Title |
Menacalc, a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast cancer
|
---|---|
Published in |
BMC Cancer, June 2015
|
DOI | 10.1186/s12885-015-1468-6 |
Pubmed ID | |
Authors |
Catherine L. Forse, Seema Agarwal, Dushanthi Pinnaduwage, Frank Gertler, John S. Condeelis, Juan Lin, Xiaonan Xue, Kimberly Johung, Anna Marie Mulligan, Thomas E. Rohan, Shelley B. Bull, Irene L. Andrulis |
Abstract |
Mena(calc) is an immunofluorescence-based, quantitative method in which expression of the non-invasive Mena protein isoform (Mena11a) is subtracted from total Mena protein expression. Previous work has found a significant positive association between Mena(calc) and risk of death from breast cancer. Our goal was to determine if Mena(calc) could be used as an independent prognostic marker for axillary node-negative (ANN) breast cancer. Analysis of the association of Mena(calc) with overall survival (death from any cause) was performed for 403 ANN tumors using Kaplan Meier survival curves and the univariate Cox proportional hazards (PH) model with the log-rank or the likelihood ratio test. Cox PH models were used to estimate hazard ratios (HRs) for the association of Mena(calc) with risk of death after adjustment for HER2 status and clinicopathological tumor features. High Mena(calc) was associated with increased risk of death from any cause (P = 0.0199, HR (CI) = 2.18 (1.19, 4.00)). A similarly elevated risk of death was found in the subset of the Mena(calc) cohort which did not receive hormone or chemotherapy (n = 142) (P = 0.0052, HR (CI) = 3.80 (1.58, 9.97)). There was a trend toward increased risk of death with relatively high Mena(calc) in the HER2, basal and luminal molecular subtypes. Mena(calc) may serve as an independent prognostic biomarker for the ANN breast cancer patient population. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 24% |
Student > Master | 6 | 16% |
Student > Bachelor | 4 | 11% |
Student > Postgraduate | 3 | 8% |
Lecturer | 2 | 5% |
Other | 6 | 16% |
Unknown | 8 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 32% |
Medicine and Dentistry | 7 | 18% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Social Sciences | 2 | 5% |
Business, Management and Accounting | 1 | 3% |
Other | 5 | 13% |
Unknown | 9 | 24% |