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dc.contributor.authorForse, Catherine L.
dc.contributor.authorAgarwal, Seema
dc.contributor.authorPinnaduwage, Dushanthi
dc.contributor.authorGertler, Frank
dc.contributor.authorCondeelis, John S.
dc.contributor.authorLin, Juan
dc.contributor.authorXue, Xiaonan
dc.contributor.authorJohung, Kimberly
dc.contributor.authorMulligan, Anna Marie
dc.contributor.authorRohan, Thomas E.
dc.contributor.authorBull, Shelley B.
dc.contributor.authorForse, Catherine L.
dc.contributor.authorCondeelis, John S.
dc.contributor.authorMulligan, Anna Marie
dc.contributor.authorRohan, Thomas E.
dc.contributor.authorBull, Shelley B.
dc.contributor.authorAndrulis, Irene L.
dc.date.accessioned2015-06-29T18:25:07Z
dc.date.available2015-06-29T18:25:07Z
dc.date.issued2015-06
dc.date.submitted2015-03
dc.identifier.issn1471-2407
dc.identifier.urihttp://hdl.handle.net/1721.1/97568
dc.description.abstractBackground 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.en_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s12885-015-1468-6en_US
dc.titleMena[superscript calc], a quantitative method of metastasis assessment, as a prognostic marker for axillary node-negative breast canceren_US
dc.typeArticleen_US
dc.identifier.citationForse, 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).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorGertler, Franken_US
dc.relation.journalBMC Canceren_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2015-06-29T08:40:48Z
dc.language.rfc3066en
dc.rights.holderForse et al.
dspace.orderedauthorsForse, 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.; Andrulis, Irene L.en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3214-4554
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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