The TNM-system.

Aktuelle Probl Chir

Published: October 1973

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Prognostic value of lymph node metrics in lung squamous cell carcinoma: an analysis of the SEER database.

World J Surg Oncol

December 2024

Department of Hospital Infection Management and Preventive Health Care, Zhejiang Provincial People's Hospital Bijie Hospital, Bijie, 551799, China.

Introduction: Although the Tumor-Node-Metastasis (TNM) staging system is widely used for staging lung squamous cell carcinoma (LSCC), the TNM system primarily emphasizes tumor size and metastasis, without adequately considering lymph node involvement. Consequently, incorporating lymph node metastasis as an additional prognostic factor is essential for predicting outcomes in LSCC patients.

Methods: This retrospective study included patients diagnosed with LSCC between 2004 and 2018 and was based on data from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute.

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Aim: The tumor staging of colorectal cancer (CRC) plays a significant role in both treatment and prognosis, impacting surgical planning and adjuvant therapy decisions. Currently, the staging of CRC is based on the TNM system developed by the American Joint Committee on Cancer. Prior studies have suggested that survival rates and recurrent rates of T4a tumors appear to be worse than that of T4b tumors, although there is currently no consensus.

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Objective: Lung cancer is the leading cause of cancer-related mortality. Lymph node involvement remains a crucial prognostic factor in non-small cell lung cancer (NSCLC), and the TNM system is the current standard for staging. However, it mainly considers the anatomical location of lymph nodes, neglecting the significance of node count.

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Background: The limitations of the traditional TNM system have spurred interest in multivariable models for personalized prognostication in laryngeal and hypopharyngeal cancers (LSCC/HPSCC). However, the performance of these models depends on the quality of data and modelling methodology, affecting their potential for clinical adoption. This systematic review and meta-analysis (SR-MA) evaluated clinical predictive models (CPMs) for recurrence and survival in treated LSCC/HPSCC.

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Glycosyltransferase B4GALNT1 promotes immunosuppression in hepatocellular carcinoma via the HES4-SPP1-TAM/Th2 axis.

Mol Biomed

December 2024

Human Phenome Institute, State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China.

Article Synopsis
  • The study investigates the role of β-1,4-N-acetylgalactosaminyltransferase I (B4GALNT1) in hepatocellular carcinoma (HCC) and its impact on the tumor immune microenvironment, which is not well understood.* -
  • Findings show that B4GALNT1 is abnormally upregulated in HCC, potentially serving as an independent prognostic factor and improving traditional tumor prediction methods.* -
  • Silencing B4GALNT1 was found to enhance the effectiveness of PD-1-targeted immunotherapy, indicating its significant role in remodeling tumor immunity and suggesting new approaches for HCC treatment.*
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