Back to Search
Start Over
The IgG2 Isotype of Anti–Transcription Intermediary Factor 1γ Autoantibodies Is a Biomarker of Cancer and Mortality in Adult Dermatomyositis.
- Source :
- Arthritis & Rheumatology; Aug2019, Vol. 71 Issue 8, p1360-1370, 11p
- Publication Year :
- 2019
-
Abstract
- Objective: Anti–transcription intermediary factor 1γ (anti‐TIF1γ) antibodies are the main predictors of cancer in dermatomyositis (DM). Yet, a substantial proportion of anti‐TIF1γ–positive DM patients do not develop cancer. This study was undertaken to identify biomarkers to better evaluate the risk of cancer and mortality in DM. Methods: This multicenter study was conducted in adult anti‐TIF1γ–positive DM patients from August 2013 to August 2017. Anti‐TIF1γ autoantibody levels and IgG subclasses were identified using a newly developed quantitative immunoassay. Age, sex, DM signs and activity, malignancy, and creatine kinase (CK) level were recorded. Risk factors were determined by univariate and multivariate analysis according to a Cox proportional hazards regression model. Results: Among the 51 adult patients enrolled (mean ± SD age 61 ± 17 years; ratio of men to women 0.65), 40 (78%) had cancer and 21 (41%) died, with a mean ± SD survival time of 10 ± 6 months. Detection of anti‐TIF1γ IgG2 was significantly associated with mortality (P = 0.0011) and occurrence of cancer during follow‐up (P < 0.0001), with a 100% positive predictive value for cancer when the mean fluorescence intensity of anti‐TIF1γ IgG2 was >385. None of the patients developed cancer after 24 months of follow‐up. Univariate survival analyses showed that mortality was also associated with age >60 years (P = 0.0003), active DM (P = 0.0042), cancer (P = 0.0031), male sex (P = 0.011), and CK level >1,084 units/liter (P = 0.005). Multivariate analysis revealed that age >60 years (P = 0.015) and the presence of anti‐TIF1γ IgG2 (P = 0.048) were independently associated with mortality. Conclusion: Our findings indicate that anti‐TIF1γ IgG2 is a potential new biomarker of cancer that should be helpful in identifying the risk of mortality in anti‐TIF1γ–positive DM patients. [ABSTRACT FROM AUTHOR]
- Subjects :
- TUMOR diagnosis
TUMOR risk factors
MORTALITY risk factors
AGE distribution
AUTOANTIBODIES
BIOMARKERS
CREATINE kinase
DERMATOMYOSITIS
IMMUNOASSAY
IMMUNOGLOBULINS
MEDICAL cooperation
MULTIVARIATE analysis
RESEARCH
RISK assessment
SEX distribution
STATISTICS
TRANSCRIPTION factors
SYMPTOMS
PREDICTIVE tests
PROPORTIONAL hazards models
DISEASE complications
Subjects
Details
- Language :
- English
- ISSN :
- 23265191
- Volume :
- 71
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- Arthritis & Rheumatology
- Publication Type :
- Academic Journal
- Accession number :
- 137772176
- Full Text :
- https://doi.org/10.1002/art.40895