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Supreet Agarwal
PeerJ Editor & Reviewer
865 Points

Contributions by role

Reviewer 30
Editor 835

Contributions by subject area

Bioinformatics
Cell Biology
Oncology
Genomics
Molecular Biology
Gastroenterology and Hepatology
Women's Health
Nephrology
Andrology
Urology
Diabetes and Endocrinology
Medical Genetics
Biochemistry
Hematology
Surgery and Surgical Specialties
Data Mining and Machine Learning

Supreet Agarwal

PeerJ Editor & Reviewer

Summary

I am a cancer biologist with 13+ years of experience and diverse background in clinical pharmaceutical sciences, cancer stem cells, cancer therapeutics, and data analytics. My research has focused on using innovative 3D organoid models for the understanding of cancer cell signaling pathways to facilitate cancer biomarker discovery and drug discovery for metastatic castrate resistant prostate cancer. I have successfully completed multiple preclinical trials of which two drugs are currently in clinical trials. Some of the methodologies I have gained expertise in include high-throughput drug screening, preclinical trials, flow cytometry, confocal microscopy, CRISPR screens, patient-derived xenografts, 3D organoid cultures, bioinformatics tools, and statistical analysis.

Bioinformatics Cell Biology Oncology Urology

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Work details

Scientist

National Cancer Institute
Laboratory of Genitourinary Cancer Pathogenesis

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 7

Academic Editor on

May 8, 2023
Identifying liver metastasis-related hub genes in breast cancer and characterizing SPARCL1 as a potential prognostic biomarker
Mingkuan Chen, Wenfang Zheng, Lin Fang
https://doi.org/10.7717/peerj.15311 PubMed 37180578
January 13, 2023
Immunoexpression of stem cell markers SOX-2, NANOG AND OCT4 in ameloblastoma
Karolyny Martins Balbinot, Felippe José Almeida Loureiro, Giordanna Pereira Chemelo, Ricardo Alves Mesquita, Aline Maria Pereira Cruz Ramos, Rommel Thiago Jucá Ramos, Artur Luiz da Costa da Silva, Sílvio Augusto Fernandes de Menezes, Maria Sueli da Silva Kataoka, Sergio de Melo Alves Junior, João de Jesus Viana Pinheiro
https://doi.org/10.7717/peerj.14349 PubMed 36655039
October 18, 2022
IQGAP3 in clear cell renal cell carcinoma contributes to drug resistance and genome stability
Wen Li, Zhifeng Wang, Hanlin Wang, Jian Zhang, Xiaobin Wang, Shaojun Xing, Si Chen
https://doi.org/10.7717/peerj.14201 PubMed 36275458
September 20, 2022
Bioinformatics prediction and experimental verification of key biomarkers for diabetic kidney disease based on transcriptome sequencing in mice
Jing Zhao, Kaiying He, Hongxuan Du, Guohua Wei, Yuejia Wen, Jiaqi Wang, Xiaochun Zhou, Jianqin Wang
https://doi.org/10.7717/peerj.13932 PubMed 36157062
May 19, 2022
Association of multiple tumor markers with newly diagnosed gastric cancer patients: a retrospective study
Xiaoyang Li, Sifeng Li, Zhenqi Zhang, Dandan Huang
https://doi.org/10.7717/peerj.13488 PubMed 35611170
January 25, 2022
Identification and validation of a novel signature for prediction the prognosis and immunotherapy benefit in bladder cancer
Yichi Zhang, Yifeng Lin, Daojun Lv, Xiangkun Wu, Wenjie Li, Xueqing Wang, Dongmei Jiang
https://doi.org/10.7717/peerj.12843 PubMed 35127296
December 20, 2021
A novel machine learning derived RNA-binding protein gene–based score system predicts prognosis of hepatocellular carcinoma patients
Qiangnu Zhang, Yusen Zhang, Yusheng Guo, Honggui Tang, Mingyue Li, Liping Liu
https://doi.org/10.7717/peerj.12572 PubMed 35036125