Skip to main content
Top
Published in: Breast Cancer Research and Treatment 1/2013

01-11-2013 | Epidemiology

Do alternative methods of measuring tumor size, including consideration of multicentric/multifocal disease, enhance prognostic information beyond TNM staging in women with early stage breast cancer: an analysis of the NCIC CTG MA.5 and MA.12 clinical trials

Authors: J. F. Hilton, N. Bouganim, B. Dong, J. W. Chapman, A. Arnaout, F. O’Malley, K. A. Gelmon, R. Yerushalmi, M. N. Levine, V. H. C. Bramwell, T. J. Whelan, K. I. Pritchard, L. E. Shepherd, M. Clemons

Published in: Breast Cancer Research and Treatment | Issue 1/2013

Login to get access

Abstract

The AJCC staging criteria consider tumor size to be the largest dimension of largest tumor. Some case series suggest using summation of all tumor dimensions in patients with multicentric/multifocal (MC/MF) disease. We used data from NCIC CTG MA.5 and MA.12 clinical trials to examine alternative methods of assessing tumor size on breast-cancer-free-interval (BCFI). The 710 MA.5 pre-/peri-menopausal node positive and 672 MA.12 pre-menopausal node-negative/-positive patients have 10-year median follow-up. All patients received adjuvant chemotherapy. Tumors were centrally reviewed for grade, hormone receptor, and HER2 status. Continuous pathologic tumor size was: (1) largest dimension of largest tumor (cm); (2) tumor area (cm2); (3) volume of tumor (cm3); (4) with MC/MF disease, summation of (1)–(3) for up to 3 foci. We examined univariate and multivariate effects of tumor size on BCFI utilizing (un)stratified Cox regression and the Wald test statistic. In univariate analysis, larger tumor dimension was significantly associated with worse BFCI in node positive patients: p < 0.0001 for MA.5; p = 0.01 for MA.12. In MA.5 multivariate analysis, larger summation of largest tumor dimensions was associated with worse BCFI (p = 0.0003), while larger single dimension was associated with worse BCFI (p = 0.02) for MA.12. Presence of MC/MF and other tumor size measurements were not associated (p > 0.05) with BFCI. While physicians could consider the largest diameter of the largest focus of disease or the sum of the largest diameters of all foci in their T-stage determination, it appears that the current method of T-staging offers equivalent determinations of prognosis.
Literature
1.
go back to reference (2010) Part VII—Breast. In: Edge SB, Byrd DR, Compton CC, Fritz AG, Greene FL, Trotti A, (eds) American Joint Committee on Cancer: Cancer Staging Manual, 7th edn. Springer, New York, p 347–377 (2010) Part VII—Breast. In: Edge SB, Byrd DR, Compton CC, Fritz AG, Greene FL, Trotti A, (eds) American Joint Committee on Cancer: Cancer Staging Manual, 7th edn. Springer, New York, p 347–377
2.
go back to reference Holland R, Veling SH, Mravunac M, Hendriks JH (1985) Histologic multifocality of tis, T1-2 breast carcinomas. Implications for clinical trials of breast-conserving surgery. Cancer 56:979–990PubMedCrossRef Holland R, Veling SH, Mravunac M, Hendriks JH (1985) Histologic multifocality of tis, T1-2 breast carcinomas. Implications for clinical trials of breast-conserving surgery. Cancer 56:979–990PubMedCrossRef
3.
go back to reference Fish EB, Chapman JA, Link MA (1998) Assessment of tumor size for multifocal primary breast cancer. Ann Surg Oncol 5:442–446PubMedCrossRef Fish EB, Chapman JA, Link MA (1998) Assessment of tumor size for multifocal primary breast cancer. Ann Surg Oncol 5:442–446PubMedCrossRef
4.
go back to reference Joergensen LE, Gunnarsdottir KA, Lanng C, Moeller S, Rasmussen BB (2008) Multifocality as a prognostic factor in breast cancer patients registered in Danish Breast Cancer Cooperative Group (DBCG) 1996–2001. Breast 17:587–591PubMedCrossRef Joergensen LE, Gunnarsdottir KA, Lanng C, Moeller S, Rasmussen BB (2008) Multifocality as a prognostic factor in breast cancer patients registered in Danish Breast Cancer Cooperative Group (DBCG) 1996–2001. Breast 17:587–591PubMedCrossRef
5.
go back to reference Tot T, Gere M, Pekár G et al (2011) Breast cancer multifocality, disease extent, and survival. Hum Pathol 42:1761–1769PubMedCrossRef Tot T, Gere M, Pekár G et al (2011) Breast cancer multifocality, disease extent, and survival. Hum Pathol 42:1761–1769PubMedCrossRef
6.
go back to reference Yerushalmi R, Kennecke H, Woods R, Olivotto IA, Speers C, Gelmon KA (2009) Does multicentric/multifocal breast cancer differ from unifocal breast cancer? An analysis of survival and contralateral breast cancer incidence. Breast Cancer Res Treat 117:365–370PubMedCrossRef Yerushalmi R, Kennecke H, Woods R, Olivotto IA, Speers C, Gelmon KA (2009) Does multicentric/multifocal breast cancer differ from unifocal breast cancer? An analysis of survival and contralateral breast cancer incidence. Breast Cancer Res Treat 117:365–370PubMedCrossRef
7.
go back to reference Weissenbacher TM, Zschage M, Janni W et al (2010) Multicentric and multifocal versus unifocal breast cancer: is the tumor-node-metastasis classification justified? Breast Cancer Res Treat 122:27–34PubMedCrossRef Weissenbacher TM, Zschage M, Janni W et al (2010) Multicentric and multifocal versus unifocal breast cancer: is the tumor-node-metastasis classification justified? Breast Cancer Res Treat 122:27–34PubMedCrossRef
8.
go back to reference Levine MN, Pritchard KI, Bramwell VH et al (2005) Randomized trial comparing cyclophosphamide, epirubicin, and fluorouracil with cyclophosphamide, methotrexate, and fluorouracil in premenopausal women with node-positive breast cancer: update of National Cancer Institute of Canada Clinical Trials Group Trial MA5. J Clin Oncol 23:5166–5170PubMedCrossRef Levine MN, Pritchard KI, Bramwell VH et al (2005) Randomized trial comparing cyclophosphamide, epirubicin, and fluorouracil with cyclophosphamide, methotrexate, and fluorouracil in premenopausal women with node-positive breast cancer: update of National Cancer Institute of Canada Clinical Trials Group Trial MA5. J Clin Oncol 23:5166–5170PubMedCrossRef
9.
go back to reference O’Malley FP, Chia S, Tu D et al (2009) Topoisomerase II alpha and responsiveness of breast cancer to adjuvant chemotherapy. J Natl Cancer Inst 101:644–650PubMedCrossRef O’Malley FP, Chia S, Tu D et al (2009) Topoisomerase II alpha and responsiveness of breast cancer to adjuvant chemotherapy. J Natl Cancer Inst 101:644–650PubMedCrossRef
10.
go back to reference O’Malley FP, Chia S, Tu D et al (2011) Topoisomerase II alpha protein and responsiveness of breast cancer to adjuvant chemotherapy with CEF compared to CMF in the NCIC CTG randomized MA.5 adjuvant trial. Breast Cancer Res Treat 128:401–409PubMedCrossRef O’Malley FP, Chia S, Tu D et al (2011) Topoisomerase II alpha protein and responsiveness of breast cancer to adjuvant chemotherapy with CEF compared to CMF in the NCIC CTG randomized MA.5 adjuvant trial. Breast Cancer Res Treat 128:401–409PubMedCrossRef
11.
go back to reference Pritchard KI, Munro A, O’Malley FP et al (2012) Chromosome 17 centromere (CEP17) duplication as a predictor of anthracycline response: evidence from the NCIC Clinical Trials Group (NCIC CTG) MA.5 Trial. Breast Cancer Res Treat 131:541–551PubMedCrossRef Pritchard KI, Munro A, O’Malley FP et al (2012) Chromosome 17 centromere (CEP17) duplication as a predictor of anthracycline response: evidence from the NCIC Clinical Trials Group (NCIC CTG) MA.5 Trial. Breast Cancer Res Treat 131:541–551PubMedCrossRef
12.
go back to reference Hertel PB, Tu D, Ejlertsen B et al (2012) TIMP-1 in combination with HER2 and TOP2A for prediction of benefit from adjuvant anthracyclines in high-risk breast cancer patients. Breast Cancer Res Treat 132:225–234PubMedCrossRef Hertel PB, Tu D, Ejlertsen B et al (2012) TIMP-1 in combination with HER2 and TOP2A for prediction of benefit from adjuvant anthracyclines in high-risk breast cancer patients. Breast Cancer Res Treat 132:225–234PubMedCrossRef
13.
go back to reference Pritchard KI, Shepherd LE, O’Malley FP et al (2006) HER2 and responsiveness of breast cancer to adjuvant chemotherapy. N Engl J Med 354:2103–2111PubMedCrossRef Pritchard KI, Shepherd LE, O’Malley FP et al (2006) HER2 and responsiveness of breast cancer to adjuvant chemotherapy. N Engl J Med 354:2103–2111PubMedCrossRef
14.
go back to reference Cheang MC, Voduc KD, Tu D et al (2012) Responsiveness of intrinsic subtypes to adjuvant anthracycline substitution in the NCIC.CTG MA.5 randomized trial. Clin Cancer Res 18:2402–2412PubMedCrossRef Cheang MC, Voduc KD, Tu D et al (2012) Responsiveness of intrinsic subtypes to adjuvant anthracycline substitution in the NCIC.CTG MA.5 randomized trial. Clin Cancer Res 18:2402–2412PubMedCrossRef
15.
go back to reference Bramwell VH, Pritchard KI, Tu D et al (2010) A randomized placebo-controlled study of tamoxifen after adjuvant chemotherapy in premenopausal women with early breast cancer (National Cancer Institute of Canada–Clinical Trials Group Trial, MA.12). Ann Oncol 21:283–290PubMedCrossRef Bramwell VH, Pritchard KI, Tu D et al (2010) A randomized placebo-controlled study of tamoxifen after adjuvant chemotherapy in premenopausal women with early breast cancer (National Cancer Institute of Canada–Clinical Trials Group Trial, MA.12). Ann Oncol 21:283–290PubMedCrossRef
16.
go back to reference Chia SK, Bramwell VH, Tu D et al (2012) A 50-gene intrinsic subtype classifier for prognosis and prediction of benefit from adjuvant tamoxifen. Clin Cancer Res 18:4465–4472PubMedCrossRef Chia SK, Bramwell VH, Tu D et al (2012) A 50-gene intrinsic subtype classifier for prognosis and prediction of benefit from adjuvant tamoxifen. Clin Cancer Res 18:4465–4472PubMedCrossRef
17.
go back to reference Yan Y, Li X, Blanchard A, Bramwell VH et al (2013) Expression of both estrogen receptor-beta 1 (ER-β1) and its co-regulator steroid receptor RNA activator protein (SRAP) are predictive for benefit from tamoxifen therapy in patients with estrogen receptor-alpha (ER-α)-negative early breast cancer (EBC). Ann Oncol 24:1986–1993PubMedCrossRef Yan Y, Li X, Blanchard A, Bramwell VH et al (2013) Expression of both estrogen receptor-beta 1 (ER-β1) and its co-regulator steroid receptor RNA activator protein (SRAP) are predictive for benefit from tamoxifen therapy in patients with estrogen receptor-alpha (ER-α)-negative early breast cancer (EBC). Ann Oncol 24:1986–1993PubMedCrossRef
18.
go back to reference Hudis CA, Barlow WE, Costantino JP et al (2007) Proposal for standardized definitions for efficacy end points in adjuvant breast cancer trials: the STEEP system. J Clin Oncol 25:2127–2132PubMedCrossRef Hudis CA, Barlow WE, Costantino JP et al (2007) Proposal for standardized definitions for efficacy end points in adjuvant breast cancer trials: the STEEP system. J Clin Oncol 25:2127–2132PubMedCrossRef
19.
go back to reference Goldhirsch A, Ingle JN, Gelber RD et al (2009) Thresholds for therapies: highlights of the St. Gallen International Expert Consensus on the primary therapy of early breast cancer 2009. Ann Oncol 20:1319–1329PubMedCrossRef Goldhirsch A, Ingle JN, Gelber RD et al (2009) Thresholds for therapies: highlights of the St. Gallen International Expert Consensus on the primary therapy of early breast cancer 2009. Ann Oncol 20:1319–1329PubMedCrossRef
20.
go back to reference Goldhirsch A, Wood WC, Coates AS et al (2011) Strategies for subtypes–dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol 22:1736–1747PubMedCrossRef Goldhirsch A, Wood WC, Coates AS et al (2011) Strategies for subtypes–dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol 22:1736–1747PubMedCrossRef
21.
go back to reference Paik S, Shak S, Tang G et al (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351:2817–2826PubMedCrossRef Paik S, Shak S, Tang G et al (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351:2817–2826PubMedCrossRef
22.
go back to reference Gutman DA, Cooper LA, Hwang SN et al (2013) MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. Radiology 267:560–569PubMedCrossRef Gutman DA, Cooper LA, Hwang SN et al (2013) MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. Radiology 267:560–569PubMedCrossRef
23.
go back to reference Clarke GM, Eidt S, Sun L, Mawdsley G, Zubovits JT, Yaffe MJ (2007) Whole-specimen histopathology: a method to produce whole-mount breast serial sections for 3-D digital histopathology imaging. Histopathology 50:232–242PubMedCrossRef Clarke GM, Eidt S, Sun L, Mawdsley G, Zubovits JT, Yaffe MJ (2007) Whole-specimen histopathology: a method to produce whole-mount breast serial sections for 3-D digital histopathology imaging. Histopathology 50:232–242PubMedCrossRef
Metadata
Title
Do alternative methods of measuring tumor size, including consideration of multicentric/multifocal disease, enhance prognostic information beyond TNM staging in women with early stage breast cancer: an analysis of the NCIC CTG MA.5 and MA.12 clinical trials
Authors
J. F. Hilton
N. Bouganim
B. Dong
J. W. Chapman
A. Arnaout
F. O’Malley
K. A. Gelmon
R. Yerushalmi
M. N. Levine
V. H. C. Bramwell
T. J. Whelan
K. I. Pritchard
L. E. Shepherd
M. Clemons
Publication date
01-11-2013
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 1/2013
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-013-2714-8

Other articles of this Issue 1/2013

Breast Cancer Research and Treatment 1/2013 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine