Background
This study aimed to explore the clinical implications of katanin P60 and P80 (katanin P60/P80) regarding their correlations with clinicopathological features and survival profiles in papillary thyroid carcinoma (PTC) patients.
Methods
Tumor tissue and paired adjacent tissue specimens were obtained from 172 PTC patients who underwent lobectomy or thyroidectomy. Besides, immunohistochemistry assay and immunoreactive (IR) score (multiplying staining intensity score by density score) were used to determine katanin P60/P80 expressions. According to IR score (from 0 ~ 12), katanin P60/P80 expressions were classified as low (IR score 0 ~ 3) and high (IR score 4 ~ 12) expressions.
Results
Both katanin P60/P80 expressions were highly expressed in tumor tissue compared with adjacent tissue. Besides, tumor katanin P60 expression positively correlated with tumor katanin P80 expression. Tumor katanin P60 high expression correlated with larger tumor size, extrathyroidal invasion, advanced pT stage, pN stage, and pTNM stage, while no correlation of tumor katanin P60 expression with age or gender was observed; tumor katanin P80 high expression correlated with advanced pN stage and pTNM stage, whereas there was no correlation of tumor katanin P80 expression with age, gender, tumor size, extrathyroidal invasion, or pT stage. Furthermore, both tumor katanin P60/P80 high expressions correlated with shorter accumulating disease‐free survival. As for overall survival (OS), neither tumor katanin P60 nor P80 expression correlated with OS.
Conclusion
Katanin P60/P80 measurement might assist with tumor management and prognosis surveillance in PTC patients.
Objectives Our study purpose was to detect the distribution of anti-nuclear antibody (ANA) IgG subclasses in patients with systemic lupus erythematosus (SLE) and to evaluate their influence on the inflammatory process in SLE. Methods We determined the serum levels of ANA IgG subclasses from 70 SLE patients, 25 patients with other autoimmune diseases (OAD), and 25 healthy controls using ELISA. The serum level of total ANA IgG and the avidity of ANA IgG, dsDNA IgG, and dsDNA IgG subclasses were analysed by ELISA. Results The results indicated that levels of four ANA IgG subclasses (IgG1, IgG2, IgG3 and IgG4) and total IgG were significantly higher in SLE patients than in OAD patients and healthy controls ( p < 0.001). Moreover, the level of each ANA IgG subclass and the prevalence of high-avidity IgG ANAs (HA IgG ANAs) were significantly higher in the active cases than in the inactive cases of SLE and LN. Furthermore, level of ANA IgG subclasses decreased as level of dsDNA IgG subclasses decreased in 30 patients with SLE. In comparison, ANA IgG3 was significantly effective in high-dose prednisone combined with hydroxychloroquine ( p = 0.025). Additionally, it revealed that level of dsDNA IgG had a significant influence on four ANA IgG subclasses, especially on ANA IgG3 (β coefficient = 0.649, p < 0.001). Level of ANA IgG3 was also positively related to the serum level of dsDNA IgG (r = 0.729, p < 0.001) and RAI of HA IgG ANAs (r = 0.504, p < 0.001). However, the level of ANA IgG4 was positively related to the serum level of albumin (r = 0.572, p < 0.001) and RAI of HA IgG ANAs (r = 0.549, p < 0.001). Moreover, the results revealed that cutaneous and renal involvement were mainly associated with the ANA IgG1 and IgG4 subclasses. Although, arthritic involvement was mainly associated with ANA IgG3. Conclusions First, we demonstrated that the ANA IgG subclasses were diagnostic tools in SLE patients. Furthermore, HA IgG ANAs might affect the distribution of ANA IgG3 and IgG4. Moreover, ANA IgG3 might play a particular role in the activity of SLE disease and therapy. Therefore, an altered ANA IgG subclass distribution might be a risk factor influencing the inflammatory process in SLE.
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