Background: Insulinoma-associated protein 1 (INSM1) has recently emerged as a reliable nuclear immunostaining marker for detecting neuroendocrine tumors (NETs) in paraffin-embedded surgical samples and cytologic cell blocks, but the reliability of INSM1 staining on cytologic smears is understudied. This study investigated the performance of INSM1 staining on cytologic smears for the detection of various NETs in comparison with chromogranin (CG) and synaptophysin (SYN).
Methods: INSM1, CG, and SYN were stained on cytologic smears of 70 NETs, including 20 pancreatic NETs, 10 lung carcinoid tumors, 11 small cell lung carcinomas (SCLCs), 10 medullary thyroid carcinomas, 10 Merkel cell carcinomas, 4 thymic atypical carcinoid tumors, and 5 olfactory neuroblastomas. The detection rate, the percentage of positive cells, and the staining intensity were recorded.
Results: The overall detection rate of INSM1 (94%) was higher than the rates of CG (79%) and SYN (89%). The detection rate of INSM1 was higher than the rates of CG and SYN in SCLC, Merkel cell carcinoma, and olfactory neuroblastoma; higher than the rate of CG and equal to the rate of SYN in pancreatic NETs and medullary thyroid carcinoma; equal to the rate of CG and higher than the rate of SYN in thymic atypical carcinoid tumors; and equal to the rate of CG and lower than the rate of SYN in lung carcinoid tumors. INSM1 staining was easier to interpret than CG and SYN staining, especially in high-grade NETs.
Conclusions: INSM1 can be reliably stained on cytologic smears and outperforms CG and SYN in the verification of clinically or radiologically suspected NETs.
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http://dx.doi.org/10.1002/cncy.22310 | DOI Listing |
Contemp Clin Dent
December 2024
Department of Oral Pathology and Microbiology, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, Uttar Pradesh, India.
Introduction: Ninety-five percent ethanol is the routinely used and standard cytological fixative. However, commercially available ethanol is expensive and not freely available in some institutions. There is always a search for an ideal alternative.
View Article and Find Full Text PDFTransplantation
January 2025
Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Background: Female recipients of allogeneic hematopoietic stem cell transplantation are at high risk of developing human papillomavirus (HPV)-associated lesions and (pre)cancer. We describe the results of a cervical cancer screening program in these women.
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Front Oncol
January 2025
AO Vector-Best, Novosibirsk, Russia.
Background: Cervical screening, aimed at detecting precancerous lesions and preventing cancer, is based on cytology and HPV testing. Both methods have limitations, the main ones being the variable diagnostic sensitivity of cytology and the moderate specificity of HPV testing. Various molecular biomarkers are proposed in recent years to improve cervical cancer management, including a number of mRNAs encoded by human genes involved in carcinogenesis.
View Article and Find Full Text PDFParasit Vectors
January 2025
Department for Companion Animals and Horses, University Hospital for Small Animals, University of Veterinary Medicine Vienna, Vienna, Austria.
Background: Opisthorchis felineus is a feline pathogen with zoonotic potential that can be a causative agent of human opisthorchiasis and cholangiocarcinoma. In Europe, O. felineus is particularly endemic in Eastern European countries, while this parasite has also been sporadically detected in Germany, Italy and northern Poland.
View Article and Find Full Text PDFEClinicalMedicine
February 2025
Department of Obstetrics and Gynecology, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, 310013, China.
Background: Cervical cytology screening and colposcopy play crucial roles in cervical intraepithelial neoplasia (CIN) and cervical cancer prevention. Previous studies have provided evidence that artificial intelligence (AI) has remarkable diagnostic accuracy in these procedures. With this systematic review and meta-analysis, we aimed to examine the pooled accuracy, sensitivity, and specificity of AI-assisted cervical cytology screening and colposcopy for cervical intraepithelial neoplasia and cervical cancer screening.
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