@article{WischnewskySchwentnerDiessneretal.2021,
  author    = {Wischnewsky, Manfred and Schwentner, Lukas and Diessner, Joachim and De Gregorio, Amelie and Joukhadar, Ralf and Davut, Dayan and Salmen, Jessica and Bekes, Inga and Kiesel, Matthias and M{\"u}ller-Reiter, Max and Blettner, Maria and Wolters, Regine and Janni, Wolfgang and Kreienberg, Rolf and W{\"o}ckel, Achim and Ebner, Florian},
  title     = {BRENDA-Score, a hghly significant, internally and externally validated prognostic marker for metastatic recurrence: analysis of 10,449 primary breast cancer patients},
  series = {Cancers},
  volume    = {13},
  journal   = {Cancers},
  number    = {13},
  issn      = {2072-6694},
  doi       = {10.3390/cancers13133121},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-241064},
  year      = {2021},
  abstract  = {Background Current research in breast cancer focuses on individualization of local and systemic therapies with adequate escalation or de-escalation strategies. As a result, about two-thirds of breast cancer patients can be cured, but up to one-third eventually develop metastatic disease, which is considered incurable with currently available treatment options. This underscores the importance to develop a metastatic recurrence score to escalate or de-escalate treatment strategies. Patients and methods Data from 10,499 patients were available from 17 clinical cancer registries (BRENDA-project. In total, 8566 were used to develop the BRENDA-Index. This index was calculated from the regression coefficients of a Cox regression model for metastasis-free survival (MFS). Based on this index, patients were categorized into very high, high, intermediate, low, and very low risk groups forming the BRENDA-Score. Bootstrapping was used for internal validation and an independent dataset of 1883 patients for external validation. The predictive accuracy was checked by Harrell's c-index. In addition, the BRENDA-Score was analyzed as a marker for overall survival (OS) and compared to the Nottingham prognostic score (NPS). Results: Intrinsic subtypes, tumour size, grading, and nodal status were identified as statistically significant prognostic factors in the multivariate analysis. The five prognostic groups of the BRENDA-Score showed highly significant (p < 0.001) differences regarding MFS:low risk: hazard ratio (HR) = 2.4, 95\%CI (1.7-3.3); intermediate risk: HR = 5.0, 95\%CI.(3.6-6.9); high risk: HR = 10.3, 95\%CI (7.4-14.3) and very high risk: HR = 18.1, 95\%CI (13.2-24.9). The external validation showed congruent results. A multivariate Cox regression model for OS with BRENDA-Score and NPS as covariates showed that of these two scores only the BRENDA-Score is significant (BRENDA-Score p < 0.001; NPS p = 0.447). Therefore, the BRENDA-Score is also a good prognostic marker for OS. Conclusion: The BRENDA-Score is an internally and externally validated robust predictive tool for metastatic recurrence in breast cancer patients. It is based on routine parameters easily accessible in daily clinical care. In addition, the BRENDA-Score is a good prognostic marker for overall survival. Highlights: The BRENDA-Score is a highly significant predictive tool for metastatic recurrence of breast cancer patients. The BRENDA-Score is stable for at least the first five years after primary diagnosis, i.e., the sensitivities and specificities of this predicting system is rather similar to the NPI with AUCs between 0.76 and 0.81 the BRENDA-Score is a good prognostic marker for overall survival.},
  language  = {en}
}
@article{BaeuerleinQureischiMokhtarietal.2021,
  author    = {B{\"a}uerlein, Carina A. and Qureischi, Musga and Mokhtari, Zeinab and Tabares, Paula and Brede, Christian and Jord{\´a}n Garrote, Ana-Laura and Riedel, Simone S. and Chopra, Martin and Reu, Simone and Mottok, Anja and Arellano-Viera, Estibaliz and Graf, Carolin and Kurzwart, Miriam and Schmiedgen, Katharina and Einsele, Hermann and W{\"o}lfl, Matthias and Schlegel, Paul-Gerhardt and Beilhack, Andreas},
  title     = {A T-Cell Surface Marker Panel Predicts Murine Acute Graft-Versus-Host Disease},
  series = {Frontiers in Immunology},
  volume    = {11},
  journal   = {Frontiers in Immunology},
  issn      = {1664-3224},
  doi       = {10.3389/fimmu.2020.593321},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-224290},
  year      = {2021},
  abstract  = {Acute graft-versus-host disease (aGvHD) is a severe and often life-threatening complication of allogeneic hematopoietic cell transplantation (allo-HCT). AGvHD is mediated by alloreactive donor T-cells targeting predominantly the gastrointestinal tract, liver, and skin. Recent work in mice and patients undergoing allo-HCT showed that alloreactive T-cells can be identified by the expression of α4β7 integrin on T-cells even before manifestation of an aGvHD. Here, we investigated whether the detection of a combination of the expression of T-cell surface markers on peripheral blood (PB) CD8\(^+\) T-cells would improve the ability to predict aGvHD. To this end, we employed two independent preclinical models of minor histocompatibility antigen mismatched allo-HCT following myeloablative conditioning. Expression profiles of integrins, selectins, chemokine receptors, and activation markers of PB donor T-cells were measured with multiparameter flow cytometry at multiple time points before the onset of clinical aGvHD symptoms. In both allo-HCT models, we demonstrated a significant upregulation of α4β7 integrin, CD162E, CD162P, and conversely, a downregulation of CD62L on donor T-cells, which could be correlated with the development of aGvHD. Other surface markers, such as CD25, CD69, and CC-chemokine receptors were not found to be predictive markers. Based on these preclinical data from mouse models, we propose a surface marker panel on peripheral blood T-cells after allo-HCT combining α4β7 integrin with CD62L, CD162E, and CD162P (cutaneous lymphocyte antigens, CLA, in humans) to identify patients at risk for developing aGvHD early after allo-HCT.},
  language  = {en}
}