OBJECTIVES: This study aimed to explore the expression of lysosomal-associated membrane protein 5 (LAMP5) and microRNA (miR)-302a-3p in oral squamous cell carcinoma (OSCC) and their functional mechanism on the invasion and metastasis of OSCC. METHODS: The expression of LAMP5 in OSCC and its sensitivity as a prognostic indicator were analyzed on the basis of The Cancer Genome Atlas database. Western blot, quantitative reverse transcription polymerase chain reaction, and cell immunocytochemistry were used to detect the expression of LAMP5 in OSCC tissues and cells. The effect of LAMP5 on the proliferation, migration, and invasion of OSCC cells was evaluated through cell counting kit-8, immunocytochemistry, migration, and invasion assays, respectively. The miRNA targeting prediction websites were used to predict the miR that regulates LAMP5 and verify the targeted regulatory effect of miR-302a-3p on LAMP5. The effect of LAMP5 knockdown on OSCC tumor growth was evaluated in a nude mouse tumorigenesis model. RESULTS: LAMP5 was highly expressed in OSCC tissues and cells. It showed high sensitivity in the early diagnosis of OSCC. LAMP5 knockdown significantly inhibited the proliferation, migration, and invasion of OSCC cells, whereas LAMP5 overexpression increased these cell activities. The expression of LAMP5 was regulated by miR-302a-3p. In vivo, LAMP5 knockdown significantly inhibited the growth of OSCC tumor. CONCLUSIONS LAMP5 promotes the malignant progression of OSCC by enhancing the proliferation, migration, and invasion of OSCC cells. The expression of LAMP5 is negatively regulated by miR-302a-3p.
MicroRNAs/metabolism* ; Mouth Neoplasms/metabolism* ; Humans ; Animals ; Carcinoma, Squamous Cell/genetics* ; Neoplasm Invasiveness ; Cell Proliferation ; Mice, Nude ; Cell Movement ; Lysosomal Membrane Proteins/genetics* ; Mice ; Cell Line, Tumor ; Neoplasm Metastasis

Purpose To develop an integrate model combining deep learning features from contrast-enhanced lung ultrasonography with clinical characteristics for predicting epidermal growth factor receptor mutation status in peripheral non-small cell lung cancer.Materials and Methods This retrospective study included 117 patients with pathologically confirmed non-small cell lung cancer from the First Affiliated Hospital of Guangxi Medical University(July 2021 to February 2024).Patients were randomly divided into training(n=93)and test(n=24)sets at an 8∶2 ratio.Regions of interest were delineated at the peak enhancement phase of contrast-enhanced lung ultrasonography.Various deep learning convolutional neural networks were pretrained,with ResNet18 selected as optimal for feature extraction.Deep learning,clinical,and integrated models were constructed using naive Bayesian algorithm.Performance was evaluated via receiver operating characteristic and calibration curves,while class activation mapping and Shapley additive explanation values provided model interpretability.Results In the training set,the deep learning,clinical and integrated models achieved area under the curve of 0.93(95%CI 0.88-0.98),0.86(95%CI 0.68-1.00),and 0.91(95%CI 0.85-0.97),respectively.Corresponding test set area under the curve were 0.81(95%CI 0.72-0.90),0.56(95%CI 0.33-0.80),and 0.87(95%CI 0.72-1.00).Both deep learning and integrated models significantly outperformed the clinical model in training(Z=2.380,P=0.017;Z=2.597,P=0.009)and test sets(Z=2.034,P=0.042;Z=2.577,P=0.010).The integrated model demonstrated excellent calibration and predictive performance.Conclusion The integrated model combining deep learning features from contrast-enhanced lung ultrasonography with clinical characteristics effectively predicts epidermal growth factor receptor mutation status in peripheral non-small cell lung cancer.

Purpose To develop an integrate model combining deep learning features from contrast-enhanced lung ultrasonography with clinical characteristics for predicting epidermal growth factor receptor mutation status in peripheral non-small cell lung cancer.Materials and Methods This retrospective study included 117 patients with pathologically confirmed non-small cell lung cancer from the First Affiliated Hospital of Guangxi Medical University(July 2021 to February 2024).Patients were randomly divided into training(n=93)and test(n=24)sets at an 8∶2 ratio.Regions of interest were delineated at the peak enhancement phase of contrast-enhanced lung ultrasonography.Various deep learning convolutional neural networks were pretrained,with ResNet18 selected as optimal for feature extraction.Deep learning,clinical,and integrated models were constructed using naive Bayesian algorithm.Performance was evaluated via receiver operating characteristic and calibration curves,while class activation mapping and Shapley additive explanation values provided model interpretability.Results In the training set,the deep learning,clinical and integrated models achieved area under the curve of 0.93(95%CI 0.88-0.98),0.86(95%CI 0.68-1.00),and 0.91(95%CI 0.85-0.97),respectively.Corresponding test set area under the curve were 0.81(95%CI 0.72-0.90),0.56(95%CI 0.33-0.80),and 0.87(95%CI 0.72-1.00).Both deep learning and integrated models significantly outperformed the clinical model in training(Z=2.380,P=0.017;Z=2.597,P=0.009)and test sets(Z=2.034,P=0.042;Z=2.577,P=0.010).The integrated model demonstrated excellent calibration and predictive performance.Conclusion The integrated model combining deep learning features from contrast-enhanced lung ultrasonography with clinical characteristics effectively predicts epidermal growth factor receptor mutation status in peripheral non-small cell lung cancer.

Objective To observe the value of shear wave viscoelastography(SWV)for differentiating lung peripheral inflammatory masses and malignant tumors.Methods Conventional gray-scale ultrasound and SWV were prospectively performed in 70 patients with lung peripheral inflammatory mass or malignant tumor.The patients were divided into malignant group(n=42)and inflammatory group(n=28)according to pathological results.Clinical and ultrasonic data,including the maximum diameter of lesions,the mean Young's modulus(Emean),mean viscosity(Vmean),and mean dispersion slope(Dmean)were compared between groups.Receiver operating characteristic curves of ultrasonic parameters being significantly different between groups were drawn,and area under the curves(AUCs)were calculated to evaluate the efficacy of each parameter for differentiating lung peripheral inflammatory mass or malignant tumor.Results In malignant group,the maximum diameter and Emean of lesions were both higher,while Vmean and Dmean of lesions were both lower than those in inflammatory group(all P＜0.05).Vmean and Dmean of lesions had moderately/good efficacy for differentiating lung peripheral inflammatory mass or malignant tumor(AUC=0.843,0.866),both better than that of conventional ultrasound and Emean(AUC=0.673,0.685)(all P＜0.05).The combination of Emean,Vmean and Dmean had good efficacy for differentiating lung peripheral inflammatory masses and malignant tumors,with AUC of 0.874.Conclusion The viscous parameters of SWV could effectively differentiating lung peripheral inflammatory masses and malignant tumors.

Purpose To explore the feasibility of targeted diagnosis and localization of prostate cancer via background free differential ultrasound molecular imaging based on prostate-specific membrane antigen (PSMA) targeted ultrasound nanobubbles (NB). Materials and Methods Targeted PSMA-NB and non-targeted NB were constructed. The targeting ability of PSMA-NB on human prostate tumor 22RV1 cells (PSMA positive expression) and PC-3 cells (PSMA negative expression) was determined in vitro. Ten nude mouse models of human prostate tumor 22RV1 cells (n=5) and PC-3 cells (n=5) were constructed. PSMA-NB was injected into the rat tail vein,and in-situ blasting was performed. Ultrasound molecular images before and after blasting were collected,using destruction supplement post-processing technology to obtain and compare the differential ultrasound molecular imaging effects between the two groups. Results The particle size of PSMA-NB and NB were (363.7±24.4) nm and (236.0±55.2) nm,with statistical difference (t=3.19,P=0.007),respectively. Cell targeting results showed that PSMA-NB only adhered to the nucleus with positive PSMA-expression. Animal experiments indicated that the differential ultrasonic molecular images of PSMA positive expression group only showed the highly enhanced area of contrast agent at the tumor site,with no background noise. Conclusion Background free differential ultrasound molecular images can be used for precise targeted diagnosis and localization of PSMA positive prostate cancer,which is constructed based on PSMA targeted ultrasound nanobubbles.

Purpose To explore the feasibility of targeted diagnosis and localization of prostate cancer via background free differential ultrasound molecular imaging based on prostate-specific membrane antigen (PSMA) targeted ultrasound nanobubbles (NB). Materials and Methods Targeted PSMA-NB and non-targeted NB were constructed. The targeting ability of PSMA-NB on human prostate tumor 22RV1 cells (PSMA positive expression) and PC-3 cells (PSMA negative expression) was determined in vitro. Ten nude mouse models of human prostate tumor 22RV1 cells (n=5) and PC-3 cells (n=5) were constructed. PSMA-NB was injected into the rat tail vein,and in-situ blasting was performed. Ultrasound molecular images before and after blasting were collected,using destruction supplement post-processing technology to obtain and compare the differential ultrasound molecular imaging effects between the two groups. Results The particle size of PSMA-NB and NB were (363.7±24.4) nm and (236.0±55.2) nm,with statistical difference (t=3.19,P=0.007),respectively. Cell targeting results showed that PSMA-NB only adhered to the nucleus with positive PSMA-expression. Animal experiments indicated that the differential ultrasonic molecular images of PSMA positive expression group only showed the highly enhanced area of contrast agent at the tumor site,with no background noise. Conclusion Background free differential ultrasound molecular images can be used for precise targeted diagnosis and localization of PSMA positive prostate cancer,which is constructed based on PSMA targeted ultrasound nanobubbles.

Objective:To identify the value of ultrasound radiomic features extracted from the bladder wall at tumor base in predicting myometrial invasion of bladder cancer.Methods:A total of 175 cases with bladder cancer confirmed by pathology from January 2017 to February 2022 in the First Affiliated Hospital of Guangxi Medical University were retrospectively analyzed. They were divided into training set and testing set in a ratio of 7∶3. The MaZda texture analysis software was used to draw the region of interest (ROI) of the bladder wall and the tumor region for extracting texture features. The minimum absolute reduction and variable selection operator (LASSO) regression and 10-fold cross-validation were used to screen the features of training set for establishing the models. And the ROC curve was used to evaluate the efficiency of the models.Results:A total of 279 texture features were extracted from the ROI of the bladder wall and the tumor region, and 5 texture features were screened out for constructing omics scoring models by LASSO regression and 10-fold cross-test. The area under ROC curve (AUC)s used in training set and testing set of the bladder wall were 0.921 and 0.856, while the AUCs applied in training set and testing set of the tumor region were 0.849 and 0.704. Both in the training set and test set, the AUCs of the model of the bladder wall were higher than those of the model of the tumor region (all P<0.05). Conclusions:The omics scoring model based on the texture features of the bladder wall at tumor base can effectively identify muscle-invasive bladder cancer(MIBC) and non-muscle-invasive bladder cancer(NMIBC), and has better performance than the model based on the texture feature of the tumor region.

Hemorrhage/etiology* ; Humans ; Image-Guided Biopsy ; Lung/diagnostic imaging* ; Lung Diseases/etiology* ; Lung Neoplasms ; Retrospective Studies ; Risk Factors ; Ultrasonography, Interventional

Objective: To investigate the efficacy and safety of IA regimen which contains idarubicin (IDA) 8 mg/m², 10 mg/m² or 12 mg/m² as induction chemotherapy for adult patients with de-novo acute myeloid leukemia (AML) . Methods: A total of 1 215 newly diagnosed adult AML patients, ranging from May 2011 to March 2015 in the First Affiliated Hospital of Soochow University and other 36 clinical blood centers in China were enrolled in the multicenter, single-blind, non-randomized, clinical controlled study. To compare the response rate of complete remission (CR) , adverse events between different dose idarubicin combined with cytarabine (100 mg/m²) as induction chemotherapy in newly diagnosed patients of adult AML. Results: Of 1 207 evaluable AML patients were assigned to this analysis of CR rate. The CR rates of IDA 8 mg/m² group, IDA 10 mg/m² group and IDA 12 mg/m² group were 73.6% (215/292) , 84.1% (662/787) and 86.7% (111/128) , respectively (P<0.001) . After adjusted for age, blast ratio of bone marrow, FAB classification and risk stratification, the odds ratios (95% CI) of IDA 10 mg/m² group and IDA 12 mg/m² group were 0.49 (0.34-0.70) and 0.36 (0.18-0.71) , as compared with the IDA 8 mg/m² group (P<0.001, P=0.003) . In the intermediate and favorable groups, CR rates was 76.5% (163/213) , 86.9% (506/582) and 86.1% (68/79) in different doses of IDA (P=0.007) . Interestingly, IA regimen with IDA 10 mg/m² was the only beneficial factor affecting CR in this group after adjusted for age, blast ratio of bone marrow and FAB classification[OR=0.47 (95% CI 0.31-0.71) , P<0.001]. CR rates in adverse group was 50.0% (18/36) , 60.6% (43/71) and 81.8% (18/22) respectively (P=0.089) . However, the odds ratios (95% CI) of IDA 12 mg/m² when compared with the IDA 8 mg/m² was 0.22 (0.06-0.80) , after adjusted for age, blast ratio of bone marrow and FAB classification. The median time (days) of neutrophil count less than 0.5×10⁹/L in IDA 8 mg/m² group, IDA 10 mg/m² group and IDA 12 mg/m² group were 14 (11-18) , 15 (11-20) and 18 (14-22) , respectively (P=0.012) and of platelet count lower than 20×10⁹/L were 14 (7-17) , 15 (11-20) and 17 (15-21) , respectively (P=0.001) . The incidences of lung infection in the three groups were 9.8%, 13.5% and 25.2%, respectively (P<0.001) . Conclusions For young adult patients (aged 18-60 years) with AML in China, intensifying induction therapy with idarubicin 10 mg/m² is clinically superior to IDA 8 mg/m² and IDA 12 mg/m² in favorable intermediate AML subgroup. However, idarubicin 12 mg/m² is more suitable to adverse AML subgroup.

Objective To study the application value of microvascular density (MVD)in determination of transrectal ultrasound hemodgynamics in the differential diagnosis of prostate cancer and chronic prostatitis, and to provide imageological basis for their differential diagnosis.Methods A total of 6 1 patients suspected of prostate cancer underwent transrectal ultrasound scan and ultrasound guided biopsy.38 cases of prostate cancer and 23 cases of chronic prostatitis were confirmed by pathology and retrospectively analyzed.The peak systolic blood flow velocity (Vs)and blood flow classification of the suspicious lesions were compared and analyzed.The MVD was observed by Weidner method with monoclonal antibody CD34 immunohisochemistry staning. Results The Vs and the blood flow classification of the suspicious lesions in prostate cancer group were significant higher than those in chronic prostatitis group (P<0.05).The MVD in prostate cancer group and chronic prostatitis group were 46.70±13.87 and 34.38±7.28,respectively(P<0.05);the MVD in prostate cancer (C+D)stage and (A+B)stage were 56.99±12.85 and 39.97±10.21,respectively(P<0.05);the MVD in prostate cancer with high Gleason score group and low Gleason score group were 53.79±13.30 and 36.96±7.24,respectively(P<0.05).The Vs and the blood flow classification of the suspicious lesions of prostate cancer had a significantly positive correlation with the MVD (r=0.793,P<0.05;r=0.723,P<0.05).Conclusion The Vs and the blood flow classification of prostate cancer by ultrasound can well reflect the changes of the micrangium in tumor tissue. The Vs and blood supply grade of suspicious lesions in the patients with prostate cancer are significantly higher than those in the patients with chronic prostatitis.They may be useful for the identification of prostate cancer and chronic prostatitis.