Introduction. Predicting the aggressiveness of prostate cancer at biopsy is invaluable in making treatment decisions. In this paper we review the differential expression of genes and microRNAs identified through microarray analysis as potentially useful markers for prostate cancer prognosis and discuss some of the challenges associated with their development. Methods. A review of the literature was conducted through Medline. Articles were identified through searches of the following terms: "prostate cancer AND differential expression", "prostate cancer prognosis", and "prostate cancer AND microRNAs". Results. Though numerous differentially expressed genes and microRNAs were identified as possible prognostic mar...
High-throughput technologies do not only provide novel means for basic biological research but also ...
Prostate cancer is one of the major health problems and the second cause of cancer mortality in men ...
BackgroundProstate tumor heterogeneity and biopsy undersampling pose challenges to accurate, individ...
Introduction. Predicting the aggressiveness of prostate cancer at biopsy is invaluable in making tre...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Worldwide, prostate cancer (PCa) is the leading cause of morbidity and cancer-related mortality in m...
There is clinically relevant molecular heterogeneity in prostate cancer (PCa), but this biological d...
Molecular biomarkers can serve as useful diagnostic markers, as prognostic markers for predicting cl...
High-throughput technologies do not only provide novel means for basic biological research but also ...
MicroRNAs are key regulators of gene expression and play critical roles in both normal physiology an...
In the era of personalized treatment, oncologists are striving to tailor medical treatment to the ch...
Prostate cancer and bladder cancer are two of the most common urologic cancers. Cancer risk stratifi...
Prostate cancer (PC) includes several phenotypes, from indolent to highly aggressive cancer. Actual ...
High-throughput technologies do not only provide novel means for basic biological research but also ...
Background Prostate tumor heterogeneity and biopsy undersampling pose challenges to accurate, indivi...
High-throughput technologies do not only provide novel means for basic biological research but also ...
Prostate cancer is one of the major health problems and the second cause of cancer mortality in men ...
BackgroundProstate tumor heterogeneity and biopsy undersampling pose challenges to accurate, individ...
Introduction. Predicting the aggressiveness of prostate cancer at biopsy is invaluable in making tre...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Worldwide, prostate cancer (PCa) is the leading cause of morbidity and cancer-related mortality in m...
There is clinically relevant molecular heterogeneity in prostate cancer (PCa), but this biological d...
Molecular biomarkers can serve as useful diagnostic markers, as prognostic markers for predicting cl...
High-throughput technologies do not only provide novel means for basic biological research but also ...
MicroRNAs are key regulators of gene expression and play critical roles in both normal physiology an...
In the era of personalized treatment, oncologists are striving to tailor medical treatment to the ch...
Prostate cancer and bladder cancer are two of the most common urologic cancers. Cancer risk stratifi...
Prostate cancer (PC) includes several phenotypes, from indolent to highly aggressive cancer. Actual ...
High-throughput technologies do not only provide novel means for basic biological research but also ...
Background Prostate tumor heterogeneity and biopsy undersampling pose challenges to accurate, indivi...
High-throughput technologies do not only provide novel means for basic biological research but also ...
Prostate cancer is one of the major health problems and the second cause of cancer mortality in men ...
BackgroundProstate tumor heterogeneity and biopsy undersampling pose challenges to accurate, individ...