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Negative lymph node count is an independent prognostic factor for patients with rectal cancer who received preoperative radiotherapy

Overview of attention for article published in BMC Cancer, March 2017
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Title
Negative lymph node count is an independent prognostic factor for patients with rectal cancer who received preoperative radiotherapy
Published in
BMC Cancer, March 2017
DOI 10.1186/s12885-017-3222-8
Pubmed ID
Authors

Xinxing Li, Hao Lu, Kai Xu, Haolu Wang, Xiaowen Liang, Zhiqian Hu

Abstract

Negative lymph node (NLN) count has been reported to provide more accurate prognostic information than the N stage alone in patients with rectal cancer (RC). Since preoperative radiotherapy (Pre-RT) can significantly affect the LN status, it is unclear whether NLN count still has prognostic value count on survival of patients with RC who received Pre-RT. In this study, clinicopathological characteristics, number of positive LNs and survival time were collected from Surveillance, Epidemiology, and End Results Program (SEER)-registered RC patients. Univariate and multivariate Cox proportional hazards models were used to assess the risk factors for survival. X-tile plots identified 9 (P < 0.001) as the optimal cutoff NLN value to divide the patients into high and low risk subsets in terms of cause specific survival (CSS). NLN count was validated as independently prognostic factor in univariate and multivariate analysis (P < 0.001). Subgroup analysis showed that NLN count was an independently prognostic factor for patients with stage ypII (P = 0.002) and ypIII (P < 0.001). Our results firmly demonstrated that NLN count provides accurate prognostic information for RC patients with Pre-RT.

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Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 30%
Student > Bachelor 2 20%
Lecturer 1 10%
Student > Ph. D. Student 1 10%
Unknown 3 30%
Readers by discipline Count As %
Medicine and Dentistry 5 50%
Nursing and Health Professions 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Unknown 3 30%