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Published on: October 31, 2025
Paraneoplastic myalgias and myositis.
Rohit Aggarwal1, Chester V Oddis
1Division of Rheumatology and Clinical Immunology, University of Pittsburgh, 3601 5th Avenue, Suite 2B, 243, Pittsburgh, PA 15213, USA. aggarwalr@upmc.edu
Paraneoplastic myopathies, like dermatomyositis (DM) and polymyositis (PM), significantly increase cancer risk, often within a year of diagnosis. Early cancer screening and specific autoantibody profiles aid in managing these conditions.
Area of Science:
- Neurology
- Oncology
- Immunology
Background:
- Paraneoplastic myopathies (PMs) are rare disorders where muscle inflammation is associated with an underlying cancer.
- Dermatomyositis (DM) carries a very high cancer risk, while polymyositis (PM) has a mildly increased risk.
- The onset of myositis often precedes cancer diagnosis by up to one year, with elevated risk persisting for five years.
Purpose of the Study:
- To summarize key observations regarding paraneoplastic myopathies and their association with cancer.
- To highlight clinical features, screening strategies, and autoantibody associations in cancer-associated myositis (CAM).
Main Methods:
- Review of clinical observations and literature on paraneoplastic myopathies.
- Analysis of cancer types associated with DM and PM.
- Correlation of clinical features and autoantibodies with CAM risk.
Main Results:
- DM is linked to adenocarcinomas (lung, ovarian, etc.) and lymphoma; PM is strongly associated with lymphoma.
- Clinical presentation of myopathy often mirrors cancer progression; severe symptoms like muscle weakness and dysphagia indicate CAM.
- Specific autoantibodies (e.g., anti-p155) increase CAM risk, while others (antisynthetase) decrease it.
Conclusions:
- Cancer screening for PMs should be tailored to patient demographics and risk factors, potentially including advanced imaging.
- Understanding the link between myositis and antitumor immune responses may elucidate CAM pathogenesis.
- Early detection and management of paraneoplastic myopathies are crucial for improved patient outcomes.
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