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Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma
Differential miRNAs in prostate cancer are useful diagnostic and prognostic indicators and provide a solid basis for further functional analyses of miRNA microarrays in prostate cancers.
Betaine improves the PCR amplification of GC-rich DNA sequences.
Betaine improves the co-amplification of the two alternatively spliced variants of the prostate-specific membrane antigen mRNA as well as the amplification of the coding cDNA region of c-jun. It is
Cell-free DNA in the blood as a solid tumor biomarker--a critical appraisal of the literature.
To validate the actual clinical validity of various cfDNA alterations as potential cancer biomarkers in practice for individual tumor types, the main problems of the observed uncertainties must be considered in future studies.
Gene expression studies in prostate cancer tissue: which reference gene should be selected for normalization?
The use of HPRT1 alone as a reference gene shown in this study was sufficient, but the normalization factors generated from two (HRPT1, ALAS1 or all three genes) should be considered for an improved reliability of normalization in gene profiling studies of prostate cancer.
Histone deacetylases 1, 2 and 3 are highly expressed in prostate cancer and HDAC2 expression is associated with shorter PSA relapse time after radical prostatectomy
It is shown that the known effects of HDACs on differentiation and proliferation of cancer cells observed in vitro can also be confirmed in vivo.
MicroRNA profiling of clear cell renal cell cancer identifies a robust signature to define renal malignancy
MicroRNAs are short single‐stranded RNAs that are associated with gene regulation at the transcriptional and translational level. Changes in their expression were found in a variety of human cancers.
miRNA profiling identifies candidate mirnas for bladder cancer diagnosis and clinical outcome.
CD24 expression is a significant predictor of PSA relapse and poor prognosis in low grade or organ confined prostate cancer
The prognostic impact of tumor grading and staging is markedly reduced in organ confined or moderately differentiated prostate cancer, which underscores the importance of new prognostic markers.
Multicenter evaluation of an artificial neural network to increase the prostate cancer detection rate and reduce unnecessary biopsies.
Enhanced accuracy of PCa detection over that obtained using %fPSA alone can be achieved with a %f PSA-based artificial neural network that also includes clinical information from DRE and prostate volume measurements.
Proteomic analysis of conditioned media from the PC3, LNCaP, and 22Rv1 prostate cancer cell lines: discovery and validation of candidate prostate cancer biomarkers.
The proteins presented in this study represent a comprehensive sampling of the secreted and shed proteins expressed by prostate cancer cells, which may be useful as diagnostic, prognostic or predictive serological markers for prostate cancer.