Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer
Tao Tan, Dmitri Mouradov, Margaret Lee, Grace Gard, Yumiko Hirokawa, Shan Li, Cong Lin, Fuqiang Li, Huijuan Luo, Kui Wu, Michelle Palmieri, Evelyn Leong, Jordan Clarke, Anuratha Sakthianandeswaren, Helen Brasier, Jeanne Tie, Niall C. Tebbutt, Azim Jalali, Rachel Wong, Antony W. Burgess, Peter Gibbs, · 2023
Read Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer by Tao Tan, Dmitri Mouradov, Margaret Lee, Grace Gard, Yumiko Hirokawa, Shan Li, Cong Lin, Fuqiang Li, Huijuan Luo, Kui Wu, Michelle Palmieri, Evelyn Leong, Jordan Clarke, Anuratha Sakthianandeswaren, Helen Brasier, Jeanne Tie, Niall C. Tebbutt, Azim Jalali, Rachel Wong, Antony W. Burgess, Peter Gibbs, (2023) 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-10783557.txt.
Description
Tan and colleagues published in twenty twenty-three a framework for using patient-grown tumor organoids to predict drug response. Organoids are mini tumors grown from a patient's own cancer cells. The setting was metastatic colorectal cancer, where many standard drugs exist. Prior tests of this idea covered mainly chemotherapy and disagreed. The team built one unified testing frame across drug types, including targeted and biologic therapies.
Predictions from untreated patients' organoids matched trial response rates closely. A forward-looking study in later-line patients gave similar accuracy. Patients predicted resistant progressed sooner on treatment. Liver metastases gave the best samples for growing organoids. Testing finished within seven weeks for most cases. The authors say organoid panels can inform real treatment choices.
Catalog record
| CREATOR | Tao Tan, Dmitri Mouradov, Margaret Lee, Grace Gard, Yumiko Hirokawa, Shan Li, Cong Lin, Fuqiang Li, Huijuan Luo, Kui Wu, Michelle Palmieri, Evelyn Leong, Jordan Clarke, Anuratha Sakthianandeswaren, Helen Brasier, Jeanne Tie, Niall C. Tebbutt, Azim Jalali, Rachel Wong, Antony W. Burgess, Peter Gibbs, |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 71 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |