Emerging PD-1 and PD-1L inhibitors-associated myopathy with a characteristic histopathological pattern.

BACKGROUND AND OBJECTIVE: Drug-induced myopathy is among the most common causes of muscle disease. An association has recently been described between programmed death-1 (PD-1)/PD-1 ligand (PD-L1) inhibitors and immune-related adverse events (irAE) affecting the muscle. Here, we report the clinical and pathological findings of nine unrelated patients with PD-1 and PD-L1 inhibitors-associated myopathy. METHODS: We retrospectively analyzed 317 muscle biopsies performed for diagnostic purposes from January 2017 to June 2019. Patients were attended in two tertiary centers and muscle biopsies were performed and analyzed by two myology experts. Muscle biopsies were frozen in cooled isopenthane, cryostat sectioned and stained. Immunohistochemistry studies were also performed as a routine procedure in our lab. RESULTS: We identified 9 patients receiving anti-PD-1 or PD-L1 inhibitors consulting for either muscle weakness, asthenia, myasthenic-like syndrome or other muscle related-symptoms, along with biopsy-proven inflammatory myopathy. One had concomitant myocarditis. In most of the cases muscle biopsy showed a marked phenomenon of necrosis, macrophagy and muscle regeneration with perivascular inflammatory infiltrates with a large component of macrophagic cells. A tendency to perifascicular atrophy was also noticed. The expression of MHC class I antigens predominated in the perifascicular zones. Raised muscle enzymes were detected in 7 patients. CONCLUSION: A characteristic clinic-pathological pattern, including a myasthenia gravis-like syndrome plus myositis was found in patients receiving PD-1 and PD-1 L inhibitors. A large component of macrophages resembling granulomas seems to be the pathological hallmark of the syndrome. Further information is required to understand the wide spectrum of immune-related adverse events involving the muscle during or after treatment with anti-PD-1 inhibitors, but the pathological picture seems to be characteristic.

Malignancy and myositis, from molecular mimicry to tumor infiltrating lymphocytes.

Cancer-associated dermatomyositis provides a unique opportunity to explore the relationship between autoimmunity and cancer. In this review, we describe the related epidemiological issues, considering the various currently accepted myositis phenotypes, their link with cancer, and the possible mechanisms leading to this relationship. We discuss current evidence regarding the role of molecular mimicry, somatic DNA tumor mutations, and the PD-1/PD-L1 pathway in the association between cancer and myositis. We also review tumor-infiltrating lymphocytes as a relevant factor to be evaluated in cancer-associated myositis, their interaction with tumor neoantigens, and the tumor mutational burden, all of which have implications for the treatment of these patients with immunotherapy. Finally, we discuss clinical scenarios related to the relationship between cancer and myositis, delineating a comprehensive theory linking autoimmunity and cancer.

Age-specific pediatric reference ranges for immunoglobulins and complement proteins on the Optilite™ automated turbidimetric analyzer.

BACKGROUND: Measurement of immunoglobulins and complement proteins are frontline tests used in the assessment of immune system integrity, and reference values can vary with age. Their measurement provides an insight into the function of the innate and adaptive immune systems. METHODS: We generated pediatric reference ranges for IgG, IgA, IgM, IgD, the IgG and IgA subclasses, and C3 and C4 using the Optilite™ turbidimetric analyzer. RESULTS: The concentrations of IgG, IgA, and IgD showed an increase with age, as expected, while IgM remained stable between the age groups. For the IgG subclasses, no significant differences were observed in IgG1 or IgG3, while IgG2 and IgG4 concentrations increased steadily with age. The concentration of IgG2 plateaued at 15-18 years, while IgG4 plateaued at 10-14 years. The trend of concentrations across all groups was IgG1 > IgG2 > IgG3 > IgG4. For both IgA1 and IgA2, concentrations increased significantly with age, plateauing at 15-18 years. The median IgA1 concentration was greater than IgA2 across all groups. There was a good correlation between the total IgG or IgA concentration and summation of their subclasses (R2  = 0.89, P < .0001, slope y = 0.98x + 14.51 mg/dL and R2  = 0.91, P < .0001, slope y = 1.35x-3.28 mg/dL, respectively). The concentration of C3 and C4 remained stable across the groups, with no significant differences observed. CONCLUSION: We have generated age-specific reference ranges in healthy children for C3, C4, IgG, IgA, IgM, IgD and the IgG and IgA subclasses using the Optilite™ turbidimetric analyzer. These ranges will help identify individuals with abnormal concentrations, thus will aid in the diagnosis of both primary and secondary immunological disorders.