目的 探讨诱导痰、痰、血清中的白介素(IL)-4、-6、-8在慢性支气管炎急性期的浓度阈值，确定其诊断意义，了解三种白介素在三种标本中的不同浓度对诊断慢性支气管炎急性期的意义。 方法 2001年1月-8月对77例慢性反复咳嗽患者按全国慢性支气管炎诊断标准确诊慢性支气管炎急性期48例，非慢性支气管炎29例，进行IL-4、-6、-8的诱导痰、痰、血清检测。采用受试者工作特征曲线(ROC曲线)鉴定三种白介素对三种标本的诊断价值。 结果 ①三种标本的三种白介素的诊断比值比(DOR)均＞3，95%可信区间的下限均＞1。②ROC曲线下面积显示：诱导痰及痰中IL-4、-8之间无差别(P＞0.05)，IL-4和IL-8分别与IL-6之间有统计学意义(P＜0.05)；血清中IL-4、-6、-8检测结果无差异(P＞0.05)。IL-4、-8的诱导痰及痰与血清有统计学意义(P＜0.05)，IL-6的诱导痰、痰、血清之间无差异(P＞0.05)。 结论 诱导痰及痰中的IL-4、-8诊断价值较好，可用于慢性支气管炎急性期的诊断。
Non-coding RNA (ncRNA) is a newly discovered functional RNA different from messenger RNA, which can participate in the regulation of tumor occurrence and development. Studies have shown that ncRNA can participate in the regulation of radiotherapy response to gastric cancer, and its mechanism may be related to its influence on DNA damage repair, gastric cancer cell stemness, apoptosis, and activation of epidermal growth factor receptor signal pathway. This article summarizes the mechanism of ncRNA regulating the response of gastric cancer to radiotherapy, and looks forward to the potential clinical application of ncRNA in the resistance of gastric cancer to radiotherapy.
Identification of molecular subtypes of malignant tumors plays a vital role in individualized diagnosis, personalized treatment, and prognosis prediction of cancer patients. The continuous improvement of comprehensive tumor genomics database and the ongoing breakthroughs in deep learning technology have driven further advancements in computer-aided tumor classification. Although the existing classification methods based on gene expression omnibus database take the complexity of cancer molecular classification into account, they ignore the internal correlation and synergism of genes. To solve this problem, we propose a multi-layer graph convolutional network model for breast cancer subtype classification combined with hierarchical attention network. This model constructs the graph embedding datasets of patients’ genes, and develops a new end-to-end multi-classification model, which can effectively recognize molecular subtypes of breast cancer. A large number of test data prove the good performance of this new model in the classification of breast cancer subtypes. Compared to the original graph convolutional neural networks and two mainstream graph neural network classification algorithms, the new model has remarkable advantages. The accuracy, weight-F1-score, weight-recall, and weight-precision of our model in seven-category classification has reached 0.851 7, 0.823 5, 0.851 7 and 0.793 6 respectively. In the four-category classification, the results are 0.928 5, 0.894 9, 0.928 5 and 0.865 0 respectively. In addition, compared with the latest breast cancer subtype classification algorithms, the method proposed in this paper also achieved the highest classification accuracy. In summary, the model proposed in this paper may serve as an auxiliary diagnostic technology, providing a reliable option for precise classification of breast cancer subtypes in the future and laying the theoretical foundation for computer-aided tumor classification.
Objective To observe the effect of gene expression of p53 and the polymorphism of p53 gene codon 72 on cl inical phenotype of keloids. Methods The tissue and blood samples were taken from 35 patients with keloids, 19 males and 16 females, and the course of disease was from 4 months to 8 years. Meanwhile, autologous peripheral blood was collected for genotype analysis. According to the observing scope, the tissue samples of the keloids were divided into 2 groups: the central group involving the central part of the keloids (the central area within two-thirds of the radius) and the peripheral group involving the peripheral part of the keloids (the peripheral area within one-third of the radius). According to the largest diameter of the keloids, the two groups were divided into 3 subgroups: the small size group with 5 patients (lt; 1 cm), the medium size group with 21 patients (1-3 cm) and the large size group with 9 patients (gt; 3 cm). DNA of the tissue and blood samples were extracted, and the PCR followed by DNA sequencing was used to detect the polymorphism of p53 gene codon 72. The expression change of P53 was detected by immunohistochemical staining. The fibroblast apoptosis in keloid tissues was detected by TUNEL method. Results The genetic genotype of p53 gene codon 72 in keloids included Arg/Arg in 7 cases, Pro/Arg in 21 cases, Pro/ Pro in 7 cases. The significant correlation was found between genotype and cl inical phenotype (P lt; 0.05). Immunohistochemical staining revealed that P53 was detectable in peripheral and central groups of small-medium size keloids and central groups keloids, and detectable in few cells in peripheral groups of large size keloids. The absorbency value was 3 439.359 8 ± 538.527 5 in Arg/Arg genotype, 3 273.186 2 ± 375.213 9 in Arg/Pro genotype, 1 691.372 9 ± 98.989 3 in Pro/Pro genotype. There weresignificant differences among the three genotypes (P lt; 0.05). The fibroblast apoptosis was detected by TUNEL, and the apoptotic cells were evenly distributed. The apoptosis index was 31.000 0 ± 3.266 0 in peripheral group of large size keloids, 42.300 0 ± 4.354 8 in peripheral group of medium size keloids, 44.600 0 ± 5.253 6 in peripheral group of small size keloids. There were significant differences among the three groups (P lt; 0.05). Conclusion There is close relationshi p between the cl inical phenotype of keloids and the expression of P53. The polymorphism variation of p53 gene codon 2 is beneficial for apoptosis of fibroblasts in keloids.
Objective To evaluate the efficacy of preoperative low-dose oral amiodarone for the prevention of atrial fibrillation （AF） after off-pump coronary artery bypass grafting （OPCAB） in patients older than 70 years. Methods A total of 156 patients older than 70 years who underwent OPCAB in Qingdao Fuwai Cardiovascular Disease Hospital from January 2011 to June 2012 were included in this prospective，double-blind and placebo controlled study. Preoperatively，all the 156 patients were randomly divided into amiodarone group and control group. In the amiodarone group，there were 80 patients including 38 male and 42 female patients who were given oral amiodarone （trade name： Cordarone） 200 mg，three times a day，3-5 days before surgery，and amiodarone was stopped on the OPCAB day and postoperatively. Preoperative duration of amiodarone intake was 4.0±1.2 days，and total amiodarone dosage was 2.6±0.5 g. In the control group，there were 76 patients including 35 male and 41 female patients who were given oral placebo as the same medication schedule，and preoperative duration of placebo intake was 4.0±1.4 days. Operation time，graft number，postoperative AF incidence，AF duration，hospital stay and readmission rate for cardiovascular events within 6 postoperative months were compared between the two groups. Results There was no in-hospital death in either group. There was no statistical difference in graft number，operation time，AF duration of patients who had postoperative AF，or postoperative hospital stay between the two groups. Postoperative AF incidence of the amiodarone group was significantly lower than that of the control group ［18.7% （15/80） vs. 34.2% （26/76），P=0.028］. Seventy-three patients in the amiodarone group （91.3%） and 66 patients in the control group （86.8%） were followed up for 8-24 months. During follow-up，2 patients in the amiodarone group died of acute myocardial infarction and cerebral hemorrhage respectively. There was no statistical difference in readmission rate for cardiovascular events within 6 postoperative months between the 2 groups ［6.8% （5/73） vs. 6.1% （4/66），P=0.860］ .Conclusion Preoperative low-dose oral amiodarone can significantly reduce the incidence of postoperative AF in patients older than 70 years undergoing OPCAB.