Introduction And Objective: Regional lymph node metastases (LNM) are a common finding in papillary thyroid cancer (PTC). Approximately half of patients have LNM at diagnosis. The aim of this study was to analyze immunohistochemically the combined expression of different PTC-related molecules in order to identify cases with a tendency to show LNM.
Patients And Methods: Thirty-five patients were included in the study. The patients were distributed in two groups. Group I included 19 patients with no histological evidence of LNM at diagnosis. Group II included 16 patients with histological evidence of cervical LNM. Samples were stained for RET/PTC, EGFR, p16(INk4a), p21(cip1), p27(kip1), BCL2, and pAKT.
Results: Expression of p21(cip1), p27(kip1), p16(INk4a), Bcl-2, and pAKT showed no differences between the two groups. However, RET/PTC and EGFR expression showed significant differences: in both cases, staining was more frequent in patients with LNM. Simultaneous positivity of RET/PTC and EGFR was a discriminative marker in patients with LNM. Finally, the combination of RET/PTC negative, EGFR negative and p16(INk4a) negative was found in none of the patients with LNM but in nearly half of those in group I.
Conclusions: Immunohistochemical analysis of several molecular markers could be useful in the phenotypic characterization of PTC. Application of these markers could enhance diagnosis and improve the management of patients with thyroid cancer.
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http://dx.doi.org/10.1016/j.endonu.2010.02.005 | DOI Listing |
J Clin Med
December 2024
Radiation Oncology Department, Osakidetza, Donostia University Hospital, 20014 San Sebastian, Spain.
(1) : Salivary gland tumors (SGTs) are a rare and diverse group of neoplasms arising in the parotid, submandibular, sublingual, and minor salivary glands distributed throughout the upper aerodigestive tract. Given the rarity and complexity of MSGTs, understanding their epidemiology across diverse populations is crucial for improving diagnostic and therapeutic strategies. (2) : A retrospective analysis involving 45 patients diagnosed with malignant salivary gland tumors and treated with curative intention between 1 July 2016 and 1 July 2021 in a tertiary academic hospital was performed.
View Article and Find Full Text PDFJ Cancer Res Ther
December 2024
Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Background: Endoscopic submucosal dissection (ESD) is a standardized procedure for intramucosal and slightly invasive submucosal colorectal cancers (CRC). However, the role of ESD for T1b (depth of submucosal invasion: ≥1,000 μm) CRC remains unclear. This study aimed to investigate the long-term efficacy and safety of ESD for T1b CRC.
View Article and Find Full Text PDFWorld J Urol
January 2025
Department of Urology, Renmin Hospital of Wuhan University, 99 Zhang Zhi-dong Road, Wuhan, Hubei, 430060, P.R. China.
Purpose: To develop a deep learning (DL) model based on primary tumor tissue to predict the lymph node metastasis (LNM) status of muscle invasive bladder cancer (MIBC), while validating the prognostic value of the predicted aiN score in MIBC patients.
Methods: A total of 323 patients from The Cancer Genome Atlas (TCGA) were used as the training and internal validation set, with image features extracted using a visual encoder called UNI. We investigated the ability to predict LNM status while assessing the prognostic value of aiN score.
Surg Endosc
January 2025
Department of Gastrointestinal Surgery, Northern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, 98 Nantong West Road, Yangzhou, 225001, Jiangsu, China.
Background: The treatment of early gastric cancer (EGC) is contingent upon the status of lymph node metastasis (LNM). Accurate preoperative prediction of LNM is critical for reducing unnecessary surgeries. This study seeks to evaluate the risk factors for LNM in submucosal EGC and develop a predictive model to optimize therapeutic decision-making.
View Article and Find Full Text PDFGut Liver
January 2025
Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Background/aims: Inaccurate prediction of lymph node metastasis (LNM) may lead to unnecessary surgery following endoscopic resection of T1 colorectal cancer (CRC). We aimed to validate the usefulness of artificial intelligence (AI) models for predicting LNM in patients with T1 CRC.
Methods: We analyzed the clinical data, laboratory results, pathological reports, and endoscopic findings of patients who underwent radical surgery for T1 CRC.
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