Following the publication of the above article, a concerned reader drew to the Editor's attention that certain of the cell migration and invasion assay data featured in Figs. 2B, 5C, 6B and C were strikingly similar to data appearing in different form in other articles written by different authors at different research institutes that had either already been submitted elsewhere prior to the submission of this paper to Oncology Reports, or were under consideration for publication at around the same time (one of which has been retracted). In view of the fact that certain of these data had already apparently been submitted for publication prior to the submission of this article to Oncology Reports, the Editor has decided that this paper should be retracted from the Journal. After having been in contact with the authors, they agreed with the decision to retract the paper. The Editor apologizes to the readership for any inconvenience caused. [Oncology Reports 39: 967‑976, 2018; DOI: 10.3892/or.2018.6204]
To observe the clinical therapeutic effect and mechanism of Yiqi Yangyin Jiedu Decoction (YYJD, a Chinese herbal recipe for strengthening qi, nourishing yin and removing toxic substance, consisting of milkvetch root 30 g, glehnia root 30 g, asparagus root 15 g, lilyturf root 15 g, grossy privet fruit 12 g, spikemoss herb 30 g, Chinese sage herb 30 g, manyleaf paris rhizome 30 g, etc. ) in treating patients with advanced nonsmall cell lung cancer (NSCLC).Sixty patients with advanced lung cancer of qi-yin deficiency syndrome were randomized into three groups: the TCM group (A) treated with YYJD, the chemotherapy group (B) treated by chemotherapy with NP or GP protocol, and the combined treated group (C) treated with YYJD and chemotherapy in combination. The efficacy was evaluated after two cycles of treatment.The total effective rate for alleviating qi-yin deficiency syndrome in group A was 80%, significantly higher than that in Group C and B (35% and 20%, P <0.01) respectively. The KPS increasing and stabilizing rate in Group A and C was 90% and 85% respectively, significantly higher than that in Group B (75%), and difference between A and B was significant (P <0.05). In Group C after treatment, CD(3)+ showed a rising trend (P = 0.05), different to that in Group A and B (P <0.05 and P <0.01); CD(4)+ significantly increased (P <0.05) and CD(4)+/CD(8)+ ratio showed increasing trend (P = 0.06), while in Group B both were decreased significantly, showed significantly difference (P < 0.05). CD(8)+ CD(28)+ significantly increased after treatment in Group A and C (P <0.01 and P <0.05), but showed decreasing trend (P = 0.06) in Group B, significant difference was shown between B and C (P <0.05).YYJD can ameliorate the qi-yin deficiency syndrome evidently in advance lung cancer patients; improve their quality of life, the mechanism might be by way of enhancing T-lymphocyte activity and killer T-cell function, to elevate the T-cell mediated immunity in a round way.
Objective: To investigate the tongue image features of patients with lung cancer and benign pulmonary nodules and to construct a lung cancer risk warning model using machine learning methods. Methods: From July 2020 to March 2022, we collected 862 participants including 263 patients with lung cancer, 292 patients with benign pulmonary nodules, and 307 healthy subjects. The TFDA-1 digital tongue diagnosis instrument was used to capture tongue images, using feature extraction technology to obtain the index of the tongue images. The statistical characteristics and correlations of the tongue index were analyzed, and six machine learning algorithms were used to build prediction models of lung cancer based on different data sets. Results: Patients with benign pulmonary nodules had different statistical characteristics and correlations of tongue image data than patients with lung cancer. Among the models based on tongue image data, the random forest prediction model performed the best, with a model accuracy of 0.679 ± 0.048 and an AUC of 0.752 ± 0.051. The accuracy for the logistic regression, decision tree, SVM, random forest, neural network, and naïve bayes models based on both the baseline and tongue image data were 0.760 ± 0.021, 0.764 ± 0.043, 0.774 ± 0.029, 0.770 ± 0.050, 0.762 ± 0.059, and 0.709 ± 0.052, respectively, while the corresponding AUCs were 0.808 ± 0.031, 0.764 ± 0.033, 0.755 ± 0.027, 0.804 ± 0.029, 0.777 ± 0.044, and 0.795 ± 0.039, respectively. Conclusion: The tongue diagnosis data under the guidance of traditional Chinese medicine diagnostic theory was useful. The performance of models built on tongue image and baseline data was superior to that of the models built using only the tongue image data or the baseline data. Adding objective tongue image data to baseline data can significantly improve the efficacy of lung cancer prediction models.
Abstract Lung nodules are high-risk factors for lung cancer, which often present as lung nodules in the early stages of lung cancer and have no obvious clinical symptoms. Identifying the benign or malignant nature of lung nodules can not only avoid over-diagnosis and over-treatment of benign pulmonary nodules but also save medical resources and reduce patients' psychological anxiety. Early detection, diagnosis, and treatment of lung cancer are crucial for reducing the mortality rate of lung cancer patients. In this study, we attempted to analyze the correlation of the tongue image features of benign lung nodules and lung cancer, using a bivariate correlation analysis that used Spearman correlation for variables that did not have a normal distribution and Pearson correlation for those that did, and a canonical correlation analysis for multivariate correlation between the two sets, mining the differences of the two groups' tongue image features in order to serve as a reference for classification models based on machine learning techniques. The results showed that there was a different association of diagnostic features on tongue images between patients with benign lung nodules and lung cancer. In the lung cancer group, the features of the tongue body and tongue coating had a stronger canonical association. In the group of benign lung nodules, the correlation coefficients for the first and second pairs of canonical variables were 0.918 and 0.817 (P < 0.01), respectively, whereas in the group of lung cancer, the correlation coefficients for the first and second pairs of canonical variables were 0.940 and 0.822 (P < 0.01). The objective data of tongue image provide a new methodological reference for the risk warning of lung cancer, it can be helpful in the risk warning of lung cancer to some extent.
Objective: To observe the effect of strengthening qi and nourishing yin recipe (SQNY recipe) on the expressions of estrogen receptor α (ERα) and CyclinD1 of Lewis lung cancer in C57BL/6 mice with immunohistochemistry, and discuss the mechanism of its anti-proliferation and anti-metastasis effects, and analyse the correlation between ERα and CyclinD1. Methods: Twenty-four C57BL/6 mice were randomly divided into three groups. They were all transplanted with Lewis lung cancer cells, and received the interventions the next day as follows: tumor-bearing control group was fed with 0.9% NaCl, and TCM group was treated with SQNY recipe, and DDP group was given intraperitoneal DDP injection. All of mice were killed on the 20th day, weighed the tumor and counted lung metastases to calculate the inhibition rates of tumor growth and metastasis. The expressions of ERα, CyclinD1 in tumor tissues were detected by immunohistochemistry. Results: The inhibition rates of tumor growth and metastasis were 35.02% and 54.20% in TCM group, and were 41.18% and 39.02% in DDP group, respectively (all P0.05). The positive rates of ERα and CyclinD1 were 100% and 75% respectively in tumor-bearing group, all significantly higher than those in TCM group and DDP group (all P0.05). The expressions of ERα and CyclinD1 were all positively correlated to the tumor-weight (rs=0.501 and 0.404 respectively, both P0.05)and metastasis (rs=0.605 and 0.535 respectively, both P0.01). ERα was also positively correlated to CyclinD1 (rs=0.542,P0.01). Conclusion: SQNY recipe had good and ideal effects on tumor-inhibition and anti-metastasis, and can significantly regulate down the expressions of ERα and CyclinD1 in lung cancer, which was one of the mechanisms in anti-proliferation and anti-metastasis effects of this recipe. ERα and CyclinD1 in lung cancer were highly expressed, which was the critical reason and judging index of promoting the proliferation and metastasis of lung cancer cells. There was a regulatory mechanism between the expressions of ERα and CyclinD1.
Background: Apically extruded debris produced during root canal preparation can induce postoperative inflammation and subsequent failure of root canal treatment. Therefore, debris production must be reduced to improve the outcome of root canal treatment. Aim: This study aimed to provide a theoretical basis for the improvement of root canal treatment by comparing the difference in the amount of apically extruded debris produced during the root canal preparation of extracted human teeth with ProTaper Universal (PTU), ProTaper Next (PTN), and WaveOne (WO). Materials and Methods: On March 30, 2017, three researchers searched five electronic databases (PubMed/Medline, Cochrane, Science Direct Online, Embase, and Web of Science) with no time limitations. Only articles written in English were retrieved, and 150 articles were obtained. Then, the three researchers independently selected articles in accordance with previously established inclusion and exclusion criteria, and inconsistent results were discussed. Data were analyzed through meta-analysis for standardized mean difference (SMD). Results: Eight studies met the inclusion criteria and were subjected to qualitative analysis. Four articles showed that PTU produced higher amounts of apical debris than WO; two articles showed that PTU produced lower amounts of apical debris than WO; and three articles showed that PTN produced lower amounts of apical debris than WO. Moreover, one article demonstrated that PTU produced higher amounts of apical debris than PTN. A meta-analysis showed that PTU and WO did not produce significantly different amounts of apically extruded debris: SMD = −0.26, Z = 0.50 (P > 0.05). PTU produced lower amounts of apically extruded debris than WO: SMD = −4.98, Z = 2.79 (P < 0.05). However, results were significantly heterogeneous among all the included studies (I2 = 97%). No significant difference was found between PTU and WO in the amounts of apically extruded debris: SMD = 0.47, Z = 1.06 (P > 0.05). Conclusion: Currently available evidence shows that PTN can produce lower amounts of apical debris than WO (P < 0.05). Moreover, the amounts of apically extruded debris produced by PTU and WO are not significantly different (P > 0.05). Nevertheless, given the limited number of studies reviewed, a definitive conclusion cannot be reached.
By incorporating a semi-rigid ether-based unsymmetrical tetracarboxylic acid [H4detc = 2,3,3′,4′-diphenyl ether tetracarboxylic acid] with the ancillary dipyridyl ligand 4,4′-bipyridine (bipy), a new low-dimensional Co(II) coordination complex of [Co(H2detc)(bipy)] (1) was successfully synthesized under the solvothermal reaction conditions. Its treatment activity against the chronic periodontitis was evaluated and the related mechanism was explored at the same time. First of all, the content of the inflammatory cytokines released during chronic periodontitis was measured with ELISA detection kit. Besides, the real time RT-PCR was further performed and the expression levels of the survival genes expression in the Porphyromonas gingivalis was determined.
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