Biology subjects

Husted, C.

Publications and source records attributed to Husted, C..

4 recordsLinked to original sources

bioRxiv2026

Multi-omic Longitudinal Analysis of Canine Osteosarcoma Identifies Inter-Patient Heterogeneity and Immune Enrichment in Metastatic Lesions

Osteosarcoma (OS) exhibits substantial genomic complexity and inter-patient heterogeneity, necessitating longitudinal, patient-matched analyses to understand acquired features of tumor evolution. However, most published OS data is limited to primary tumor samples, limiting insight into patient-specific resistance mechanisms. To address this, we characterized the genomic landscape of paired primary and metastatic tumor samples from dogs with spontaneous OS. Whole-genome and single-cell RNA sequencing reveal mutation and gene expression profiles that are predominantly organized by patient identity. Mutational burden and pathway alterations such as those involving PI3K, NOTCH, TP53, MAPK, RAS and epigenetic regulation differ between primary and metastatic samples. Variants present in tumor tissue are readily detectable in paired cfDNA samples, demonstrating the utility of this assay for identifying tumor-specific alterations associated with treatment resistance. Analysis of bulk RNA-seq data to estimate cell-type composition shows greater immune cell representation in metastases, underscoring the importance of immune signaling pathways in OS. These findings exemplify the presence of patient-specific alterations in genomic architecture over the course of tumor progression, linking CNV amplification, pathway reprogramming, and immune evasion in metastatic OS.

genomics↗

bioRxiv2025

Population genetics, trait mapping and fungal pathogen surveillance using untargeted sequencing in timber rattlesnakes (Crotalus horridus)

Timber rattlesnakes (Crotalus horridus) face escalating threats in the Northeastern Appalachians, including habitat fragmentation, human encroachment, and the fungal pathogen Ophidiomyces ophiodiicola. Using untargeted sequencing of DNA extracted from scale clips, we generated both host whole-genome and metagenomic data for 97 snakes from eight populations. Analysis of the snake genomes shows the populations surveyed exhibit relatively low levels of inbreeding and are genetically distinct, but that the degree of separation correlates only weakly with geographic distance. A genome-wide association analysis identified a locus associated with black-to-yellow color variation that contains an aldehyde dehydrogenase gene (ALDH4A1) related to genes involved in hair color differences in humans. Metagenomic analysis showed that O. ophiodiicola read counts were generally higher in snakes exhibiting clinical signs of Snake Fungal Disease, but some visually asymptomatic snakes had high pathogen loads. Together, these findings highlight the dual utility of untargeted sequencing for population genetics and pathogen surveillance, providing a foundation for future studies of adaptation, disease dynamics, and conservation in this declining species.

genomics↗

bioRxiv2025

The shared selection landscape of dog and human cancers

Cancers in pet dogs are prevalent, progress rapidly, and closely resemble human cancers, positioning them as powerful models for precision oncology. While genetic drivers of human cancer often transcend histologic boundaries, most comparative studies have focused on matched cancer types, leaving the broader scope of genomic similarity unresolved. We performed the first exome-wide, histology-agnostic comparison of canine and human cancers, analyzing 429 dog and 14,966 human tumors across 39 types. Mutational signatures and genes under selection are widely shared between species, and cancer types are as genomically similar between species as within species, with no greater similarity within dog breeds than between breeds. Machine-learning models identify genetic features shared by dog and human tumors of different histologies, mirroring cross-histology patterns in human cancer. These findings establish dog cancer as a powerful system for genomics-informed precision oncology and support pan-cancer approaches to discover translationally relevant models beyond histologic classification.

cancer biology↗

bioRxiv2024

Impact of preanalytical factors on liquid biopsy in the canine cancer model

While liquid biopsy has potential to transform cancer diagnostics through minimally-invasive detection and monitoring of tumors, the impact of preanalytical factors such as the timing and anatomical location of blood draw is not well understood. To address this gap, we leveraged pet dogs with spontaneous cancer as a model system, as their compressed disease timeline facilitates rapid diagnostic benchmarking. Key liquid biopsy metrics from dogs were consistent with existing reports from human patients. The tumor content of samples was higher from venipuncture sites closer to the tumor and from a central vein. Metrics also differed between lymphoma and non-hematopoietic cancers, urging cancer-type-specific interpretation. Liquid biopsy was highly sensitive to disease status, with changes identified soon after post chemotherapy administration, and trends of increased tumor fraction and other metrics observed prior to clinical relapse in dogs with lymphoma or osteosarcoma. These data support the utility of pet dogs with cancer as a relevant system for advancing liquid biopsy platforms.

genomics↗