Peripheral Inflammation Markers of Chemosensitivity to Induction Chemotherapy in Hypopharyngeal Cancer Patients

Peripheral lymphocyte count as an indicator of radiotherapy effectiveness in hypopharyngeal squamous cell carcinoma

OBJECTIVES

To explore the predictive significance of baseline absolute peripheral lymphocyte counts (ALC) in the effectiveness of radiation in hypopharyngeal squamous cell carcinoma (HPSCC) patients.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective study of pathologically confirmed HPSCC patients who had definitive radiation between January 2020 and January 2022 at Fudan University Eye and ENT Hospital. The routine blood results of patients were obtained to determine if the baseline ALC was connected with the response to radiation. The receiver operator characteristic (ROC) curve and LASSO-based Cox regression were employed to assess the predictive value of ALC for the efficacy of radiotherapy (RT).

MAIN OUTCOME MEASURES AND RESULTS

RT induced a considerable drop in ALC and the level of ALC did not revert to the baseline values 1 year after radiation. The baseline level of ALC was higher in patients who met complete response after RT. The baseline ALC and monocyte counts demonstrated the predictive value of radiation effectiveness and ALC was an independent predictor.

CONCLUSION

In HPSCC, lymphocytes were sensitive to radiation and reduced significantly during RT. The baseline ALC might be regarded as a predictive indicator of the effectiveness of RT.

Predictors of Myelosuppression for Patients with Head and Neck Squamous Cell Carcinoma After Induction Chemotherapy

Background

Induction chemotherapy (ICT) has become an initial treatment for head and neck squamous cell carcinoma (HNSCC). However, myelosuppression, an unavoidable side effect of ICT, significantly impacts follow-up treatment and prognosis. The main objective of this study is to identify the risk factors and predictors of myelosuppression and its different severity after ICT for ICT.

Methods

We retrospectively reviewed medical records of 102 patients with hypopharyngeal cancer or oropharyngeal cancer who received initial ICT from 2013 to 2022. Univariate and multivariate logistic regression analyses were performed to identify risk factors for myelosuppression. Receiver-operating characteristic (ROC) curves were generated using the results of multiple logistic regression analysis to identify data with the highest sensitivity and lowest false-negative rate.

Results

Pretreatment lymphocyte count (PLC) and the pretreatment platelet count (PPC) were identified as independent risk factors of myelosuppression (P < .05). Pretreatment hemoglobin count (PHC) was an independent risk factor for predicting myelosuppression in patients with grades III to IV disease. Patients with myelosuppression after ICT are more sensitive to chemotherapy.

Conclusions

The PLC and PPC predicted myelosuppression in patients with HNSCC-administered ICT, and the PHC predicted grades III to IV myelosuppression. Myelosuppressed patients were more chemosensitive after ICT.

Prognostic Value of Controlling Nutritional Status Score in Advanced Hypopharyngeal Cancer

OBJECTIVE

The purpose of this study was to investigate the prognostic significance of the preoperative controlling nutritional status (CONUT) score in patients with resectable advanced hypopharyngeal cancer.

METHODS

This retrospective study included 113 advanced hypopharyngeal cancer patients who underwent curative resection in our hospital from 2013 to 2017. The association between the CONUT score and clinicopathological variables was evaluated. The association between CONUT score and survival was analyzed using Kaplan-Meier survival curves and Cox regression. The efficacy of the CONUT score and other immune-nutritional markers to predict prognosis was compared using a time-dependent receiver operating characteristic (ROC).

RESULTS

Patients were divided into the high-CONUT score group (≥3) and the low-CONUT score group (≤2) according to ROC analysis. The CONUT score was associated with body mass index (p = 0.047), monocyte (p = 0.021), pharyngocutaneous fistula (p = 0.045), flap repairment (p = 0.034), tumor (T) classification (p = 0.034), node (N) classification (p = 0.036), subsite of tumor (p = 0.035), and negative pathologic factors (p < 0.001). Tumor, node, metastasis (TNM) stage, negative pathologic factors, adjuvant radiotherapy, postoperative chemoradiotherapy, and CONUT score were independent prognostic factors for survival. Patients with a higher CONUT score had worse overall survival (OS) (hazard ratio: 2.76, 95% confidence interval [CI]: 1.44-5.29, p = 0.002) and disease-free survival (hazard ratio: 2.51, 95% CI: 1.28-4.91, p = 0.007). The area under the curve of the CONUT score (0.799) to predict 5-year OS was greater than those of Preoperative Nutritional Index (0.769), platelet-to-lymphocyte ratio (0.643), neutrophil-to-lymphocyte ratio (0.565), and lymphocyte-to-monocyte ratio (0.577).

CONCLUSION

The CONUT score is a prognostic marker for patients with resectable advanced hypopharyngeal cancer.

LEVEL OF EVIDENCE

3 Laryngoscope, 133:2613-2620, 2023.

A Nomogram to Predict Nodal Response after Induction Chemotherapy for Hypopharyngeal Carcinoma

BACKGROUND

For hypopharyngeal carcinoma, metastatic neck nodes with a low response to induction chemotherapy (ICT) should not be managed with concomitant chemoradiotherapy (CCRT), and the prediction of chemosensitivity before ICT could prevent adverse events from occurring during chemotherapy. In this study, we developed a nomogram to predict the regional response to ICT.

METHODS

A total of 153 hypopharyngeal carcinoma patients with regional metastasis treated with ICT in our institution from January 2010 to September 2020 were retrospectively studied. According to ICT response evaluated by RECIST 1.1, patients were divided into chemo-insensitive (PR < 70%/SD/PD) (group 1) and chemosensitive (CR/PR ≥ 70%) (group 2) groups. Patients' clinical, image, and hematologic data before ICT were collected. The nomogram was built based on multivariate analysis and stepwise logistic regression and was evaluated from the aspects of discrimination and calibration.

RESULTS

A nomogram based on five critical predictors, namely, tumor differentiation degree, T classification, metastatic lymph node size, number of lymph node metastases, and cervical nodal necrosis, was developed. The areas under the curve (AUC) values were 0.76 and 0.70 after adjusting the results using bootstrap methods. The calibration curve showed relatively good agreement between the predicted and observed probabilities.

CONCLUSIONS

Our nomogram yielded good accuracy in predicting the regional ICT response and will be a useful tool to assist clinicians in decision making.

LEVEL OF EVIDENCE

4 Laryngoscope, 133:849-855, 2023.

CT-based radiomics signature analysis for evaluation of response to induction chemotherapy and progression-free survival in locally advanced hypopharyngeal carcinoma

OBJECTIVES

To establish and validate a CT radiomics model for prediction of induction chemotherapy (IC) response and progression-free survival (PFS) among patients with locally advanced hypopharyngeal carcinoma (LAHC).

METHODS

One hundred twelve patients with LAHC (78 in training cohort and 34 in validation cohort) who underwent contrast-enhanced CT (CECT) scans prior to IC were enrolled. Least absolute shrinkage and selection operator (LASSO) was used to select the crucial radiomic features in the training cohort. Radiomics signature and clinical data were used to build a radiomics nomogram to predict individual response to IC. Kaplan-Meier analysis and log-rank test were used to evaluate ability of radiomics signature in progression-free survival risk stratification.

RESULTS

The radiomics signature consisted of 6 selected features from the arterial and venous phases of CECT images and demonstrated good performance in predicting the IC response in both two cohorts. The radiomics nomogram showed good discriminative performance, and the C-index of nomogram was 0.899 (95% confidence interval (CI), 0.831-0.967) and 0.775 (95% CI, 0.591-0.959) in the training and validation cohorts, respectively. Survival analysis indicated that low-risk and high-risk groups defined by the value of radiomics signature had significant difference in PFS (3-year PFS 66.4% vs 29.7%, p < 0.001).

CONCLUSIONS

Multiparametric CT-based radiomics model could be useful for predicting treatment response and PFS in patients with LAHC who underwent IC.

KEY POINTS

• CT radiomics can predict IC response and progression-free survival in hypopharyngeal carcinoma. • We combined significant radiomics signature with clinical predictors to establish a nomogram to predict individual response to IC. • Radiomics signature could divide patients into the high-risk and low-risk groups based on the PFS.

Predictive Biomarkers for Response and Toxicity of Induction Chemotherapy in Head and Neck Cancers

This review focuses on the molecular biology of head and neck squamous cell carcinomas and presents current and emerging biomarkers of the response of patients to induction chemotherapy. The usefulness of genes, proteins, and parameters from diagnostic clinical imaging as well as other clinicopathological parameters is thoroughly discussed. The role of induction chemotherapy before radiotherapy or before chemo-radiotherapy is still debated, as the data on its efficacy are somehow confusing. Despite the constant improvement of treatment protocols and the introduction of new cytostatics, there is still no consensus regarding the use of induction chemotherapy in the treatment of head and neck cancer, with the possible exception of larynx preservation. Such difficulties indicate that potential future treatment strategies should be personalized. Personalized medicine, in which individual tumor genetics drive the selection of targeted therapies and treatment plans for each patient, has recently emerged as the next generation of cancer therapy. Early prediction of treatment outcome or its toxicity may be highly beneficial for those who are at risk of the development of severe toxicities or treatment failure—a different treatment strategy may be applied to these patients, sparing them unnecessary pain. The literature search was carried out in the PubMed and ScienceDirect databases as well as in the selected conference proceedings repositories. Of the 265 articles and abstracts found, only 30 met the following inclusion criteria: human studies, analyzing prediction of induction chemotherapy outcome or toxicity based on the pretreatment (or after the first cycle, if more cycles of induction were administered) data, published after the year 2015. The studies regarding metastatic and recurrent cancers as well as the prognosis of overall survival or the outcome of consecutive treatment were not taken into consideration. As revealed from the systematic inspection of the papers, there are over 100 independent parameters analyzed for their suitability as prognostic markers in HNSCC patients undergoing induction chemotherapy. Some of them are promising, but usually they lack important features such as high specificity and sensitivity, low cost, high positive predictive value, clinical relevance, short turnaround time, etc. Subsequent studies are necessary to confirm the usability of the biomarkers for personal medicine.

Delta-volume radiomics of induction chemotherapy to predict outcome of subsequent chemoradiotherapy for locally advanced hypopharyngeal cancer

INTRODUCTION

Induction chemotherapy (IC) followed by concurrent chemoradiotherapy (CCRT) is recommended for larynx-preserving treatment of locally advanced hypopharyngeal cancer (LAHC). However, the conventional evaluation of response is not robust enough to predict the outcome of subsequent treatments. This study aimed to develop an imaging biomarker using changes in radiomic features in invasive tumor front (ITF) by IC to predict treatment outcome of subsequent CCRT in LAHC.

METHODS

From 2006 to 2018, 59 computed tomography (CT) scan images before and after IC in patients with LAHC were used to contour the gross tumor volumes (GTVs). A total of 48 delta-volume radiomics features were acquired from the absolute spatial difference of GTVs (delta-GTV) before and after IC, conceptually representing a consistent portion of ITF. Least absolute shrinkage and selection operator regression (LASSO) was used to select features for establishing the model generating radiomic score (R score).

RESULTS

A model including 5 radiomic features from delta-GTV to predict better progression-free survival (PFS) of patients receiving subsequent CCRT was established. The R score was validated with all datasets (area under the curve 0.77). Low R score (<-0.16) was associated with improved PFS (p < 0.05).

CONCLUSIONS

The established radiomic model for ITF from radiomic features of delta-GTV after IC might be a potential imaging biomarker for predicting clinical outcome of subsequent CCRT in LAHC.

Presurgical platelet-lymphocyte ratio for prognosis in advanced hypopharyngeal squamous cell carcinoma in individuals undergoing radical resection

BACKGROUND

Patient prognosis in hypopharyngeal carcinoma remains difficult to predict, necessitating new, readily available biomarkers.

OBJECTIVE

Platelet-lymphocyte ratio (PLR)'s effects on recurrence-free survival (RFS) and overall survival (OS) were evaluated in individuals undergoing radical resection for advanced hypopharyngeal squamous cell carcinoma (HSCC).

METHODS

A total of 89 patients were retrospectively assessed. PLR, and derived neutrophil-lymphocyte (dNLR) and neutrophil-lymphocyte (NLR) ratios were determined based on complete blood count. Then, the prognostic values of PLR, dNLR and NLR were assessed by univariate and multivariate Cox regression analyses adjusted for disease-specific prognostic factors. Endpoints of interest were RFS and OS.

RESULTS

The optimal cutoff of PLR was 98.815, based on which individuals were categorized into the high- (PLR ≥98.815) and low- (PLR <98.815) PLR groups. High PLR (p = .022) had a significant association with reduced RFS, which still showed significance in multivariable analysis (HR = 2.020, 95%CI: 1.076-3.794, p = .029). In univariate analysis, PLR (p = .046) and positive surgical margin (p = .021) also had significant associations with OS.

CONCLUSION

Elevated PLR has associations with increased risk of recurrence and reduced survival in advanced HSCC cases undergoing radical resection. High presurgical PLR may independently predict RFS. Therefore, further multi-institutional prospective studies are needed to better characterize the role of pre-operative blood PLR as prognostic factors in HSCC.

Immune Cell Infiltrates and Neutrophil-to-Lymphocyte Ratio in Relation to Response to Chemotherapy and Prognosis in Laryngeal and Hypopharyngeal Squamous Cell Carcinomas

Simple Summary

The role of the immune response to cancer is of increasing importance, with a determining role in the response to the treatments and prognosis of patients. In this work, we studied whether the immune response (local and systemic) can influence the treatment response and prognosis of patients with laryngeal and hypopharyngeal carcinoma receiving induction chemotherapy (ICT). We observed that the relationship between neutrophils and lymphocytes (NLR) in peripheral blood and PD-L1 expression in the tumor is related to ICT response and patient prognosis. The identification of new biomarkers related to the immune response may allow a better selection of treatments and the identification of potential therapeutic targets.

Abstract

Our goal was to assess the correlation of immune parameters with the response to induction chemotherapy (ICT) in head and neck squamous cell carcinoma (HNSCC) patients. Pretreatment biopsies from 64 patients with HNSCC that received ICT were assessed for PD-L1 protein expression and density of CD8+ and FOXP3+ tumor infiltrating lymphocytes (TIL). In addition, the neutrophil-to-lymphocyte ratio (NLR) was calculated from pretreatment whole blood counts. In total, 55% of cases exhibited PD-L1 combined proportion score (CPS) positivity (≥1% stained cells). PD-L1 CPS positivity correlated with a high density of both CD8+ (p = 0.01) and FOXP3+ (p < 0.001) TILs. There was no correlation between PD-L1 expression or TIL density and NLR values. In univariate analyses, the absence of PD-L1 CPS expression (p = 0.042) and a high NLR (p = 0.034) were significantly correlated with response to ICT. Neither CD8+ TIL (p = 0.99) nor FOXP3+ TIL densities (p = 0.71) were associated with response to ICT. In multivariate analysis, only a high NLR was associated with response to ICT (HR = 4.06, 95% CI = 1.06–15.5, p = 0.04). In addition, a high NLR was also independently associated with lower disease-specific (p = 0.03) and overall survival rates (p = 0.04), particularly in the subset of patients who received definitive surgical treatment. These results suggest that NLR could emerge as a predictive biomarker of response to ICT.

High pretreatment platelet-to-lymphocyte ratio is related to poor prognosis in the squamous cell carcinoma of the larynx and hypopharynx in male patients

BACKGROUND

There were heterogeneous or even conflicting data regarding the ability of platelet-to-lymphocyte ratio (PLR) for predicting the prognosis of laryngeal/hypopharyngeal squamous cell carcinoma (LHSCC). The discrepancies were found to be largely due to the cutoff value of PLR.

AIMS

The aims of this study were to rationally select an optimal PLR cutoff value and to analyze the relationship between pretreatment PLR and the prognosis.

METHODS

A total of 180 male patients were eligible for this retrospective study. We included another 180 healthy male individuals as controls. The relationship between PLR and age in patients and the controls was determined. The optimal cutoff values of PLR were identified. PLR value was then dichotomized into two categories, and the relationship between PLR and the clinicopathologic parameters were calculated. Kaplan-Meier curves were used to evaluate the overall survival (OS), and the association between PLR and the OS was analyzed.

RESULTS

The linear regression analysis showed a positive correlation between age and PLR in the control group, but not the patients. The optimal cutoff value of PLR was 112.5. The high PLR value group of patients exhibited significantly decreased OS. PLR was related to prognosis, as revealed by the univariate Cox regression.

CONCLUSION

Patients with LHSCC have abnormal high PLR, and a high pretreatment PLR portends adverse survival.

A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma

Background

Induction chemotherapy (IC) significantly improves the rate of larynx preservation; however, some patients could not benefit from it. Hence, it is of clinical importance to predict the response to IC to determine the necessity of IC. We aimed to develop a clinical nomogram for predicting the treatment response to IC in locally advanced hypopharyngeal carcinoma.

Methods

We retrospectively include a total of 127 patients with locally advanced hypopharyngeal carcinoma who underwent MRI scans prior to IC between January 2014 and December 2017. The clinical characteristics were collected, which included age, sex, tumor location, invading sites, histological grades, T-stage, N-stage, overall stage, size of the largest lymph node, neutrophil-to-lymphocyte ratio, hemoglobin concentration, and platelet count. Univariate and multivariate logistic regression was used to select the significant predictors of IC response. A nomogram was built based on the results of stepwise logistic regression analysis. The predictive performance and clinical usefulness of the nomogram were determined based on the area under the curve (AUC), calibration curve, and decision curve.

Results

Age, T-stage, hemoglobin, and platelet were four independent predictors of IC treatment response, which were incorporated into the nomogram. The AUC of the nomogram was 0.860 (95% confidence interval [CI]: 0.780-0.940), which was validated using 3-fold cross-validation (AUC, 0.864; 95% CI: 0.755-0.973). The calibration curve demonstrated good consistency between the prediction by the nomogram and actual observation. Decision curve analysis shows that the nomogram was clinically useful.

Conclusion

The proposed nomogram resulted in an accurate prediction of the efficacy of IC for patients with locally advanced hypopharyngeal carcinoma.