Christopher Szeto, Ph.D.

Affiliations: 
Biomolecular Engineering and Bioinformatics University of California, Santa Cruz, Santa Cruz, CA, United States 
Google:
"Christopher Szeto"

Parents

Sign in to add mentor
David Henry Haussler grad student 2013 UC Santa Cruz
 (Discovery of clinically relevant molecular signatures in cancer.)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Fasching PA, Szeto C, Denkert C, et al. (2023) Inferred immune-cell activity is an independent predictor of HER2 negative breast cancer prognosis and response to paclitaxel-based therapy in the GeparSepto trial. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research
Burton KA, Mahen E, Konnick EQ, et al. (2022) Safety, Feasibility, and Merits of Longitudinal Molecular Testing of Multiple Metastatic Sites to Inform mTNBC Patient Treatment in the Intensive Trial of Omics in Cancer. Jco Precision Oncology. 6: e2100280
Newton Y, Sedgewick AJ, Cisneros L, et al. (2020) Large scale, robust, and accurate whole transcriptome profiling from clinical formalin-fixed paraffin-embedded samples. Scientific Reports. 10: 17597
Adashek JJ, Kato S, Parulkar R, et al. (2020) Transcriptomic silencing as a potential mechanism of treatment resistance. Jci Insight. 5
Jaber MI, Song B, Taylor C, et al. (2020) A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival. Breast Cancer Research : Bcr. 22: 12
Reddy SK, Seery TE, Szeto C. (2020) Results of a fifty-gene breast cancer RNA subtype classifier applied to 167 colorectal cancer (CRC) patients. Journal of Clinical Oncology. 38: 20-20
Szeto C, Gounder MM, Parulkar R, et al. (2020) High correlation between TMB, expressed TMB, and neoantigen load using tumor: Normal whole exome DNA and matched whole transcriptome RNA sequencing. Journal of Clinical Oncology. 38
Benz SC, Beziaeva L, Jaber M, et al. (2020) Highly accurate automated tissue classification using deep learning on digital pathology images: A novel tool for resolving conflicts in diagnosis. Journal of Clinical Oncology. 38: 3578-3578
Adashek JJ, Szeto C, Sanborn JZ, et al. (2020) Targetable immune checkpoint molecules may be significantly differentially expressed in minority ethnicities. Journal of Clinical Oncology. 38: 3576-3576
Szeto C, Veerapaneni S, Parulkar R, et al. (2020) Effect of chemokine signaling signatures on resolving discrepancy between TMB and checkpoint expression. Journal of Clinical Oncology. 38: 3131-3131
See more...