Applying post-neoadjuvant pathologic stage as prognostic tool in esophageal squamous cell carcinoma
Abstrak
BackgroundIt is still uncertain whether the newly released eighth American Joint Committee on Cancer (AJCC) post-neoadjuvant pathologic (yp) tumor-node-metastasis (TNM) stage for esophageal carcinoma can perform well regarding patient stratification. The current study aimed to assess the prognostication ability of the eighth AJCC ypTNM staging system and attempted to explore how to facilitate the staging system for more effective evaluation of prognosis.Materials and methodsA total of 486 patients treated with neoadjuvant radiotherapy/chemoradiotherapy (nRT/CRT) were enrolled. ypN stage was reclassified by recursive partitioning. Prognostic performance, monotonicity, homogeneity, and discriminatory of yp and modified yp (myp) staging systems were assessed by time-dependent receiver operating characteristic (ROC), linear trend log-rank test, likelihood ratio χ2 test, Harrell’s c statistic, and Akaike information criterion (AIC).ResultsThe ypT stage, ypN stage, and pathologic response were significant prognostic factors of overall survival. Survival was not discriminated well using the eighth AJCC ypN stage and ypTNM stage. Recursive partitioning reclassified mypN0-N2 as metastasis in 0, 1–2, and ≥3 regional lymph nodes. Applying the ypT stage, mypN stage, and pathologic response to construct the myp staging system, the myp stage performed better in time-dependent ROC, linear trend log-rank test, likelihood ratio χ2 test, Harrell’s c statistic, and AIC.ConclusionsThe eighth AJCC ypTNM staging system performed well in differentiating prognosis to some extent. By reclassifying the ypN stage and enrolling pathologic response as a staging element, the myp staging system holds significant potential for prognostic discrimination.
Topik & Kata Kunci
Penulis (24)
Weiming Han
Wei Deng
Qifeng Wang
Wenjie Ni
Chen Li
Zongmei Zhou
Jun Liang
Dongfu Chen
Qinfu Feng
Nan Bi
Tao Zhang
Xin Wang
Lei Deng
Wenqing Wang
Wenyang Liu
Jianyang Wang
Qi Xue
Yousheng Mao
Xiangyang Liu
Dekang Fang
Jian Li
Dali Wang
Jun Zhao
Zefen Xiao
Akses Cepat
- Tahun Terbit
- 2022
- Sumber Database
- DOAJ
- DOI
- 10.3389/fonc.2022.998238
- Akses
- Open Access ✓