摘要:Background and purpose: PRUNE2 is a specific prognostic gene for neuroblastoma and plays an important role in regulating cellular differentiation, proliferation and invasion of neuroblastoma. Low expression of PRUNE2 gene is associated with poor prognosis of prostate cancer. The aim of this paper was to investigate the correlation of PRUNE2 mutation with proliferation, apoptosis, invasion and migration of prostate cancer DU145 cells. Methods: Recombinant plasmids carrying wild-type and mutant-type PRUNE2 were constructed and then transfected to prostate cancer DU145 cell line to construct corresponding stable transgenic strains. Cell counting kit-8 (CCK-8) assay and clone formation assay were used to detect the ability of cell proliferation. Apoptosis assay was used to detect the ability of apoptosis, and transwell assay was used to detect the abilities of invasion and migration of cells. Western blot was used to detect the level of protein expression. The interaction between proteins was detected by immunofluorescence and immunoprecipitation experiments. Results: DU145 cells transfected with mutant-type PRUNE2 E370K exhibited significantly increased proliferation, invasion and migration, but significantly decreased apoptosis (P<0.005). It was also found that PRUNE2 and RhoA could bind to each other, while the binding ability between mutant-type PRUNE2 E370K and RhoA was significantly weakened. We also found that mutant-type PRUNE2 E370K promoted the expressions of ROCK and FAK proteins related with Rho pathway and the expressions of Bcl-2 and cyclin D1 proteins related with cell proliferation, and inhibited the expression of E-cadherin associated with cell invasion and migration. Conclusion: PRUNE2 gene mutation positively promotes the proliferation, invasion and migration, and inhibits apoptosis of prostate cancer DU145 cells. These results provide important theoretical basis for studying the invasion and migration of prostate cancer.
摘要:Background and purpose: Lung adenocarcinoma is a subtype of non-small cell lung cancer. Although much progress has been made in the diagnosis and treatment of lung adenocarcinoma, the clinical prognosis and overall survival of advanced lung adenocarcinoma are still poor. In recent years, a number of studies have shown that miRNA can play a role in a variety of cancers, and play an important role in cell proliferation, metastasis, inflammation and other biological processes. This study aimed to explore the effect of miR-625-5p on the proliferation and invasion ability of lung adenocarcinoma cells and its molecular mechanism, so as to provide a new idea for the diagnosis and treatment of lung cancer. Methods: GEO database was used to search for differentially expressed miRNA in lung adenocarcinoma. Real-time fluorescence quantitative polymerase chain reaction (RTFQ-PCR) was used to detect the expression of miR-625-5p in various lung adenocarcinoma cell lines. The effects of miR-625-5p on the proliferation and invasion of lung adenocarcinoma cells were investigated by EdU cell proliferation assay and transwell invasion assay. Key genes of miR-625-5p targeted binding were predicted by bioinformatics. Western blot experiment validated the expression of protein kinase cAMP-activated catalytic subunit alpha (PRKACA) in lung adenocarcinoma cells. The targeted relationship between miR-625-5p and PRKACA was analyzed by double luciferase assay and Western blot. Western blot assay was used to detect the expression of PRKACA after co-transfection of si-PRKACA and si-miR-625-5p in each group. The effect of miR-625-5p on the proliferation and invasion ability of lung adenocarcinoma cells by targeting PRKACA was observed by EdU cell proliferation assay and transwell invasion assay. Results: The expression of miR-625-5p was up-regulated in lung adenocarcinoma tissues (P<0.000 1) and cells (P<0.000 1). The results of EdU cell proliferation assay and transwell invasion assay showed that miR-625-5p promoted the proliferation (P=0.002 3) and invasion (P=0.000 3) of lung adenocarcinoma cells. Double luciferase assay showed that miR-625-5p could target and bind to PRKACA (P=0.000 8). In lung adenocarcinoma cells, miR-625-5p was negatively correlated with PRKACA expression (P<0.000 1). Down-regulation of miR-625-5p reversed the promotion of the proliferation (P=0.011 9) and invasion (P=0.001 5) ability of A549 cells by knockout of PRKACA. Conclusion: MiR-625-5p is up-regulated in lung adenocarcinoma and promotes proliferation and invasion of lung adenocarcinoma tissues and cells by negatively regulating PRKACA.
摘要:Background and purpose: Osteosarcoma is a primary malignant tumor in bone tissue, mainly in adolescents. The prognosis of patients with lung metastasis is poor. CC chemokine ligand 2 (CCL2) and tis receptor CC chemokine ligand receptor 2 (CCR2) may take part in tumor. Some scholars have confirmed that CCL2 can promote the metastasis process of breast cancer and worsen the prognosis. The main purpose of this article was to study the expression of CCL2 in osteosarcoma tissue and its relationship with prognosis. Methods: GEXSCOPE ® tissue dissociation solution was used to dissociate 11 osteosarcoma samples into single cell suspension. The single cell sequencing library (scRNA-seq) was established by Chromium Single Cell Gene Expression Kit, Gel Bead Kit and Multiplex Kit from 10x Genomics Company. The expression of CCL2 was analyzed by scRNA-seq. The CCL2 level in lesions from tissue microarray was detected in 90 osteosarcoma patients, who were diagnosed and treated in the 6th People’s Hospital Affiliated to Shanghai Jiao Tong University from January 2017 to December 2019, using immunohistochemical method. According to the median value of the CCL2 histochemical score, 90 patients were divided into two groups, high expression and low expression. COX regression was used to analyze the CCL2 level and its relationship with clinicopathological characteristics and prognosis of patient. Results: The results of scRNA-seq indicated that CCL2 expression was higher in lung metastasis lesions than in primary tissues. The immunohistochemical results displayed that of the 80 cases, 33 had high CCL2 expression level and 47 had low CCL2 expression level. CCL2 expression was associated with clinical stage and lung metastasis (P<0.05). There was no significant correlation among the CCL2 level and age, gender, tumor size, pathological type and tumor necrosis rate (P>0.05). Conclusion: CCL2 may be one of the poor indicators to predict the metastasis and prognosis of osteosarcoma.
摘要:Background and purpose: It is of great clinical value to search for early biomarkers that can be used to accurately evaluate lymph node metastasis before surgery. This study aimed to investigate the value of magnetic resonance imaging (MRI) omics parameters in predicting cervical cancer lymph node metastasis, and to establish and verify an imaging omics model for preoperative prediction of cervical cancer lymph node metastasis. Methods: The clinical data of 202 patients with non lymph node metastasis and lymph node metastasis of cervical cancer confirmed by postoperative pathological examination in Fudan University Shanghai Cancer Center from June 2015 to September 2019 were retrospectively analyzed. MRI images were selected as T2 weighted images (T2WI) and T1 contrast + (T1C+). Itk-snap software was used for three-dimensional manual segmentation of cervical cancer tumor regions. Through Pyradiomics, an open source Python package, and a Python programming platform Jupyter, imaging omics features were extracted through ten image type systems and 6 feature systems. Among a total of 202 patients with cervical cancer, 104 had no lymph node metastasis, and 98 had lymph node metastasis. Imaging features were extracted from each patient in each group, including 1 923 features from the lymph node metastasis group and no lymph node metastasis group of T2WI sequence, 1 923 features from the lymph node metastasis group and no lymph node metastasis group of T1C+ sequence, and 3 846 features from the lymph node metastasis group and no lymph node metastasis group of T2WI combined with T2WI-T1C+ sequence. Imaging omics label was established and validated by machine learning model. Finally, area under curve (AUC), accuracy, positive predictive value (PPV) and negative predictive value (NPV) of the training set and the test set were used as the quantitative performance of the imaging omics label. Results: The T2WI sequence selected the features in the first 14 for classifier training, with the AUC of the training set=0.810 and the AUC of the test set =0.773. For T1C+ sequence, the first 16 features of feature sequencing were selected for classifier training, with AUC=0.819 in the training set and AUC=0.781 in the test set. In T2WI combined with T1C+sequence, the first 16 features of feature sequencing were selected for classifier training, with AUC=0.841 in the training set and AUC=0.803 in the test set. Conclusion: T2WI combined with T1C+ sequential imaging omics model has a good efficacy in predicting lymph node metastasis of early cervical cancer.
摘要:Background and purpose: The Oncotype DX21 gene assay holds great promise in prognostic prediction and adjuvant treatment decision-making, but the test samples obtained through invasive surgery can not completely represent the whole tumor. Mammography is a noninvasive, economical and simple routine examination. If imaging markers can be found, information about related gene expression quantity can be obtained in a noninvasive way, and the purpose of predicting prognosis and recurrence risk probability can also be achieved. This study explored the correlation between X-ray imaging characteristics and Oncotype DX21 gene assay results [recurrence score (RS) and RS grades] in patients with early-stage invasive ductal carcinoma who were ER-positive, HER2-negative and node-negative. Methods: Data of 282 patients with ER-positive, HER2-negative and node-negative early-stage invasive ductal carcinoma who underwent mammography and Oncotype DX21 gene assay in Fudan University Shanghai Cancer Center from Sep. 2017 to Jun. 2019, were retrospectively collected. Univariate and multivariate ordered logistic regression was used to analyze the correlation between X-ray imaging features and RS grading. One-way analysis of variance was used to analyze the correlation between X-ray imaging features and RS scores. Results: Univariate and multivariate ordered logistic regression analysis consistently showed that mass margins and calcification morphology were significantly correlated with RS grading (P<0.05). It was further found that the RS mean value of mass with indistinct margins was 33.6, which was significantly different from circumscribed (18.4), spiculated (24.9), microlobulated (27.3), and obscured margins (23.1). There were also significant differences in the RS mean value between amorphous calcification and punctate calcification. Conclusion: Calcification morphology and mass margins in mammograms have the potential to become imaging markers for Oncotype DX21 gene assay, providing a powerful tool for clinicians to make individualized treatment decisions.
关键词:Invasive ductal carcinoma;Oncotype DX21 gene assay;X-ray imaging features