Biology subjects

Somarelli, J.

Publications and source records attributed to Somarelli, J..

14 recordsLinked to original sources

bioRxiv2026

Systems-level analysis identifies IRF6 as an inhibitor of epithelial-mesenchymal transition

BackgroundEpithelial-mesenchymal transition (EMT) and its reverse process Mesenchymal-Epithelial Transition (MET) are crucial during metastasis and therapy resistance. While the dynamics and master regulators of EMT are well-studied, the transcription factors that can prevent EMT or promote MET are relatively less understood. ResultsHere, by integrating bulk and spatial transcriptomic data analysis from cell lines and patient samples, with mechanism-based dynamical modelling, we identify IRF6 as a factor that strongly associates with an epithelial phenotype and is often inhibited during EMT. In vitro experiments in multiple cancer cell lines demonstrate the progression to a mesenchymal phenotype upon IRF6 knock-down, suggesting a role as an inhibitor of EMT. Finally, we observe that IRF6 expression levels correlates with worse patient survival in a subset of solid tumour types. ConclusionOur integrated computational-experimental systems-level analysis suggests that IRF6 is frequently downregulated during EMT and can also prevent the progression towards a complete EMT, underscoring its role as an MET stabilizing factor.

systems biology↗

bioRxiv2025

A memory-driven model of phenotypic adaptation for anticipating the emergence of enzalutamide resistance in prostate cancer

While contemporary cancer treatment strategies have significantly prolonged the lives of patients, therapeutic resistance remains a predominant cause of disease progression and cancerrelated deaths. Cancer therapy often induces gene regulatory responses that promote cell survival in the face of this therapy. Herein, we sought to develop a stochastic model of the response to repeat therapeutic challenge. This model integrates reinforcement learning to account for environmental history-dependent cellular transitions and growth dynamics. When applied to prostate cancer, this memory-driven adaptive model successfully captures the experimentally-observed dynamics of drugsensitive and drug-resistant LNCaP cells under varying dosing schedules of androgen receptor blockade with enzalutamide (enza), significantly outperforming traditional transition models that lack history dependence. This performance is especially evident in the ability of our approach to robustly predict stochastic fluctuations in cancer cell population sizes across the entire disease trajectory, including subtle, later-emerging responses following initial therapy. The model was further evaluated by predicting the control of resistant cells in an enza environment by modeling inhibition of the p38/MAPK pro-survival stress axis, which was then validated experimentally. Lastly, we developed and applied a patient-calibrated model using prostate-specific antigen (PSA) data from clinical patient cohorts undergoing intermittent androgen deprivation therapy. Our model accurately predicts the PSA dynamics under repeated treatment cycles and effectively distinguishing between patients who respond and those who do not respond to treatment, thereby providing quantitative insight into prostate cancer progression. We anticipate that such adaptive modeling frameworks will be broadly useful for predicting cancer treatment outcomes and developing optimized adaptive therapeutic strategies tailored to patient-specific disease dynamics in additional cancer contexts.

evolutionary biology↗

bioRxiv2025

Exposure to per- and polyfluoroalkyl substances elicits cell type-specific impacts on p53 and TGF-β signaling pathways

Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic chemicals extensively used as plastic additives. Their environmental persistence and potential for bioaccumulation have raised significant toxicological concerns. This study evaluates the cytotoxic and molecular effects of Perfluorooctanoic acid (PFOA) and its replacement compound, Perfluoro(2-methyl-3-oxohexanoic) acid (GenX), in human-derived skin (A375), liver (HepG2), kidney (SN12C), and colon (SW620) cell lines. The experimental design assessed cell viability, gene expression, and perturbations in key cellular stress pathways, with a particular focus on TGF-{beta}/SMAD-mediated inflammation and the p53-driven DNA damage response. Our results demonstrate compound- and cell-type-specific toxicity, with GenX displaying reduced cytotoxicity compared to PFOA across all cell types. Molecular analyses revealed that both PFAS compounds induced alterations in the TGF-{beta}/SMAD pathway, consistent with a pro-inflammatory cellular state. Additionally, we observed activation of the DNA damage response, as evidenced by increased expression of ATM, ATR, and p53, alongside ribosomal stress-related changes in RPL5 and RPL11. Notably, while skin and liver cells exhibited similar response profiles, kidney and colon cells showed divergent modulation of SMAD signaling, suggesting tissue-specific susceptibility and mechanistic differences. These findings contribute to a deeper understanding of the differential toxicological profiles of legacy and replacement PFAS, with implications for health risk assessment and regulatory policy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=112 SRC="FIGDIR/small/652004v2_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@ce20aaorg.highwire.dtl.DTLVardef@c29608org.highwire.dtl.DTLVardef@1081ae6org.highwire.dtl.DTLVardef@11e0401_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2023

Mutually exclusive teams-like patterns characterize phenotypic heterogeneity along the noradrenergic-mesenchymal axis in neuroblastoma

Neuroblastoma is the most frequent extracranial pediatric tumor and leads to 15% of all cancer-related deaths in children. Tumor relapse and therapy resistance in neuroblastoma are driven by phenotypic plasticity and heterogeneity between noradrenergic (NOR) and mesenchymal (MES) cell states. Despite the importance of this phenotypic plasticity, however, the dynamics and molecular patterns associated with these bidirectional cell-state transitions remain relatively poorly understood. Here, we analyze multiple RNA-seq datasets at both bulk and single-cell resolution, to understand the association between NOR- and MES-specific factors. We observed that NOR-specific and MES-specific expression patterns are largely mutually exclusive, exhibiting a "teams-like" behavior among the genes involved, reminiscent of our earlier observations in lung cancer and melanoma. This antagonism was noticed also in the association of NOR and MES phenotypes with metabolic reprogramming and with immunotherapy targets PD-L1 and GD2, and in experimental perturbations driving the NOR-MES and/or MES-NOR transition. Further, this "teams-like" patterns was seen only among the NOR- and MES-specific genes, but not in housekeeping genes, possibly highlighting a hallmark of network topology enabling cancer cell plasticity.

cancer biology↗

bioRxiv2023

Toxicogenomic analysis of the carcinogenic potential of plastic additives

Plastics are the most prevalent human-made substance in the world and are ubiquitous throughout all ecosystems. Microscopic plastic particles are routinely ingested and inhaled by humans and other organisms. Despite the frequency of plastic exposures, little is known about their health consequences. Of particular concern are plastic additives -chemical compounds that are mixed into plastics to improve functionality or are unintentionally acquired during plastic production and use. Additives are loosely bound to the plastic polymer and may be released during plastic exposures. These compounds may pose health concerns, such as cancer, but little is known about the potential impact of these chemicals on health. To better understand the health effects of plastic additives, we performed an integrated toxicogenomic analysis on 2,712 additives, focusing on cancer as a well-studied toxicological endpoint. Screening these substances across three chemical databases revealed two key observations: 1) over 150 plastic additives have known carcinogenicity and 2) the majority ([~]90%) of plastic additives lack data on carcinogenic endpoints. Analyses of additive usage patterns pinpointed specific polymers, functions, and products in which carcinogenic additives reside. Based on published chemical-gene interactions, both carcinogenic additives and additives with unknown carcinogenicity impacted similar biological pathways. The predominant pathways involved DNA damage, apoptosis, immune response, viral diseases, and cancer. This study underscores the urgent need for systematic and comprehensive carcinogenicity assessment of plastic additives and regulatory responses to mitigate the potential health risks of plastic exposure.

pharmacology and toxicology↗

bioRxiv2023

LCP1 Regulates Cell Motility in Chondrosarcoma and Correlates with Metastatic Potential and Poor Patient Outcomes

Chondrosarcoma (CSA) is the second most common primary malignancy of bone, whose aggressive potential and chemo-resistant nature result in extremely poor outcomes in patients with advanced disease. Grading and prognostication of these tumors remain a significant challenge for pathologists, and medical oncologists have no effective therapies to prevent or treat metastatic disease. In the present study, we sought to explore the pathogenesis and aggressive progression of chondrosarcoma by comparing gene expression differences from metastasizing and non-metastasizing CSA tumors. We hypothesized that metastasizing tumors have inherent differences that may be attributed to the dysregulation of specific oncogenic cell signaling pathways. RNA-Seq analysis from patient-derived low-passage cell lines of metastasizing and non-metastasizing tumors pinpointed the gene LCP1 (lymphocyte cytosolic protein 1) as upregulated in CSA cells from metastasizing tumors. Analysis of a large clinical cohort of CSA demonstrated that increased expression of LCP1 correlated with poor patient survival. In vitro analyses confirmed the ability of LCP1 to promote migration and invasion of CSA cells. These data support the key role of LCP1 on metastatic potential and poor prognosis in CSA. In conclusion, we confirm the ability of LCP1 to drive metastatic behavior and correlate with poor outcomes in patients.

cancer biology↗

bioRxiv2023

Dynamical modelling of proliferative-invasive plasticity and IFN-gamma signaling in melanoma reveals mechanisms of PD-L1 expression heterogeneity

Phenotypic heterogeneity of melanoma cells contributes to drug tolerance, increased metastasis, and immune evasion in patients with progressive disease. Diverse mechanisms have been individually reported to shape extensive intra- and inter-tumoral phenotypic heterogeneity, such as IFN{gamma} signaling and proliferative to invasive transition, but how their crosstalk impacts tumor progression remains largely elusive. Here, we integrate dynamical systems modeling with transcriptomic data analysis at bulk and single-cell levels to investigate underlying mechanisms behind phenotypic heterogeneity in melanoma and its impact on adaptation to targeted therapy and immune checkpoint inhibitors. We construct a minimal core regulatory network involving transcription factors implicated in this process and identify the multiple "attractors" in the phenotypic landscape enabled by this network. Our model predictions about synergistic control of PD-L1 by IFN{gamma} signaling and proliferative to invasive transition were validated experimentally in three melanoma cell lines - MALME3, SK-MEL-5 and A375. We demonstrate that the emergent dynamics of our regulatory network comprising MITF, SOX10, SOX9, JUN and ZEB1 can recapitulate experimental observations about the co-existence of diverse phenotypes (proliferative, neural crest-like, invasive) and reversible cell-state transitions among them, including in response to targeted therapy and immune checkpoint inhibitors. These phenotypes have varied levels of PD-L1, driving heterogeneity in immune-suppression. This heterogeneity in PD-L1 can be aggravated by combinatorial dynamics of these regulators with IFN{gamma} signaling. Our model predictions about changes in proliferative to invasive transition and PD-L1 levels as melanoma cells evade targeted therapy and immune checkpoint inhibitors were validated in multiple data sets from in vitro and in vivo experiments. Our calibrated dynamical model offers a platform to test combinatorial therapies and provide rational avenues for the treatment of metastatic melanoma. This improved understanding of crosstalk among PD-L1 expression, proliferative to invasive transition and IFN{gamma} signaling can be leveraged to improve the clinical management of therapy-resistant and metastatic melanoma.

cancer biology↗

bioRxiv2022

Emergent dynamics of underlying regulatory network links EMT and androgen receptor-dependent resistance in prostate cancer

Advanced prostate cancer patients initially respond to hormone therapy, be it in the form of androgen deprivation therapy or second-generation hormone therapies, such as abiraterone acetate or enzalutamide. However, most men with prostate cancer eventually develop hormone therapy resistance. This resistance emerges in several ways, such as through genetic mutations, epigenetic mechanisms, or through non-genetic pathways, such as lineage plasticity along epithelial-mesenchymal or neuroendocrine-like axes. These mechanisms of hormone therapy resistance often co-exist within a single patients tumor and can overlap within a single cell. There exists a growing need to better understand how phenotypic heterogeneity and plasticity results from emergent dynamics of the regulatory networks governing androgen independence. Here, we investigated the dynamics of a regulatory network connecting the drivers of androgen receptor (AR) splice variant-mediated androgen independence and those of epithelial-mesenchymal transition. Model simulations for this network revealed four possible phenotypes: epithelial-sensitive (ES), epithelial-resistant (ER), mesenchymal-resistant (MR) and mesenchymal-sensitive (MS), with the latter phenotype occurring rarely. We observed that well-coordinated "teams" of regulators working antagonistically within the network enable these phenotypes. These model predictions are supported by multiple transcriptomic datasets both at single-cell and bulk levels, including in vitro EMT induction models and clinical samples. Further, our simulations reveal spontaneous stochastic switching between the ES and MR states. Addition of the immune checkpoint molecule, PD-L1, to the network was able to capture the interactions between AR, PD-L1, and the mesenchymal marker SNAIL, which was also confirmed through quantitative experiments. This systems-level understanding of the driver of androgen independence and EMT could aid in understanding non-genetic transitions and progression of such cancers and help in identifying novel therapeutic strategies or targets.

cancer biology↗

bioRxiv2022

The ELF3 transcription factor is associated with an epithelial phenotype and represses epithelial-mesenchymal transition

Epithelial-mesenchymal plasticity (EMP) involves bidirectional transitions between epithelial, mesenchymal and multiple intermediary hybrid epithelial/mesenchymal phenotypes. While the process of epithelial-mesenchymal transition (EMT) and its associated transcription factors are well-characterised, the transcription factors that promote mesenchymal-epithelial transition (MET) and stabilise hybrid E/M phenotypes are less well understood. Here, we analyse multiple publicly-available transcriptomic datasets at bulk and single-cell level and pinpoint ELF3 as a factor that is strongly associated with an epithelial phenotype and is inhibited during EMT. Using mechanism-based mathematical modelling, we also show that ELF3 inhibits the progression of EMT, suggesting ELF3 may be able to counteract EMT induction, including in the presence of EMT-inducing factors, such as WT1. Our model predicts that the MET induction capacity of ELF3 is stronger than that of KLF4, but weaker than that of GRHL2. Finally, we show that ELF3 levels correlates with worse patient survival in a subset of solid tumor types, suggesting cell-of-origin or lineage specificity in the prognostic capacity of ELF3.

cancer biology↗

bioRxiv2022

Loss of the chromatin remodeler, ATRX, promotes aggressive features of osteosarcoma with increased NF-κB signaling and integrin receptor binding

Osteosarcoma (OS) is a lethal disease with few known targeted therapies. Here we show that decreased ATRX expression is associated with more aggressive tumor cell phenotypes, including increased growth, migration, invasion, and metastasis. These phenotypic changes correspond with activation of NF-{kappa}B signaling, extracellular matrix remodeling, increased integrin v{beta}3 expression, and ETS family transcription factor binding. Here we characterize these changes in vitro, in vivo, and in a dataset of human OS patients. This increased aggression substantially sensitizes ATRX-deficient OS cells to integrin signaling inhibition. Thus, ATRX plays an important tumor suppression role in OS, and loss of function of this gene may underlie new therapeutic vulnerabilities. The relationship between ATRX expression and integrin binding, NF-{kappa}B activation, and ETS family transcription factor binding has not been described in previous studies and may impact the pathophysiology of other diseases with ATRX loss, including other cancers and the ATR-X alpha thalassemia mental retardation syndrome.

cancer biology↗

bioRxiv2022

Mapping phenotypic heterogeneity in melanoma onto the epithelial-hybrid-mesenchymal axis

Epithelial to mesenchymal transition (EMT) is a well-studied hallmark of epithelial-like cancers that is characterized by loss of epithelial markers and gain of mesenchymal markers. Interestingly, melanoma, which is derived from melanocytes of the skin, also undergo phenotypic plasticity toward mesenchymal-like phenotypes under the influence of various micro-environmental cues. Our study connects EMT to the phenomenon of de-differentiation (i.e., transition from proliferative to more invasive phenotypes) observed in melanoma cells during drug treatment. By analyzing 78 publicly available transcriptomic melanoma datasets, we found that de-differentiation in melanoma is accompanied by upregulation of mesenchymal genes, but not necessarily a concomitant loss of an epithelial program, suggesting a more "one-dimensional" EMT that leads to a hybrid epithelial/ mesenchymal phenotype. Samples lying in the hybrid epithelial/mesenchymal phenotype also correspond to the intermediate phenotypes in melanoma along the proliferative-invasive axis - neural crest and transitory ones. Interestingly, as melanoma cells progress along the invasive axis, the mesenchymal signature does not increase monotonically. Instead, we observe a peak in mesenchymal scores followed by a decline, as cells further de-differentiate. This biphasic response recapitulates the dynamics of melanocyte development, suggesting close interactions among genes controlling differentiation and mesenchymal programs in melanocytes. Similar trends were noted for metabolic changes often associated with EMT in carcinomas in which progression along mesenchymal axis correlates with the downregulation of oxidative phosphorylation, while largely maintaining glycolytic capacity. Overall, these results provide an explanation for how EMT and dedifferentiation axes overlap with respect to their transcriptional and metabolic programs in melanoma.

cancer biology↗

bioRxiv2021

KLF4 induces Mesenchymal-Epithelial Transition (MET) by suppressing multiple EMT-inducing transcription factors

Epithelial-Mesenchymal Plasticity (EMP) refers to reversible dynamic processes where cells can transition from epithelial to mesenchymal (EMT) or from mesenchymal to epithelial (MET) phenotypes. Both these processes are modulated by multiple transcription factors acting in concert. While EMT-inducing transcription factors (TFs) - TWIST1/2, ZEB1/2, SNAIL1/2/3, GSC, FOXC2 - are well-characterized, the MET-inducing TFs are relatively poorly understood (OVOL1/2, GRHL1/2). Here, using mechanism-based mathematical modeling, we show that the transcription factor KLF4 can delay the onset of EMT by suppressing multiple EMT-TFs. Our simulations suggest that KLF4 overexpression can promote phenotypic shift toward a more epithelial state, an observation suggested by negative correlation of KLF4 with EMT-TFs and with transcriptomic based EMT scoring metrics in cancer cell lines. We also show that the influence of KLF4 in modulating EMT dynamics can be strengthened by its ability to inhibit cell-state transitions at an epigenetic level. Thus, KLF4 can inhibit EMT through multiple parallel paths and can act as a putative MET-TF. KLF4 associates with patient survival metrics across multiple cancers in a context-specific manner, highlighting the complex association of EMP with patient survival.

cancer biology↗

bioRxiv2020

A cross-species drug discovery pipeline to identify and validate new treatments for osteosarcoma

PurposeOsteosarcoma is a rare but aggressive bone cancer that occurs primarily in children. Like other rare cancers, treatment advances for osteosarcoma have stagnated, with little improvement in survival for the past several decades. Developing new treatments has been hampered by extensive genomic heterogeneity and limited access to patient samples to study the biology of this complex disease. Experimental designTo overcome these barriers, we combined the power of comparative oncology with patient-derived models of cancer and high-throughput chemical screens in a cross-species drug discovery pipeline. ResultsCoupling in vitro high-throughput drug screens on low-passage and established cell lines with in vivo validation in patient-derived xenografts we identify the proteasome and CRM1 nuclear export pathways as therapeutic sensitivities in osteosarcoma, with dual inhibition of these pathways inducing synergistic cytotoxicity. ConclusionsThese collective efforts provide an experimental framework and set of new tools for osteosarcoma and other rare cancers to identify and study new therapeutic vulnerabilities.

cancer biology↗

bioRxiv2020

Convergent evolution of p38/MAPK activation in hormone resistant prostate cancer mediates pro-survival, immune evasive, and metastatic phenotypes

Adaptation of cancer cells to targeted therapy follows ecological paradigms observed in natural populations that encounter resource depletion and changing environments, including activation of pro-survival mechanisms, migration to new locations, and escape of predation. We identified the p38 MAPK pathway as a common molecular driver of these three responses during the adaptation to hormone therapy resistance in prostate cancer. The p38 pathway is activated in therapy-resistant cells and mechanistically drives these three convergent responses through sustained AR activity, enhanced invasion and metastasis, and immune evasion. Targeting p38 signaling may represent a new therapeutic strategy to treat men with metastatic, hormone therapy-resistant prostate cancer.

cancer biology↗