New Results
Pan-cancer Proteomics Analysis to Identify Tumor-Enriched and Highly Expressed Cell Surface Antigens as Potential Targets for Cancer Therapeutics
View ORCID ProfileJixin Wang, Wen Yu, Rachel D’Anna, Anna Przybyla, Matt Wilson, Matthew Sung, John Bullen, Elaine Hurt, Gina DAngelo, Ben Sidders, Zhongwu Lai, Wenyan Zhong
doi: https://doi.org/10.1101/2023.01.23.525265
Jixin Wang
1Oncology Data Science, AstraZeneca, Gaithersburg, MD
Wen Yu
2Data Science and AI, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD
Rachel D’Anna
1Oncology Data Science, AstraZeneca, Gaithersburg, MD
Anna Przybyla
3Immune-oncology Discovery, AstraZeneca, Cambridge, UK
Matt Wilson
4Early TDE Discovery, AstraZeneca, Cambridge, UK
Matthew Sung
3Immune-oncology Discovery, AstraZeneca, Cambridge, UK
John Bullen
5Early TTD Discovery, AstraZeneca, Cambridge, UK
Elaine Hurt
5Early TTD Discovery, AstraZeneca, Cambridge, UK
Gina DAngelo
6Late Oncology Statistics, Oncology R&D, AstraZeneca, Gaithersburg, MD
Ben Sidders
7Oncology Data Science, Oncology R&D, AstraZeneca, Cambridge, UK
Zhongwu Lai
8Oncology Data Science, Oncology R&D, AstraZeneca, Waltham, MA
Wenyan Zhong
9Oncology Data Science, Oncology R&D, AstraZeneca, New York, NY

- Supplementary figures[supplements/525265_file02.docx]
- Supplementary Table 1[supplements/525265_file03.xlsx]
Posted January 23, 2023.
Pan-cancer Proteomics Analysis to Identify Tumor-Enriched and Highly Expressed Cell Surface Antigens as Potential Targets for Cancer Therapeutics
Jixin Wang, Wen Yu, Rachel D’Anna, Anna Przybyla, Matt Wilson, Matthew Sung, John Bullen, Elaine Hurt, Gina DAngelo, Ben Sidders, Zhongwu Lai, Wenyan Zhong
bioRxiv 2023.01.23.525265; doi: https://doi.org/10.1101/2023.01.23.525265
Pan-cancer Proteomics Analysis to Identify Tumor-Enriched and Highly Expressed Cell Surface Antigens as Potential Targets for Cancer Therapeutics
Jixin Wang, Wen Yu, Rachel D’Anna, Anna Przybyla, Matt Wilson, Matthew Sung, John Bullen, Elaine Hurt, Gina DAngelo, Ben Sidders, Zhongwu Lai, Wenyan Zhong
bioRxiv 2023.01.23.525265; doi: https://doi.org/10.1101/2023.01.23.525265
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