Amyloidosis is caused by deposition in tissues of abnormal protein in a characteristic fibrillar form. There are many types of amyloidosis, classified according to the soluble protein precursor from which the amyloid fibrils are derived. Accurate identification of amyloid type is critical in every case since therapy for systemic amyloidosis is type specific. In ∼20–25% cases, however, immunohistochemistry (IHC) fails to prove the amyloid type and further tests are required. Laser microdissection and mass spectrometry (LDMS) is a powerful tool for identifying proteins from formalin-fixed paraffin-embedded tissues. We undertook a blinded comparison of IHC, performed at the UK National Amyloidosis Centre, and LDMS, performed at the Mayo Clinic, in 142 consecutive biopsy specimens from 38 different tissue types. There was 100% concordance between positive IHC and LDMS, and the latter increased diagnostic accuracy from 76% to 94%. LDMS in expert hands is a valuable tool for amyloid diagnosis.
Clinical Proteome Informatics Workbench Detects Pathogenic Mutations in Hereditary Amyloidoses
Journal of Proteome Research | March 21, 2014 | Volume: 13 | Issue: 5 | Pages: 2352-2358
Gene expression profiling of pulmonary mucosa-associated lymphoid tissue lymphoma identifies new biologic insights with potential diagnostic and therapeutic applications
Abstract We conducted comprehensive gene expression profiling (GEP) of primary pulmonary mucosa-associated lymphoid tissue (MALT) lymphoma (n = 33) and compared the results to GEP of other B- and T-cell lymphomas and normal lymphocytes to identify novel markers and deregulated pathways. MALT has a prominent T-cell signature and a marginal zone/memory B-cell profile. Four novel transcripts were specifically overexpressed in MALT, and 2 of these, MMP7 and SIGLEC6, were validated at the protein level. GEP also revealed distinct molecular subsets in MALT. One subset, characterized by MALT1 translocations, showed overexpression of nuclear factor-κB (NF-KB) pathway genes but also was enriched for chemokine signaling pathways. Another subset showed increased plasma cells and a prominent plasma cell gene signature. By analyzing several genes with very high (“spiked”) expression in individual cases, we identified clusters with different biologic characteristics, such as samples with MALT1 translocations having high expression of MALT1 and RARA, samples with plasmacytic differentiation having high FKBP11 expression, and samples with high RGS13 expression tending to have trisomy 3 and reactive follicles. In conclusion, MALT subgroups with distinct pathologic features defined by distinct groups of deregulated genes were identified. These genes could represent novel diagnostic and therapeutic targets.