Clinical significance of pretreatment prognostic nutritional index and lymphocyte-to-monocyte ratio in patients with advanced p16-negative oropharyngeal cancer-a retrospective study

The prognostic utility of preoperative geriatric nutritional risk index on survival outcomes of locally advanced oral cancer

PURPOSE

This retrospective cohort study was to assess the prognostic value of preoperative geriatric nutritional risk index (GNRI) on survival outcomes for patients with locally advanced oral squamous cell carcinoma (LAOSCC).

METHODS

Patients with LAOSCC receiving upfront radical surgery at a single institute from January 2007 to February 2017 were enrolled. The primary outcomes in the study were 5-year overall survival (OS) and cancer-specific survival (CSS) rates, and a nomogram based on GNRI and other clinical-pathological factors was established for individualized OS prediction.

RESULTS

There were 343 patients enrolled in this study. The optimal cut-off value of GNRI was observed to be 97.8. Patients in the high-GNRI group (GNRI ≥97.8) had statistically significantly better outcomes in 5-year OS (74.7% vs. 57.2%, p = 0.001) and CSS (82.2% vs. 68.9%, p = 0.005) when compared with the low-GNRI group (GNRI <97.8). In Cox models, low GNRI remained an independent negative prognosticator of OS (HR: 1.6; 95% CI: 1.124-2.277; p = 0.009) and CSS (HR: 1.907; 95% CI: 1.219-2.984; p = 0.005). The c-index of the proposed nomogram, incorporating assorted clinicopathological factors and GNRI, had a statistically significant increase compared with the predictive nomogram constructed by the TNM staging system alone (0.692 vs. 0.637, p < 0.001)."

CONCLUSION

Preoperative GNRI is an independent prognostic factor of OS and CSS in patients with LAOSCC. A multivariate nomogram that includes GNRI may better help us to accurately estimate individual survival outcomes.

Prognostic utility of neutrophil-to-albumin ratio in surgically treated oral squamous cell carcinoma

BACKGROUND

We aimed to evaluate the prognostic significance of preoperative neutrophil-to-albumin ratio (NAR) in oral squamous cell carcinoma (OSCC).

METHODS

A total of 622 patients with surgically treated OSCC were enrolled. NAR was defined as the absolute neutrophil count divided by the serum albumin level in peripheral blood before the radical surgery. Cox proportional hazards model were used to discover survival outcome-associated factors.

RESULTS

The optimal cut-off of NAR to predict overall survival (OS) was determined to be 0.1. In Cox model, high NAR was identified as an independent negative prognosticator of OS, cancer-specific survival, and recurrence-free survival (adjusted hazard ratio: 1.503, 1.958, and 1.727, respectively; all p < 0.05). The NAR-based nomogram accurately predicted OS (concordance index: 0.750).

CONCLUSION

Our study suggests that preoperative NAR is a convenient and effective prognostic marker for OSCC and NAR-based nomogram can be a promising prognostic tool in clinical setting.

Prognostic values of systemic inflammation and nutrition-based prognostic indices in oropharyngeal carcinoma

Objective

Pretreatment systemic inflammation and nutrition-based prognostic indices (SINBPI) have demonstrated significance. This study investigated the prognostic value of pretreatment SINBPI for patients with oropharyngeal cancer and identified unfavorable prognostic markers.

Methods

We retrospectively reviewed the data of 124 patients with oropharyngeal squamous cell carcinoma (OPSCC) who received definitive treatment between January 2010 and December 2018. The prognostic utility of the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), prognostic nutritional index, and high-sensitivity modified Glasgow prognostic score (HS-mGPS) was assessed for disease-free survival (DFS), disease-specific survival (DSS), and overall survival (OS) using univariate and multivariate analyses.

Results

Multivariate analyses revealed that human papillomavirus (HPV) status and HS-mGPS were significantly associated with DFS, DSS, and OS. Patients with a HS-mGPS of 2 had a significantly higher rate of treatment-related deaths than those with a HS-mGPS of 0 or 1. The combination of the HS-mGPS and PLR had more accurate predictive ability in DFS and OS compared with the HS-mGPS alone, and the combination of the HS-mGPS and LMR had more accurate predictive ability in DSS and OS.

Conclusion

Our results indicated that the HS-mGPS was a useful prognostic marker for patients with OPSCC, and combined markers consisting of the HS-mGPS and PLR or LMR may provide more accurate prognostic predictions.Level of Evidence: 3.

Blood- and Imaging-Derived Biomarkers for Oncological Outcome Modelling in Oropharyngeal Cancer: Exploring the Low-Hanging Fruit

Aims: To assess whether CT-based radiomics and blood-derived biomarkers could improve the prediction of overall survival (OS) and locoregional progression-free survival (LRPFS) in patients with oropharyngeal cancer (OPC) treated with curative-intent RT. Methods: Consecutive OPC patients with primary tumors treated between 2005 and 2021 were included. Analyzed clinical variables included gender, age, smoking history, staging, subsite, HPV status, and blood parameters (baseline hemoglobin levels, neutrophils, monocytes, and platelets, and derived measurements). Radiomic features were extracted from the gross tumor volumes (GTVs) of the primary tumor using pyradiomics. Outcomes of interest were LRPFS and OS. Following feature selection, a radiomic score (RS) was calculated for each patient. Significant variables, along with age and gender, were included in multivariable analysis, and models were retained if statistically significant. The models’ performance was compared by the C-index. Results: One hundred and five patients, predominately male (71%), were included in the analysis. The median age was 59 (IQR: 52–66) years, and stage IVA was the most represented (70%). HPV status was positive in 63 patients, negative in 7, and missing in 35 patients. The median OS follow-up was 6.3 (IQR: 5.5–7.9) years. A statistically significant association between low Hb levels and poorer LRPFS in the HPV-positive subgroup (p = 0.038) was identified. The calculation of the RS successfully stratified patients according to both OS (log-rank p < 0.0001) and LRPFS (log-rank p = 0.0002). The C-index of the clinical and radiomic model resulted in 0.82 [CI: 0.80–0.84] for OS and 0.77 [CI: 0.75–0.79] for LRPFS. Conclusions: Our results show that radiomics could provide clinically significant informative content in this scenario. The best performances were obtained by combining clinical and quantitative imaging variables, thus suggesting the potential of integrative modeling for outcome predictions in this setting of patients.

The Prognostic Value of Preoperative Albumin-to-Alkaline Phosphatase Ratio on Survival Outcome for Patients With Locally Advanced Oral Squamous Cell Carcinoma

Background: This retrospective cohort study was to assess the prognostic value of preoperative albumin-to-alkaline phosphatase ratio (AAPR) on survival outcome for patients with locally advanced oral squamous cell carcinoma (LAOSCC). Methods: A total of 250 patients with LAOSCC receiving upfront radical surgery at a single institute from January 2008 to December 2017 were enrolled. The primary endpoint was the survival predictability of preoperative AAPR on the 5-year overall survival (OS), cancer-specific survival (CSS), and disease-free survival (DFS). Cox proportional hazards model was used for survival analysis. The X-tile software was used to estimate the optimal cut-off value of preoperative AAPR on survival prediction. A predictive nomogram incorporating the clinicopathological factors on OS was further generated. Results: The 5-year OS, CSS, and DFS rates were 68.6%, 79.7%, and 61.7%, respectively. The optimal cut-off of preoperative AAPR to predict the 5-year OS was observed to be 0.51. For those with preoperative AAPR≧0.51, the 5-year OS, CSS, and DFS were statistically significantly superior to those with preoperative AAPR<0.51 (OS: 76.1% vs 48.5%, P < .001; CSS: 84.3% vs 66.4%, P = .005; DFS: 68.9% vs 42.6%, P < .001). In Cox model, we observed that preoperative AAPR<0.51 was a significantly negative prognosticator of OS (HR: 2.22, 95% CI: 1.466-3.361, P < .001), CSS (HR: 2.037, 95% CI: 1.16-3.578, P  = .013), and DFS (HR: 1.756, 95% CI: 1.075-2.868, P  = .025). After adding the variable of preoperative AAPR, the c-index of the predictive nomogram incorporating assorted clinicopathological factors increases from 0.663 to 0.692 for OS. Conclusion: Our results suggest that preoperative AAPR serves as an independent survival predictor for patients with LAOSCC. The nomogram incorporating preoperative AAPR and various clinicopathological features may be a convenient tool to estimate the mortality risk for patients with LAOSCC.

Nutritional Status as a Predictive Biomarker for Immunotherapy Outcomes in Advanced Head and Neck Cancer

The association between pretreatment nutritional status and immunotherapy response in patients with advanced head and neck cancer is unclear. We retrospectively analyzed a cohort of 99 patients who underwent treatment with anti-PD-1 or anti-CTLA-4 antibodies (or both) for stage IV HNSCC between 2014 and 2020 at the Johns Hopkins Hospital. Patient demographics and clinical characteristics were retrieved from electronic medical records. Baseline prognostic nutritional index (PNI) scores and pretreatment body mass index (BMI) trends were calculated. Associations between PNI and BMI were correlated with overall survival (OS), progression-free survival (PFS), and immunotherapy response. In univariate analysis, there was a significant correlation between OS and PFS with baseline PNI (OS: HR: 0.464; 95% CI: 0.265-0.814; PFS: p = 0.007 and HR: 0.525; 95% CI: 0.341-0.808; p = 0.003). Poor OS was also associated with a greater decrease in pretreatment BMI trend (HR: 0.42; 95% CI: 0.229-0.77; p = 0.005). In multivariate analysis, baseline PNI but not BMI trend was significantly associated with OS and PFS (OS: log (HR) = -0.79, CI: -1.6, -0.03, p = 0.041; PFS: log (HR) = -0.78, CI: -1.4, -0.18, p = 0.011). In conclusion, poor pretreatment nutritional status is associated with negative post-immunotherapy outcomes.