Except for the well-known immunoglobulin G (IgG) producing cell types, ie, mature B lymphocytes and plasma cells, various non-lymphoid cell types, including human cancer cells, neurons, and some specified epithelial cells, have been found to express IgG. In this study, we detected the expression of the heavy chain of IgG (IgGγ) and kappa light chain (Igκ) in papillary thyroid cancer cells. Using in situ hybridization, we detected the constant region of human IgG1 (IGHG1) in papillary thyroid cancer cells. With laser capture microdissection followed by RT-PCR, mRNA transcripts of IGHG1, Igκ, recombination activating gene 1 (RAG1), RAG2, and activation-induced cytidine deaminase genes were successfully amplified from isolated papillary thyroid cancer cells. We further confirmed IgG protein expression with immunohistochemistry and found that none of the IgG receptors was expressed in papillary thyroid cancer. Differences in the level of IgGγ expression between tumor size, between papillary thyroid cancer and normal thyroid tissue, as well as between papillary thyroid cancer with and without lymph node metastasis were significant. Taken together, these results indicate that IgG is produced by papillary thyroid cancer cells and that it might be positively related to the growth and metastasis of papillary thyroid cancer cells. Furthermore, it was demonstrated that IgGγ colocalized with complement proteins in the same cancer cells, which could indicate that immune complexes were formed. Such immune complexes might consist of IgG synthesized by the host against tumor surface antigens and locally produced anti-idiotypic IgG with specificity for the variable region of these 'primary' antibodies. The cancer cells might thus escape the host tumor-antigen-specific immune responses, hence promoting tumor progression.
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http://dx.doi.org/10.1038/modpathol.2011.139 | DOI Listing |
This review focuses on the latest advancements in using biomarkers to diagnose, predict outcomes, and guide the treatment of different types of thyroid cancer, such as anaplastic, papillary, medullary, and follicular thyroid carcinoma. We highlight the key role of both traditional and new biomarkers in improving the treatment of these cancers. For anaplastic thyroid cancer, biomarkers are crucial for detecting distant metastases and making treatment decisions.
View Article and Find Full Text PDFInt J Biol Sci
January 2025
Department of Thyroid and Hernia Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou City, Fujian Province 350001, China.
Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer, and patients with the BRAF mutation often exhibit aggressive tumor behavior. Here, we identified Arylsulfatase I (ARSI) as a gene whose expression was significantly upregulated in BRAF PTC and was associated with poor prognosis. High ARSI expression correlated with advanced disease stage, BRAF mutation, and worse overall survival in PTC patients.
View Article and Find Full Text PDFYonsei Med J
January 2025
Department of Surgery, Asan Medical Center, University of Ulsan Medical Center, Seoul, Korea.
Purpose: Pediatric papillary thyroid cancer (PTC) is recommended to perform aggressive surgery to reduce the risk of recurrence. This study was designed to evaluate the concurrent association between multifocality, bilaterality, and the risk of recurrence in pediatric PTC.
Materials And Methods: This retrospective cohort study included pediatric patients (age <19 years) who underwent total thyroidectomy for PTC between 1996 and 2014 in a single tertiary center.
Clin Imaging
December 2024
Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA. Electronic address:
Background: Thyroid cancer, a common endocrine malignancy, has seen increasing incidence, making lymph node metastasis (LNM) a critical factor for recurrence and survival. Radiomics and deep learning (DL) advancements offer the potential for improved LNM prediction using CT and MRI, though challenges in diagnostic accuracy remain.
Methods: A systematic review and meta-analysis were conducted per established guidelines, with searches across PubMed, Scopus, Web of Science, and Embase up to February 15, 2024.
Sci Rep
December 2024
Department of General Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China.
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