Author

Meenakshi Anurag

Baylor College of MedicineORCID 0000-0003-4379-5192Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:multiome· 1

Frequent Co-Authors

Matthew J. EllisiD· 2 shared Susan Galloway HilsenbeckiD· 2 shared Alaina N. LewisiD· 1 shared Alana L. WelmiD· 1 shared Alexander B. SaltzmaniD· 1 shared Alexandria Z. BuiD· 1 shared Anna MalovannayaiD· 1 shared Antrix JainiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

Matthew J. EllisORCID

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3 papers

Recent·Most cited

Cancer BiologyProceedings of the National Academy of SciencesPeer-reviewedJun 22, 2026

Rat somatic genome editing enables ER+ breast cancer modeling

Wen Bu, Tobie D. Lee, Meenakshi Anurag…·Yi Li

This study enables efficient somatic genome editing in rats to model ER+ breast cancer, showing that rat tumors recapitulate key features of human ER+ breast cancer not observed in mice.

DOI 10.1073/pnas.2529653123

ratexperimental assay

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Cancer BiologybioRxivPreprintDec 9, 2024

Patient-Derived Xenograft-Guided Prediction of Chemotherapy Response in Triple-Negative Breast Cancer

Jonathan Thomas Lei, Lacey Elizabeth Dobrolecki, Chen Lu Huang…·Michael T. Lewis

This paper develops chemotherapy-specific predictors for triple-negative breast cancer using patient-derived xenografts and multi-omic data, achieving high AUROC scores for response prediction.

4 citations

humanproteomics

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GenomicsNature CommunicationsPeer-reviewedAug 22, 2018

The prognostic effects of somatic mutations in ER-positive breast cancer

Obi L. Griffith, Nicholas C. Spies, Meenakshi Anurag…·Matthew J. Ellis

The paper identifies somatic mutations with prognostic effects in ER+ breast cancer using genomic data from multiple cohorts.

130 citationstop 5%

humanwhole-exome sequencing

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