AI Article Synopsis
- The study investigates the use of novel immunomarkers, specifically IFITM1, CD10, SMA, and h-caldesmon, to differentiate between endometrial stromal tumors (EST) and uterine cellular leiomyomas (CL), which can be clinically challenging.
- Tissue samples from 63 cases showed that IFITM1 and CD10 were more prevalent in EST, while h-caldesmon and SMA were more prevalent in CL, suggesting distinct marker profiles for each condition.
- Combining these immunomarkers resulted in high diagnostic accuracy, with the best combination for diagnosing EST being IFITM1 or CD10 positive and h-caldesmon negative, while for CL it was h
Article Abstract
Background: The differential diagnosis of endometrial stromal tumor (EST) and uterine cellular leiomyoma (CL) remains a challenge in clinical practice, especially low grade endometrial stromal sarcoma (ESS) and CL, suggesting the need for novel immunomarkers panels for differential diagnosis. Interferon-induced transmembrane protein 1 (IFITM1) is a novel immunomarker for endometrial stromal cells, h-caldesmon is an immunomarker for smooth muscle cells and has a higher specificity than smooth muscle actin (SMA). So this study aimed to evaluate whether IFITM1, cluster of differentiation 10(CD10), SMA, and h-caldesmon are useful biomarker combinations for the differential diagnosis of EST and CL.
Methods: Tissue microarrays were used to detect IFITM1, CD10, SMA, and h-caldesmon immunohistochemical staining in 30 EST and 33 CL cases.
Results: The expressions of IFITM1 and CD10 were high in EST (86.7 and 63.3%, respectively) but low in CL (18.2 and 21.2%), whereas those of h-caldesmon and SMA were high in CL (87.9 and 100%) and low in EST (6.9 and 40%). In diagnosing EST, IFITM1 shows better sensitivity and specificity (86.7 and 81.8%, respectively) than CD10 (63.3 and 78.8%). The specificity of h-caldesmon in diagnosing CL was significantly higher (93.1%) than that of SMA (60%). When all four antibodies were combined for the differential diagnosis, the area-under-the-curve (AUC) predictive value was 0.995. The best combination for diagnosing EST was IFITM1 (+) or CD10 (+) and h-caldesmon (-) (sensitivity 86.7%, specificity 93.9%).
Conclusion: The best combination for diagnosing CL were h-caldesmon (+) and SMA (+) (sensitivity 87.9%, specificity 100%). IFITM1, CD10, SMA, and h-caldesmon are a good combination for the differential diagnosis of EST and CL.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461929 | PMC |
| http://dx.doi.org/10.1186/s12885-021-08781-w | DOI Listing |
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