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. 2011 Jul 1;29(19):2619-27.
doi: 10.1200/JCO.2010.29.5907. Epub 2011 May 23.

Effect of very small tumor size on cancer-specific mortality in node-positive breast cancer

Affiliations

Effect of very small tumor size on cancer-specific mortality in node-positive breast cancer

Jennifer Y Wo et al. J Clin Oncol. .

Abstract

Purpose: Traditionally, larger tumor size and increasing lymph node (LN) involvement have been considered independent predictors of increased breast cancer-specific mortality (BCSM). We sought to characterize the interaction between tumor size and LN involvement in determination of BCSM. In particular, we evaluated whether very small tumor size may predict for increased BCSM relative to larger tumors in patients with extensive LN involvement.

Patients and methods: Using Surveillance, Epidemiology and End Results registry data, we identified 50,949 female patients diagnosed between 1990 and 2002 with nonmetastatic T1/T2 invasive breast cancer treated with surgery and axillary LN dissection. Primary study variables were tumor size, degree of LN involvement, and their corresponding interaction term. Kaplan-Meier methods, adjusted Cox proportional hazards models with interaction terms, and a linear trend test across nodal categories were performed.

Results: Median follow-up was 99 months. In multivariable analysis, there was significant interaction between tumor size and LN involvement (P < .001). Using T1aN0 as reference, T1aN2+ conferred significantly higher BCSM compared with T1bN2+ (hazard ratio [HR], 20.66 v 12.53; P = .02). A similar pattern was seen among estrogen receptor (ER) -negative patients with T1aN2+ compared with T1bN2+ (HR, 24.16 v 12.67; P = .03), but not ER-positive patients (P = .52). The effect of very small tumor size on BCSM was intermediate among N1 cancers, between that of N0 and N2+ cancers.

Conclusion: Very small tumors with four positive LNs may predict for higher BCSM compared with larger tumors. In extensive node-positive disease, very small tumor size may be a surrogate for biologically aggressive disease. These results should be validated in future database studies.

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Conflict of interest statement

Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.

Figures

Fig 1.
Fig 1.
(A, B, C) Kaplan-Meier curves for N0, N1, and N2+ patients stratified by categorical tumor size, respectively. (C) Demonstrates that among patients with four or more positive nodes, those with T1a tumors experienced significantly lower breast cancer–specific survival (BCSS) relative to patients with T1b tumors. The 8-year BCSS is lower among patients with T1aN2+ disease, compared with patients with T1bN2+ and T1cN2+ disease, respectively.
Fig 2.
Fig 2.
Relationship between continuous tumor size and 8-year breast cancer–specific mortality (BCSM) stratified by lymph node involvement status depicting the presence of effect modification: (A) N0 patients; (B) N1 patients; (C) N2+ patients. In contrast to (A), panels (B) and (C), which include N1 and N2 patients, respectively, reveal a pattern of decreasing 8-year BCSM with increasing tumor size at very small sizes until a threshold size is reached, at which point increasing tumor size and 8-year BCSM follow a monotonic relationship. The gray line represents the estimated 8-year BCSM, and the dashed blue lines represent the 95% confidence band.
Fig A1.
Fig A1.
Relationship between continuous tumor size and 8-year breast cancer–specific mortality (BCSM) for all node-positive patients. The gray line represents the estimated 8-year BCSM, and the dashed blue lines represent the 95% confidence band.

Comment in

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