Author

Caroline Dravillas

The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research InstituteORCID 0000-0002-3374-4909Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:genetic perturbation / CRISPR· 1

Frequent Co-Authors

Daniel J. SpakowicziD· 3 shared Rebecca HoydiD· 3 shared Nicholas C. DenkoiD· 2 shared Aashrith Sai Thoutham· 1 shared Adel Fergatova· 1 shared Afaf E.G. OsmaniD· 1 shared Ahmad A. TarhiniiD· 1 shared Aik Choon TaniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

Daniel J. SpakowiczORCID

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3 papers

Recent·Most cited

Mitochondrial Oxygen Consumption Drives Lung Tumor Hypoxia and Resistance to Therapy via Copy Number Alteration in Mitochondrial Electron Transport Subunit NDUFB5

Martin Benej, Katarina Benejova, Adel Fergatova, Rebecca Lisi, Kristina Travis, McKenzie Kreamer, Amy Webb, Caroline Dravillas, Rebecca Hoyd, Esin Bayralı Ülker, Aashrith Sai Thoutham, Daniel J. Spakowicz, Nicholas C. Denko

This study shows that NDUFB5 amplification in NSCLC drives tumor hypoxia and therapy resistance by increasing mitochondrial oxygen consumption.

bioRxiv · Jul 28, 2026 · PreprintCancer Biology

mt.surv: Multi-Threshold Survival Analysis for Associating Continuous Predictor Variables with Time-to-Event Outcomes

Alexander Loncar, Rebecca Hoyd, YunZhou Liu, Caroline Dravillas, Dipankor Dhrubo, Daniel J. Spakowicz

mt.surv is an R package that performs multi-threshold survival analysis to assess the association of continuous predictor variables with time-to-event outcomes, providing a scalar measure for ranking biological variables.

bioRxiv · May 29, 2025 · PreprintBioinformatics

A bioinformatics tool for identifying intratumoral microbes from the ORIEN dataset

Cankun Wang, Anjun Ma, Yingjie Li, Megan E. McNutt, Shiqi Zhang, Jiangjiang Zhu, Rebecca Hoyd, Caroline E. Wheeler, Lary A. Robinson, Carlos H.F. Chan, Yousef Zakharia, Rebecca D. Dodd, Cornelia M. Ulrich, Sheetal S. Hardikar, Michelle L. Churchman, , Qin Ma

The paper introduces MEGA, a tool to identify cancer-associated microbes using RNA-seq data from the ORIEN dataset, leveraging graph attention networks and microbial community information.

Cancer Research Communications · Jan 23, 2024Peer-reviewedBioinformatics