Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

BACKGROUND: Pancreatic cancer is a lethal malignancy prone to gemcitabine resistance. The single-strand selective monofunctional uracil DNA glycosylase (SMUG1), which is responsible for initiating base excision repair, has been reported to predict the outcomes of different cancer types. However, the function of SMUG1 in pancreatic cancer is still unclear. METHODS: Gene and protein expression of SMUG1 as well as survival outcomes were assessed by bioinformatic analysis and verified in a cohort from Fudan University Shanghai Cancer Center. Subsequently, the effect of SMUG1 on proliferation, cell cycle, and migration abilities of SMUG1 cells were detected in vitro . DNA damage repair, apoptosis, and gemcitabine resistance were also tested. RNA sequencing was performed to determine the differentially expressed genes and signaling pathways, followed by quantitative real-time polymerase chain reaction and Western blotting verification. The cancer-promoting effect of forkhead box Q1 (FOXQ1) and SMUG1 on the ubiquitylation of myelocytomatosis oncogene (c-Myc) was also evaluated. Finally, a xenograft model was established to verify the results. RESULTS: SMUG1 was highly expressed in pancreatic tumor tissues and cells, which also predicted a poor prognosis. Downregulation of SMUG1 inhibited the proliferation, G1 to S transition, migration, and DNA damage repair ability against gemcitabine in pancreatic cancer cells. SMUG1 exerted its function by binding with FOXQ1 to activate the Protein Kinase B (AKT)/p21 and p27 pathway. Moreover, SMUG1 also stabilized the c-Myc protein via AKT signaling in pancreatic cancer cells. CONCLUSIONS SMUG1 promotes proliferation, migration, gemcitabine resistance, and c-Myc protein stability in pancreatic cancer via protein kinase B signaling through binding with FOXQ1. Furthermore, SMUG1 may be a new potential prognostic and gemcitabine resistance predictor in pancreatic ductal adenocarcinoma.
Humans ; Pancreatic Neoplasms/pathology* ; Forkhead Transcription Factors/genetics* ; Signal Transduction/genetics* ; Animals ; Cell Line, Tumor ; Proto-Oncogene Proteins c-akt/metabolism* ; Cell Proliferation/physiology* ; Mice ; Uracil-DNA Glycosidase/genetics* ; Female ; Male ; Gemcitabine ; Mice, Nude ; Apoptosis/physiology* ; Deoxycytidine/analogs & derivatives* ; Cell Movement/genetics*

AIM:To investigate the therapeutic effect of enteric-coated sustained-release new dosage form of tadalafil on mice with renal fibrosis caused by unilateral ureteral obstruction(UUO).METHODS:Eight-week-old male C57BL/6J mice were divided into four groups randomly:sham group,UUO group,UUO+new dosage form of tadalafil(1 mg/kg)group and UUO+original patented drug of tadalafil(5 mg/kg)group.Surgery was performed to create a mouse UUO model,and therapeutic drugs were administered intragastrically for 7 d after modeling.A fully automated biochemi-cal analyzer was used to detect serum creatinine(SCr)levels of each group.Through renal histopathological staining(HE staining,Masson trichrome staining,and immunohistochemistry staining)and Western blot,we assessed the therapeutic effect of enteric-coated sustained-release new dosage forms of tadalafil on kidney fibrosis in mice,as well as its effect on the expression and distribution of fibronectin(FN)and α-smooth muscle actin(α-SMA).RESULTS:Compared with sham group,the SCr levels were significantly increased in mice with renal fibrosis,and renal tubules were dilated and in-filtrated with inflammation.Moreover,the expressions of FN and α-SMA were increased significantly(P<0.05).New dosage form and the original patented drug tadalafil both significantly reduced SCr levels in mice with renal fibrosis,im-proved the renal tissue structure on the affected side,reduced collagen fiber deposition,and inhibited FN and α-SMA ex-pression(P<0.05).CONCLUSION:Enteric-coated sustained-release new dosage form of tadalafil reduces the deposit of extracellular matrix in kidney interstitial tissue and attenuates fibrosis and renal function damage caused by ureteral ob-struction.New dosage form of tadalafil has significant advantages over the original patented drug because the low dose and high effectiveness.

Objective To propose a distribution feature extraction algorithm based on wavelet packet coefficients to reconstruct the signal energy sequence for effectively identifying the pathological features of heart sounds,thereby realizing the early screening of heart diseases.Methods The original heart sound signal was decomposed into 10 layers using wavelet packet decomposition algorithm.After obtaining the wavelet packet coefficients of each layer,each coefficient was reconstructed,and the energy of the reconstructed signal was calculated and arranged in the original order to form the energy sequence.The distribution characteristics of the energy sequence of the reconstructed signals at each layer were analyzed,and distribution features were taken as classification features.Support vector machine,K-nearest neighbor,and decision tree were used to classify and recognize normal heart sounds and the heart sound signals of various diseases.Results The combination of the distribution features of the reconstructed signal energy sequence and decision tree classifier had an accuracy of 93.6%for classifying 5 types of heart sounds on the public dataset,and the accuracy was 95.6%for identifying normal heart sounds and hypertrophic cardiomyopathy heart sounds.Conclusion The proposed algorithm can extract the effective pathological information of abnormal heart sounds,providing a reference for clinical cardiac auscultation.

Objective When the competition risk exists,the method based on restricted mean time lost(RMTL)has fewer model assumptions and more intuitive explanation.The intergroup effect size is RMTL difference(RMTLd).The corresponding hypothesis test is based on large samples,but the performance effect under small samples is unknown.Methods In this study,we explore the performance of RMTLd under small samples,and develop several variable conversion methods of RMTL to improve the statistical performance,and evaluate their type I error and power in different situations by Monte-Carlo simulation.Results In the case of small samples,the original method of RMTLd test has the phenomenon of type I error expansion,while the logic transformation method,which is one of the four transformation methods,can maintain good statistical performance.Conclusion When analyzing small sample competitive risk data,it is recommended to use the logical transformation of RMTL for statistical analysis.

Male ; Humans ; Varicocele/surgery* ; Treatment Outcome ; Abdomen ; Vascular Surgical Procedures ; Microsurgery

Humans ; Depressive Disorder, Major ; Motor Cortex ; Magnetic Resonance Imaging

Objective: To investigate the neural connections between Shenmen (HT7)-heart and the brain by observing the tracing viruses co-labeled brain nuclear groups after injection of the pseudorabies viruses (PRV), the reverse transsynaptic virus tracer carrying different fluorescent protein genes, into the myocardium and Shenmen (HT7) point, respectively.Methods: Pseudorabies virus 531 (PRV531) carrying the green fluorescent protein gene and pseudorabies virus 724 (PRV724) carrying the red fluorescent protein gene were injected into the left ventricular wall and Shenmen (HT7) point area of the left forelimb of six C57BL/6 mice, respectively. After 120 h, whole brain tissue was extracted under 4％ paraformaldehyde perfusion to prepare brain sections. Neuronal co-labeling with the tracing viruses was observed under fluorescence microscopy. Results: Co-labeled signals from the mouse ventricular wall and Shenmen (HT7) point region were found at all levels of the mouse central nervous areas, such as the cerebral cortex, hypothalamus, midbrain, pons, and medulla oblongata. The number of co-labeled neurons was higher in the primary motor area, the hypothalamic paraventricular nucleus, the subceruleus nucleus, and the paramedian reticular nucleus. Conclusion: There is a neural connection between Shenmen (HT7), the heart, and the brain, which may be most closely related to the autonomic nervous system.

ObjectiveTo evaluate the effects of dehydrocostus lactone （DL） on the proliferation， apoptosis， and autophagy of human lung cancer cell A549 and to elucidate its related mechanism. MethodThe effect of DL with different concentrations （0， 5， 10， 15， 20， 25 μmol·L^-1） on the proliferation of human lung cancer A549 cells was investigated by cell counting kit-8 （CCK-8）， and its impact on the clonogenic ability of A549 cells was studied by cell clonogenic assay. The concentrations 10， 20 μmol·L^-1 were selected as DL low-dose group and high-dose group. Hoechst 33258 staining and western blot were used to observe the effect of DL on apoptosis of A549 cells. Autolysosomes were detected by acridine orange staining， and the expression level of microtubule-associated protein 1 light chain 3 （LC3） was determined by immunofluorescence and western blot. In addition， the effects of DL in combination with autophagy inhibitors bafilomycin A1 （BAF-A1） or 3-methyladenine （3-MA） on the autophagy of A549 cells was checked by CCK-8 assay. Finally， the role of DL in the regulation of A549 cell signaling pathway was explored by Western blot. ResultCompared with the conditions in the control group， the survival rate of A549 cells in the DL groups （10， 15， 20， 25 μmol·L^-1） was decreased （P<0.01）， and 5 μmol·L^-1 DL could inhibited the formation of A549 clone cells （P<0.01）， indicating that DL could inhibit the proliferation of human lung cancer A549 cells. The number of apoptotic cells was higher in both DL low-dose and high-dose groups than that in the control group， and the expression of apoptosis-related proteins poly （ADP ribose） polymerase （PARP） and B lymphocytoma-2 （Bcl-2）-associated X protein （Bax） were up-regulated （P<0.05， P<0.01）， while the expression of Bcl-2 was down-regulated （P<0.01） in DL high-dose group. The acridine orange staining showed that the orange fluorescence in the DL high-dose group was enhanced compared with that in the control group， indicating that DL could dramatically promote the formation of autolysosomes. Moreover， 20 μmol·L^-1 DL could increase the orange fluorescent particles of LC3 and up-regulated the expression level of LC3 Ⅱ （P<0.01）. After addition of autophagy inhibitors， the sensitivity of A549 cells to the effects of DL was attenuated （P<0.01）， which suggested that autophagy was involved in DL-induced A549 cell death. Compared with the control group， DL high-dose group had increased expression of autophagy-related protein 3 （Atg3） and autophagy-related protein 5 （Atg5） while reduced phosphorylation levels of protein kinase B （Akt）， mammalian target of rapamycin （mTOR） and signal transducer and activator of transcription 3 （STAT3） （P<0.05， P<0.01）. ConclusionDL could activate apoptosis and autophagy to inhibit the proliferation and clonogenic ability of A549 cells via suppressing Akt/mTOR/STAT3 signaling pathway.

The implantation of biventricular assist device (BiVAD) is more challenging than that of left ventricular assist device for the interaction in the process of multiple input and output. Besides, ventricular assist device (VAD) often runs in constant speed (CS) mode in clinical use and thus BiVAD also faces the problems of low pulsation and imbalance of blood volume between systemic circulation and pulmonary circulation. In this paper, a delay assist mode for a VAD by shortening the support time of VAD was put forward. Then, the effect of the delay mode on cardiac output, pulsation and the function of the aortic valve was observed by numerical method and the rules of hemodynamics were revealed. The research showed that compared with VAD supported in CS mode, the VAD using delay mode in systolic and diastolic period proposed in this paper could meet the demand of cardiac output perfusion and restore the function of the arterial valves. The open ratio of aortic valve (AV) and pulmonary valve (PV) increased with the time set in delay mode, and the blood through the AV/PV helped to balance the left and the right cardiac volume. Besides, delay mode also improved the pulsation index of arterial blood flow, which is conducive to the recovery of the ventricular pulse function of patients.
Cardiovascular System ; Diastole ; Heart Failure ; Heart Rate ; Heart-Assist Devices ; Hemodynamics ; Humans ; Models, Cardiovascular