Author

A. H. Shain

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

Biology Disciplines

Click to filter author papers

Cancer Biology· 5 Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 5 Approach:statistical model· 4 Research Focus:cancer & tumor microenvironment· 3 Assay:bulk RNA-seq· 2 Research Focus:chromatin & epigenetic regulation· 2 Assay:DNA methylation· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2

Frequent Co-Authors

B. C. Bastian· 2 shared I. Yeh· 2 shared M. L. Wei· 2 shared R. L. Judson-Torres· 2 shared R. Torres· 2 shared U. E. Lang· 2 shared A. S. McNeal· 1 shared A. Webb· 1 shared

Activity by Year

2018-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

B. C. Bastian

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

The genetic evolution of acral melanoma

M. Wang, S. Fukushima, Y.-S. Sheen, E. Ramelyte, N. Cruz Pacheco, C. Shi, S. Liu, I. Banik, J. D. Aquino, M. Sangueza Acosta, M. Levesque, R. Dummer, J.-Y. Liau, C.-Y. Chu, A. H. Shain, , B. C. Bastian

This study analyzes exome sequencing data from acral melanoma patients to identify distinct genetic evolution patterns compared to sun-exposed melanomas.

bioRxiv · Oct 18, 2023Cancer Biology

UVB mutagenesis differs in NRAS- and BRAF-mutant mouse models of melanoma

R. L. Bowman, R. C. Hennessey, D. A. Tallman, T. J. Weiss, E. R. Crawford, B. M. Murphy, A. Webb, S. Zhang, K. M. D. La Perle, C. J. Burd, R. L. Levine, A. H. Shain, C. E. Burd

This study compares UVB mutagenesis effects in NRAS- and BRAF-mutant mouse melanoma models, finding BRAF-mutant tumors have more mutations and a stronger UVB mutational signature.

bioRxiv · Dec 27, 2020 · PreprintCancer Biology

The landscape of driver mutations in cutaneous squamous cell carcinoma

D. Chang, A. H. Shain

This study identifies 30 driver genes in cutaneous squamous cell carcinoma through meta-analysis of sequencing data, highlighting mutations in NOTCH, p53, Hippo, Ras/MAPK/PI3K, cell-cycle checkpoint, and chromatin remodeling pathways.

bioRxiv · Dec 13, 2020Cancer Biology

BRAFV600E induces reversible mitotic arrest in human melanocytes via microRNA-mediated suppression of AURKB.

A. S. McNeal, R. L. Belote, H. Zeng, M. Urquijo, K. Barker, R. Torres, M. Curtin, A. H. Shain, R. H. Andtbacka, S. L. Holmen, D. H. Lum, T. McCalmont, M. W. VanBrocklin, D. Grossman, M. L. Wei, , R. L. Judson-Torres

This study identifies microRNA-mediated suppression of AURKB as a mechanism by which BRAFV600E induces reversible mitotic arrest in human melanocytes, contributing to nevus formation.

bioRxiv · May 21, 2020Cancer Biology

Global analysis of epigenetic heterogeneity identifies divergent drivers of esophageal squamous cell carcinoma

W. CAO, H. Lee, W. Wu, A. Zaman, S. McCorkle, M. Yan, J. Chen, Q. Xing, N. Sinnott-Armstrong, H. Xu, M. R. Sailani, W. Tang, Y. Cui, J. Liu, H. Guan, , T. G. Bivona

The paper identifies epigenetic drivers of esophageal squamous cell carcinoma through multi-omics analysis, revealing hypomethylation patterns and non-canonical WNT signaling activation.

bioRxiv · May 18, 2019 · PreprintCell Biology

A machine-learning classifier trained with microRNA ratios to distinguish melanomas from nevi

R. Torres, U. E. Lang, M. Hejna, S. J. Shelton, N. M. Joseph, A. H. Shain, I. Yeh, M. L. Wei, M. C. Oldham, B. C. Bastian, R. L. Judson-Torres

This study develops a machine learning classifier using microRNA ratios to distinguish melanomas from nevi, achieving 83% sensitivity and 71-83% specificity across multiple datasets.

bioRxiv · Dec 27, 2018 · PreprintCancer Biology