Survival of 231 cervical cancer patients, treated by radical hysterectomy, according to clinical and histopathological features.
OBJECTIVE
The purpose of the study was to estimate the five-year survival of cervical cancer patients after radical hysterectomy, taking into account clinical data and histopathological parameters.


METHODS
231 patients with invasive cervical carcinoma were diagnosed, surgically treated--Piver III--and followed-up. Histological examination of specimens was performed according to the British NHS-CSP guidelines.


RESULTS
We discovered no statistical significance as regards age at diagnosis, age at menarche and menopause, and number of pregnancies, deliveries and abortions, in relation to survival. We concluded that the clinical stage according to FIGO classification influenced survival. Statistical significances were: Ia2 vs Ib, Ib vs IIa and IIa vs more advanced than IIa. The following histopathological parameters correlated with survival: depth of cervical invasion, primary lesion volume, and parametrial, uterine, vaginal and lymph node involvement. Using Cox's proportional hazards model we found that only lymph node status and FIGO staging were independent parameters correlating with survival and mortality risk in our study.


CONCLUSIONS
Prognostic indexes classifying patients at specific disease stages into different categories of risk should be based on histopathological features listed above. Such indexes are yet to be validated in larger, prospective studies conducted in different patient populations.
Lukaszuk
K
K
Department of Gynaecological Endocrinology, Medical University of Gdańsk, Poland.
Liss
J
J
Nowaczyk
M
M
Sliwinski
W
W
Maj
B
B
Wozniak
I
I
Nakonieczny
M
M
Barwinska
D
D
D000328:Adult; D000367:Age Factors; D000368:Aged; D018572:Disease-Free Survival; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007044:Hysterectomy / Q000401:mortality*; D008875:Middle Aged; D009367:Neoplasm Staging; D011044:Poland / Q000453:epidemiology; D011379:Prognosis; D016016:Proportional Hazards Models; D018714:Radiotherapy, Adjuvant; D012044:Regression Analysis; D016896:Treatment Outcome; D002583:Uterine Cervical Neoplasms / Q000401:mortality* / Q000473:pathology / Q000601:surgery*; D016387:Women's Health