Long-term outcomes and renal responses following autologous hematopoietic stem cell transplantation for light chain deposition disease: a retrospective study on behalf of the Chronic Malignancies Working Party of the European Society for Blood and Marrow Transplantation.

There is little long-term outcome data on the efficacy of autologous hematopoietic stem cell transplantation (ASCT) in light chain deposition disease (LCDD). We identified 51 LCDD patients in the EBMT registry who had undergone upfront ASCT between 1995 and 2021. The median serum creatinine was 280 µmol/L and 45% required renal replacement therapy (RRT) at time of transplant. The melphalan dose was 100mg/m2 in 23%, 140mg/m2 in 55% and 200 mg/m2 in 21%. The rate of very good partial response or better improved from 41% pre-transplant to 66% at Day +100 post-ASCT. In RRT-independent patients, there was a modest improvement in renal function within the first 3 months; the median eGFR increased from 44 to 51 ml/min/1.73 m2. There was no further change between 3 and 12 months post- ASCT. No patient who was RRT-independent at ASCT became RRT dependent by Day + 100 post-ASCT. Median follow-up post-ASCT was 84 months (IQR: 46-122). At 6-years post ASCT, overall survival (OS) was 88% (95% CI: 78-98%) and PFS was 44% (95% CI: 28-60%). The 2-year cumulative incidence of relapse and non-relapse mortality (NRM) was 17% (95% CI: 6-27%) and 2% (95% CI: 0-6%), respectively. The cumulative incidence of renal transplantation at 4 years after ASCT was 27% (95% CI 13-41) with renal transplantation performed between 6.3 and 52.9 months post-ASCT (median 24.7 months). ASCT represents a feasible option for LCDD patients even if RRT dependent at time of transplant. Outcomes are favourable with low NRM and good long-term OS.

Combined Subcutaneous Fat Aspirate and Skin Tru-Cut Biopsy for Amyloid Screening in Patients with Suspected Systemic Amyloidosis.

Screening for systemic amyloidosis is typically carried out with abdominal fat aspirates with varying reported sensitivities. Fat aspirates are preferred for use in primary screening instead of organ biopsies as they are less invasive and thereby minimize the potential risk of complications. At Odense Amyloidosis Center, we performed a prospective study on whether the combined use of fat aspirate and tru-cut skin biopsy could increase the diagnostic sensitivity. Both fat aspirates and skin biopsies were screened with Congo Red staining, and positive biopsies were subsequently subtyped using immunoelectron microscopy and mass spectrometry. Seventy-six patients were included. In total, 24 patients had systemic amyloidosis (11 AL, 12 wtATTR, 1 AA), and 6 patients had localized amyloidosis. Combined fat aspirate and skin biopsy were Congo Red-positive in 15 patients (overall sensitivity (OS) 62.5%). Fat aspirates were positive in 14 patients (OS 58.3%), and the skin biopsy was positive in 5 patients (OS 20.8%). In only one patient did the skin biopsy add extra diagnostic information. The sensitivity differed between AL and ATTR amyloidosis-81.8% and 41.7%, respectively. Using skin biopsy as the only screening method is not recommended.

Classification of Amyloidosis by Model-Assisted Mass Spectrometry-Based Proteomics.

Amyloidosis is a rare disease caused by the misfolding and extracellular aggregation of proteins as insoluble fibrillary deposits localized either in specific organs or systemically throughout the body. The organ targeted and the disease progression and outcome is highly dependent on the specific fibril-forming protein, and its accurate identification is essential to the choice of treatment. Mass spectrometry-based proteomics has become the method of choice for the identification of the amyloidogenic protein. Regrettably, this identification relies on manual and subjective interpretation of mass spectrometry data by an expert, which is undesirable and may bias diagnosis. To circumvent this, we developed a statistical model-assisted method for the unbiased identification of amyloid-containing biopsies and amyloidosis subtyping. Based on data from mass spectrometric analysis of amyloid-containing biopsies and corresponding controls. A Boruta method applied on a random forest classifier was applied to proteomics data obtained from the mass spectrometric analysis of 75 laser dissected Congo Red positive amyloid-containing biopsies and 78 Congo Red negative biopsies to identify novel "amyloid signature" proteins that included clusterin, fibulin-1, vitronectin complement component C9 and also three collagen proteins, as well as the well-known amyloid signature proteins apolipoprotein E, apolipoprotein A4, and serum amyloid P. A SVM learning algorithm were trained on the mass spectrometry data from the analysis of the 75 amyloid-containing biopsies and 78 amyloid-negative control biopsies. The trained algorithm performed superior in the discrimination of amyloid-containing biopsies from controls, with an accuracy of 1.0 when applied to a blinded mass spectrometry validation data set of 103 prospectively collected amyloid-containing biopsies. Moreover, our method successfully classified amyloidosis patients according to the subtype in 102 out of 103 blinded cases. Collectively, our model-assisted approach identified novel amyloid-associated proteins and demonstrated the use of mass spectrometry-based data in clinical diagnostics of disease by the unbiased and reliable model-assisted classification of amyloid deposits and of the specific amyloid subtype.

[Monoclonal gammopathy of undetermined significance].

This review summarises the work-up of patients with monoclonal gammopathy of undetermined significance (MGUS). In persons above 70 years of age, around 5% have MGUS, a premalignant state with a monoclonal plasma immunoglobulin or light chain (M protein) in blood and/or urine. Continuous follow-up is recommended due to a risk of malignant progression of around 1% per year. Immunoglobulin M MGUS primarily progresses to Waldenström's macroglobulinaemia, whereas non-immunoglobulin M MGUS typically progresses to multiple myeloma or amyloid light-chain amyloidosis. Treatment is unnecessary unless in rare cases of severe non-malignant complications. Screening is not advised.

Immunoelectron microscopy and mass spectrometry for classification of amyloid deposits.

Amyloidosis is a shared name for several rare, complex and serious diseases caused by extra-cellular deposits of different misfolded proteins. Accurate characterization of the amyloid protein is essential for patient care. Immunoelectron microscopy (IEM) and laser microdissection followed by tandem mass spectrometry (LMD-MS) are new gold standards for molecular subtyping. Both methods perform superiorly to immunohistochemistry, but their complementarities, strengths and weaknesses across amyloid subtypes and organ biopsy origin remain undefined. Therefore, we performed a retrospective study of 106 Congo Red positive biopsies from different involved organs; heart, kidney, lung, gut mucosa, skin and bone marrow. IEM, performed with gold-labelled antibodies against kappa light chains, lambda light chains, transthyretin and amyloid A, identified specific staining of amyloid fibrils in 91.6%; in six biopsies amyloid fibrils were not identified, and in two, the fibril subtype could not be established. LMD-MS identified amyloid protein signature in 98.1%, but in nine the amyloid protein could not be clearly identified. MS identified protein subtype in 89.6%. Corresponding specificities ranged at organ level from 94-100%. Concordance was 89.6-100% for different amyloid subtypes. Importantly, combined use of both methods increased the diagnostic classification to 100%. Some variety in performances at organ level was observed.

Performance goals for immunoglobulins and serum free light chain measurements in plasma cell dyscrasias can be based on biological variation.

Measurements of immunoglobulins and serum free light chains (sFLC) are frequently used in patients with monoclonal plasma cell dyscrasia (PCD). For optimum patient care, well-defined performance standards or goals for the measured concentrations of immunoglobulins and sFLC are required. Generally, data based on biological variation is a good and reliable method for setting desirable performance standards; this also applies for the measurements of paraprotein and sFLC. The benefits of this approach are several. Among others, it is independent of the clinician, and it provides us with information about reference change value and index of individuality. Several studies on biological variation of both immunoglobulins and sFLC have been published, and mostly the studies are well performed. The studies normally show small within-subject biological variation resulting in strict analytical goals, which in most cases are difficult to meet. Nevertheless, we still need further information on biological variation of immunoglobulins and sFLC in patients with PCD and in the elderly, which are the main target populations for the two measurands. Furthermore, to improve data on biological variation of immunoglobulins and sFLC, studies accounting for number of individuals, samples, and replicates, as well as time length of the studies are needed.

[Determination of light chains in serum]. / Bestemmelse af lette kaeder i serum.

Free light chains of the immunoglobulin are identical to the Bence Jones protein. In 2001, a commercially available assay for the measurement of free light chains in serum (sFLC) became available (FreeLite Free Kappa & Free Lambda assay). Evidence from the use of the sFLC analysis is rapidly building, and the analysis is a potentially powerful supplement to the diagnostic tools already used in the diagnosis and monitoring of patients with monoclonal plasma cell disorders. However, there are several unsolved aspects for the use of this analysis which must be considered before sFLC can be used optimally in a daily clinical setting.