ObjectiveTo detect the expression of Krüppel like factor 8 (KLF8) in breast cancer tissues and cells and to explore the clinical significance of KLF8.Methods① The Oncomine database was used to analyze the differential expression of KLF8 mRNA in the breast cancer tissues. The Kaplan-Meier Plotter database was used to analyze the relationship between KLF8 mRNA expression and prognosis (relapse free survival, overall survival, post-progression survival, and distant metastasis-free survival) of patients with breast cancer. ② The quantitative real-time PCR (qRT-PCR) and Western blot were used to detect the KLF8 expression levels in the 16 clinical patients with breast cancer and 7 breast cancer cell lines (MDA-MB-231, MCF-12A, Hs-578T, MCF-7, BT-474, MDA-MB-453, ZR-75-30) and normal breast epithelial cell lines MCF-10A, and the immunofluorescence was used to further detect the localization of KLF8 expression in the 2 breast cancer cell lines with higher KLF8 expression level. ③ The immunohistochemistry was used to detect the expression of KLF8 protein in 135 cases of breast cancer tissue microarrays, and the relationships between KLF8 protein expression and clinicopathologic characteristics or overall survival were analyzed.Results① The Oncomine database showed that KLF8 mRNA expression in the breast cancer tissues was higher than that in the normal breast tissues (P<0.001). The median KLF8 mRNA expression level was taken as the cut-off point for high or low KLF8 expression. The results of Kaplan-Meier Plotter data analysis showed that the prognosis (relapse free survival, overall survival, postprogression survival, and distant metastasis-free survival) of patients with low KLF8 mRNA expression were better than those of patients with high KLF8 mRNA expression (P<0.05). ② The results of qRT-PCR and Western blot all showed that the KLF8 mRNA and protein expression levels in the breast cancer tissues were higher than those in the adjacent normal tissues (P=0.002, P<0.001). In addition, the Western blot results showed that the expression of KLF8 protein in the 7 breast cancer cell lines was higher than that in the normal breast epithelial cell lines MCF-10A respectively, and KLF8 protein mainly expressed in the cytoplasm of breast cancer cells and highly expressed in the nuclear of a few cells. ③ There were 63 cases of high KLF8 expression and 72 cases of low KLF8 expression by the immunohistochemical analysis of 135 patients with breast cancer tissue microarray (the H-score of the immunohistochemical test results was 75 as the cut-off point, H-score >75 was the high KLF8 expression and H-score ≤75 was the low KLF8 expression), the differences of statuses of estrogen receptor (ER) and progesterone receptor (PR) between the patient with high KLF8 expression and low KLF8 expression were significant (P<0.05). The Kaplan-Meier survival curve analysis showed that the prognosis of patients with high KLF8 expression was worse than that of patients with low KLF8 expression (P=0.002). The univariate analysis showed that the TNM stage, statuses of ER and PR, and KLF8 expression were related to the prognosis of patients with breast cancer (P<0.05), further multivariate Cox proportional hazards regression analysis indicated that the later stage of TNM and high KLF8 expression were the independent risk factors (P<0.05).ConclusionsThe results of this study suggest that KLF8 highly expresses in both breast cancer tissues and breast cancer cells, which is related to the statuses of ER and PR and prognosis of patients with breast cancer. KLF8 might be involved in the progression of breast cancer as an oncogenic gene, or it might provide a new direction for prognosis judgment and molecular targeted therapy of breast cancer.
Automated characterization of different vessel wall tissues including atherosclerotic plaques, branchings and stents from intravascular ultrasound (IVUS) gray-scale images was addressed. The texture features of each frame were firstly detected with local binary pattern (LBP), Haar-like and Gabor filter in the present study. Then, a Gentle Adaboost classifier was designed to classify tissue features. The methods were validated with clinically acquired image data. The manual characterization results obtained by experienced physicians were adopted as the golden standard to evaluate the accuracy. Results indicated that the recognition accuracy of lipidic plaques reached 94.54%, while classification precision of fibrous and calcified plaques reached 93.08%. High recognition accuracy can be reached up to branchings 93.20% and stents 93.50%, respectively.
目的:探讨成人麻疹的流行病学与临床特征。方法:回顾性分析196例成人麻疹的临床资料。结果:患者以外来流动人员及本地农村人口多见,平均年龄26.78岁,多数患者未接种麻疹疫苗或麻疹疫苗史不详。成人麻疹患者临床症状重,皮疹典型,为充血性斑丘疹,麻疹黏膜斑(Koplik’s spots)明显,且持续时间长,可合并肝脏和心肌损伤,但并发症以肺炎和支气管炎为主。结论:有必要加强成人的免疫接种,尤其是外来的务工人员,强化医务人员对麻疹的认识,避免麻疹的流行。
With high morbidity, branch retinal vein occlusion (BRVO) is a common retinal vascular disease in the clinic. Although the classic characteristics of BRVO have been recognized for a long time, the traditional understanding of BRVO has been challenged along with development and application of new imaging technologies, including the reasonable classification and staging of the disease, and the vascular characteristics at the occlusive site via multimodal imaging, etc. Thus, re-summarizing and refining these features as well as further improving and optimizing traditional imaging evaluation, can not only deepen the correct acknowledge of the entity, but also find biomarkers of prognosis of visual function, which is helpful to establish better diagnosis and treatment strategy. In the meanwhile, it is necessary that clinical characteristics of BRVO on imaging and the reliability of these imaging techniques are worth correct understanding and objective assessment.
Heart valve disease (HVD) is one of the common cardiovascular diseases. Heart sound is an important physiological signal for diagnosing HVDs. This paper proposed a model based on combination of basic component features and envelope autocorrelation features to detect early HVDs. Initially, heart sound signals lasting 5 minutes were denoised by empirical mode decomposition (EMD) algorithm and segmented. Then the basic component features and envelope autocorrelation features of heart sound segments were extracted to construct heart sound feature set. Then the max-relevance and min-redundancy (MRMR) algorithm was utilized to select the optimal mixed feature subset. Finally, decision tree, support vector machine (SVM) and k-nearest neighbor (KNN) classifiers were trained to detect the early HVDs from the normal heart sounds and obtained the best accuracy of 99.9% in clinical database. Normal valve, abnormal semilunar valve and abnormal atrioventricular valve heart sounds were classified and the best accuracy was 99.8%. Moreover, normal valve, single-valve abnormal and multi-valve abnormal heart sounds were classified and the best accuracy was 98.2%. In public database, this method also obtained the good overall accuracy. The result demonstrated this proposed method had important value for the clinical diagnosis of early HVDs.
To enhance the accuracy of computer-aided diagnosis of adolescent depression based on electroencephalogram signals, this study collected signals of 32 female adolescents (16 depressed and 16 healthy, age: 16.3 ± 1.3) with eyes colsed for 4 min in a resting state. First, based on the phase synchronization between the signals, the phase-locked value (PLV) method was used to calculate brain functional connectivity in the θ and α frequency bands, respectively. Then based on the graph theory method, the network parameters, such as strength of the weighted network, average characteristic path length, and average clustering coefficient, were calculated separately (P < 0.05). Next, using the relationship between multiple thresholds and network parameters, the area under the curve (AUC) of each network parameter was extracted as new features (P < 0.05). Finally, support vector machine (SVM) was used to classify the two groups with the network parameters and their AUC as features. The study results show that with strength, average characteristic path length, and average clustering coefficient as features, the classification accuracy in the θ band is increased from 69% to 71%, 66% to 77%, and 50% to 68%, respectively. In the α band, the accuracy is increased from 72% to 79%, 69% to 82%, and 65% to 75%, respectively. And from overall view, when AUC of network parameters was used as a feature in the α band, the classification accuracy is improved compared to the network parameter feature. In the θ band, only the AUC of average clustering coefficient was applied to classification, and the accuracy is improved by 17.6%. The study proved that based on graph theory, the method of feature optimization of brain function network could provide some theoretical support for the computer-aided diagnosis of adolescent depression.
Objective To analyze the relationship between the residence and oncological characteristics of colorectal patients served by Sichuan University West China Hospital as a regional center in the current version of the Database from Colorectal Cancer (DACCA). Methods The DACCA version selected for this data analysis was the updated version on January 5, 2022. The data items analyzed included: residence, precancerous lesions, family history of cancer, tumor location, tumor morphology, tumor orientation, tumor pathology, tumor differentiation and preoperative TNM staging. According to the regional distribution of colorectal cancer patients' residence in the database, they were divided into Sichuan group and non-Sichuan group, and the Sichuan group was further divided into Sichuan-Chengdu group and Sichuan-non-Chengdu group. Results The DACCA database was filtered by conditions to obtain 7 232 valid data. ① The composition ratio of precancerous lesions in different places of residence: The difference between the Sichuan group and the non-Sichuan group was statistically significant (χ2=14.462, P=0.003), and the difference between the Sichuan-Chengdu group and the Sichuan-non-Chengdu group was not statistically significant (χ2=7.591, P=0.101). ② Composition ratio of family history of cancer in different places of residence: In the family history of cancer in oneself, the difference between Sichuan group and non-Sichuan group as well as between Sichuan-Chengdu group and Sichuan-non-Chengdu group were not statistically significant (χ2=1.121, P=0.606; χ2=1.047, P=0.621). In the family history of cancer in relatives, the differences in the composition ratio of different tumor histories between the Sichuan group and the non-Sichuan group, and between the Sichuan-Chengdu group and the Sichuan-non-Chengdu group were not statistically significant (χ2=0.813, P=0.692; χ2=2.696, P=0.262). ③ Tumor site composition ratios in different places of residence: The difference between Sichuan group and non-Sichuan group was not statistically significant (χ2=0.476, P=0.490), and the difference between Sichuan-Chengdu group and Sichuan-non-Chengdu group was statistically significant (χ2=36.216, P<0.001). ④ Tumor morphology composition ratio in different places of residence: The difference between Sichuan group and non-Sichuan group was statistically significant (χ2=19.560, P<0.001), and the difference between Sichuan-Chengdu group and Sichuan-non-Chengdu group was not statistically significant (χ2=5.377, P=0.247). ⑤ Composition ratio of tumor orientation in different places of residence: The differences in composition ratio of tumor orientation between Sichuan group and non-Sichuan group and between Sichuan-Chengdu group and Sichuan-non-Chengdu group were statistically significant (χ2=17.484, P=0.005; χ2=26.820, P<0.001). ⑥ Composition ratio of tumor pathological properties under different residence: The differences in the comparison of pathological properties between Sichuan group and non-Sichuan group as well as between Sichuan-Chengdu group and Sichuan-non-Chengdu group of CRC patients were not statistically significant (χ2=8.136, P=0.408; χ2=7.278, P=0.506). ⑦ Composition ratio of tumor differentiation degree under different residence groupings: the differences in the composition ratio of tumors with different degrees of differentiation were not statistically significant between Sichuan group and non-Sichuan group, and between Sichuan-Chengdu group and Sichuan-non-Chengdu group (H=0.289, P=0.591; H=0.156, P=0.693). ⑧ The composition ratio of TNM staging of tumors before operation in different places of residence: between the Sichuan group and the non-Sichuan group, the difference in the composition ratio of preoperative TNM staging of CRC patients was statistically significant (H=8.023, P=0.005); between the Sichuan-Chengdu group and the Sichuan-non-Chengdu group, the difference in the composition ratio of preoperative TNM staging of CRC patients was not statistically significant (H=0.218, P=0.640). Conclusions Data analysis in DACCA reveal multiple associations between the place of residence and oncological characteristics of CRC patients. There are differences in the composition of the types of precancerous lesions among CRC patients in different places of residence. The proportion of CRC is higher in the family history of cancer. In terms of the site of tumor occurrence, the proportion of tumors located in the rectum is higher than that in the colon. In the composition of tumor morphology in all regions, the ulcerative type is the most frequent. The composition of tumor orientation is different in patients with CRC, and those who has involved a circle of the intestinal wall are the most frequent. Most CRC patients are already in middle or late stage when the tumor is discovered, and the proportion of middle or late stage patients in non-Sichuan provinces was even higher.
ObjectiveTo investigate the clinical characteristics of non-tuberculous mycobacterium (NTM) pulmonary disease and pulmonary tuberculosis, as well as the bacterial distribution of NTM pulmonary disease. Methods The bacterial distribution and clinical characteristics of 104 patients with NTM lung disease hospitalized in Jiangxi Provincial People’s Hospital from May 2017 to May 2020 were retrospectively analyzed, as well as the clinicplal characteristics of 155 patients with tuberculosis hospitalized during the same period. Results The age of NTM lung disease group [(60±15) years] was higher than that of tuberculosis group [(55±19) years]. There were statistically significant differences in basic diseases (such as malignant tumor, type 2 diabetes, old tuberculosis, bronchiectasis), laboratory examination (such as blood routine examination, albumin) and chest imaging characteristics between the two groups (P<0.05). There was no significant difference in clinical symptoms (such as cough, sputum or fever) (P>0.05). The common underlying diseases of NTM lung disease were malignant tumor (29%), bronchiectasis (21%), chronic obstructive pulmonary disease (19%), etc. The common clinical symptoms of NTM lung disease included cough, sputum, fever, hemoptysis, chest tightness and shortness of breath, and other non-specific respiratory symptoms. The common manifestations of NTM lung disease on chest high-resolution CT (HRCT) included patchy images (82%), mediastinal lymph node enalargement (35%), pleural thickening (31%), pleural effusion (26%) and other signs. The isolates of NTM included Mycobacterium avium (50%), Mycobacterium intracellulare (21%), Mycobacterium chelonae/abscessus (14%), Mycobacterium fortuitum (5%), Mycobacterium gordonae (4%), Mycobacterium gilvum (3%), and Mycobacterium smegmatis (3%). Multivariate Logistic regression analysis showed that advanced age (OR=1.027) was a risk factor for NTM lung disease. Conclusions The clinical manifestations of NTM lung disease and tuberculosis are similar and difficult to distinguish. For male patients over 60 years old with malignant tumor, old tuberculosis, bronchiectasis and other basic diseases, and the chest HRCT findings are mainly bronchiectasis, NTM lung disease should be actively excluded. There is little difference in clinical manifestations between different strains of NTM lung disease, and the treatment cycle of NTM lung disease is long and easy to be interrupted, requiring enhanced follow-up.
ObjectiveTo detect expressions of transient receptor potential channel C5 (TRPC5) and microRNA-320a (miR-320a) in thyroid cancer and explore clinical significances of them in thyroid cancer.MethodsThe expressions of TRPC5 and miR-320a mRNA in the thyroid cancer were investigated by searching the Ualcan database. While the expressions of TRPC5 and miR-320a mRNA in 80 cases of thyroid cancer, 35 cases of thyroid adenoma and 32 cases of normal thyroid tissues adjacent to thyroid adenoma tissues in the Zhengzhou Seventh People’s Hospital from March 2014 to March 2015 were tested. Real time PCR was used to detect the expressions of TRPC5 mRNA and miR-320a mRNA in the various tissues and Western blot was used to detect the TRPC5 protein in the thyroid cancer tissues. Therelationships between the expressions of TRPC5 and miR-320a mRNAs and clinicopathologic features of thyroid cancer were analyzed. The correlation between expressions of TRPC5 and miR-320a mRNA was analyzed by Pearson method. The risk factors influencing the prognosis were analyzed by univariate and multivariate Cox proportional hazards regression model.ResultsThe results of Ualcan database showed that the expression level of TRPC5 mRNA in the thyroid cancer was higher than that in the normal thyroid tissue (P<0.001), while the expression level of miR-320a mRNA was lower than that in the normal thyroid tissue (P<0.001). The results of clinical cases showed that the expression level of TRPC5 mRNA was significantly higher, while the expression of miR-320a mRNA was significantly lower in the thyroid cancer tissues as compared with the normal thyroid tissues (P<0.05). There was a negative correlation between the expression level of TRPC5 and miR-320a mRNA in the thyroid cancer (r=−0.653, P<0.001). The expressions of TRPC5 and miR-320a mRNA were correlated with the degree of differentiation, lymph node metastasis, and TNM stage (P<0.05). Kaplan-Meier survival curve analysis found that the patients with higher expression level of TRPC5 and lower expression level of miR-320a showed the poor prognosis, and multivariate analysis found that the lower tumor differentiation, later TNM stage, with lymph node metastasis, higher expression level of TRPC5 mRNA, and lower expression level of miR-320a mRNA were the risk factors affecting prognostic survival (P<0.05).ConclusionsFrom the database and clinical case data, it is concluded that TRPC5 mRNA is highly expressed, while miR-320a mRNA is lowly expressed in thyroid cancer tissues, and expressions of TRPC5 and miR-320a mRNA are related to degree of tumor differentiation, lymph node metastasis, TNM staging, and prognosis in patients with thyroid cancer. TRPC5 and miR-320a mRNA might be used as potential indicators for clinical and prognostic monitoring.
Objective To investigate the prognostic differences and decision-making role in postoperative radiotherapy of four molecular subtypes in pT1-2N1M0 stage breast cancer. Methods The clinicopathological data of 1526 patients with pT1-2N1M0 breast cancer treated at West China Hospital of Sichuan University between 2008 and 2018 were retrospectively analyzed. χ2 test was used to compare the clinicopathological features among patients with different molecular subtypes. Kaplan-Meier survival analysis and log-rank test were used to draw the survival curves and compare the overall survival (OS) and breast cancer-specific survival (BCSS) among patients with different molecular subtypes. Cox regression model was used to determine the influencing factors of OS of patients after radical mastectomy. Results Among the 1526 patients with pT1-2N1M0 breast cancer, there were 674 cases (44.2%) of Luminal A subtype, 530 cases (34.7%) of Luminal B subtype, 174 cases (11.4%) of human epidermal growth factor receptor 2 (Her-2) overexpression subtype, and 148 cases (9.7%) of triple-negative subtype. The 5-year OS rates of Luminal A, Luminal B, Her-2 overexpression and triple negative patients were 98.6%, 94.3%, 95.5% and 91.2%, respectively (χ2=11.712, P=0.001), and the 5-year BCSS rates were 99.3%, 94.6%, 95.5% and 92.5%, respectively (χ2=18.547, P<0.001). Multiple Cox regression analysis showed that menstrual status [hazard ratio (HR)=0.483, 95% confidence interval (CI) (0.253, 0.923), P=0.028] and whether endocrine therapy [HR=2.021, 95%CI (1.012, 4.034), P=0.046] were prognostic factors for the 5-year OS rate of breast cancer patients after radical mastectomy (P<0.05). However, it failed to reveal that Luminal subtypes and postoperative radiotherapy were prognostic factors for the 5-year OS rate (P>0.05). Conclusions In pT1-2N1M0 breast cancer patients, the 5-year OS rate and 5-year BCSS rate in triple-negative patients are the lowest. The relationship between Luminal classification, postoperative radiotherapy and survival in patients after radical mastectomy needs further study in the future.