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Predictive value of postoperative lymph node status for adjuvant therapy in esophageal cancer patients after radical resection / 中国肿瘤临床
Chinese Journal of Clinical Oncology ; (24): 66-71, 2020.
Article in Chinese | WPRIM | ID: wpr-861526
ABSTRACT

Objective:

To analyze the predictive value of postoperative lymph node status for adjuvant therapy in esophageal cancer patients after radical resection.

Methods:

The indexes related to postoperative lymph node of 354 patients with esophageal carcinoma, who underwent radical surgery during a period between January 2007 and December 2010, were retrospectively analyzed. Univariate analysis was performed by Log-rank test and multivariate analysis by a Cox regression model.

Results:

The 1-, 3- and 5-year overall survival (OS) rates were 84.46%, 64.12% and 54.06%, respectively, and the median survival time was 86.49 months. The 5-year OS rate of N0, N1, N2 and N3 stage patients were 93.13%, 55.50%, 19.80% and 3.45%, respectively. And it is obviously different from each other in PN stage (χ2=225.161, P8.51% were 81.63% and 23.40%, respectively. There were significant differences between the two groups (χ2=143.504, P8.51% groups with adjuvant therapy showed a significantly better survival than those with surgery alone and without adjuvant therapy (χ2=12.609, P8.51% who had undergone adjuvant therapy showed a significantly better survival than those with simple surgery and without adjuvant therapy (χ2=12.609, P<0.001).

Conclusions:

The combination of PN stage and LNR as a better factor for predicting the prognosis of patients with esophageal cancer after radical resection can predict the value of adjuvant therapy. The patients with PN2 stage and higher LNR should choose postoperative adjuvant therapy.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Clinical Oncology Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Clinical Oncology Year: 2020 Type: Article