Vail, P. | Search bioRxiv

bioRxiv2019

Targeting dual signaling pathways in concert with immune checkpoints for the treatment of pancreatic cancer

Pancreatic cancer harbors a poor prognosis due to the lack of effective systemic therapies. Here we interrogated means to target key effector pathways down-stream from KRAS. We found that combination treatment with MEK and CDK4/6 inhibitors was effective across a broad range of PDX models in delaying tumor progression. These effects were associated with stable cell cycle arrest, as well as the induction of multiple genes associated with interferon response and antigen presentation in an RB-dependent fashion. Using single cell sequencing and complementary approaches, we found that the combination of CDK4/6 and MEK inhibition had a significant impact on increasing T-cell infiltration and altering myeloid populations, while potently cooperating with immune checkpoint inhibitors. Together, these data indicate that there are canonical and non-canonical features of CDK4/6 and MEK inhibition that impact on the tumor and host that can contribute to durable control for tumors in combination with immune checkpoint inhibitor therapy.

cancer biology↗

bioRxiv2018

Interrogating Mutant Allele Expression via Customized Reference Genomes to Define Influential Cancer Mutations

Genetic alterations are essential for cancer initiation and progression. However, differentiating mutations that drive the tumor phenotype from mutations that do not affect tumor fitness remains a fundamental challenge in cancer biology. To better understand the impact of a given mutation within cancer, RNA-sequencing data was used to categorize mutations based on their allelic expression. For this purpose, we developed the MAXX (Mutation Allelic Expression Extractor) software, which is highly effective at delineating the allelic expression of both single nucleotide variants and small insertions and deletions. Results from MAXX demonstrated that mutations can be separated into three groups based on their expression of the mutant allele, lack of expression from both alleles, or expression of only the wild-type allele. By taking into consideration the allelic expression patterns of genes that are mutated in PDAC, it was possible to increase the sensitivity of widely used driver mutation detection methods, as well as identify subtypes that have prognostic significance and are associated with sensitivity to select classes of therapeutic agents in cell culture. Thus, differentiating mutations based on their mutant allele expression via MAXX represents a means to parse somatic variants in tumor genomes, helping to elucidate of a genes respective role in cancer.

cancer biology↗