Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
9 papers
Recent·Most cited
Y. Zhu, S. T. Schmidt, L. Zhao, C. Jiang, P. DI MICCO, C. Mitsopoulos, A. Futreal, B. Al-Lazikani
This paper introduces a graph-based model to identify druggable vulnerabilities in solid cancers, finding 43 novel targets by leveraging cooperativity in molecular networks.
bioRxiv · Jun 4, 2024 · PreprintCancer Biology
T. Karpinets, Y. Mitani, C.-C. Chang, X. Wu, X. Song, I. I. Flores, L. K. McDaniel, Y. M. Hoballah, F. J. Veguilla, R. Ferrarotto, L. Colbert, N. Ajami, R. Jenq, J. Zhang, A. Futreal, A. El-Naggar
This study identifies distinct microbial subtypes in adenoid cystic carcinomas and links them to patient outcomes and tumor biology.
bioRxiv · Jan 30, 2024 · PreprintMicrobiology
L. Perelli, L. Zhang, S. Mangiameli, A. J. C. Russell, F. Giannese, F. Peng, F. Carbone, C. Le, H. Khan, F. Citron, M. Soeung, T. Lam, S. Lundgren, C. Zhu, D. Catania, , G. Genovese
This study investigates the role of EMT in pancreatic cancer evolution and metastasis, showing that mesenchymal lineages drive chromosomal instability and clonal evolution.
bioRxiv · Sep 18, 2023 · PreprintCancer Biology
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
J. Kuipers, A. L. Moore, K. Jahn, P. Schraml, F. Wang, K. Morita, A. Futreal, K. Takahashi, C. Beisel, H. Moch, N. Beerenwinkel
This paper introduces a statistical test, GeneAccord, to identify clonally exclusive gene pairs in tumours and applies it to AML data, finding 6 exclusive and 2 co-occurring pairs.
bioRxiv · May 5, 2021 · PreprintCancer Biology
F. Carbone, J. K. Huang, L. Perelli, E. Del Poggetto, T. Gutschner, H. Tomihara, M. Soeung, T. N. A. Lam, R. Xia, C. Zhu, X. Song, J. Zhang, K. Sircar, G. G. Malouf, A. Sgambato, , G. Genovese
This study establishes a mouse model of renal cell carcinoma showing that 9p21 loss drives aggressive tumor evolution with chromosomal instability and metastasis.
bioRxiv · Nov 3, 2020 · PreprintCancer Biology
F. Wang, K. Morita, C. DiNardo, K. Furudate, T. Tanaka, Y. Yan, K. Patel, K. MacBeth, B. Wu, G. Liu, M. Frattini, J. Matthews, L. Little, C. Gumbs, X. Song, , K. Takahashi
The paper identifies leukemia stemness and co-occurring mutations as drivers of resistance to IDH inhibitors in AML through genomic analyses of treated patients.
bioRxiv · Oct 27, 2020Cancer Biology
H. A. Abbas, D. Hao, K. Tomczak, P. Baroodia, J. Im, P. K. Reville, Z. Alaniz, W. Wang, R. Wang, F. Wang, G. Al-Atrash, K. Takahashi, J. Ning, M. Ding, J. Matthews, , A. Futreal
This study analyzes single-cell RNA and TCR profiles from AML patients before and after PD-1 blockade therapy to identify factors influencing response and resistance.
bioRxiv · Sep 3, 2020Cancer Biology
Y. Wang, R. Wang, S. Zhang, S. Song, C. Jiang, G. Han, M. Wang, J. Ajani, A. Futreal, L. Wang
iTALK characterizes and illustrates intercellular communication in tumor microenvironments using single-cell RNA sequencing data.
bioRxiv · Jan 4, 2019 · PreprintCancer Biology