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Biology subjects

Halaban, R.

Publications and source records attributed to Halaban, R..

3 recordsLinked to original sources

HaloPROTAC-mediated degradation reveals SOX10-dependent gene expression changes in melanoma cells

The transcription factor SOX10 is required for melanoma cell proliferation. However, SOX10 expression in single cells is heterogeneous, and low SOX10-expressing cells exhibit a dormant-invasive phenotype associated with drug resistance and metastasis. Despite longstanding interest in SOX10 as a diagnostic marker and potential therapeutic target in melanoma, the molecular mechanism and targets of SOX10 remain incompletely understood. New tools for the study and perturbation of SOX10 in cancer-relevant systems are needed to address these gaps in our knowledge. In this study, we engineered a patient-derived WW165 melanoma cell line for programmable SOX10 targeted proteolysis. We achieved this by replacing the endogenous copies of SOX10 with a SOX10-HaloTag transgene that supports cell growth, but can be rapidly degraded by the ubiquitin-proteasome system upon with a commercially available HaloPROTAC3 degrader molecule. We demonstrate that inducible degradation of SOX10-HaloTag faithfully recapitulates the known SOX10 transcriptional program, while also enabling discovery of SOX10 target genes previously undetected with standard genetic silencing approaches. We validated NAV2 and NCKAP5 as novel genes that are directly bound by SOX10 and coregulated with SOX10 expression in a patient cohort. This study demonstrates that new biological insights into the function of SOX10 can be enabled by targeted degradation and suggests that analogous approaches could prove powerful in the study of other transcription factors. We further suggest that the SOX10-HaloTag expressing melanoma cell line developed in this study could find further applications in investigating the consequences of SOX10 targeted degradation in vitro and in vivo.

biochemistry↗

Clonal determinants of organotropism and survival in metastatic uveal melanoma

Uveal melanoma (UM), the most common intraocular primary cancer in adults, demonstrates a unique proclivity for liver metastasis. To understand the molecular underpinnings of this organotropism, we analyzed the genomic features of liver and extrahepatic UM metastases, identifying distinct molecular signatures that mirror the clonal diversity in primary UM tumors. Liver metastases were enriched in BAP1 mutations and exhibited a higher prevalence of monosomy 3 compared to extrahepatic metastases. Analysis of the tumor-liver microenvironment crosstalk at the single-cell level underscored a significant role for hepatic stellate cells in facilitating UM growth and establishment in the liver. Notably, within the primary tumor, clones that demonstrated a high affinity for the liver, compared to those with low liver affinity, exhibited a distinct transcriptional profile characterized by the upregulation of pathways that activate hepatic stellate cells, specifically involving TGF-{beta} signaling, cytokine signaling, extracellular matrix remodeling, and angiogenesis. Liver-tropic clones displayed not only an increased affinity for liver colonization but were also associated with worse survival outcomes, underscoring the adverse prognostic significance of hepatic metastases in UM. Our findings demonstrate that trajectories of metastatic dissemination and patient survival in UM are established early in the primary tumors evolution, opening pathways for the development of targeted therapeutic interventions to improve patient outcomes.

cancer biology↗

Methods for detecting co-mutated pathways in cancer samples to inform treatment selection

Tumor genomes evolve through a selection of mutations. These mutations may complement each other to promote tumorigenesis. To better understand the functional interactions of different processes in cancer, we studied mutation data of a set of tumors and identified significantly co-mutated pathways. Fishers exact test is a standard approach that can be used to assess the significance of the joint dysregulation of pathways pairs across a patient population. We developed a robust test to identify co-occurrence using DNA mutations, which overcomes deficiencies of the Fishers exact test by taking into account the large variability in overall mutation load and sequencing depth. Applying our method to a study of six common cancer types, we identify enrichment of co-mutated signal transduction pathways such as IP3 synthesis and PI3K and pairs of co-mutated pathways involving other processes such as immunity and development. We observed enrichment of clonal co-mutation of the proteasome and apoptosis pathways in colorectal cancer, which suggests potential mechanisms for immune evasion.

bioinformatics↗