Biology subjects

Maestro, R.

Publications and source records attributed to Maestro, R..

4 recordsLinked to original sources

bioRxiv2026

B7-H4 represents a site-specific immunotherapy target in small bowel gastrointestinal stromal tumor

Small bowel gastrointestinal stromal tumors (GISTs) are more aggressive than gastric GISTs, yet the biologic basis for this difference remains poorly understood. We hypothesized that differential expression of immune checkpoints contributes to this site-specific behavior. Bulk RNA sequencing of 42 primary GISTs (36 gastric, 6 small bowel) revealed marked upregulation of VTCN1, which encodes the inhibitory checkpoint B7-H4, in small bowel tumors (log2FC = 7.95, adjusted P < 0.001). In contrast, expression of the therapeutically targeted checkpoints PD-L1, PD-1, and CTLA-4 was comparable between sites. Concordantly, B7-H4 enrichment was accompanied by an immunosuppressive tumor microenvironment, characterized by reduced antigen-presenting cells, fewer effector-memory CD8+ T cells, lower granzyme B expression, and suppression of interferon and inflammatory signaling pathways. Notably, the differences in B7-H4 expression were independent of imatinib-treatment status. These findings were corroborated in an external cohort of 77 untreated GISTs, in which VTCN1 was similarly enriched in small bowel tumors. Independent immunohistochemical analysis of a tissue microarray comprising 68 untreated primary GISTs confirmed the pattern, showing median B7-H4 positivity of 78.6% in duodenal, 20.5% in jejunal/ileal, and 0% in gastric tumors, with staining localized to tumor cells rather than stroma. Collectively, these data identify B7-H4 as a site-specific feature of small bowel GISTs and a potential therapeutic target for tumors that have not responded to conventional checkpoint blockade.

immunology↗

bioRxiv2026

Histone deacetylase activity limits the response to EZH2 inhibition-based therapy in epithelioid sarcoma and is targetable by epigenetic combination

Epithelioid sarcoma (EpS) is an ultra-rare, aggressive soft tissue sarcoma (STS) driven by INI1 loss and consequent hyperactivation of the chromatin-modifying enzyme EZH2. Although the EZH2 inhibitor tazemetostat has shown clinical activity, responses remain limited, highlighting the need for improved treatment strategies. Here, using two in-house generated patient-derived xenograft models and matched cell lines derived from INI-1 deficient EpS, we investigated EZH2 inhibition in combination with doxorubicin, the first-line standard for advanced STSs, identifying distinct patterns of response and resistance. Integrated transcriptomic and functional analyses revealed that response to EZH2 inhibition-based therapy was associated with chromatin remodeling, characterized by increased H3K27 acetylation and downregulation of histone deacetylase (HDAC)-related transcriptional programs. Conversely, the intrinsically resistant model failed to undergo this epigenetic transition despite EZH2 inhibition. Pharmacological HDAC inhibition restored H3K27 acetylation, promoted apoptosis, and enhanced the activity of EZH2 inhibition-based therapy. These findings identify failure to accumulate H3K27 acetylation as a hallmark of resistance to EZH2 inhibition-based treatment, and show that pharmacological HDAC inhibition can restore this chromatin transition and re-sensitize resistant tumors, providing a rationale for combined epigenetic targeting strategies in INI1-deficient malignancies. Translational relevanceProspective trials are challenging in rare tumors such as epithelioid sarcoma (EpS), limiting the level of evidence for existing therapies and the development of new agents. This is particularly relevant for EpS, where drug regimens are those used for all soft tissue sarcomas (STSs), and the specific mechanisms of drug response remain poorly understood. This preclinical study of tazemetostat in combination with doxorubicin shows differential outcomes in two INI1-deficient proximal-type EpS models, providing evidence of the heterogeneity that exists even within the same tumor subtype and fostering the need to better understand the molecular mechanisms driving drug sensitivity/resistance in this disease. In addition, we demonstrated the potential to treat EpS models through modulation of epigenetic mechanisms, showing that HDAC inhibition may restore sensitivity to EZH2-targeted therapy. These findings support the rationale for developing combination strategies incorporating epigenetic modulators and provide a preclinical framework for overcoming resistance to current therapies in EpS.

cancer biology↗

bioRxiv2021

Whole Genome and Exome Sequencing Reference Datasets from A Multi-center and Cross-platform Benchmark Study

With the rapid advancement of sequencing technologies in the past decade, next generation sequencing (NGS) analysis has been widely applied in cancer genomics research. More recently, NGS has been adopted in clinical oncology to advance personalized medicine. Clinical applications of precision oncology require accurate tests that can distinguish tumor-specific mutations from errors or artifacts introduced during NGS processes or data analysis. Therefore, there is an urgent need to develop best practices in cancer mutation detection using NGS and the need for standard reference data sets for systematically benchmarking sequencing platforms, library protocols, bioinformatics pipelines and for measuring accuracy and reproducibility across platforms and methods. Within the SEQC2 consortium context, we established paired tumor-normal reference samples, a human triple-negative breast cancer cell line and a matched normal cell line derived from B lymphocytes. We generated whole-genome (WGS) and whole-exome sequencing (WES) data using 16 NGS library preparation protocols, seven sequencing platforms at six different centers. We systematically interrogated somatic mutations in the paired reference samples to identify factors affecting detection reproducibility and accuracy in cancer genomes. These large cross-platform/site WGS and WES datasets using well-characterized reference samples will represent a powerful resource for benchmarking NGS technologies, bioinformatics pipelines, and for the cancer genomics studies.

bioinformatics↗

bioRxiv2019

Establishing reference samples for detection of somatic mutations and germline variants with NGS technologies

We characterized two reference samples for NGS technologies: a human triple-negative breast cancer cell line and a matched normal cell line. Leveraging several whole-genome sequencing (WGS) platforms, multiple sequencing replicates, and orthogonal mutation detection bioinformatics pipelines, we minimized the potential biases from sequencing technologies, assays, and informatics. Thus, our \"truth sets\" were defined using evidence from 21 repeats of WGS runs with coverages ranging from 50X to 100X (a total of 140 billion reads). These \"truth sets\" present many relevant variants/mutations including 193 COSMIC mutations and 9,016 germline variants from the ClinVar database, nonsense mutations in BRCA1/2 and missense mutations in TP53 and FGFR1. Independent validation in three orthogonal experiments demonstrated a successful stress test of the truth set. We expect these reference materials and \"truth sets\" to facilitate assay development, qualification, validation, and proficiency testing. In addition, our methods can be extended to establish new fully characterized reference samples for the community.

bioinformatics↗