Korean
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Cancer Management and Research 2020

Prognosis Value of Platelet Counts, Albumin and Neutrophil-Lymphocyte Ratio of Locoregional Recurrence in Patients with Operable Head and Neck Squamous Cell Carcinoma.

등록 된 사용자 만 기사를 번역 할 수 있습니다.
로그인 / 가입
링크가 클립 보드에 저장됩니다.
Jing Ye
Bing Liao
Xiaohua Jiang
Zhihuai Dong
Sunhong Hu
Yuehui Liu
Mang Xiao

키워드

요약

Peripheral blood inflammation factor neutrophil-lymphocyte ratio (NLR), platelet count (PLT) and nutritional factor serum albumin (ALB) have been proposed as prognostic markers of head and neck squamous carcinoma cancer (HNSCC) in recent years. In the current study, nomogram predict models based on pre-treatment hematological parameters and a modified risk-stratified score system have been built.A total of 197 patients with oropharyngeal, hypopharyngeal and laryngeal cancers receiving multimodality treatment between 2012 and 2014 were included. The pre-treatment ALB, neutrophil, lymphocyte and platelet count (PLT) were detected. Cancer-specific survival and locoregional recurrence (LRC) by 5 years' follow-up in the cases were obtained. To integrate clinical characteristics, we propose a modified risk-stratified score system. Kaplan-Meier method, proportional hazards COX model, logistic models were used to establish nomograms within external validation.

Results
Five-year LRC was decreased (p=0.004) for 140 patients with pre-treatment NLR <2.77. Five-year LRC and 5-year cancer-specific survival were decreased (p=0.031, p=0.021) with pre-treatment PLT ≥248×109/L. Comparison of univariate parametric models demonstrated that pre-treatment NLR evaluation and PLT>248×109/L were better among tested models. On Bayesian information criteria (BIC) analysis, the optimal prognostic model was then used to develop nomograms predicting 3- and 5-year LRC. The external validation of this predictive model was confirmed in 57 patients from another hospital.

Conclusion
Pre-treatment NLR elevation and PLT>248×109/L are promising predictors of prognosis in patients with operable HNSCC. Nomograms based on the pre-treatment hematological markers and modified risk-stratified score system provide distinct risk stratifications. There results provided the feasibility of anti-inflammatory and antiplatelet treatments for HNSCC patients.

페이스 북
페이지에 가입하세요

과학이 뒷받침하는 가장 완벽한 약초 데이터베이스

  • 55 개 언어로 작동
  • 과학이 뒷받침하는 약초 치료제
  • 이미지로 허브 인식
  • 인터랙티브 GPS지도-위치에 허브 태그 지정 (출시 예정)
  • 검색과 관련된 과학 출판물 읽기
  • 효과로 약초 검색
  • 관심사를 정리하고 뉴스 연구, 임상 실험 및 특허를 통해 최신 정보를 확인하세요.

증상이나 질병을 입력하고 도움이 될 수있는 약초에 대해 읽고 약초를 입력하고 사용되는 질병과 증상을 확인합니다.
* 모든 정보는 발표 된 과학 연구를 기반으로합니다.

Google Play badgeApp Store badge