Lymph node ratio as prognostic variable in oral squamous cell carcinomas: Systematic review and meta-analysis
Ting Hsiang Huang1, Kar Yan Li1, Wing Shan Choi1
1Faculty of Dentistry, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Oral Oncology
|February 9, 2019
Summary
The lymph node ratio (LNR) is a significant independent prognostic factor for oral squamous cell carcinoma (OSCC). High LNR is linked to poorer survival outcomes, supporting its use in future cancer staging.
Area of Science:
- Oncology
- Surgical Pathology
- Cancer Prognostics
Background:
- The lymph node ratio (LNR) has emerged as a potential prognostic indicator in oral squamous cell carcinoma (OSCC).
- Existing center-based studies suggest LNR's independent prognostic value, but a standardized approach and optimal cut-off values are lacking.
Purpose of the Study:
- To conduct a meta-analysis evaluating the prognostic impact of LNR in oral squamous cell carcinoma (OSCC).
- To investigate and identify potential significant cut-off values for LNR in predicting patient outcomes.
Main Methods:
- A comprehensive electronic and manual literature search was performed across major databases (PubMed, Embase, Cochrane Library) up to January 2018.
- Included 19 studies (2009-2017) involving 14,254 patients with OSCC, analyzing outcomes like overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS).
- Data was stratified into two groups: Group A (pN+) and Group B (pN+ and pN-) for analysis.
Main Results:
- High LNR significantly correlated with shorter OS, DSS, and DFS in both analyzed groups (pN+ and pN+/pN-).
- A high LNR was also associated with shorter locoregional recurrence-free survival (LRF) specifically in Group B.
- All tested LNR cut-off values demonstrated statistical significance, with no evidence supporting a second significant threshold.
Conclusions:
- The lymph node ratio (LNR) is confirmed as an independent prognostic factor in oral squamous cell carcinoma (OSCC).
- LNR's established prognostic capability suggests its potential incorporation into future oncologic staging systems for improved patient risk stratification.
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