Author

R. Kundra

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

A. Boire· 1 shared A. Cercek· 1 shared A. Da Cruz Paula· 1 shared A. E. B. Ruiz· 1 shared A. Futreal· 1 shared A. L. Ho· 1 shared A. Luthra· 1 shared A. M. Aparicio· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperCancer Biology

A. Boire

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Author profile →

3 papers

Recent·Most cited

Integrative analysis of the MD Anderson Prostate Cancer Patient-Derived Xenograft Series (MDA PCa PDX)

N. Anselmino, E. Labanca, X. Song, J. Yang, P. D. Shepherd, J. Dong, R. Kundra, N. Schultz, J. Zhang, J. C. Araujo, A. M. Aparicio, S. K. Subudhi, P. G. Corn, L. L. Pisters, J. F. Ward, , N. M. Navone

The paper characterizes the genomic and transcriptomic landscape of MDA PCa PDX models and develops an organoid platform to study prostate cancer heterogeneity and resistance.

bioRxiv · Jul 21, 2022 · PreprintCancer Biology

Immune and malignant cell phenotypes of ovarian cancer are determined by distinct mutational processes

I. Vazquez-Garcia, F. Uhlitz, N. Ceglia, J. L. P. Lim, M. Wu, N. Mohibullah, A. E. B. Ruiz, K. M. Boehm, V. Bojilova, C. J. Fong, T. Funnell, D. Grewal, E. Havasov, S. Leung, A. Pasha, , Nikolovsk

This study identifies distinct immune and malignant cell phenotypes in ovarian cancer linked to specific mutational processes and anatomic sites.

bioRxiv · Aug 24, 2021Cancer Biology

Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients

B. Nguyen, C. Fong, A. Luthra, S. A. Smith, R. G. DiNatale, S. Nandakumar, H. Walch, W. K. Chatila, R. Madupuri, R. Kundra, C. M. Bielski, B. Mastrogiacomo, A. Boire, S. Chandarlapaty, K. Ganesh, , Varghes

The paper analyzes genomic data from 25,000 patients to identify associations between genomic alterations and metastatic patterns across 50 tumor types, finding chromosomal instability correlates with metastatic burden in some cancers.

bioRxiv · Jun 28, 2021Cancer Biology