[Classification of XXXX by laser micro-dissection and mass spectrometry based proteomic analysis].

@entity1 @entity527 @entity2783 @entity15053 @entity11728 @entity406 @entity1582 @entity982 @entity3917 @entity15
OBJECTIVE: To establish a novel method to determine specific type of @entity2783 through laser microdissection and mass spectrometry ( @entity15053 / @entity15 ) based proteomic analysis. METHODS: There were 138 @entity406 -fixed and @entity982 -embedded (FFPE) biopsy samples of @entity1 who were diagnosed as @entity1582 used in this study. For each case, a 10  m section stained with congo-red and positive @entity527 were identified under fluorescent light, followed by micro-dissection and mass spectrometry analysis. The @entity2783 subtype was confirmed based on the most abundant amyloid protein. RESULTS: The tissue types of 138 specimens were as following: subcutaneous abdominal fat accounted for 26%, tongue for 19%, gingiva for 11%, kidney for 9%, intestine for 9%, heart for 6% and others for 20%. Specific types of amyloid were accurately detected in 121 cases, including 106 (87.6%) @entity3917 ( @entity3917 ) type, 7 (5.8%) amyloid trans-thy-retin (ATTR), 2 (1.7%) amyloidogenic protein A (AA), 2 (1.7%) @entity11728 ( @entity11728 )/ @entity3917 + @entity11728 , 2 (1.7%) fibrinogen alpha chain (AFib), 1(0.8%) amyloid apolipoprotein A-type II (AApoA-II) and one (0.8%) amyloid lysozyme (ALys). Diagnosis of @entity2783 was excluded in 5 cases. The types of twelve cases were indeterminate by @entity15053 / @entity15 . On the whole, @entity15053 / @entity15 reached 91.3% accuracy rate in amyloid typing. Commonly involved organs (for example, heart, kidney and liver) turned out to be suitable sources of FFPE samples with typing success rate of almost 100%. In contrast, @entity15 analysis was successful in only 83.3% of subcutaneous abdominal fat samples. CONCLUSION: @entity15053 / @entity15 method provided a more direct technique for accurate typing of @entity2783 in a single procedure.
