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Journal Articles

B- and T-cell clonality using peripheral blood cell-free RNA (cfRNA) in liquid biopsy

Adam Albitar, Alfonso Lam, Sally Agersborg, Ahmad Charifa, Pooja Phull, Noa Biran, David Vesole, Harsh Parmar, Andrew Pecora, Andrew Ip, Andre Goy, David Siegel, Maher Albitar

Blood (2025) 146 (Supplement 1): 1754.

https://doi.org/10.1182/blood-2025-1754

Published: 2025

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

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

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

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

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

Liquid Immunophenotyping and the Diagnosis of Lymphoid Neoplasms Using Cell-Free RNA

Maher Albitar, Hong Zhang, Andrew Ip, Jeffrey Justin Estella, Ahmad Charifa, Wanlong Ma, Ipsa Sharma, Andrew L. Pecora, Lori Leslie, Tatyana Feldman, Andre H. Goy

Blood (2022) 140 (Supplement 1): 7828–7829.

https://doi.org/10.1182/blood-2022-162590

Published: 2022

Journal Articles

DNA and RNA Profiles in Machine Learning Algorithm to Predict Which Patients with AML/MDS Will Respond to Venetoclax-Based Therapy

Maher Albitar, Andrew Ip, Andre H. Goy, Katherine Linder, Jeffrey Justin Estella, Ahmad Charifa, Wanlong Ma, Andrew L. Pecora, Jamie Koprivnikar, James McCloskey

Blood (2022) 140 (Supplement 1): 6270–6271.

https://doi.org/10.1182/blood-2022-167406

Published: 2022

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B- and T-cell clonality using peripheral blood cell-free RNA (cfRNA) in liquid biopsy

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

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

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

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

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

Liquid Immunophenotyping and the Diagnosis of Lymphoid Neoplasms Using Cell-Free RNA

DNA and RNA Profiles in Machine Learning Algorithm to Predict Which Patients with AML/MDS Will Respond to Venetoclax-Based Therapy

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