Ayelen Toro

Neuroendocrine prostate cancer (NEPC) is characterized by androgen receptor (AR) independence and poor response to conventional therapies, highlighting the need to unveil the molecular mechanisms behind NEPC. We previously showed that heme oxygenase 1 (HO-1, encoded by HMOX1) translocates to the nucleus exerting unexplored non-canonical functions. The present study delineates the nuclear interactome of HO-1, revealing a potential mechanism that impairs NEPC establishment. Through a proteomics approach integrated with bioinformatics analyses, we identified eleven novel nuclear interactors of HO-1. Unsupervised clustering analyses of RNA-seq data from prostate cancer (PCa) patient-derived xenografts (MDA PCa PDXs) and clinical cohorts demonstrated high expression of three HO-1 interactors (ILF3, SAFB, BCLAF1, and DDX17) in NEPC samples, with concomitant HMOX1 under-expression. Spatial transcriptomics in a mixed-histology tumor confirmed enrichment of the interactors in the NEPC foci. To better understand the link between HO-1 and NEPC, we established and characterized an in vitro model of NE transdifferentiation in PCa cell lines using forskolin to induce phenotypic reprogramming. HO-1 upregulation in transdifferentiated cells significantly attenuated the expression of NE markers and triggered a morphological shift, restoring epithelial phenotypes. This work identifies for the first time HO-1 nuclear interactome association with NEPC, where the HMOX1-ILF3-SAFB-BCLAF1-DDX17 print emerges as a useful marker for disease stratification.

Neuroendocrine prostate cancer (NEPC) is characterized by androgen receptor (AR) independence and poor response to conventional therapies, highlighting the need to unveil the molecular mechanisms behind NEPC. We previously showed that heme oxygenase 1 (HO-1, encoded by HMOX1) translocates to the nucleus exerting unexplored non-canonical functions. The present study delineates the nuclear interactome of HO-1 revealing a potential mechanism that impairs NEPC establishment. Through a proteomics approach integrated with bioinformatics analyses we identified eleven novel nuclear interactors of HO-1. Unsupervised clustering analyses of RNA-seq data from prostate cancer (PCa) patient-derived xenografts (MDA PCa PDXs) and clinical cohorts demonstrated high expression of three HO-1 interactors (ILF3, SAFB, BCLAF1 and DDX17) in NEPC samples, with concomitant HMOX1 under-expression. Spatial transcriptomics in a mixed-histology tumor confirmed enrichment of the interactors in the NEPC foci. To better understand the link between HO-1 and NEPC we established and characterized an in vitro model of NE transdifferentiation in PCa cell lines using forskolin to induce phenotypic reprogramming. HO-1 upregulation in transdifferentiated cells significantly attenuated the expression of NE markers and triggered a morphological shift, restoring epithelial phenotypes. This work identifies for the first time HO-1 nuclear interactome association with NEPC where HMOX1-ILF3-SAFB-BCLAF1-DDX17 print emerges as a useful marker for disease stratification.

Recent developments have broadened our perception of SARS-CoV-2, indicating its capability to affect the body systemically beyond its initial recognition as a mere respiratory pathogen. However, the pathways of its widespread are not well understood. Employing a dual-modality approach, we integrated findings from a Murine Hepatitis Virus (MHV) infection model with corroborative clinical data to investigate the pervasive reach of Coronaviruses. The novel presence of viral particles within red blood cells (RBCs) was demonstrated via high-resolution transmission electron microscopy, with computational modeling elucidating a potential heme-mediated viral entry mechanism via Spike protein affinity. Our data affirm viral localization in RBCs, suggesting heme moieties as facilitators for cellular invasion. Exacerbation of MHV pathology upon hemin administration, contrasted with chloroquine-mediated amelioration, underscoring a heme-centric pathway in disease progression. These observations extend the paradigm of Coronavirus pathogenicity to include hemoprotein interactions. This study casts new light on the systemic invasion capabilities of Coronaviruses, linking RBC hemoproteins with viral virulence. The modulation of disease severity through heme-interacting agents heralds a promising avenue for COVID-19 therapeutics. Our findings propose a paradigm shift in the treatment approach, leveraging the virus-heme interplay as a strategic hinge for intervention.

Background/Objectives: Prostate cancer (PCa) is the leading malignancy and the third most common cause of cancer-related death in Argentinian men. Predicting outcomes in localized PCa remains difficult due to tumor heterogeneity. In this study, we assessed the impact of AR (CAG)_n and APEX1 c.444T>G polymorphisms on biochemical relapse in Argentine patients with localized PCa. Methods: We genotyped blood samples from 123 PCa patients for AR (CAG)_n and APEX1 p.Asp148Glu (c.444T>G) polymorphisms. Associations with clinicopathological parameters and biochemical relapse-free survival (BRFS) were assessed. Results: AR (CAG)_20–23 was associated with a family history of breast/ovarian cancer (p = 0.0469). The combination of AR (CAG)_20–23 and APEX1 c.444TT/GG correlated with a 2.89 times higher risk of biochemical relapse (log-rank p = 0.006). Multivariable analysis confirmed AR and APEX1 polymorphisms as independent predictors of biochemical relapse (HR = 3.95, p = 0.002). In patients with PSA levels G polymorphisms as independent predictors of PCa relapse in Argentinian patients, suggesting their potential use in improving prognostic models.

Prostate cancer (PCa) poses a significant global health challenge, particularly due to its progression into aggressive forms like neuroendocrine prostate cancer (NEPC). This study developed and validated a stemness-associated gene signature using advanced machine learning techniques, including Random Forest and Lasso regression, applied to large-scale transcriptomic datasets. The resulting seven-gene signature (KMT5C, DPP4, TYMS, CDC25B, IRF5, MEN1, and DNMT3B) was validated across independent cohorts and patient-derived xenograft (PDX) models. This signature demonstrated strong prognostic value for progression-free, disease-free, relapse-free, metastasis-free, and overall survival. Importantly, the signature not only identified specific NEPC subtypes, such as large-cell neuroendocrine carcinoma, which is associated with very poor outcomes, but also predicted a poor prognosis for PCa cases that exhibit this molecular signature, even when they were not histopathologically classified as NEPC. This dual prognostic and classifier capability makes the seven-gene signature a robust tool for personalized medicine, providing a valuable resource for predicting disease progression and guiding treatment strategies in PCa management.

SARS-CoV-2 infection causes a multisystemic disease that affects numerous organs beyond the respiratory system. Thus, it is well known that COVID-19 is associated with a wide range of hematological disorders; however, it remains unclear how the SARS-CoV-2 virus is able to navigate from tissue to tissue. In this work, we performed a comprehensive analysis of the pleiotropic effects of a prototypical coronavirus in its natural host, the validated preclinical model of murine hepatitis virus (MHV). Throughout this study we compared our results with the real-world data from COVID-19 patients (including autopsies). Thus, the presence of viral RNA was only detected in less than 25% of the human serum samples, whereas all had multiple positive nasal swabs for SARS-CoV-2. Notably, we found viral RNA not only in lungs, but also in heart and kidney of deceased COVID-19 patients. Subsequently, we investigated the association between viral organotropism and clinical manifestations employing the MHV murine model. Results from RT-qPCR and viral infectivity showcased the presence of viral RNA and infectious particles in multiple organs including liver, lung, brain, heart, kidney, spleen and pancreas, and even the blood of infected mice. Surprisingly, when comparing plasma and red blood cells (RBCs)-enriched fraction, higher viral load levels were detected in RBCs, with decreased RBC count, and hematocrit and hemoglobin levels in infected mice. Next, we treated infected mice with hemin triggering more aggressive symptoms. Strikingly, when combining hemin treatment with chloroquine (a compound that known to interact with the heme group and induces a conformational change in its structure) the infection and its clinical manifestations were distinctly attenuated. Computational docking suggested that heme is able to bind to MHV Spike protein in a similar way to the one, experimentally observed for SARS-CoV-2. Overall, our results lead to a global perspective of COVID-19 beyond the canonical focus on the respiratory system, and strongly support the multi-organ extent of coronavirus infection through specific interactions with RBC hemoproteins.

Interferon gamma (IFN-γ) may be potential adjuvant immunotherapy for COVID-19 patients. In this work, we assessed gene expression profiles associated with the IFN-γ pathway in response to SARS-CoV-2 infection. Employing a case-control study from SARS-CoV-2-positive and -negative patients, we identified IFN-γ-associated pathways to be enriched in positive patients. Bioinformatics analyses showed upregulation of MAP2K6, CBL, RUNX3, STAT1, and JAK2 in COVID-19-positive vs. -negative patients. A positive correlation was observed between STAT1/JAK2, which varied alongside the patient’s viral load. Expression of MX1, MX2, ISG15, and OAS1 (four well-known IFN-stimulated genes (ISGs)) displayed upregulation in COVID-19-positive vs. -negative patients. Integrative analyses showcased higher levels of ISGs, which were associated with increased viral load and STAT1/JAK2 expression. Confirmation of ISGs up-regulation was performed in vitro using the A549 lung cell line treated with Poly (I:C), a synthetic analog of viral double-stranded RNA; and in different pulmonary human cell lines and ferret tracheal biopsies infected with SARS-CoV-2. A pre-clinical murine model of Coronavirus infection confirmed findings displaying increased ISGs in the liver and lungs from infected mice. Altogether, these results demonstrate the role of IFN-γ and ISGs in response to SARS-CoV-2 infection, highlighting alternative druggable targets that can boost the host response.

Interferon gamma may be a potential adjuvant immunotherapy for COVID-19 patients. In this work, we assessed gene expression profiles associated with the IFN-γ pathway in response to SARS-CoV-2 infection. Employing a case-control study from SARS-CoV-2 positive and negative patients, we identified IFN-γ-associated pathways to be enriched in positive patients. Bioinformatics analyses showed upregulation of MAP2K6, CBL, RUNX3, STAT1 and JAK2 in COVID-19 positive vs. negative patients. A positive correlation was observed between STAT1 / JAK2 , which varied alongside the patient’s viral load. Expression of MX1, MX2, ISG15 and OAS1 (4 well-known IFN-stimulated genes (ISGs)) displayed upregulation in COVID-19 positive vs. negative patients. Integrative analyses showcased higher levels of ISGs which were associated with increased viral load and STAT1/JAK2 expression. Confirmation of ISGs up-regulation was performed in vitro using the A549 lung cell line treated with Poly(I:C), a synthetic analog of viral double-stranded RNA; and in different pulmonary human cell lines and ferret tracheal biopsies infected with SARS-CoV-2. A pre-clinical murine model of coronavirus infection confirmed findings displaying increased ISGs in the liver and lungs from infected mice. Altogether, these results demonstrate the role of IFN-γ and ISGs in response to SARS-CoV-2 infection, highlighting alternative druggable targets that can boost the host response.

Bone hosts the 88% of Prostate Cancer (PCa) metastases and no curative therapy is currently available for this stage. Arrival of PCa cells to the bone homing organ is accompanied by a metabolic adaptation, which may be mediated by bone secreted factors. Herein, we sought to identify key metabolic genes fueling PCa bone metastasis and soluble factors secreted by bone cells leading to the metabolic rewiring of tumoral cells. By an indirect transwell co-culture system of PCa (PC3) and bone progenitor cells (MC3T3, pre-osteoblasts; or Raw264.7, pre-osteoclasts) we analyzed the transcriptome (RNA-seq) of PC3 cells modulated by soluble factors released from bone precursors. GSEA showed a strong activation of lipid metabolism, including PPAR and PI3K-Akt pathways, fat absorption and digestion. We then performed a Principal Component Analysis using transcriptomic data from human PCa and bone metastasis samples (GSE74685), showcasing that those metabolic genes that appeared significantly dysregulated in the co-culture model could accurately cluster samples by their tissue of origin in two defined groups: primary PCa and bone metastasis. This result was confirmed by an unsupervised clustering analysis, highlighting that the transcriptional metabolic profile triggered in the in vitro model has a clinical correlate in human bone metastasis samples. Interestingly, when performing a survival analysis for those genes in the SU2C-PCF dataset, we observed that 4 lipid-associated genes, PPARA, VDR, SLC16A1 and GPX1, correlated with a shorter overall survival time, and appeared as independent risk-predictors of death (HR: 4.96, 2.85, 3.93 and 3.67, respectively; PCitation Format: Pablo Sanchis, Nicolas Anselmino, Rosario Lavignolle, Agustina Sabater, Estefania Labanca, Juan Bizzotto, Sofia Lage-Vickers, Gaston Pascual, Rocio Seniuk, Ayelen Toro, Nora Navone, Javier Cotignla, Elba Vazquez, Geraldine Gueron. Early metabolic rewiring of prostate cancer cells triggered by bone progenitors defines survival of metastatic prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2374.

Metastatic prostate cancer (PCa) cells soiling in the bone require a metabolic adaptation. Here, we identified the metabolic genes fueling the seeding of PCa in the bone niche. Using a transwell co-culture system of PCa (PC3) and bone progenitor cells (MC3T3 or Raw264.7), we assessed the transcriptome of PC3 cells modulated by soluble factors released from bone precursors. In a Principal Component Analysis using transcriptomic data from human PCa samples (GSE74685), the altered metabolic genes found in vitro were able to stratify PCa patients in two defined groups: primary PCa and bone metastasis, confirmed by an unsupervised clustering analysis. Thus, the early transcriptional metabolic profile triggered in the in vitro model has a clinical correlate in human bone metastatic samples. Further, the expression levels of five metabolic genes (VDR, PPARA, SLC16A1, GPX1 and PAPSS2) were independent risk-predictors of death in the SU2C-PCF dataset and a risk score model built using this lipid-associated signature was able to discriminate a subgroup of bone metastatic PCa patients with a 23-fold higher risk of death. This signature was validated in a PDX pre-clinical model when comparing MDA-PCa-183 growing intrafemorally vs. subcutaneously, and appears to be under the regulatory control of the Protein Kinase A (PKA) signaling pathway. Secretome analyses of conditioned media showcased fibronectin and type-1 collagen as critical bone-secreted factors that could regulate tumoral PKA. Overall, we identified a novel lipid gene signature, driving PCa aggressive metastatic disease pointing to PKA as a potential hub to halt progression.