Effect of the number of biopsy cores on prostate cancer detection and staging

LncRNA MAGI2-AS3 Inhibits Prostate Cancer Progression by Targeting the miR-142-3p

Prostate cancer is a common male cancer with high morbidity and mortality worldwide. According to current research, the integration of long non-coding RNA (lncRNAs) and microRNA(miRNAs) can be expressed in a variety of cancers and play an important role in diagnosis. Based on this, this study explored the clinical role of lncRNA MAGI2-AS3 (MAGI2-AS3) in prostate cancer. By detecting the expression levels of MAGI2-AS3 and miR-142-3p, the correlation between the MAGI2-AS3 expression and the characteristics of clinical data was analyzed. ROC curve analysis was performed and the area under the ROC curve (AUC) was used to evaluate the diagnostic value of MAGI2-AS3 in distinguishing prostate cancer patients from healthy controls. The function of MAGI2-AS3 in prostate cancer cells was explored through CCK-8 and Transwell assays, and the relationship between MAGI2-AS3 and miR-142-3p was investigated by luciferase activity assay. MAGI2-AS3 has descended expression while miR-142-3p has an ascendant one in prostate cancer serum samples and cells. ROC curve analysis revealed that the AUC was 0.953 for MAGI2-AS3, with a sensitivity of 91.5% and specificity of 84.7%. Overexpression of MAGI2-AS3 in LNCaP and PC3 cells suppressed the biological function of the cell including proliferation capacity, migration level, and invasion. MAGI2-AS3 was considered a diagnostic biomarker for prostate cancer patients and inhibited prostate cancer progression by targeting miR-142-3p.

Fifteen-year analysis of prostate biopsies in Western Australia including recent impact of multiparametric magnetic resonance imaging

BACKGROUND

The number of men undergoing prostate biopsy and subsequent cancer detection rates has changed significantly over the past 15 years. We aim to evaluate changes in the diagnostic pathway of prostate cancer between 2003 and 2018.

METHODS

A total of 13 844 Western Australian biopsy-naive men were assessed to determine trends in age, prostate-specific antigen levels, number of core samples, positive cores and tumour grade (Gleason) between 2003 and 2018. Further, in 2018, the impact of pre-biopsy multiparametric magnetic resonance imaging (mpMRI) was also assessed.

RESULTS

Between 2003 and 2012, the number of men undergoing biopsy increased from 1445 to 3100. During this time, the prostate cancer detection rate (%) remained unchanged. However, in 2018, 2042 men underwent prostate biopsy (reduction of 34.1%) and the detection rate increased to 72.6%. The incidence of low-grade cancer (Gleason score <7) increased from 28.1% in 2003 to 36.2% in 2012, but it decreased significantly to 15.1% by 2018. High-grade cancer (Gleason score >7) declined from 21.3% in 2003 to 15.2% in 2012 but then increased to 35.7% in 2018. The use of mpMRI in 2018 improved the detection rate of high-grade cancer. However, its specificity remains low (29.7%) and a considerable proportion of low Prostate Imaging Reporting and Data System score lesions was later diagnosed with cancer unsuitable for active surveillance.

CONCLUSION

In recent years, there has been a significant increase in the diagnosis high-grade cancer and a reduction in cancer suitable for active surveillance. mpMRI identifies high-grade tumours but is not a reliable alternative to prostate biopsy.

The role of image guided biopsy targeting in patients with atypical small acinar proliferation

PURPOSE

Men diagnosed with atypical small acinar proliferation are counseled to undergo early rebiopsy because the risk of prostate cancer is high. However, random rebiopsies may not resample areas of concern. Magnetic resonance imaging/transrectal ultrasound fusion guided biopsy offers an opportunity to accurately target and later retarget specific areas in the prostate. We describe the ability of magnetic resonance imaging/transrectal ultrasound fusion guided prostate biopsy to detect prostate cancer in areas with an initial diagnosis of atypical small acinar proliferation.

MATERIALS AND METHODS

Multiparametric magnetic resonance imaging of the prostate and magnetic resonance imaging/transrectal ultrasound fusion guided biopsy were performed in 1,028 patients from March 2007 to February 2014. Of the men 20 met the stringent study inclusion criteria, which were no prostate cancer history, index biopsy showing at least 1 core of atypical small acinar proliferation with benign glands in all remaining cores and fusion targeted rebiopsy with at least 1 targeted core directly resampling an area of the prostate that previously contained atypical small acinar proliferation.

RESULTS

At index biopsy median age of the 20 patients was 60 years (IQR 57-64) and median prostate specific antigen was 5.92 ng/ml (IQR 3.34-7.48). At fusion targeted rebiopsy at a median of 11.6 months 5 of 20 patients (25%, 95% CI 6.02-43.98) were diagnosed with primary Gleason grade 3, low volume prostate cancer. On fusion rebiopsy cores that directly retargeted areas of previous atypical small acinar proliferation detected the highest tumor burden.

CONCLUSIONS

When magnetic resonance imaging/transrectal ultrasound fusion guided biopsy detects isolated atypical small acinar proliferation on index biopsy, early rebiopsy is unlikely to detect clinically significant prostate cancer. Cores that retarget areas of previous atypical small acinar proliferation are more effective than random rebiopsy cores.

Low risk patients benefit from extreme anterior apical sampling on initial biopsy for prostate cancer diagnosis

BACKGROUND

To assess the effect of additional extreme apical sampling on prostate cancer (PCa) detection and aggressiveness in patients with standard risk versus high risk of a positive biopsy.

METHODS

Three thousand fifty three men were reviewed from our institution review board approved prostate biopsy database. Two thousand five hundred and twenty one underwent biopsy with 12 cores while 532 underwent 14 core sampling (2 extra cores from the extreme anterior apex). Patients were stratified into one of two risk groups: (1) standard risk of PCa (elevated prostate specific antigen (PSA) < 10 ng/ml, normal digital rectal exam (DRE), and no lesions on transrectal ultrasound (TRUS)), and (2) higher risk of PCa (PSA > 10 ng/ml and/or abnormal DRE and/or lesion on TRUS). Prostate cancer detection and disease characteristics were compared between the biopsy schemes stratified by risk of a positive biopsy.

RESULTS

PCa detection with 14 core sampling was more likely in all patients (OR 1.339, 95% CL 1.070-1.676) and in men with standard risk (OR 1.334, 95% CL 1.007-1.769). A greater median number of positive cores (3 vs. 2) and a higher maximum cancer % per core (40% vs. 25%) were seen in the 14 core cohort when stratified to standard risk. Gleason ≥7 was more likely detected with 14 cores in the standard risk group (55.6% vs. 45.2%). Differences in PCa detection and Gleason ≥7 between biopsy techniques were not noted in the higher risk group.

CONCLUSION

Extreme apical sampling increases aggressive cancer detection on initial biopsy, especially in patients with standard risk of PCa.

Is an initial saturation prostate biopsy scheme better than an extended scheme for detection of prostate cancer? A systematic review and meta-analysis

CONTEXT

The optimal initial prostate biopsy core number is still an issue with many unanswered questions and significant controversy.

OBJECTIVE

To compare diagnostic values of initial saturation prostate biopsy scheme and extended scheme with respect to prostate-specific antigen (PSA) levels, prostate volume (PV), and PSA density (PSAD).

EVIDENCE ACQUISITION

Electronic databases including Medline, Web of Knowledge, and the Cochrane Library were searched through November 1, 2012. Experts were consulted, and references from relevant articles were scanned. The meta-analysis was conducted with RevMan 5.1, according to the PRISMA guidelines. Mantel-Haenszel estimates were calculated and pooled under a fixed or random effect model, with data expressed as risk difference (RD) and 95% confidence interval (CI).

EVIDENCE SYNTHESIS

We analyzed eight trials with a total of 11997 participants who underwent transrectal ultrasound guided prostate biopsies for the first time and met inclusion criteria. Studies consisted of one paired design study, two randomized clinical trials, and five nonrandomized studies. Saturation biopsy scheme showed a significant advantage in prostate cancer (PCa) detection over an extended scheme (RD: 0.04; 95% CI, 0.01-0.08; p=0.02). In addition, subgroup analyses found a saturation protocol to be superior to an extended protocol in the detection of PCa in men with PSA <10 ng/ml (RD: 0.04; 95% CI, 0.01-0.07; p=0.002), PV >40 ml (RD: 0.05; 95%CI, 0.01-0.09; p=0.02), or PSAD <0.25 ng/ml per gram (RD: 0.04; 95% CI, 0.00-0.09; p=0.04).

CONCLUSIONS

The existing evidence indicates that an initial saturation biopsy scheme is more efficient than an extended scheme for PCa detection, especially for those men with lower PSA levels, higher PV, or lower PSAD, without increasing complications and the amount of insignificant cancer.

Comprehensive report on prostate cancer misclassification by 16 currently used low-risk and active surveillance criteria

What's known on the subject? and What does the study add? Prostate cancer characterisation, based on laboratory findings, clinical examination and histopathological cancer features that are used to define selection criteria for AS, is not ideal. Consequently, a panel of strict or more lenient criteria to select patients for AS have been published. Studies investigating the relationship between pretreatment variables and final pathology have been done in the past showing the risk of cancer misclassification for some criteria. No study has presented an overview of cancer selection using a panel of 16 currently used AS criteria that is presented in the present study. In an exactly defined cohort after radical prostatectomy, each set of criteria was used as a diagnostic test to separate between patients with more favourable (pT2, no Gleason upgrade between biopsy grading and final pathology) and unfavourable cancer features (pT3, pN+, Gleason upgrade). To the best of our knowledge a comparison of test quality criteria for AS criteria given by sensitivity, specificity, positive and negative predictive value and likelihood ratio has not yet been reported. Moreover, we showed that tumour characterisation, by a formally sufficient 12-core biopsy, in the present dataset harboured a risk of ≈20% that unfavourable cancer features were missed regardless of whether strict or more lenient selection criteria for AS were chosen.

OBJECTIVE

To evaluate final histopathological features among men diagnosed with prostate cancer eligible for low-risk (LR) or active surveillance (AS) criteria.

PATIENTS AND METHODS

Retrospective application of 16 definitions for AS or LR prostate cancer to a contemporary (January 2008 to March 2011) open retropubic radical prostatectomy (RRP) series of 1745 patients.

EXCLUSION CRITERIA

neoadjuvant hormones, radiotherapy, inadequate histopathological reports, <10 biopsy cores. Report on the number of men with insignificant tumours (defined as: ≤pT2, Gleason score ≤6, tumour volume <0.5 mL) and men who had unfavourable tumour characteristics on final pathology (defined as: extracapsular extension or seminal vesicle invasion or lymph node metastasis or Gleason upgrading). Sensitivity, specificity, positive predictive value (PPV) and negative predictive values (NPV) were calculated.

RESULTS

Eligibility of patients in the final study cohort (n = 1070) varied from 5.1% to 92.7% depending on the AS or LR criteria used. Final pathology revealed 77 insignificant cancers and 578 patients who had unfavourable histopathological criteria. The detection rate for insignificant cancers on final pathology was variable ranging from 7.8% to 28.3% depending on the AS- or LR-prediction tool used; unfavourable tumour characteristics were found in up to 33.5% on final pathology. The sensitivity, specificity, PPV and NPV were 8.5-97.9%, 24.7-97.8%, 67.7-89.1% and 45.3-78.2%, respectively. The likelihood ratio to correctly identify a patient with LR disease on final pathology ranged from 1.3 to 8.

CONCLUSIONS

AS or LR criteria have a significant risk of cancer misclassification. Better prediction tools are needed to improve these criteria. Re-biopsy might improve safety and should be considered more frequently in patients who opt for AS.

The optimal rebiopsy prostatic scheme depends on patient clinical characteristics: results of a recursive partitioning analysis based on a 24-core systematic scheme

BACKGROUND

The most beneficial number and the location of prostate biopsies remain matters of debate, especially after an initial negative biopsy.

OBJECTIVE

To identify the optimal combination of sampling sites (number and location) to detect prostate cancer (PCa) in patients previously submitted to an initial negative prostatic biopsy.

DESIGN, SETTING, AND PARTICIPANTS

A transrectal ultrasound-guided systematic 24-core prostate biopsy (24PBx) was performed prospectively in 340 consecutive patients after a first negative biopsy (at least 12 cores).

MEASUREMENTS

We relied on a classification and regression tree analysis to identify three clinically different subgroups of patients at dissimilar risk of harboring PCa at second biopsy. Subsequently, we set the cancer-positive rate of the 24PBx at 100% and calculated PCa detection rates for 255 possible combinations of sampling sites. We selected the optimal biopsy scheme (defined as the combination of sampling sites that detected 95% of all the cancers with the minimal number of biopsy cores) for each patient subgroup.

RESULTS AND LIMITATIONS

After an initial negative biopsy, cancer was detected at rebiopsy in 95 men (27.9%). At a given number of cores, the cancer detection rates varied significantly according to the different combination of sites considered. Three different PCa risk groups were identified: (1) previous report of atypical small acinar proliferation of the prostate (ASAP), (2) no previous ASAP and ratio of free prostate-specific antigen (fPSA) to total PSA (%fPSA) ≤10%, and (3) no previous ASAP and %fPSA >10%. For patients with previous ASAP or patients with no previous ASAP and %fPSA ≤10%, two schemes with different combinations of 14 cores were most favorable. The optimal sampling in patients with no previous ASAP and %fPSA >10% was a scheme with a combination of 20 cores.

CONCLUSIONS

Both the number and the location of biopsy cores taken affect cancer detection rates in a repeated biopsy setting. We developed an internally validated flowchart to identify the most advantageous set of sampling sites according to patient characteristics.