scholarly article | Q13442814 |
review article | Q7318358 |
P50 | author | Bairong Shen | Q56428045 |
P2093 | author name string | Yuxin Lin | |
Jianquan Hou | |||
Jinxian Pu | |||
Xiaojun Zhao | |||
Xuedong Wei | |||
Zhixin Ling | |||
Zhijun Miao | |||
P2860 | cites work | Identification of Novel Susceptibility Loci and Genes for Prostate Cancer Risk: A Transcriptome-Wide Association Study in Over 140,000 European Descendants | Q92125102 |
The previously uncharacterized lncRNA APP promotes prostate cancer progression by acting as a competing endogenous RNA | Q92157599 | ||
New approaches for effective and safe pelvic radiotherapy in high-risk prostate cancer | Q92186829 | ||
The State of the Science on Prostate Cancer Biomarkers: The San Francisco Consensus Statement | Q92293448 | ||
Real World Experience With Pembrolizumab in Recurrent or Advanced Prostate Cancer | Q92525188 | ||
Causes, consequences, and therapy of tumors acidosis | Q92619801 | ||
Phenotype-genotype network construction and characterization: a case study of cardiovascular diseases and associated non-coding RNAs | Q92674726 | ||
Do no harm: a roadmap for responsible machine learning for health care | Q92710894 | ||
Prediction of Recurrence-associated Death from Localized Prostate Cancer with a Charlson Comorbidity Index-reinforced Machine Learning Model | Q92716396 | ||
PCaLiStDB: a lifestyle database for precision prevention of prostate cancer | Q92718647 | ||
Development of Zinc-Specific iCEST MRI as an Imaging Biomarker for Prostate Cancer | Q92724931 | ||
Assessing a Patient's Individual Risk of Biopsy-detectable Prostate Cancer: Be Aware of Case Mix Heterogeneity and A Priori Likelihood | Q92733607 | ||
Hsa_Circ_0001206 is downregulated and inhibits cell proliferation, migration and invasion in prostate cancer | Q92739288 | ||
GBX2 Methylation Is a Novel Prognostic Biomarker and Improves Prediction of Biochemical Recurrence Among Patients with Prostate Cancer Negative for Intraductal Carcinoma and Cribriform Architecture | Q92758011 | ||
Combination possibility and deep learning model as clinical decision-aided approach for prostate cancer | Q93019356 | ||
Real-world outcomes of sipuleucel-T treatment in PROCEED, a prospective registry of men with metastatic castration-resistant prostate cancer | Q93097379 | ||
Discovery of a novel long noncoding RNA overlapping the LCK gene that regulates prostate cancer cell growth | Q93111779 | ||
Translational biomedical informatics in the cloud: present and future | Q21284794 | ||
Hallmarks of Cancer: The Next Generation | Q22252312 | ||
Systems medicine: the future of medical genomics and healthcare | Q24288895 | ||
The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository | Q26253943 | ||
The P4 Health Spectrum - A Predictive, Preventive, Personalized and Participatory Continuum for Promoting Healthspan | Q30248361 | ||
Discovery and characterization of long intergenic non-coding RNAs (lincRNA) module biomarkers in prostate cancer: an integrative analysis of RNA-Seq data | Q30976066 | ||
Identification of candidate miRNA biomarkers from miRNA regulatory network with application to prostate cancer | Q33557400 | ||
Association between polymorphisms in TP53 and MDM2 genes and susceptibility to prostate cancer | Q33597618 | ||
Post genome-wide association studies functional characterization of prostate cancer risk loci | Q33702079 | ||
Identifying novel prostate cancer associated pathways based on integrative microarray data analysis | Q33942807 | ||
Integrative analysis reveals disease-associated genes and biomarkers for prostate cancer progression | Q33948926 | ||
Genome-wide association study in Chinese men identifies two new prostate cancer risk loci at 9q31.2 and 19q13.4. | Q33977740 | ||
Soy and isoflavone consumption in relation to prostate cancer risk in China | Q34215104 | ||
DDPC: Dragon Database of Genes associated with Prostate Cancer | Q34456593 | ||
Key regulators in prostate cancer identified by co-expression module analysis | Q34645685 | ||
Impact of age at diagnosis on prostate cancer treatment and survival | Q34679220 | ||
Spermine and citrate as metabolic biomarkers for assessing prostate cancer aggressiveness | Q34693066 | ||
Identification of novel microRNA regulatory pathways associated with heterogeneous prostate cancer. | Q35098669 | ||
Both serum 25-hydroxyvitamin D and calcium levels may increase the risk of incident prostate cancer in Caribbean men of African ancestry | Q35755412 | ||
"Prostate cancer proteomics" database. | Q35944403 | ||
The effect of benign lower urinary tract symptoms on subsequent prostate cancer testing and diagnosis | Q36799711 | ||
Systemic buffers inhibit carcinogenesis in TRAMP mice | Q36960515 | ||
Prostate cancer: genes, environment, immunity and the use of immunotherapy | Q37087947 | ||
Inherited DNA-Repair Gene Mutations in Men with Metastatic Prostate Cancer | Q37179254 | ||
The worldwide epidemiology of prostate cancer: perspectives from autopsy studies. | Q37252255 | ||
DNA methylome changes by estradiol benzoate and bisphenol A links early-life environmental exposures to prostate cancer risk | Q37308114 | ||
A systematic review of the effect of diet in prostate cancer prevention and treatment | Q37432221 | ||
Metabolic reprogramming and validation of hyperpolarized 13C lactate as a prostate cancer biomarker using a human prostate tissue slice culture bioreactor | Q37686102 | ||
A systematic review of replication studies of prostate cancer susceptibility genetic variants in high-risk men originally identified from genome-wide association studies | Q37895808 | ||
Prioritizing candidate disease miRNAs by topological features in the miRNA target-dysregulated network: case study of prostate cancer. | Q38331384 | ||
Bone Scan Index as an Imaging Biomarker in Metastatic Castration-resistant Prostate Cancer: A Multicentre Study Based on Patients Treated with Abiraterone Acetate (Zytiga) in Clinical Practice | Q38672115 | ||
Systemic alkalinisation delays prostate cancer cell progression in TRAMP mice. | Q38720922 | ||
Exposure to polychlorinated biphenyls and prostate cancer: population-based prospective cohort and experimental studies | Q38741205 | ||
Do preserved foods increase prostate cancer risk? | Q38799043 | ||
Metabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence | Q38838580 | ||
Sun exposure and the risk of prostate cancer in the Singapore Prostate Cancer Study: a case-control study | Q38943893 | ||
miR-34a is an intracellular and exosomal predictive biomarker for response to docetaxel with clinical relevance to prostate cancer progression | Q38972595 | ||
Waist circumference, waist-hip ratio, body mass index, and prostate cancer risk: results from the North-American case-control study Prostate Cancer & Environment Study | Q38973764 | ||
Loneliness and depression in the elderly: the role of social network. | Q38982757 | ||
Symptoms and Impacts in Non-Metastatic Castration-Resistant Prostate Cancer: Qualitative Study Findings | Q39174720 | ||
CDO1 promoter methylation is associated with gene silencing and is a prognostic biomarker for biochemical recurrence-free survival in prostate cancer patients | Q39334962 | ||
A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory | Q40027923 | ||
Longitudinal assessment of urinary PCA3 for predicting prostate cancer grade reclassification in favorable-risk men during active surveillance. | Q40461863 | ||
Translational bioinformatics and computational systems medicine | Q41472814 | ||
Translational bioinformatics for diagnostic and prognostic prediction of prostate cancer in the next-generation sequencing era. | Q42220108 | ||
Smoking and risk of low- and high-grade prostate cancer: results from the REDUCE study | Q42563266 | ||
Multiparametric Magnetic Resonance Imaging of Prostate Cancer Bone Disease: Correlation With Bone Biopsy Histological and Molecular Features | Q42690512 | ||
Prognostic value of bone scan index as an imaging biomarker in metastatic prostate cancer: a meta-analysis. | Q43663413 | ||
Serum calcium concentration and prostate cancer risk: a multicenter study | Q44428766 | ||
Alcohol and smoking and subsequent risk of prostate cancer in Japanese men: the Japan Public Health Center-based prospective study. | Q45781711 | ||
Computer-aided biomarker discovery for precision medicine: data resources, models and applications. | Q45943371 | ||
The CaPSURE database: a methodology for clinical practice and research in prostate cancer. CaPSURE Research Panel. Cancer of the Prostate Strategic Urologic Research Endeavor. | Q45960937 | ||
RGS12 Is a Novel Tumor-Suppressor Gene in African American Prostate Cancer That Represses AKT and MNX1 Expression | Q46160241 | ||
Systems Health: A Transition from Disease Management Toward Health Promotion | Q47187211 | ||
Interactions Between Genetics, Lifestyle, and Environmental Factors for Healthcare | Q47668612 | ||
The influence of nutritional factors on prostate cancer incidence and aggressiveness | Q47955767 | ||
Changes in lower urinary tract symptoms and quality of life after salvage radiotherapy for biochemical recurrence of prostate cancer | Q48038060 | ||
Increased PSA expression on prostate cancer exosomes in in vitro condition and in cancer patients | Q48545168 | ||
A Landscape of Metabolic Variation across Tumor Types | Q49359410 | ||
Metabolomic Prediction of Human Prostate Cancer Aggressiveness: Magnetic Resonance Spectroscopy of Histologically Benign Tissue. | Q51731326 | ||
Biomarker microRNAs for prostate cancer metastasis: screened with a network vulnerability analysis model. | Q55361958 | ||
Prostate cancer screening with prostate-specific antigen (PSA) test: a systematic review and meta-analysis | Q57106301 | ||
Microenvironmental pH and Exosome Levels Interplay in Human Cancer Cell Lines of Different Histotypes | Q57297291 | ||
Identification of Potential miRNAs Biomarkers for High-Grade Prostate Cancer by Integrated Bioinformatics Analysis | Q58115914 | ||
Comparison of Artificial Intelligence Techniques to Evaluate Performance of a Classifier for Automatic Grading of Prostate Cancer From Digitized Histopathologic Images | Q62489559 | ||
An overview of publicly available patient-centered prostate cancer datasets | Q64246693 | ||
Artificial intelligence at the intersection of pathology and radiology in prostate cancer | Q64261177 | ||
Phase 3 Assessment of the Automated Bone Scan Index as a Prognostic Imaging Biomarker of Overall Survival in Men With Metastatic Castration-Resistant Prostate Cancer: A Secondary Analysis of a Randomized Clinical Trial | Q64448625 | ||
Diffusion-weighted imaging to evaluate for changes from androgen deprivation therapy in prostate cancer | Q86036413 | ||
Traffic-related air pollution and prostate cancer risk: a case-control study in Montreal, Canada | Q86493703 | ||
Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm | Q88716501 | ||
Systems medicine: Understanding wellness and disease | Q88752201 | ||
MALAT1 silencing suppresses prostate cancer progression by upregulating miR-1 and downregulating KRAS | Q89243697 | ||
Clinical application of immune checkpoints in targeted immunotherapy of prostate cancer | Q89475852 | ||
UBASH3B Is a Novel Prognostic Biomarker and Correlated With Immune Infiltrates in Prostate Cancer | Q89497301 | ||
Revisiting Immunotherapy: A Focus on Prostate Cancer | Q89746804 | ||
Increased Plasmatic Levels of PSA-Expressing Exosomes Distinguish Prostate Cancer Patients from Benign Prostatic Hyperplasia: A Prospective Study | Q90383780 | ||
Circulating MicroRNAs as Biomarkers for Prostate Cancer Detection and Metastasis Development Prediction | Q90403276 | ||
Random forest-based modelling to detect biomarkers for prostate cancer progression | Q90880644 | ||
Cancer statistics, 2019 | Q90941571 | ||
The relationship between androgen deprivation therapy and depression symptoms in patients with prostate cancer | Q91078976 | ||
Association of Genomic Domains in BRCA1 and BRCA2 with Prostate Cancer Risk and Aggressiveness | Q91271723 | ||
Circular RNA circFOXO3 promotes prostate cancer progression through sponging miR-29a-3p | Q91304409 | ||
Targeting acidity in cancer and diabetes | Q91305785 | ||
Decoding competing endogenous RNA networks for cancer biomarker discovery | Q91329273 | ||
Extracellular acidity and increased exosome release as key phenotypes of malignant tumors | Q91330712 | ||
The long non-coding RNA PCA3: an update of its functions and clinical applications as a biomarker in prostate cancer | Q91428114 | ||
Impact of age at diagnosis of de novo metastatic prostate cancer on survival | Q91462173 | ||
Translational Informatics for Parkinson's Disease: from Big Biomedical Data to Small Actionable Alterations | Q91571921 | ||
Symptoms predicting health-related quality of life in prostate cancer patients treated with localized radiation therapy | Q91834622 | ||
Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms | Q91902230 | ||
A new era: artificial intelligence and machine learning in prostate cancer | Q92052817 | ||
Diet and lifestyle considerations for patients with prostate cancer | Q92057253 | ||
P275 | copyright license | Creative Commons Attribution | Q6905323 |
P433 | issue | 1 | |
P921 | main subject | biomarker | Q864574 |
prostate neoplasm | Q56014511 | ||
P304 | page(s) | 119 | |
P577 | publication date | 2020-03-07 | |
P1433 | published in | Journal of Translational Medicine | Q15716664 |
P1476 | title | Data-driven translational prostate cancer research: from biomarker discovery to clinical decision | |
P478 | volume | 18 |
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