Background: With a median survival of ⟨22 months esophageal cancer is one of the most aggressive tumors, up to 20% of node negative patients develop systemic relapse. Studies investigating the prognostic impact of tumor-micro-invasion in blood (AI) and lymphatic vessels (LVI) as well as perineural invasion (PNI) have shown inconsistent results. The aim of the present study was to investigate the prognostic value of the aforementioned factors in a large homogenously treated cohort of patients with esophageal cancer.
Methods: Data from 695 patients with surgically treated esophageal cancer were analyzed. AI, LVI and PNI were determined and data were statistically correlated with clinico-pathological parameters and survival of the patients.
Results: Thirteen percent of all specimens showed an AI, 35% a LVI and 5% a PNI. The invasion factors were mostly significantly correlated with the established prognostic parameter, including bone marrow micro-metastases. Kaplan-Meier analysis revealed a prognostic impact for LVI in both cancer subtypes, while AI and PNI were significant factors in adenocarcinoma only. In multivariate analysis, none showed statistical significance. However, sub-analysis of completely resected, node negative and non-metastasized patients showed a significant prognostic impact of LVI.
Conclusion: The prognostic significance of AI, LVI and PNI seems to be limited compared to the established prognostic parameters of the UICC staging system. In completely resected, node negative and non-metastasized patients, LVI is an independent prognostic parameter for a worse outcome. Those patients might benfit from additional treatment or more intensive follow up.
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http://dx.doi.org/10.14670/HH-29.1467 | DOI Listing |
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
Biochem Genet
January 2025
Department of Rheumatology and Immunology, Jingmen People's Hospital, JingChu University of Technology Affiliated Jingmen People's Hospital, No.39 Xiangshan Road Dongbao Zone, Jingmen, 448000, China.
Breast invasive carcinoma (BRCA) affects women worldwide, and despite advancements in diagnosis, prevention, and treatment, outcomes remain suboptimal. TNIP1, a novel target involved in multiple immune signaling pathways, influences tumor development and survival. However, the connection between BRCA and TNIP1 remains unclear.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.
This study aimed to identify clinical characteristics and develop a prognostic model for non-neutropenic patients with invasive pulmonary aspergillosis (IPA). A retrospective analysis of 151 IPA patients was conducted, with patients categorized into survival (n = 117) and death (n = 34) groups. Clinical data, including demographics, laboratory tests, and imaging, were collected.
View Article and Find Full Text PDFIntern Emerg Med
January 2025
Department of Intensive Care Unit, General Hospital of Southern Theatre Command of PLA, Guangzhou, China.
Multi-trauma presents significant challenges due to the complexity of injuries and high mortality rates. Early identification and intervention are crucial for improving outcomes in these critically injured patients. This retrospective study analyzed clinical data from multi-trauma patients admitted to the emergency department of Huiyang Sanhe Hospital between January 10, 2020, and September 30, 2022.
View Article and Find Full Text PDFJ Oral Pathol Med
January 2025
The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu Province, China.
Background: It has been observed that methyltransferases-like 5 (METTL5) is a key mediator underlying tumorigenesis in humans. This study aimed to investigate the biological function, expression pattern, and clinical significance of METTL5 in oral squamous cell carcinoma (OSCC).
Methods: Bioinformatics interrogations and immunohistochemical staining were utilized for determining the expression and localization of METTL5 in OSCC, and revealing the relationship between the expression of METTL5 and prognosis.
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