Literature DB >> 12408371

T1 breast cancer: identification of patients at low risk of axillary lymph node metastases.

Arnim A Bader1, Joke Tio, Edgar Petru, Michael Bühner, Annette Pfahlberg, Hildegard Volkholz, Augustinus H Tulusan.   

Abstract

OBJECTIVE: The status of the axillary lymph nodes is one of the most important prognostic factors in patients with breast cancer. A panel of molecular markers of tumor aggressiveness in addition to conventional clinical and histopathologic features were analyzed in an attempt to identify a subgroup of patients with a low risk of axillary lymph node metastases.
MATERIAL AND METHODS: Data from 358 patients with T1 breast cancer who underwent level I/II axillary lymph node dissection (ALND) were investigated. Hormone receptor status, Ki-67, S-phase fraction, DNA ploidy, HER-2/neu, p53, epidermal growth factor receptor, urokinase type plasminogen activator, plasminogen activator inhibitor-1, bone marrow micrometastases as well as patient age, menopausal status, tumor site, tumor size, histologic type, tumor grade, carcinoma in situ, multifocality, and lymph vascular invasion (LVI) were studied to predict axillary lymph node status.
RESULTS: In a multivariate logistic regression analysis LVI (present v.s. not present), Ki-67 (> or = 18% v.s. < 18%), tumor size (1.1-2 cm v.s. < or = 1 cm), and histologic grade (G3 v.s. G1/2) were identified as independent predictive factors of axillary lymph node metastases. Approximately 13% of patients (n = 47) with well or moderately differentiated tumors less than or equal to 1 cm, no lymph vascular invasion, and a low Ki-67 staining were identified as having a low risk of axillary lymph node metastases of 4.3%. However, 20 patients with all four unfavorable predictive factors had a 75% incidence of axillary lymph node involvement.
CONCLUSION: Primary tumor characteristics can be used to identify a subgroup of patients with a low risk of axillary lymph node metastases in T1 breast cancer. Preoperative risk assessment might be used to omit routine ALND in those patients at low risk of axillary lymph node metastases.

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Year:  2002        PMID: 12408371     DOI: 10.1023/a:1020231300974

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  12 in total

1.  Immunohistochemical quantification of the vitamin B12 transport protein (TCII), cell surface receptor (TCII-R) and Ki-67 in human tumor xenografts.

Authors:  Annette M Sysel; Victor E Valli; Ray B Nagle; Joseph A Bauer
Journal:  Anticancer Res       Date:  2013-10       Impact factor: 2.480

2.  Predictors of axillary lymph node metastases (ALNM) in a Korean population with T1-2 breast carcinoma: triple negative breast cancer has a high incidence of ALNM irrespective of the tumor size.

Authors:  Jong Hoon Lee; Sung Hwan Kim; Young Jin Suh; Byoung Yong Shim; Hoon Kyo Kim
Journal:  Cancer Res Treat       Date:  2010-03-31       Impact factor: 4.679

3.  Tumour 18 F-FDG Uptake on preoperative PET/CT may predict axillary lymph node metastasis in ER-positive/HER2-negative and HER2-positive breast cancer subtypes.

Authors:  Jin You Kim; Suck Hong Lee; Suk Kim; Taewoo Kang; Young Tae Bae
Journal:  Eur Radiol       Date:  2014-10-09       Impact factor: 5.315

4.  Associated Features with Non-Sentinel Lymph Node Involvement in Early Stage Breast Cancer Patients who Have Positive Macrometastatic Sentinel Lymph Node.

Authors:  Hakan Ataş; Buket Altun Özdemir; Ebru Menekşe; Sabri Özden; Yunus Nadi Yüksek; Gül Dağlar
Journal:  Eur J Breast Health       Date:  2020-04-17

5.  S100A14, a member of the EF-hand calcium-binding proteins, is overexpressed in breast cancer and acts as a modulator of HER2 signaling.

Authors:  Chengshan Xu; Hongyan Chen; Xiang Wang; Jidong Gao; Yiqun Che; Yi Li; Fang Ding; Aiping Luo; Shuguang Zhang; Zhihua Liu
Journal:  J Biol Chem       Date:  2013-11-27       Impact factor: 5.157

6.  Predictors of axillary lymph node metastases in breast cancer: is there a role for minimal axillary surgery?

Authors:  C H Yip; N A Taib; G H Tan; K L Ng; B K Yoong; W Y Choo
Journal:  World J Surg       Date:  2009-01       Impact factor: 3.352

7.  Collagen alpha1(XI) in normal and malignant breast tissue.

Authors:  Karen C Halsted; Kara B Bowen; Laura Bond; Sarah E Luman; Cheryl L Jorcyk; William E Fyffe; Joseph D Kronz; Julia T Oxford
Journal:  Mod Pathol       Date:  2008-07-25       Impact factor: 7.842

8.  Correlation of Various Biomarkers with Axillary Nodal Metastases: Can a Panel of Such Biomarkers Guide Selective Use of Axillary Surgery in T1 Breast Cancer?

Authors:  Tufale A Dass; Sharma Rakesh; K Patil Prakash; Chandraveer Singh
Journal:  Indian J Surg Oncol       Date:  2015-07-24

9.  Lymphangiogenesis and lymphatic metastasis in breast cancer.

Authors:  Sophia Ran; Lisa Volk; Kelly Hall; Michael J Flister
Journal:  Pathophysiology       Date:  2009-12-24

10.  The molecular subtype classification is a determinant of sentinel node positivity in early breast carcinoma.

Authors:  Fabien Reyal; Roman Rouzier; Berenice Depont-Hazelzet; Marc A Bollet; Jean-Yves Pierga; Severine Alran; Remy J Salmon; Virginie Fourchotte; Anne Vincent-Salomon; Xavier Sastre-Garau; Martine Antoine; Serge Uzan; Brigitte Sigal-Zafrani; Yann De Rycke
Journal:  PLoS One       Date:  2011-05-31       Impact factor: 3.240

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