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Early response to neoadjuvant chemotherapy can help predict long-term survival in patients with cervical cancer

It is still controversial whether cervical cancer patients with clinical responses after neoadjuvant chemotherapy (NACT) have a better long-term survival or not. This study was designed to investigate the effect of the clinical response on the disease-free survival (DFS) of cervical cancer patients...

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Detalles Bibliográficos
Autores principales: Li, Xiong, Huang, Kecheng, Zhang, Qinghua, Shen, Jian, Zhou, Hang, Yang, Runfeng, Wang, Lin, Liu, Jiong, Zhang, Jincheng, Sun, Haiying, Jia, Yao, Du, Xiaofang, Wang, Haoran, Deng, Song, Ding, Ting, Jiang, Jingjing, Lu, Yunping, Li, Shuang, Wang, Shixuan, Ma, Ding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5350004/
https://www.ncbi.nlm.nih.gov/pubmed/27557523
http://dx.doi.org/10.18632/oncotarget.11460
Descripción
Sumario:It is still controversial whether cervical cancer patients with clinical responses after neoadjuvant chemotherapy (NACT) have a better long-term survival or not. This study was designed to investigate the effect of the clinical response on the disease-free survival (DFS) of cervical cancer patients undergoing NACT. A total of 853 patients from a retrospective study were used to evaluate whether the clinical response was an indicator for the long-term response, and 493 patients from a prospective cohort study were used for further evaluation. The survival difference was detected by log-rank test, univariate and multivariate Cox regression and a pooled analysis. The log-rank test revealed that compared with non-responders, the DFS of responders was significantly higher in the retrospective data (P = 0.007). Univariate Cox regression showed that the clinical response was an indicator of long-term survival in the retrospective study (HR 1.83, 95% CI 1.18-2.85, P = 0.007). In a multivariate Cox model, the clinical response was still retained as an independent significant prognostic factor in the retrospective study (HR 1.59, 95% CI 1.01-2.50, P = 0.046). The result was also validated in the prospective data with similar results. These findings implied that the clinical response can be regarded as an independent predictor of DFS.