A Scoring System Based on Nutritional and Inflammatory Parameters to Predict the Efficacy of First-Line Chemotherapy and Survival Outcomes for De Novo Metastatic Nasopharyngeal Carcinoma

Wang-Zhong Li,1,2,* Xin Hua,3,* Shu-Hui Lv,1,2,* Hu Liang,1,2 Guo-Ying Liu,1,2 Nian Lu,1,2 Wei-Xin Bei,1,2 Wei-Xiong Xia,1,2 Yan-Qun Xiang1,2 1State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Di...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Li WZ, Hua X, Lv SH, Liang H, Liu GY, Lu N, Bei WX, Xia WX, Xiang YQ
Formato: article
Lenguaje:EN
Publicado: Dove Medical Press 2021
Materias:
Acceso en línea:https://doaj.org/article/3d2e8351fd164258a5885dbc63e21e30
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:3d2e8351fd164258a5885dbc63e21e30
record_format dspace
spelling oai:doaj.org-article:3d2e8351fd164258a5885dbc63e21e302021-12-02T13:32:02ZA Scoring System Based on Nutritional and Inflammatory Parameters to Predict the Efficacy of First-Line Chemotherapy and Survival Outcomes for De Novo Metastatic Nasopharyngeal Carcinoma1178-7031https://doaj.org/article/3d2e8351fd164258a5885dbc63e21e302021-03-01T00:00:00Zhttps://www.dovepress.com/a-scoring-system-based-on-nutritional-and-inflammatory-parameters-to-p-peer-reviewed-article-JIRhttps://doaj.org/toc/1178-7031Wang-Zhong Li,1,2,* Xin Hua,3,* Shu-Hui Lv,1,2,* Hu Liang,1,2 Guo-Ying Liu,1,2 Nian Lu,1,2 Wei-Xin Bei,1,2 Wei-Xiong Xia,1,2 Yan-Qun Xiang1,2 1State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 2Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 3Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yan-Qun Xiang; Wei-Xiong XiaDepartment of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of ChinaTel +86-1866-6096-623Email xiangyq@sysucc.org.cn; xiawx@sysucc.org.cnPurpose: We aimed to develop a simple scoring system based on baseline inflammatory and nutritional parameters to predict the efficacy of first-line chemotherapy and survival outcomes for de novo metastatic nasopharyngeal carcinoma (mNPC).Patients and Methods: We retrospectively collected ten candidate inflammatory and nutritional parameters from de novo mNPC patients who received platinum-based first-line chemotherapy treatment. We examined the effects of these ten candidate variables on progression-free survival (PFS) using the Cox regression model. We built a risk-scoring system based on the regression coefficients associated with the identified independent prognostic factors. The predictive accuracy of the scoring system was evaluated and independently validated.Results: A total of 460 patients were analyzed. Four independent prognostic factors were identified in a training cohort and were used to construct the scoring system, including nutritional risk index, C-reactive protein level, alkaline phosphatase level, and lactate dehydrogenase level. Based on the score obtained from the scoring system, we stratified patients into three prognostic subgroups (low: 0– 1 point, intermediate: 2– 3 points, and high: 4 points) associated with significantly different disease control rates (94.7% vs. 92.5% vs. 66.0%, respectively) and survival outcomes (3-year PFS: 55.8% vs. 29.1% vs. 11.9%, respectively). The scoring system had a good performance for the prediction of short-term disease control (area under the receiver operating characteristic curve [AUC]: 0.701) and long-term survival outcomes (time-dependent AUC for 5-year PFS: 0.713). The results were internally validated using an independent cohort (AUC for predicting disease control: 0.697; time-dependent AUC for 5-year PFS: 0.713).Conclusion: We developed and validated a clinically useful risk-scoring system that could predict the efficacy of first-line chemotherapy and survival outcomes in de novo mNPC patients. This system may help clinicians to design personalized treatment strategies.Keywords: metastatic nasopharyngeal carcinoma, nutritional status, cancer-related inflammation, chemotherapy efficacy, survival outcomesLi WZHua XLv SHLiang HLiu GYLu NBei WXXia WXXiang YQDove Medical Pressarticlemetastatic nasopharyngeal carcinomanutritional statuscancer-related inflammationchemotherapy efficacysurvival outcomesPathologyRB1-214Therapeutics. PharmacologyRM1-950ENJournal of Inflammation Research, Vol Volume 14, Pp 817-828 (2021)
institution DOAJ
collection DOAJ
language EN
topic metastatic nasopharyngeal carcinoma
nutritional status
cancer-related inflammation
chemotherapy efficacy
survival outcomes
Pathology
RB1-214
Therapeutics. Pharmacology
RM1-950
spellingShingle metastatic nasopharyngeal carcinoma
nutritional status
cancer-related inflammation
chemotherapy efficacy
survival outcomes
Pathology
RB1-214
Therapeutics. Pharmacology
RM1-950
Li WZ
Hua X
Lv SH
Liang H
Liu GY
Lu N
Bei WX
Xia WX
Xiang YQ
A Scoring System Based on Nutritional and Inflammatory Parameters to Predict the Efficacy of First-Line Chemotherapy and Survival Outcomes for De Novo Metastatic Nasopharyngeal Carcinoma
description Wang-Zhong Li,1,2,* Xin Hua,3,* Shu-Hui Lv,1,2,* Hu Liang,1,2 Guo-Ying Liu,1,2 Nian Lu,1,2 Wei-Xin Bei,1,2 Wei-Xiong Xia,1,2 Yan-Qun Xiang1,2 1State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 2Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 3Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yan-Qun Xiang; Wei-Xiong XiaDepartment of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of ChinaTel +86-1866-6096-623Email xiangyq@sysucc.org.cn; xiawx@sysucc.org.cnPurpose: We aimed to develop a simple scoring system based on baseline inflammatory and nutritional parameters to predict the efficacy of first-line chemotherapy and survival outcomes for de novo metastatic nasopharyngeal carcinoma (mNPC).Patients and Methods: We retrospectively collected ten candidate inflammatory and nutritional parameters from de novo mNPC patients who received platinum-based first-line chemotherapy treatment. We examined the effects of these ten candidate variables on progression-free survival (PFS) using the Cox regression model. We built a risk-scoring system based on the regression coefficients associated with the identified independent prognostic factors. The predictive accuracy of the scoring system was evaluated and independently validated.Results: A total of 460 patients were analyzed. Four independent prognostic factors were identified in a training cohort and were used to construct the scoring system, including nutritional risk index, C-reactive protein level, alkaline phosphatase level, and lactate dehydrogenase level. Based on the score obtained from the scoring system, we stratified patients into three prognostic subgroups (low: 0– 1 point, intermediate: 2– 3 points, and high: 4 points) associated with significantly different disease control rates (94.7% vs. 92.5% vs. 66.0%, respectively) and survival outcomes (3-year PFS: 55.8% vs. 29.1% vs. 11.9%, respectively). The scoring system had a good performance for the prediction of short-term disease control (area under the receiver operating characteristic curve [AUC]: 0.701) and long-term survival outcomes (time-dependent AUC for 5-year PFS: 0.713). The results were internally validated using an independent cohort (AUC for predicting disease control: 0.697; time-dependent AUC for 5-year PFS: 0.713).Conclusion: We developed and validated a clinically useful risk-scoring system that could predict the efficacy of first-line chemotherapy and survival outcomes in de novo mNPC patients. This system may help clinicians to design personalized treatment strategies.Keywords: metastatic nasopharyngeal carcinoma, nutritional status, cancer-related inflammation, chemotherapy efficacy, survival outcomes
format article
author Li WZ
Hua X
Lv SH
Liang H
Liu GY
Lu N
Bei WX
Xia WX
Xiang YQ
author_facet Li WZ
Hua X
Lv SH
Liang H
Liu GY
Lu N
Bei WX
Xia WX
Xiang YQ
author_sort Li WZ
title A Scoring System Based on Nutritional and Inflammatory Parameters to Predict the Efficacy of First-Line Chemotherapy and Survival Outcomes for De Novo Metastatic Nasopharyngeal Carcinoma
title_short A Scoring System Based on Nutritional and Inflammatory Parameters to Predict the Efficacy of First-Line Chemotherapy and Survival Outcomes for De Novo Metastatic Nasopharyngeal Carcinoma
title_full A Scoring System Based on Nutritional and Inflammatory Parameters to Predict the Efficacy of First-Line Chemotherapy and Survival Outcomes for De Novo Metastatic Nasopharyngeal Carcinoma
title_fullStr A Scoring System Based on Nutritional and Inflammatory Parameters to Predict the Efficacy of First-Line Chemotherapy and Survival Outcomes for De Novo Metastatic Nasopharyngeal Carcinoma
title_full_unstemmed A Scoring System Based on Nutritional and Inflammatory Parameters to Predict the Efficacy of First-Line Chemotherapy and Survival Outcomes for De Novo Metastatic Nasopharyngeal Carcinoma
title_sort scoring system based on nutritional and inflammatory parameters to predict the efficacy of first-line chemotherapy and survival outcomes for de novo metastatic nasopharyngeal carcinoma
publisher Dove Medical Press
publishDate 2021
url https://doaj.org/article/3d2e8351fd164258a5885dbc63e21e30
work_keys_str_mv AT liwz ascoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT huax ascoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT lvsh ascoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT liangh ascoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT liugy ascoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT lun ascoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT beiwx ascoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT xiawx ascoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT xiangyq ascoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT liwz scoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT huax scoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT lvsh scoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT liangh scoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT liugy scoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT lun scoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT beiwx scoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT xiawx scoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
AT xiangyq scoringsystembasedonnutritionalandinflammatoryparameterstopredicttheefficacyoffirstlinechemotherapyandsurvivaloutcomesfordenovometastaticnasopharyngealcarcinoma
_version_ 1718392847305015296