Prostate cancer ranks second among the causes of death of malignant tumors in middle-aged and elderly men. A considerable number of patients are not easily detected in early-stage prostate cancer. Although traditional imaging examinations are of high value in the diagnosis and staging of prostate cancer, they also have certain limitations. With the development of nuclear medicine instruments and molecular probes, molecular imaging is playing an increasingly important role in the diagnosis and treatment of prostate cancer. Positron emission tomography and computed tomography (PET/CT) using prostate-specific membrane antigen (PSMA) as a probe has gained increasing recognition. This article will review the latest progress in the application of PET/CT using probes for targeting PSMA to imaging and treatment of prostate cancer, in order to provide a theoretical basis for the application of probes for targeting PSMA in the diagnosis and treatment of prostate cancer.
Objective To comprehensively evaluate the association between TNF-α gene ?308 G/A polymorphism and the risk of prostate cancer. Methods A meta-analysis was performed to analyze the association between ?308 G/A polymorphism and the risk of prostate cancer risk. Results A total of 11 case-control studies (4 919 cases and 5 210 controls) were included in this meta-analysis. The result showed no statistically significant differences in all genotype distribution between prostate cancer cases and controls: dominant model (OR=1.11, 95%CI 0.90 to 1.36, P=0.33), recessive model (OR=0.91, 95%CI 0.70 to 1.18, P=0.47), GA versus GG (OR=1.11, 95%CI 0.90 to 1.37, P=0.33), AA versus GG (OR=0.92, 95%CI 0.71 to 1.20, P=0.55), A versus G (OR=1.07, 95%CI 0.91 to 1.26, P=0.39). In the subgroup analysis by ethnicity, no statistically differences were found between prostate cancer cases and controls. Conclusion This results of meta-analysis suggests that TNF-α gene –308G/A polymorphism may not be a risk factor of prostate cancer. Due to the limited quantity of the includied studies, further studies are needed to validate the above conclusion.
ObjectiveTo compare the effectiveness of T2 weighted image (T2WI) and some compounded MRI techniques, including T2WI combined with magnetic resonance spectroscopy (T2WI+MRS), T2WI combined with diffusion weighted imaging (T2WI+DWI) and T2WI combined with dynamic contrast-enhancement [T2WI+(DCE-MRI)] respectively, with 1.5 T MR scanner in diagnosing prostate cancer through a blinding method. MethodsBetween March 2011 and April 2013, two observers diagnosed 59 cases with a blinding method. The research direction of radiologist A was to diagnose prostate cancer. The observers diagnosed and scored the cases with T2WI, T2WI+(DCE-MRI), T2WI+MRS, T2WI+DWI and compositive method respectively. The data were statistically analyzed with receiver operating characteristic (ROC) curve. ResultsAccording to the ROC curve, both observers got the sequence of area under curve (AUC) as T2WI+DWI > T2WI+(DCE-MRI) > T2WI+MRS > T2WI. On the basis of the result from observer A, the AUC from each technique was similar. The AUC of T2+DWI was slightly bigger than others. The specificity of single T2WI was the lowest; the sensitivity of T2WI was slightly higher. The AUC of the compositive method was marginally larger than T2WI+DWI. According to the result from observer B, the AUC of T2WI+DWI was obviously larger than the others. The AUC of single T2WI was much smaller than the other techniques. The single T2WI method had the lowest sensitivity and the highest specificity. The AUC of T2WI+DWI was slightly larger than the compositive method. The AUC of T2WI+(DCE-MRI), T2WI+MRS, single T2WI methods from observer A was obviously higher than those from the score of observer B. The AUC of T2WI+DWI from the two observers was similar. ConclusionThe method of combined T2WI and functional imaging sequences can improve the diagnosing specificity when a 1.5 T MR scanner is used. T2WI+DWI is the best method in diagnosing prostate cancer with least influence from the experience of observers in this research. The compositive method can improve the diagnosis of prostate cancer effectively, but when there are contradictions between different methods, the T2WI+DWI should be considered as a key factor.
Prostate cancer is a common disease in the USA and Europe, with a gradually increasing incidence in China, and presents a significant health burden for older men. The lack of modifiable risk factors has made early detection as a strategy to reduce mortality. Current methods of screening involve the measurement of serum prostate-specific antigen (PSA) and digital rectal examination followed by biopsy. With PSA screening evidence of level I absent, the evidence on the use of PSA as a screening test is still highly controversial. Furthermore, there is controversy over whether screen-detected lesions will become clinically significant. There are three major treatment options for localized disease: radical prostatectomy, radical radiotherapy and monitoring with treatment if required. There is no evidence of randomized controlled trial (RCT) to suggest a survival advantage of any of these treatments. Opinions about the related benefits and risks of screening vary widely. In the absence of RCT of benefit for screening, many now suggest “informed consensus” screening, which encourages a discussion between the patient and his physician with both sides informed of all of the issues.
Objective To analyze the epidemic trend of prostate cancer in China from 1992 to 2021, and predict its epidemic trends from 2022 to 2032. Methods Based on the data of Chinese population and prostate cancer incidence and mortality from Global Burden of Disease Database, the Joinpoint log-linear model was used to analyze the trends of prostate cancer incidence and mortality, use the age-period-cohort model to analyze the effects of age, period and cohort on changes in incidence and mortality, and the gray prediction model was used to predict the trends of prostate cancer. Results From 1992 to 2021, the incidence and mortality of prostate cancer in China showed an upward trend, with AAPC of 5.652% (P<0.001) and 3.466% (P<0.001), and the AAPC of age-standardized incidence decreased to 1.990% (P<0.001), the age-standardized mortality showed a downward trend and was not statistically significant. The results of the age-period-cohort model showed that the net drift values of prostate cancer incidence and mortality were 3.03% and ?1.06%, respectively, and the risk of incidence and mortality gradually increased with age and period. The results of the grey prediction model showed that the incidence and mortality of prostate cancer showed an upward trend from 2022 to 2032, and the incidence trend was more obvious. Conclusion The incidence and mortality of prostate cancer in China showed an increasing trend, with a heavy disease burden and severe forms of prevention and control, so it is necessary to do a good job in monitoring the incidence and mortality of prostate cancer, and strengthen the efficient screening, early diagnosis and treatment of prostate cancer.
ObjectiveTo investigate the expression of tumor necrosis factor-α (TNF-α) in prostate cancer tissue and explore its relations with tumor angiogenesis. MethodsThe expression of TNF-α and CD105 were detected with two-step immunohistochemical staining technique in 20 cases of benign prostatic hyperplasia and 50 cases of prostate cancer between January 2010 and January 2012, and microvessel density (MVD) marked with CD105 was also measured. ResultsThe expressions of TNF-α and CD105 were higher in prostate cancer (41.72±8.67, 20.15±2.67) than those in benign prostatic hyperplasia (21.01±3.85, 4.34±1.67) (t'=13.990, P<0.001; t'=29.771, P<0.001). TNF-α and MVD were not correlated with age and size of tumor, but were positively correlated with tumor differentiation degree (rs=0.847, P<0.001; rs=0.776, P<0.001) and negatively correlated with clinical grades (rs=-0.769, P<0.001; rs=-0.842, P<0.001). ConclusionThe result indicates that over expression of TNF-α exists in prostate cancer. It may play an important role in the anginogenesis and carcinogenesis of prostate cancer.
The incidence of prostate cancer ranks the second in malignant tumors among elderly males. Multi-parametric MRI (Mp-MRI) is an important mean for detection, staging, and grading of prostate cancer. In order to standardize the collection, interpretation, and reporting of prostate MRI data, the European Urogenital Radiology Society launched the Prostate Imaging Reporting and Data System (PI-RADS) in 2012. Due to some limitations in the application process, the Joint Committee of the American Society of Radiology and the European Society of Radiology issued an updated version of PI-PADS V2 in 2014. In recent years, some studies have been carried out on the effectiveness, accuracy, and consistency of the diagnosis of prostate cancer. This article will review the application and research status of PI-RADS V2 system in the diagnosis of Mp-MRI for prostate cancer.
ObjectiveTo assess whether hyperlipoidemia affects the occurrence and progression of prostate cancer (PCA). MethodsA hospital based retrospective study was carried out in Zhangzhou Affiliated Hospital of Fujian Medical University using data from a total of 112 cases of PCA, which underwent radical prostatectomy due to suspected PCA and confirmed by prostate biopsy pathology. ResultsOf the 112 PCA patients, 64 (57.14%) were PCA with hyperlipoidemia (PCA-H). Compared with PCA patients, the patients of PCA-H patients had younger onset age (65.0±5.0 vs. 67.8±3.7, P=0.001), increased prostate volume (75.0±11.7 mL vs. 54.5±8.5 mL, P < 0.001), increased level of TPSA (61.4±23.3 ng/mL vs. 33.4±14.9 ng/mL, P < 0.001), and Gleason grade (6.9±1.8 vs. 5.0±1.9, P < 0.001), later clinical stage (P < 0.001), shorter survival time (49.8±12.7 months vs. 57.3±6.2 months, P < 0.001) and decreased 5 years of survival rate (51.6% vs. 77.1%, P=0.006). The level of cholesterol, triglyceride and high density lipoprotein was significantly associated with the rejuvenation of onset age, the enlargement of prostate volume, increasing of serum TPSA, the progression of TNM clinical stage, increasing of Gleason grade, shorten of survival time and dropping of 5 years of survival rate (P < 0.05). In multiplefactor regression analysis, only hyperlipoidemia (OR=3.204, P=0.022) and Gleason grade (OR=8.611, P < 0.001) were the independent risk factors of prognosis. ConclusionThe situation of PCA with hyperlipoidemia is frequently noted in clinics, and hyperlipoidemia may be one of the risk factors in the processes of PCA growth and progression.
ObjectivesTo systematically review the association between the variants of HNF1B gene and the risk of prostate cancer.MethodsPubMed, EMbase, The Cochrane Library, CNKI, CBM and WanFang Data databases were electronically searched to collect case-control studies on the association between the variants of HNF1B gene and risk of prostate cancer from inception to December, 2017. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed using Stata 14.0 software.ResultsA total of 15 case-control studies involving 30 532 patients and 38 832 controls were included. The results of meta-analysis showed that: there was a strong significant association between rs4430796 variants (Gvs.A: OR=0.802, 95%CI 0.784 to 0.821, P<0.001; GGvs.AA: OR=0.659, 95%CI 0.606 to 0.717, P<0.001; AGvs.AA: OR=0.762, 95%CI 0.714 to 0.814, P<0.001), rs11649743 variants (Avs.G: OR=0.875, 95%CI 0.820 to 0.941, P<0.001; AAvs.GG: OR=0.669, 95%CI 0.564 to 0.792, P<0.001; AGvs.GG: OR=0.855, 95%CI 0.798 to 0.916, P<0.001), rs7501939 variants (Avs.G: OR=0.833, 95%CI 0.807 to 0.859, P<0.001), rs3760511 variants (Avs.C: OR=0.834, 95%CI 0.803 to 0.868, P<0.001) and risk of prostate cancer.ConclusionsCurrent evidence shows that HNF1B gene variants are associated with risk of prostate cancer. Due to limited quantity and quality of the included studies, more high quality studies are required to verify the above conclusion.