Objective To approach histologically the degree of choroidal invasions of retinoblastoma and their relations with metastasis and prognosis. Methods The pathological sections of 297 enucleated eyeballs with retinoblastom from June 1985 to 1995 were reviewed under light microscope.For the sake of assessing the risk factors of the prognosis of the disease,the graduation of the choroidal invasion was in vestigated in particular,and the follow-up of this genesis were performed as well. Results According to the degree of affection of the intraocular tissues from the tumor cells especially the choroid as the crucial structure,the choroidal invasions were classified into the following 5 categories:0，prereactive phase of retinal pigment epithelium(144/297,48.48%).Ⅰ，reactive phase of retinal pigment epithelium(81/297，27.27%).Ⅱ, early phase of choroidal invasion( 29/297,9.76%).Ⅲ, middle phase of choroidal invasion(17/297,5.72%).Ⅳ， advanced phase of choroidal in vasion(26/297,8.75%).24.24% of cases were found in phases Ⅱ-Ⅳ (so called choroidal invasion).The mortality in patients with phases 0～Ⅲ was found to be 0.4% in the average follow-up period of 51.8 months,and inpatients with phase Ⅳ was found to be 12.0%. Conclusion The retinoblastoma patient with the advanced phase of choroidal invasion (choroida l invasion with great extent) had relative high metastatic rate and poor prognos is. (Chin J Ocul Fundus Dis,1999,15:88-90)
Objective To investigate the invasion ability of Panc-1 cells in vivo and in vitro af ter being t ransfected with tissue factor pathway inhibitor 2 gene ( TFPI-2) . Methods The expression vector pEGFP-C1-TFPI-2 was transfected into human pancreatic cancer line Panc-1 cells by using liposome. TFPI-2 mRNA and protein of transfected and nontransfected cells were detected by reverse t ranscription-polymerase chain reaction (RT-PCR) and Western blot respectively. The tumor cells invasive behavior of t ransfected ( Panc-1-TFPI-2) and nontransfected ( Panc-1-V and Panc-1-P) cells were assessed in vitro through Boyden Chamber method. The transfected and nontransfected cells were implanted into nude mice to observe it s growth and metastasis in vivo. Results Expressions of mRNA and protein of TFPI-2 were confirmed in transfected cells. Af ter TFPI-2 t ransfection , the number of Panc-1-TFPI-2 , Panc-1-V and Panc-1-P cells passing through membrane of Boyden Chamber were 24. 4 ±3. 5 ,61. 3 ±4. 1 and 60. 2 ±3. 9 , respectively. The number of TFPI-2-expressing cells to t raverse a Matrigel-coated membrane was obviously decreased compared with that of non-expressing cells , the invasion ability was lower than that before transfection in vitro. The subcutaneous tumor volume of the Panc-1-TFPI-2 group was (438. 0 ±69. 8) mm3 , the Panc-1-V group was (852. 0 ±102. 9) mm3 and the Panc-1-P group was (831. 0 ±78. 1) mm3 , P lt; 0. 05. The metastasis to liver and lung and muscular invasion occurred in the Panc-1-V group and the Panc-1-P group. There were no muscular invasion and metastatic lesions in the Panc-1-TFPI-2 group. Conclusion TFPI-2 gene expression may obviously inhibit the invasion ability of pancreatic cancer cells in vitro and in vivo , which provides an experimental basis for the treatment of human pancreatic cancer by gene therapy.
Objective To evaluate the clinical radiological features combined with circulating tumor cells (CTCs) in the diagnosis of invasiveness evaluation of subsolid nodules in lung cancers. Methods Clinical data of 296 patients from the First Hospital of Lanzhou University between February 2019 and February 2021 were retrospectively included. There were 130 males and 166 females with a median age of 62.00 years. Patients were randomly divided into a training set and an internal validation set with a ratio of 3 : 1 by random number table method. The patients were divided into two groups: a preinvasive lesion group (atypical adenomatoid hyperplasia and adenocarcinoma in situ) and an invasive lesion group (microinvasive adenocarcinoma and invasive adenocarcinoma). Independent risk factors were selected by regression analysis of training set and a Nomogram prediction model was constructed. The accuracy and consistency of the model were verified by the receiver operating characteristic curve and calibration curve respectively. Subgroup analysis was conducted on nodules with different diameters to further verify the performance of the model. Specific performance metrics, including sensitivity, specificity, positive predictive value, negative predictive value and accuracy at the threshold were calculated. Results Independent risk factors selected by regression analysis for subsolid nodules were age, CTCs level, nodular nature, lobulation and spiculation. The Nomogram prediction mode provided an area under the curve (AUC) of 0.914 (0.872, 0.956), outperforming clinical radiological features model AUC [0.856 (0.794, 0.917), P=0.003] and CTCs AUC [0.750 (0.675, 0.825), P=0.001] in training set. C-index was 0.914, 0.894 and corrected C-index was 0.902, 0.843 in training set and internal validation set, respectively. The AUC of the prediction model in training set was 0.902 (0.848, 0.955), 0.913 (0.860, 0.966) and 0.873 (0.730, 1.000) for nodule diameter of 5-20 mm, 10-20 mm and 21-30 mm, respectively. Conclusion The prediction model in this study has better diagnostic value, and is more effective in clinical diagnosis of diseases.
Objective To investigate the perioperative clinical effects and follow-up results of minimally invasive coronary artery bypass grafting (MICS CABG) versus conventional coronary artery bypass grafting (CABG) in thoracotomy. Methods The patients who received off-pump CABG in Beijing Anzhen Hospital from January 2017 to October 2021 were collected. Among them, the patients receiving MICS CABG performed by the same surgeon were divided into a minimally invasive group, and the patients receiving median thoracotomy were into a conventional group. By propensity score matching, preoperative data were balanced. Perioperative and postoperative follow-up data of the two groups were compared. Results A total of 890 patients were collected. There were 211 males and 28 females, aged 60.54±9.40 years in the minimally invasive group, and 487 males and 164 females, aged 62.31±8.64 years in the conventional group. After propensity score matching, there were 239 patients in each group. Compared with the conventional group, patients in the minimally invasive group had longer operation time, shorter drainage duration, less drainage volume on the first postoperative day, shorter postoperative hospital stay, and lower rate of positive inotropenic drugs use, while there was no statistical difference in the mean number of bypass grafts, ICU stay, ventilator-assisted time, blood transfusion rate or perioperative complications (P＞0.05). During the median follow-up of 2.25 years, there was no statistical difference in major adverse cardiovascular and cerebrovascular events, including all-cause death, stroke or revascularization between the two groups (P＞0.05). ConclusionReasonable clinical strategies can ensure perioperative and mid-term surgical outcomes of MICS CABG not inferior to conventional CABG. In addition, MICS CABG has the advantages in terms of postoperative hospital stay, postoperative drainage volume, and rate of positive inotropic drugs use.
Non-invasive biomarkers, due to their non-invasive and safe characteristics, hold significant potential for the diagnosis and prognosis of epilepsy. This review summarizes the research progress and future directions of non-invasive biomarkers for epilepsy, encompassing electrophysiological, imaging, biochemical, and genetic markers, and discusses biomarkers for specific types of epilepsy, such as structural lesion-related epilepsy, infection and inflammation-related epilepsy, autoimmune epilepsy, endocrine hormone-related epilepsy, and metabolic epilepsy, to facilitate their clinical application.
Objective To explore the independent risk factors for tumor invasiveness of ground-glass nodules and establish a tumor invasiveness prediction model. Methods A retrospective analysis was performed in 389 patients with ground-glass nodules admitted to the Department of Thoracic Surgery in the First Hospital of Lanzhou University from June 2018 to May 2021 with definite pathological findings, including clinical data, imaging features and tumor markers. A total of 242 patients were included in the study according to inclusion criteria, including 107 males and 135 females, with an average age of 57.98±9.57 years. CT data of included patients were imported into the artificial intelligence system in DICOM format. The artificial intelligence system recognized, automatically calculated and output the characteristics of pulmonary nodules, such as standard diameter, solid component size, volume, average CT value, maximum CT value, minimum CT value, central CT value, and whether there were lobulation, burr sign, pleural depression and blood vessel passing. The patients were divided into two groups: a preinvasive lesions group (atypical adenomatoid hyperplasia/adenocarcinoma in situ) and an invasive lesions group (minimally invasive adenocarcinoma/invasive adenocarcinoma). Univariate and multivariate analyses were used to screen the independent risk factors for tumor invasiveness of ground-glass nodules and then a prediction model was established. The receiver operating characteristic (ROC) curve was drawn, and the critical value was calculated. The sensitivity and specificity were obtained according to the Yorden index. Results Univariate and multivariate analyses showed that central CT value, Cyfra21-1, solid component size, nodular nature and burr of the nodules were independent risk factors for the diagnosis of tumor invasiveness of ground-glass nodules. The optimum critical value of the above indicators between preinvasive lesions and invasive lesions were –309.00 Hu, 3.23 ng/mL, 8.65 mm, respectively. The prediction model formula for tumor invasiveness probability was logit (P)=0.982–(3.369×nodular nature)+(0.921×solid component size)+(0.002×central CT value)+(0.526×Cyfra21-1)–(0.0953×burr). The areas under the curve obtained by plotting the ROC curve using the regression probabilities of regression model was 0.908. The accuracy rate was 91.3%. Conclusion The logistic regression model established in this study can well predict the tumor invasiveness of ground-glass nodules by CT and tumor markers with high predictive value.
Stage T1 lung cancer refers to the tumor with maximum diameter≤3 cm, surrounded by the pleural membrane of the lung or viscera, and does not exceed the lobar bronchus under the bronchoscope. The prognosis is generally good, but some of them are more invasive, and more aggressive treatments are needed to achieve the best prognosis. This article reviews which T1 lung cancers are susceptible to metastasis and their risk factors. It is hoped that such patients will receive the attention of relevant scholars, and when they are encountered clinically, a more aggressive approach will be taken to extend their life expectancy．
ObjectiveTo explore expression, clinical and biological significance of plasma miRNA-196a from patients with advanced gastric cancer.MethodsReal time quantitative RT-PCR (qRT-PCR) method was used to detect the miRNA-196a levels in tissues and plasma from 75 gastric cancer patients and 35 benign gastric lesions controls. Then clinic pathological correlations of plasma miRNA-196a in 75 gastric cancer patients were analyzed. Twenty-five gastric cancer patients were randomized selected from 75 patients, to compare plasma miRNA-196a levels between preoperation and postoperation. Meanwhile, the effect of miRNA-196a on the invasion ability of gastric cancer MGC-803 cell line was observed in vitro.ResultsThe levels of miRNA-196a in both plasma and tissues from 75 gastric cancer patients were significantly increased compared with 35 benign gastric lesions controls (P<0.000 1). Clinic pathological data of 75 gastric cancer patients showed that the expressions of miRNA-196a were significantly up-regulated in gastric cancer patients with serosal invasion (P<0.001), lymph node metastasis (P=0.004), distant metastasis (P<0.001) and late clinical stage (P<0.001). The expression of miRNA-196a in peripheral plasma of patients with gastric cancer was significantly down regulated after operation (P<0.000 1). In vitro, overexpression of miRNA-196a significantly increased the invasion ability of MGC-803 cells (P<0.05), whereas knockdown of endogenous miRNA-196a significantly inhibited the invasion ability of MGC-803 cells (P<0.05).ConclusionsThe expression of miRNA-196a is up-regulated not only in peripheral plasma of patients with gastric cancer, but also with the progression of gastric cancer (serosal invasion, lymph node metastasis and distant metastasis). The up-regulation of miRNA-196a expression in peripheral plasma is mainly due to the release of primary tumor tissue. miRNA-196a is expected to be a prognostic marker and a potential therapeutic target for advanced gastric cancer.
ObjectiveTo explore the accuracy of machine learning algorithms based on SHOX2 and RASSF1A methylation levels in predicting early-stage lung adenocarcinoma pathological types. MethodsA retrospective analysis was conducted on formalin-fixed paraffin-embedded (FFPE) specimens from patients who underwent lung tumor resection surgery at Affiliated Hospital of Nantong University from January 2021 to January 2023. Based on the pathological classification of the tumors, patients were divided into three groups: a benign tumor/adenocarcinoma in situ (BT/AIS) group, a minimally invasive adenocarcinoma (MIA) group, and an invasive adenocarcinoma (IA) group. The methylation levels of SHOX2 and RASSF1A in FFPE specimens were measured using the LungMe kit through methylation-specific PCR (MS-PCR). Using the methylation levels of SHOX2 and RASSF1A as predictive variables, various machine learning algorithms (including logistic regression, XGBoost, random forest, and naive Bayes) were employed to predict different lung adenocarcinoma pathological types. ResultsA total of 272 patients were included. The average ages of patients in the BT/AIS, MIA, and IA groups were 57.97, 61.31, and 63.84 years, respectively. The proportions of female patients were 55.38%, 61.11%, and 61.36%, respectively. In the early-stage lung adenocarcinoma prediction model established based on SHOX2 and RASSF1A methylation levels, the random forest and XGBoost models performed well in predicting each pathological type. The C-statistics of the random forest model for the BT/AIS, MIA, and IA groups were 0.71, 0.72, and 0.78, respectively. The C-statistics of the XGBoost model for the BT/AIS, MIA, and IA groups were 0.70, 0.75, and 0.77, respectively. The naive Bayes model only showed robust performance in the IA group, with a C-statistic of 0.73, indicating some predictive ability. The logistic regression model performed the worst among all groups, showing no predictive ability for any group. Through decision curve analysis, the random forest model demonstrated higher net benefit in predicting BT/AIS and MIA pathological types, indicating its potential value in clinical application. ConclusionMachine learning algorithms based on SHOX2 and RASSF1A methylation levels have high accuracy in predicting early-stage lung adenocarcinoma pathological types.
With the widespread application of high-resolution and low-dose computed tomography (CT), especially the increasing number of people participating in lung cancer screening projects or health examinations, the detection of pulmonary nodules is increasing. At present, the relevant guidelines for pulmonary nodules focus on how to follow up and diagnose, but the treatment is vague. And the guidelines of European and American countries are not suitable for East Asia. In order to standardize the diagnosis and treatment of pulmonary nodules and address the issue of disconnection between existing guidelines and clinical practice, the Lung Cancer Medical Education Committee of the Chinese Medicine Education Association has organized domestic multidisciplinary experts, based on literature published by experts from East Asia, and referring to international guidelines or consensus, the "Chinese expert consensus on multidisciplinary minimally invasive diagnosis and treatment of pulmonary nodules" has been formed through repeated consultations and thorough discussions. The main content includes epidemiology, natural course, malignancy probability, follow-up strategies, imaging diagnosis, pathological biopsy, surgical resection, thermal ablation, and postoperative management of pulmonary nodules.