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Anna Karenina principle in personalized treatment of bladder cancer according to oncogram: which drug for which patient?
- Source :
- Personalized Medicine (17410541); Mar2023, Vol. 20 Issue 2, p175-182, 8p
- Publication Year :
- 2023
-
Abstract
- Aim: To evaluate the ex vivo efficacy of chemotherapy, immunotherapy and targeted agents with the oncogram method in patients with bladder cancer and determine the most appropriate personalized treatment agent using immune markers. Materials & methods: Bladder cancer tissues were obtained from each patient. After cultivation, cell cultures were divided into 12 groups for each patient and 11 drugs were administered. Cell viability and immunohistochemistry expression were examined. Results: A good response rate was determined to be a 23% viability drop. The nivolumab good response rate was slightly better in PD-L1-positive patients and the ipilimumab good response rate was slightly better in tumoral CTLA-4-positive cases. Interestingly, the cetuximab response was worse in EGFR-positive cases. Conclusion: Although good responses of drug groups after their ex vivo application by using oncogram were found to be higher than control group, this outcome differed on a per patient basis. Bladder cancer primary cell cultures were shown to be effective for drug sensitivity and also able to be used ex vivo in the process of determining personalized treatment. The ex vivo efficacy of 11 different agents was evaluated with oncogram in bladder cancer cell cultures obtained from patients. Together with clinicopathological features, evaluation of drug responses detected by oncogram can provide important information for pretreatment drug selection when deciding on individualized treatment. Evaluation of drug responses detected by oncogram can provide important information for pretreatment drug selection when determining individualized treatment. These results show us that the Anna Karenina principle can be adapted to bladder cancer. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17410541
- Volume :
- 20
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Personalized Medicine (17410541)
- Publication Type :
- Academic Journal
- Accession number :
- 169782047
- Full Text :
- https://doi.org/10.2217/pme-2022-0134