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  • 1.
    Jaraj, David
    et al.
    Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; Department of Surgery, Capio St Görans Hospital, Stockholm, Sweden.
    Höijer, Jonas
    Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
    Widman, Linnea
    Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
    Ahlgren, Johan
    Department of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; Regional Cancer Centre, Uppsala Örebro Health Care Region, Uppsala, Sweden.
    Arnesson, Lars-Gunnar
    Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Surgery in Linköping. Linköping University, Department of Biomedical and Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Einbeigi, Zakaria
    Department of Medicine, Southern Älvsborg Hospital, Borås, Sweden; Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, Sahlgrenska University Hospital, Gothenburg, Sweden.
    Klintman, Marie
    Department of Oncology and Radiation Physics, Skåne University Hospital, Lund University, Lund, Sweden.
    Vikhe Patil, Eva
    Linköping University, Department of Biomedical and Clinical Sciences, Division of Surgery, Orthopedics and Oncology. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Surgery in Linköping.
    Sund, Malin
    Department of Surgical and Perioperative Sciences/Surgery, Umeå University, Umeå, Sweden.
    Fredriksson, Irma
    Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Breast, Endocrine and Sarcoma Surgery, Karolinska University Hospital, Stockholm, Sweden.
    Bergh, Jonas
    Department of Breast, Endocrine and Sarcoma Surgery, Karolinska University Hospital, Stockholm, Sweden; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; Department of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
    Andreas, Pettersson
    Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.
    Long-Term Prognostication for 20?114 Women With Small and Node-Negative Breast Cancer (T1abN0)2021In: JNCI cancer spectrum, ISSN 2515-5091, Vol. 5, no 1Article in journal (Refereed)
    Abstract [en]

    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.

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  • 2.
    Hersi, Abdi-Fatah
    et al.
    Uppsala Univ, Sweden; Vastmanlands Hosp, Sweden.
    Pistiolis, Lida
    Univ Gothenburg, Sweden.
    Luberth, Carlos Dussan
    Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Surgery in Linköping.
    Vikhe Patil, Eva
    Linköping University, Department of Biomedical and Clinical Sciences, Division of Surgery, Orthopedics and Oncology. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Surgery in Linköping.
    Nilsson, Fredrik
    Umea Univ Hosp, Sweden.
    Mohammed, Imad
    Kalmar Cty Hosp, Sweden.
    Bagge, Roger Olofsson
    Univ Gothenburg, Sweden.
    Warnberg, Fredrik
    Univ Gothenburg, Sweden; Uppsala Univ, Sweden.
    Eriksson, Staffan
    Uppsala Univ, Sweden; Vastmanlands Hosp, Sweden.
    Karakatsanis, Andreas
    Uppsala Univ, Sweden.
    Optimizing Dose and Timing in Magnetic Tracer Techniques for Sentinel Lymph Node Detection in Early Breast Cancers: The Prospective Multicenter SentiDose Trial2021In: Cancers, ISSN 2072-6694, Vol. 13, no 4, article id 693Article in journal (Refereed)
    Abstract [en]

    Simple Summary Superparamagnetic iron oxide (SPIO) nanoparticles have comparable performance to the combination of radioisotope and blue dye (RI + BD) for sentinel lymph node (SLN) biopsy in breast cancer. In this multicenter prospective study, lower SPIO doses (undiluted 1.5 vs. 1.0 mL) in different timeframes (perioperative vs. 1-7 days preoperative) and injection sites (subareolar vs. peritumoral) were compared to the previous standard (diluted 2.0 mL perioperatively) from the earlier Nordic trial. RI + BD were co-administered as background. In total, 534 patients were analyzed. SPIO SLN detection rates were similar (97.5% vs. 100% vs. 97.6%, p = 0.11) and respectively non-inferior to the dual technique. Significantly more SLNs were retrieved in the preoperative 1.0 mL cohort compared with 1.5 mL and the Nordic cohorts (2.18 vs. 1.85 vs. 1.83, p = 0.003). Thus, SPIO at 1.5 and 1.0 mL was non-inferior to both Sienna+(R) and the dual technique for SLN detection. 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+(R)) in 3 mL NaCl was used. In this dose-optimizing study, lower doses of a new refined SPIO solution (Magtrace(R)) (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(R) 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.

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  • 3.
    Garvin, Stina
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Divison of Neurobiology. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Clinical pathology.
    Vikhe Patil, Eva
    Linköping University, Department of Clinical and Experimental Medicine, Division of Surgery, Orthopedics and Oncology. Linköping University, Faculty of Medicine and Health Sciences.
    Arnesson, Lars-Gunnar
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Surgery in Linköping.
    Oda, Husam
    Umea Univ, Sweden.
    Hedayati, Elham
    Karolinska Inst, Sweden; Karolinska Univ Hosp, Sweden.
    Lindström, Annelie
    Linköping University, Department of Clinical and Experimental Medicine, Division of Cell Biology. Linköping University, Faculty of Medicine and Health Sciences.
    Shabo, Ivan
    Karolinska Univ Hosp, Sweden; Karolinska Inst, Sweden.
    Differences in intra-tumoral macrophage infiltration and radiotherapy response among intrinsic subtypes in pT1-T2 breast cancers treated with breast-conserving surgery2019In: Virchows Archiv, ISSN 0945-6317, E-ISSN 1432-2307, Vol. 475, no 2, p. 151-162Article in journal (Refereed)
    Abstract [en]

    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.

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