Literature DB >> 18767043

Prognostic value of Her-2/neu and DNA index for progression, metastasis and prostate cancer-specific death in men with long-term follow-up after radical prostatectomy.

Sumit Isharwal1, Michael Craig Miller, Jonathan I Epstein, Leslie A Mangold, Elizabeth Humphreys, Alan W Partin, Robert W Veltri.   

Abstract

Abnormal DNA content in tumor cells represents large scale chromosomal alterations and reflects later changes of genetic instability. Her-2/neu oncogene is amplified in 20-30% of breast and ovarian cancer patients and is associated with poor prognosis. Therefore, we evaluated prognostic value of Her-2/neu expression and DNA content measurements in 252 clinically localized PCa patients with long-term follow-up after radical prostatectomy for progression, metastasis and PCa-specific death. Her-2/neu expression was determined by immunohistochemistry and DNA content measurements employed Feulgen-stained cancer nuclei captured using static image cytometry system. Cox proportional hazard regression and Kaplan-Meir plots were used to identify significant prognostic factors for progression, metastasis and PCa-specific death. The proportions of Her-2/neu positive and high %DNA index tumors significantly increased from nonprogressor to progressors without metastasis to progressors with metastasis (p < 0.0001; <0.0001). Further, the proportions of Her-2/neu positive and high %DNA index tumors significantly increased from patients who died from another cause without progression to those who died from another cause with progression to those died with PCa-specific death (p = 0.027; <0.0001). Her-2/neu expression and %DNA index were significant prognosticators for progression (p <or= 0.001), metastasis (p <or= 0.01) PCa-specific death (p <or= 0.04) in univariate analyses. Multivariately, Her-2/neu expression and %DNA index were also significant for progression (p = 0.001), metastasis (p = 0.001) and PCa-specific death (p = 0.02). When all other clinicopathologic information is available, the increment in concordance index by addition of either Her-2/neu or DNA index was approximately 2% and of both biomarkers was approximately 3% for progression, metastasis and PCa-specific death free survival models. Therefore, patients with Her-2/neu positive and high %DNA index are at a higher risk for disease progression, metastasis and PCa-specific death. Further, Her-2/neu expression and %DNA index may be used with clinicopathologic parameters for prediction of long-term prognosis in PCa. (c) 2008 Wiley-Liss, Inc.

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Year:  2008        PMID: 18767043      PMCID: PMC2652562          DOI: 10.1002/ijc.23838

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  56 in total

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Journal:  Urology       Date:  2002-05       Impact factor: 2.649

2.  Her-2-neu expression and progression toward androgen independence in human prostate cancer.

Authors:  S Signoretti; R Montironi; J Manola; A Altimari; C Tam; G Bubley; S Balk; G Thomas; I Kaplan; L Hlatky; P Hahnfeldt; P Kantoff; M Loda
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Journal:  Cancer       Date:  2001-06-01       Impact factor: 6.860

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5.  HER2 protein expression and gene amplification in androgen-independent prostate cancer.

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  10 in total

Review 1.  Nuclear morphometry, nucleomics and prostate cancer progression.

Authors:  Robert W Veltri; Christhunesa S Christudass; Sumit Isharwal
Journal:  Asian J Androl       Date:  2012-04-16       Impact factor: 3.285

2.  Postoperative prostate-specific antigen nadir improves accuracy for predicting biochemical recurrence after radical prostatectomy: Results from the Shared Equal Access Regional Cancer Hospital (SEARCH) and Duke Prostate Center databases.

Authors:  Daniel M Moreira; Joseph C Presti; William J Aronson; Martha K Terris; Christopher J Kane; Christopher L Amling; Leon L Sun; Judd W Moul; Stephen J Freedland
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3.  ProPSA and diagnostic biopsy tissue DNA content combination improves accuracy to predict need for prostate cancer treatment among men enrolled in an active surveillance program.

Authors:  Sumit Isharwal; Danil V Makarov; Lori J Sokoll; Patricia Landis; Cameron Marlow; Jonathan I Epstein; Alan W Partin; H Ballentine Carter; Robert W Veltri
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5.  Efficient acquisition of dual metastasis organotropism to bone and lung through stable spontaneous fusion between MDA-MB-231 variants.

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6.  A Novel Quantitative Multiplex Tissue Immunoblotting for Biomarkers Predicts a Prostate Cancer Aggressive Phenotype.

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7.  miR-331-3p regulates ERBB-2 expression and androgen receptor signaling in prostate cancer.

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8.  Data analysis algorithm for the development of extracellular miRNA-based diagnostic systems for prostate cancer.

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Review 9.  The role of treatment modality on the utility of predictive tissue biomarkers in clinical prostate cancer: a systematic review.

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Review 10.  MicroRNA as new tools for prostate cancer risk assessment and therapeutic intervention: results from clinical data set and patients' samples.

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  10 in total

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