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lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...

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Prognostic value of pretreatment inflammatory biomarkers in patients with laryngeal cancer.

Toshiaki Kawano¹, Takashi Hirano¹, Kaori Tateyama¹

¹Department of Otolaryngology & Head and Neck Surgery, Faculty of Medicine Oita University, Oita, Japan.

Asian Journal of Surgery

|February 4, 2024

Summary

The lymphocyte-to-monocyte ratio (LMR) shows promise as a predictor for overall survival, disease-specific survival, and laryngeal preservation in laryngeal cancer patients. This inflammatory biomarker may aid in prognosis assessment.

Keywords:

Laryngeal cancer Lymphocyte-to-monocyte ratio Neutrophil-to-lymphocyte ratio Platelet-to-lymphocyte ratio

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Area of Science:

Oncology
Inflammation Research

Background:

Systemic inflammation significantly impacts malignant tumor progression and is a key factor in predicting survival and treatment efficacy.
Inflammatory biomarkers such as neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) are established predictors for survival and recurrence in various cancers.
These biomarkers hold potential as predictive markers for head and neck malignancies.

Purpose of the Study:

To investigate the prognostic value of inflammatory biomarkers (NLR, LMR, PLR) in laryngeal cancer.
To assess the association of these biomarkers with overall survival (OS), disease-specific survival (DSS), and laryngeal preservation rates.
To determine if these inflammatory markers can predict outcomes in patients with laryngeal cancer.

Main Methods:

A retrospective study of 125 patients with glottic and supraglottic laryngeal cancer treated between 2010 and 2016.
Calculation of NLR, LMR, and PLR for each patient.
Analysis of the association between biomarker levels and survival outcomes (OS, DSS), and laryngeal preservation, considering factors like tumor location, TNM stage, treatment, and smoking status.

Main Results:

Optimal cutoff values were determined as NLR 1.88, LMR 5.57, and PLR 108.
Multivariate analysis revealed that LMR (cutoff 5.57) was significantly associated with OS, DSS, and laryngeal preservation.
NLR (cutoff 1.88) and PLR (cutoff 108) showed significant associations only with OS and laryngeal preservation.

Conclusions:

The lymphocyte-to-monocyte ratio (LMR) may serve as a comprehensive predictor of survival outcomes in laryngeal cancer.
LMR is a potential prognostic biomarker for overall survival, disease-specific survival, and laryngeal preservation.
Inflammatory biomarkers, particularly LMR, offer valuable insights into the prognosis of laryngeal cancer patients.