Basal breast cancer molecular subtype predicts for lower incidence of axillary lymph node metastases in primary breast cancer
Basal breast cancer molecular subtype predicts for lower incidence of axillary lymph node metastases in primary breast cancer
Background: Axillary lymph node involvement remains the most important prognostic factor in early-stage breast cancer. We hypothesized that molecular classification based on breast cancer biology would predict the presence of nodal involvement at diagnosis, which might aid treatment decisions regarding the axilla. Patients and Methods: From a clinically annotated tissue microarray of 4444 early-stage breast cancers, expression of estrogen receptor (ER), progesterone receptor (PgR), HER2, epidermal growth factor receptor, and cytokeratin 5/6 was determined by immunohistochemistry. Cases were classified by published criteria into molecular subtypes of luminal, luminal/HER2 positive, HER2 positive/ER negative/PgR negative, and basal. Risk of axillary nodal involvement at diagnosis was determined in 2 multivariable logistic regression models: a "core biopsy model" including molecular subtype, age, grade, and tumor size and a "lumpectomy model," which also included lymphovascular invasion. Luminal was used as the reference group. After internal validation of findings in 2 independent sets, we conducted combined analysis of both. Results: In the core biopsy model, the molecular subtypes had a predictive effect for nodal involvement (P = .000001), with the basal subtype having an odds ratio for axillary lymph node involvement of 0.53 (95% CI, 0.41-0.69). Tumor grade (P = 5.43 × 10–12) and size (P = 8.52 × 10–35) were also predictive for nodal involvement. Similar results were found in the lumpectomy model, where lymphovascular invasion was also predictive (P = 2.74 × 10–115). Conclusion: These results indicate that the basal breast cancer molecular subtype predicts a lower incidence of axillary nodal involvement, and including biomarker profiles to predict nodal status at diagnosis could help stratification for decisions regarding axillary surgery and locoregional radiation.
249-256
Crabb, S.J.
bcd1b566-7677-4f81-8429-3ab0e85f8373
Cheang, M.C.
34145817-ca77-46f1-b926-682fc3d7b981
Leung, S
12f0053d-d3ba-43ee-848f-fe14046c7c7e
Immonen, T
6987ee69-5492-441b-bcf5-a28183b84ec2
Nielsen, T.O.
10ffcd99-0fc8-443a-a9cb-6a63057aa282
Huntsman, D.D.
d5df064c-a948-4eb1-87a7-464525c668d9
Bajdik, C.D.
ab0323c2-2aa9-4c02-9784-3e49c84da19b
Chia, S.K.
5d319a37-949d-4035-810d-424f6bf1262c
2008
Crabb, S.J.
bcd1b566-7677-4f81-8429-3ab0e85f8373
Cheang, M.C.
34145817-ca77-46f1-b926-682fc3d7b981
Leung, S
12f0053d-d3ba-43ee-848f-fe14046c7c7e
Immonen, T
6987ee69-5492-441b-bcf5-a28183b84ec2
Nielsen, T.O.
10ffcd99-0fc8-443a-a9cb-6a63057aa282
Huntsman, D.D.
d5df064c-a948-4eb1-87a7-464525c668d9
Bajdik, C.D.
ab0323c2-2aa9-4c02-9784-3e49c84da19b
Chia, S.K.
5d319a37-949d-4035-810d-424f6bf1262c
Crabb, S.J., Cheang, M.C., Leung, S, Immonen, T, Nielsen, T.O., Huntsman, D.D., Bajdik, C.D. and Chia, S.K.
(2008)
Basal breast cancer molecular subtype predicts for lower incidence of axillary lymph node metastases in primary breast cancer.
Clinical Breast Cancer, 8 (3), .
(doi:10.3816/CBC.2008.n.028).
Abstract
Background: Axillary lymph node involvement remains the most important prognostic factor in early-stage breast cancer. We hypothesized that molecular classification based on breast cancer biology would predict the presence of nodal involvement at diagnosis, which might aid treatment decisions regarding the axilla. Patients and Methods: From a clinically annotated tissue microarray of 4444 early-stage breast cancers, expression of estrogen receptor (ER), progesterone receptor (PgR), HER2, epidermal growth factor receptor, and cytokeratin 5/6 was determined by immunohistochemistry. Cases were classified by published criteria into molecular subtypes of luminal, luminal/HER2 positive, HER2 positive/ER negative/PgR negative, and basal. Risk of axillary nodal involvement at diagnosis was determined in 2 multivariable logistic regression models: a "core biopsy model" including molecular subtype, age, grade, and tumor size and a "lumpectomy model," which also included lymphovascular invasion. Luminal was used as the reference group. After internal validation of findings in 2 independent sets, we conducted combined analysis of both. Results: In the core biopsy model, the molecular subtypes had a predictive effect for nodal involvement (P = .000001), with the basal subtype having an odds ratio for axillary lymph node involvement of 0.53 (95% CI, 0.41-0.69). Tumor grade (P = 5.43 × 10–12) and size (P = 8.52 × 10–35) were also predictive for nodal involvement. Similar results were found in the lumpectomy model, where lymphovascular invasion was also predictive (P = 2.74 × 10–115). Conclusion: These results indicate that the basal breast cancer molecular subtype predicts a lower incidence of axillary nodal involvement, and including biomarker profiles to predict nodal status at diagnosis could help stratification for decisions regarding axillary surgery and locoregional radiation.
This record has no associated files available for download.
More information
Published date: 2008
Identifiers
Local EPrints ID: 73171
URI: http://eprints.soton.ac.uk/id/eprint/73171
ISSN: 1526-8209
PURE UUID: 67df13e0-7897-4241-9914-4af2394f990e
Catalogue record
Date deposited: 03 Mar 2010
Last modified: 14 Mar 2024 02:48
Export record
Altmetrics
Contributors
Author:
M.C. Cheang
Author:
S Leung
Author:
T Immonen
Author:
T.O. Nielsen
Author:
D.D. Huntsman
Author:
C.D. Bajdik
Author:
S.K. Chia
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics