Biology subjects

Paramio, J. M.

Publications and source records attributed to Paramio, J. M..

6 recordsLinked to original sources

bioRxiv2025

CD44v6 Drives Tumor Aggressiveness and Chemoresistance in Bladder Cancer

Bladder cancer is a fast-moving and recurrent malignancy where survival hinges on early detection and precise risk stratification. The search for robust biomarkers is urgent, and CD44v6 has emerged as a compelling candidate. In this study, we reveal that CD44v6 is not merely a marker but a driver of urothelial carcinoma aggressiveness. Through integrated clinical and functional analyses, we show that high CD44v6 expression is strongly associated with poor patient outcomes. Mechanistic investigations demonstrate that CD44v6 amplifies the proliferative, migratory, and invasive potential of bladder cancer cells, while conferring marked resistance to cisplatin. These findings position CD44v6 at the intersection of tumor progression and therapeutic failure, underscoring its value as both a prognostic biomarker and a promising therapeutic target. Targeting CD44v6 could pave the way for strategies that curb disease aggressiveness and overcome chemoresistance in bladder cancer.

cancer biology↗

bioRxiv2025

Cell-of-origin and genetic drivers define advanced bladder cancer subtypes and potential therapeutic response in mouse models

Bladder cancer (BC) remains a major clinical challenge owing to its high recurrence, limited treatment options, and molecular heterogeneity. Despite recent therapeutic advances, prognosis remains poor, and resistance is frequent, underscoring the need for improved experimental models to study tumorigenesis and therapeutic response. A key limitation of advanced BC research is the scarcity of in vivo models that accurately reflect invasive disease, with even fewer capturing the complexity of metastasis. To investigate how the cell-of-origin and specific combinations of driver mutations influence in bladder tumorigenesis, we developed and characterized four genetically engineered mouse models of advanced BC by targeting two combinations of tumor suppressor genes (Pten and Trp53, or Pten, Trp53, Rb1, and Rbl1) in basal or suprabasal urothelial cells through intravesical of Cre-adenovirus delivery. Loss of the retinoblastoma family reduced cancer-specific survival and was associated with more differentiated carcinomas. In both genetic backgrounds, luminal-derived tumors developed earlier but showed fewer metastatic events. Histopathological and transcriptomic analyses revealed that these tumors resemble human basal-squamous and stroma-rich subtypes, sharing regulatory networks and activated signaling pathways with human invasive tumors. Notably, tumors lacking retinoblastoma family genes exhibited increased immune infiltration, reinforcing the value of these models for diverse preclinical applications. To overcome detection and latency limitations, we established tumor-derived cell lines and generated syngeneic graft models. These were validated as preclinical platforms, exhibiting therapeutic responses to CDK4/6 inhibition and anti-PD-L1 immunotherapy. Our findings highlight the value of these novel models for studying BC progression and evaluating emerging therapeutic strategies in immunocompetent settings.

cancer biology↗

bioRxiv2024

Genomic Insights Guiding Personalized First-Line Immunotherapy Response in Lung and Bladder Tumors

Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, particularly in advanced non-small cell lung cancer (NSCLC) and muscle-invasive bladder cancer (MIBC). However, identifying reliable predictive biomarkers for ICI response remains a significant challenge. In this study, we analyzed real-world cohorts of advanced NSCLC and MIBC patients treated with ICIs as first-line therapy. Tumor samples underwent Whole Genome Sequencing (WGS) to identify specific somatic variants and assess tumor mutational burden (TMB). Additionally, mutational signature extraction and pathway enrichment analyses were performed to uncover the underlying mechanisms of ICI response. We also characterized HLA-I haplotypes and investigated LINE-1 retrotransposition. Distinct mutation patterns were identified in patients who responded to treatment, suggesting potential biomarkers for predicting ICI effectiveness. In NSCLC, tumor mutational burden (TMB) did not differ significantly between responders and non-responders, while in MIBC, higher TMB was linked to better responses. Specific mutational signatures and HLA haplotypes were associated with ICI response in both cancers. Pathway analysis showed that NSCLC responders had active inflammatory and immune pathways, while non-responders had pathways such related to FGFR3 and neural crest differentiation associated to resistance mechanisms. In MIBC, responders had alterations in DNA repair, leading to more neoantigens and a stronger ICI response. Importantly, for the first time, we found that LINE-1 activation was positively linked to ICI response, especially in MIBC. These findings reveal promising biomarkers and mechanistic insights, offering a new perspective on predicting ICI response and opening up exciting possibilities for more personalized immunotherapy strategies in NSCLC and MIBC.

genomics↗

bioRxiv2024

The G-Protein Couple Receptor Kinase 2 (GRK2) Orchestrates Hair Follicle Homeostasis

Tightly regulated cell-cell and cell-niche intercommunications via intertwined signaling networks are involved in maintaining normal hair follicle (HF) homeostasis, cycling and cell fate determination. However, knowledge of specific mechanisms by which hair loss takes place under pathological situations is needed. Using a keratinocyte-specific knockout mouse model, we uncover that the G-protein-coupled receptor kinase 2 (GRK2) signaling node plays a key role in HF homeostasis. Epidermal GRK2 ablation causes alterations during anagen induction, giving rise to abnormal cyst-like structures. HF-linked cysts display aberrant growth and differentiation patterns as well as lineage infidelity, displaying features of abortive HFs unable to fully acquire canonical hallmarks. Cysts triggered by GRK2 deletion displace the dermal papilla away from the bulge and promote irreversible changes in HF stem cell architecture, leading to bulge destruction and hair loss. Our data provide unforeseen roles of GRK2 in epidermal physiology and uncover mechanisms linking dystrophic follicular cysts formation with hair loss, with potential connections to pathogenic processes operating in immune-mediated alopecias.

cell biology↗

bioRxiv2023

Comprehensive Landscape of Non-muscle Invasive Bladder Cancer Tumour Microenvironment and Prognostic value of Cancer-Associated Myofibroblasts

BACKGROUNDNon-muscle-invasive bladder cancer (NMIBC) poses clinical challenges due to its high recurrence and progression rates. While Bacillus Calmette-Guerin (BCG) remains as the gold standard treatment for high-risk NMIBC, recent irruption of anti-PD-1/PD-L1 drugs claims for a comprehensive understanding of the tumour microenvironment (TME) of these tumors. METHODSThe present prospective study consisted on the analysis 98 fresh NMIBC samples, tumor and non-pathological tissue, via flow cytometry. Final analysis included distribution of 11 cell types and the expression of PD-L1 in 66 tumor and 62 non-pathological tissue biopsies from 73 NMIBC patients (84.4% paired samples). The results were validated using publicly available transcriptomic data, and histology. RESULTSIn comparison to non-pathological tissue, the TME of NMIBC presented microvascular alterations, increased cancer-associated fibroblast (CAF) and myofibroblast (myoCAF) presence, and varied immune cell distribution. Heterogeneous PD-L1 expression was observed across subsets, with cancer cells as primary potential anti-PD-L1 binding targets. Unbiased analysis revealed that myoCAF and M2-like macrophages are enriched in high grade NMIBC tumors, but only myoCAF were associated with higher rates of progression and recurrence, as we confirmed in three independent transcriptomic cohorts (888 total patients). We further validated the prognostic value of myoCAFs by tissue micro-array. CONCLUSIONThis comprehensive analysis provides a roadmap to establish the full landscape of the NMIB[C]s TME, highlighting myoCAFs as potential prognostic markers. FUNDINGThis study was funded by FC AECC (INVES222946GARC), Consejeria de Educacion, Ciencia y Universidades de la CAM (2018-T2/BMD-10342), Hoffmann-La Roche, Ministerio de Ciencia e Innovacion (INMUNOEPIBLA) and ISCIII/FEDER (CIBERONC CB16/12/00489)

cancer biology↗

bioRxiv2017

Clusterization in head and neck squamous carcinomas based on lncRNA expression: molecular and clinical correlates

BackgroundLong non-coding RNAs (lncRNAs) have emerged as key players in a remarkably variety of biological processes and pathologic conditions, including cancer. Next-generation sequencing technologies and bioinformatics procedures predict the existence of tens of thousands of lncRNAs, from which we know the functions of only a handful of them, and very little is known in cancer types such as head and neck squamous cell carcinomas (HNSCCs).\n\nResultsHere, we use RNA-seq expression data from The Cancer Genome Atlas (TCGA) and various statistic and software tools in order to get insight about the lncRNome in HNSCC. Based on lncRNAs expression across 426 samples, we discover five distinct tumor clusters that we compare with reported clusters based on various genomic/genetic features. Results demonstrate significant associations between lncRNA-based clustering and DNA-methylation, TP53 mutation, and human papillomavirus infection. Using \"guilt by association\" procedures, we infer the possible biological functions of representative lncRNAs of each cluster. Furthermore, we found that lncRNA clustering is correlated with some important clinical and pathologic features, including patient survival after treatment, tumor grade or sub-anatomical location.\n\nConclusionsWe present a landscape of lncRNAs in HNSCC, and provide associations with important genotypic and phenotypic features that may help to understand the disease.

genomics↗