Public repo for BioHackathon project
Team 6 - Hackathon.bio
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers; it is often diagnosed late (and has few or no symptoms in early cases.) It has an average 5-year survival rate of less than 10%. [1, 5] Unfortunately, the majority of patients have unresectable, locally advanced, or metastatic disease at the time of diagnosis. We propose to build a susceptibility and progression model for pancreatic ductal adenocarcinoma (PDAC) based on the analysis of single-cell RNA transcriptome data from both normal tissue and tumor samples. We plan on using data from the Chan Zuckerberg Initiative CELLxGENE collection [2], TCGA [3], and the International Cancer Genome Consortium (ICGC) [4]. Project members are experts in the fields of molecular biology, oncology, and cancer diagnostics, with strong bioinformatics and ML experience.
[1] Sarantis P, Koustas E, Papadimitropoulou A, Papavassiliou AG, Karamouzis MV. Pancreatic ductal adenocarcinoma: Treatment hurdles, tumor microenvironment and immunotherapy. World J Gastrointest Oncol. 2020 Feb 15;12(2):173-181. doi: 10.4251/wjgo.v12.i2.173. PMID: 32104548; PMCID: PMC7031151.
[2] “CZ CELLxGENE Discover.” Chan Zuckerberg Initiative, https://cellxgene.cziscience.com/. Accessed May 26, 2023.
[3] TCGA: The Cancer Genome Atlas. https://www.cancer.gov/ccg/research/genome-sequencing/tcga
[4] Zhang J, Bajari R, Andric D, Gerthoffert F, Lepsa A, Nahal-Bose H, et al. The international cancer genome consortium data portal. Nat Biotechnol. 2019;37(4):367–9.
[5] Lin, W., Noel, P., Borazanci, E.H. et al. Single-cell transcriptome analysis of tumor and stromal compartments of pancreatic ductal adenocarcinoma primary tumors and metasta
