scholarly journals Protein expression and molecular profiling to predict lymph node status and prognosis in breast cancer

2016 ◽  
Author(s):  
Glenn Francis
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Protein Expression ◽  
Molecular Profiling ◽  
Lymph Node Status ◽  
Node Status

scholarly journals Human AP endonuclease 1 (HAP1) protein expression in breast cancer correlates with lymph node status and angiogenesis

1998 ◽  
Vol 77 (7) ◽  
pp. 1169-1173 ◽  
Author(s):  
S Kakolyris ◽  
L Kaklamanis ◽  
K Engels ◽  
SB Fox ◽  
M Taylor ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Protein Expression ◽  
Lymph Node Status ◽  
Ap Endonuclease ◽  
Node Status ◽  
Ap Endonuclease 1

Expression of CXCR4 is associated with axillary lymph node status in patients with early breast cancer

The Breast ◽  
2006 ◽  
Vol 15 (4) ◽  
pp. 533-539 ◽  
Author(s):  
Y.-C. Su ◽  
M.-T. Wu ◽  
C.-J. Huang ◽  
M.-F. Hou ◽  
S.-F. Yang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Early Breast Cancer ◽  
Axillary Lymph Node ◽  
Lymph Node Status ◽  
Axillary Lymph ◽  
Axillary Lymph Node Status ◽  
Node Status

Correlation of Histologic Grade and Lymph Node Status with Some Histopathologic Discriminants in Breast Cancer

1986 ◽  
Vol 72 (1) ◽  
pp. 43-51 ◽  
Author(s):  
Mariano Urdiales-Viedma ◽  
Francisco Nogales-Fernandez ◽  
Sebastian Martos-Padilla ◽  
Emilio Sanchez-Cantalejo
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Histologic Grade ◽  
Lymph Node Status ◽  
Node Status

Abstract P3-10-07: Lymph node status and survival in inflammatory breast cancer

2012 ◽  
Author(s):  
MR Sieffert ◽  
RC Pedersen ◽  
W Tereffe ◽  
H Cui ◽  
RR Woods ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Inflammatory Breast Cancer ◽  
Lymph Node Status ◽  
Node Status

scholarly journals Nomogram for Predicting Lymph Node Involvement in Triple-Negative Breast Cancer

2020 ◽  
Vol 10 ◽  
Author(s):  
Xiang Cui ◽  
Hao Zhu ◽  
Jisheng Huang
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Predictive Factors ◽  
Operating Characteristic ◽  
Triple Negative ◽  
Lymph Node Status ◽  
Multivariate Logistic Regression ◽  
Receiver Operating Characteristic Curves ◽  
Node Metastasis ◽  
Node Status

BackgroundLymph node metastasis of triple-negative breast cancer (TNBC) is essential in treatment strategy formulation. This study aimed to build a nomogram that predicts lymph node metastasis in patients with TNBC.Materials and MethodsA total of 28,966 TNBC patients diagnosed from 2010 to 2017 in the Surveillance, Epidemiology and End Results (SEER) database were enrolled, and randomized 1:1 into the training and validation sets, respectively. Univariate and multivariate logistic regression analysis were applied to identify the predictive factors, which composed the nomogram. The receiver operating characteristic curves showed the efficacy of the nomogram.ResultMultivariate logistic regression analyses revealed that age, race, tumor size, tumor primary site, and pathological grade were independent predictive factors of lymph node status. Integrating these independent predictive factors, a nomogram was successfully developed for predicting lymph node status, and further validated in the validation set. The areas under the receiver operating characteristic curves of the nomogram in the training and validation sets were 0.684 and 0.689 respectively, showing a satisfactory performance.ConclusionWe constructed a nomogram to predict the lymph node status in TNBC patients. After further validation in additional large cohorts, the nomogram developed here would do better in predicting, providing more information for staging and treatment, and enabling tailored treatment in TNBC patients.

scholarly journals Neopterin Is an Independent Prognostic Variable in Females with Breast Cancer

1999 ◽  
Vol 45 (11) ◽  
pp. 1998-2004 ◽  
Author(s):  
Christian Murr ◽  
Anton Bergant ◽  
Martin Widschwendter ◽  
Kurt Heim ◽  
Hans Schröcksnadel ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Tumor Size ◽  
Distant Metastases ◽  
Cell Immune Response ◽  
Lymph Node Status ◽  
Risk Of Death ◽  
Node Status ◽  
Urinary Neopterin

Abstract Background: Neopterin, produced by human monocytes/macrophages upon stimulation by interferon-γ, is a sensitive marker for monitoring Th1-cell immune response in humans. In malignant diseases, the frequency of increases in neopterin in the serum and urine of patients depends on tumor stage and type. Methods: In a retrospective study comprising 129 females with breast cancer, urinary neopterin/creatinine ratios were measured at the time of diagnosis. Tumor characteristics were determined concomitantly. Results: Urinary neopterin was increased in 18% of the patients. It did not correlate with tumor size or lymph node status, but it was influenced by the presence of distant metastases (P <0.05) and by tumor differentiation (P = 0.01). When product-limit estimates were calculated after follow-up for up to 13 years (median follow-up, 56 months), the presence of distant metastases (P <0.001), neopterin (P <0.001), tumor size (P = 0.001), and lymph node status (P <0.01) were significant predictors of survival. By multivariate analysis, a combination of the variables presence of distant metastases (P <0.001), neopterin (P <0.01), and lymph node status (P <0.05) was found to jointly predict survival. In lymph node-negative patients without distant metastases, the relative risk of death associated with increased neopterin concentrations was 2.5 compared with patients with neopterin concentrations within the reference interval. Conclusion: Urinary neopterin provides additional prognostic information in patients with breast cancer.

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