Literature DB >> 8634988

Prognostic factors of early stage cervical cancer treated by radical hysterectomy.

B U Sevin1, M Nadji, B Lampe, Y Lu, S Hilsenbeck, O R Koechli, H E Averette.   

Abstract

BACKGROUND: This study was performed to identify pathologic and clinical features that best correlate with lymph node metastasis and disease free survival among patients with Stage I and II cervical cancer treated by radical hysterectomy.
METHODS: Three hundred-seventy patients with complete clinical information and pathologic material, including cone and cervical biopsies, were selected for analysis. Of these patients, 301 with clinical stages I and II disease were the subject of this paper. The results of patients with microinvasive carcinoma of the cervix, as defined by the Society of Gynecologic Oncologists (depth of invasion < or = 3 mm and no lymph node vascular space invasion), were reported previously and excluded from this analysis. Patients with small cell carcinoma of the cervix were found to have a very poor prognosis (disease free 5-year survival of 36%) and were also excluded from this analysis (Sevin BU, Nadji M, Metkoch MW, Lu Y, Averette HE. Unpublished data, 1995). Variables studied were patient age, weight, race, marital status, and economic status; tumor size; depth of invasion; lymph node-vascular space involvement; cell type; tumor grade; lymph node metastasis; and number of lymph nodes removed. The influence of these variables on survival was examined by univariate analysis with use of Cox's regression model and the log rank test for comparison of survival curves.
RESULTS: Factors that predict disease free survival, ranked by degree of significance, were depth of invasion, tumor size, lymph node-vascular space invasion, number of positive nodes, tumor volume, clinical stage, and tumor extension to the vagina or surgical margins.
CONCLUSIONS: Radical hysterectomy and bilateral lymphadenectomy is standard therapy for patients with Stage IB and IIA carcinoma of the cervix. A variety of surgically defined risk factors predict 5-year disease free survival, and many of these factors are related. Identification of independent risk factors requires a multivariate analysis of data.

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Year:  1995        PMID: 8634988     DOI: 10.1002/1097-0142(19951115)76:10+<1978::aid-cncr2820761313>3.0.co;2-k

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  16 in total

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2.  [Cervix carcinoma, stage IB and IIA without lymph node involvement: the role of adjuvant radiotherapy after radical hysterectomy].

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Journal:  Strahlenther Onkol       Date:  1998-08       Impact factor: 3.621

3.  Molecular biomarkers in the decision of treatment of cervical carcinoma patients.

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Authors:  L-C Horn; M W Beckmann; M Follmann; M C Koch; P Mallmann; S Marnitz; D Schmidt
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5.  USPIO-enhanced MRI for preoperative staging of gynecological pelvic tumors: preliminary results.

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7.  Prognostic Significance of Clinicopathological Factors Influencing Overall Survival and Event-Free Survival of Patients with Cervical Cancer: A Systematic Review and Meta-Analysis.

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Journal:  Med Sci Monit       Date:  2022-03-09

8.  Expressions of EphA2 and EphrinA-1 in early squamous cell cervical carcinomas and their relation to prognosis.

Authors:  Ruth Holm; Gregg Van de Putte; Zhenhe Suo; A Kathrine Lie; Gunnar B Kristensen
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9.  The expression of ribonucleotide reductase M2 in the carcinogenesis of uterine cervix and its relationship with clinicopathological characteristics and prognosis of cancer patients.

Authors:  Ying-Fang Su; Tzu-Fan Wu; Jiunn-Liang Ko; Hsiu-Ting Tsai; Yi-Torng Tee; Ming-Hsien Chien; Chi-Hung Chou; Wea-Lung Lin; Hui-Ying Low; Ming-Yung Chou; Shun-Fa Yang; Po-Hui Wang
Journal:  PLoS One       Date:  2014-03-17       Impact factor: 3.240

10.  Combining the negative lymph nodes count with the ratio of positive and removed lymph nodes can better predict the postoperative survival in cervical cancer patients.

Authors:  Ying Chen; Lei Zhang; Jing Tian; Xiubao Ren; Quan Hao
Journal:  Cancer Cell Int       Date:  2013-02-01       Impact factor: 5.722

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