A novel computational model ITHCS for enhanced prognostic risk stratification in ESCC by correcting for intratumor heterogeneity
Tong Lu, Wei Guo, Wei Guo, Wangyang Meng, Tianyi Han, Zizhen Guo, Chengqiang Li, Shugeng Gao, Youqiong Ye, Hecheng Li · 2024
Read A novel computational model ITHCS for enhanced prognostic risk stratification in ESCC by correcting for intratumor heterogeneity by Tong Lu, Wei Guo, Wei Guo, Wangyang Meng, Tianyi Han, Zizhen Guo, Chengqiang Li, Shugeng Gao, Youqiong Ye, Hecheng Li (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11652613.txt.
Description
Intratumor heterogeneity significantly challenges the accuracy of existing prognostic models for esophageal squamous cell carcinoma (ESCC) by introducing biases related to the varied genetic and molecular landscapes within tumors. Traditional models, relying on single-sample, single-region bulk RNA sequencing, fall short of capturing the complexity of intratumor heterogeneity.
Catalog record
| CREATOR | Tong Lu, Wei Guo, Wei Guo, Wangyang Meng, Tianyi Han, Zizhen Guo, Chengqiang Li, Shugeng Gao, Youqiong Ye, Hecheng Li |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 56 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |