Prostate needle biopsies: Multiple variables are predictive of final tumor volume in radical prostatectomy specimens

Chistopher K. Poulos, Joanne Daggy, Liang Cheng

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

BACKGROUND. Tumor volume is one of the most powerful predictors of patient outcome in prostatic adenocarcinoma. It is uncertain as to which preoperative variables are most predictive of final tumor volume at radical prostatectomy, especially among patients who have had positive biopsies at multiple biopsy sites. The current study attempted to identify the biopsy variables that are most predictive of final tumor volume. METHODS. The authors examined prostate biopsy specimens from 151 consecutive patients with at least 2 positive biopsy sites. The following data were collected: highest percentage of adenocarcinoma at any biopsy site, percentage of adenocarcinoma at the biopsy site with the highest Gleason score, highest percentage of cores positive for adenocarcinoma at any biopsy site, percentage of positive cores with carcinoma at the site with the highest Gleason score, number of positive sites, tumor bilaterality, and percentage of biopsy sites positive for disease. All patients underwent radical prostatectomy. The prostatectomy specimens were entirely embedded and whole mounted. Tumor volume was measured using the grid method. Logarithmic transformation was applied to tumor volumes for the purposes of the analysis. RESULTS. Highest percentage of adenocarcinoma at any biopsy site (P = 0.012), percentage of adenocarcinoma at the biopsy site with the highest Gleason score (P = 0.021), number of positive biopsy sites (P = 0.026), tumor bilaterality (P = 0.008), and percentage of biopsy sites positive for disease (P = 0.0001) all were significant predictors of tumor volume on linear regression analysis. Highest percentage of cores positive for adenocarcinoma (P = 0.081) and percentage of positive cores with carcinoma at the site with the highest Gleason score (P = 0.240) were not significant predictors of tumor volume. Based on the model F statistic, percentage of biopsy sites positive for tumor, tumor bilaterality, and highest percentage of adenocarcinoma at any biopsy site were the variables that were most predictive of tumor volume. CONCLUSIONS. Highest percentage of adenocarcinoma at any biopsy site, percentage of adenocarcinoma at the biopsy site with the highest Gleason score, number of positive biopsy sites, tumor bilaterality, and percentage of biopsy sites positive for disease all are useful preoperative predictors of tumor volume in radical prostatectomy specimens. Although these preoperative biopsy parameters were significant in linear regression models, none was sufficient as a single predictor of tumor volume.

Original languageEnglish
Pages (from-to)527-532
Number of pages6
JournalCancer
Volume101
Issue number3
DOIs
StatePublished - Aug 1 2004

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Needle Biopsy
Prostatectomy
Tumor Burden
Prostate
Biopsy
Adenocarcinoma
Neoplasm Grading
Linear Models
Neoplasms
Carcinoma

Keywords

  • Adenocarcinoma
  • Needle biopsy
  • Prostatic neoplasm
  • Radical prostatectomy
  • Tumor volume

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

Cite this

Prostate needle biopsies : Multiple variables are predictive of final tumor volume in radical prostatectomy specimens. / Poulos, Chistopher K.; Daggy, Joanne; Cheng, Liang.

In: Cancer, Vol. 101, No. 3, 01.08.2004, p. 527-532.

Research output: Contribution to journalArticle

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title = "Prostate needle biopsies: Multiple variables are predictive of final tumor volume in radical prostatectomy specimens",
abstract = "BACKGROUND. Tumor volume is one of the most powerful predictors of patient outcome in prostatic adenocarcinoma. It is uncertain as to which preoperative variables are most predictive of final tumor volume at radical prostatectomy, especially among patients who have had positive biopsies at multiple biopsy sites. The current study attempted to identify the biopsy variables that are most predictive of final tumor volume. METHODS. The authors examined prostate biopsy specimens from 151 consecutive patients with at least 2 positive biopsy sites. The following data were collected: highest percentage of adenocarcinoma at any biopsy site, percentage of adenocarcinoma at the biopsy site with the highest Gleason score, highest percentage of cores positive for adenocarcinoma at any biopsy site, percentage of positive cores with carcinoma at the site with the highest Gleason score, number of positive sites, tumor bilaterality, and percentage of biopsy sites positive for disease. All patients underwent radical prostatectomy. The prostatectomy specimens were entirely embedded and whole mounted. Tumor volume was measured using the grid method. Logarithmic transformation was applied to tumor volumes for the purposes of the analysis. RESULTS. Highest percentage of adenocarcinoma at any biopsy site (P = 0.012), percentage of adenocarcinoma at the biopsy site with the highest Gleason score (P = 0.021), number of positive biopsy sites (P = 0.026), tumor bilaterality (P = 0.008), and percentage of biopsy sites positive for disease (P = 0.0001) all were significant predictors of tumor volume on linear regression analysis. Highest percentage of cores positive for adenocarcinoma (P = 0.081) and percentage of positive cores with carcinoma at the site with the highest Gleason score (P = 0.240) were not significant predictors of tumor volume. Based on the model F statistic, percentage of biopsy sites positive for tumor, tumor bilaterality, and highest percentage of adenocarcinoma at any biopsy site were the variables that were most predictive of tumor volume. CONCLUSIONS. Highest percentage of adenocarcinoma at any biopsy site, percentage of adenocarcinoma at the biopsy site with the highest Gleason score, number of positive biopsy sites, tumor bilaterality, and percentage of biopsy sites positive for disease all are useful preoperative predictors of tumor volume in radical prostatectomy specimens. Although these preoperative biopsy parameters were significant in linear regression models, none was sufficient as a single predictor of tumor volume.",
keywords = "Adenocarcinoma, Needle biopsy, Prostatic neoplasm, Radical prostatectomy, Tumor volume",
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AU - Cheng, Liang

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N2 - BACKGROUND. Tumor volume is one of the most powerful predictors of patient outcome in prostatic adenocarcinoma. It is uncertain as to which preoperative variables are most predictive of final tumor volume at radical prostatectomy, especially among patients who have had positive biopsies at multiple biopsy sites. The current study attempted to identify the biopsy variables that are most predictive of final tumor volume. METHODS. The authors examined prostate biopsy specimens from 151 consecutive patients with at least 2 positive biopsy sites. The following data were collected: highest percentage of adenocarcinoma at any biopsy site, percentage of adenocarcinoma at the biopsy site with the highest Gleason score, highest percentage of cores positive for adenocarcinoma at any biopsy site, percentage of positive cores with carcinoma at the site with the highest Gleason score, number of positive sites, tumor bilaterality, and percentage of biopsy sites positive for disease. All patients underwent radical prostatectomy. The prostatectomy specimens were entirely embedded and whole mounted. Tumor volume was measured using the grid method. Logarithmic transformation was applied to tumor volumes for the purposes of the analysis. RESULTS. Highest percentage of adenocarcinoma at any biopsy site (P = 0.012), percentage of adenocarcinoma at the biopsy site with the highest Gleason score (P = 0.021), number of positive biopsy sites (P = 0.026), tumor bilaterality (P = 0.008), and percentage of biopsy sites positive for disease (P = 0.0001) all were significant predictors of tumor volume on linear regression analysis. Highest percentage of cores positive for adenocarcinoma (P = 0.081) and percentage of positive cores with carcinoma at the site with the highest Gleason score (P = 0.240) were not significant predictors of tumor volume. Based on the model F statistic, percentage of biopsy sites positive for tumor, tumor bilaterality, and highest percentage of adenocarcinoma at any biopsy site were the variables that were most predictive of tumor volume. CONCLUSIONS. Highest percentage of adenocarcinoma at any biopsy site, percentage of adenocarcinoma at the biopsy site with the highest Gleason score, number of positive biopsy sites, tumor bilaterality, and percentage of biopsy sites positive for disease all are useful preoperative predictors of tumor volume in radical prostatectomy specimens. Although these preoperative biopsy parameters were significant in linear regression models, none was sufficient as a single predictor of tumor volume.

AB - BACKGROUND. Tumor volume is one of the most powerful predictors of patient outcome in prostatic adenocarcinoma. It is uncertain as to which preoperative variables are most predictive of final tumor volume at radical prostatectomy, especially among patients who have had positive biopsies at multiple biopsy sites. The current study attempted to identify the biopsy variables that are most predictive of final tumor volume. METHODS. The authors examined prostate biopsy specimens from 151 consecutive patients with at least 2 positive biopsy sites. The following data were collected: highest percentage of adenocarcinoma at any biopsy site, percentage of adenocarcinoma at the biopsy site with the highest Gleason score, highest percentage of cores positive for adenocarcinoma at any biopsy site, percentage of positive cores with carcinoma at the site with the highest Gleason score, number of positive sites, tumor bilaterality, and percentage of biopsy sites positive for disease. All patients underwent radical prostatectomy. The prostatectomy specimens were entirely embedded and whole mounted. Tumor volume was measured using the grid method. Logarithmic transformation was applied to tumor volumes for the purposes of the analysis. RESULTS. Highest percentage of adenocarcinoma at any biopsy site (P = 0.012), percentage of adenocarcinoma at the biopsy site with the highest Gleason score (P = 0.021), number of positive biopsy sites (P = 0.026), tumor bilaterality (P = 0.008), and percentage of biopsy sites positive for disease (P = 0.0001) all were significant predictors of tumor volume on linear regression analysis. Highest percentage of cores positive for adenocarcinoma (P = 0.081) and percentage of positive cores with carcinoma at the site with the highest Gleason score (P = 0.240) were not significant predictors of tumor volume. Based on the model F statistic, percentage of biopsy sites positive for tumor, tumor bilaterality, and highest percentage of adenocarcinoma at any biopsy site were the variables that were most predictive of tumor volume. CONCLUSIONS. Highest percentage of adenocarcinoma at any biopsy site, percentage of adenocarcinoma at the biopsy site with the highest Gleason score, number of positive biopsy sites, tumor bilaterality, and percentage of biopsy sites positive for disease all are useful preoperative predictors of tumor volume in radical prostatectomy specimens. Although these preoperative biopsy parameters were significant in linear regression models, none was sufficient as a single predictor of tumor volume.

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KW - Prostatic neoplasm

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