This article presents the joint results of two Swedish case-control studies regarding occupational exposure and female papillary thyroid cancer. Questionnaires inquiring about lifetime occupations and specific occupational exposures were mailed to cases and controls, aged 20 to 70 years. Some 185 female papillary or mixed cancer cases and 426 female controls were included in the analysis. Increased risks were seen for women who had worked as a dentist/dental assistant, teacher, shoemaker, or warehouse worker. In addition, occupational contacts with undefined chemicals, x-rays, or video display terminals were indicated as risk factors.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/00043764-199503000-00004 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Telitacicept for systemic lupus erythematosus with post‑surgical papillary thyroid carcinoma: A case report.
Biomed Rep
March 2025
Department of Rheumatology and Immunology, People's Hospital of Longhua, Shenzhen, Guangdong 518109, P.R. China.
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with a complex etiology primarily linked to abnormalities in B lymphocytes within the human body, resulting in the production of numerous pathogenic autoantibodies. Telitacicept is a relatively novel humanized, recombinant transmembrane activator, calcium modulator and cyclophilin ligand interactor fused with the Fc portion (TACI-Fc). It works by competitively inhibiting the TACI site, neutralizing the activity of B-cell lymphocyte stimulator and A proliferation-inducing ligand.
View Article and Find Full Text PDFComparison of clinicopathological characteristics and prognosis between primary squamous cell carcinoma of the thyroid and squamous cell carcinoma combined with papillary thyroid carcinoma.
Front Endocrinol (Lausanne)
January 2025
Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Background: Primary squamous cell carcinoma of the thyroid (PSCCT) has recently been reclassified as a morphologic pattern of anaplastic thyroid carcinoma (ATC). Consequently, PSCCT and squamous cell carcinoma with papillary thyroid carcinoma (SCC-PTC) were categorized as ATC. However, in terms of clinical characteristics and overall prognosis, whether PSCCT is similar to SCC-PTC has yet to be sufficiently investigated.
View Article and Find Full Text PDFImmunohistochemical Expression of HBME-1 in a Spectrum of Thyroid Neoplasms.
Indian J Endocrinol Metab
October 2024
Department of Pathology, MGM Medical College, Navi Mumbai, Maharashtra, India.
Introduction: Thyroid neoplasms are the most common malignancy of the endocrine system, representing 3.8% of new cancer cases, and it is the ninth most common cancer overall. The immuno-histochemical marker Hector Battifora Mesotheilial-1 (HBME-1) is a monoclonal antibody that now finds its diagnostic utility as a positive marker for well-differentiated thyroid carcinomas.
View Article and Find Full Text PDFPretreatment level of circulating tumor cells is associated with lymph node metastasis in papillary thyroid carcinoma patients with ≤ 55 years old.
World J Surg Oncol
January 2025
Department of Thyroid Surgery, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China.
Objective: To investigate the relationship of pretreatment of circulating tumor cells (CTCs) and cervical lymph node metastasis (LNM) (central LNM (CLNM) and lateral LNM (LLNM)) in papillary thyroid carcinoma (PTC) patients with ≤ 55 years old.
Methods: Clinicopathological data (CTCs level, Hashimoto's thyroiditis, thyroid function, multifocal, tumor size, invaded capsule, clinical stage, and LNM) of 588 PTC patients with ≤ 55 years old were retrospectively collected. The relationship of CLNM, LLNM and the clinical features of patients was analyzed.
Fully automated segmentation and classification of renal tumors on CT scans via machine learning.
BMC Cancer
January 2025
Department of Urology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Background: To develop and test the performance of a fully automated system for classifying renal tumor subtypes via deep machine learning for automated segmentation and classification.
Materials And Methods: The model was developed using computed tomography (CT) images of pathologically proven renal tumors collected from a prospective cohort at a medical center between March 2016 and December 2020. A total of 561 renal tumors were included: 233 clear cell renal cell carcinomas (RCCs), 82 papillary RCCs, 74 chromophobe RCCs, and 172 angiomyolipomas.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!