Biology subjects

Ferrao Blanco, M. N.

Publications and source records attributed to Ferrao Blanco, M. N..

3 recordsLinked to original sources

bioRxiv2026

The bone marrow microenvironment of RAS pathway mutant B-ALL is enriched for immunosuppressive regulatory T cells

Somatic mutations in the RAS pathway are highly prevalent in B-Cell Acute Lymphoblastic Leukemia (B-ALL), yet their impact on the bone marrow immune microenvironment and response to immunotherapy remains poorly defined. In this study, we integrated bulk RNA-sequencing, single-cell RNA-sequencing (scRNA-seq), and spectral flow cytometry to characterize the immune landscape of RAS-mutant B-ALL. We identified pathogenic mutations in KRAS, NRAS, PTPN11, or BRAF in 42% of the cohort, predominantly as clonal events. Despite similar T-cell frequencies by flow cytometry, bulk transcriptomes from RAS-mutant samples showed suppression of immune-response and T-cell-activation pathways, and T cells from RAS-mutant patients exhibited impaired proliferation ex vivo. Single-cell analysis revealed higher CD8 dysfunction scores and enrichment of regulatory T cells (Tregs) in RAS-mutant bone marrow. These findings were validated by spectral flow cytometry and by CIBERSORTx deconvolution of bulk data. Trajectory analysis supported a higher CD4 to Treg differentiation in the RAS-mutant niche, and CellChat mapping identified contact-dependent and checkpoint interactions (including TIGIT-NECTIN2 and CTLA-4-CD86/ICOSL) enriched in RAS-mutant samples. Functionally, blinatumomab produced limited leukemic-cell killing ex vivo overall, but addition of CTLA-4 blockade (ipilimumab) selectively restored blinatumomab efficacy in RAS-mutant samples. Together, these results indicate that RAS-pathway activation associates with a Treg-enriched, immunosuppressive bone-marrow microenvironment and point to CTLA-4-targeted strategies to enhance T-cell-engager efficacy in this subgroup.

cancer biology↗

bioRxiv2025

Bone marrow lymphocyte dynamics during chemotherapy in pediatric acute myeloid leukemia

A better understanding of lymphocyte dynamics during current treatment regimens in pediatric AML is urgently needed to understand whether the application of bispecific T-cell-engagers (BiTEs) during periods of low tumor burden could be a viable treatment strategy. In this study, we found that induction 1, comprising mitoxantrone-etoposide-cytarabine in nearly all patients (as part of the NOPHO-DBH AML-2012 protocol), led to preserved or increased relative lymphocyte abundances alongside marked blast reduction in most cases. This was accompanied by a shift towards higher T-cell fractions, potentially creating a favorable window for BiTE therapy. The absence of a correlation between blast reduction and lymphocyte changes suggests that chemotherapy exerts differential effects on the lymphocyte compartment. Despite the heterogeneity of agents used in induction 2, more than half of patients showed a decline in lymphocyte levels. Nonetheless, the increase in T- and B-cells observed in most patients from the NOPHO-AML 2004 cohort after induction 2 suggests that lymphocyte recovery at this treatment stage is not uniformly impaired. Our transcriptomic and ex vivo functional data align with preclinical findings in adult AML and provide a basis for further investigations in in vivo models and early clinical trials. Such efforts should prioritize novel BiTE constructs targeting multiple tumor-associated (e.g., NCT05673057) or tumor-specific antigens.

cancer biology↗

bioRxiv2021

An integrated in silico-in vitro approach for identification of therapeutic drug targets for osteoarthritis

Without the availability of disease-modifying drugs, there is an unmet therapeutic need for osteoarthritic patients. During osteoarthritis, the homeostasis of articular chondrocytes is dysregulated and a phenotypical transition called hypertrophy occurs, leading to cartilage degeneration. Targeting this phenotypic transition has emerged as a potential therapeutic strategy. Chondrocyte phenotype maintenance and switch are controlled by an intricate network of intracellular factors, each influenced by a myriad of feedback mechanisms, making it challenging to intuitively predict treatment outcomes. In this study, we developed a regulatory network model using knowledge-based and data-driven modelling technologies. The in silico high-throughput screening of (pairwise) perturbations operated with that network model highlighted conditions impacting the hypertrophic switch. Several combinations were tested in a murine cell line and primary chondrocytes to validate the predicted conditions potential. Our in silico-in vitro strategy opens a new route for developing osteoarthritis targeting therapies by refining the early stages of drug discovery.

systems biology↗