Introduction: Thyroid cytopathology cases with suspicious for malignancy (SFM) diagnosis often result in resection. However, molecular testing offers details that may provide additional insights. In this study, the molecular profiles of SFM cases from two institutions that routinely used ThyroSeq v3 (TSV3) were examined.
Materials And Methods: Following institutional review board approval, SFM thyroid cytopathology cases with TSV3 results were retrieved from the databases of two institutions. Molecular information including molecular-derived risk of malignancy (MDROM), cytologic-histologic correlation data, and other related parameters were calculated. Statistical comparisons were made with a p <.05 considered significant.
Results: The core data set comprised 114 SFM cases that passed TSV3 quality assurance. All TSV3 results were reported as positive or negative for genomic alterations and all except five cases provided a probability of malignancy estimate. The overall combined baseline MDROM of 75.7% (95% CI, 70.0-81.4) was comparable to the risk of malignancy (74%) published in the Bethesda System. There was a statistically significant difference between the combined MDROMs of resected and unresected cohorts (79.0% vs 58.6%; p = .0153). Interestingly, the MDROMs of the resected cohorts from the two institutions were statistically different (75.0% vs 85.3%; p = .020). Cytologic-histologic correlation revealed malignant outcome in 88.5% of resected cases.
Conclusions: Molecular analyses of SFM cases demonstrated higher risk genomic alterations that were associated with histologically overt neoplasms, resulting in increased malignancy outcome compared to baseline. MDROM analysis revealed differences in the cytopathologic practice patterns regarding follicular-patterned neoplasms at the two institutions.
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http://dx.doi.org/10.1002/cncy.22904 | DOI Listing |
Eur Thyroid J
January 2025
Z Qiu, Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Shanghai, 200233, China.
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Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padova, Padua, Italy.
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January 2025
Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, 238 Ziyang Road, Wuhan, 430060, Hubei, People's Republic of China.
The current mortality rates for breast cancer underscore the need for better prognostic tools; moreover, LIM and calponin homology domain 1 (LIMCH1), which is a protein with dual roles in cancer, is a promising candidate for investigation. This study employed an integrative approach combining bioinformatics analysis of The Cancer Genome Atlas (TCGA) cohort and clinical immunohistochemistry (IHC) cohort data. We analysed LIMCH1 expression patterns, its associations with clinicopathological features and prognosis, and its impact on the tumour immune microenvironment (TIME).
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