Literature DB >> 20648587

Distant nodal metastases from intrathoracic esophageal squamous cell carcinoma: characteristics of long-term survivors after chemoradiotherapy.

Yin-Kai Chao1, Yi-Cheng Wu, Yun-Hen Liu, Chen-Kan Tseng, Hsien-Kun Chang, Ming-Ju Hsieh, Yen Chu, Hui-Ping Liu.   

Abstract

BACKGROUND: Non-regional lymph node metastasis in intrathoracic esophageal cancer is classified as M1 lesion with poor prognosis following surgery alone. We studied the controversial question of whether chemoradiotherapy (CRT) improves survival of these patients.
METHODS: A cohort of patients with clinically overt nodal M1 disease, which could be encompassed by a tolerable radiation therapy port, was selected from the database of the Chang Gung Memorial Hospital.
RESULTS: From 1994 to 2005, 54 nodal stage IV intrathoracic esophageal squamous cell carcinoma (SCC) patients received neoadjuvant CRT. Significant response occurred in 24 patients. Scheduled esophagectomy was performed in 26 patients. The 3-year overall survival (OS) and disease-free survival (DFS) for the whole group were 27% (median: 14.2 months) and 22% (median: 14.7 months), respectively. Multivariate analysis identified pretherapy lymph nodes classified as M1a and R0 resection after CRT as independent favorable prognosticators. Median survival reached 36.9 months in the pretherapy M1a subgroup as opposed to 12.5 months in the M1b subgroup (3-year-DFS: 40% vs. 10%, P = 0.0117). Scheduled surgery after CRT benefits only after R0 resection (3-year-DFS: 36%, median survival: 45 months). The group with incomplete resection had a high surgical risk and dismal survival compared to the non-surgery group (3-year-DFS: 0% vs. 9%, 9.5 vs. 10.5 months).
CONCLUSIONS: Pretherapy M1a disease had a significantly better survival than nodal M1b disease after CRT in SCC. Aggressive surgical treatment after CRT is reserved for cases when complete resection is anticipated. (c) 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20648587     DOI: 10.1002/jso.21588

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  8 in total

1.  Clinical research of individualized therapy in advanced esophageal cancer based on the ERCC1 C8092A genotype.

Authors:  Yi-Wei Yao; Yi-Fu He; Xing-Hua Han; Chu-Shu Ji; Bing Hu
Journal:  Oncol Lett       Date:  2018-06-04       Impact factor: 2.967

2.  Clinical results of multimodality therapy for esophageal cancer with distant metastasis.

Authors:  Masakuni Sakaguchi; Toshiya Maebayashi; Takuya Aizawa; Naoya Ishibashi; Tsutomu Saito
Journal:  J Thorac Dis       Date:  2018-03       Impact factor: 2.895

3.  Surgery Combined with Radiotherapy Improved Survival in Metastatic Esophageal Cancer in a Surveillance Epidemiology and End Results Population-based Study.

Authors:  San-Gang Wu; Wei-Hao Xie; Zhao-Qiang Zhang; Jia-Yuan Sun; Feng-Yan Li; Huan-Xin Lin; Zhen-Yu He
Journal:  Sci Rep       Date:  2016-06-21       Impact factor: 4.379

4.  Sites of metastasis and overall survival in esophageal cancer: a population-based study.

Authors:  San-Gang Wu; Wen-Wen Zhang; Zhen-Yu He; Jia-Yuan Sun; Yong-Xiong Chen; Ling Guo
Journal:  Cancer Manag Res       Date:  2017-12-06       Impact factor: 3.989

5.  Palliative resection or radiation of primary tumor prolonged survival for metastatic esophageal cancer.

Authors:  Jing Xu; Donghui Lu; Li Zhang; Jian Li; Guoping Sun
Journal:  Cancer Med       Date:  2019-10-14       Impact factor: 4.452

6.  A population-based predictive model predicting candidate for primary tumor surgery in patients with metastatic esophageal cancer.

Authors:  Zhichao Liu; Xiaobin Zhang; Bin Li; Haoyao Jiang; Yang Yang; Rong Hua; Yifeng Sun; Zhigang Li
Journal:  J Thorac Dis       Date:  2021-02       Impact factor: 2.895

Review 7.  Resection of oesophageal and oesophagogastric junction cancer liver metastases - a summary of current evidence.

Authors:  Andreas R R Weiss; Noel E Donlon; Hans J Schlitt; Christina Hackl
Journal:  Langenbecks Arch Surg       Date:  2021-12-03       Impact factor: 2.895

8.  A machine learning model predicting candidates for surgical treatment modality in patients with distant metastatic esophageal adenocarcinoma: A propensity score-matched analysis.

Authors:  Fang Liao; Shuangbin Yu; Ying Zhou; Benying Feng
Journal:  Front Oncol       Date:  2022-07-22       Impact factor: 5.738

  8 in total

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