC stability, with implications for new strategies to modulate the dynamic properties of BCs in vivo.

biophysics↗

bioRxiv2024

Putting computational models of immunity to the test - an invited challenge to predict B. pertussis vaccination outcomes

Systems vaccinology studies have been used to build computational models that predict individual vaccine responses and identify the factors contributing to differences in outcome. Comparing such models is challenging due to variability in study designs. To address this, we established a community resource to compare models predicting B. pertussis booster responses and generate experimental data for the explicit purpose of model evaluation. We here describe our second computational prediction challenge using this resource, where we benchmarked 49 algorithms from 53 scientists. We found that the most successful models stood out in their handling of nonlinearities, reducing large feature sets to representative subsets, and advanced data preprocessing. In contrast, we found that models adopted from literature that were developed to predict vaccine antibody responses in other settings performed poorly, reinforcing the need for purpose-built models. Overall, this demonstrates the value of purpose-generated datasets for rigorous and open model evaluations to identify features that improve the reliability and applicability of computational models in vaccine response prediction.

immunology↗

bioRxiv2024

Spaceflight alters host-gut microbiota interactions

The rodent habitat on the International Space Station has provided crucial insights into the impact of spaceflight on mammals, including observation of symptoms characteristic of liver disease, insulin resistance, osteopenia and myopathy. Although these physiological responses can involve the microbiome when observed on Earth, changes in host-microbiota interactions during spaceflight are still being elucidated. Here, NASA GeneLab multiomic data from the Rodent Research 6 mission are used to determine changes to gut microbiota and murine host colon and liver gene expression after 29 and 56-days of spaceflight. Using hybrid amplicon and whole metagenome sequencing analysis, significant spaceflight-associated alterations to 42 microbiome species were identified. These included relative reductions of bacteria associated with bile acid and butyrate metabolism, such as Extibacter muris and Dysosmobacter welbionis. Functional prediction suggested over-representation of fatty acid and bile acid metabolism, extracellular matrix interactions, and antibiotic resistance genes within the gut microbiome, while host intestinal and hepatic gene expression described corresponding changes to host bile acid and energy metabolism, and immune suppression from spaceflight. Taken together, these changes imply that interactions at the host-gut microbiome interface contribute to spaceflight pathology and highlight how these interactions might critically influence human health and the feasibility of long-duration spaceflight.

genomics↗

bioRxiv2023

Tartrolon sensing and detoxification by the Listeria monocytogenes timABR resistance operon

AO_SCPLOWBSTRACTC_SCPLOWListeria monocytogenes is a foodborne bacterium that naturally occurs in the soil. Originating from there, it contaminates crops and infects farm animals and their consumption by humans may lead to listeriosis, a systemic life-threatening infectious disease. The adaptation of L. monocytogenes to such contrastive habitats is reflected by the presence of virulence genes for host infection and other genes for survival under environmental conditions. Among the latter are ABC transporters for excretion of antibiotics produced by environmental competitors, however, most of these transporters have not been characterized. Here, we generated a collection of promoter-lacZ fusions for genes encoding ABC-type drug transporters of L. monocytogenes and screened this reporter strain collection for induction using a library of natural compounds produced by various environmental microorganisms. We found that the timABR locus (lmo1964-lmo1962) was induced by the macrodiolide antibiotic tartrolon B, which is synthesized by the soil myxobacterium Sorangium cellulosum. Tartrolon B resistance of L. monocytogenes was dependent on timAB, encoding the ATPase and the permease component of a novel ABC transporter. Moreover, transplantation of timAB was sufficient to confer tartrolon B resistance to Bacillus subtilis. Expression of the timABR locus was found to be auto-repressed by the TimR repressor, whose repressing activity was lost in the presence of tartrolon B. We also demonstrate that tartrolon sensitivity was suppressed by high external potassium concentrations, suggesting that tartrolon acts as potassium ionophore. Our results help to map the ecological interactions of an important human pathogen with its co-residing species within their joint natural reservoir. IO_SCPLOWMPORTANCEC_SCPLOWListeria monocytogenes is an environmental bacterium that can cause listeriosis in humans when ingested. The genome of this bacterium contains many genes encoding putative ATP binding cassette transporters with unknown function. Presumably, these transporters serve the excretion of antimicrobial compounds produced by co-residing species competing with L. monocytogenes for nutrients and habitats. We here fused the lacZ reporter gene to the promoters of these transporter genes and screened a natural compound library for activating substances. We discovered that tartrolon B activates expression of the L. monocytogenes timABR operon, encoding the TimAB exporter and the TimR repressor. Tartrolon B is an antibiotic produced by the soil-dwelling myxobacterium Sorangium cellulosum. We elucidate how the timABR genes mediate sensing and detoxification of this antibiotic. This represents the first known mechanism of tartrolon resistance and may help to better define the natural reservoir of L. monocytogenes.

microbiology↗

bioRxiv2023

Paradoxical activation of oncogenic signaling as a cancer treatment strategy

Cancer homeostasis depends on a balance between activated oncogenic pathways driving tumorigenesis and engagement of stress-response programs that counteract the inherent toxicity of such aberrant signaling. While inhibition of oncogenic signaling pathways has been explored extensively, there is increasing evidence that overactivation of the same pathways can also disrupt cancer homeostasis and cause lethality. We show here that inhibition of Protein Phosphatase 2A (PP2A) hyperactivates multiple oncogenic pathways and engages stress responses in colon cancer cells. Genetic and compound screens identify combined inhibition of PP2A and WEE1 as synergistic in multiple cancer models by collapsing DNA replication and triggering premature mitosis followed by cell death. This combination also suppressed the growth of patient-derived tumors in vivo. Remarkably, acquired resistance to this drug combination suppressed the ability of colon cancer cells to form tumors in vivo. Our data suggest that paradoxical activation of oncogenic signaling can result in tumor suppressive resistance.

cancer biology↗

bioRxiv2023

Multimodal Data Integration Advances Longitudinal Prediction of the Naturalistic Course of Depression and Reveals a Multimodal Signature of Disease Chronicity

The ability to individually predict disease course of major depressive disorder (MDD) is essential for optimal treatment planning. Here, we use a data-driven machine learning approach to assess the predictive value of different sets of biological data (whole-blood proteomics, lipid-metabolomics, transcriptomics, genetics), both separately and added to clinical baseline variables, for the longitudinal prediction of 2-year MDD chronicity (defined as presence of MDD diagnosis after 2 years) at the individual subject level. Prediction models were trained and cross-validated in a sample of 643 patients with current MDD (2-year chronicity n = 318) and subsequently tested for performance in 161 MDD individuals (2-year chronicity n = 79). Proteomics data showed best unimodal data predictions (AUROC = 0.68). Adding proteomic to clinical data at baseline significantly improved 2-year MDD chronicity predictions (AUROC = 0.63 vs AUROC = 0.78, p = 0.013), while the addition of other -omics data to clinical data did not yield significantly increased model performance. SHAP and enrichment analysis revealed proteomic analytes involved in inflammatory response and lipid metabolism, with fibrinogen levels showing the highest variable importance, followed by symptom severity. Machine learning models outperformed psychiatrists ability to predict two-year chronicity (balanced accuracy = 71% vs 55%). This study showed the added predictive value of combining proteomic, but not other -omic data, with clinical data. Adding other -omic data to proteomics did not further improve predictions. Our results reveal a novel multimodal signature of MDD chronicity that shows clinical potential for individual MDD disease course predictions from baseline measurements.

genomics↗

bioRxiv2022

Plastid Genome Assembly Using Long-read Data (ptGAUL)

Although plastid genome (plastome) structure is highly conserved across most seed plants, investigations during the past two decades revealed several disparately related lineages that experienced substantial rearrangements. Most plastomes contain a large, inverted repeat and two single-copy regions and few dispersed repeats, however the plastomes of some taxa harbor long repeat sequences (>300 bp). These long repeats make it difficult to assemble complete plastomes using short-read data leading to misassemblies and consensus sequences that have spurious rearrangements. Single-molecule, long-read sequencing has the potential to overcome these challenges, yet there is no consensus on the most effective method for accurately assembling plastomes using long-read data. We generated a pipeline, plastid Genome Assembly Using Long-read data (ptGAUL), to address the problem of plastome assembly using long-read data from Oxford Nanopore Technologies (ONT) or Pacific Biosciences platforms. We demonstrated the efficacy of the ptGAUL pipeline using 16 published long-read datasets. We showed that ptGAUL produces accurate and unbiased assemblies. Additionally, we employed ptGAUL to assemble four new Juncus (Juncaceae) plastomes using ONT long reads. Our results revealed many long repeats and rearrangements in Juncus plastomes compared with basal lineages of Poales.

bioinformatics↗

bioRxiv2021

Hot days are associated with short-term adrenocortical responses in a Southern African arid-zone passerine bird.

Non-invasive methods for investigating the biological effects of environmental variables are invaluable for understanding potential impacts of climate change on behavioural and physiological stress responses of free-ranging animals. Foraging efficiency, body mass maintenance and breeding success are compromised in Southern pied babblers Turdoides bicolor exposed to air temperatures between ~35{degrees}C and ~40{degrees}C. We tested the hypothesis that these very hot days are acute stressors for free-ranging babblers by quantifying the relationship between daily maximum air temperature (Tmax) and faecal glucocorticoid metabolite (fGCM) levels. We collected naturally-excreted droppings from free-ranging pied babblers and analysed fGCM levels. Levels of fGCMs in droppings collected after 3pm were independent of same-day Tmax < 38 {degrees}C and averaged 140.25 ng g-1 Dry Weight {+/-} 56.92 ng g-1 DW (mean {+/-} SD) over this range. Above an inflection Tmax = 38 {degrees}C, however, fGCM levels increased linearly with same-day Tmax and averaged 190.79 ng g-1 DW {+/-} 70.13 ng g-1 DW. There was no relationship between Tmax on the previous day and fGCM levels in droppings collected the following morning. Group size, breeding stage, sex and rank did not predict variation in fGCM levels. These results suggest that very high Tmax may be linked to acute, but not chronic, heat stress responses. The fGCM levels we measured are likely to represent a biologically meaningful response to an environmental stressor (high Tmax), suggesting a physiological mechanism underlying observed changes in behaviour and reproductive success at high temperatures in this species.

physiology↗

bioRxiv2020

DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan

DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N=15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha=1.2x10-7; Bonferroni correction). In cord blood samples of 2,425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83% of these sites showed the same direction of association with childhood aggression (r=0.74, p=0.006) but no epigenome-wide significant sites were found. Top-sites (48 at a false discovery rate of 5% in the peripherl blood meta-analysis or in a combined meta-analysis of peripheral blood and cord blood) have been associated with chemical exposures, smoking, cognition, metabolic traits, and genetic variation (mQTLs). Three genes whose expression levels were associated with top-sites were previously linked to schizophrenia and general risk tolerance. At six CpGs, DNA methylation variation in blood mirrors variation in the brain. On average 44% (range=3-82%) of the aggression-methylation association was explained by current and former smoking and BMI. These findings point at loci that are sensitive to chemical exposures with potential implications for neuronal functions. We hope these results to be a starting point for studies leading to applications as peripheral biomarkers and to reveal causal relationships with aggression and related traits.

genetics↗

bioRxiv2020

An integrative study of five biological clocks in somatic and mental health

Biological clocks have been developed at different molecular levels and were found to be more advanced in the presence of somatic illnesses and mental disorders. However, it is unclear whether different biological clocks reflect similar aging processes and determinants. In ~3000 subjects, we examined whether 5 biological clocks (telomere length, epigenetic, transcriptomic, proteomic and metabolomic clocks) were interrelated and associated to somatic and mental health determinants. Correlations between biological clocks were small (all r<0.2), indicating little overlap. The most consistent associations with the advanced biological clocks were found for male sex, higher BMI, metabolic syndrome, smoking and depression. As compared to the individual clocks, a composite index of all five clocks showed most pronounced associations with health determinants. The large effect sizes of the composite index and the low correlation between biological clocks, indicate that ones biological age is best reflected by combining aging measures from multiple cellular levels.

cell biology↗

bioRxiv2020

The motor neuron-like cell line NSC-34 and its parent cell line N18TG2 have glycogen that is degraded under cellular stress

Brain glycogen has a long and versatile history: Primarily regarded as an evolutionary remnant, it was then thought of as an unspecific emergency fuel store. A dynamic role for glycogen in normal brain function has been proposed later but exclusively attributed to astrocytes, its main storage site. Neuronal glycogen had long been neglected, but came into focus when sensitive technical methods allowed quantification of glycogen at low concentration range and the detection of glycogen metabolizing enzymes in cells and cell lysates. Recently, an active role of neuronal glycogen and even its contribution to neuronal survival could be demonstrated. Our studies continue these investigations on the function and regulation of neuronal glycogen metabolism. We demonstrate the presence of an active glycogen metabolism in the neuronal cell lines NSC-34 and N18TG2 and the mobilization of the glycogen stores under hypoxia, oxidative and acidic metabolic stress. The key enzyme in glycogen degradation is glycogen phosphorylase. Neurons express only the brain isoform (GPBB) that is supposed to be activated primarily by the allosteric activator AMP and less by covalent phosphorylation via the cAMP cascade. Our results indicate that neuronal glycogen is not degraded upon hormone action but by factors lowering the energy charge of the cells directly.

neuroscience↗

bioRxiv2019

Germline and somatic genetic variants in the p53 pathway interact to affect cancer risk, progression and drug response

Insights into oncogenesis derived from cancer susceptibility loci could facilitate better cancer management and treatment through precision oncology. However, therapeutic applications have thus far been limited by our current lack of understanding regarding both their interactions with somatic cancer driver mutations and their influence on tumorigenesis. Here, by integrating germline datasets relating to cancer susceptibility with tumour data capturing somatically-acquired genetic variation, we provide evidence that single nucleotide polymorphism (SNPs) and somatic mutations in the p53 tumor suppressor pathway can interact to influence cancer development, progression and treatment response. We go on to provide human genetic evidence of a tumor-promoting role for the pro-survival activities of p53, which supports the development of more effective therapy combinations through their inhibition in cancers retaining wild-type p53. SignificanceWe describe significant interactions between heritable and somatic genetic variants in the p53 pathway that affect cancer susceptibility, progression and treatment response. Our results offer evidence of how cancer susceptibility SNPs can interact with cancer driver genes to affect cancer progression and identify novel therapeutic targets.

cancer biology↗