Biology subjects

Balestrieri, C.

Publications and source records attributed to Balestrieri, C..

3 recordsLinked to original sources

bioRxiv2024

WRAD core perturbation impairs DNA replication fidelity promoting immunoediting in pancreatic cancer

It is unclear how cells counteract the potentially harmful effects of uncoordinated DNA replication in the context of oncogenic stress. Here, we identify the WRAD (WDR5/RBBP5/ASH2L/DPY30) core as a modulator of DNA replication in pancreatic ductal adenocarcinoma (PDAC) models. Molecular analyses demonstrated that the WRAD core interacts with the replisome complex, with disruption of DPY30 resulting in DNA re-replication, DNA damage, and chromosomal instability (CIN) without affecting cancer cell proliferation. Consequently, in immunocompetent models, DPY30 loss induced T cell infiltration and immune-mediated clearance of highly proliferating cancer cells with complex karyotypes, thus improving anti-tumor efficacy upon anti-PD-1 treatment. In PDAC patients, DPY30 expression was associated with high tumor grade, worse prognosis, and limited response to immune checkpoint blockade. Together, our findings indicate that the WRAD core sustains genome stability and suggest that low intratumor DPY30 levels may identify PDAC patients who will benefit from immune checkpoint inhibitors.

cancer biology↗

bioRxiv2023

Scalable Integration of Multiomic Single Cell Data Using Generative Adversarial Networks

Single cell profiling has become a common practice to investigate the complexity of tissues, organs and organisms. Recent technological advances are expanding our capabilities to profile various molecular layers beyond the transcriptome such as, but not limited to, the genome, the epigenome and the proteome. Depending on the experimental procedure, these data can be obtained from separate assays or from the very same cells. Despite development of computational methods for data integration is an active research field, most of the available strategies have been devised for the joint analysis of two modalities and cannot accommodate a high number of them. To solve this problem, we here propose a multiomic data integration framework based on Wasserstein Generative Adversarial Networks (MOWGAN) suitable for the analysis of paired or unpaired data with high number of modalities (>2). At the core of our strategy is a single network trained on all modalities together, limiting the computational burden when many molecular layers are evaluated. Source code of our framework is available at https://github.com/vgiansanti/MOWGAN.

bioinformatics↗

bioRxiv2018

WDR5 regulates epithelial-to-mesenchymal transition in breast cancer cells via TGFB

Even if the mortality rate in breast cancer (BC) has recently decreased, development of metastases and drug resistance are still challenges to successful systemic treatment. The epithelial-to-mesenchymal transition (EMT), as well as epigenetic dynamic modifications, plays a pivotal role in invasion, metastasis, and drug resistance. Here, we report that WDR5, the core subunit of histone H3 K4 methyltransferase complexes, is crucial in coordinating EMT and regulating epigenetic changes that drive metastasis. We show that silencing of WDR5 in BC up-regulates an epithelial signature in triple negative and luminal B like patients by transcriptional repression of mesenchymal genes and reduction of the metastatic properties of these cells. Moreover, we demonstrate that this regulation is mediated by inhibition of the TGF{beta} signaling both at the transcriptional and post-translational level, suggesting an active role of WDR5 in guiding tumor plasticity upon oncogenic insults, regardless of the pathological BC subtypes.\n\nWe therefore suggest that WDR5 inhibition could be a successful pharmacologic approach to inhibit EMT and sensitize breast cancer cells to chemotherapy.

cancer biology↗