Author

Jason J. Luke

University of PittsburghORCID 0000-0002-1182-4908Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Assay:whole-exome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Brian Robert IsettiD· 2 shared Carl Kim· 2 shared Carly ReederiD· 2 shared Dan Paul ZandbergiD· 2 shared Heath Devin SkinneriD· 2 shared Katelyn Smith· 2 shared Krishna Beer SinghiD· 2 shared Lazar N. VujanoviciD· 2 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

Brian Robert IsettORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Integrative multi-omic analysis identifies tumor-intrinsic p38 as a driver of immune exclusion in human epithelial cancers

Rebekah Dadey, Krishna Beer Singh, Rose Doerfler, Riley Santiago, Brian Robert Isett, Christopher Deitrick, Carl Kim, Sarah Newman, Marion Joy, Katelyn Smith, Carly Reeder, Armando P. Signore, Ernest Michael Meyer, Tullia Carmela Bruno, Aditi Kulkarni, , Riyue Bao

This study identifies tumor-intrinsic p38 activation as a driver of immune exclusion in epithelial cancers and suggests it as a therapeutic target to overcome immunotherapy resistance.

bioRxiv · Jun 16, 2026 · PreprintCancer Biology

Integrating Artificial Intelligence-Driven Digital Pathology and Genomics to Establish Patient-Derived Organoids as a Novel Alternative Model for Drug Response in Head and Neck Cancer

Rose Doerfler, Jie Chen, Carl Kim, Joshua D. Smith, Micah K. Harris, Krishna Beer Singh, Brian Robert Isett, Rebekah Dadey, Daniel D. Brown, Adrian V. Lee, Xuefeng Wang, Matthew E. Spector, Seungwon Kim, Shaum Sridharan, Kevin J. Contrera, , Riyue Bao

This study establishes patient-derived organoids (PDOs) for HNSCC drug response testing, integrating AI-driven histopathology and multi-omics analysis to create a scalable preclinical model.

bioRxiv · Jun 24, 2025 · PreprintCancer Biology

Tumor Neoantigenicity Assessment with CSiN Score Incorporates Clonality and Immunogenicity to Predict Immunotherapy Outcomes

Tianshi Lu, Shidan Wang, Lin Xu, Qinbo Zhou, Nirmish Singla, Jianjun Gao, Subrata Manna, Laurentiu M. Pop, Zhiqun Xie, Mingyi Chen, Jason J. Luke, James Brugarolas, Raquibul Hannan, Tao Wang

The paper introduces the CSiN score to predict immunotherapy outcomes by assessing tumor neoantigen quality through clonality and immunogenicity, showing improved performance over existing methods.

Science Immunology · Feb 14, 2020Peer-reviewedBioinformatics