Literature DB >> 10680885

Relationship and significance of greatest percentage of tumor and perineural invasion on needle biopsy in prostatic adenocarcinoma.

M A Rubin1, N Bassily, M Sanda, J Montie, M S Strawderman, K Wojno.   

Abstract

Serum prostate-specific antigen (PSA) levels and the biopsy Gleason sum are used along with clinical staging to predict prostatectomy pathology results for men with localized prostate cancer. The additional predictive value of perineural invasion (PNI) in pretreatment prostate needle biopsies for evaluating tumor stage in this setting is controversial. The current study evaluates the independent predictive value of PNI for tumor staging in a cohort of 632 men who underwent radical retropubic prostatectomies for clinically localized adenocarcinoma of the prostate between the years 1994 and 1998. None of these men received hormonal or radiation therapy before surgery. In addition to the Gleason sum, biopsy results contained detailed information regarding tumor burden: 1) total number of biopsy cores involved by adenocarcinoma, 2) greatest percentage of any single biopsy involved by prostate carcinoma (GPC), and 3) total percentage of cancer added over all cores (TPC). The presence or absence of any PNI was recorded. Pretreatment factors were analyzed in a univariate and multivariate fashion to determine their predictive value using the TNM tumor stage (pT2 vs pT3) and the modified tumor staging system, which includes surgical margin status (pT2 vs pT3 or positive surgical margin) as end points. Univariate analysis revealed a significant association between pT3 disease and several preoperative factors including age, Gleason sum, serum PSA, digital rectal examination, PNI, GPC, TPC, and the total number of positive cores (p <0.01). Multivariate analysis indicated that serum PSA, Gleason sum, age, and GPC contributed significantly to predicting pT3 disease with odds ratios of 2.7 (95% CI, 1.7-4.3), 2.3 (95% CI, 1.7-3.1), 1.7 (95% CI, 1.1-2.7), and 1.7 (95% CI, 1.4-2.1) respectively. PNI was significant in multivariate analysis only when GPC and TPC were not considered, due to a significant interaction between GPC and PNI (p <0.0001, Wilcoxon's rank sum test). These predictive factors showed a similar relationship to adverse pathology when an alternative definition of adverse pathology was used that included positive surgical margins (pT3 or any positive margin). In the interaction between GPC and PNI, GPC was more significant than PNI in predicting pT3 disease. However, PNI added additional information when adverse pathology was defined more broadly as pT3 or any positive margin.

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Year:  2000        PMID: 10680885     DOI: 10.1097/00000478-200002000-00003

Source DB:  PubMed          Journal:  Am J Surg Pathol        ISSN: 0147-5185            Impact factor:   6.394


  9 in total

1.  Predicting the risk of non-organ-confined prostate cancer when perineural invasion is found on biopsy.

Authors:  Michael A Gorin; Heather J Chalfin; Jonathan I Epstein; Zhaoyong Feng; Alan W Partin; Bruce J Trock
Journal:  Urology       Date:  2014-03-19       Impact factor: 2.649

2.  Various morphometric measurements of cancer extent on needle prostatic biopsies: which is predictive of pathologic stage and biochemical recurrence following radical prostatectomy?

Authors:  Maisa M Q Quintal; Luciana R Meirelles; Leandro L L Freitas; Luis A Magna; Ubirajara Ferreira; Athanase Billis
Journal:  Int Urol Nephrol       Date:  2011-02-22       Impact factor: 2.370

3.  Angiotropism of human melanoma: studies involving in transit and other cutaneous metastases and the chicken chorioallantoic membrane: implications for extravascular melanoma invasion and metastasis.

Authors:  Claire Lugassy; Stephen E Vernon; Klaus Busam; Jean A Engbring; Danny R Welch; Evangelos G Poulos; Hynda K Kleinman; Raymond L Barnhill
Journal:  Am J Dermatopathol       Date:  2006-06       Impact factor: 1.533

4.  Magnetic Resonance Imaging/Transrectal Ultrasonography Fusion Prostate Biopsy Significantly Outperforms Systematic 12-Core Biopsy for Prediction of Total Magnetic Resonance Imaging Tumor Volume in Active Surveillance Patients.

Authors:  Chinonyerem Okoro; Arvin K George; M Minhaj Siddiqui; Soroush Rais-Bahrami; Annerleim Walton-Diaz; Nabeel A Shakir; Jason T Rothwax; Dima Raskolnikov; Lambros Stamatakis; Daniel Su; Baris Turkbey; Peter L Choyke; Maria J Merino; Howard L Parnes; Bradford J Wood; Peter A Pinto
Journal:  J Endourol       Date:  2015-07-23       Impact factor: 2.942

5.  Prostate cancer: epidemiology and screening.

Authors:  Timothy J Wilt
Journal:  Rev Urol       Date:  2003

Review 6.  Guidelines for processing and reporting of prostatic needle biopsies.

Authors:  Th H van der Kwast; C Lopes; C Santonja; C-G Pihl; I Neetens; P Martikainen; S Di Lollo; L Bubendorf; R F Hoedemaeker
Journal:  J Clin Pathol       Date:  2003-05       Impact factor: 3.411

Review 7.  Immunopathological prognostic and predictive factors in prostate cancer.

Authors:  E Sivridis; S Touloupidis; A Giatromanolaki
Journal:  Int Urol Nephrol       Date:  2002       Impact factor: 2.370

8.  Pericyte-like location of GFP-tagged melanoma cells: ex vivo and in vivo studies of extravascular migratory metastasis.

Authors:  Claire Lugassy; Hynda K Kleinman; Jean A Engbring; Danny R Welch; John F Harms; Robyn Rufner; Ghanem Ghanem; Steven R Patierno; Raymond L Barnhill
Journal:  Am J Pathol       Date:  2004-04       Impact factor: 4.307

9.  Relationship Between Perineural Invasion in Prostate Needle Biopsy Specimens and Pathologic Staging After Radical Prostatectomy.

Authors:  Hassan Niroomand; Mohammadreza Nowroozi; Mohsen Ayati; Hassan Jamshidian; Amir Arbab; Seyed Ali Momeni; Alireza Ghadian; Hamidreza Ghorbani
Journal:  Nephrourol Mon       Date:  2016-03-16
  9 in total

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