[Study on endpoint determination method of tablet coating based on 3σ criteria and logic regression].

This paper explores the statistical distribution characteristics of coating film thickness, so as to present a new method for determining coating endpoint based on 3σ criterion and logic regression. Firstly, the spectrum and thickness of 4 batch samples were collected. Secondly, the spectral range of normal products was obtained by 3σ criterion, with the spectral feature NI as the number of test spectrum in the above range. Then, the model based on 3σ criterion and logic regression was built according to the best condition in K-fold cross-validation and the determined threshold of qualified rate in the coating endpoint. Finally, the qualified rate of test set samples at different time points was calculated by the above model, and the above change trend and the threshold value were combined to determine the coating endpoint. The results of KS analysis showed the distribution of thickness of the qualified products followed the normal distribution(P=0.081>0.05). The accuracy of the coating endpoint determination was as high as 100% by the model based on 3σ criterion and logic regression when the determined threshold of qualified rate was 90%. Therefore, the 3σ criterion was feasible to the research of coating eligibility. This paper reveals certain random phenomena in the coating process, and the method features a high accuracy, quick analysis and a good interpretability, which provides a reference for online detection and qualify evaluation in future.

UGT1A1 Gene Polymorphism Predicts Irinotecan-Induced Severe Neutropenia and Diarrhea in Chinese Cancer Patients.

BACKGROUND: Irinotecan was widely used in colon cancer and lung cancer, etc., and adverse reactions occur some times. The primary aim of this research is to investigate the association between UGT1A1 gene polymorphisms and irinotecan-related adverse effect in Chinese Han population with a novel kind of gene chip technology. METHODS: UGT1A1*6/*28 gene polymorphisms were detected by PCR and gene chip as well as sequencing. The correlation between UGT1A1 gene polymorphisms and severe delayed diarrhea or neutropenia and effect on response rate and progression-free survival were analyzed. RESULTS: A total of 106 patients receiving irinotecan-based regimens and with detected UGT1A1 gene polymorphisms were enrolled in this research. According to our results, no significant differences of severe diarrhea were found in patients with UGT1A1*6 genotypes (p = 0.608). However, the incidence of severe diarrhea in patients with TA7/7 genotype (66.7%, 4/6) was significantly higher than that in patients with TA6/7 (31.5%, 6/19) or TA6/6 (1.28%, 1/78) genotypes (p < 0.001). The incidence of severe hematologic toxicity in patients with AA (100%, 2/2) was significantly higher than that in patients with GA (33.3%, 7/21) or GG genotype (7.23%, 6/83) (p = 0.011). CONCLUSIONS: In terms of irinotecan-based regimens in cancers, UGT1A1*6 plays a more vital role in hematologic toxicity (p = 0.011) whereas UGT1A1*28 get more involved in diarrhea (p < 0.001).