scholarly journals Molecular dan Genomic Biomarker sebagai Deteksi Dini pada Diagnosis Kanker Prostat

2020 ◽  
Vol 9 (2) ◽  
pp. 156
Author(s):  
Jihan Audini Karim

Prostate cancer is a noncutaneous malignancy in men, a heterogeneous disease with varying clinical outcomes. The modern clinical approach to prostate cancer emphasizes the need for treatment to avoid overdiagnosis and overtreatment. Advances in understanding of the pathogenesis of prostate cancer, coupled with technological innovations, have facilitated the development and validation of a number of molecular biomarkers, representing a variety of tested macromolecules from a wide variety of patient samples, to aid clinical management of prostate cancer, including early detection, diagnosis, prognostication, and selection. targeted therapy. Prostate cancer is asymptomatic in the early stages of the disease, there are various clinical-pathological signs and disease progression, and is characterized mostly by indolent cancer types. Therefore, it is imperative to develop individualized approaches for early detection, disease stratification (indolent vs. aggressive) and prediction of treatment response for prostate cancer. This article is a review article in which researchers review the current state of use of genomic biomarkers for early detection of prostate cancer, demonstrating the function of molecular biomarkers in clinical practice. The result of this review article is that the available genomic and proteomic tests can increase the predictive value of the PCa risk classification system based on clinical variables.

2019 ◽  
Vol 20 (8) ◽  
pp. 1813 ◽  
Author(s):  
Indu Kohaar ◽  
Gyorgy Petrovics ◽  
Shiv Srivastava

Prostate cancer is the most prevalent non-skin cancer in men and is the leading cause of cancer-related death. Early detection of prostate cancer is largely determined by a widely used prostate specific antigen (PSA) blood test and biopsy is performed for definitive diagnosis. Prostate cancer is asymptomatic in the early stage of the disease, comprises of diverse clinico-pathologic and progression features, and is characterized by a large subset of the indolent cancer type. Therefore, it is critical to develop an individualized approach for early detection, disease stratification (indolent vs. aggressive), and prediction of treatment response for prostate cancer. There has been remarkable progress in prostate cancer biomarker discovery, largely through advancements in genomic technologies. A rich array of prostate cancer diagnostic and prognostic tests has emerged for serum (4K, phi), urine (Progensa, T2-ERG, ExoDx, SelectMDx), and tumor tissue (ConfirmMDx, Prolaris, Oncoytype DX, Decipher). The development of these assays has created new opportunities for improving prostate cancer diagnosis, prognosis, and treatment decisions. While opening exciting opportunities, these developments also pose unique challenges in terms of selecting and incorporating these assays into the continuum of prostate cancer patient care.


2021 ◽  
Author(s):  
Yiyi Pu ◽  
Chao Li ◽  
Haining Yuan ◽  
Xiaoju Wang

Abstract Background: DNA methylation has been widely used for development of cancer diagnosis biomarker. However, the clinical translational rate is low. Databases, such as The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), offer great opportunities for DNA methylation biomarker identification. By taking advantage of the public databases, we aimed to identify cancer specific biomarkers based on DNA methylation level for early detection purpose. Results: We performed a pan-cancer methylation analysis using datasets from TCGA and validated the results using GEO datasets. To identify early-diagnosis biomarkers, we focused on the localized tumors, and identified the biomarkers that can effectively distinguish the localized tumors from normal tissues. After comparing biomarkers for all cancer types, we identified a large group of cancer specific biomarkers. Within all 26 prostate cancer specific biomarkers selected, we confirmed three biomarker sets by multiplex analysis. First, 7 biomarkers (cg26140475, cg24891312, cg24522654, cg21359747, cg03254336, cg12697139, cg19034132) could detect localized prostate tumors from normal tissues (AUC > 0.9). Second, 9 biomarkers (cg17220055, cg26140475, cg24891312, cg09853702, cg22400059, cg16736279, cg27639613, cg06011086, cg00664697) could distinguish between low and high Gleason score prostate tumors (AUC = 0.79). Last, a single biomarker (cg26140475) completely separated prostate tumor from other urinary tumors (AUC = 1). Conclusions: Our study identified and validated a panel of methylation-based biomarkers which could be used for prostate cancer early diagnosis.


2004 ◽  
Vol 171 (4S) ◽  
pp. 481-481
Author(s):  
Ravery V. Vincent ◽  
Chautard D. Denis ◽  
Arnauld A. Villers ◽  
Laurent Boccon Gibbod

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