A Novel Tool for Predicting Malignant Disease in Adult Patients With Dermatomyositis

How can clinicians efficiently identify adult patients with dermatomyositis (DM) with a high likelihood of concomitant cancer?In this cohort study of 546 adults with DM or clinically amyopathic DM, 5 factors significantly associated with concomitant cancers, including anti–transcriptional intermediary factor 1-γ antibody, interstitial lung disease, poikiloderma, DM subtype, and anemia, were identified and used to construct the TIP-CA predictive model, which demonstrated strong performance, with high scores (4-5) indicating a markedly elevated probability of cancer.This clinician-friendly tool, integrating multidisciplinary cohorts and applying machine learning, enhanced association-based cancer screening and its generalizability across diverse clinical settings, potentially improving early detection and outcomes in patients with DM.

Corresponding Authors: Hua Cao, MD, PhD, Department of Dermatology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui Jin 2nd Rd, Shanghai 200025, China (drcaohua@126.com); Shuang Ye, MD, PhD, Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 2000 Jiang Yue Rd, Shanghai 201112, China (ye_shuang2000@163.com).

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