Literature DB >> 1727662

Multivariate analysis of the histopathologic prognostic factors of cervical cancer in patients undergoing radical hysterectomy.

T Kamura1, N Tsukamoto, N Tsuruchi, T Saito, T Matsuyama, K Akazawa, H Nakano.   

Abstract

Three hundred forty-five patients with invasive carcinoma of the uterine cervix, Stages Ib (211 patients) and II (134 patients), underwent radical hysterectomy and pelvic lymphadenectomy. The influence of histologic factors including histologic subtype, maximum depth of cervical stromal invasion, degree of stromal invasion, longitudinal tumor diameter, lymph-vascular space invasion, corpus invasion, parametrial invasion, vaginal invasion, and pelvic lymph node (PLN) metastases on survival were examined by multivariate analysis. Univariate analysis revealed that all the variables except corpus invasion and vaginal invasion were significant in survival (P less than 0.05). Among these variables, however, PLN metastases, histologic subtype, and longitudinal tumor diameter were identified as independent and significant prognostic factors by multivariate analysis using Cox regression models. The prognostic index (PI), defined by the model (an indicator of the patient's place in the prognostic spectrum), was able to divide the patients into three prognostic groups. The key factors in the definition of these groups were (1) squamous cell carcinoma, small tumor diameter, and no PLN metastases for the good prognostic group and (2) PLN metastasis in two or more node groups, adenocarcinoma with one positive PLN group, or squamous cell carcinoma with one PLN group and large diameter for the poor prognostic group. These prognostic findings could predict the prognosis more precisely than that of clinical staging.

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Year:  1992        PMID: 1727662     DOI: 10.1002/1097-0142(19920101)69:1<181::aid-cncr2820690130>3.0.co;2-b

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


  29 in total

Review 1.  Up-to-date management of lymph node metastasis and the role of tailored lymphadenectomy in cervical cancer.

Authors:  Noriaki Sakuragi
Journal:  Int J Clin Oncol       Date:  2007-06-27       Impact factor: 3.402

2.  Management of lymph nodes in the treatment of gynecologic cancers.

Authors:  Toshiharu Kamura
Journal:  Int J Clin Oncol       Date:  2007-06-27       Impact factor: 3.402

3.  Node-by-node correlation between MR and PET/CT in patients with uterine cervical cancer: diffusion-weighted imaging versus size-based criteria on T2WI.

Authors:  Eugene K Choi; Jeong Kon Kim; Hyuck Jae Choi; Seong Ho Park; Bum-Woo Park; Namkug Kim; Jae Seung Kim; Ki Chun Im; Gyunggoo Cho; Kyoung-Sik Cho
Journal:  Eur Radiol       Date:  2009-03-11       Impact factor: 5.315

4.  Prognostic significance of positive lymph node number in early cervical cancer.

Authors:  Jung-Woo Park; Jong Woon Bae
Journal:  Mol Clin Oncol       Date:  2016-03-30

5.  Evaluation of adjuvant chemotherapy after abdominal trachelectomy for cervical cancer: a single-institution experience.

Authors:  Kaoru Okugawa; Hideaki Yahata; Kenzo Sonoda; Keisuke Kodama; Hiroshi Yagi; Tatsuhiro Ohgami; Masafumi Yasunaga; Ichiro Onoyama; Eisuke Kaneki; Kazuo Asanoma; Hiroaki Kobayashi; Kiyoko Kato
Journal:  Int J Clin Oncol       Date:  2020-09-03       Impact factor: 3.402

6.  Diagnosis, Therapy and Follow-up of Cervical Cancer. Guideline of the DGGG, DKG and DKH (S3-Level, AWMF Registry No. 032/033OL, May 2021) - Part 2 with Recommendations on Psycho-oncology, Rehabilitation, Follow-up, Recurrence, Palliative Therapy and Healthcare Facilities.

Authors:  Tanja Fehm; Frederik A Stübs; Martin C Koch; Peter Mallmann; Christian Dannecker; Anna Dietl; Anna Sevnina; Franziska Mergel; Laura Lotz; Anne Ehret; Daniel Gantert; Franca Martignoni; Jan-Philipp Cieslik; Jan Menke; Olaf Ortmann; Carmen Stromberger; Karin Oechsle; Beate Hornemann; Friederike Mumm; Christoph Grimm; Alina Sturdza; Edward Wight; Kristina Loessl; Michael Golatta; Volker Hagen; Timm Dauelsberg; Ingo Diel; Karsten Münstedt; Eberhard Merz; Dirk Vordermark; Katja Lindel; Christian Wittekind; Volkmar Küppers; Ralph Lellé; Klaus Neis; Henrik Griesser; Birgit Pöschel; Manfred Steiner; Ulrich Freitag; Tobias Gilster; Alexander Schmittel; Michael Friedrich; Heidemarie Haase; Marion Gebhardt; Ludwig Kiesel; Michael Reinhardt; Michael Kreißl; Marianne Kloke; Lars-Christian Horn; Regina Wiedemann; Simone Marnitz; Anne Letsch; Isabella Zraik; Bernhard Mangold; Jochen Möckel; Céline Alt; Pauline Wimberger; Peter Hillemanns; Kerstin Paradies; Alexander Mustea; Dominik Denschlag; Ulla Henscher; Reina Tholen; Simone Wesselmann; Matthias W Beckmann
Journal:  Geburtshilfe Frauenheilkd       Date:  2022-02-11       Impact factor: 2.915

7.  The impact of Aurora kinase A genetic polymorphisms on cervical cancer progression and clinicopathologic characteristics.

Authors:  Pei-Ju Wu; Chun-Hao Wang; Ming-Hong Hsieh; Chung-Yuan Lee; Po-Hui Wang; Chiao-Wen Lin; Shun-Fa Yang; Maw-Sheng Lee
Journal:  Int J Med Sci       Date:  2021-04-22       Impact factor: 3.738

8.  Impact of pentraxin 3 genetic variants on uterine cervical cancer clinicopathologic characteristics.

Authors:  Yi-Hung Sun; Ying-Hsiang Chou; Chun-Hao Wang; Yi-Hsuan Hsiao; Chung-Yuan Lee; Shun-Fa Yang; Po-Hui Wang
Journal:  Int J Med Sci       Date:  2021-04-07       Impact factor: 3.738

9.  Neoangiogenesis in early cervical cancer: correlation between color Doppler findings and risk factors. A prospective observational study.

Authors:  Matias Jurado; Rosendo Galván; Rafael Martinez-Monge; Jesús Mazaira; Juan Luis Alcazar
Journal:  World J Surg Oncol       Date:  2008-11-25       Impact factor: 2.754

10.  Uterine cervical malignancy: diagnostic accuracy of MRI with histopathologic correlation.

Authors:  Mohammed A Shweel; Enas A Abdel-Gawad; Ehab Ali Abdel-Gawad; Hosny S Abdelghany; Alshimaa M Abdel-Rahman; Emad M Ibrahim
Journal:  J Clin Imaging Sci       Date:  2012-07-28
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