[Analysis of recurrence pattern and prognosis of patients with cervical carcinoma and pelvic lymph node metastasis].

OBJECTIVE

To investigate the pattern of disease relapse and prognostic risk factor of patients with cervical carcinoma and pelvic lymph node metastasis.

METHODS

A total of 124 cases of International Federation of Gynecology and Obstetrics (FIGO) Ib1-IIa cervical carcinoma with pelvic node metastasis who were treated at the Cancer Center of Sun Yat-sen University during January 1994 to December 2001 were selected for this study. Prognosis and recurrence were retrospectively analyzed using the clinico-pathological data

RESULTS

The overall 5 year survival and 5 year disease-free survival were 63.3% and 61.4%, respectively. Overall recurrence rate was 39.5% (49/124), among which intra-pelvic relapse (61.0%, 25/41) was significantly more common than extra-pelvic relapse (31.7%,13/41; P=0.008). Multivariate analysis identified involvement of common iliac node as an independent prognostic factor (P=0.035). According to this factor, node-positive patients could be divided into low risk group (without common iliac node involvement, 104 cases) and high risk group (with common iliac node involvement, 20 cases). The 5 year disease-free survival were 69.4% and 24.5% respectively, with a significant difference (P=0.003). Intra-pelvic relapse was observed in 22.1% (23/104) of low risk and 25.0% (5/20) of high risk group respectively, with no significant difference (P>0.05). However extra-pelvic relapse was seen in 7.7% (8/104) of low risk and 40.0% (8/20) of high risk group, with a significant difference (P<0.01).

CONCLUSIONS

Common iliac node involvement is a significant factor influencing the prognosis of patients with cervical carcinoma and pelvic lymph node metastasis. Patients with positive common iliac nodes have significantly decreased 5 year disease-free survival and higher extra-pelvic disease recurrence rates compared with those whose common iliac nodes are negative. These findings provide important data for design of individualized treatment mode.