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Journal Articles

Enhancer Hijacking of BCL11B Defines a Subtype of Lineage Ambiguous Acute Leukemia

Blood (2020) 136 (Supplement_2): LBA-3.

https://doi.org/10.1182/blood-2020-143881

Published: 2020

Journal Articles

Mutational Patterns and Correlation to Chip-Related Mutations in Hematological Malignancies - a Study on Mutation Frequencies of 122 Genes in 28 Entities Including 3096 Cases

Anna Stengel, PhD, Constance Baer, PhD, Wencke Walter, PhD, Manja Meggendorfer, PhD, Wolfgang Kern, MD, Torsten Haferlach, MD, Claudia Haferlach, MD

Blood (2020) 136 (Supplement 1): 37–38.

https://doi.org/10.1182/blood-2020-136288

Published: 2020

Journal Articles

The Application of Machine Learning to Improve the Subclassification and Prognostication of Acute Myeloid Leukemia

Blood (2020) 136 (Supplement 1): 28.

https://doi.org/10.1182/blood-2020-139013

Published: 2020

Journal Articles

KRAS mutations Frequently Coexist with High-Risk MLL Fusions and Are Independent Adverse Prognostic Factors in MLL -Rearranged Acute Myeloid Leukemia

Blood (2020) 136 (Supplement 1): 28–29.

https://doi.org/10.1182/blood-2020-134648

Published: 2020

Journal Articles

Aberrant Telomere Length and Composition Are Recurrent Features of Myeloid Disorders

Adam Wahida, Stephan Hutter, PhD, Manja Meggendorfer, PhD, Claudia Haferlach, MD, Wolfgang Kern, MD, Jaroslaw P. Maciejewski, MD PhD, Torsten Haferlach, MD

Blood (2020) 136 (Supplement 1): 29–30.

https://doi.org/10.1182/blood-2020-140662

Published: 2020

Journal Articles

Putative Germline Variants in the Predisposition Genes DDX41 , ETV6 and GATA2 investigated in 1,228 Patients with Sporadic AML or MDS

Anna Maierhofer, PhD, Constance Baer, PhD, Christian Pohlkamp, MD, Manja Meggendorfer, PhD, Wolfgang Kern, MD, Claudia Haferlach, MD, Torsten Haferlach, MD

Blood (2020) 136 (Supplement 1): 17–18.

https://doi.org/10.1182/blood-2020-140742

Published: 2020

Journal Articles

Cracking a Nut with a Sledgehammer? - Broadening the Spectrum of Gene Mutation Analysis in MDS Does Not Add Clinically Relevant Information

Manja Meggendorfer, PhD, Wencke Walter, PhD, Niroshan Nadarajah, Claudia Haferlach, MD, Wolfgang Kern, MD, Torsten Haferlach, MD

Blood (2020) 136 (Supplement 1): 30.

https://doi.org/10.1182/blood-2020-139274

Published: 2020

Journal Articles

Recurrent Mutations of the C-C Motif Chemokine Ligand 22 ( CCL22 ) Define a Distinct Subgroup of Chronic Lymphoproliferative Disorder of NK Cells (CLPD-NK)

Constance Baer, PhD, Shunsuke Kimura, Ilaria Iacobucci, David J Feith, BS, PhD, Wencke Walter, PhD, Manja Meggendorfer, PhD, Thomas L. Olson, PhD, Aakrosh Ratan, PhD, Martha-Lena Müller, PhD, Mitra Rana, Chunxu Qu, PhD, Ravi Kalathur, Claudia Haferlach, MD, Wolfgang Kern, MD, Thomas P. Loughran, Jr., MD, Charles G Mullighan, MBBS, MD, Torsten Haferlach, MD

Blood (2020) 136 (Supplement 1): 19.

https://doi.org/10.1182/blood-2020-140695

Published: 2020

Journal Articles

Leveraging Whole Genome Sequencing to Define the Mutational Landscape in Paroxysmal Nocturnal Hemoglobinuria

Adam Wahida, Stephan Hutter, PhD, Manja Meggendorfer, PhD, Cassandra M. Kerr, MS, Carmelo Gurnari, MD, Elisabeth Weiss, PhD, Claudia Haferlach, MD, Wolfgang Kern, MD, Jaroslaw P. Maciejewski, MD PhD, Torsten Haferlach, MD

Blood (2020) 136 (Supplement 1): 8.

https://doi.org/10.1182/blood-2020-139335

Published: 2020

Journal Articles

Analysis of Mechanisms of Blast Crisis in Chronic Myeloid Leukemia By Whole Genome Sequencing

Kristina Loy, Melanie Zenger, Manja Meggendorfer, PhD, Stephan Hutter, PhD, Wolfgang Kern, MD, Torsten Haferlach, MD, Claudia Haferlach, MD, Constance Baer, PhD

Blood (2020) 136 (Supplement 1): 19.

https://doi.org/10.1182/blood-2020-140688

Published: 2020

Journal Articles

Machine Learning (ML) Can Successfully Support Microscopic Differential Counts of Peripheral Blood Smears in a High Throughput Hematology Laboratory

Christian Pohlkamp, MD, Kapil Jhalani, Niroshan Nadarajah, Inseok Heo, PhD, William Wetton, Rudolf Drescher, PhD, Siegfried Hänselmann, PhD, Thomas Lörch, PhD, Claudia Haferlach, MD, Wolfgang Kern, MD, Torsten Haferlach, MD

Blood (2020) 136 (Supplement 1): 45–46.

https://doi.org/10.1182/blood-2020-140215

Published: 2020

Journal Articles

Artificial Intelligence Substantially Supports Chromosome Banding Analysis Maintaining Its Strengths in Hematologic Diagnostics Even in the Era of Newer Technologies

Claudia Haferlach, MD, Siegfried Hänselmann, PhD, Wencke Walter, PhD, Sarah Volkert, Melanie Zenger, Wolfgang Kern, MD, Anna Stengel, PhD, Thomas Lörch, PhD, Torsten Haferlach, MD

Blood (2020) 136 (Supplement 1): 47–48.

https://doi.org/10.1182/blood-2020-137463

Published: 2020

Journal Articles

The Potential of Molecular Genetic Analysis for Diagnostic and Prognostic Decision Making in Clonal Cytopenia of Undetermined Significance (CCUS) and MDS - a Study on 576 Patients

Constance Baer, PhD, Anna Stengel, PhD, Wolfgang Kern, MD, Claudia Haferlach, MD, Torsten Haferlach, MD

Blood (2020) 136 (Supplement 1): 30–31.

https://doi.org/10.1182/blood-2020-136557

Published: 2020

Journal Articles

A Personalized Clinical-Decision Tool to Improve the Diagnostic Accuracy of Myelodysplastic Syndromes

Blood (2020) 136 (Supplement 1): 33–35.

https://doi.org/10.1182/blood-2020-139412

Published: 2020

Journal Articles

T-Cell Acute Lymphoblastic Leukemia Can be Subdivided into Six Genetically Distinct Subtypes with Prognostic Impact By Combination of Whole Genome and Whole Transcriptome Data

Janine Müller, PhD, Claudia Haferlach, MD, Henning Ruge, PhD, Heiko Müller, PhD, Irene Fuhrmann, Manja Meggendorfer, PhD, Martha-Lena Müller, PhD, Wolfgang Kern, MD, Torsten Haferlach, MD, Anna Stengel, PhD

Blood (2020) 136 (Supplement 1): 8–9.

https://doi.org/10.1182/blood-2020-136554

Published: 2020

Journal Articles

Genotype-Phenotype Correlations in Patients with Myeloid Malignancies Using Explainable Artificial Intelligence

Nathan Radakovich, BA, Luca Malcovati, MD, Manja Meggendorfer, PhD, Mikkael A. Sekeres, MD MS, Jacob Shreve, MD MS, Cameron Beau Hilton, MD, Yazan Rouphail, Wencke Walter, PhD, Stephan Hutter, PhD, Anna Gallì, Sarah Pozzi, Aaron T. Gerds, MDMS, Sudipto Mukherjee, MD PhD MPH, Cassandra M Kerr, MS, Babal K. Jha, PhD, Claudia Haferlach, MD, Jaroslaw P. Maciejewski, MD PhD, Torsten Haferlach, MD, Aziz Nazha, MD

Blood (2020) 136 (Supplement 1): 31–32.

https://doi.org/10.1182/blood-2020-140023

Published: 2020

Journal Articles

Correlation of Mutation Patterns with Patient Age in 2656 Cases with 11 Different Hematological Malignancies

Anna Stengel, PhD, Manja Meggendorfer, PhD, Wolfgang Kern, MD, Torsten Haferlach, MD, Claudia Haferlach, MD

Blood (2020) 136 (Supplement 1): 16–17.

https://doi.org/10.1182/blood-2020-136545

Published: 2020

Journal Articles

The Diverse Landscape of Fusion Transcripts in 25 Different Hematological Entities

Claudia Haferlach, MD, Wencke Walter, PhD, Manja Meggendorfer, PhD, Constance Baer, PhD, Anna Stengel, PhD, Stephan Hutter, PhD, Niroshan Nadarajah, Wolfgang Kern, MD, Torsten Haferlach, MD

Blood (2020) 136 (Supplement 1): 16–17.

https://doi.org/10.1182/blood-2020-137518

Published: 2020

Journal Articles

Employment of Machine Learning Models Yields Highly Accurate Hematological Disease Prediction from Raw Flow Cytometry Matrix Data without the Need for Visualization or Human Intervention

Martha-Lena Müller, PhD, Niroshan Nadarajah, Kapil Jhalani, Inseok Heo, PhD, William Wetton, Claudia Haferlach, MD, Torsten Haferlach, MD, Wolfgang Kern, MD

Blood (2020) 136 (Supplement 1): 11.

https://doi.org/10.1182/blood-2020-140927

Published: 2020

Journal Articles

Rare Germline Alterations of Myeloperoxidase Predispose to Myeloid Neoplasms and Are Associated with Increased Circulating Burden of Microbial DNA

Sunisa Kongkiatkamon, MD, Samuel Li, BA, Tatiana Dombrovski, Laila Terkawi, Cassandra M Kerr, MS, Vera Adema, PhD, Yasunobu Nagata, MD PhD, Wencke Walter, PhD, Hassan Awada, MD, Bartlomiej Przychodzen, Stephan Hutter, PhD, Carmelo Gurnari, MD, Simona Pagliuca, MD, Manja Meggendorfer, PhD, Claudia Haferlach, MD, Valeria Visconte, PhD, Torsten Haferlach, MD, Jaroslaw P. Maciejewski, MD PhD, Thomas LaFramboise, PhD

Blood (2020) 136 (Supplement 1): 2–3.

https://doi.org/10.1182/blood-2020-139972

Published: 2020

NARROW

Enhancer Hijacking of BCL11B Defines a Subtype of Lineage Ambiguous Acute Leukemia

Mutational Patterns and Correlation to Chip-Related Mutations in Hematological Malignancies - a Study on Mutation Frequencies of 122 Genes in 28 Entities Including 3096 Cases

The Application of Machine Learning to Improve the Subclassification and Prognostication of Acute Myeloid Leukemia

KRAS mutations Frequently Coexist with High-Risk MLL Fusions and Are Independent Adverse Prognostic Factors in MLL -Rearranged Acute Myeloid Leukemia

Aberrant Telomere Length and Composition Are Recurrent Features of Myeloid Disorders

Putative Germline Variants in the Predisposition Genes DDX41 , ETV6 and GATA2 investigated in 1,228 Patients with Sporadic AML or MDS

Cracking a Nut with a Sledgehammer? - Broadening the Spectrum of Gene Mutation Analysis in MDS Does Not Add Clinically Relevant Information

Recurrent Mutations of the C-C Motif Chemokine Ligand 22 ( CCL22 ) Define a Distinct Subgroup of Chronic Lymphoproliferative Disorder of NK Cells (CLPD-NK)

Leveraging Whole Genome Sequencing to Define the Mutational Landscape in Paroxysmal Nocturnal Hemoglobinuria

Analysis of Mechanisms of Blast Crisis in Chronic Myeloid Leukemia By Whole Genome Sequencing

Machine Learning (ML) Can Successfully Support Microscopic Differential Counts of Peripheral Blood Smears in a High Throughput Hematology Laboratory

Artificial Intelligence Substantially Supports Chromosome Banding Analysis Maintaining Its Strengths in Hematologic Diagnostics Even in the Era of Newer Technologies

The Potential of Molecular Genetic Analysis for Diagnostic and Prognostic Decision Making in Clonal Cytopenia of Undetermined Significance (CCUS) and MDS - a Study on 576 Patients

A Personalized Clinical-Decision Tool to Improve the Diagnostic Accuracy of Myelodysplastic Syndromes

T-Cell Acute Lymphoblastic Leukemia Can be Subdivided into Six Genetically Distinct Subtypes with Prognostic Impact By Combination of Whole Genome and Whole Transcriptome Data

Genotype-Phenotype Correlations in Patients with Myeloid Malignancies Using Explainable Artificial Intelligence

Correlation of Mutation Patterns with Patient Age in 2656 Cases with 11 Different Hematological Malignancies

The Diverse Landscape of Fusion Transcripts in 25 Different Hematological Entities

Employment of Machine Learning Models Yields Highly Accurate Hematological Disease Prediction from Raw Flow Cytometry Matrix Data without the Need for Visualization or Human Intervention

Rare Germline Alterations of Myeloperoxidase Predispose to Myeloid Neoplasms and Are Associated with Increased Circulating Burden of Microbial DNA

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American Society of Hematology

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ASH Publications

American Society of Hematology

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