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Pathological risk factors for lymph node metastasis in patients with submucosal invasive colorectal carcinoma

Authors Zhang Q, Wang L, Huang D, Xu M, Weng W, Ni S, Tan C, Sheng W

Received 28 July 2018

Accepted for publication 21 December 2018

Published 30 January 2019 Volume 2019:11 Pages 1107—1114

DOI https://doi.org/10.2147/CMAR.S181740

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Amy Norman

Peer reviewer comments 2

Editor who approved publication: Dr Rituraj Purohit


Qiongyan Zhang,1–3,* Lei Wang,1,2,* Dan Huang,1,2 Midie Xu,1,2 Weiwei Weng,1,2 Shujuan Ni,1,2 Cong Tan,1,2 Weiqi Sheng1,2

1Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; 2Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; 3Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China

*These authors contributed equally to this work

Background: Risk grade assessment determines therapy in patients with submucosal invasive colorectal carcinoma (CRC). However, treatment decisions are often difficult due to a lack of consensus on which risk factors should be considered. We aimed to identify predictive risk factors for lymph node metastasis (LNM) in a large cohort of submucosal invasive CRC patients from China.
Patients and methods: Following collection of clinicopathological data and disease-free survival (DFS) rates from 290 patients who underwent radical intestinal resection with regional lymphadenectomy, we immunohistochemically assessed expression of DNA mismatch repair (MMR) proteins and p53. The correlation between clinicopathological parameters, MMR expression, p53 status, and LNM status was determined using chi-squared tests and logistic analysis. Receiver operator characteristic curve analysis was used to compare the predictive values. The DFS curves were plotted using the Kaplan–Meier method.
Results: LNM was detected in 15.5% of the cases (45/290 patients). Three pathological characteristics, high tumor differentiation grade, lymphovascular invasion (LVI), and tumor budding, were all positively related to LNM in univariate and multivariate analyses (P<0.05). MMR status did not correlate with either LNM or the pathological characteristics (P>0.05). Overexpression of p53 was associated with tumor budding status (P=0.036). With a negative predicative value of 0.92 and area under the curve of 0.76 (95% CI: 0.68–0.85), the combination of these three factors provided optimal predictive ability. Patients with all three risk factors had poorer DFS (P<0.001).
Conclusion: High tumor grade, LVI, and positive tumor budding serve as useful LNM predictors in submucosal invasive CRC.

Keywords: CRC, LNM, risk factor, MMR, p53
 

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