Literature DB >> 21310616

Internal mammary lymph node metastasis in breast cancer: predictive models to assist with prognostic influence.

F Noushi1, A J Spillane, R F Uren, V Gebski.   

Abstract

BACKGROUND: Metastatic breast cancer in the internal mammary nodes (IMN) indicates a poor prognosis. Several recent epidemiological surveys have determined a reduction in survival for patients with medial compared to lateral sector tumors attributing this to a higher rate of unrecognized IMN metastasis and hence these patients are undertreated with adjuvant therapy.(1-6) AIM: Through mathematical modeling based on large datasets we aim to quantify the impact on survival of IMN metastases at different tumor and axillary stages.
METHODS: Mathematical models were created to estimate the survival of patients with and without IMN metastasis. It was assumed that the different rate of survival between medial and lateral sector breast cancers was a result of the differential rate of unrecognized IMN metastases with resultant under-staging and under treatment. We applied these models on a retrospective database analysis from the Surveillance, Epidemiology and End-Results (SEER) registries from 1994 to 2003.
RESULTS: The 10-year odds of death (OOD) from breast cancer for patients with medial compared with lateral sector tumors ranged from 1.2 to 1.5 depending on stage. The predicted odds of breast cancer death for patients with unrecognized IMN metastases ranged from 2.4 to 20, with the highest OOD in the groups with small tumors and no axillary node metastasis.
CONCLUSIONS: Through modeling we have been able to predict and quantify the significantly worse survival outcomes for patients with undiagnosed IMN metastasis.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21310616     DOI: 10.1016/j.breast.2010.12.008

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  5 in total

1.  Incidence of internal mammary node in locally advanced breast cancer and its correlation with metastatic disease: a retrospective observational study.

Authors:  Somesh Singh; Subhash K Ramani; Ashita Rastogi; Meenakshi H Thakur
Journal:  Br J Radiol       Date:  2019-09-24       Impact factor: 3.039

2.  Detecting of breast cancer metastasis by means of regional lymph node sampling during autologous breast reconstruction--a screening of 519 consecutive patients.

Authors:  Christoph Andree; Volker J Schmidt; Beatrix I J Munder; Katrin Seidenstücker; Philipp Behrendt; Christian Witzel; Raymund E Horch; Brian T Andrews; Philipp Richrath
Journal:  Med Sci Monit       Date:  2012-10

3.  Incidence and Potential Significance of Internal Mammary Lymphadenopathy on Computed Tomography in Patients with a Diagnosis of Primary Breast Cancer.

Authors:  Sarah L Savaridas; Jonathan D Spratt; Julie Cox
Journal:  Breast Cancer (Auckl)       Date:  2015-08-04

4.  DcR3 gene polymorphisms are associated with sporadic breast infiltrating ductal carcinoma in Northeast Chinese women.

Authors:  Zhenkun Fu; Shuang Chen; Shengwei Liu; Shaoli Han; Xiang Gao; Dalin Li; Dianjun Li
Journal:  Oncotarget       Date:  2016-09-06

5.  Infiltration tendency of internal mammary lymph nodes involvement in patients with breast cancer: anatomical characteristics and implications for target delineation.

Authors:  Yujie Wang; Weixiang Qi; Haoping Xu; Miao Zhang; Yimin Han; Jiayi Chen; Cheng Xu
Journal:  Radiat Oncol       Date:  2019-11-21       Impact factor: 3.481

  5 in total

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