Prognostic Factors and Progression Biomarkers in AL Amyloidosis: Mapping Current Knowledge and Critical Gaps

The therapeutic landscape for systemic immunoglobulin light chain (AL) amyloidosis has been revolutionized by daratumumab-based regimens, achieving 76% five-year overall survival in the landmark ANDROMEDA trial. However, the current prognostic models were developed using patient populations treated with now-suboptimal therapies, creating a critical gap between risk stratification models and contemporary outcomes. This comprehensive review analyses prognostic factors and progression biomarkers in AL, categorizing them into disease-specific (clone-related and organ-related) and patient-specific factors. Notably, traditional baseline biomarkers including difference between involved and uninvolved free light chains (dFLC) and bone marrow plasma cell burden are losing prognostic significance with effective clone-directed therapies. Emerging approaches show promise, including dynamic markers such as minimal residual disease by free light chain mass spectrometry, cardiac imaging parameters such as global longitudinal strain, and functional measures. There is an urgent need for validation studies and prognostic model refinement to identify high-risk patients who may benefit from interventions beyond anti-plasma cell therapy.

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Publication Details

Journal
Blood
Published
2026-03-04
DOI
https://doi.org/10.1182/blood.2025031651
Primary Topic
Amyloidosis: Diagnosis, Treatment, Outcomes
Type
article
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article

Prognostic Factors and Progression Biomarkers in AL Amyloidosis: Mapping Current Knowledge and Critical Gaps

Joban Vaishnav, Rajshekhar Chakraborty, David G. Wolinsky, Chafic Karam et al.
Blood
Amyloidosis: Diagnosis, Treatment, Outcomes
article

Prognostic Factors and Progression Biomarkers in AL Amyloidosis: Mapping Current Knowledge and Critical Gaps

Joban Vaishnav, Rajshekhar Chakraborty, David G. Wolinsky, Chafic Karam, Brian C. Boursiquot, Jamie Zigterman, Kristen Hsu, Pablo Garcia-Pavia, Mathew S. Maurer, Morie A. Gertz, Ana Carolina Kazemzadeh, Jan Marie Griffin, Mazen Hanna, Dimitrios Bampatsias, Ronald Witteles, Helen J Lachmann, Phaedra Theodora Johnson, James E. Hoffman, Ashutosh D. Wechalekar, Yevgeniy Brailovsky
article en

Abstract

The therapeutic landscape for systemic immunoglobulin light chain (AL) amyloidosis has been revolutionized by daratumumab-based regimens, achieving 76% five-year overall survival in the landmark ANDROMEDA trial. However, the current prognostic models were developed using patient populations treated with now-suboptimal therapies, creating a critical gap between risk stratification models and contemporary outcomes. This comprehensive review analyses prognostic factors and progression biomarkers in AL, categorizing them into disease-specific (clone-related and organ-related) and patient-specific factors. Notably, traditional baseline biomarkers including difference between involved and uninvolved free light chains (dFLC) and bone marrow plasma cell burden are losing prognostic significance with effective clone-directed therapies. Emerging approaches show promise, including dynamic markers such as minimal residual disease by free light chain mass spectrometry, cardiac imaging parameters such as global longitudinal strain, and functional measures. There is an urgent need for validation studies and prognostic model refinement to identify high-risk patients who may benefit from interventions beyond anti-plasma cell therapy.

Blood
Cleveland Clinic (US), Mayo Clinic (US), Johns Hopkins University (US), University of Miami (US), Medical University of South Carolina (US), Columbia University Irving Medical Center (US), The Royal Free Hospital (GB), Hospital Universitario Puerta de Hierro Majadahonda (ES), Cleveland Clinic Florida (US), Amyloidosis Foundation (US), Elmhurst Hospital Center (US), Sylvester Comprehensive Cancer Center (US), University College London (GB), University of Pennsylvania (US), Stanford University (US)
Openalex Percentile: Top 34%
Amyloidosis: Diagnosis, Treatment, Outcomes
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