K 252a br clinical progress Our study supplements the ligand
clinical progress. Our study supplements the ligand-receptor recogni-tion and combination data for CAR construction.
In conclusion, ovarian cancer is associated with high malignancy and targeted therapies for ovarian cancer are constantly being devel-oped. Several studies have shown that uPAR is a good target for various cancers. We showed that ATF-CAR T K 252a exhibited specific recognition and eﬀective anticancer activity against uPAR-positive ovarian cancer cells; therefore, our results suggest that ATF-CAR T cells could be an excellent option for treating uPAR-positive cancers.
The authors thank Dr. Yu-Xin Li (National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University) and Dr. Li-Ning Miao (Department of Nephrology, the Second Hospital of Jilin University) for helpful technical instruction.
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Future Generation Computer Systems
journal homepage: www.elsevier.com/locate/fgcs
Bayesian analysis model for the use of anesthetic analgesic drugs in cancer patients based on geometry reconstruction
Zhichao Wu a,∗, Han Wang a, N. Arunkumar b a Department of Anesthesiology, Nanchong Central Hospital, Nanchong, Sichuan 637000, PR China b SASTRA University, Thanjavur, India
• Anesthetic analgesic drugs in patients with cancer pain is analysed.
• Bayesian Algorithm of geometric reconstruction is used for Sex linkage analysis.
• The parameters such as dosage, pain and specifications of the drugs are considered.
The use of anesthetic analgesic drugs in patients with cancer pain is analyzed comprehensively, which provides the necessary reference for rational use of drugs in clinic. Method: 102 patients with cancer pain are selected from a municipal people’s hospital from 2014 to 2016 in China. Based on the Bayesian algorithm of geometric reconstruction, the variety, dosage, prescription number, specification and frequency of anesthetic analgesic drugs used by patients are analyzed comprehensively. Results: the anesthetic analgesic drugs used by 102 patients with cancer pain mainly include Morphine Hydrochloride Injection, Tramadol Injection, Dezocine Injection, Morphine Hydrochloride Sustained-release Tablets, Tramadol Hydrochloride Sustained-release Tablets, Oxycodone Hydrochloride Sustained-release Tablets and Fentanyl Transparent Dressing. Among them, the dosage of Morphine Hydrochloride Sustained-release Tablets is the highest, followed by Tramadol Hydrochloride Sustained-release Tablets, Oxycodone Hydrochloride Sustained-release Tablets, Fentanyl Transparent Dressing, Morphine Hydrochloride Injec-tion, Tramadol Injection and Dezocine Injection. The drug use frequency of Fentanyl Transparent Dressing is the highest and the lowest is Dezocine Injection. The drug utilization index of Oxycodone Hydrochloride Sustained-release Tablets is the lowest, and that of Morphine Hydrochloride Sustained-release Tablets is the highest. Conclusion: The use principle of anesthetic analgesic drugs for cancer patient with pain basically conforms to the three-step analgesic principle of cancer pain, and the dosages and specifications of anesthetic drugs are basically reasonable, but need to be further standardized and rationalized. r>