Literature DB >> 31652988

The Role of Post-Neoadjuvant Chemotherapy Tumor Volume for Prognostication and Treatment Guidance in Loco-Regionally Advanced Nasopharyngeal Carcinoma.

Fo-Ping Chen1,2, Dan-Wan Wen3,4, Feng Li5,6, Li Lin7,8, Jia Kou9,10, Wei-Hong Zheng11,12, Li Li13, Guan-Qun Zhou14,15, Ying Sun16,17.   

Abstract

The value of post-neoadjuvant chemotherapy (NACT) tumor volume for prognostication in loco-regionally advanced nasopharyngeal carcinoma (LA-NPC) is unascertained. Here, we recruited 4109 histologically proven LA-NPC (stage III-IVA) that were treated with radical chemo-intensive-modulated radiotherapy (IMRT). Post-NACT gross primary tumor (GTVp) and lymph node (GTVnd) volumes of each patient were calculated from planning computed tomography (CT). We observed similar linear association between GTVp/GTVnd and overall survival (OS); thresholds of 52 cm3 for GTVp and 12 cm3 for GTVnd were consistent for risk discretization for OS, disease-free survival (DFS), distant metastasis-free survival (DMFS), and local relapse-free survival (LRFS). Recursive partitioning analysis (RPA) modelling incorporating T-/N-categories and GTVp/GTVnd yielded four T-N-volume (TNV) risk groupings with disparate OS (p < 0.001). TNV risk stratification outperformed GTVp/GTVnd and eighth edition TNM for predicting OS (AUC 0.643 vs. 0.541-0.591; p < 0.001), DFS (0.629 vs. 0.545-0.580; p < 0.001), and DMFS (0.652 vs. 0.522-0.621; p < 0.001). NACT + concurrent chemoradiotherapy (CCRT) over NACT + IMRT was not superior for low- and low-intermediate-risk groupings (p > 0.05 for both), but superior for intermediate- and high-risk groupings in terms of OS (HR 0.68 (95% CI 0.47-0.99) for intermediate risk, 0.73 (0.55-0.97) for high risk; both p < 0.05). Overall, GTVp/GTVnd represent effective indicators for prognostication and decision-making in LA-NPC after NACT.

Entities:  

Keywords:  concurrent chemotherapy; intensity-modulated radiation therapy; nasopharyngeal carcinoma; neoadjuvant chemotherapy; treatment outcome; tumor volume

Year:  2019        PMID: 31652988     DOI: 10.3390/cancers11111632

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  8 in total

1.  Prognostic significance of MRI-based late-course tumor volume in locoregionally advanced nasopharyngeal carcinoma.

Authors:  Ge Yan; Yan Feng; Mingyao Wu; Chao Li; Yiran Wei; Li Hua; Guoqi Zhao; Zhekai Hu; Shengyu Yao; Lingtong Hou; Xuming Chen; Qianqian Liu; Qian Huang
Journal:  Radiat Oncol       Date:  2022-06-27       Impact factor: 4.309

Review 2.  Necrotic reshaping of the glioma microenvironment drives disease progression.

Authors:  Steven M Markwell; James L Ross; Cheryl L Olson; Daniel J Brat
Journal:  Acta Neuropathol       Date:  2022-01-17       Impact factor: 15.887

3.  Application Value of Magnetic Resonance Radiomics and Clinical Nomograms in Evaluating the Sensitivity of Neoadjuvant Chemotherapy for Nasopharyngeal Carcinoma.

Authors:  Chunmiao Hu; Dechun Zheng; Xisheng Cao; Peipei Pang; Yanhong Fang; Tao Lu; Yunbin Chen
Journal:  Front Oncol       Date:  2021-11-01       Impact factor: 6.244

4.  Residual Volume of Lymph Nodes During Chemoradiotherapy Based Nomogram to Predict Survival of Nasopharyngeal Carcinoma Patient Receiving Induction Chemotherapy.

Authors:  Yan Li; Jian Zang; Jingyi Liu; Shanquan Luo; Jianhua Wang; Bingxin Hou; Lina Zhao; Mei Shi
Journal:  Front Oncol       Date:  2021-09-06       Impact factor: 6.244

5.  Efficiency of high cumulative cisplatin dose in high- and low-risk patients with locoregionally advanced nasopharyngeal carcinoma.

Authors:  Yu-Ting Jiang; Kai-Hua Chen; Jie Yang; Zhong-Guo Liang; Ling Li; Song Qu; Xiao-Dong Zhu
Journal:  Cancer Med       Date:  2021-12-03       Impact factor: 4.452

6.  A Prognostic Predictive System Based on Deep Learning for Locoregionally Advanced Nasopharyngeal Carcinoma.

Authors:  Mengyun Qiang; Chaofeng Li; Yuyao Sun; Ying Sun; Liangru Ke; Chuanmiao Xie; Tao Zhang; Yujian Zou; Wenze Qiu; Mingyong Gao; Yingxue Li; Xiang Li; Zejiang Zhan; Kuiyuan Liu; Xi Chen; Chixiong Liang; Qiuyan Chen; Haiqiang Mai; Guotong Xie; Xiang Guo; Xing Lv
Journal:  J Natl Cancer Inst       Date:  2021-05-04       Impact factor: 13.506

7.  Development and validation of a web-based calculator to predict individualized conditional risk of site-specific recurrence in nasopharyngeal carcinoma: Analysis of 10,058 endemic cases.

Authors:  Chen-Fei Wu; Jia-Wei Lv; Li Lin; Yan-Ping Mao; Bin Deng; Wei-Hong Zheng; Dan-Wan Wen; Yue Chen; Jia Kou; Fo-Ping Chen; Xing-Li Yang; Zi-Qi Zheng; Zhi-Xuan Li; Si-Si Xu; Jun Ma; Ying Sun
Journal:  Cancer Commun (Lond)       Date:  2020-12-03

8.  Establishment of a Prognostic Nomogram for Patients With Locoregionally Advanced Nasopharyngeal Carcinoma Incorporating TNM Stage, Post-Induction Chemotherapy Tumor Volume and Epstein-Barr Virus DNA Load.

Authors:  Yu-Ting Jiang; Kai-Hua Chen; Jie Yang; Zhong-Guo Liang; Song Qu; Ling Li; Xiao-Dong Zhu
Journal:  Front Oncol       Date:  2021-06-16       Impact factor: 6.244

  8 in total

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