Continued Chemotherapy After Concurrent Chemoradiotherapy Improves Treatment Outcomes for Unresectable Cutaneous Squamous Cell Carcinoma: An Analysis of 13 Cases

Abstract Background: We conducted this study to combine the mean standardized uptake value (SUVmean) and neutrophil to lymphocyte ratio (NLR) to establish a strong predictive model for patients with esophageal squamous cell carcinoma (ESCC) after concurrent chemoradiotherapy (CCRT). Methods: We retrospectively analyzed 163 newly diagnosed ESCC patients treated with CCRT. Eighty patients (training set) were randomly selected to generate cut-off SUVmean and NLR values by receiver operating characteristic (ROC) curve analysis and to establish a predictive model by using the independent predictors of treatment outcomes. Then, we evaluated the performance of the prediction model regarding treatment outcomes in the testing set (n=83) and in all sets. Results: A high SUVmean (>5.81) and high NLR (> 2.42) at diagnosis were associated with unfavorable treatment outcomes in patients with ESCC. The prediction model had a better performance than the simple parameters (p<0.05). With a cut-off value of 0.77, the prediction model significantly improved the specificity and positive predictive value for treatment response (88.9% and 92.1% in the training set, 95.8% and 97.1% in the testing set, and 92.2% and 91.8% in all sets, respectively). Conclusions: The pretreatment SUVmean and NLR were independent predictors of treatment response in ESCC patients treated with CCRT. The predictive model was constructed based on these two parameters and provides a highly accurate tool for predicting patient outcomes.

Download Full-text

Surgically Treated Advanced Cutaneous Squamous Cell Carcinoma of the Head and Neck: Outcome Predictors and the Role of Adjuvant Radiation Therapy

Annals of Otology Rhinology & Laryngology ◽

10.1177/0003489421990182 ◽

2021 ◽

pp. 000348942199018

Author(s):

Liyona Kampel ◽

Alexandra Dorman ◽

Gilad Horowitz ◽

Dan M. Fliss ◽

Orit Gutfeld ◽

...

Keyword(s):

Squamous Cell Carcinoma ◽

Radiation Therapy ◽

Cell Carcinoma ◽

Head And Neck ◽

Treatment Outcomes ◽

Squamous Cell ◽

Disease Free Survival ◽

Cutaneous Squamous Cell Carcinoma ◽

Adjuvant Radiation ◽

Adjuvant Radiation Therapy

Objectives: Advanced cutaneous squamous cell carcinoma of the head and neck (CSCCHN) is associated with poor outcome despite multimodality therapy. Comprehensive risk stratification may pinpoint the most suitable adjuvant treatment. This study aimed to evaluate the outcomes of surgically treated locoregional CSCCHN and to identify prognostic indicators of treatment outcomes. Methods: We retrospectively analyzed disease variables, pathologic characteristics, and management in association with treatment outcomes of all consecutive advanced CSCCHN patients who underwent surgical resection at Tel Aviv Sourasky Medical Center. Results: From 2008 to 2018, 74 patients met the inclusion criteria. Only perineural invasion (PNI) was significantly associated with worse overall survival (OS) ( P = .001). Location within the facial “mask areas” was significantly associated with pathologically negative cervical disease ( P = .001). Forty-seven patients underwent adjuvant radiation therapy (RT) which significantly improved OS and disease-free survival versus surgery alone ( P = .025 and P = 0.035, respectively). Conclusion: PNI was associated with worse OS in surgically treated advanced CSCCHN. Adjuvant RT conferred better outcomes despite high risk features.

Download Full-text

A predictive model for treatment response in patients with locally advanced esophageal squamous cell carcinoma after concurrent chemoradiotherapy: based on SUVmean and NLR

10.21203/rs.2.17502/v1 ◽

2019 ◽

Author(s):

Chunsheng Wang ◽

Kewei Zhao ◽

Shanliang Hu ◽

Yong Huang ◽

Li Ma ◽

...

Keyword(s):

Squamous Cell Carcinoma ◽

Esophageal Squamous Cell Carcinoma ◽

Prediction Model ◽

Cell Carcinoma ◽

Treatment Outcomes ◽

Predictive Model ◽

Treatment Response ◽

Squamous Cell ◽

Concurrent Chemoradiotherapy ◽

Training Set

Abstract Background: We conducted this study to combine the mean standardized uptake value (SUVmean) and neutrophil to lymphocyte ratio (NLR) to establish a strong predictive model for patients with esophageal squamous cell carcinoma (ESCC) after concurrent chemoradiotherapy (CCRT). Methods: We retrospectively analyzed 163 newly diagnosed ESCC patients treated with CCRT. Eighty patients (training set) were randomly selected to generate cut-off SUVmean and NLR values by receiver operating characteristic (ROC) curve analysis and to establish a predictive model by using the independent predictors of treatment outcomes. Then, we evaluated the performance of the prediction model regarding treatment outcomes in the testing set (n=83) and in all sets. Results: A high SUVmean (>5.81) and high NLR (> 2.42) at diagnosis were associated with unfavorable treatment outcomes in patients with ESCC. The prediction model had a better performance than the simple parameters (p<0.05). With a cut-off value of 0.77, the prediction model significantly improved the specificity and positive predictive value for treatment response (88.9% and 92.1% in the training set, 95.8% and 97.1% in the testing set, and 92.2% and 91.8% in all sets, respectively). Conclusions: The pretreatment SUVmean and NLR were independent predictors of treatment response in ESCC patients treated with CCRT. The predictive model was constructed based on these two parameters and provides a highly accurate tool for predicting patient outcomes.

Download Full-text