Biology subjects

Williams, K. B.

Publications and source records attributed to Williams, K. B..

6 recordsLinked to original sources

bioRxiv2026

Biomarker-driven and gene-enhanced viral therapy for malignant peripheral nerve sheath tumor

Background: High-grade malignant peripheral nerve sheath tumors (MPNST) frequently lose Polycomb Repressive Complex 2 (PRC2), reducing the repressive histone mark, H3K27me3. We hypothesized that H3K27me3 loss sensitizes MPNST to oncolytic HSV due to impaired transcriptional resistance. HSV replication is also restricted by the integrated stress response, normally countered by HSV ICP34.5, representing an additional resistance pathway to ICP34.5-attenuated HSV. Methods: PRC2 loss-of-function was evaluated as a biomarker of HSV G47{Delta} ({Delta}ICP34.5) susceptibility in MPNST using isogenic, pharmacologic inhibition, and genetic rescue models. CUT&RUN and RNA-sequencing defined PRC2-dependent viral and host responses. We engineered a G47{Delta}-derived vector (G47{Delta}2) with tumor-regulated ICP34.5 expression [G47{Delta}2,ins(BIRC5>ICP34.5)] and evaluated efficacy in MPNST xenografts. Results: H3K27me3 deficiency increased G47{Delta} sensitivity and viral spread in vitro. CUT&RUN demonstrated PRC2-dependent H3K27me3 accumulation on the viral genome, explaining G47{Delta} activity in H3K27me3-deficient MPNST. RNA sequencing of G47{Delta} infected MPNST cells revealed heightened integrated stress response activity and blunted induction of translation-associated programs in the PRC2-deficient state (both p<0.001), consistent with compensatory resistance at the level of viral protein translation. Accordingly, tumor-regulated ICP34.5 HSV limited daily tumor-volume growth to 0.6% (95% CI, -2.9-4.2%), improving upon both G47{Delta}2 (8.3%; 4.5-12.2%) and controls (22.5%; 17.4-27.8%). A murine gastrointestinal toxicity phenotype reduced all-cause event-free survival, indicating vector and dosing optimizations are needed to widen the therapeutic window. Conclusions: H3K27me3 loss creates a paradoxical antiviral state that tumor-selective ICP34.5 overcomes to rescue HSV anti-tumor activity, supporting biomarker-driven viral engineering to exploit the permissive transcriptional state of H3K27me3-deficient MPNSTs.

cancer biology↗

bioRxiv2026

Integrated ex vivo screening and transcriptomic profiling to prioritize drug combinations for rare cancers

Discovering effective drug combinations requires testing many dose combinations across a diverse panel of tumor models. This approach is limited in rare cancers by a scarcity of cell lines and representative high-throughput models that would make exhaustive screening feasible and predictive. Patient-derived xenograft (PDX) models are genomically representative but too low-throughput for this purpose. Culturing PDX cells ex vivo in three-dimensional (3D) matrices offers a genomically representative and clinically relevant platform for preclinical drug testing, capturing the microenvironmental cues that shape in vivo drug response while requiring only limited tissue per assay. Toward this end, we designed and validated an experimental-computational framework, "ex vivo assessment of combination therapies" (EXACT), to enable drug combination discovery in rare tumors. Using PDX models of malignant peripheral nerve sheath tumors (MPNST), we built a platform to culture PDX cells ex vivo over multiple days, monitoring drug sensitivity and measuring transcriptomic responses to treatment. Computational analysis of these transcriptomic responses then identifies which compensatory pathway creates a unique vulnerability to a second drug. EXACT thus offers a biologically informed, scalable approach for prioritizing drug combinations in rare tumors, nominating drugs alongside biological rationale. Using this methodology, we identified a MEK inhibitor plus HDAC inhibitor combination with enhanced activity in vitro and in vivo, forming the basis of an active clinical trial. This platform could be adapted for real-time use with primary patient specimens, enabling personalized therapeutic discovery. SignificanceEXACT integrates PDX-derived 3D drug screening with biologically informed computational analysis to identify and explain effective combinations, providing a scalable strategy for therapeutic discovery in rare cancers such as MPNST.

cancer biology↗

bioRxiv2024

The assessment of therapeutic autophagy inhibition in NF1 mutated tumor cells

MAPK pathway activation is found across central nervous system tumors. Neurofibromin 1 (NF1) protein is a GTPase-activating protein and tumor suppressor that negatively regulates RAS protein activity. A NF1 loss of function mutation results in MAPK pathway upregulation and is associated with pediatric gliomas. We previously demonstrated autophagy inhibition improves tumor response to BRAF inhibition. Here we investigate the role of autophagy in NF1 cells in the presence or absence of MEK inhibition (MEKi). NF1 wild type (WT) and NF1 knockout (KO) (HSC1{lambda}, immortalized human Schwann) cells were evaluated. NF1 loss was confirmed, and cell growth was monitored by Incucyte. MAPK/ERK pathway upregulation and autophagy were evaluated via Western blot analysis and RAS pull-down. Effects of MEKi, autophagy inhibition (pharmacologic and genetic), and combination therapy were evaluated via short- and long-term growth assays. NF1 KO cells exhibited MAPK pathway upregulation and increased growth. Additionally, NF KO cells demonstrated increased autophagic activity. Loss of NF1 resulted in increased sensitivity to MEKi and autophagy inhibition alone and in combination. We also demonstrate that the autophagy inhibitor chloroquine (CQ) can improve MEKi sensitivity in a patient harboring a somatic mutation of NF1. This combination is currently being evaluated in clinical trial (NCT04201457).

cancer biology↗

bioRxiv2024

Pharmacogenomic synthetic lethal screens reveal hidden vulnerabilities and new therapeutic approaches for treatment of NF1-associated tumors

Neurofibromatosis Type 1 (NF1) is a common cancer predisposition syndrome, caused by heterozygous loss of function mutations in the tumor suppressor gene NF1. Individuals with NF1 develop benign tumors of the peripheral nervous system (neurofibromas), originating from the Schwann cell linage after somatic loss of the wild type NF1 allele, some of which progress further to malignant peripheral nerve sheath tumors (MPNST). There is only one FDA approved targeted therapy for symptomatic plexiform neurofibromas and none approved for MPNST. The genetic basis of NF1 syndrome makes associated tumors ideal for using synthetic drug sensitivity approaches to uncover therapeutic vulnerabilities. We developed a drug discovery pipeline to identify therapeutics for NF1-related tumors using isogeneic pairs of NF1-proficient and deficient immortalized human Schwann cells. We utilized these in a large-scale high throughput screen (HTS) for drugs that preferentially kill NF1-deficient cells, through which we identified 23 compounds capable of killing NF1-deficient Schwann cells with selectivity. Multiple hits from this screen clustered into classes defined by method of action. Four clinically interesting drugs from these classes were tested in vivo using both a genetically engineered mouse model of high-grade peripheral nerve sheath tumors and human MPNST xenografts. All drugs tested showed single agent efficacy in these models as well as significant synergy when used in combination with the MEK inhibitor Selumetinib. This HTS platform yielded novel therapeutically relevant compounds for the treatment of NF1-associated tumors and can serve as a tool to rapidly evaluate new compounds and combinations in the future.

cancer biology↗

bioRxiv2023

Perinatal folate levels do not influence tumor latency or multiplicity in a model of NF1 associated plexiform-like neurofibromas

ObjectiveIn epidemiological and experimental research, high folic acid intake has been demonstrated to accelerate tumor development among populations with genetic and/or molecular susceptibility to cancer. Neurofibromatosis type 1 (NF1) is a common autosomal dominant disorder predisposing affected individuals to tumorigenesis, including benign plexiform neurofibromas; however, understanding of factors associated with tumor risk in NF1 patients is limited. Therefore, we investigated whether pregestational folic acid intake modified plexiform-like peripheral nerve sheath tumor risk in a transgenic NF1 murine model. ResultsWe observed no significant differences in overall survival according to folate group. Relative to controls (180 days), median survival did not statistically differ in deficient (174 days, P=0.56) or supplemented (177 days, P=0.13) folate groups. Dietary folate intake was positively associated with RBC folate levels at weaning, (P=0.023, 0.0096, and 0.0006 for deficient vs. control, control vs. supplemented, and deficient vs. supplemented groups, respectively). Dorsal root ganglia (DRG), brachial plexi, and sciatic nerves were assessed according to folate group. Mice in the folate deficient group had significantly more enlarged DRG relative to controls (P=0.044), but no other groups statistically differed. No significant differences for brachial plexi or sciatic nerve enlargement were observed according to folate status.

cancer biology↗

bioRxiv2022

Ex vivo to in vivo model of malignant peripheral nerve sheath tumors for precision oncology

Malignant peripheral nerve sheath tumors (MPNST) are aggressive soft tissue sarcomas that often develop in patients with neurofibromatosis type 1 (NF1-MPNST), but can occur sporadically. Through a multi-institution collaboration, we have developed 13 NF1-associated MPNST patient-derived xenografts (PDX). Genomic analysis of the PDX-tumor pairs identified somatic mutations in NF1 (61%), SUZ12 (61%), EED (15%), and TP53 (15%), and chromosome 8 (Chr8) gain (77%), consistent with published data. Pre-clinical models that capture this molecular heterogeneity are needed to identify and prioritize effective drug candidates for clinical translation. Here, we describe the successful development of a medium-throughput ex vivo 3D microtissue model with several advantages over 2D cell line growth, which can be utilized to predict drug response in vivo. Herein, we present proof-of-principle of this PDX-to-microtissue system, using four genomically representative MPNST and three drugs. This work highlights the development of a novel ex vivo to in vivo preclinical platform in MPNST that successfully captures the genomic diversity observed in patients and represents a resource to identify future therapeutic strategies.

cancer biology↗