Are Comorbidities Associated With Overall Survival in Patients With Oral Squamous Cell Carcinoma?

Walking one hour per day and the derived neutrophil-to-lymphocyte ratio are associated with outcome in palliative second-line immunotherapy for patients with recurrent and/or metastatic squamous cell carcinoma of head and neck

OBJECTIVES

To determine whether routinary walking activity and the derived neutrophil-to-lymphocyte ratio are associated with outcomes in patients with recurrent and/or metastatic squamous cell carcinoma of head and neck.

METHODS

This multicenter retrospective cohort study included 64 patients diagnosed with recurrent and/or metastatic squamous cell carcinoma of head and neck and treated with immunotherapy (Programmed Death-1 and Programmed Death-ligand-1 proteins inhibitors) at two tertiary centers. We compared a group that performed uninterrupted physical activity for 1 h per day and controls who performed no activity. The derived neutrophil-to-lymphocyte ratio was calculated as follows: [neutrophils / (leukocytes - neutrophils)]. Progression-free survival and overall survival were evaluated.

RESULTS

We included 28 (44%) and 36 (56%) patients in the activity and non-activity groups, respectively. Patient characteristics, treatment details, and tumor Programmed Death-ligand-1 expression were not associated with either progression-free survival or overall survival. Physical activity was an independent beneficial factor for progression-free survival (p < 0.001) and overall survival (p < 0.001). By contrast, a derived neutrophil-to-lymphocyte ratio <3.5 was an independent beneficial factor for overall survival (p = 0.013), but not for progression-free survival (p = 0.328).

CONCLUSIONS

Walking one hour per day and having a high proportion of lymphocytes to neutrophiles (expressed as a low derived neutrophil-to-lymphocyte ratio) independently predict a better prognosis in patients with recurrent and/or metastatic squamous cell carcinoma of head and neck treated with immunotherapy.

LEVEL OF EVIDENCE

III.

Derived Neutrophils to Lymphocyte Ratio Predicts Survival Benefit from TPF Induction Chemotherapy in Local Advanced Oral Squamous Cellular Carcinoma

BACKGROUND

This study aimed to evaluate the derived neutrophil to lymphocyte ratio (dNLR) in predicting the prognosis of patients with locally advanced oral squamous cell carcinoma (LAOSCC) and to assess the survival benefits from docetaxel, cisplatin, and 5-fluorouracil (5-FU) (TPF) induction chemotherapy (IC).

METHODS

Patients from a phase III trial involving TPF IC in stage III/IVA OSCC patients (NCT01542931) were enrolled. Receiver operating characteristic curves were constructed, and the area under the curve was computed to determine dNLR cutoff points. Kaplan-Meier survival estimates and Cox proportional hazards models were used for longitudinal analysis.

RESULTS

A total of 224 patients were identified (median age: 55.4 years; range: 26 to 75 years; median follow-up: 90 months; range: 3.2 to 93 months). The cutoff point for the dNLR was 1.555. Multivariate analysis showed that the dNLR was an independent negative predictive factor for survival (overall survival (OS): hazard ratio (HR) = 1.154, 95% confidence interval (CI): 1.018-1.309, p = 0.025; disease-free survival (DFS): HR = 1.123, 95% CI: 1.000-1.260, p = 0.050; local recurrence-free survival (LRFS): HR = 1.134, 95% CI: 1.002-1.283, p = 0.047; distant metastasis-free survival (DMFS): HR = 1.146, 95% CI: 1.010-1.300, p = 0.035). A low dNLR combined with cTNM stage III disease predicted benefit from TPF IC for the patients [OS (χ2 = 4.674, p = 0.031), DFS (χ2 = 7.134, p = 0.008), LRFS (χ2 = 5.937, p = 0.015), and DMFS (χ2 = 4.832, p = 0.028)].

CONCLUSIONS

The dNLR is an independent negative predictive factor in LAOSCC patients. Patients with cTNM stage III disease and a low dNLR can benefit from TPF IC.

IL17RB expression is associated with malignant cancer behaviors and poor prognosis in oral cancer

OBJECTIVES

Previously, we demonstrated that IL17RB plays an essential role in lung cancer progression. This study aimed to determine whether IL17RB correlates with oral cancer and promotes oral cancer progression.

SUBJECTS AND METHODS

IL17RB expression in oral cancer tissues and normal tissues was determined by immunohistochemistry staining, while the association of IL17RB expression with the clinicopathological characteristics of oral squamous cell carcinoma (OSCC) patients was analyzed and its correlation with progression-free survival and response to radiotherapy and chemotherapy in OSCC patients was also explored. Western blotting was performed to investigate the expression of IL17RB in various OSCC cell lines; moreover, transwell assay was performed to evaluate the effect of IL17RB expression on cell migration ability.

RESULTS

In this study, we found that IL17RB was expressed higher in OSCC tissues compared to normal oral mucosa tissues and its expression was positively correlated with tumor size, lymph node metastasis, advanced cancer stage, and poor prognosis. In vitro study showed that IL17RB expression in OSCC cell lines as determined by Western blotting, was positively correlated with their migration ability.

CONCLUSION

Clinical and in vitro studies suggest that IL17RB might serve as an independent risk factor and a therapeutic target for oral cancer.

A study on the survival prediction for patients with oral cancer in southwest China

OBJECTIVE

The prognostic value of the variables were evaluated in 418 postoperative oral cancer patients with oral cancer in southwest China between January 2013 and December 2020. Nomogram was developed based on the study, and its predictive performance and clinical utility were evaluated.

RESULTS

The univariate analysis showed gender, preoperative fibrinogen, preoperative platelet-to-lymphocyte ratio (PLR), and preoperative neutrophil-to-lymphocyte ratio, flap repair of defect, functional neck dissection (FND), tumor differentiation, tumor, node, metastasis stage, lymph node metastasis, the maximum tumor diameter, and postoperative radiotherapy had a significant influence on the survival of patients with oral cancer in southwest China (p < 0.05).The multivariate analysis showed preoperative PLR value, FND, and tumor differentiation had significant influence on the prediction of survival (p < 0.05). However, smoking and drinking are not prognostic risk factors for oral cancer. The discriminant analysis showed 66.3% of the patients could be correctly predicted for postoperative survival, while both the C-index and decision curve analysis (DCA) showed this study may be taken as a reference for predicting the postoperative survival of patients with oral cancer.

CONCLUSION

Preoperative PLR, FND, and tumor differentiation are independent prognostic factors for patients with oral cancer in southwest China. The results of this study have been visualized using a nomogram and a DCA.

Foregoing elective neck dissection for elderly patients with oral cavity squamous cell carcinoma

OBJECTIVE

Elective neck dissection (END) improves outcomes among clinically node-negative patients with oral cavity squamous cell carcinoma (OCSCC). However, END is of questionable value, considering the potentially higher comorbidities and operative risks in elderly patients.

METHODS

A retrospective review of all patients older than 65 years of age who were treated for OCSCC at a tertiary care centre between 2005 and 2020 was conducted.

RESULTS

Fifty-three patients underwent primary tumour resection alone, and 71 had simultaneous END. Most primary tumours were located on the mobile tongue. The patients who did not undergo END had a higher mean age (81.2 vs. 75.1 years, P < 0.00001), significantly shorter surgeries, and shorter hospitalizations. Occult cervical metastases were found in 24% of the patients who underwent END. The two groups showed no significant differences in overall survival or recurrence rates. Similar results were shown in a subpopulation analysis of patients older than 75 years.

CONCLUSION

Foregoing END in elderly patients with no clinical evidence of neck metastases did not result in lower survival rates or higher recurrence rates.

Significance of chemotherapy for older patients with nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A propensity score matching analysis

INTRODUCTION

This study aimed to evaluate the survival and prognosis of older patients with nasopharyngeal carcinoma (NPC) who received intensity-modulated radiotherapy (IMRT) alone versus IMRT plus chemotherapy using propensity score matching (PSM).

MATERIALS AND METHODS

We enrolled 841 older patients with NPC aged 60 years and above without metastasis receiving IMRT alone or chemoradiotherapy from 2012 to 2019. The comorbidity was assessed by adult comorbidity evaluation (ACE-27). PSM (1:3 ratio) was conducted between the two treatment groups based on four clinical factors including age, T-stage, N-stage, and ACE-27. Differences in overall survival (OS) and cancer-specific survival (CSS) were analyzed by the Kaplan-Meier method and Cox proportional hazard model.

RESULTS

A total of 841 patients with NPC were included in the study, there were 94 patients in the IMRT alone group and 747 patients in the chemoradiotherapy (CRT) group. After a 1:3 ratio PSM, 89 patients underwent IMRT alone and 223 patients underwent CRT. The baseline analysis showed an insignificant difference after PSM (P > 0.05). In multivariate analysis, we found that ACE-27 (≥2) was associated with worse five-year OS and CSS (HR = 1.994, 95%CI: 1.276-3.116, P = 0.002; HR = 1.849, 95%CI: 1164-2.935, P = 0.009, respectively). Chemotherapy was an independent prognosticator of better five-year OS and CSS (HR = 0.333, 95%CI: 0.213-0.552, P < 0.001; HR = 0.327, 95%CI: 0.204-0.524, P < 0.001, respectively). In terms of subgroup analysis, chemotherapy was a statistically beneficial predictor for stage III-IV patients (P < 0.05), but no significant difference in stage II patients (P > 0.05). About the adverse events, the incidence of hepatotoxicity (P = 0.002), neutropenia (P < 0.001), anemia (P < 0.001), and thrombocytopenia (P < 0.001) were significantly higher in the CRT group.

DISCUSSION

Combined modality therapy was associated with improved five-year OS and CSS in older adults with stage III-IV NPC, but was not associated with improved survival over IMRT alone in patients with stage II disease. Risk factors including T3-4 disease, positive lymph nodes, ACE-27 score ≥ 2, and IMRT alone were were associated with worse OS and CSS. There was a significantly higher incidence of hepatotoxicity and blood toxicity in the CRT group.

Prognostic Abilities of Pre- and Post-Treatment Inflammatory Markers in Oral Squamous Cell Carcinoma: Stepwise Modelling

Background and Objectives: Studies examining the importance of inflammatory markers before treatment as prognosticators of OSCC are available, but information on post-therapy inflammatory markers and their prognostic significance is limited. This study aimed to evaluate the prognostic abilities of pre- and post-treatment inflammatory markers in patients with OSCC. Materials and Methods: In this retrospective analysis, information on 151 OSCC patients’ socio-demographic, clinico-pathological, recurrence, metastasis, and survival data were gathered from clinical records. A multivariable Cox proportional hazards regression (stepwise model) was conducted to identify the prognostic predictors of OS and DFS. The multivariable models’ performances were evaluated using Harrell’s concordance statistics. Results: For OS, high pre-treatment LMR (HR 3.06, 95%CI 1.56, 5.99), and high post-treatment PLC (HR 3.35, 95%CI 1.71, 6.54) and PLR (HR 5.26, 95%CI 2.62, 10.58) were indicative of a poor prognosis. For DFS, high pre-treatment SII (HR 2.59, 95%CI 1.50, 4.48) and high post-treatment PLC (HR 1.92, 95%CI 1.11, 3.32) and PLR (HR 3.44, 95%CI 1.98, 5.07) were associated with increased mortality. The fitness of the OS and DFS stepwise Cox regression models were proven with a time-dependent AUC of 0.8787 and 0.8502, respectively. Conclusions: High pre-treatment levels of LMR and SII and high post-treatment levels of PLC and PLR are independent predictors of a poor prognosis for patients with OSCC.

Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis

BACKGROUND

Applying machine learning to predicting oral cavity cancer prognosis is important in selecting candidates for aggressive treatment following diagnosis. However, models proposed so far have only considered cancer survival as discrete rather than dynamic outcomes.

OBJECTIVES

To compare the model performance of different machine learning-based algorithms that incorporate time-to-event data. These algorithms included DeepSurv, DeepHit, neural net-extended time-dependent cox model (Cox-Time), and random survival forest (RSF).

MATERIALS AND METHODS

Retrospective cohort of 313 oral cavity cancer patients were obtained from electronic health records. Models were trained on patient data following preprocessing. Predictors were based on demographic, clinicopathologic, and treatment information of the cases. Outcomes were the disease-specific and overall survival. Multivariable analyses were conducted to select significant prognostic features associated with tumor prognosis. Two models were generated per algorithm based on all-prognostic features and significant-prognostic features following statistical analysis. Concordance index (c-index) and integrated Brier scores were used as performance evaluators and model stability was assessed using intraclass correlation coefficients (ICC) calculated from these measures obtained from the cross-validation folds.

RESULTS

While all models were satisfactory, better discriminatory performance and calibration was observed for disease-specific than overall survival (mean c-index: 0.85 vs 0.74; mean integrated Brier score: 0.12 vs 0.17). DeepSurv performed best in terms of discrimination for both outcomes (c-indices: 0.76 -0.89) while RSF produced better calibrated survival estimates (integrated Brier score: 0.06 -0.09). Model stability of the algorithms varied with the outcomes as Cox-Time had the best intraclass correlation coefficient (mean ICC: 1.00) for disease-specific survival while DeepSurv was most stable for overall survival prediction (mean ICC: 0.99).

CONCLUSIONS

Machine learning algorithms based on time-to-event outcomes are successful in predicting oral cavity cancer prognosis with DeepSurv and RSF producing the best discriminative performance and calibration.

Prognostic value of preoperative lymphocyte-to-monocyte ratio in oral cancer patients and establishment of a dynamic nomogram

OBJECTIVE

To assess the association of preoperative lymphocyte-to-monocyte ratio (LMR) and overall survival (OS) in patients with oral cancer and develop a dynamic nomogram for individualized survival prediction.

METHOD

The prognostic value of LMR was evaluated in a large-scale cohort with 651 postoperative patients with oral cancer between January 2010 and December 2017. Propensity score-matched (PSM) analysis and inverse probability of treatment weighting (IPTW) analysis were performed to further verify the prognostic value of LMR. A dynamic nomogram was then developed based on the LMR and clinicopathological features, and its predictive performance and clinical utility were evaluated.

RESULTS

A high LMR was significantly associated with better OS of patients with oral cancer (HR = 0.65; 95% CI = 0.44-0.98). The similar association was also observed in the PSM and IPTW analyses. Moreover, compared with TNM staging system, the dynamic nomogram based on the LMR exhibited more excellent predictive performance (0.72 versus 0.64, p < .001), with calibration curves (1,000 bootstrap resamples) suggesting good match between the actual and predicted probabilities. Decision curve analyses (DCAs) showed a more significant positive net benefit in the practical ranges of threshold probabilities using the dynamic nomogram.

CONCLUSION

Preoperative LMR may serve as an easily accessible and non-invasive prognostic biomarker for predicting the prognosis of patients with oral cancer. A dynamic nomogram based on the LMR may show more convenience in survival prediction for patients with oral cancer. Further future studies are warranted to confirm our findings.

A retrospective study on the prognostic value of preoperative C-reactive protein to albumin ratio in patients with oral cavity squamous cell carcinoma

Background

Although the C-reactive protein-to-albumin ratio (CAR) can predict poor outcomes in assorted cancers, its prognostic value in oral cavity squamous cell carcinoma (OSCC) remains unclear. We explored the value of preoperative CAR in predicting clinical outcomes in OSCC patients treated with radical surgery.

Methods

All the recommended cutoff values were defined analyzing receiver operating characteristic curves or overall survival (OS). Dichotomization was performed on the basis of optimal CAR cutoff, and we compared the clinicopathological features between groups. Kaplan-Meier analysis was also performed to compare OS curves between the two groups. Univariate and multivariate analyses using the Cox proportional hazards model were conducted to find the clinical characteristics that were most closely correlated with disease free survival (DFS) and overall survival (OS). A nomogram incorporated CAR and several clinicopathological factors was established to predict prognosis and its accuracy was evaluated using concordance index (c-index).

Results

In this retrospective study, a total of 326 patients with newly diagnosis of OSCC and received primary surgery between 2008 and 2017 were enrolled. Through the executed ROC curve analyses, the optimal CAR cutoff derived was 0.195 (area under the curve = 0.718, p < 0.001), with this cutoff exhibiting a discrimination ability superior to that of other inflammation-based prognostic scores after comparing the area under curves. Multivariate analysis demonstrated that CAR (≥0.195/<0.195) was associated with OS (hazard ratio 3.614; 95% CI [1.629-8.018]; p = 0.002) and DFS (hazard ratio 1.917; 95% CI [1.051-3.863]; p = 0.029). Kaplan-Meier analysis and log rank test revealed a significant difference in DFS and OS curves between patients with low CAR (<0.195) and those with high CAR (≥0.195; both p < 0.001). The c-index of the nomogram based on TNM system alone was 0.684 and could be increased to 0.801 if CAR and other clinicopathological factors were included.

Conclusions

Preoperative CAR could constitute an independent prognostic indicator for OS and DFS prediction in OSCC patients treated with curative surgery. The established nomogram that incorporated CAR and prognostic factors might increase the accuracy of prognostic prediction for patients with OSCC.