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DOI 10.1002/jso.25963

Медицинская библиотека · Journal of surgical oncology · 2020

Predictors of lymph node metastases in patients with mucinous appendiceal adenocarcinoma.

Shannon Adrienne B, Goldberg Drew, Song Yun, Paulson Emily C, Roses Robert E, Fraker Douglas L, Kelz Rachel R, Miura John, Karakousis Giorgos C

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Аннотация

BACKGROUND

Lymph node metastasis (LN+) is a prognostic factor in appendiceal cancers, but predictors and outcomes for LN+  in mucinous appendiceal adenocarcinoma (MAC) remain poorly defined.

METHODS

Patients were identified from the 2010 to 2016 NCDB who underwent surgical resection as first-line management for Stage I-III mucinous appendiceal cancer. A LN+ risk-score model was developed using multivariable regression on a training data set and internally validated using a testing data set. Three-year overall survival (OS) was analyzed by Cox proportional hazards regression.

RESULTS

Of 1158 patients, LN+ (N = 244, 21.1%) patients were more likely to have higher pT group and grade of disease, lymphovascular invasion (LVI), and positive margins on univariate analyses. Predictive factors associated with LN+ on multivariable analysis included positive surgical margins (odds ratio [OR] 3.00, P <.0001), higher grade (moderately differentiated: OR, 2.16, P < .0001; poorly or undifferentiated: OR, 3.07, P < .0001), and LVI (OR, 7.28, P < .0001). A validated risk-score model using these factors was developed with good performance (AUC 0.749). LN+ patients had a worse 3-year OS compared with LN- patients (17.4% vs 82.6%, hazard ratio 1.96, P = .001).

CONCLUSIONS

LN+ is associated with worse survival in patients with MAC. A risk-score model using margin status, LVI, and grade can accurately risk stratify patients for LN+.

Для цитирования: Shannon Adrienne B, Goldberg Drew, Song Yun, Paulson Emily C, Roses Robert E, Fraker Douglas L, Kelz Rachel R, Miura John, Karakousis Giorgos C. Predictors of lymph node metastases in patients with mucinous appendiceal adenocarcinoma.. Journal of surgical oncology. 2020. DOI: 10.1002/jso.25963.

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