Author

Andrea G. S. Pepper

Brighton and Sussex Medical SchoolORCID 0000-0001-9795-1280Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Systems Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:drug response / drug discovery· 3 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:comparative / phylogenetic analysis· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Chris J. PepperiD· 4 shared Simon A. MitchelliD· 4 shared Fabio A. SimoesiD· 3 shared Aimilia VareliiD· 2 shared Emma KennedyiD· 2 shared John R JonesiD· 2 shared Lauren StottiD· 2 shared Timothy J. T. ChevassutiD· 2 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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4 shared papersCancer Biology

Chris J. PepperORCID

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Cancer BiologyCell Death and DiseasePeer-reviewedAug 16, 2025

Systems biology-enabled targeting of NF-κB and BCL2 overcomes microenvironment-mediated BH3-mimetic resistance in DLBCL.

Aimilia Vareli, Haripriya Vaidehi Narayanan, Heather Clark…·Simon A. Mitchell

This study identifies resistance mechanisms to BH3-mimetics in DLBCL and shows that combining BCL2 inhibition with non-canonical NF-κB inhibition overcomes microenvironment-mediated resistance.

7 citations

humanflow cytometry

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Cancer BiologyCancersPeer-reviewedJan 3, 2025

A novel in-vitro model of the bone marrow microenvironment in AML identifies CD44 and Focal Adhesion Kinase as therapeutic targets to reverse cell adhesion-mediated drug resistance

Eleni E Ladikou, K. Sharp, Fabio A. Simoes…·Andrea G. S. Pepper

This study identifies CD44 and FAK as therapeutic targets to reverse adhesion-mediated drug resistance in AML by developing an in-vitro BMME model and testing their synergistic effects.

4 citations

humanbulk RNA-seq

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Systems BiologyBlood Cancer JournalPeer-reviewedJul 4, 2024

Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data.

Richard Norris, John R Jones, Erika J. Mancini…·Simon A. Mitchell

8 citations

humanwhole-exome sequencing

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Systems Biologynpj Systems Biology and ApplicationsPeer-reviewedJun 6, 2023

Computational modeling of DLBCL predicts response to BH3-mimetics.

Ielyaas Cloete, Victoria M. Smith, Ross A. Jackson…·Simon A. Mitchell

This study uses computational systems biology to predict DLBCL cell response to BH3-mimetics by modeling molecular variability and genetic lesions.

7 citations

humanstatistical model

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