Literature DB >> 25163381

Survival of Australian women with invasive epithelial ovarian cancer: a population-based study.

Satyamurthy Anuradha1, Penelope M Webb2, Penny Blomfield3, Alison H Brand4, Michael Friedlander5, Yee Leung6, Andreas Obermair7, Martin K Oehler8, Michael Quinn9, Christopher Steer10, Susan J Jordan2.   

Abstract

OBJECTIVE: To describe survival patterns in a nationally complete cohort of Australian women with epithelial ovarian cancer, by sociodemographic and clinical factors. DESIGN, SETTING AND PARTICIPANTS: All 1192 women diagnosed with invasive epithelial ovarian cancer in 2005 were identified through state-based cancer registries. We obtained detailed information from their medical records in 2009 and updated survival data in 2012. MAIN OUTCOME MEASURES: Crude 3-year, 5-year and 7-year survival rates; 3-year and 5-year conditional survival; and hazard ratios (HRs) for the association of participant and cancer characteristics with survival, from multivariable Cox proportional hazards models.
RESULTS: Overall crude 5-year survival was 35% (95% CI, 33%-38%). Conditional survival increased moderately for women who lived beyond a year from diagnosis, although for women alive 2 years after diagnosis, the probability of surviving a further 5 years was still only 53% (95% CI, 49%-57%). Increasing age and disease stage were most strongly associated with poor survival. After adjusting for these, survival was significantly worse for women with carcinosarcomas (HRadj, 2.1 [95% CI, 1.3-3.2]), clear cell (HRadj, 1.7 [95% CI, 1.2-2.3]) and mucinous (HRadj, 2.6 [95% CI, 1.6-4.0]) cancers than for women with serous cancers. Presence of ascites at diagnosis (HRadj, 1.5 [95% CI, 1.3-1.8]), Charlson comorbidity score ≥ 3 (HRadj, 1.5 [95% CI, 1.1-2.1]), relative socioeconomic disadvantage (HRadj, 1.2 [95% CI, 1.1-1.4]) and regional-remote residence (HRadj, 1.2 [95% CI, 1.0-1.4]) were also associated with poorer survival.
CONCLUSIONS: Along with expected adverse effects of age and stage, we found survival differences by histological subtype, presence of ascites and comorbidities. Whether geographic and socioeconomic differences relate to treatment access or other factors warrants further investigation. Conditional survival estimates confirm the ongoing poor long-term prognosis for women with ovarian cancer, reinforcing the need for prevention and better treatments.

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Year:  2014        PMID: 25163381     DOI: 10.5694/mja14.00132

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  21 in total

1.  IMP3 is upregulated in primary ovarian mucinous carcinoma and promotes tumor progression.

Authors:  Qin Zhu; Yuqing Qu; Qiongyan Zhang; Linghui Lu; Weiwei Weng; Hao Zhang; Lihong Zhang; Yan Ning; Yiqin Wang
Journal:  Am J Transl Res       Date:  2017-07-15       Impact factor: 4.060

2.  BCL6 is a negative prognostic factor and exhibits pro-oncogenic activity in ovarian cancer.

Authors:  Yi-Qin Wang; Mi-Die Xu; Wei-Wei Weng; Ping Wei; Yu-Si Yang; Xiang Du
Journal:  Am J Cancer Res       Date:  2014-12-15       Impact factor: 6.166

3.  Ubiquitin-specific protease 14 (USP14) regulates cellular proliferation and apoptosis in epithelial ovarian cancer.

Authors:  Yingying Wang; Juan Wang; Jianxin Zhong; Yan Deng; Qinghua Xi; Song He; Shuyun Yang; Lifei Jiang; Menghui Huang; Chunhui Tang; Rong Liu
Journal:  Med Oncol       Date:  2014-11-28       Impact factor: 3.064

4.  Germline BRCA variants, lifestyle and ovarian cancer survival.

Authors:  Kate Gersekowski; Rachel Delahunty; Kathryn Alsop; Ellen L Goode; Julie M Cunningham; Stacey J Winham; Paul Pharoah; Honglin Song; Susan Jordan; Sian Fereday; Anna DeFazio; Michael Friedlander; Andreas Obermair; Penelope M Webb
Journal:  Gynecol Oncol       Date:  2022-04-07       Impact factor: 5.304

5.  The association between socioeconomic status and tumour stage at diagnosis of ovarian cancer: A pooled analysis of 18 case-control studies.

Authors:  Camilla Præstegaard; Susanne K Kjaer; Thor S S Nielsen; Signe M Jensen; Penelope M Webb; Christina M Nagle; Estrid Høgdall; Harvey A Risch; Mary Anne Rossing; Jennifer A Doherty; Kristine G Wicklund; Marc T Goodman; Francesmary Modugno; Kirsten Moysich; Roberta B Ness; Robert P Edwards; Ellen L Goode; Stacey J Winham; Brooke L Fridley; Daniel W Cramer; Kathryn L Terry; Joellen M Schildkraut; Andrew Berchuck; Elisa V Bandera; Lisa Paddock; Lambertus A Kiemeney; Leon F Massuger; Nicolas Wentzensen; Paul Pharoah; Honglin Song; Alice S Whittemore; Valerie McGuire; Weiva Sieh; Joseph Rothstein; Hoda Anton-Culver; Argyrios Ziogas; Usha Menon; Simon A Gayther; Susan J Ramus; Aleksandra Gentry-Maharaj; Anna H Wu; Celeste L Pearce; Malcolm C Pike; Alice W Lee; Jenny Chang-Claude; Allan Jensen
Journal:  Cancer Epidemiol       Date:  2016-02-03       Impact factor: 2.984

6.  Comorbidity and survival among women with ovarian cancer: evidence from prospective studies.

Authors:  Yi-Sheng Jiao; Ting-Ting Gong; Yong-Lai Wang; Qi-Jun Wu
Journal:  Sci Rep       Date:  2015-06-29       Impact factor: 4.379

7.  The effect of neighborhood disadvantage on the racial disparity in ovarian cancer-specific survival in a large hospital-based study in cook county, illinois.

Authors:  Caryn E Peterson; Garth H Rauscher; Timothy P Johnson; Carolyn V Kirschner; Sally Freels; Richard E Barrett; Seijeoung Kim; Marian L Fitzgibbon; Charlotte E Joslin; Faith G Davis
Journal:  Front Public Health       Date:  2015-01-22

8.  Stomatin-like protein 2 is overexpressed in epithelial ovarian cancer and predicts poor patient survival.

Authors:  Fei Sun; Wen Ding; Jie-Hua He; Xiao-Jing Wang; Ze-Biao Ma; Yan-Fang Li
Journal:  BMC Cancer       Date:  2015-10-20       Impact factor: 4.430

9.  Prolyl-4-Hydroxylase α Subunit 2 as a Novel Potential Biomarker for Predicting the Prognosis of Epithelial Ovarian Carcinoma.

Authors:  Haibo Zhang; Wei Zhao
Journal:  Cancer Manag Res       Date:  2021-06-03       Impact factor: 3.989

10.  Statin use and survival among women with ovarian cancer: an Australian national data-linkage study.

Authors:  Jia-Li Feng; Suzanne C Dixon-Suen; Susan J Jordan; Penelope M Webb
Journal:  Br J Cancer       Date:  2021-06-16       Impact factor: 9.075

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