Fine tuning of the Van Nuys prognostic index (VNPI) 2003 by integrating the genomic grade index (GGI): new tools for ductal carcinoma in situ (DCIS)

Breast J. 2011 Jul-Aug;17(4):343-51. doi: 10.1111/j.1524-4741.2011.01091.x. Epub 2011 Jun 6.

Abstract

Ductal carcinoma in situ (DCIS) is considered a heterogeneous premalignant condition of the breast with a certain probability for progressing to malignancy. There is no standard of care. The updated Van Nuys Prognostic Index (VNPI) 2003 is a clinical tool in treatment decision making. This study assessed the prognostic value of the VNPI after integration of proliferative biomarkers (GGI and Ki-67). DCIS samples were divided into three VNPI subgroups (low risk [score 4-6], intermediate risk [score 7-9], high risk [score 10-12]) based on nuclear grade ± necrosis, tumor size, margin width, and age. Nuclear grade was substituted by the genomic grade index (GGI) to generate the VNPI-GGI and combined with the Ki-67 to generate the VNPI-Ki67. Disease-free survival was calculated by Kaplan-Meier survival plots with log-rank significance. Multiple regression analysis was carried out using Cox proportional hazard regression analysis. A total of 88 cases (median age 54 years) with representative tissue were identified out of 168 DCIS patients. Median follow-up was more than 5 years. Ten patients developed an ipsilateral recurrence of whom nine were invasive: six patients were classified in the VNPI subgroup 2 and three patients in the VNPI subgroup 3. One non-invasive recurrence (DCIS) was classified in the VNPI subgroup III. A statistical association was observed between a high VNPI score and a higher risk of recurrence (HR = 7.72 [95% CI 1.01-58.91], p = 0.049). Ki-67 did not improve the prognostic value of VNPI (HR = 6.5, [95% CI 0.80-53.33], p = 0.08). In contrast, the VNPI-GGI could identify more accurately high-risk DCIS patients with early relapses within 5 years (HR = 18.14 [95% CI 1.75-188], p = 0.015). GGI incorporated into the VNPI improved its prognostic value for DCIS, especially for identifying early relapses. This method should be validated and incorporated in future prospective clinical DCIS trials.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Breast Neoplasms / genetics
  • Breast Neoplasms / mortality*
  • Breast Neoplasms / pathology
  • Carcinoma, Intraductal, Noninfiltrating / genetics
  • Carcinoma, Intraductal, Noninfiltrating / mortality*
  • Carcinoma, Intraductal, Noninfiltrating / pathology
  • Female
  • Genomics
  • Humans
  • Ki-67 Antigen / analysis
  • Middle Aged
  • Prognosis
  • Proportional Hazards Models

Substances

  • Ki-67 Antigen