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Journal Articles

Proteomic subtypes enrich current acute myeloid leukemia nomenclature and reflect intrinsic pathogenesis alongside aging

Blood (2025) 146 (22): 2681–2695.

https://doi.org/10.1182/blood.2024027692

Published: 2025

Includes: Supplemental data

Journal Articles

Bone marrow microenvironment overlap between vexas and myelodysplastic syndrome demonstrated by targeted transcriptomic and artificial intelligence

Maher Albitar, Sally Agersborg, Hong Zhang, Adam Albitar, Ahmad Charifa, Andrew Pecora, David Siegel, Andre Goy, Jamie Koprivnikar, James McCloskey, Katherine Linder

Blood (2025) 146 (Supplement 1): 5611.

https://doi.org/10.1182/blood-2025-5611

Published: 2025

Journal Articles

Acute myeloid leukemia with 4q12 rearrangements does not involve pdgfra

Long Chen, Yani Lin, Hong Zhang, Sasa Chai, Shaobin Yang, Jingya Yao, Xiaoju Hou, Xin Tian, Enbin Liu, Kun Ru

Blood (2025) 146 (Supplement 1): 1692.

https://doi.org/10.1182/blood-2025-1692

Published: 2025

Journal Articles

Developing transcriptomic signature for IDH1 and IDH2 acute leukemia and the demonstration of high prevalence of these signatures in mutation-negative leukemia

Maher Albitar, Hong Zhang, Gustavo Rivero, David Swoboda, Sally Agersborg, Adam Albitar, Ahmad Charifa, Andrew Ip, Andre Goy, Andrew Pecora, David Siegel, Kelly West Fitzpatrick, Katherine Linder, Jamie Koprivnikar, James McCloskey

Blood (2025) 146 (Supplement 1): 5251.

https://doi.org/10.1182/blood-2025-5251

Published: 2025

Journal Articles

The features of FLT3 internal tandem duplication (ITD) in acute myeloid leukemia (AML) patients and impact on prognosis

Bin Chen, Li Wang, Hong Zhang, Yani Lin, Kun Ru

Blood (2025) 146 (Supplement 1): 7017.

https://doi.org/10.1182/blood-2025-7017

Published: 2025

Journal Articles

Developing artificial intelligence-based transcriptomic signature for selecting patients with HOXA-MEIS1 pathway abnormalities for the treatment with menin inhibitors

Blood (2025) 146 (Supplement 1): 3471.

https://doi.org/10.1182/blood-2025-3471

Published: 2025

Journal Articles

Developing artificial intelligence-based transcriptomic signature for the diagnosis of dark zone lymphoma in patients without MYC gene rearrangement

Andrew Ip, Maher Albitar, Hong Zhang, Sally Agersborg, Adam Albitar, Ahmad Charifa, Andrew Pecora, David Siegel, Lori Leslie, Andre Goy, Tatyana Feldman

Blood (2025) 146 (Supplement 1): 3525.

https://doi.org/10.1182/blood-2025-3525

Published: 2025

Journal Articles

Mass spectrometry-based molecular investigation identifies key proteins involved in synergistic AXL and BCL-2 dual inhibition for Acute Myeloid Leukemia

Hongyu Guo, Aicha Houfani, Yuming Shi, Hong Zhang, Mike Lyle, Jun Yan, Zaihui Zhang, Leonard Foster, Xiaoyan Jiang

Blood (2025) 146 (Supplement 1): 6789.

https://doi.org/10.1182/blood-2025-6789

Published: 2025

Journal Articles

Analysis of clinical and laboratory characteristics of ALL with atypical BCR::ABL1 fusion genes

Yanbo Nie, Hong Zhang, Liying Liu, Yue Hou, Chuting Zhao, Yan Wang, Tongcui An, Yani Lin, Kun Ru

Blood (2025) 146 (Supplement 1): 6885.

https://doi.org/10.1182/blood-2025-6885

Published: 2025

Journal Articles

Clonotype-Naïve Detection of Clonality in Patients Suspected of Having Multiple Myeloma or Monoclonal Gammopathy Using Peripheral Blood Cell-Free RNA (cfRNA)

Maher Albitar, Hong Zhang, Sally Agersborg, Ahmad Charifa, Pooja Phull, Noa Biran, David H. Vesole, Harsh Parmar, Andrew L Pecora, Andrew Ip, Andre Goy, David S. Siegel

Blood (2024) 144 (Supplement 1): 1946.

https://doi.org/10.1182/blood-2024-201810

Published: 2024

Journal Articles

Interim Analysis of Concordance Study of Immunohistochemical CD30 Expression Detected By Multiple Assays and the Ventana CD30 Assay in Chinese Lymphoma Patients (CREDIT Study)

Blood (2024) 144 (Supplement 1): 6212.

https://doi.org/10.1182/blood-2024-199457

Published: 2024

Journal Articles

Establishing a Distinct Cytokine Signature for Multiple Myeloma Using Bone Marrow RNA and Peripheral Blood Cell-Free RNA (cfRNA)

Maher Albitar, Hong Zhang, Sally Agersborg, Ahmad Charifa, Pooja Phull, Noa Biran, David H. Vesole, Harsh Parmar, Andrew L Pecora, Andrew Ip, Andre Goy, David S. Siegel

Blood (2024) 144 (Supplement 1): 3316.

https://doi.org/10.1182/blood-2024-203774

Published: 2024

Journal Articles

Establishing Lymphoma Type-Specific Cytokine Signatures Using Tissue-Based RNA or Peripheral Blood Cell-Free RNA (cfRNA)

Maher Albitar, Hong Zhang, Sally Agersborg, Ahmad Charifa, Andrew L Pecora, Lori A. Leslie, Tatyana Feldman, Andrew Ip, Andre Goy

Blood (2024) 144 (Supplement 1): 4367.

https://doi.org/10.1182/blood-2024-203834

Published: 2024

Journal Articles

Establishing Distinct Cytokine Signatures Differentiating between Acute Myeloid Leukemia, Myelodysplastic Syndrome, and Chip Using Bone Marrow RNA or Cell-Free RNA (cfRNA)

Maher Albitar, Sally Agersborg, Ahmad Charifa, Hong Zhang, Andrew Ip, Katherine Linder, Andrew L Pecora, Jamie Koprivnikar, Andre Goy, James McCloskey

Blood (2024) 144 (Supplement 1): 4295.

https://doi.org/10.1182/blood-2024-203870

Published: 2024

Journal Articles

Lymphoma Diagnosis and Classification Using Next Generation Sequencing of 30 CD Markers and Machine Learning As an Alternative to Immunohistochemistry

Maher Albitar, Hong Zhang, Andrew Ip, Wanlong Ma, Jeffrey Justin Estella, Lori A. Leslie, Tatyana Feldman, Ahmad Charifa, Arash Mohtashamian, Andrew L Pecora, Andre Goy

Blood (2023) 142 (Supplement 1): 3665.

https://doi.org/10.1182/blood-2023-187534

Published: 2023

Journal Articles

Using Next Generation Sequencing of Flow Cytometry CD Markers and Machine Learning As a Replacement to Flow Cytometry Analysis for the Diagnosis of Hematologic Neoplasms

Maher Albitar, Hong Zhang, Andrew Ip, Wanlong Ma, James McCloskey, Katherine Linder, Jeffrey Justin Estella, Jamie Koprivnikar, Noa Biran, David S. Siegel, Ahmad Charifa, Arash Mohtashamian, Andrew L Pecora, Andre Goy

Blood (2023) 142 (Supplement 1): 3654.

https://doi.org/10.1182/blood-2023-187041

Published: 2023

Journal Articles

Polygenic HLA-Class I and HLA-Class II Models Define Various Types of Lymphoma

Maher Albitar, Hong Zhang, Andrew Ip, Gustavo A. Rivero, Wanlong Ma, Jeffrey Justin Estella, Lori A. Leslie, Tatyana Feldman, Ahmad Charifa, Arash Mohtashamian, Andrew L Pecora, Andre Goy

Blood (2023) 142 (Supplement 1): 6110.

https://doi.org/10.1182/blood-2023-187686

Published: 2023

Journal Articles

Deregulation of HLA-Class I and Class II Genes in Chip, MDS, and Acute Leukemia and Similarity between Chip and MDS in HLA Profile

Maher Albitar, Hong Zhang, Andrew Ip, Gustavo A. Rivero, Wanlong Ma, James McCloskey, Katherine Linder, Jeffrey Justin Estella, Jamie Koprivnikar, Ahmad Charifa, Arash Mohtashamian, Andrew L Pecora, Andre Goy

Blood (2023) 142 (Supplement 1): 5688.

https://doi.org/10.1182/blood-2023-187606

Published: 2023

Journal Articles

C1Q labels a highly aggressive macrophage-like leukemia population indicating extramedullary infiltration and relapse

Li-Xue Yang, Cheng-Tao Zhang, Meng-Ying Yang, Xue-Hong Zhang, Hong-Chen Liu, Chen-Hui Luo, Yue Jiang, Zhang-Man Wang, Zhong-Yin Yang, Zhao-Peng Shi, Yi-Ci Yang, Ruo-Qu Wei, Li Zhou, Jun Mi, Ai-Wu Zhou, Zhi-Rong Yao, Li Xia, Jin-Song Yan, Ying Lu

Blood (2023) 141 (7): 766–786.

https://doi.org/10.1182/blood.2022017046

Published: 2023

Includes: Supplemental data

Journal Articles

Using Targeted Transcriptome and Machine Learning of Pre- and Post-Transplant Bone Marrow Samples to Predict Acute Gvhd (aGVHD) and Overall Survival after Allogeneic HSC Transplantation

Maher Albitar, Hong Zhang, Andrew L. Pecora, Andrew Ip, Andre H. Goy, Spiraggelos Antzoulatos, Wanlong Ma, Sukhdeep Kaur, Hyung C. Suh, Michele L. Donato, Scott D. Rowley

Blood (2022) 140 (Supplement 1): 4757–4758.

https://doi.org/10.1182/blood-2022-162816

Published: 2022

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Proteomic subtypes enrich current acute myeloid leukemia nomenclature and reflect intrinsic pathogenesis alongside aging

Bone marrow microenvironment overlap between vexas and myelodysplastic syndrome demonstrated by targeted transcriptomic and artificial intelligence

Acute myeloid leukemia with 4q12 rearrangements does not involve pdgfra

Developing transcriptomic signature for IDH1 and IDH2 acute leukemia and the demonstration of high prevalence of these signatures in mutation-negative leukemia

The features of FLT3 internal tandem duplication (ITD) in acute myeloid leukemia (AML) patients and impact on prognosis

Developing artificial intelligence-based transcriptomic signature for selecting patients with HOXA-MEIS1 pathway abnormalities for the treatment with menin inhibitors

Developing artificial intelligence-based transcriptomic signature for the diagnosis of dark zone lymphoma in patients without MYC gene rearrangement

Mass spectrometry-based molecular investigation identifies key proteins involved in synergistic AXL and BCL-2 dual inhibition for Acute Myeloid Leukemia

Analysis of clinical and laboratory characteristics of ALL with atypical BCR::ABL1 fusion genes

Clonotype-Naïve Detection of Clonality in Patients Suspected of Having Multiple Myeloma or Monoclonal Gammopathy Using Peripheral Blood Cell-Free RNA (cfRNA)

Interim Analysis of Concordance Study of Immunohistochemical CD30 Expression Detected By Multiple Assays and the Ventana CD30 Assay in Chinese Lymphoma Patients (CREDIT Study)

Establishing a Distinct Cytokine Signature for Multiple Myeloma Using Bone Marrow RNA and Peripheral Blood Cell-Free RNA (cfRNA)

Establishing Lymphoma Type-Specific Cytokine Signatures Using Tissue-Based RNA or Peripheral Blood Cell-Free RNA (cfRNA)

Establishing Distinct Cytokine Signatures Differentiating between Acute Myeloid Leukemia, Myelodysplastic Syndrome, and Chip Using Bone Marrow RNA or Cell-Free RNA (cfRNA)

Lymphoma Diagnosis and Classification Using Next Generation Sequencing of 30 CD Markers and Machine Learning As an Alternative to Immunohistochemistry

Using Next Generation Sequencing of Flow Cytometry CD Markers and Machine Learning As a Replacement to Flow Cytometry Analysis for the Diagnosis of Hematologic Neoplasms

Polygenic HLA-Class I and HLA-Class II Models Define Various Types of Lymphoma

Deregulation of HLA-Class I and Class II Genes in Chip, MDS, and Acute Leukemia and Similarity between Chip and MDS in HLA Profile

C1Q labels a highly aggressive macrophage-like leukemia population indicating extramedullary infiltration and relapse

Using Targeted Transcriptome and Machine Learning of Pre- and Post-Transplant Bone Marrow Samples to Predict Acute Gvhd (aGVHD) and Overall Survival after Allogeneic HSC Transplantation

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