Author

A. Bahreini

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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Organism:human· 3 Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

A. V. Lee· 3 shared J. Gertz· 2 shared J. K. Richer· 2 shared J. M. Atkinson· 2 shared L. Buluwela· 2 shared L. Zhu· 2 shared N. M. Priedigkeit· 2 shared N. Wagle· 2 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

A. V. Lee

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Author profile →

3 papers

Recent·Most cited

Hotspot ESR1 mutations are multimodal and contextual drivers of breast cancer metastasis

Z. Li, Y. Wu, M. E. Yates, N. Tasdemir, A. Bahreini, J. Chen, K. M. Levine, N. M. Priedigkeit, S. Ali, L. Buluwela, S. Arnesen, J. Gertz, J. K. Richer, B. Troness, D. El-Ashry, , S. Oesterreich

This study identifies ESR1 mutations as drivers of breast cancer metastasis by altering cell adhesion and migration through genomic and transcriptomic reprogramming.

bioRxiv · Feb 10, 2021 · PreprintCancer Biology

ESR1 mutant breast cancers show elevated basal cytokeratins and immune activation

Z. Li, Y. Wu, A. Bahreini, N. M. Priedigkeit, K. Ding, C. A. Sartorius, L. Miller, M. Rosenzweig, N. Wagle, J. K. Richer, W. J. Muller, L. Buluwela, S. Ali, Y. Fang, L. Zhu, , S. Oesterreich

This study shows ESR1 mutant breast cancers exhibit basal cytokeratin expression and immune activation, linked to chromatin reprogramming and paracrine signaling.

bioRxiv · Dec 29, 2020 · PreprintCancer Biology

Targeted mutation detection in breast cancer using MammaSeqTM

N. G. Smith, R. Gyanchandani, G. T. Gurda, P. C. Lucas, R. Hartmaier, A. M. Brufsky, S. Puhalla, A. Bahreini, K. Kota, A. Wald, Y. E. Nikiforov, M. N. Nikiforova, S. Oesterrich, A. V. Lee

The paper develops MammaSeq, a targeted NGS panel for detecting clinically actionable mutations in breast cancer, showing it identifies actionable variants in 48% of solid tumors and 29% of cfDNA samples.

bioRxiv · Feb 13, 2018Cancer Biology