Androgen receptor (AR) is a steroid receptor transcriptional factor for testosterone and dihydrotestosterone consisting of four main domains, the N-terminal domain, DNA-binding domain, hinge region, ...and ligand-binding domain. AR plays pivotal roles in prostate cancer, especially castration-resistant prostate cancer (CRPC). Androgen deprivation therapy can suppress hormone-naïve prostate cancer, but prostate cancer changes AR and adapts to survive under castration levels of androgen. These mechanisms include AR point mutations, AR overexpression, changes of androgen biosynthesis, constitutively active AR splice variants without ligand binding, and changes of androgen cofactors. Studies of AR in CRPC revealed that AR was still active in CRPC, and it remains as a potential target to treat CRPC. Enzalutamide is a second-generation antiandrogen effective in patients with CRPC before and after taxane-based chemotherapy. However, CRPC is still incurable and can develop drug resistance. Understanding the mechanisms of this resistance can enable new-generation therapies for CRPC. Several promising new AR-targeted therapies have been developed. Apalutamide is a new Food and Drug Administration-approved androgen agonist binding to the ligand-binding domain, and clinical trials of other new AR-targeted agents binding to the ligand-binding domain or N-terminal domain are underway. This review focuses on the functions of AR in prostate cancer and the development of CRPC and promising new agents against CRPC.
Urinary biomarkers of prostate cancer Fujita, Kazutoshi; Nonomura, Norio
International journal of urology,
September 2018, Volume:
25, Issue:
9
Journal Article
Peer reviewed
Open access
The development of more specific biomarkers for prostate cancer and/or high‐risk prostate cancer is necessary, because the prostate‐specific antigen test lacks specificity for the detection of ...prostate cancer and can lead to unnecessary prostate biopsies. Urine is a promising source for the development of new biomarkers of prostate cancer. Biomarkers derived from prostate cancer cells are released into prostatic fluids and then into urine. Urine after manipulation of the prostate is enriched with prostate cancer biomarkers, which include prostate cancer cells, DNAs, RNAs, proteins and other small molecules. The urinary prostate cancer antigen 3 test is the first Food and Drug Administration‐approved RNA‐based urinary marker, and it helps in the detection of prostate cancer on repeat biopsy. The SelectMDx test is based on messenger RNA detection of DLX1 and HOXC6 in urine after prostate massage, and helps in the detection of high‐risk prostate cancer on prostate biopsy. Exosomes are extracellular vesicles with a diameter of 30–200 nm that are secreted from various types of cells. Urinary prostate cancer‐derived exosomes also contain RNAs and proteins specific for prostate cancer (e.g. PCA3 and TMPRSS2‐ERG), and could be promising sources of novel biomarker discovery. The ExoDx Prostate test is a commercially available test based on the detection of three genes (PCA3, ERG and SPDEF) in urinary exosomes. Advancement of comprehensive analysis (microarray, mass spectrometry and next‐generation sequencing) has resulted in the discovery of several urinary biomarkers. Non‐invasive urinary markers can help in the decision to carry out prostate biopsy or in the design of a therapeutic strategy.
The incidence of prostate cancer (PCa) displays widespread regional differences, probably owing to differences in dietary habits. Nutrients, including fat, protein, carbohydrates, vitamins (vitamin ...A, D, and E), and polyphenols, potentially affect PCa pathogenesis and progression, as previously reported using animal models; however, clinical studies have reported controversial results for almost all nutrients. The effects of these nutrients may be manifested through various mechanisms including inflammation, antioxidant effects, and the action of sex hormones. Dietary patterns including the Western and Prudent patterns also influence the risk of PCa. Recent studies reported that the gut microbiota contribute to tumorigenesis in some organs. Diet composition and lifestyle have a direct and profound effect on the gut bacteria. Human studies reported an increase in the abundance of specific gut bacteria in PCa patients. Although there are few studies concerning their relationship, diet and nutrition could influence PCa, and this could be mediated by gut microbiota. An intervention of dietary patterns could contribute to the prevention of PCa. An intervention targeting dietary patterns may thus help prevent PCa.
Gut microbiome and prostate cancer Fujita, Kazutoshi; Matsushita, Makoto; Banno, Eri ...
International journal of urology,
August 2022, Volume:
29, Issue:
8
Journal Article
Peer reviewed
The gut microbiome is linked to several diseases such as Alzheimer's disease, rheumatoid arthritis, and colon cancer. The gut microbiome is also associated with the modulation of immune function, ...resulting in a different response to immune checkpoint therapy. The gut microbiome differs according to lifestyle, diet, sex, race, genetic background, and country. Lifestyle, especially diet, plays an important role in the development and progression of prostate cancer. Recent studies have revealed a connection between the gut microbiome and prostate cancer. A high‐fat diet causes gut dysbiosis and gut bacterial metabolites, such as short‐chain fatty acids and phospholipids that enter systemic circulation result in promoting prostate cancer growth. Additionally, the gut microbiota can serve as a source of testosterone, which affects prostate cancer progression. Men with castration‐resistant prostate cancer have an increased abundance of gut bacteria with androgenic functions. Men with high‐risk prostate cancer share a specific gut microbial profile and profiling gut microbiota could be a potentially effective tool to screen men with high‐risk prostate cancer. Lifestyle modifications can improve the gut microbiome. Furthermore, altering the gut microbiome using prebiotic or probiotic interventions may prevent or delay prostate cancer development. Further study into the “Gut–Prostate Axis” would help in the discovery of new strategies for the prevention, screening, and treatment of prostate cancer.
Reliable biomarkers for renal cell carcinoma (RCC) have yet to be determined. Circulating tumor DNA (ctDNA) is an emerging resource to detect and monitor molecular characteristics of various tumors. ...The present study aims to clarify the clinical utility of ctDNA for RCC. Fifty‐three patients histologically diagnosed with clear cell RCC were enrolled. Targeted sequencing was carried out using plasma cell‐free DNA (cfDNA) and tumor DNA. We applied droplet digital PCR (ddPCR) to validate detected mutations. cfDNA fragment size was also evaluated using a microfluidics‐based platform and sequencing. Proportion of cfDNA fragments was defined as the ratio of small (50‐166 bp) to large (167‐250 bp) cfDNA fragments. Association of mutant allele frequency of ctDNA with clinical course was analyzed. Prognostic potential was evaluated using log‐rank test. A total of 38 mutations across 16 (30%) patients were identified from cfDNA, including mutations in TP53 (n = 6) and VHL (n = 5), and median mutant allele frequency of ctDNA was 10%. We designed specific ddPCR probes for 11 mutations and detected the same mutations in both cfDNA and tumor DNA. Positive ctDNA was significantly associated with a higher proportion of cfDNA fragments (P = .033), indicating RCC patients with ctDNA had shorter fragment sizes of cfDNA. Interestingly, the changes of mutant allele frequency in ctDNA concurrently correlated with clinical course. Positive ctDNA and fragmentation of cfDNA were significantly associated with poor cancer‐specific survival (P < .001, P = .011). In conclusion, our study shows the clinical utility of ctDNA status and cfDNA fragment size as biomarkers for prognosis and disease monitoring in RCC.
We evaluated somatic mutations and fragmentation of circulating tumor DNA (ctDNA) using next‐generation sequencing and droplet digital PCR in renal cell carcinoma (RCC). ctDNA can be promising tools for monitoring and predicting prognosis of RCC.
Extracellular vesicles (EVs) are microvesicles secreted from various cell types. We aimed to discover a new biomarker for high Gleason score (GS) prostate cancer (PCa) in urinary EVs via quantitative ...proteomics. EVs were isolated from urine after massage from 18 men (negative biopsy n = 6, GS 6 PCa n = 6, or GS 8-9 PCa n = 6). EV proteins were labeled with iTRAQ and analyzed by LC-MS/MS. We identified 4710 proteins and quantified 3528 proteins in the urinary EVs. Eleven proteins increased in patients with PCa compared to those with negative biopsy (ratio >1.5, p-value < 0.05). Eleven proteins were chosen for further analysis and verified in 29 independent urine samples (negative n = 11, PCa n = 18) using selected reaction monitoring/multiple reaction monitoring. Among these candidate markers, fatty acid binding protein 5 (FABP5) was higher in the cancer group than in the negative group (p-value = 0.009) and was significantly associated with GS (p-value for trend = 0.011). Granulin, AMBP, CHMP4A, and CHMP4C were also higher in men with high GS prostate cancer (p-value < 0.05). FABP5 in urinary EVs could be a potential biomarker of high GS PCa.
Proteomic analysis of urinary extracellular vesicles (EVs) is a powerful approach to discover potential bladder cancer (BCa) biomarkers, however urine contains numerous EVs derived from the kidney ...and normal urothelial epithelium, which can obfuscate information related to BCa cell‐derived EVs. In this study, we combined proteomic analysis of urinary EVs and tissue‐exudative EVs (Te‐EVs), which were isolated from culture medium of freshly resected viable BCa tissues. Urinary EVs were isolated from urine samples of 11 individuals (7 BCa patients and 4 healthy individuals), and Te‐EVs were isolated from 7 BCa tissues. We performed tandem mass tag (TMT)‐labeling liquid chromatography (LC‐MS/MS) analysis for both urinary EVs and Te‐EVs and identified 1960 proteins in urinary EVs and 1538 proteins in Te‐EVs. Most of the proteins identified in Te‐EVs were also present in urinary EVs (82.4%), with 55 of these proteins showing upregulated levels in the urine of BCa patients (fold change > 2.0; P < .1). Among them, we selected 22 membrane proteins as BCa biomarker candidates for validation using selected reaction monitoring/multiple reaction monitoring (SRM/MRM) analysis on urine samples from 70 individuals (40 BCa patients and 30 healthy individuals). Six urinary EV proteins (heat‐shock protein 90, syndecan‐1, myristoylated alanine‐rich C‐kinase substrate (MARCKS), MARCKS‐related protein, tight junction protein ZO‐2, and complement decay‐accelerating factor) were quantified using SRM/MRM analysis and validated as significantly upregulated in BCa patients (P < .05). In conclusion, the novel strategy that combined proteomic analysis of urinary EVs and Te‐EVs enabled selective detection of urinary BCa biomarkers.
Proteomic analysis of urinary extracellular vesicles (EVs) is a powerful approach to discovering potential BCa biomarkers, however urine contains numerous EVs derived from kidney and normal urothelial epithelium that could dilute the information of cancer BCa cell‐derived EVs. In this study, we performed combined proteomic analysis of both urinary EVs and tissue‐extracted EVs (Te‐EVs) to identify reliable BCa biomarkers. This novel strategy presented here identified reliable urinary EV biomarker proteins exhibiting high levels of specificity and sensitivity for non‐invasive BCa detection.
Bladder cancer is a heterogeneous disease. Interpatient heterogeneity in response to a drug limits treatment options and impairs improvement of patient survival. For example, approximately half of ...patients do not respond to cisplatin‐based combination chemotherapy, although it is the standard of care for muscle‐invasive and metastatic bladder cancer. The development of robust predictive biomarkers is expected to improve outcomes by enabling clinicians to use chemotherapy only in the patients who will benefit from it. Recent advances in the molecular characterization of bladder cancer showed that the basal subtype of bladder cancer and tumors with inactivating mutations in DNA damage repair genes were associated with greater benefit from cisplatin‐based chemotherapy. The present review summarizes current efforts to develop predictive biomarkers for drug response in bladder cancer, focusing on those that predict the response to cisplatin‐based chemotherapy for advanced bladder cancer. We also review the current situation with regard to the identification of predictive biomarkers for response to intravesical therapy, immune checkpoint inhibitors and molecularly‐targeted drugs. We also discuss the future applications of new technologies, including liquid biopsies and patient‐derived organoids that will also serve as resources for the identification of biomarkers in bladder cancer.
Most upper tract urothelial carcinomas (UTUC) are muscle invasive at the time of diagnosis. Current standard methods for the diagnosis of UTUC are invasive. Urine cytology is the only non‐invasive ...test for detecting UTUC, but its sensitivity is low. A novel non‐invasive assay for UTUC detection would improve patient outcome. This study aimed to investigate the mutation of cell‐free DNA (cfDNA) in urine supernatant to develop a reliable diagnostic biomarker for UTUC patients. We studied urinary cfDNA from 153 individuals, including 56 patients with localized UTUC, and carried out droplet digital PCR assay for TERT promoter and FGFR3 hotspot mutations. We could detect mutations of TERT C228T in 22/56 (39.3%), TERT C250T in 4/56 (7.1%), and FGFR3 S249C in 9/56 (16.1%) patients. FGFR3 mutation was detected only in ≤pT1 tumors (positive predictive value: 100.0%). In combination with cytology results, the sensitivity was 78.6%, and the specificity was 96.0%. Although these data need to be validated in a larger‐scale cohort, mutation analysis of TERT promoter and FGFR3 in urinary cfDNA has the potential to be a non‐invasive diagnostic marker and reliable factor for tumor staging.
TERT promoter and FGFR3 hotspot mutations in urinary cell‐free DNA were analyzed. In combination with urine cytology, the sensitivity was 78.6%, and specificity was 96.0% for upper tract urothelial carcinoma diagnosis.
Prostate cancer is the most common type of cancer and the leading cause of cancer deaths among men in many countries. Preventing progression is a major concern for prostate cancer patients on active ...surveillance, patients with recurrence after radical therapies, and patients who acquired resistance to systemic therapies. Inflammation, which is induced by various factors such as infection, microbiome, obesity, and a high-fat diet, is the major etiology in the development of prostate cancer. Inflammatory cells play important roles in tumor progression. Various immune cells including tumor-associated neutrophils, tumor-infiltrating macrophages, myeloid-derived suppressor cells, and mast cells promote prostate cancer via various intercellular signaling. Further basic studies examining the relationship between the inflammatory process and prostate cancer progression are warranted. Interventions by medications and diets to control systemic and/or local inflammation might be effective therapies for prostate cancer progression. Epidemiological investigations and basic research using human immune cells or mouse models have revealed that non-steroidal anti-inflammatory drugs, metformin, statins, soy isoflavones, and other diets are potential interventions for preventing progression of prostate cancer by suppressing inflammation. It is essential to evaluate appropriate indications and doses of each drug and diet.
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