A Prospective Randomized Trial of Neoadjuvant Chemohormonal Therapy vs Hormonal Therapy in Locally Advanced Prostate Cancer Treated by Radical Prostatectomy.

PURPOSE: Benefits of docetaxel-based neoadjuvant chemohormonal therapy (NCHT) before radical prostatectomy (RP) remain largely unknown. We explored whether docetaxel-based NCHT would bring pathological benefits and improve biochemical progression-free survival (bPFS) over neoadjuvant hormonal therapy (NHT) in locally advanced prostate cancer. MATERIALS AND METHODS: A randomized trial was designed recruiting 141 locally advanced, high-risk prostate cancer patients who were randomly assigned at the ratio of 2:1 to the NCHT group (75 mg/m2 body surface area every 3 weeks plus androgen deprivation therapy for 6 cycles) and the NHT group (androgen deprivation therapy for 24 weeks). The primary end point was 3-year bPFS. Secondary end points were pathological response including pathological downstaging and minimal residual disease rates. RESULTS: The NCHT group showed significant benefits in 3-year bPFS compared to the NHT group (29% vs 9.5%, P = .002). At a median follow-up of 53 months, the NCHT group achieved a significantly longer median bPFS time than the NHT group (17 months vs 14 months). No significant differences were found between the 2 groups in pathological downstaging and minimal residual disease rates. CONCLUSIONS: NCHT plus RP achieved significant bPFS benefits when compared with NHT plus RP in high-risk, locally advanced prostate cancer. A larger cohort with longer follow-up duration is essential in further investigation.

[Diagnosis of pulmonary hypertension associated with congenital heart disease based on statistical features of the second heart sound].

Aiming at the problems of obscure clinical auscultation features of pulmonary hypertension associated with congenital heart disease and the complexity of existing machine-aided diagnostic algorithms, an algorithm based on the statistical characteristics of the high-frequency components of the second heart sound signal is proposed. Firstly, an endpoint detection adaptive segmentation method is employed to extract the second heart sounds. Subsequently, the high-frequency component of the heart sound is decomposed using the discrete wavelet transform. Statistical features including the Hurst exponent, Lempel-Ziv information and sample entropy are extracted from this component. Finally, the extracted features are utilized to train an extreme gradient boosting algorithm (XGBoost) classifier, which achieves an accuracy of 80.45% in triple classification. Notably, this method eliminates the need for a noise reduction algorithm, allows for swift feature extraction, and achieves effective multi-classification using only three features. It is promising for early screening of pulmonary hypertension associated with congenital heart disease.

[Research on bark-frequency spectral coefficients heart sound classification algorithm based on multiple window time-frequency reassignment].

The multi-window time-frequency reassignment helps to improve the time-frequency resolution of bark-frequency spectral coefficient (BFSC) analysis of heart sounds. For this purpose, a new heart sound classification algorithm combining feature extraction based on multi-window time-frequency reassignment BFSC with deep learning was proposed in this paper. Firstly, the randomly intercepted heart sound segments are preprocessed with amplitude normalization, the heart sounds were framed and time-frequency rearrangement based on short-time Fourier transforms were computed using multiple orthogonal windows. A smooth spectrum estimate is calculated by arithmetic averaging each of the obtained independent spectra. Finally, the BFSC of reassignment spectrum is extracted as a feature by the Bark filter bank. In this paper, convolutional network and recurrent neural network are used as classifiers for model comparison and performance evaluation of the extracted features. Eventually, the multi-window time-frequency rearrangement improved BFSC method extracts more discriminative features, with a binary classification accuracy of 0.936, a sensitivity of 0.946, and a specificity of 0.922. These results present that the algorithm proposed in this paper does not need to segment the heart sounds and randomly intercepts the heart sound segments, which greatly simplifies the computational process and is expected to be used for screening of congenital heart disease.

Baseline PSMA-PET/CT as a predictor of PSA persistence following radical prostatectomy in high-risk nonmetastatic prostate cancer patients receiving neoadjuvant therapy.

BACKGROUND: The precise staging and proper management of high-risk prostate cancer (PCa) continues to be a challenge. We aimed to demonstrate the prognostic value of baseline prostate-specific membrane antigen-ligand positron emission tomography/computed tomography (PSMA-PET/CT) in high-risk, nonmetastatic PCa patients who received neoadjuvant hormonal or chemohormonal treatment followed by radical prostatectomy (RP). METHODS: We performed retrospective analyses of 70 patients with high-risk, nonmetastatic PCa confirmed by biopsy between 2018 and 2021. All patients underwent neoadjuvant therapy followed by RP and pelvic lymph node dissection (PLND); PSMA-PET/CT was performed before initiation of neoadjuvant therapy. Acquired image information and clinical characteristics/outcomes were examined for possible associations. RESULTS: Among 70 high-risk PCa patients, median age was 69 years old and median prostate specific antigen (PSA) at presentation was 58.5 ng/mL. Thirty (42.9%) patients had uptake of the PSMA tracer only in the primary PCa lesions and 40 (57.1%) patients had PSMA-positive lesions in regional or distant sites. Sixteen (32%) localized PCa patients defined by pre-PET magnetic resonance imaging were found to have locally advanced PCa based on PSMA-PET/CT. Fifteen (30%) localized PCa patients and 7 (35%) locally advanced PCa patients were upstaged to metastatic PCa. The sensitivity and specificity of PSMA-PET/CT for the detection of lymph node involvement were 90.9% and 69.5%, respectively, with a positive prediction value of 35.7% and negative prediction value of 97.6%. The diagnostic accuracy was 72.9%. Univariate analysis showed upstaging, tumor stage, and metastasis location based on PSMA-PET/CT are predictors to PSA persistence after surgery, while multivariate logistic regression analysis showed only the tumor stage based on PSMA-PET/CT remained an independent predictor of the outcome. CONCLUSIONS: This study further highlights the accuracy and necessity of PSMA-PET/CT in newly diagnosed, high-risk, nonmetastatic PCa patients.

The application of "S.I.S" technique improves long-term continence after robotic radical prostatectomy.

AIMS: To propose a novel S.I.S technique during the robotic-assisted radical prostatectomy (RARP), encompassing pubourethral suspension, posterior wall intensification, and bladder neck stripping, and to present functional and oncological outcomes with a special focus on long-term continence. METHODS: From January 1, 2018, to December 31, 2019, consecutive patients who underwent RARP were retrospectively investigated and separated into the S.I.S group and the conventional group. Preoperative patient characteristics, tumor status, and perioperative parameters were collected, followed by the assessment of self-reported status on continence, using an International Consultation on Incontinence Modular Questionnaire-urinary incontinence short form (ICIQ-UI-SF). Statistical comparisons were performed on variables between the two surgery groups, and multivariate logistic regression analysis was used to determine predictive factors for postoperative incontinence severity. RESULTS: A total of 602 subjects were analyzed with a median follow-up of 24 months. There was no significant difference regarding baseline characteristics and perioperative parameters, except for a more advanced tumor stage in the S.I.S group. The application of the S.I.S technique did not jeopardize the positive surgical margin rate at the bladder neck or long-term tumor control. Notably, the patient-reported degree of incontinence was significantly reduced with the assistance of S.I.S technique, as evidenced by the diminished severe-to-very severe cases. On multivariate analysis, both preoperative body mass index and use of S.I.S modification were independent predictive factors for the long-term incontinence severity. CONCLUSIONS: The application of S.I.S technique during RARP is feasible and superior compare with the conventional approach, with a significantly alleviated long-term incontinence severity, without compromising cancer control.

[Heart sound classification algorithm based on time-frequency combination feature and adaptive fuzzy neural network].

Feature extraction methods and classifier selection are two critical steps in heart sound classification. To capture the pathological features of heart sound signals, this paper introduces a feature extraction method that combines mel-frequency cepstral coefficients (MFCC) and power spectral density (PSD). Unlike conventional classifiers, the adaptive neuro-fuzzy inference system (ANFIS) was chosen as the classifier for this study. In terms of experimental design, we compared different PSDs across various time intervals and frequency ranges, selecting the characteristics with the most effective classification outcomes. We compared four statistical properties, including mean PSD, standard deviation PSD, variance PSD, and median PSD. Through experimental comparisons, we found that combining the features of median PSD and MFCC with heart sound systolic period of 100-300 Hz yielded the best results. The accuracy, precision, sensitivity, specificity, and F1 score were determined to be 96.50%, 99.27%, 93.35%, 99.60%, and 96.35%, respectively. These results demonstrate the algorithm's significant potential for aiding in the diagnosis of congenital heart disease.

[Asthma management and asthma control level in children]. / å„¿ç«¥å“®å–˜ç®¡ç†ä¸Žå“®å–˜æŽ§åˆ¶æ°´å¹³çš„ä¸´åºŠç ”ç©¶.

OBJECTIVES: To investigate the influencing factors for asthma management and asthma control level in children. METHODS: A total of 202 children with a confirmed diagnosis of asthma were enrolled. The questionnaire of asthma control level and family management was used to investigate the influencing factors for asthma control level and the indicators of family management. The awareness of childhood asthma and its management was analyzed among the parents, as well as the influence on asthma control level in children, and the association between them was analyzed. RESULTS: Compared with the non-complete control group, the complete control group had significantly longer course of asthma and treatment time (P<0.05). The proportions of asthma attacks ≥3 times and aerosol treatment for asthma attacks >3 times in one year in the complete control group were significantly lower than those in the non-complete control group (P<0.05). The complete control group had a significantly lower proportion of children with frequent respiratory infection, wheezing during respiratory infection, or a family history of allergic diseases (P<0.05). The parents in the complete control group had significantly stronger awareness of short-term escalation to asthma medication after respiratory infection and significantly enhanced management of maintenance medication (P<0.05). Compared with the complete control group, the non-complete control group had a significantly higher proportion of children with abnormal pulmonary function at the initial stage (P<0.05). The level of asthma control in children was associated with short-term escalation to asthma medication during respiratory infection and initial lung function (P<0.05). CONCLUSIONS: The level of asthma control in children is closely associated with the severity of asthma and the comprehensive management of childhood asthma. Early treatment and family management, especially escalation to asthma medication during the early stage of respiratory infection, are of great importance in asthma control. Citation:Chinese Journal of Contemporary Pediatrics, 2023, 25(1): 73-79.

[Heart sound classification based on improved mel frequency cepstrum coefficient and integrated decision network method].

Heart sound analysis is significant for early diagnosis of congenital heart disease. A novel method of heart sound classification was proposed in this paper, in which the traditional mel frequency cepstral coefficient (MFCC) method was improved by using the Fisher discriminant half raised-sine function (F-HRSF) and an integrated decision network was used as classifier. It does not rely on segmentation of the cardiac cycle. Firstly, the heart sound signals were framed and windowed. Then, the features of heart sounds were extracted by using improved MFCC, in which the F-HRSF was used to weight sub-band components of MFCC according to the Fisher discriminant ratio of each sub-band component and the raised half sine function. Three classification networks, convolutional neural network (CNN), long and short-term memory network (LSTM), and gated recurrent unit (GRU) were combined as integrated decision network. Finally, the two-category classification results were obtained through the majority voting algorithm. An accuracy of 92.15%, sensitivity of 91.43%, specificity of 92.83%, corrected accuracy of 92.01%, and F score of 92.13% were achieved using the novel signal processing techniques. It shows that the algorithm has great potential in early diagnosis of congenital heart disease.

HOXD13 suppresses prostate cancer metastasis and BMP4-induced epithelial-mesenchymal transition by inhibiting SMAD1.

The HOX genes are a group of highly conserved Homeobox-containing genes that control the body plan organization during development. However, their contributions to tumorigenesis and tumor progression remain uncertain and controversial. Here we provided evidence of tumor-suppressive activity of HOXD13 in prostate cancer. HOXD13 depletion contributes to more aggressiveness of prostate cancer cells in vitro and in vivo. These effects were corroborated in a metastatic mice model, where we observed more bone metastatic lesions formed by prostate cancer cells with HOXD13 ablation. Mechanistically, HOXD13 prevents BMP4-induced epithelial-mesenchymal transition (EMT) by inhibiting mothers against decapentaplegic homolog 1 (SMAD1) transcription. Both bioinformation and our tissue microarray cohort data show that HOXD13 expression inversely correlated in advanced prostate cancer patient specimens. Our findings establish HOXD13 as a negative regulator of prostate cancer progression and metastasis by preventing BMP4/SMAD1 signaling, and potentially suggest new strategies for targeting metastatic prostate cancer.

The prognostic nomogram including MRI for locally advanced prostate cancer treated by radical prostatectomy.

OBJECTIVE: To establish the prognostic nomogram for locally advanced prostate cancer (LAPC) patients treated by radical prostatectomy (RP) based on clinical and multiparametric-MRI (mp-MRI) metrics. METHODS: One hundred and twenty-one patients diagnosed with LAPC were included in this study. They were all examined by mp-MRI within one week before surgery and treated by RP (36 with RP alone, 48 with neoadjuvant hormonal therapy (NHT) and 37 with neoadjuvant chemohormonal therapy (NCHT)). The biochemical progression-free survival (bPFS) was analyzed by Kaplan-Meier method. Univariate and multivariate analysis were used to determine prognostic factors that were related with bPFS. The prognostic nomogram was established by factors that were significant in multivariate analyses. RESULTS: The median bPFS had significant difference in the subgroup of treatment (RP alone: 2 [0.00-5.04] vs. NHT: 9.3 [6.746-11.854] vs. NCHT: 11.17 [0.000-25.075] months [Log rank p < .001]), the subgroup of hyperintensity within prostate in DWI (negative: 15.97 [11.202-20.731] vs. positive: 5.2 [2.952-7.448] months [Log rank p < .001]) and the subgroup of pelvic lymph node metastasis (negative: 10.2 [8.404-11.996] vs. unilateral: 4.43 [0.000-11.086] vs. Bilateral: 1.83 [0.636~3.031] [Log rank p < .001]). The method of treatment (hazards ratio [HR], 0.566; 95% confidence interval [CI], 0.356-0.899; p = .016), hyperintensity within prostate in DWI (HR, 2.539; 95% CI, 1.349-4.779; p = .004) and the metastasis burden of pelvic lymph node (HR, 2.492; 95% CI, 1.645-3.777; p < .001) were identified as independent predictors with significance in multivariable Cox regression analysis. The nomogram was established based on these three factors. CONCLUSION: We established a nomogram based on three significant prognosis factors including the neoadjuvant therapeutic schedule, hyperintensity within prostate in DWI and the metastasis burden of pelvic lymph nodes, which were associated with the clinical outcomes in LAPC patients after surgery.

Targeted Next-Generation Sequencing Reveals Heterogenous Genomic Features in Viscerally Metastatic Prostate Cancer.

PURPOSE: We sought to explore the genomic features of bone-only metastasis, hepatic metastasis and pulmonary metastasis without liver involvement in prostate cancer using targeted next-generation sequencing. MATERIALS AND METHODS: A hybridization capture-based next-generation sequencing was performed to detected genomic alterations in 50 genes, including androgen receptor, DNA damage response and other clinical relevant drivers. RESULTS: We successfully sequenced circulating tumor DNA from 109 blood samples and 29 metastatic tissue samples from 129 patients with metastatic castration-resistant prostate cancer (metastatic castration-resistant prostate cancer). We observed distinct genomic profiles of metastatic castration-resistant prostate cancer across various metastatic sites. High prevalence of PTEN alteration was found in viscerally metastatic prostate cancer compared with bone-only metastatic prostate cancer (PTEN, 9.09% vs 2.08%, p=0.105). When comparing viscerally metastatic prostate cancer according to the metastatic sites, AR alteration rarely occurs in hepatically metastatic prostate cancer, which stood in great contrast to the high alteration frequency in hepatically metastatic prostate cancer (0.0% vs 42.1%, p=0.01). For overall DNA damage response alteration, the highest frequency was found in hepatically metastatic prostate cancer (63.2%). CONCLUSIONS: Through genomic profiling of prostate cancer across various metastatic sites, we identified an extremely low frequency of AR alterations in pulmonarily metastatic prostate cancer without liver involvement, high prevalence of DNA damage response pathway deficiency in hepatically metastatic prostate cancer and high PTEN alteration rates in viscerally metastatic prostate cancer. We discovered the genomic diversity among bone-only metastatic prostate cancer, hepatically metastatic prostate cancer and pulmonarily metastatic prostate cancer without liver involvement. Our findings shed new light on the heterogenous prognosis in visceral metastases and hint at potential therapeutic targets in both hepatically metastatic prostate cancer and pulmonarily metastatic prostate cancer without liver involvement.

Comparative Analysis of Genomic Alterations across Castration Sensitive and Castration Resistant Prostate Cancer via Circulating Tumor DNA Sequencing.

PURPOSE: To explore the genomic profiles of Chinese patients with castration sensitive prostate cancer and those with metastatic castration resistant prostate cancer via germline and circulating tumor DNA sequencing. MATERIALS AND METHODS: A hybridization capture based next-generation sequencing assay was used to identify germline and somatic alterations in 50 genes including androgen receptor pathway genes, DNA damage repair pathway genes, TP53 and RB1. RESULTS: We successfully sequenced DNA from 396 blood samples and 32 matched tumor tissue samples from 396 patients. We observed a similar frequency of deleterious germline alterations between patients with castration sensitive prostate cancer and metastatic castration resistant prostate cancer (8.9% vs 9.8%, p >0.05). There was a high consistency (90.9%) between metastatic tumor tissue and matched circulating tumor DNA. Among patients who were circulating tumor DNA positive we observed significantly higher alteration frequencies of CDK12 (27.2% vs 6.4%, p <0.001) and FOXA1 (36.8% vs 15.3%, p <0.001) in our metastatic castration resistant prostate cancer cohort compared with the SU2C-PCF (Stand Up to Cancer-Prostate Cancer Foundation) cohort. Alteration frequencies of DNA damage repair pathway genes (66.7% vs 41.5%, p=0.015) and androgen receptor pathway genes (71.9% vs 48.8%, p=0.018) in patients with metastatic castration resistant prostate cancer were higher than in patients with de novo metastatic castration sensitive prostate cancer. Androgen receptor alteration was selectively enriched in metastatic castration resistant prostate cancer. CONCLUSIONS: Through genomic profiling of prostate cancer across clinical states we identified a similar frequency of deleterious germline alterations between patients with castration sensitive prostate cancer and metastatic castration resistant prostate cancer. We explored the genomic diversity of androgen receptor and DNA damage repair pathway genes between patients with metastatic castration sensitive prostate cancer and metastatic castration resistant prostate cancer. Higher alteration frequencies of CDK12 and FOXA1 were observed in our metastatic castration resistant prostate cancer cohort than in the SU2C-PCF cohort. Our findings support the view that circulating tumor DNA sequencing could guide clinical treatment for metastatic prostate cancer.

Distinct Response to Platinum-Based Chemotherapy among Patients with Metastatic Castration-Resistant Prostate Cancer Harboring Alterations in Genes Involved in Homologous Recombination.

PURPOSE: We aimed to explore the association between genomic status and clinical outcome of platinum-based chemotherapy among patients with metastatic castration-resistant prostate cancer (mCRPC). MATERIALS AND METHODS: We conducted a retrospective study of 55 patients with mCRPC who received platinum-based chemotherapy after the progression to docetaxel chemotherapy and underwent genomic profiling of 14 homologous recombination (HR) pathway genes. Progression-free survival (PFS) was analyzed using the Kaplan-Meier method. RESULTS: Of 55 patients, 23 harbored genomic defects in HR pathway genes. Median prostate specific antigen (PSA)-PFS for the HR defect group was 6.7 months compared with 2.6 months for the no HR defect group (p=0.001). The patients harboring somatic HR defect displayed shorter PSA-PFS than those harboring germline HR defect (4.5 months vs not available; p=0.066). The PSA50 (patients who survived for 12 weeks and had a PSA decline over 50% from baseline) response rate displayed higher in patients harboring BRCA2 or ATM defect (6/8, 75.0%) than in those harboring CDK12 defect (2/9, 22.2%; p=0.06). Patients harboring BRCA2 or ATM defect displayed prolonged PSA-PFS, compared with those harboring CDK12 defect and those harboring other HR defect (p=0.038). In multivariate Cox regression analysis, HR defect and BRCA2 or ATM defect were independent significant factors associated with superior PAS-PFS to platinum-based chemotherapy. CONCLUSIONS: The patients with mCRPC harboring alterations in different HR genes displayed distinct response to platinum-based chemotherapy. Patients with mCRPC harboring genomic defects in crucial HR genes either in the germline or somatic, especially BRCA2 and ATM, might experience superior outcomes to platinum-based chemotherapy, compared with those harboring CDK12 defect.

Use of Circulating Tumor DNA for the Clinical Management of Metastatic Castration-Resistant Prostate Cancer: A Multicenter, Real-World Study.

BACKGROUND: This study aimed to describe the aberrations of DNA damage repair genes and other important driving genes in Chinese patients with metastatic castration-resistant prostate cancer (mCRPC) using circulating tumor (ctDNA) sequencing and to evaluate the associations between the clinical outcomes of multiple therapies and key genomic alterations in mCRPC, especially DNA damage repair genes. PATIENTS AND METHODS: A total of 292 Chinese patients with mCRPC enrolled from 8 centers. Multigene targeted sequencing was performed on 306 ctDNA samples and 23 matched tumor biopsies. The frequency of genomic alterations were compared with the Stand Up to Cancer-Prostate Cancer Foundation (SU2C-PCF) cohort. The Kaplan-Meier method was used to evaluate progression-free survival (PFS) following standard systemic treatments for mCRPC. Cox regression analyses were performed to determine prognostic factors associated with PFS resulting from treatments for mCRPC. RESULTS: In total, 33 of 36 (91.7%) mutations were found consistently between ctDNA and paired biopsy samples. The most common recurrent genomic alterations were found in AR (34.6%), TP53 (19.5%), CDK12 (15.4%), BRCA2 (13%), and RB1 (5.8%). The frequency of CDK12 alterations (15.4%) in our cohort was significantly higher than that in Western populations (5%-7%). AR amplification and TP53 and/or RB1 alterations were associated with resistance to abiraterone or docetaxel. Patients with a CDK12 defect showed rapid disease progression after abiraterone treatment. However, the clinical outcome after docetaxel treatment was similar between patients with and without CDK12 defects. In multivariate Cox regression analysis, a CDK12 defect was significantly associated with inferior PFS after abiraterone treatment. Patients with a BRCA2 defect showed marked response to both PARP inhibitors and platinum-based chemotherapy. CONCLUSIONS: Our study explored the genomic landscape of Chinese patients with mCRPC at different treatment stages using minimally invasive methods and evaluated the clinical implications of the driver genomic alterations on patients' response to the most widely used therapies for mCRPC. We observed a significantly higher alteration frequency of CDK12 in our cohort compared with the SU2C-PCF cohort.

[Heart sound classification based on sub-band envelope and convolution neural network].

Automatic classification of heart sounds plays an important role in the early diagnosis of congenital heart disease. A kind of heart sound classification algorithms based on sub-band envelope feature and convolution neural network was proposed in this paper, which did not need to segment the heart sounds according to cardiac cycle accurately. Firstly, the heart sound signal was divided into some frames. Then, the frame level heart sound signal was filtered with Gammatone filter bank to obtain the sub-band signals. Next, the sub-band envelope was extracted by Hilbert transform. After that, the sub-band envelope was stacked into a feature map. Finally, type Ⅰ and type Ⅱ convolution neural network were selected as classifier. The result shown that the sub-band envelope feature was better in type Ⅰ than type Ⅱ. The algorithm is tested with 1 000 heart sound samples. The test results show that the overall performance of the algorithm proposed in this paper is significantly improved compared with other similar algorithms, which provides a new method for automatic classification of congenital heart disease, and speeds up the process of automatic classification of heart sounds applied to the actual screening.

Upregulated KDM4B promotes prostate cancer cell proliferation by activating autophagy.

Castration-resistant prostate cancer (CRPC) causes most of the deaths in patients with prostate cancer (PCa). The androgen receptor (AR) axis plays an important role in castration resistance. Emerging studies showed that the lysine demethylase KDM4B is a key molecule in AR signaling and turnover, and autophagy plays an important role in CRPC. However, little is known about whether KDM4B promotes CRPC progression by regulating autophagy. Here we used an androgen-independent LNCaP (LNCaP-AI) cell line to assay aberrant KDM4B expression using qPCR and western blot analysis and investigated the function of KDM4B in regulating cell proliferation. We found that KDM4B was markedly increased in LNCaP-AI cells compared with LNCaP cells. KDM4B level was significantly correlated with the Gleason score in PCa tissues. In vitro, KDM4B overexpression in CRPC cells promoted cell proliferation, whereas knockdown of KDM4B significantly inhibited cell proliferation. Upregulated KDM4B contributed to activate Wnt/ß-catenin signaling and autophagy. Moreover, KDM4B activated autophagy by regulating the Wnt/ß-catenin signaling. Finally, we demonstrated that autophagy inhibition attenuated KDM4B-induced CRPC cell proliferation. Our results provided novel insights into the function of KDM4B-driven CRPC development and indicated that KDM4B may be served as a potential target for CRPC therapy.

Dynamic distribution of gut microbiota in meat rabbits at different growth stages and relationship with average daily gain (ADG).

BACKGROUND: The mammalian intestinal tract harbors diverse and dynamic microbial communities that play pivotal roles in host health, metabolism, immunity, and development. Average daily gain (ADG) is an important growth trait in meat rabbit industry. The effects of gut microbiota on ADG in meat rabbits are still unknown. RESULTS: In this study, we investigated the dynamic distribution of gut microbiota in commercial Ira rabbits from weaning to finishing and uncover the relationship between the microbiota and average daily gain (ADG) via 16S rRNA gene sequencing. The results indicated that the richness and diversity of gut microbiota significantly increased with age. Gut microbial structure was less variable among finishing rabbits than among weaning rabbits. The relative abundances of the dominant phyla Firmicutes, Bacteroidetes, Verrucomicrobia and Cyanobacteria, and the 15 predominant genera significantly varied with age. Metagenomic prediction analysis showed that both KOs and KEGG pathways related to the metabolism of monosaccharides and vitamins were enriched in the weaning rabbits, while those related to the metabolism of amino acids and polysaccharides were more abundant in the finishing rabbits. We identified 34 OTUs, 125 KOs, and 25 KEGG pathways that were significantly associated with ADG. OTUs annotation suggested that butyrate producing bacteria belong to the family Ruminococcaceae and Bacteroidales_S24-7_group were positively associated with ADG. Conversely, Eubacterium_coprostanoligenes_group, Christensenellaceae_R-7_group, and opportunistic pathogens were negatively associated with ADG. Both KOs and KEGG pathways correlated with the metabolism of vitamins, basic amino acids, and short chain fatty acids (SCFAs) showed positive correlations with ADG, while those correlated with aromatic amino acids metabolism and immune response exhibited negative correlations with ADG. In addition, our results suggested that 10.42% of the variation in weaning weight could be explained by the gut microbiome. CONCLUSIONS: Our findings give a glimpse into the dynamic shifts in gut microbiota of meat rabbits and provide a theoretical basis for gut microbiota modulation to improve ADG in the meat rabbit industry.

Deep convolutional neural networks combine Raman spectral signature of serum for prostate cancer bone metastases screening.

Prostate cancer most frequently metastasizes to bone, resulting in abnormal bone metabolism and the release of components into the blood stream. Here, we evaluated the capacity of convolutional neural networks (CNNs) to use Raman data for screening of prostate cancer bone metastases. We used label-free surface-enhanced Raman spectroscopy (SERS) to collect 1281 serum Raman spectra from 427 patients with prostate cancer, and then we constructed a CNN based on LetNet-5 to recognize prostate cancer patients with bone metastases. We then used 5-fold cross-validation method to train and test the CNN model and evaluated its actual performance. Our CNN model for bone metastases detection revealed a mean training accuracy of 99.51% ± 0.23%, mean testing accuracy of 81.70% ± 2.83%, mean testing sensitivity of 80.63% ± 5.07%, and mean testing specificity of 82.82% ± 2.94%.

[Segmentation of heart sound signals based on duration hidden Markov model].

Heart sound segmentation is a key step before heart sound classification. It refers to the processing of the acquired heart sound signal that separates the cardiac cycle into systolic and diastolic, etc. To solve the accuracy limitation of heart sound segmentation without relying on electrocardiogram, an algorithm based on the duration hidden Markov model (DHMM) was proposed. Firstly, the heart sound samples were positionally labeled. Then autocorrelation estimation method was used to estimate cardiac cycle duration, and Gaussian mixture distribution was used to model the duration of sample-state. Next, the hidden Markov model (HMM) was optimized in the training set and the DHMM was established. Finally, the Viterbi algorithm was used to track back the state of heart sounds to obtain S1, systole, S2 and diastole. 500 heart sound samples were used to test the performance of our algorithm. The average evaluation accuracy score (F1) was 0.933, the average sensitivity was 0.930, and the average accuracy rate was 0.936. Compared with other algorithms, the performance of our algorithm was more superior. It is proved that the algorithm has high robustness and anti-noise performance, which might provide a novel method for the feature extraction and analysis of heart sound signals collected in clinical environments.