GloEC: a hierarchical-aware global model for predicting enzyme function.

The annotation of enzyme function is a fundamental challenge in industrial biotechnology and pathologies. Numerous computational methods have been proposed to predict enzyme function by annotating enzyme labels with Enzyme Commission number. However, the existing methods face difficulties in modelling the hierarchical structure of enzyme label in a global view. Moreover, they haven't gone entirely to leverage the mutual interactions between different levels of enzyme label. In this paper, we formulate the hierarchy of enzyme label as a directed enzyme graph and propose a hierarchy-GCN (Graph Convolutional Network) encoder to globally model enzyme label dependency on the enzyme graph. Based on the enzyme hierarchy encoder, we develop an end-to-end hierarchical-aware global model named GloEC to predict enzyme function. GloEC learns hierarchical-aware enzyme label embeddings via the hierarchy-GCN encoder and conducts deductive fusion of label-aware enzyme features to predict enzyme labels. Meanwhile, our hierarchy-GCN encoder is designed to bidirectionally compute to investigate the enzyme label correlation information in both bottom-up and top-down manners, which has not been explored in enzyme function prediction. Comparative experiments on three benchmark datasets show that GloEC achieves better predictive performance as compared to the existing methods. The case studies also demonstrate that GloEC is capable of effectively predicting the function of isoenzyme. GloEC is available at: https://github.com/hyr0771/GloEC.

Classifying breast cancer subtypes on multi-omics data via sparse canonical correlation analysis and deep learning.

BACKGROUND: Classifying breast cancer subtypes is crucial for clinical diagnosis and treatment. However, the early symptoms of breast cancer may not be apparent. Rapid advances in high-throughput sequencing technology have led to generating large number of multi-omics biological data. Leveraging and integrating the available multi-omics data can effectively enhance the accuracy of identifying breast cancer subtypes. However, few efforts focus on identifying the associations of different omics data to predict the breast cancer subtypes. RESULTS: In this paper, we propose a differential sparse canonical correlation analysis network (DSCCN) for classifying the breast cancer subtypes. DSCCN performs differential analysis on multi-omics expression data to identify differentially expressed (DE) genes and adopts sparse canonical correlation analysis (SCCA) to mine highly correlated features between multi-omics DE-genes. Meanwhile, DSCCN uses multi-task deep learning neural network separately to train the correlated DE-genes to predict breast cancer subtypes, which spontaneously tackle the data heterogeneity problem in integrating multi-omics data. CONCLUSIONS: The experimental results show that by mining the associations among multi-omics data, DSCCN is more capable of accurately classifying breast cancer subtypes than the existing methods.

Exploring gene-patient association to identify personalized cancer driver genes by linear neighborhood propagation.

BACKGROUND: Driver genes play a vital role in the development of cancer. Identifying driver genes is critical for diagnosing and understanding cancer. However, challenges remain in identifying personalized driver genes due to tumor heterogeneity of cancer. Although many computational methods have been developed to solve this problem, few efforts have been undertaken to explore gene-patient associations to identify personalized driver genes. RESULTS: Here we propose a method called LPDriver to identify personalized cancer driver genes by employing linear neighborhood propagation model on individual genetic data. LPDriver builds personalized gene network based on the genetic data of individual patients, extracts the gene-patient associations from the bipartite graph of the personalized gene network and utilizes a linear neighborhood propagation model to mine gene-patient associations to detect personalized driver genes. The experimental results demonstrate that as compared to the existing methods, our method shows competitive performance and can predict cancer driver genes in a more accurate way. Furthermore, these results also show that besides revealing novel driver genes that have been reported to be related with cancer, LPDriver is also able to identify personalized cancer driver genes for individual patients by their network characteristics even if the mutation data of genes are hidden. CONCLUSIONS: LPDriver can provide an effective approach to predict personalized cancer driver genes, which could promote the diagnosis and treatment of cancer. The source code and data are freely available at https://github.com/hyr0771/LPDriver .

Retroperitoneoscopic Clampless, Sutureless Hybrid Therapy in the Management of Renal Hilar Tumors.

OBJECTIVE: We aimed to investigate the outcomes and feasibility of a retroperitoneoscopic clampless, sutureless hybrid technique in the management of renal hilar tumors. METHODS: A retrospective cohort of consecutive patients with renal hilar tumors who received retroperitoneoscopic clampless, sutureless hybrid therapy between January 2017 and April 2021 was included. The hybrid surgical technique involved microwave ablation (MWA), followed by clampless tumor enucleation and sutureless hemostasis. Surgical, pathological, and oncological outcomes were recorded and analyzed. RESULTS: Sixty patients were included in this study. The median tumor size was 3.5 cm (2-5), the median RENAL score was 7 (range 6-10), the median operative time was 110 min (70-130), and the median estimated blood loss was 80 mL (30-130). The median length of postoperative hospital stay was 3 days (2-4), and no warm ischemia time was observed, except in one patient who required conversion to conventional on-clamp laparoscopic partial nephrectomy (LPN) with a 10 min warm ischemia time. Three minor complications (Clavien-Dindo grade I) and one major complication (Clavien-Dindo grade III) were recorded postoperatively. Thus far, no blood transfusions have been required. Renal dysfunction or tumor recurrence did not occur within a median follow-up of 45 months. CONCLUSION: The retroperitoneoscopic hybrid technique involving MWA, clampless tumor enucleation, and sutureless hemostasis is a feasible and safe option for the management of selective renal hilar tumors. Complete tumor removal with maximal renal function preservation can be achieved, with a low complication rate.

CDCA5-EEF1A1 interaction promotes progression of clear cell renal cell carcinoma by regulating mTOR signaling.

BACKGROUND: Cell division cycle associated 5 (CDCA5) plays ontogenetic role in various human cancers. However, its specific function and regulatory mechanism in ccRCC remain uncertain. METHODS: Immunohistochemistry and western blots were performed to investigate the expression of CDCA5 in ccRCC tissues. Genetic knockdown and upregulation of CDCA5 were performed to investigate its functional roles in ccRCC proliferation, migration, apoptosis and sunitinib resistance. Furthermore, Co-IP assay and LC-MS/MS were performed to investigate the underlying mechanisms. RESULTS: We found that CDCA5 expression is frequently upregulated in ccRCC tumors and is associated with poor prognosis of ccRCC patients. Functionally, CDCA5 promotes proliferation, migration, and sunitinib resistance, while inhibiting apoptosis in ccRCC cells. In vivo mouse xenograft model confirms that silencing of CDCA5 drastically inhibits the growth of ccRCC. Mechanistically, we discovered that CDCA5 interacts with Eukaryotic Translation Elongation Factor 1 Alpha 1 (EEF1A1) to regulate mTOR signaling pathway, thereby promoting ccRCC progression. CONCLUSIONS: Taken together, our results demonstrate the significant role of CDCA5 in ccRCC progression. The findings may provide insights for the development of new treatment strategies targeting CDCA5 for ccRCC patients.

Fabrication of well-aligned Co-MOF arrays through a controlled and moderate process for the development of a flexible tetrabromobisphenol A sensor.

Tetrabromobisphenol A (TBBPA) has attracted a great deal of attention due to its side effects and potential bioaccumulation properties. It is of great importance to construct and develop novel electrochemical sensors for the sensitive and selective detection of TBBPA. In the present study, cobalt (Co) based metal-organic frameworks (MOFs) were synthesized on carbon cloth (CC) by using cobalt nitrate hexahydrate and 2-methylimidazole. The morphological characterization was carried out by transmission electron microscopy (TEM), scanning electron microscopy (SEM), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) and Fourier transform infrared spectroscopy (FTIR). The results showed that Co-MOFs/CC have a leaf-like structure and abundant surface functional groups. The electrochemical properties of the sensor were investigated by differential pulse voltammetry (DPV). The effects of different ratios of metal ions to organic ligands, reaction temperature, time, concentration, pH value of the electrolyte, and incubation time on the oxidation peak current of TBBPA were studied. Under the optimal conditions, the linear range of the designed sensor was 0.1 µM-100 µM, and the limit of detection was 40 nM. The proposed sensor is simple, of low cost and efficient, which can greatly facilitate the detection tasks of environmental monitoring workers.

Special issue "The advance of solid tumor research in China": Presurgical therapy in the management of local retroperitoneal recurrence of renal cell carcinoma after radical nephrectomy.

Local retroperitoneal recurrence (RPR) after radical nephrectomy (RN) is rare in patients with renal cell carcinoma (RCC); however, it is associated with poor prognosis and lacks standard treatment. Our study aimed to assess oncological outcomes and prognostic factors of patients that underwent targeted therapy for RPR after RN, and to evaluate the role of presurgical targeted therapy in this context. This was a retrospective multicenter study of 85 patients with RPR treated with targeted therapy for RPR after RN (July 2008-October 2020). Clinical and pathological characteristics were reported using descriptive statistics. Cancer-specific survival (CSS) was examined using the Cox proportional hazards model. The median follow-up time was 50 months (95% confidence interval [CI]: 33.3-66.7) after the RPR diagnosis. The median CSS was 96 months in the presurgical targeted therapy followed by surgical resection group and 42 months (95% CI: 28.8-55.2) in the targeted therapy alone group (P = .0011). In multivariate analysis, International Metastatic RCC Database Consortium classification intermediate/poor risk, number of recurrence lesions and surgical resection were independent predictors of CSS. Presurgical targeted therapy may increase the feasibility of tumor resection for RPR after RN. Patients who underwent surgical resection following presurgical targeted therapy had better CSS than those treated with targeted therapy alone.

The lncRNA MEG3 mediates renal cell cancer progression by regulating ST3Gal1 transcription and EGFR sialylation.

Long noncoding RNAs (lncRNAs) have emerged as important regulators of cancer progression. Abnormal sialylation leads to renal cell carcinoma (RCC) malignancy. However, the mechanism by which the lncRNA maternally expressed gene 3 (MEG3) mediates RCC progression by regulating ST3Gal1 transcription and EGFR sialylation is still unrevealed. Here, we found that the expression of MEG3 was higher in adjacent tissues than in RCC tissues, as well as downregulated in RCC cell lines compared to expression in normal renal cells. The proliferation, migration and invasion of RCC cells transfected with MEG3 was decreased, whereas knockdown of MEG3 had the opposite effect. The proliferative and metastatic abilities of RCC cells in vivo were concordant with their behavior in vitroST3Gal1 expression was dysregulated in RCC and was positively correlated with MEG3 By applying bioinformatics, c-Jun (also known as JUN) was identified as a transcription factor predicted to bind the promoter of ST3Gal1, and altered MEG3 levels resulted in changes to c-Jun expression. Furthermore, ST3Gal1 modulated EGFR sialylation to inhibit EGFR phosphorylation, which affected activation of the phosphoinositide 3-kinase (PI3K)-AKT pathway. Taken together, our findings provide a novel mechanism to elucidate the role of the MEG3-ST3Gal1-EGFR axis in RCC progression.

Finding branched pathways in metabolic network via atom group tracking.

Finding non-standard or new metabolic pathways has important applications in metabolic engineering, synthetic biology and the analysis and reconstruction of metabolic networks. Branched metabolic pathways dominate in metabolic networks and depict a more comprehensive picture of metabolism compared to linear pathways. Although progress has been developed to find branched metabolic pathways, few efforts have been made in identifying branched metabolic pathways via atom group tracking. In this paper, we present a pathfinding method called BPFinder for finding branched metabolic pathways by atom group tracking, which aims to guide the synthetic design of metabolic pathways. BPFinder enumerates linear metabolic pathways by tracking the movements of atom groups in metabolic network and merges the linear atom group conserving pathways into branched pathways. Two merging rules based on the structure of conserved atom groups are proposed to accurately merge the branched compounds of linear pathways to identify branched pathways. Furthermore, the integrated information of compound similarity, thermodynamic feasibility and conserved atom groups is also used to rank the pathfinding results for feasible branched pathways. Experimental results show that BPFinder is more capable of recovering known branched metabolic pathways as compared to other existing methods, and is able to return biologically relevant branched pathways and discover alternative branched pathways of biochemical interest. The online server of BPFinder is available at http://114.215.129.245:8080/atomic/. The program, source code and data can be downloaded from https://github.com/hyr0771/BPFinder.

Neutral Ligands as Potential 64Cu Chelators for Positron Emission Tomography Imaging Applications in Alzheimer's Disease.

Positron emission tomography (PET), which uses positron-emitting radionuclides to visualize and measure processes in the human body, is a useful noninvasive diagnostic tool for Alzheimer's disease (AD). The development of longer-lived radiolabeled compounds is essential for further expansion of the use of PET imaging in healthcare, and diagnostic agents employing longer-lived radionuclides such as 64Cu (t1/2 = 12.7 h, ß+ = 17%, ß- = 39%, electron capture EC = 43%, and Emax = 0.656 MeV) can accomplish this task. One limitation of 64Cu PET agents for neuroimaging applications is their limited lipophilicity due to the presence of several anionic groups needed to ensure strong Cu chelation. Herein, we evaluate a series of neutral chelators containing the 1,4,7-triazacyclononane or 2,11-diaza[3.3](2,6)pyridinophane macrocycles that have pyridyl-containing arms incorporating Aß-peptide-interacting fragments. The crystal structures of the corresponding Cu complexes confirm that the pyridyl N atoms are involved in binding to Cu. Radiolabeling and autoradiography studies show that the compounds efficiently chelate 64Cu, and the resulting complexes exhibit specific binding to the amyloid plaques in the AD mouse brain sections versus wild-type controls.

Second-line treatment with axitinib plus toripalimab in metastatic renal cell carcinoma: a retrospective multicenter study.

Aim: To evaluate the efficacy and safety of second-line treatment with axitinib plus toripalimab in patients with metastatic renal cell carcinoma and failure of VEGFR tyrosine kinase inhibitors. Methods: Data were collected restropectively. Kaplan-Meier analysis and Cox proportional hazards model determined the efficacy outcomes. Results: In 57 patients, objective response rate was 31.6% and median progression-free survival (PFS) was 11.7 months, while median overall survival was not reached. Median PFS was not reached in favorable-risk patients, whereas PFS of 11.0 and 7.8 months were observed in intermediate- and poor-risk patients, respectively (p = 0.011). The treatment-related toxicities were mild in nature. Conclusion: Second-line therapy with axitinib plus toripalimab provided durable response rate, longer PFS and a tolerable safety profile.

Renal cell carcinoma is the most common type of kidney cancer. In cases of metastatic RCC, the combination of axitinib (a VEGFR tyrosine kinase inhibitor) and toripalimab (a recombinant humanized anti-PD-L1 monoclonal antibody) may be beneficial. We investigated the efficacy and safety of second-line treatment with axitinib plus toripalimab in patients with metastatic renal cell carcinoma and anti-VEGFR tyrosine kinase inhibitor therapy failure. Data on patients treated with axitinib plus toripalimab were collected retrospectively and we evaluated the response rate, survival status and toxicities. In total, 31.6% of patients responded to the treatment, with a median progression-free survival of 11.7 months. The combination therapy was safe, with hypertension being the most common grade ≥3 adverse event.

LncRNA LEF1-AS1/LEF1/FUT8 Axis Mediates Colorectal Cancer Progression by Regulating α1, 6-Fucosylationvia Wnt/ß-Catenin Pathway.

BACKGROUND: Fucosylation alteration is involved in several steps of human cancer pathogenesis. Dysregulated long non-coding RNA (lncRNA) often leads to malignancy in colorectal cancer (CRC). METHODS: Differential levels of LEF1-AS1, LEF1 and FUT8 are analyzed by qRT-PCR and western blot. Chip, RIP, EMSA and luciferase reporter assay confirm the direct interaction among LEF1-AS1, MLL1, H3K4me3, LEF1 and FUT8. Functionally, CRC cell proliferation, migration and invasion are analyzed by CCK8 assay, colony formation assay, transwell assay and flow cytometry. The xenografts nude mice models, lung metastasis and liver metastasis are established to determine the effect of LEF1-AS1/LEF1/FUT8 axis on CRC progression in vivo. RESULTS: Here, we identify that LEF1-AS1 and LEF1 are higher in CRC tissues than that in adjacent tissues, as well as upregulated in CRC cell lines than that in normal colorectal cells. Altered levels of LEF1-AS1 modulate LEF1 expression, while altered LEF1 could not regulate LEF1-AS1. LEF1-AS1 recruits MLL1 to the promoter region of LEF1, induces H3K4me3 methylation modification and mediates LEF1 transcription. Furthermore, α1-6 fucosyltransferase FUT8 is overexpressed in CRC tissues and positively correlated to LEF1. FUT8 is a direct target of transcription factor LEF1, which regulates FUT8 level. Altered FUT8 also regulates the core fucosylation of CRC cells, and LEF1-AS1 mediates FUT8 level through activation of Wnt/ß-catenin/LEF1 pathway, thereby resulting in ß-catenin nuclear translocation. In addition, LEF1-AS1 mediates the proliferation, migration and invasion of CRC cells in vitro. LEF1-AS1 silence hinders the tumorigenesis, liver and lung metastasis of SW620 cells in vivo, while overexpressed FUT8 abolishes the suppressive impact of LEF1-AS1 repression on the biological behavior of SW620 cells. CONCLUSION: Our studies uncovered a novel mechanism for constitutive LEF1-AS1/LEF1/FUT8 axis in CRC progression by regulating α1, 6-fucosylation via Wnt/ß-catenin pathway, and consequently, as a potential therapeutic target in CRC.

Hypoxia-induced lncHILAR promotes renal cancer metastasis via ceRNA for the miR-613/206/ 1-1-3p/Jagged-1/Notch/CXCR4 signaling pathway.

Hypoxia has been identified as a common contributor to tumor progression, including invasion and metastasis. However, the underlying mechanisms of enhanced invasion and metastasis under hypoxia remain unclear. A hypoxic microenvironment promotes invasion and metastasis of renal cell carcinoma (RCC) by upregulating expression of LOC100506178, which we named hypoxia-induced long non-coding RNA (lncRNA) associated with RCC (lncHILAR). Knockdown of lncHILAR inhibited cell invasion and migration, whereas overexpression of lncHILAR, conversely, facilitated cell invasion and migration of RCC cells. Notably, hypoxic RCC cells secreted exosomes packaged with lncHILAR, which were taken up by normoxic RCC cells and then drove normoxic cell invasion. Mechanistically, lncHILAR elevated RCC invasion and metastasis by acting as a competing endogenous RNA (ceRNA) for miR-613/206/1-1-3p, which led to the upregulation of Jagged-1 and the C-X-C motif chemokine receptor 4 (CXCR4). Activation of the Jagged-1/Notch/CXCR4 axis induced RCC metastasis. lncHILAR promotes RCC cell invasion and metastasis via ceRNA for the miR-613/206/1-1-3p/Jagged-1/Notch/CXCR4 axis. The novel lncHILAR may thus serve as a potential biomarker and therapeutic target in RCC.

Thermal ablation assisted laparoscopic partial nephrectomy for clinical T1b renal tumors.

OBJECTIVE: To report our preliminary results of thermal ablation, including microwave and radiofrequency ablation assisted laparoscopic partial nephrectomy for cT1b renal tumors. MATERIAL AND METHODS: A total of 56 patients with cT1b renal tumors who underwent microwave ablation or radiofrequency ablation assisted laparoscopic partial nephrectomy between January 2014 and May 2018 were enrolled. Thirty of them underwent microwave ablation assisted laparoscopic partial nephrectomy (MWA-LPN group), and the other 26 received radiofrequency ablation assisted laparoscopic partial nephrectomy (RFA-LPN group). Baseline, perioperative and follow-up data were compared between the two groups. RESULTS: There were no statistical differences with respect to patients' gender, age, tumor size, RENAL score, BMI and estimated glomerular filtration rate between the MWA-LPN and RFA-LPN group, nor were any differences observed in warm ischemia time, post-operative complications and hospital stay. Patients in the MWA-LPN group had shorter median operative time (p = .012), less estimated blood loss (p = .023). Median follow-up was 36 months (range 12-64). Three-year cancer-specific and progression-free survival was 100% and 96.4%. The overall kidney recurrence rate was 3.6% in the present study. CONCLUSIONS: Thermal ablation assisted laparoscopic partial nephrectomy is a safe, effective nephron-sparing treatment which provides acceptable results for selective cT1b renal tumors.

GEP-EpiSeeker: a gene expression programming-based method for epistatic interaction detection in genome-wide association studies.

BACKGROUND: Identification of epistatic interactions provides a systematic way for exploring associations among different single nucleotide polymorphism (SNP) and complex diseases. Although considerable progress has been made in epistasis detection, efficiently and accurately identifying epistatic interactions remains a challenge due to the intensive growth of measuring SNP combinations. RESULTS: In this work, we formulate the detection of epistatic interactions by a combinational optimization problem, and propose a novel evolutionary-based framework, called GEP-EpiSeeker, to detect epistatic interactions using Gene Expression Programming. In GEP-EpiSeeker, we propose several tailor-made chromosome rules to describe SNP combinations, and incorporate Bayesian network-based fitness evaluation into the evolution of tailor-made chromosomes to find suspected SNP combinations, and adopt the Chi-square test to identify optimal solutions from suspected SNP combinations. Moreover, to improve the convergence and accuracy of the algorithm, we design two genetic operators with multiple and adjacent mutations and an adaptive genetic manipulation method with fuzzy control to efficiently manipulate the evolution of tailor-made chromosomes. We compared GEP-EpiSeeker with state-of-the-art methods including BEAM, BOOST, AntEpiSeeker, MACOED, and EACO in terms of power, recall, precision and F1-score on the GWAS datasets of 12 DME disease models and 10 DNME disease models. Our experimental results show that GEP-EpiSeeker outperforms comparative methods. CONCLUSIONS: Here we presented a novel method named GEP-EpiSeeker, based on the Gene Expression Programming algorithm, to identify epistatic interactions in Genome-wide Association Studies. The results indicate that GEP-EpiSeeker could be a promising alternative to the existing methods in epistasis detection and will provide a new way for accurately identifying epistasis.

Amphiphilic Distyrylbenzene Derivatives as Potential Therapeutic and Imaging Agents for Soluble and Insoluble Amyloid ß Aggregates in Alzheimer's Disease.

Alzheimer's Disease (AD) is the most common neurodegenerative disease, and efficient therapeutic and early diagnostic agents for AD are still lacking. Herein, we report the development of a novel amphiphilic compound, LS-4, generated by linking a hydrophobic amyloid-binding distyrylbenzene fragment with a hydrophilic triazamacrocycle, which dramatically increases the binding affinity toward various amyloid ß (Aß) peptide aggregates, especially for soluble Aß oligomers. Moreover, upon the administration of LS-4 to 5xFAD mice, fluorescence imaging of LS-4-treated brain sections reveals that LS-4 can penetrate the blood-brain barrier and bind to the Aß oligomers in vivo. In addition, the treatment of 5xFAD mice with LS-4 reduces the amount of both amyloid plaques and associated phosphorylated tau aggregates vs the vehicle-treated 5xFAD mice, while microglia activation is also reduced. Molecular dynamics simulations corroborate the observation that introducing a hydrophilic moiety into the molecular structure of LS-4 can enhance the electrostatic interactions with the polar residues of the Aß species. Finally, exploiting the Cu2+-chelating property of the triazamacrocycle, we performed a series of imaging and biodistribution studies that show the 64Cu-LS-4 complex binds to the amyloid plaques and can accumulate to a significantly larger extent in the 5xFAD mouse brains vs the wild-type controls. Overall, these results illustrate that the novel strategy, to employ an amphiphilic molecule containing a hydrophilic moiety attached to a hydrophobic amyloid-binding fragment, can increase the binding affinity for both soluble and insoluble Aß aggregates and can thus be used to detect and regulate various Aß species in AD.

Recent Advances on the Selection Methods of DNA-Encoded Libraries.

DNA-encoded libraries (DEL) have come of age and become a major technology platform for ligand discovery in both academia and the pharmaceutical industry. Technological maturation in the past two decades and the recent explosive developments of DEL-compatible chemistries have greatly improved the chemical diversity of DELs and fueled its applications in drug discovery. A relatively less-covered aspect of DELs is the selection method. Typically, DEL selection is considered as a binding assay and the selection is conducted with purified protein targets immobilized on a matrix, and the binders are separated from the non-binding background via physical washes. However, the recent innovations in DEL selection methods have not only expanded the target scope of DELs, but also revealed the potential of the DEL technology as a powerful tool in exploring fundamental biology. In this Review, we first cover the "classic" DEL selection methods with purified proteins on solid phase, and then we discuss the strategies to realize DEL selections in solution phase. Finally, we focus on the emerging approaches for DELs to interrogate complex biological targets.

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.

Pazopanib versus sunitinib in Chinese patients with locally advanced or metastatic renal cell carcinoma: pooled subgroup analysis from the randomized, COMPARZ studies.

BACKGROUND: We performed a pooled analysis of the COMPARZ study assessing efficacy and safety of pazopanib versus sunitinib in treatment-naïve Chinese patients with locally advanced and/or metastatic renal cell carcinoma (a/mRCC). METHODS: In the COMPARZ study, patients were randomized (1:1) to receive pazopanib 800 mg once daily (QD) continuously or sunitinib 50 mg QD in 6-week cycles (4 weeks on, 2 weeks off). The primary endpoint was progression-free survival (PFS); secondary endpoints included overall response rate (ORR), overall survival (OS), and safety. PFS and ORR were assessed by independent review committee (IRC) and local investigators. RESULTS: Of the 209 Chinese patients (pazopanib, [n = 109] and sunitinib, [n = 100]), 155 (74%) were males and median age was 57 years (range, 18-79). Median PFS was 13.9 months for pazopanib versus 14.3 months for sunitinib per investigator assessment and 8.3 months in both arms per IRC assessment; PFS hazard ratio was 1.17 (investigator) and 0.99 (IRC). Median OS was not reached in pazopanib arm and was 29.5 months in sunitinib arm. ORR was significantly higher in pazopanib arm versus sunitinib arm (investigator: 41% versus 23% [P = 0.0052]; IRC: 35% versus 20% [P = 0.0203]). Pazopanib was generally well tolerated in Chinese patients with a/mRCC. Most frequent AEs in the pazopanib arm were diarrhea and hair color changes whereas the most frequent AEs in the sunitinib arm were decreased platelets, decreased neutrophil count, and thrombocytopenia. CONCLUSION: The results of the pooled analysis were consistent with the overall population in the COMPARZ study, and confirmed similar PFS and OS of pazopanib and sunitinib in the Chinese patients. TRIAL REGISTRATION: clinical trials.gov, NCT00720941 (August 14, 2008) and NCT01147822 (May 19, 2010).

Expression of PBRM1 as a prognostic predictor in metastatic renal cell carcinoma patients treated with tyrosine kinase inhibitor.

OBJECTIVE: PBRM1, located on 3p21, functions as a tumor suppressor and somatic mutation of PBRM1 is frequent in clear cell renal cell carcinoma (ccRCC). This study aims to determine the influence of PBRM1 expression on the prognosis of patients with mRCC receiving tyrosine kinase inhibitor (TKI) treatment. METHODS: We identified 116 mRCC patients who were administered sunitinib or sorafenib as first-line therapy, between January 2006 and December 2016 at our institution. PBRM1 expression was assessed by immunohistochemistry. The Kaplan-Meier method was used to estimate the progression-free survival (PFS) and overall survival (OS), log-rank test was used to compare the survival outcomes between patients with low and high PBRM1 expression levels, and the Cox proportional hazard regression model was used to estimate the prognostic value. Prognostic accuracy was determined using Harrell concordance index, and nomograms were built to evaluate the prognosis of mRCC. RESULTS: Patients with low PBRM1 expression had significantly shorter median PFS (9 vs 26 months, P < 0.001) and OS (21 vs 44 months, P < 0.001) than those with high expression. Multivariate analysis showed that PBRM1 expression was an independent predictor of PFS (HR 1.975, P = 0.013) and OS (HR 2.282, P = 0.007). The model built by the addition of PBRM1 improved the C-index of PFS and OS to 0.72 and 0.82, respectively. CONCLUSIONS: The expression of PBRM1 could be a significant prognostic factor for mRCC patients treated with targeted therapy, and it increases the prognostic accuracy of the established prognostic model.