Author

Konjit Betre

Oregon Health & Science UniversityORCID 0009-0000-3707-2508Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Katie E. BliseiD· 3 shared Lisa M. CoussensiD· 3 shared Nell C. KirchbergeriD· 3 shared Shamilene SivagnanamiD· 3 shared Colin J. DanieliD· 2 shared Jennifer R. EngiD· 2 shared Jonathan Robert BrodyiD· 2 shared Rosalie C. SearsiD· 2 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

Katie E. BliseORCID

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintDec 15, 2025

A window trial in metastatic pancreatic ductal adenocarcinoma reveals resistance mechanisms to targeting the KRAS-MEK pathway

Motoyuki Tsuda, Dove J. Keith, Colin J. Daniel…·Rosalie C. Sears

The paper identifies resistance mechanisms to KRAS-MEK pathway targeting in PDAC by analyzing clinical trial data and multi-omics profiles, showing that KRAS/MYC co-gain correlates with resistance and that co-targeting these genes is synergistic.

DOI 10.64898/2025.12.12.693851

humanbulk RNA-seq

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Cancer BiologyJournal for ImmunoTherapy of CancerPeer-reviewedNov 1, 2025

Post-transcriptional regulator HuR promotes immune evasion in pancreatic ductal adenocarcinoma

Yifei Guo, Jennifer M. Finan, Alexandra Q. Bartlett…·Robert L Eil

This study shows that HuR promotes immune evasion in PDAC by inhibiting T cell infiltration and function, suggesting HuR as a therapeutic target with immunotherapy.

DOI 10.1158/2326-6066.cir-26-0472

mousebulk RNA-seq

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Cancer BiologyCancer Immunology ResearchPeer-reviewedFeb 21, 2024

Machine learning links T cell function and spatial localization to neoadjuvant immunotherapy and clinical outcome in pancreatic cancer

Katie E. Blise, Shamilene Sivagnanam, Courtney B. Betts…·Katelyn T. Byrne

This study uses machine learning to analyze spatial proteomic data from pancreatic cancer patients, linking T cell function and localization to neoadjuvant CD40 therapy and clinical outcomes.

33 citationstop 3%

humanproteomics

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