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.
ObjectiveTo study the effects of newcastle disease virus (NDV) on tumor infiltrating lymphocyte (TIL). MethodsTILs were dissociated from 6 cases of primary hepatic carcinoma. Each case was divided into 3 portions equally, and was added 20 μl NDV with HA titer of 1∶160 (NDV group), rIL2 with the end concentration of 1 000 u/ml (rIL2 group) and 0.9% sodium chloride (control group) respectively, then cultured in the condition of 37℃，5% CO2. CD3, CD4 and CD8 were assayed by flow cytometry. The contents of IL2, IFNγ and TNFβ in supernate of NDV group and control group were examined by ELISA.ResultsCoupled material revealed that CD3 and CD4 were significantly higher in NDV group than in the other two groups (P＜0.05, P＜0.01). CD8 had no significant changes in three groups. The contents of IL2, IFNγ and TNFβ in NDV group were significantly higher than those in control group (P＜0.01, P＜0.01 and P＜0.05 respectively). ConclusionNDV can activate TIL directly.
【Abstract】Objective The effects of tumor infiltrating lymphocytes (TIL) on cellular immunologic function of patients with breast cancer were studied. Methods Twenty five patients with breast cancer were treated by the TIL that were isolated from tissue of tumor. T cell subgroups and natural killer cell (NK cell) activity of peripheral blood, the levels of serum soluble interleukin-2 receptor (sIL-2R) were assayed before and after treatment. Results CD3, CD4, CD4/CD8 and NK cell activity were ascended obviously, and CD8, sIL-2R were descended obviously after the treatment of TIL. Conclusion TIL can enhance the cellular immunologic function of patients with breast cancer.
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 expression of Bloom syndrome (BLM) helicase and tumor infiltrating dendritic cells (TIDC) in colon cancer tissues and their relationship with the prognosis of patients after surgery. Methods Onehundred and sixty-eight patients with colon cancer who underwent surgical resection in our hospital from June 2014 to August 2016 were selected as the research objects. The specimens of surgically resected colon cancer tissues and adjacent tissues archived by the pathology department were obtained, and the expression of BLM helicase and TIDC density were detected by immunohistochemistry. Pearson was used to analyze the correlation between BLM helicase expression and TIDC density, and the relationship between the expression of BLM helicase and TIDC density and the clinicopathological features of colon cancer was analyzed by using χ2 test or Wilcoxon rank test. The influencing factors of postoperative survival of patients with colon cancer were analyzed by Cox proportional hazards regression model. Results The relative expression of BLM helicase in colon cancer tissues was higher than that in adjacent tissues (1.49±0.33 vs. 1.02±0.17), while the TIDC density was lower than that in adjacent tissues [(9.53±2.36)% vs. (12.36±2.37)%], the differences were statistically significant (P<0.05). Pearson correlation analysis showed that there was a negative correlation between the expression of BLM helicase and TIDC density (r=–0.588, P<0.05). The expression of BLM helicase and TIDC density were correlated with tumor differentiation, clinical stage and lymph node metastasis (P<0.05). That is, those with high expression of BLM helicase and low density of TIDC had low degree of tumor differentiation, late clinical grade, and higher ratio of lymph node metastasis. Sixty-three cases died (37.5%) during the follow-up period (16–60 months, medium follow up 45 months). Log-rank analysis showed that the 5-year cumulative survival rate of the BLM helicase-low expression group was higher than that of the high expression group, and that of the TIDC-low density group was lower than that of the high density group (P<0.05). Cox regression analysis showed that the high expression of BLM helicase, low density of TIDC, low degree of tumor differentiation, late stage and lymph node metastasis were risk factors affecting the postoperative survival of patients with colon cancer (P<0.05). Conclusion The abnormal expression of BLM helicase and TIDC density in colon cancer tissues are related to the degree of differentiation and lymph node metastasis, which are risk factors affecting the long-term survival of patients with colon cancer.
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.
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.