The diagnostic utility of myositis autoantibody testing for predicting the risk of cancer-associated myositis

• DOI: 10.1136/ard.2006.068502
• Publication Date: 2007-03-29T00:33:22Z
• Authors: Hector Chinoy; Noreen Fertig; Chester V Oddis; William E R Ollier; Robert G Cooper
• Keywords: Adult; Male; Adolescent; PROTEIN; DERMATOMYOSITIS; Risk Assessment; Sensitivity and Specificity; CLASSIFICATION; DISEASE; Dermatomyositis; 03 medical and health sciences; 0302 clinical medicine; 155/140; IDIOPATHIC INFLAMMATORY MYOPATHIES; Neoplasms; Humans; COHORT; SYSTEMIC-LUPUS-ERYTHEMATOSUS; Connective Tissue Diseases; Aged; Autoantibodies; MALIGNANCY; REVISED CRITERIA; Myositis; PROFILES; Middle Aged; CANCER; Polymyositis; 3. Good health; Cross-Sectional Studies; POLYMYOSITIS; Female; TRANSCRIPTION INTERMEDIARY FACTOR 1

<h3>Objectives:</h3> There is a known association between myositis and cancer. The risk greater in dermatomyositis (DM) than polymyositis (PM), although reliable methods to predict cancer specific patients with are not presently available. This study was undertaken determine whether of developing can be predicted by antibody profiling. <h3>Methods:</h3> A cross-sectional UK Caucasian adults PM (n = 109), DM 103) connective tissue disease overlap (myositis/CTD-overlap, n 70). Patients were tested for comprehensive range myositis-specific/associated autoantibodies. Sensitivity specificity analyses performed the optimal identification risk. <h3>Results:</h3> Sixteen had cancer-associated (CAM) (15 DM, 1 myositis/CTD-overlap). CAM older at onset, without autoantibodies on "routine" laboratory testing (negative anti-Jo-1, anti-PM-Scl, anti-U1-RNP, anti-U3-RNP, anti-Ku antibodies) significantly increased CAM. Possession against 155 kDa 140 protein specificities (anti-155/140 antibody) represented significant factor CAM, found exclusively DM. positive anti-155/140 result proved highly specific, moderately sensitive, high negative predictive value "negative routine panel" combination these two approaches 94% detecting 15 16 100% sensitivity <h3>Conclusions:</h3> These results may help clinicians which cancer, thus identifying those requiring aggressive diagnostic evaluation intensive surveillance onset follow-up.