ABSTRACT
BACKGROUND@#The aim of this study is to investigate the changes of peripheral blood lymphocyte subsets before and after treatment with pembrolizumab for non-small cell lung cancer and its clinical significance.@*METHODS@#A total of 32 patients with non-small cell lung cancer who received pembrolizumab treatment in The Affiliated Hospital of Qingdao University and Weifang People's Hospital of Shandong Province from January 2015 to December 2020 were selected as the observation group, and 30 healthy people during the same period were selected as the control group. Before treatment and in cycles 1, 2 and 4 after treatment, fluid cytometry was used to detect changes in the levels of lymphocyte subsets in the peripheral blood of patients.@*RESULTS@#The CD3⁺, CD4⁺, CD4⁺/CD8⁺ indexes of patients with non-small cell lung cancer before the treatment were significantly lower than those in the control group (P0.05), and the CD8⁺ index was slightly lower than before the treatment (P0.05). At the same time, this article shows through analysis that the expression of programmed cell death ligand 1 (PD-L1) and pathological types have no obvious influence on the effect of immunotherapy. Multi-factor analysis shows that it is more meaningful to observe the changes of CD3⁺, CD4⁺ and CD8⁺ at the same time to predict the effect of immunotherapy.@*CONCLUSIONS@#Pembrolizumab can regulate the changes of T lymphocyte subsets in patients with non-small cell lung cancer, improve the immune status of the patients, and there is no obvious adverse reaction. At the same time, monitoring the changes of lymphocyte subsets during treatment can predict the effect of immunotherapy.
ABSTRACT
Cervical cancer is a common female malignant tumor. It has been increasing and rejuvenating in recent years. Early screening of cervical cancer is an effective control method to block cancer. In this study, a diffuse reflectance spectrum detection and analysis system based on LabWindows development software and MariaDB database was developed, which can acquire and save the spectral data to the database. The method of a neural network model based on spectral database was built to distinguish the cervical tissue and the normal tissue. The nude mouse tumor model test and human volunteer test were performed respectively, which verified that the system can distinguish between normal tissue and tumor tissue, and can be applied to the screening of cervical precancerous lesions.
Subject(s)
Animals , Female , Humans , Mice , Mice, Nude , Neural Networks, Computer , Spectrum Analysis , Uterine Cervical Neoplasms , Diagnostic ImagingABSTRACT
simultaneous monitoring of blood flow and changes of concentration of oxyhemoglobin (ΔHbO) in brain is a key important method for the research of cerebrovascular disease. In this study, a new monitoring system, combining laser speckle contrast imaging method and spectral analysis method, was proposed, which could be utilized to measure the cerebral blood flow and ΔHbO on mice during traumatic brain injury. The principle of the present system was studied and the hardware platform of the detection system was built. Then, user interface software and algorithms were implemented based on Labview and Matlab software. Finally, the performance of the present system was verified by the experiments.