Cociente ganglionar como factor pronóstico de recurrencia tumoral en pacientes con carcinoma escamoso de cavidad oral.

Cir Cir

Investigación Clínica. Unidad Médica de Alta Especialidad No. 25, Instituto Mexicano del Seguro Social, Monterrey, Nuevo León, México.

Published: September 2021

Background: The lymph node ratio (LNR) is a recent tool, but its predictive value for recurrence is uncertain.

Objective: To evaluate LNR as a prognostic factor for disease-free survival (DFS) in patients with oral squamous cell carcinoma.

Method: Retrospective observational study. Patients with oral squamous cell carcinoma undergoing resection and lymph node dissection. Chi squared, Kaplan-Meier, log rank and Cox regression tests were run; bilateral p ≤ 0.05 determined statistical significance.

Results: 88 patients were included, 45% (n = 40) men and 54% (n = 48) women, mean age of 60.42 (± 14.28) years. Main tumor location in tongue (75%); 61% in clinical stage I-III and 39% in clinical stage IV. Population was divided into LNR < 0.06 (58%) and LNR ≥ 0.06 (42%). The median DFS was not reached for both groups (p = 0.018). Predictors of DFS were the LNR (p = 0.024; hazard ratio [HR]: 2.20; confidence interval of 95% [95% CI]: 1.11-4.39) and the clinical stage (p = 0.004; HR: 1.76; 95% CI: 1.19-2.59). In the multivariate analysis, predictors were not maintained (p = 0.227 and 0.191, respectively).

Conclusions: Significant differences were observed in the DFS analysis, however, they were not predictive of local recurrence in the multivariate analysis.

Download full-text PDF

Source
http://dx.doi.org/10.24875/CIRU.18000921DOI Listing

Publication Analysis

Top Keywords

clinical stage
12
lymph node
8
patients oral
8
oral squamous
8
squamous cell
8
multivariate analysis
8
lnr
5
cociente ganglionar
4
ganglionar como
4
como factor
4

Similar Publications

Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.

View Article and Find Full Text PDF

Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).

Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.

View Article and Find Full Text PDF

Background: Despite the recent steep rise in the use of prepectoral direct-to-implant (DTI) breast reconstruction, concerns remain regarding the potentially risk of complications, resulting in the selective application of the technique; however, the selection process was empirically based on the operator's decision. Using patient and operation-related factors, this study aimed to develop a nomogram for predicting postoperative complications following prepectoral DTI reconstruction.

Methods: Between August 2019 and March 2023, immediate prepectoral DTI was performed for all patients deemed suitable for one-stage implant-based reconstruction.

View Article and Find Full Text PDF

Purpose: Less than 5% of GI stromal tumors (GISTs) are driven by the loss of the succinate dehydrogenase (SDH) complex, resulting in a pervasive DNA hypermethylation pattern that leads to unique clinical features. Advanced SDH-deficient GISTs are usually treated with the same therapies targeting KIT and PDGFRA receptors as those used in metastatic GIST. However, these treatments display less activity in the absence of alternative therapeutic options.

View Article and Find Full Text PDF

Purpose: The demographic transition toward aging heralds an increase in the number of geriatric patients with cancer in India. Comprehensive geriatric assessment (CGA) is a sine qua non for treatment planning and shared decision making in these patients. We aimed to study the prevalence of malnutrition and the associated risk factors in geriatric patients with solid organ cancer.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!