Differences in intra-tumoral macrophage infiltration and radiotherapy response among intrinsic subtypes in pT1-T2 breast cancers treated with breast-conserving surgery

Breast cancer (BC) intrinsic subtype classification is based on the expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and proliferation marker Ki-67. The expression of these markers depends on both the genetic background of the cancer cells and the surrounding tumor microenvironment. In this study, we explore macrophage traits in cancer cells and intra-tumoral M2-macrophage infiltration (MI) in relation to intrinsic subtypes in non-metastatic invasive BC treated with breast conserving surgery, with and without postoperative radiotherapy (RT). Immunostaining of M2-macrophage-specific antigen CD163 in cancer cells and MI were evaluated, together with ER, PR, HER2, and Ki-67-expression in cancer cells. The tumors were classified into intrinsic subtypes according to the ESMO guidelines. The immunostaining of these markers, MI, and clinical data were analyzed in relation to ipsilateral local recurrence (ILR) as well as recurrence-free (RFS) and disease-free specific (DFS) survival. BC intrinsic subtypes are associated with T-stage, Nottingham Histologic Grade (NHG), and MI. Macrophage phenotype in cancer cells is significantly associated with NHG3-tumors. Significant differences in macrophage infiltration were observed among the intrinsic subtypes of pT1-T2 stage BC. Shorter RFS was observed in luminal B HER2neg tumors after RT, suggesting that this phenotype may be more resistant to irradiation. Ki-67-expression was significantly higher in NHG3 and CD163-positive tumors, as well as those with moderate and high MI. Cancer cell ER expression is inversely related to MI and thus might affect the clinical staging and assessment of BC

Optimizing Dose and Timing in Magnetic Tracer Techniques for Sentinel Lymph Node Detection in Early Breast Cancers : The Prospective Multicenter SentiDose Trial

Superparamagnetic iron oxide nanoparticles (SPIO) are non-inferior to radioisotope and blue dye (RI + BD) for sentinel lymph node (SLN) detection. Previously, 2 mL SPIO (Sienna+®) in 3 mL NaCl was used. In this dose-optimizing study, lower doses of a new refined SPIO solution (Magtrace®) (1.5 vs. 1.0 mL) were tested in different timeframes (0-24 h perioperative vs. 1-7 days preoperative) and injections sites (subareolar vs. peritumoral). Two consecutive breast cancer cohorts (n = 328) scheduled for SLN-biopsy were included from 2017 to 2019. All patients received isotope ± blue dye as back-up. SLNs were identified primarily with the SentiMag® probe and thereafter a gamma-probe. The primary endpoint was SLN detection rate with SPIO. Analyses were performed as a one-step individual patient-level meta-analysis using patient-level data from the previously published Nordic Trial (n = 206) as a third, reference cohort. In 534 patients, the SPIO SLN detection rates were similar (97.5% vs. 100% vs. 97.6%, p = 0.11) and non-inferior to the dual technique. Significantly more SLNs were retrieved in the preoperative 1.0 mL cohort compared with 1.5 and the 2.0 mL cohorts (2.18 vs. 1.85 vs. 1.83, p = 0.003). Lower SPIO volumes injected up to 7 days before the operation have comparable efficacy to standard SPIO dose and RI + BD for SLN detection

Long-Term Prognostication for 20?114 Women With Small and Node-Negative Breast Cancer (T1abN0)

Background: Although small, node-negative breast cancer (ie, T1abN0) constitutes 20% of all newly diagnosed breast cancers,data on prognosis and prognostic factors are limited. Methods: We conducted a population-based cohort study including20 114 Swedish women treated for T1abN0 breast cancer from 1977 onward. Patient and tumor data were collected fromSwedish breast cancer registries. Cohort subjects were followed through linkage to the Cause of Death Register. We calculatedthe cumulative incidence of breast cancer–specific and overall death and used Cox regression to estimate hazard ratios (HRs)and 95% confidence intervals (CIs). Results: During a median follow-up of 9.1 years (range ¼ 0-38), 915 women died of breastcancer and 5416 of any cause. The 10-, 20-, and 30-year cumulative incidences of breast cancer death were 3.4% (95% CI ¼3.1% to 3.7%), 7.6% (95% CI ¼ 7.1% to 8.2%), and 10.5% (95% CI ¼ 9.6% to 11.4%), respectively. The multivariable hazard ratiosand 95% confidence intervals of breast cancer death were 0.92 (95% CI ¼ 0.88 to 0.97) for each additional calendar year of diagnosis, 4.38 (95% CI ¼ 2.79 to 6.87) for grade 3 vs grade 1 tumors, 0.43 (95% CI ¼ 0.31 to 0.62) for progesterone receptor–positivevs progesterone receptor–negative disease, and 2.01 (95% CI ¼ 0.99 to 4.07) for HER2-positive vs HER2-negative disease.Women with grade 3 vs grade 1 tumors had a 56% increased risk of death from any cause (HR ¼ 1.56, 95% CI ¼ 1.30 to 1.88). Conclusions: The risk of breast cancer death in T1abN0 disease continues to increase steadily beyond 10 years afterdiagnosis, has improved over time, and varies substantially by tumor characteristics.Funding agencies: Swedish Breast Cancer Association; Swedish Society of Medicine (SLS-502451).</p