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Biology subjects

MacBeth, M. L.

Publications and source records attributed to MacBeth, M. L..

4 recordsLinked to original sources

Decitabine reverses innate immune gene suppression in rare melanomas

Rare melanoma subtypes, including acral, mucosal, and uveal melanomas, exhibit limited responses to immune checkpoint inhibitors (ICIs), yet the molecular mechanisms of immune resistance remain poorly defined. Here, we performed transcriptomic profiling of patient-derived xenografts (PDXs) and publicly available tumor datasets to systematically compare intratumoral gene expression across cutaneous and rare melanoma subtypes. We identified a convergent downregulation of innate immune pathogen sensing (IIPS) and type I interferon signaling pathways in rare melanomas compared to cutaneous, with lower expression also observed in anti-PD-1 non-responder tumors. CIBERSORT deconvolution of immune populations revealed that lower IIPS gene-expressing tumors exhibited reduced CD8 T cell and memory CD4 T cell infiltration, and enrichment of M2 macrophages, consistent with a more immunosuppressive tumor microenvironment. In vitro screening of epigenetic and immunomodulatory compounds revealed that the DNA hypomethylating agent decitabine robustly induced IIPS and adaptive immune gene expression in rare melanoma cell lines. In vivo treatment of mucosal and uveal melanoma xenograft models with decitabine resulted in durable upregulation of IIPS and antigen presentation genes, and whole transcriptome analysis confirmed that IIPS gene re-expression was the dominant transcriptional consequence of decitabine treatment. These findings highlight silencing of IIPS genes as a recurrent immune evasion mechanism in rare melanomas and nominate decitabine as a potential immunomodulatory strategy for enhancing immune responsiveness.

cancer biology↗

Integrative Multi-Omics Analysis of Melanoma: Uncovering Pathways Associated with Immunotherapy Outcomes

PurposeThe treatment of advanced malignant melanoma with immune checkpoint blockade (ICB) therapies such as anti-CTLA4 and anti-PD1 has been transformative, yet a significant proportion of patients demonstrate intrinsic resistance or develop severe immune-related adverse events (irAEs), complicating treatment strategies. This study aimed to integrate clinical and molecular data using multi-omics factor analysis (MOFA) To better understand the multifaceted interactions governing ICB resistance and irAE development. MethodsMelanoma patient-derived xenograft tumors with transcriptomic and microbiome data were analyzed using the MOFA2 R package. Simulations assessed MOFA2s performance with small sample sizes. Transcriptomic and microbiome data were normalized and analyzed with MOFA2, and gene set enrichment analysis (GSEA) was performed. ResultsMOFA2 demonstrated robust performance with small sample sizes in simulations and accurately recapitulated findings from published data. Analysis identified five latent factors associating the tumor transcriptome, tumor microbiome, or both with differences in tumor subtypes, ICB response, and specific irAEs. GSEA highlighted pathways related to oxidative phosphorylation, DNA replication, and immune responses. ConclusionIntegrative analysis of multi-omics data using MOFA2 provides insights into melanoma biology, uncovering distinct molecular pathways underlying clinical phenotypes. These insights contribute to our understanding of the complex biological mechanisms contributing to differences in melanoma clinical and tumor characteristics and treatment response, offering potential insight towards future development of more personalized and effective diagnostic, prognostic, and therapeutic strategies for patients. Context SummaryThis study aims to integrate multi-omics data, specifically transcriptomic and microbiome datasets, using the MOFA2 computational framework, to understand the complex interplay driving melanoma heterogeneity and response to immune checkpoint blockade (ICB) therapy. The study demonstrates that MOFA2 performs effectively even with small sample sizes, successfully capturing factors that distinguish tumor subtypes, ICB response, and immune-related adverse events (irAEs). It identifies associations between molecular features and clinical outcomes, shedding light on potential mechanisms underlying melanoma pathogenesis and treatment response. By integrating clinical and molecular data, the findings offer insights into the biological underpinnings of melanoma treatment response. Understanding these mechanisms could inform the development of more effective diagnostic, prognostic, and therapeutic strategies for melanoma patients, moving towards personalized oncology approaches.

bioinformatics↗

Targeting BRAF kinase fusions with pan-RAF and vertical MAPK inhibition

BRAF kinase fusions are a form of structural variation in the genome and are recurrent events in driver-negative melanomas. While BRAF fusions reproducibly conserve the kinase domain, there is genetic variability with 5 gene partners and specific BRAF breakpoints. We investigated how genetic diversity of BRAF kinase fusions affects dimeric signaling and ERK activation. We overexpressed BRAF fusions with 5 gene partners including AGK, ZKSCAN1, ARMC10, PPFIBP2, and TRIM24 and found fusion dependent signaling and inhibitor sensitivity. Despite the development of next generation RAF inhibitors, there was paradoxical ERK phosphorylation with multiple pan-RAF inhibitors, which was ameliorated in certain BRAF fusions with vertical RAF/MEK inhibition using trametinib and LY3009120. Collectively, we observed some fusion-dependent effects but also tumor growth suppression and resolution of paradoxical activation with vertical pathway inhibition.

cancer biology↗

Profiling serum oxylipin metabolites across melanoma subtypes and immunotherapy responders

ObjectivesThis study investigates the relationship between serum oxylipin profiles and response to immune checkpoint inhibitor therapy in melanoma subtypes to identify potential metabolic biomarkers for treatment response. MethodsIn a retrospective cohort study, serum samples from 43 stage III and stage IV melanoma patients treated at the University of Colorado Hospital from 2010 to 2023 were analyzed via ultra-high-pressure liquid chromatography-mass spectrometry. Melanoma patients were treated anti-PD-1 monotherapy or combination immune checkpoint inhibitor therapy and response was assessed using RECIST 1.1 criteria. ResultsUsing mass spectroscopy, we determined global oxylipin metabolite profiles are largely uniform pre-and post-treatment across melanoma subtypes including cutaneous, acral, mucosal, and uveal melanoma. Across subtypes, 33 oxylipin metabolites were analyzed, with limited variation observed overall. Prostaglandin J2 was more abundant in rare melanoma subtypes including acral, mucosal, and uveal melanoma compared to cutaneous melanoma. ConclusionsDespite limited variation of serum oxylipin molecular species by subtype and response status, we observed significant differences in Prostaglandin J2 which could serve as a potential biomarker for immune checkpoint inhibitor therapy response in melanoma. However, further investigation is warranted to explore the role of oxylipins in immune response modulation.

cancer biology↗