Literature DB >> 22314081

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

Jüri R Palisaar1, Joachim Noldus, Björn Löppenberg, Christian von Bodman, Florian Sommerer, Thilo Eggert.   

Abstract

UNLABELLED: 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.
© 2012 BJU INTERNATIONAL.

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Year:  2012        PMID: 22314081     DOI: 10.1111/j.1464-410X.2012.10935.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  8 in total

1.  Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer.

Authors:  Asha Singanamalli; Mirabela Rusu; Rachel E Sparks; Natalie N C Shih; Amy Ziober; Li-Ping Wang; John Tomaszewski; Mark Rosen; Michael Feldman; Anant Madabhushi
Journal:  J Magn Reson Imaging       Date:  2015-06-25       Impact factor: 4.813

2.  Diagnostic Accuracy of Contemporary Selection Criteria in Prostate Cancer Patients Eligible for Active Surveillance: A Bayesian Network Meta-Analysis.

Authors:  Yu Fan; Yelin Mulati; Lingyun Zhai; Yuke Chen; Yu Wang; Juefei Feng; Wei Yu; Qian Zhang
Journal:  Front Oncol       Date:  2022-01-10       Impact factor: 6.244

3.  Pathological Outcome following Radical Prostatectomy in Men with Prostate Specific Antigen Greater than 10 ng/ml and Histologically Favorable Risk Prostate Cancer.

Authors:  Jiwoong Yu; Young Suk Kwon; Sinae Kim; Christopher Sejong Han; Nicholas Farber; Jongmyung Kim; Seok Soo Byun; Wun-Jae Kim; Seong Soo Jeon; Isaac Yi Kim
Journal:  J Urol       Date:  2015-12-01       Impact factor: 7.450

4.  CLINICAL EVALUATION OF AN EPIGENETIC ASSAY TO PREDICT MISSED CANCER IN PROSTATE BIOPSY SPECIMENS.

Authors:  Alan W Partin; Wim VAN Criekinge; Bruce J Trock; Jonathan I Epstein; Leander VAN Neste
Journal:  Trans Am Clin Climatol Assoc       Date:  2016

Review 5.  Prostate Cancer Detection and Prognosis: From Prostate Specific Antigen (PSA) to Exosomal Biomarkers.

Authors:  Xavier Filella; Laura Foj
Journal:  Int J Mol Sci       Date:  2016-10-26       Impact factor: 5.923

6.  Circulating miRNAs in localized/locally advanced prostate cancer patients after radical prostatectomy and radiotherapy.

Authors:  Ahmed H Zedan; Torben F Hansen; Jannie Assenholt; Jonna S Madsen; Palle J S Osther
Journal:  Prostate       Date:  2018-12-09       Impact factor: 4.104

7.  Trans-Perineal Template-Guided Mapping Biopsy vs. Freehand Trans-Perineal Biopsy in Chinese Patients With PSA < 20 ng/ml: Similar Cancer Detection Rate but Different Lesion Detection Rate.

Authors:  Bi-Ming He; Rui Chen; Zhen-Kai Shi; Guang-An Xiao; Hu-Sheng Li; Heng-Zhi Lin; Jin Ji; Hong-Xiang Peng; Yan Wang; Ying-Hao Sun; Hai-Feng Wang
Journal:  Front Oncol       Date:  2019-08-09       Impact factor: 6.244

Review 8.  Targeting MicroRNAs in Prostate Cancer Radiotherapy.

Authors:  Jie Ni; Joseph Bucci; Lei Chang; David Malouf; Peter Graham; Yong Li
Journal:  Theranostics       Date:  2017-07-23       Impact factor: 11.556

  8 in total

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