Christopher Wardell

Assistant Professor

University of Arkansas for Medical Sciences

United States

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Christopher Wardell is an Assistant Professor at the University of Arkansas for Medical Sciences, USA. His research encompasses various areas including automated image segmentation in CT scans, genomic and transcriptomic profiling in cancer, and the evolutionary pathways of multiple myeloma. Recent publications reflect his focus on structural variants and their clinical implications, as well as innovations in precision medicine for glioblastoma treatment.

Articles (11)

Year:

2025

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

Year:

2021

Collaborators (9)

Brian Walker

Indiana State University

UNITED STATES

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Michael Bauer

Assitstant Professor

UNITED STATES

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Michael Rutherford

University of Arkansas for Medical Sciences

UNITED STATES

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Teresa DesRochers

Chief Scientific Officer

Kiyatec (United States)

UNITED STATES

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Sofie Salama

Professor

University of California, Santa Cruz

UNITED STATES

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Hiroaki Taniguchi

Associate Professor

Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences

POLAND

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Cody Ashby

Assistant Professor

University of Arkansas for Medical Sciences

UNITED STATES

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Piotr Poznański

Adjunct Professor

Institute of Genetics and Animal Breeding

POLAND

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Analiz Rodriguez

University of Arkansas for Medical Sciences

UNITED STATES

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Christopher Wardell

Research Interests

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About

Articles (11)

Evaluating Skellytour for Automated Skeleton Segmentation from Whole-Body CT Images

Structural variants shape the genomic landscape and clinical outcome of multiple myeloma

Plasma cells expression from smouldering myeloma to myeloma reveals the importance of the PRC2 complex, cell cycle progression, and the divergent evolutionary pathways within the different molecular subgroups

Oncogenic Mutation BRAF V600E Changes Phenotypic Behavior of THLE-2 Liver Cells through Alteration of Gene Expression

Mutations in CRBN and other cereblon pathway genes are infrequently associated with acquired resistance to immunomodulatory drugs

The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma

FiNGS: high quality somatic mutations using filters for next generation sequencing

A functional precision medicine pipeline combines comparative transcriptomics and tumor organoid modeling to identify bespoke treatment strategies for glioblastoma

Differential RNA splicing as a potentially important driver mechanism in multiple myeloma

Genomic and transcriptomic profiling of brain metastases

High-risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse

Collaborators (9)

Brian Walker

Michael Bauer

Michael Rutherford

Teresa DesRochers

Sofie Salama

Hiroaki Taniguchi

Cody Ashby

Piotr Poznański

Analiz Rodriguez

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