Literature DB >> 27065659

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

Tufale A Dass1, Sharma Rakesh1, K Patil Prakash1, Chandraveer Singh1.   

Abstract

To evaluate the correlation of various clinic-pathological variables with axillary nodal involvement in T1 breast cancer & to identify a sub-group of T1 cancers, on the basis of observed variables, with a low risk of axillary nodal metastases. Clinico-pathological variables observed included tumor size, lymphovascular invasion (LVI), histological grade of tumor, tumor palpability, estrogen/progesterone (ER/PR) & her2/neu receptors, age, family history, histological type of tumor, axillary nodal metastases for 100 patients without clinically palpable nodes who underwent axillary lymph node dissection in Bombay Hospital & Medical Research Center from March, 2009. Data compiled was analyzed by univariate & multivariate analysis. All the variables viz. tumor size, LVI, histological grade, tumor palpability & ER/PR/Her2 receptor profile, which were found to be significantly associated with axillary lymph node involvement (ALNI) on univariate analysis were also found to be independent predictors of ALNI on multivariate analysis. Age of the patient, family history & histological type of tumor were not significantly correlated with ALNI. None of the 12 patients with tumor biomarker profile of T1a-b tumors without LVI & with histological grade I, had ALNI. The risk of ALNI can be predicted by using various tumor biomarker variables. Based on the predicted risk of ALNI, the management strategy for axilla can be individualized. The omission of operative axillary staging may be considered in patients with low predictive risk of ALNI.

Entities:  

Keywords:  Biomarker; Breast; Cancer

Year:  2015        PMID: 27065659      PMCID: PMC4809852          DOI: 10.1007/s13193-015-0424-x

Source DB:  PubMed          Journal:  Indian J Surg Oncol        ISSN: 0975-7651


  31 in total

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Journal:  Cancer Res Treat       Date:  2010-03-31       Impact factor: 4.679

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Journal:  Breast       Date:  2012-09-28       Impact factor: 4.380

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  1 in total

1.  Effect of Lump Size and Nodal Status on Prognosis in Invasive Breast Cancer: Experience from Rural India.

Authors:  Monique Garg; Nitin Nagpal; Darshan Singh Sidhu; Amandeep Singh
Journal:  J Clin Diagn Res       Date:  2016-06-01
  1 in total

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