Aim: To investigate the relationship between micro-lymphatic vessel density (MLVD) and lymphatic metastasis in follicular thyroid carcinoma (FTC).
Methods: MLVD and micro-vascular density (MVD) were determined and counted by Envision immunohistochemistry using D2-40 and CD34 monoclonal antibodies in 35 specimens of follicular thyroid carcinoma(FTC)and 20 of nodular goiter. The relationship between MLVD and lymphatic metastasis was analyzed.
Results: MLVD and MVD in follicular thyroid carcinoma were closely related with lymphatic metastasis. At the same time, the cancer embolus in the micro-lymphatic vessel was significantly related with the lymphatic metastasis (P<0.01).
Conclusion: The metastasis process of follicular thyroid carcinoma (FTC) is associated with the formation of the micro-lymphatic vessel and micro-vascular. Inhibition of the lymphatics formation may be a potential therapeutic maneuver for thyroid neoplasms in the future.
Download full-text PDF |
Source |
---|
Anticancer Drugs
January 2025
Department of Oncology, Lianyungang Clinical College of Nanjing Medical University/The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu Province, China.
Triple-negative breast cancer (TNBC) is highly prone to early relapse and metastasis following standard treatment. CXCL8 is a key factor in tumor invasion and metastasis, but its role in TNBC prognosis and clinicopathological correlations remains poorly understood. This study investigated CXCL8 expression and its clinical significance in TNBC to develop a prognostic nomogram for guiding intensive treatment and follow-up strategies.
View Article and Find Full Text PDFHum Cell
January 2025
Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, Narayana Health, Bangalore, India.
The study explores the development and characterization of lymph node stromal cell cultures (LNSCs) from patients with oral squamous cell carcinoma (OSCC), highlighting the importance of understanding tumor-node cross-talk for effective prognostic and therapeutic interventions. Herein, we describe the development and characterization of primary lymph node stromal cells (LNSCs, N = 14) from nodes of metastatic and non-metastatic OSCC patients. Primary cultures were established by the explant method from positive (N + ; N = 2), and negative nodes (N0; N = 4) of the metastatic patients (N = 3) as well as negative (N0; N = 8) nodes from non-metastatic (N = 4) patients.
View Article and Find Full Text PDFAim: Lymph node metastasis is an adverse prognostic factor in pancreatic ductal adenocarcinoma. However, it remains a challenge to predict lymph node metastasis using preoperative imaging alone. We used machine learning (combining preoperative imaging findings, tumor markers, and clinical information) to create a novel prediction model for lymph node metastasis in resectable pancreatic ductal adenocarcinoma.
View Article and Find Full Text PDFBackground: Recent studies have focused on evaluating the biomarker value of textural features in radiological images. Our study investigated whether or not a texture analysis of computed tomographic colonography (CTC) images could be a novel biomarker for colorectal cancer (CRC).
Methods: This retrospective study investigated 263 patients with CRC who underwent contrast-enhanced CTC (CE-CTC) before curative surgery between January 2014 and December 2017.
Front Immunol
January 2025
Department of Colorectal Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Background: This study aimed to investigate the prognostic significance of the log odds of negative lymph nodes/T stage ratio (LONT) and develop an efficient prognostic staging system using LONT in patients with colon mucinous adenocarcinoma (MAC).
Methods: This study included 5,236 patients diagnosed with colon MAC obtained from the Surveillance, Epidemiology, and End Results database. The Kaplan-Meier method, subgroup analysis, receiver operating characteristic (ROC) curve, and Cox proportional hazard regression model were used to determine the clinical outcomes.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!