ABSTRACT
OBJECTIVE: This study aimed to determine the utility of a radiomic nomogram combined with clinical imaging and radiomic features based on MRI for the diagnosis of triple-negative breast cancer. METHODS: Multi-parametric MRI images of 136 breast cancer patients were retrospectively analyzed, 95 cases were stratified into the training cohort, and 41 cases were selected for the test group. According to the pathological molecular typing, the patients were divided into 23 cases of triple-negative breast cancer and 113 cases of non-triple-negative breast cancer. ITK software was used to manually delineate the lesion volume region of interest (VOI), and the Pyradiomics package was used to extract radiomic features for screening and model building. The platform was then used to analyze the clinical and imaging risk factors of breast cancer to build a characteristic model separately. Finally, a radiomic nomogram was constructed by integrating the radiomic and independent clinical image features. The diagnostic performance of the model was assessed using ROC curves. RESULTS: Univariate and multivariate analyses showed that the menstrual cycle, glandular density, and skin thickening were risk factors for clinical imaging characteristics of triple-negative breast cancer. The Area Under the Curve (AUC) was 0.839 and 0.826 for univariate and multivariate analysis, respectively. After screening, 11 radiomic features participated in the calculation of the radiomic score, and its AUC in the test set was 0.803. Combining it further with clinical models, the AUC improved to 0.899. CONCLUSION: The radiomic nomogram developed in this study has great value in the diagnosis of triple-negative breast cancer.
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Objective To investigate the effect of fibroblast growth factor (FGF) on the proliferation and transdifferentiation of cardiac fibroblasts ( CFs ) into myofibroblasts ( MFs ). Methods Rat CFs were isolated and cultured, and then induced by FGF. CCK-8 was used to detect the cell activity and proliferation. Immunofluorescence and Western blotting were used to detect the expression of a smooth muscle actin ( α-SMA ) and collagen I ( Col I ). Results The expression and activation of α-SMA and Col I increased with the increase of CFs culture generation. The number of CFs induced by FGF did not increased significantly; the expression of α-SMA in CFs induced by FGF1 and FGF2 decreased, and the number of activated MFs decreased. Conclusion FGF family has no effect on the proliferation of CFs, but FGF1 and FGF2 can inhibit the activation of CFs and reduce the differentiation into MFs.
ABSTRACT
<p><b>OBJECTIVE</b>To investigate the relationship between plasma miR-93-5p and the risk of esophageal cancer, as well as the influence of miR-93-5p on the biological function of esophageal cancer cells, exerted through exosomes.</p><p><b>METHODS</b>The expression of plasma miR-93-5p in esophageal cancer patients and healthy controls was analysed by real-time quantitative PCR. The influence of miR-93-5p on the risk and prognosis of esophageal carcinoma was analyzed by conditional logistic regression and survival analysis. The effect of miR-93-5p on the biological function of recipient cells was investigated by establishing an in vitro donor cell co-culture model. The target gene of miR-93-5p was validated by luciferase reporter assay and Western Blotting.</p><p><b>RESULTS</b>Upregulation of plasma miR-93-5p expression significantly increases the risk of esophageal cancer and is associated with poor prognosis. miR-93-5p transferred by exosomes promotes the proliferation of recipient esophageal cancer cells and affects the expression of PTEN and its downstream proteins p21 and cyclin D1.</p><p><b>CONCLUSION</b>Our study provides a reference for the identification of biomarkers for the diagnosis and prognosis of esophageal cancer.</p>
