Tumor microvessel density, p53 expression, tumor size, and peritumoral lymphatic vessel invasion are relevant prognostic markers in node-negative breast carcinoma.

Author:

Gasparini G,Weidner N,Bevilacqua P,Maluta S,Dalla Palma P,Caffo O,Barbareschi M,Boracchi P,Marubini E,Pozza F

Abstract

PURPOSE To determine the absolute and relative value of microvessel density (MVD), p53 and c-erbB-2 protein expression, peritumoral lymphatic vessel invasion (PLVI), and conventional prognosticators in predicting relapse-free (RFS) and overall survival (OS) rates in patients with node-negative breast carcinoma (NNBC). PATIENTS AND METHODS We monitored 254 consecutive patients with NNBC for a median of 62 months. Intratumoral MVD was measured after microvessels were immunostained using anti-CD31 antibody. p53 and c-erbB-2 protein and hormone receptors were also determined immunocytochemically. Results were analyzed by both univariate and multivariate statistical analysis. RESULTS Univariate analysis showed that MVD was significantly predictive of both RFS (odds ratio [OR], 8.30; P = .0001) and OS (OR, 4.50; P = .012) when tested as a continuous or dichotomous variable. Likewise, tumor size (OR, 3.16; P = .0012), PLVI (OR, 4.36; P = .0009), estrogen receptor (ER) status (OR, 2.35; P = .016), progesterone receptor (PR) status (OR, 2.00; P = .017), and expression of p53 protein (OR, 2.82; P = .004) were significantly associated with RFS. Tumor size (OR, 3.80; P = .0038) and expression of p53 protein (OR, 2.58; P = .024) were significantly associated with OS by univariate analysis. Multivariate analysis showed that MVD (P = .0004), p53 protein expression (P = .0063), tumor size (P = .0144), and PLVI (P = .0033) were all significant and independent prognostic factors for RFS. However, only tumor size (P = .004) and MVD (P = .047) were independent predictors for OS. c-erbB2 expression was not associated with outcome by either univariate or multivariate analysis. CONCLUSION MVD, p53 expression, PLVI, and tumor size are independent prognostic indicators of recurrence, which are useful in selection of high-risk NNBC patients who may be eligible to receive adjuvant therapies.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3