Uninvolved immunoglobulins predicting hematological response in newly diagnosed AL amyloidosis
Eli Muchtar1, Hila Magen1, Gilad Itchaki1
1Institute of Hematology, Davidoff Cancer Center, Beilinson Hospital, Rabin Medical Centre, Petah-Tikva, Israel; Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Abstract:
Immunoparesis serves as a marker for elevated risk for progression in plasma cell proliferative disorders. However, the impact of immunoparesis in AL amyloidosis has not been addressed. Immunoparesis was defined qualitatively as any decrease below the low reference levels of the uninvolved immunoglobulins and quantitatively, as the relative difference between the uninvolved immunoglobulins and the lower reference values. Forty-one newly diagnosed AL amyloidosis patients were included. Sixty-six percent of patients had a suppression of the uninvolved immunoglobulins. The median relative difference of the uninvolved immunoglobulins was 18% above the low reference levels [range (-71%)-210%]. Ninety percent of the patients were treated with novel agents-based regimens, mostly bortezomib-containing regimens. Nineteen percent of the patients did not attain response to first line treatment. Patients with relative difference of uninvolved immunoglobulins below -25% of the low reference levels were less likely to respond to first line treatment compared to patients with a relative difference of -25% and above [odds ratio for no response vs. partial response and better 30 [(95% CI 4.1-222.2), P=0.0004]. Patients who failed first line treatment were successfully salvaged with lenalidomide-based treatment. Immunoparesis, if assessed quantitatively, may serve as a predictor of response in AL amyloidosis patients treated with bortezomib-containing regimens.
More Related Videos
18:48In Vitro and In Vivo Assessment of T, B and Myeloid Cells Suppressive Activity and Humoral Responses from Transplant Recipients
Published on: August 12, 2017
09:02Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation
Published on: November 26, 2018
