| Literature DB >> 26844498 |
Metin Keskin1, Adem Bayraktar, Emre Sivirikoz, Gülcin Yegen, Bora Karip, Esra Saglam, Mehmet Türker Bulut, Emre Balik.
Abstract
The goal of rectal cancer treatment is to minimize the local recurrence rate and extend the disease-free survival period and survival. For this aim, obtainment of negative circumferential radial margin (CRM) plays an important role. This study evaluated predictive factors for positive CRM status and its effect on patient survival in mid- and distal rectal tumors.Patients who underwent curative resection for rectal cancer were included. The main factors were demographic data, tumor location, surgical technique, neoadjuvant therapy, tumor diameter, tumor depth, lymph node metastasis, mesorectal integrity, CRM, the rate of local recurrence, distant metastasis, and overall and disease-free survival. Statistical analyses were performed by using the Chi-squared test, Fisher exact test, Student t test, Mann-Whitney U test and the Mantel-Cox log-rank sum test.A total of 420 patients were included, 232 (55%) of whom were male. We observed no significant differences in patient characteristics or surgical treatment between the patients who had positive CRM and who had negative CRM, but a higher positive CRM rate was observed in patients undergone abdominoperineal resection (APR) (P < 0.001). Advanced T-stage (P < 0.001), lymph node invasion (P = 0.001) and incomplete mesorectum (P = 0.007) were encountered significantly more often in patients with positive CRM status. Logistic regression analysis revealed that APR (P < 0.001) and open resection (P = 0.046) were independent predictors of positive CRM status. Moreover, positive CRM was associated with decreased 5-year overall and disease-free survival (P = 0.002 and P = 0.004, respectively).This large single-institution series demonstrated that APR and open resection were independent predictive factors for positive CRM status in rectal cancer. Positive CRM independently decreased the 5-year overall and disease-free survival rates.Entities:
Mesh:
Year: 2016 PMID: 26844498 PMCID: PMC4748915 DOI: 10.1097/MD.0000000000002669
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
FIGURE 1Exclusion criteria.
Demographics and Patient Characteristics
Pathologic Risk Factors
Independent Predictors of CRM Involvement
Survival Analysis (Log-Rank Sum Test)
FIGURE 2Five-year overall survival curves according to CRM using Kaplan–Meier analysis.
FIGURE 3Five-year disease-free survival curves according to CRM using Kaplan–Meier analysis.