scholarly journals Abstract 3116: Developing engineered and primary cancer cell lines for oncology drug development

Author(s):  
Feng Hao ◽  
Wenna Zhang ◽  
Hao Peng ◽  
Feng He ◽  
Zhaoshuai Bai ◽  
...  
2011 ◽  
Vol 19 (8) ◽  
pp. 719-730 ◽  
Author(s):  
Lichun Sun ◽  
Jing Luo ◽  
L. Vienna Mackey ◽  
Lynsie M. Morris ◽  
Laura G. Franko-Tobin ◽  
...  

Human Cell ◽  
2021 ◽  
Author(s):  
Feiling Feng ◽  
Qingbao Cheng ◽  
Bin Li ◽  
Chen Liu ◽  
Huizhen Wang ◽  
...  

AbstractGallbladder carcinoma (GBC) is a lethal biliary tract malignant neoplasm. Patient-derived primary cancer cell lines (PDPCs) are appropriate models to explore biological characteristics and potential therapeutics; however, there is a lack of PDPCs in GBC. In this study, we aimed to establish and characterize the GBC PDPCs, and further investigated the intra-tumor heterogeneity (ITH). Multi-region sampling (3–9 regions) of the operable tumor tissue samples was used to establish PDPCs. Short tandem repeat genotyping for cell authentication and karyotyping was performed, followed by whole-exome sequencing and RNA sequencing to assess the ITH at the genetic and transcriptional levels, respectively. Thirty-eight PDPCs were successfully established from seven GBC patients and characterized. ITH was observed with a median of 38.3% mutations being heterogeneous (range, 26.6–59.4%) across all patients. Similar with other tumor types, TP53 mutations were always truncal. In addition, there were three genes, KMT2C, CDKN2A, and ARID1A, with truncal mutations in at least two patients. A median of 370 differentially expressed genes (DEGs) was identified per patient. Distinct expression patterns were observed between major histocompatibility complex (MHC) class I and II genes. We found the expression of MHC class II genes in the PDPC samples was closely regulated by CIITA, while that of MHC class I genes were not correlated with CIITA expression. The PDPCs established from GBC patients can serve as novel in vitro models to identify the ITH, which may pave a crucial molecular foundation for enhanced understanding of tumorigenesis and progression.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Eunhye Kim ◽  
Mirae Kim ◽  
Kyungha So ◽  
Young Seok Park ◽  
Chang Gok Woo ◽  
...  

Pancreatology ◽  
2019 ◽  
Vol 19 ◽  
pp. S81-S82
Author(s):  
Emma K. Larsen ◽  
Manoj Amrutkar ◽  
Monica Aasrum ◽  
Petra Sántha ◽  
Caroline S. Verbeke ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
pp. 69-87 ◽  
Author(s):  
Shehnaz Fatima ◽  
Payal Gupta ◽  
Shilpa Sharma ◽  
Ashish Sharma ◽  
Subhash M Agarwal

Aim: Phytocompounds are important due to their uniqueness, however, only few reach the development phase due to their poor pharmacokinetics. Therefore, preassessing the absorption, distribution, metabolism, excretion and toxicity (ADMET) properties is essential in drug discovery. Methodology: Biologically diverse databases (Phytochemica, SerpentinaDB, SANCDB and NuBBEDB) covering the region of India, Brazil and South Africa were considered to predict the ADMET using chemoinformatic tools (Qikprop, pkCSM and DataWarrior). Results: Screening through each of pharmacokinetic criteria resulted in identification of 24 compounds that adhere to all the ADMET properties. Furthermore, assessment revealed that five have potent anticancer biological activity against cancer cell lines. Conclusion: We have established an open-access database (ADMET-BIS) to enable identification of promising molecules that follow ADMET properties and can be considered for drug development.


Sign in / Sign up

Export Citation Format

Share Document