10 Works
Additional file 3 of EVI1 expression in early-stage breast cancer patients treated with neoadjuvant chemotherapy
Jonas Leichsenring, Valentina Vladimirova, Christine Solbach, Thomas Karn, Beyhan Ataseven, Bruno Valentin Sinn, Jana Barinoff, Volkmar Müller, Jens-Uwe Blohmer, Christian Schem, Knut Engels, Frederik Marmé, Annette Fisseler-Eckhoff, Peter A. Fasching, Elmar Stickeler, Marion van Mackelenbergh, Carsten Denkert, Albrecht Stenzinger, Sibylle Loibl & Stefan Gröschel
Additional file 3: Supplementary Figure 3. Kaplan-Meier estimates of DFS (A) and OS (B) according to EVI1 expression in the non-pCR subgroup. Abbreviations:pCR, pathological complete response; DFS, disease-free survival; OS, overallsurvival.
Additional file 1 of EVI1 expression in early-stage breast cancer patients treated with neoadjuvant chemotherapy
Jonas Leichsenring, Valentina Vladimirova, Christine Solbach, Thomas Karn, Beyhan Ataseven, Bruno Valentin Sinn, Jana Barinoff, Volkmar Müller, Jens-Uwe Blohmer, Christian Schem, Knut Engels, Frederik Marmé, Annette Fisseler-Eckhoff, Peter A. Fasching, Elmar Stickeler, Marion van Mackelenbergh, Carsten Denkert, Albrecht Stenzinger, Sibylle Loibl & Stefan Gröschel
Additional file 1: Supplementary Figure 1. Flow diagram of patients included in the analysis set from GeparTrio study.
Additional file 1 of EVI1 expression in early-stage breast cancer patients treated with neoadjuvant chemotherapy
Jonas Leichsenring, Valentina Vladimirova, Christine Solbach, Thomas Karn, Beyhan Ataseven, Bruno Valentin Sinn, Jana Barinoff, Volkmar Müller, Jens-Uwe Blohmer, Christian Schem, Knut Engels, Frederik Marmé, Annette Fisseler-Eckhoff, Peter A. Fasching, Elmar Stickeler, Marion van Mackelenbergh, Carsten Denkert, Albrecht Stenzinger, Sibylle Loibl & Stefan Gröschel
Additional file 1: Supplementary Figure 1. Flow diagram of patients included in the analysis set from GeparTrio study.
Additional file 2 of EVI1 expression in early-stage breast cancer patients treated with neoadjuvant chemotherapy
Jonas Leichsenring, Valentina Vladimirova, Christine Solbach, Thomas Karn, Beyhan Ataseven, Bruno Valentin Sinn, Jana Barinoff, Volkmar Müller, Jens-Uwe Blohmer, Christian Schem, Knut Engels, Frederik Marmé, Annette Fisseler-Eckhoff, Peter A. Fasching, Elmar Stickeler, Marion van Mackelenbergh, Carsten Denkert, Albrecht Stenzinger, Sibylle Loibl & Stefan Gröschel
Additional file 2: Supplementary Figure 2. Distribution of EVI1 continuous expression in breast cancer: A: Histogram of EVI1 continuous expression in the entire cohort (N=993); B: Boxplots of EVI1 continuous expression within breast cancer subtypes. Note, 882/993 patients with available BC subtype information were included in this analysis. Horizontal bold lines present EVI1 median values of 116.65 in HR+/HER2-, 98.67 in HR+/HER2+, 114.77in HR-/HER2+, and 115.64 in TNBC; boxes present the interquartile range between first...
Additional file 1 of Feasibility and outcome of reproducible clinical interpretation of high-dimensional molecular data: a comparison of two molecular tumor boards
Damian T. Rieke, Till de Bortoli, Peter Horak, Mario Lamping, Manuela Benary, Ivan Jelas, Gina Rüter, Johannes Berger, Marit Zettwitz, Niklas Kagelmann, Andreas Kind, Falk Fabian, Dieter Beule, Hanno Glimm, Benedikt Brors, Albrecht Stenzinger, Stefan Fröhling & Ulrich Keilholz
Additional file 1: Figure S1. Shows the respective molecular tumor board workflows of Heidelberg (HDB) and Berlin (BLN). Corresponding steps are indicated by their respective colors.
Additional file 3 of EVI1 expression in early-stage breast cancer patients treated with neoadjuvant chemotherapy
Jonas Leichsenring, Valentina Vladimirova, Christine Solbach, Thomas Karn, Beyhan Ataseven, Bruno Valentin Sinn, Jana Barinoff, Volkmar Müller, Jens-Uwe Blohmer, Christian Schem, Knut Engels, Frederik Marmé, Annette Fisseler-Eckhoff, Peter A. Fasching, Elmar Stickeler, Marion van Mackelenbergh, Carsten Denkert, Albrecht Stenzinger, Sibylle Loibl & Stefan Gröschel
Additional file 3: Supplementary Figure 3. Kaplan-Meier estimates of DFS (A) and OS (B) according to EVI1 expression in the non-pCR subgroup. Abbreviations:pCR, pathological complete response; DFS, disease-free survival; OS, overallsurvival.
Additional file 1 of Malaria attributable fractions with changing transmission intensity: Bayesian latent class vs logistic models
Kennedy Mwai, Irene Nkumama, Amos Thairu, James Mburu, Dennis Odera, Rinter Kimathi, Lydia Nyamako, James Tuju, Samson Kinyanjui, Eustasius Musenge & Faith Osier
Additional file 1: Table S1. Parasites/µL cut off using Logistic regression. Fig S1. Distribution of predicted probabilities. Fig S2. Comparison of probabilities for Bayesian and Logistic, Junju 2008. Table S2. Anova test for Figure 2B. Fig S3. Comparison of probability of febrile and non-febrile. Fig S4. Predicted probabilities over age groups. Fig S5. Sensitivity and specificity of the different years. Fig S6. Posterior estimates of AF.
Additional file 2 of EVI1 expression in early-stage breast cancer patients treated with neoadjuvant chemotherapy
Jonas Leichsenring, Valentina Vladimirova, Christine Solbach, Thomas Karn, Beyhan Ataseven, Bruno Valentin Sinn, Jana Barinoff, Volkmar Müller, Jens-Uwe Blohmer, Christian Schem, Knut Engels, Frederik Marmé, Annette Fisseler-Eckhoff, Peter A. Fasching, Elmar Stickeler, Marion van Mackelenbergh, Carsten Denkert, Albrecht Stenzinger, Sibylle Loibl & Stefan Gröschel
Additional file 2: Supplementary Figure 2. Distribution of EVI1 continuous expression in breast cancer: A: Histogram of EVI1 continuous expression in the entire cohort (N=993); B: Boxplots of EVI1 continuous expression within breast cancer subtypes. Note, 882/993 patients with available BC subtype information were included in this analysis. Horizontal bold lines present EVI1 median values of 116.65 in HR+/HER2-, 98.67 in HR+/HER2+, 114.77in HR-/HER2+, and 115.64 in TNBC; boxes present the interquartile range between first...
Additional file 1 of Malaria attributable fractions with changing transmission intensity: Bayesian latent class vs logistic models
Kennedy Mwai, Irene Nkumama, Amos Thairu, James Mburu, Dennis Odera, Rinter Kimathi, Lydia Nyamako, James Tuju, Samson Kinyanjui, Eustasius Musenge & Faith Osier
Additional file 1: Table S1. Parasites/µL cut off using Logistic regression. Fig S1. Distribution of predicted probabilities. Fig S2. Comparison of probabilities for Bayesian and Logistic, Junju 2008. Table S2. Anova test for Figure 2B. Fig S3. Comparison of probability of febrile and non-febrile. Fig S4. Predicted probabilities over age groups. Fig S5. Sensitivity and specificity of the different years. Fig S6. Posterior estimates of AF.
Additional file 1 of Feasibility and outcome of reproducible clinical interpretation of high-dimensional molecular data: a comparison of two molecular tumor boards
Damian T. Rieke, Till de Bortoli, Peter Horak, Mario Lamping, Manuela Benary, Ivan Jelas, Gina Rüter, Johannes Berger, Marit Zettwitz, Niklas Kagelmann, Andreas Kind, Falk Fabian, Dieter Beule, Hanno Glimm, Benedikt Brors, Albrecht Stenzinger, Stefan Fröhling & Ulrich Keilholz
Additional file 1: Figure S1. Shows the respective molecular tumor board workflows of Heidelberg (HDB) and Berlin (BLN). Corresponding steps are indicated by their respective colors.
Affiliations
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University Hospital Heidelberg10
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Charité - University Medicine Berlin8
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Heidelberg University8
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German Cancer Research Center8
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Universitätsklinikum Erlangen6
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Sankt Gertrauden Krankenhaus6
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Philipps University of Marburg6
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University Hospital Schleswig-Holstein6
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University Medical Center Hamburg-Eppendorf6
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Universitätsklinikum Aachen6