Literature DB >> 12607597

Relationship between the thymidine labeling and Ki-67 proliferative indices in 126 breast cancer patients.

Annamaria Molino1, Rebecca Pedersini, Rocco Micciolo, Michela Frisinghelli, Monica Giovannini, Michele Pavarana, Rolando Nortilli, Antonio Santo, Pietro Manno, Martina Padovani, Quirino Piubello, Gian Luigi Cetto.   

Abstract

Proliferative activity has been proposed as a prognostic and predictive marker for breast cancer; Ki-67 is one of the most frequently used markers to assess proliferative activity. In the current study, Ki-67 immunoreactivity was comparatively assessed, even in terms prognostic relevance, with 3H-thymidine labeling index as a reference standard for proliferation in 126 patients with stage I and II breast cancer. There was a significant but weak correlation between Ki-67 values and the 3H-thymidine labeling index (r = 0.19, P = 0.03). Analysis of variance showed that the mean 3H-thymidine labeling index values were not statistically different in terms of pathologic size (T1, T2. T3, T4), number of pathologically positive axillary nodes (neg, pos 1-3, pos > 3), and grading classes (1, 2, 3), but significantly and inversely correlated with estrogen receptor status (P = 0.033) and progesterone receptor status (P = 0.08). The Ki-67 values significantly correlated with N status (P = 0.041), estrogen receptor status (P < 0.001), progesterone receptor status (P < 0.001), and grading (P < 0.001). The median follow-up was 37 months. In terms of prognosis, Ki-67 was associated significantly with overall survival (P = 0.01) and marginally with disease-free survival (P = 0.095). A significant difference in prognosis was found for both disease-free survival (P = 0.024) and overall survival (P = 0.040) when a 3H-thymidine labeling index cut-off of 6.5% was used (P = 0.024). The results suggest that, although both are indicators of proliferative activity, 3H-thymidine labeling index and Ki-67 seem to identify breast cancers with different phenotypes.

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Year:  2002        PMID: 12607597     DOI: 10.1097/00129039-200212000-00003

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  1 in total

1.  Evaluating the response of neoadjuvant chemotherapy for treatment of breast cancer: are tumor biomarkers and dynamic contrast enhanced MR images useful predictive tools?

Authors:  Zijing Zhang; Wei Zhang; Yiting Jin; Hongying Wang; Fei Gu; Jian Zhou; Zhengyin Lao; Zude Xu; Feng Tang; Liping Zou; Weijun Tang; Rong Lu; Qiang Zou
Journal:  J Thorac Dis       Date:  2014-06       Impact factor: 2.895

  1 in total

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