Predictive Fuzzy Neural Network Based Effect of Heat Shock Protein on Prognosis of Tumor Cells
In this study, a mouse model of pancreatic carcinoma in situ and a subcutaneous model were used to simulate the actual situation of pancreatic carcinoma after operation, Mice inoculated with Mycobacterium tuberculosis heat shock protein 65 (mHSP65) pancreatic cancer tissue-derived
lysate (TDL) and pancreatic cancer cellderived lysate (TCL) respectively to prepare pancreatic cancer vaccine, and combined with low dose cyclophosphamide (CCY) to observe its anti-pancreatic cancer effect in tumor-bearing mice. The experiments showed that survival time of tumor-bearing mice
can be prolong by the combination of mHSP65-TCL and CY, decrease the tumor-producing rate, inhibit tumor growth and induce long-term immune memory, but the combination of mHSP65-TCL and CY could not show this effect. We further validated the antitumor effect and mechanism of mHSP65-TTL combined
with CY in vivo.
Keywords: Fuzzy Neural Network; Heat Shock Protein; Prognostic Impact; Tumor Cells
Document Type: Research Article
Affiliations: Department of Oncology, Second People’s Hospital of Taizhou, Taizhou Jiangsu Province, 225500, China
Publication date: 01 August 2020
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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