Prognostic Value of the Lymphocyte-to-Monocyte Ratio in Patients with Parotid Gland Carcinoma

Pretreatment systemic immune-inflammation index and lymphocyte-to-monocyte ratio as prognostic factors in oral cavity cancer: A meta-analysis

BACKGROUND

The predictive implications of the pretreatment systemic immune-inflammation index (SII) and lymphocyte-to-monocyte ratio (LMR) in oral cavity cancer have been investigated extensively, however, the findings are conflicting.

METHODS

To assess the predictive importance of SII and LMR in patients with oral cavity cancer, a comprehensive Meta-analysis of the literature was conducted using the databases from PubMed, Embase, and the Cochrane Library. To determine the link between SII and LMR and overall survival (OS) and disease-free survival (DFS), hazard ratio (HR) and 95% confidence interval (CI) were retrieved.

RESULTS

The analysis comprised a total of 18 papers, covering 19 trials (SII = 5, LMR = 12, SII + prognostic nutritional index (PNI) = 2). According to pooled data, increased SII predicted poor OS (HR: 1.61, 95% CI: 1.38-1.87, P < .001) and DFS (HR: 1.90, 95% CI: 1.11-3.27, P = .02) while high LMR was linked with improved OS (HR: 0.64, 95% CI: 0.54-0.77, P < .001) and DFS (HR: 0.69, 95% CI: 0.61-0.79, P < .001). In addition, subgroup analysis indicated that high SII and low LMR negatively correlated with OS regardless of country, cutoff value, sample size, or types of Cox regression analysis.

CONCLUSIONS

High SII and low LMR may predict worse survival in patients with oral cavity cancer. SII and LMR may therefore represent effective indicators of prognosis in oral cavity cancer.

Prognostic value of preoperative inflammatory ratios in early glottic cancer treated with transoral laser surgery

BACKGROUND

There is growing evidence regarding the prognostic utility of ratios such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammatory index (SIII) in head and neck squamous cell carcinoma (HNSCC). However, most studies to date include heterogeneous series with different treatments or tumor subsites.

METHODS

We collected data from 201 patients with stage I-II glottic squamous cell carcinoma treated with transoral laser surgery. NLR, PLR, and SIII were calculated from preoperative cell blood count, cut-off points were obtained by ROC curve analysis, and survival rates were calculated.

RESULTS

High NLR (p = 0.012) and SIII (p = 0.037), but not PLR (p = 0.48), were associated with worse disease-specific survival (DSS). A similar trend was observed with overall survival (OS), although it did not reach statistical significance. On multivariable analyses, both high NLR (HR = 3.8, 95% CI = 1.5-9.9, p = 0.006) and high SIII (HR = 2.77, 95% CI = 1.1-6.9, p = 0.03) were significantly associated with shortened DSS.

CONCLUSIONS

Preoperative NLR and SIII emerge as independent prognostic biomarkers for early-stage surgically treated glottic tumors and could guide individualized follow-up.

A nomogram for distinguishing benign and malignant parotid gland tumors using clinical data and preoperative blood markers: development and validation

PURPOSE

This study aimed to construct and validate a nomogram that incorporated clinical data and preoperative blood markers to differentiate BPGTs from MPGTs more efficiently and at low cost.

METHODS

We retrospectively analyzed patients who underwent parotidectomy and histopathological diagnosis at the First Affiliated Hospital of Guangxi Medical University from January 2013 to June 2022. Subjects were randomly divided into training and validation sets with a 7:3 ratio. In the training set, the least absolute shrinkage and selection operator (LASSO) regression analysis was performed to select the most relevant features from 19 variables and built a nomogram using logistic regression. We evaluated the model's performance using receiver-operating characteristic (ROC) curves, calibration curves, clinical decision curve analysis (DCA), and clinical impact curve analysis (CICA).

RESULTS

The final sample consisted of 644 patients, of whom 108 (16.77%) had MPGTs. The nomogram included four features: current smoking status, pain/tenderness, peripheral facial paralysis, and lymphocyte-to-monocyte ratio (LMR). The optimal cut-off value for the nomogram was 0.17. The areas under the ROC curves (AUCs) of the nomogram were 0.748 (95% confidence interval [CI] = 0.689-0.807) and 0.754 (95% CI = 0.636-0.872) in the training and validation sets, respectively. The nomogram also showed good calibration, high accuracy, moderate sensitivity, and acceptable specificity in both sets. The DCA and CICA demonstrated that the nomogram had significant net benefits for a wide range of threshold probabilities (0.06-0.88 for the training set; 0.06-0.57 and 0.73-0.95 for the validation set).

CONCLUSION

The nomogram based on clinical characteristics and preoperative blood markers was a reliable tool for discriminating BPGTs from MPGTs preoperatively.

Prognostic scores in laryngeal cancer

PURPOSE

To evaluate the utility of various pre-treatment prognostic scoring systems for overall survival (OS) in laryngeal cancer, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), modified Glasgow Prognostic Score (mGPS) and systemic immune-inflammatory index (SIII).

METHODS

We undertook a retrospective 5-year study of 220 patients with laryngeal squamous cell carcinoma undergoing active treatment.

RESULTS

On multivariate analysis, low NLR (≤ 2.415, p = 0.001, OR 3.851), low PLR (≤ 269.855, p = 0.002, OR 5.520), high LMR (> 2.225, p < 0.001, OR 0.458) and low SIII (≤ 1144.465, p = 0.003, OR 3.673) were significantly associated with improved OS, accounting for confounding factors of tumour subsite, T-stage and performance status. C-reactive protein (CRP) alone (p = 0.264) and mGPS (p = 0.350) were not significantly associated with OS.

CONCLUSIONS

NLR, PLR, LMR and SIII represent inexpensive, easily obtainable adjuvant decision-making tools which could help tailor individualised treatment regimes. Further investigation into the utility of combination scores and the role of different laryngeal subsites may be of interest.

Pretherapeutic Predictive Factors for Histological High-Grade Parotid Gland Carcinoma

OBJECTIVE

The histological grade of parotid gland carcinoma (PGC) is an important prognostic factor; however, the diagnosis prior to treatment has been challenging to make. This study aimed to investigate whether the pretreatment clinical findings, including hematological inflammatory, nutritional, and immune markers, could predict the histological grade of PGC.

STUDY DESIGN

Retrospective study.

METHODS

We retrospectively enrolled 111 patients with PGC and evaluated the correlation between histological grade and pretreatment clinical findings such as age, sex, tumor staging, facial nerve paralysis, pain or tenderness, adhesion to the surrounding tissues or tumor immobility, and hematological markers.

RESULTS

Sixty patients (54%) were diagnosed with histological high-grade PGC. Univariate analysis revealed that age, T classification, N classification, TNM stage, facial nerve paralysis, adhesion/immobility, C-reactive protein (CRP), and CRP-to-albumin ratio (CAR) were significant predictors of PGC histological grade. On multivariate analysis, high T classification (T3, 4), high N classification (≥1), and elevated CRP (≥0.22 mg/dL) were independent predictors of high-grade PGC.

CONCLUSIONS

Pretreatment T classification, N classification, and CRP are significant predictors of the histological grading of PGC. Our results are useful for treatment planning and obtaining appropriate informed consent from the patients before treatment.

LEVEL OF EVIDENCE

4 Laryngoscope, 2021.