Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis
Lymph node status remains one of the most useful prognostic indicators in breast cancer; however, current methods to assess nodal status disrupt the lymphatic system and may lead to secondary complications. Identification of molecular signatures discriminating lymph node-positive from lymph node-neg...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | International Journal of Breast Cancer |
| Online Access: | http://dx.doi.org/10.4061/2011/142763 |
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| _version_ | 1832567571656736768 |
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| author | Rachel E. Ellsworth Lori A. Field Brad Love Jennifer L. Kane Jeffrey A. Hooke Craig D. Shriver |
| author_facet | Rachel E. Ellsworth Lori A. Field Brad Love Jennifer L. Kane Jeffrey A. Hooke Craig D. Shriver |
| author_sort | Rachel E. Ellsworth |
| collection | DOAJ |
| description | Lymph node status remains one of the most useful prognostic indicators in breast cancer; however, current methods to assess nodal status disrupt the lymphatic system and may lead to secondary complications. Identification of molecular signatures discriminating lymph node-positive from lymph node-negative primary tumors would allow for stratification of patients requiring surgical assesment of lymph nodes. Primary breast tumors from women with negative (𝑛=41) and positive (𝑛=35) lymph node status matched for possible confounding factors were subjected to laser microdissection and gene expression data generated. Although ANOVA analysis (𝑃<.001, fold-change >1.5) revealed 13 differentially expressed genes, hierarchical clustering classified 90% of node-negative but only 66% of node-positive tumors correctly. The inability to derive molecular profiles of metastasis in primary tumors may reflect tumor heterogeneity, paucity of cells within the primary tumor with metastatic potential, influence of the microenvironment, or inherited host susceptibility to metastasis. |
| format | Article |
| id | doaj-art-28821128dbf243efa59b021c76820052 |
| institution | Kabale University |
| issn | 2090-3189 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Breast Cancer |
| spelling | doaj-art-28821128dbf243efa59b021c768200522025-02-03T01:01:11ZengWileyInternational Journal of Breast Cancer2090-31892011-01-01201110.4061/2011/142763142763Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node MetastasisRachel E. Ellsworth0Lori A. Field1Brad Love2Jennifer L. Kane3Jeffrey A. Hooke4Craig D. Shriver5Clinical Breast Care Project, Henry M. Jackson Foundation for the Advancement of Military Medicine, 620 Seventh Street, Windber, PA 15963, USAClinical Breast Care Project, Windber Research Institute, 620 Seventh Street, Windber, PA 15963, USABioReka, LLC, 211 Locknell Road, Timonium, MD 21093, USAClinical Breast Care Project, Windber Research Institute, 620 Seventh Street, Windber, PA 15963, USAClinical Breast Care Project, Walter Reed Army Medical Center, 6900 Georgia Avenue NW, Washington, DC 20307, USAClinical Breast Care Project, Walter Reed Army Medical Center, 6900 Georgia Avenue NW, Washington, DC 20307, USALymph node status remains one of the most useful prognostic indicators in breast cancer; however, current methods to assess nodal status disrupt the lymphatic system and may lead to secondary complications. Identification of molecular signatures discriminating lymph node-positive from lymph node-negative primary tumors would allow for stratification of patients requiring surgical assesment of lymph nodes. Primary breast tumors from women with negative (𝑛=41) and positive (𝑛=35) lymph node status matched for possible confounding factors were subjected to laser microdissection and gene expression data generated. Although ANOVA analysis (𝑃<.001, fold-change >1.5) revealed 13 differentially expressed genes, hierarchical clustering classified 90% of node-negative but only 66% of node-positive tumors correctly. The inability to derive molecular profiles of metastasis in primary tumors may reflect tumor heterogeneity, paucity of cells within the primary tumor with metastatic potential, influence of the microenvironment, or inherited host susceptibility to metastasis.http://dx.doi.org/10.4061/2011/142763 |
| spellingShingle | Rachel E. Ellsworth Lori A. Field Brad Love Jennifer L. Kane Jeffrey A. Hooke Craig D. Shriver Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis International Journal of Breast Cancer |
| title | Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis |
| title_full | Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis |
| title_fullStr | Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis |
| title_full_unstemmed | Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis |
| title_short | Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis |
| title_sort | differential gene expression in primary breast tumors associated with lymph node metastasis |
| url | http://dx.doi.org/10.4061/2011/142763 |
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