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Oncology and Therapy|June 5, 2026
Machine Learning-Guided Survival Prediction and Treatment Sequencing in Advanced Soft Tissue Sarcoma Beyond Second-Line Therapy: A Retrospective Cohort StudyMichael Hoberger, Dorit Di Gioia, Romy L Zuber, et al.
Journal of Cancer Research and Clinical Oncology|January 8, 2026
Long-term benefit from high-dose ifosfamide in sarcoma depends on sustained prior control and timely intervention: a machine learning analysisMichael Hoberger, Romy L Zuber, Anton Burkhard-Meier, et al.
Leukemia|November 5, 2022
In vivo PDX CRISPR/Cas9 screens reveal mutual therapeutic targets to overcome heterogeneous acquired chemo-resistanceAnna-Katharina Wirth, Lucas Wange, Sebastian Vosberg, et al.
Scientific Reports|July 28, 2018
Mediation analysis reveals common mechanisms of RUNX1 point mutations and RUNX1/RUNX1T1 fusions influencing survival of patients with acute myeloid leukemiaRoman Hornung, Vindi Jurinovic, Aarif M N Batcha, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|December 14, 2023
Minimal Residual Disease Status Predicts Outcome in Patients With Previously Untreated Follicular Lymphoma: A Prospective Analysis of the Phase III GALLIUM StudyChristiane Pott, Vindi Jurinovic, Judith Trotman, et al.
Blood|July 16, 2016
Clinicogenetic risk models predict early progression of follicular lymphoma after first-line immunochemotherapyVindi Jurinovic, Robert Kridel, Annette M Staiger, et al.
Molecular Cancer|July 8, 2023
Combined proteomics and CRISPR‒Cas9 screens in PDX identify ADAM10 as essential for leukemia in vivoEhsan Bahrami, Jan Philipp Schmid, Vindi Jurinovic, et al.
Blood|November 8, 2019
Localized- and advanced-stage follicular lymphomas differ in their gene expression profilesAnnette M Staiger, Eva Hoster, Vindi Jurinovic, et al.
Hemasphere|August 17, 2022
Molecular Cytogenetic Profiling Reveals Similarities and Differences Between Localized Nodal and Systemic Follicular LymphomasHeike Horn, Vindi Jurinovic, Ellen Leich, et al.
Genes, Chromosomes & Cancer|September 17, 2016
Acute myeloid leukemia with del(9q) is characterized by frequent mutations of NPM1, DNMT3A, WT1 and low expression of TLE4Tobias Herold, Klaus H Metzeler, Sebastian Vosberg, et al.
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