Comparative Efficacy of Chinese Herbal Injections Combined with Paclitaxel Plus Cisplatin for Non-Small-Cell Lung Cancer: A Multidimensional Bayesian Network Meta-Analysis.

INTRODUCTION: Considering the limitations of pure paclitaxel plus cisplatin chemotherapy in the treatment of non-small-cell lung cancer and the extensive exploration of Chinese herbal injections, this study performed a multidimensional network meta-analysis to systematically evaluate the clinical efficacy and safety of 12 Chinese herbal injections in the treatment of non-small-cell lung cancer. METHODS: Randomized controlled trials were obtained from several databases according to the eligibility criteria, and the study quality was assessed by the Cochrane risk of bias tool. Data analysis was performed by Stata 13.1 software and WinBUGS 14.0 software. Multidimensional cluster analysis was performed with the "scatterplot3d" package in R 3.6.1 software (PROSPERO ID: CRD42020163503). RESULTS: A total of 58 eligible randomized controlled trials involving 4578 patients and 12 Chinese herbal injections were included. Combined with paclitaxel plus cisplatin chemotherapy, Xiaoaiping injection exhibited a better impact on the clinical effective rate than paclitaxel plus cisplatin alone. Shenqifuzheng injection was associated with a preferable response in performance status and reduced leukopenia and gastrointestinal reactions. Kangai injection was dominant in the comprehensive results of the cluster analysis. CONCLUSIONS: Chinese herbal injections combined with paclitaxel plus cisplatin chemotherapy have a certain adjuvant effect in treating non-small-cell lung cancer, but the results of this study need to be verified by more well-designed, large-sample, multicenter randomized controlled trials.

Investigation on the Efficiency of Chinese Herbal Injections for Treating Non-small Cell Lung Cancer With Vinorelbine and Cisplatin Based on Multidimensional Bayesian Network Meta-Analysis.

Background: As non-small cell lung cancer (NSCLC) seriously threatens human health, several clinical studies have reported that Chinese herbal injections (CHIs) combined with vinorelbine and cisplatin (NP) are beneficial. This multidimensional network meta-analysis was performed to explore the preferable options among different CHIs for treating NSCLC. Methods: A literature search was performed in several databases to identify randomized controlled trials (RCTs) of CHIs in the treatment of NSCLC from inception to January 31, 2019. Final included studies met the eligibility criteria and methodological quality recommendations. Data analysis was performed using Stata 13.0 and WinBUGS 14.0 software. Each outcome was presented as an odds ratio and the surface under the cumulative ranking curve value (SCURA). The "scatterplot3d" package in R 3.6.1 software was used to perform multidimensional cluster analysis. Results: Ultimately, 97 eligible RCTs involving 7,440 patients and 14 CHIs were included in this network meta-analysis. Combined with NP chemotherapy, Kanglaite injection plus NP exhibited a better impact on the clinical effectiveness rate (SCURA probability: 78.34%), and Javanica oil emulsion injection plus NP was better in the performance status (95.44%). Huachansu injection plus NP was dominant in reducing thrombocytopenia (92.67%) and gastrointestinal reactions (92.52%). As to multidimensional cluster analysis, Shenmai injection plus NP was superior considering improving the clinical effectiveness rate, performance status and relieving leukopenia. Conclusions: The combination of CHIs and NP has a better impact on patients with NSCLC than NP alone. Among them, Shenmai injection plus NP, Kanglaite injection plus NP and Javanica oil emulsion injection plus NP were notable. Nevertheless, more multicenter and better designed RCTs are needed to validate our findings.

Natural Variation of Glucosinolates and Their Breakdown Products in Broccoli (Brassica oleracea var. italica) Seeds.

Seeds of 32 pure lines and 6 commercial broccoli cultivars were used to investigate variation in glucosinolates and their breakdown products. The aliphatic glucosinolate content was 54.5-218.7 µmol/g fresh weight, accounting for >90% of the total glucosinolates. The major glucosinolates found were glucoraphanin and glucoerucin in 27 samples and progoitrin in 7 samples. A gas chromatography-flame ionization detector (GC-FID) method was used to identify glucosinolate breakdown products; nine products were directly determined using standards. Using Arabidopsis thaliana lines myb28myb29 and Landsberg erecta to hydrolyze each reference glucosinolate, seven products were tentatively identified. 4-(Methylsulfinyl)butyl isothiocyanate and 5-(methylsulfinyl)pentanenitrile contents were 2.6-91.1 µmol/g fresh weight and 0-35.4 µmol/g fresh weight, respectively, with epithionitriles being more common than nitriles in accessions rich in alkenyl glucosinolate. Additionally, (S)-5-vinyl-1,3-oxazolidine-2-thione was detected in accessions rich in progoitrin. Specific lines with altered glucosinolate profiles and breakdown products were obtained and discussed according to the putative glucosinolate metabolism pathway.

[Analysis on medication rules of state medical master Yan Zhenghua from prescriptions with citri reticulatae pericarpium based on data mining].

The prescriptions containing pericarpium citri reticulatae that built by Professor. Yan were collected to build a database based on traditional Chinese medicine (TCM) inheritance assist system. After analyzed by data mining, such as apriori algorithm, the frequency of single medicine, the frequency of drug combination, the association rules between drugs and core drug combinations can be get from the database. Through the analysis of 1 027 prescriptions with pericarpium citri reticulatae, these prescriptions were commonly used to treat stomach aches, cough and other syndromes. The most frequency drug combinations were "Citri Reticulatae Pericarpium-Poria", "Paeoniae Radix Rubra-Citri Reticulatae Pericarpium" and so on. The drug association rules that the confidence was 1 were "Glycyrrhizae Radix ex Rhizoma --> Citri Reticulatae Pericarpium", "Paeoniae Alba Radix-Cyperi Rhizoma --> Citri Reticulatae Pericarpium", "Poria --> Citri Reticulatae Pericarpium", and so on. The drugs in the prescriptions containing pericarpium citri reticulatae that built by Professor Yan mostly had the effects of regulating the flow of Qi and invigorate blood circulation, which reflected the clearly thought when making prescriptions.

[Analysis on medication rules of state medical master yan zhenghua's prescriptions that including Polygoni Multiflori Caulis based on data mining].

The prescriptions including Polygoni Multiflori Caulis that built by Pro. Yan were collected to build a database based on traditional Chinese medicine (TCM) inheritance assist system. The method of association rules with apriori algorithm was used to achieve frequency of single medicine, frequency of drug combinations, association rules between drugs and core drug combinations. The datamining results indicated that in the prescriptions that including Polygoni Multiflori Caulis, the highest frequency used drugs were parched Ziziphi Spinosae Semen, Ostreae Concha, Ossis Mastodi Fossilia, Salviae Miltiorrhizae Radix Et Rhizoma, Paeoniae Rubra Radix, and so on. The most frequent drug combinations were "Polygoni Multiflori Caulis-parched Ziziphi Spinosae Semen", "Ostreae Concha-Polygoni Multiflori Caulis", and "Polygoni Multiflori Caulis-Ossis Mastodi Fossilia". The drug association rules of confidence coefficient 1 were "Ostreae Concha-->Polygoni Multiflori Caulis", "Poria-->Polygoni Multiflori Caulis", "parched Ziziphi Spinosae Semen-->Polygoni Multiflori Caulis", and "Paeoniae Alba Radix-->Polygoni Multiflori Caulis". The core drug combinations in the treatment of insomnia were Ossis Mastodi Fossilia, Polygoni Multiflori Caulis, Salviae Miltiorrhizae Radix et Rhizoma, Ostreae Concha, Polygalae Radix, Margaritifera Concha, Poria, and parched Ziziphi Spinosae Semen. And the core drug combinations in the treatment of obstruction of Qi in chest were Salviae Miltiorrhizae Radix Et Rhizoma, Polygoni Multiflori Caulis, parched Ziziphi Spinosae Semen, Trichosanthis Fructus, Allii Macrostemonis Bulbus, and Paeoniae Rubra Radix.

Production and characterization of interspecific somatic hybrids between Brassica oleracea var. botrytis and B. nigra and their progenies for the selection of advanced pre-breeding materials.

Somatic hybridization is a potential method for gene transfer from wild relatives to cultivated crops that can overcome sexual incompatibilities of two distantly related species. In this study, interspecific asymmetric somatic hybrids of Brassica oleracea var. botrytis (cauliflower) and Brassica nigra (black mustard) were obtained by protoplast fusion and their backcrossed (BC(3)) and selfed (S(3)) offspring were analyzed. Cytological analysis showed that the B. nigra chromosomes were successively eliminated in the backcrosses with cauliflower. The fertility of the hybrid progenies was quite different due to the asynchronous and abnormal chromosome behavior of pollen mother cells (PMC) during meiosis. Analysis of sequence-related amplified polymorphism (SRAP) showed that all of these hybrids mainly had the DNA banding pattern from the two parents with some alterations. Genetically, the selfed generations were closer to B. nigra, while the backcrossed generations were closer to the cauliflower parent. Analysis of cleaved amplified polymorphic sequences (CAPS) and restriction fragment length polymorphisms (RFLP) showed that all somatic hybrids in this study contained chloroplast (cp) DNA of the donor parent black mustard, while mitochondrial (mt) DNA showed evidence of recombination and variations in the regions analyzed. Furthermore, three BC(3) plants (originated from somatic hybrids 3, 4, 10) with 2-8 B. nigra-derived chromosomes shown by genomic in situ hybridization (GISH) displayed a more cauliflower-like morphology and high resistance to black-rot. These plants were obtained as bridge materials for further analysis and breeding.