Mena[superscript calc], a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast cancer
Background Mena[superscript 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[superscript calc] an...
| Main Authors: | , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
BioMed Central
2015
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| Online Access: | http://hdl.handle.net/1721.1/97568 https://orcid.org/0000-0003-3214-4554 |
| _version_ | 1826201676123471872 |
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| author | Forse, Catherine L. Agarwal, Seema Pinnaduwage, Dushanthi Gertler, Frank Condeelis, John S. Lin, Juan Xue, Xiaonan Johung, Kimberly Mulligan, Anna Marie Rohan, Thomas E. Bull, Shelley B. Forse, Catherine L. Condeelis, John S. Mulligan, Anna Marie Rohan, Thomas E. Bull, Shelley B. Andrulis, Irene L. |
| author2 | Massachusetts Institute of Technology. Department of Biology |
| author_facet | Massachusetts Institute of Technology. Department of Biology Forse, Catherine L. Agarwal, Seema Pinnaduwage, Dushanthi Gertler, Frank Condeelis, John S. Lin, Juan Xue, Xiaonan Johung, Kimberly Mulligan, Anna Marie Rohan, Thomas E. Bull, Shelley B. Forse, Catherine L. Condeelis, John S. Mulligan, Anna Marie Rohan, Thomas E. Bull, Shelley B. Andrulis, Irene L. |
| author_sort | Forse, Catherine L. |
| collection | MIT |
| description | Background
Mena[superscript 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[superscript calc] and risk of death from breast cancer. Our goal was to determine if Mena[superscript calc] could be used as an independent prognostic marker for axillary node-negative (ANN) breast cancer.
Methods
Analysis of the association of Mena[superscript 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[superscript calc] with risk of death after adjustment for HER2 status and clinicopathological tumor features.
Results
High Mena[superscript 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[superscript 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[superscript calc] in the HER2, basal and luminal molecular subtypes.
Conclusions
Mena[superscript calc] may serve as an independent prognostic biomarker for the ANN breast cancer patient population. |
| first_indexed | 2024-09-23T11:55:20Z |
| format | Article |
| id | mit-1721.1/97568 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:55:20Z |
| publishDate | 2015 |
| publisher | BioMed Central |
| record_format | dspace |
| spelling | mit-1721.1/975682022-09-27T22:49:34Z Mena[superscript calc], a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast cancer Forse, Catherine L. Agarwal, Seema Pinnaduwage, Dushanthi Gertler, Frank Condeelis, John S. Lin, Juan Xue, Xiaonan Johung, Kimberly Mulligan, Anna Marie Rohan, Thomas E. Bull, Shelley B. Forse, Catherine L. Condeelis, John S. Mulligan, Anna Marie Rohan, Thomas E. Bull, Shelley B. Andrulis, Irene L. Massachusetts Institute of Technology. Department of Biology Koch Institute for Integrative Cancer Research at MIT Gertler, Frank Background Mena[superscript 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[superscript calc] and risk of death from breast cancer. Our goal was to determine if Mena[superscript calc] could be used as an independent prognostic marker for axillary node-negative (ANN) breast cancer. Methods Analysis of the association of Mena[superscript 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[superscript calc] with risk of death after adjustment for HER2 status and clinicopathological tumor features. Results High Mena[superscript 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[superscript 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[superscript calc] in the HER2, basal and luminal molecular subtypes. Conclusions Mena[superscript calc] may serve as an independent prognostic biomarker for the ANN breast cancer patient population. 2015-06-29T18:25:07Z 2015-06-29T18:25:07Z 2015-06 2015-03 2015-06-29T08:40:48Z Article http://purl.org/eprint/type/JournalArticle 1471-2407 http://hdl.handle.net/1721.1/97568 Forse, Catherine L., Seema Agarwal, Dushanthi Pinnaduwage, Frank Gertler, John S. Condeelis, Juan Lin, Xiaonan Xue, et al. “Mena[superscript calc], a Quantitative Method of Metastasis Assessment, as a Prognostic Marker for Axillary Node-Negative Breast Cancer.” BMC Cancer 15, no. 1 (December 2015). https://orcid.org/0000-0003-3214-4554 en http://dx.doi.org/10.1186/s12885-015-1468-6 BMC Cancer Forse et al. application/pdf BioMed Central |
| spellingShingle | Forse, Catherine L. Agarwal, Seema Pinnaduwage, Dushanthi Gertler, Frank Condeelis, John S. Lin, Juan Xue, Xiaonan Johung, Kimberly Mulligan, Anna Marie Rohan, Thomas E. Bull, Shelley B. Forse, Catherine L. Condeelis, John S. Mulligan, Anna Marie Rohan, Thomas E. Bull, Shelley B. Andrulis, Irene L. Mena[superscript calc], a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast cancer |
| title | Mena[superscript calc], a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast cancer |
| title_full | Mena[superscript calc], a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast cancer |
| title_fullStr | Mena[superscript calc], a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast cancer |
| title_full_unstemmed | Mena[superscript calc], a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast cancer |
| title_short | Mena[superscript calc], a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast cancer |
| title_sort | mena superscript calc a quantitative method of metastasis assessment as a prognostic marker for axillary node negative breast cancer |
| url | http://hdl.handle.net/1721.1/97568 https://orcid.org/0000-0003-3214-4554 |
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