Literature DB >> 29232466

Real-world evidence in the treatment of ovarian cancer.

E A Eisenhauer1.   

Abstract

INTRODUCTION: 'Real-world evidence (RWE)' refers to information on the utilization and outcome of new therapies and technologies in clinical practice. RWE may include single institution cohort studies, population-based health services studies, or (inter)national data on survival and mortality. This paper reviews RWE on the impact of treatment in ovarian cancer.
MATERIALS AND METHODS: A literature review of publications addressing population level survival outcomes of new surgical and systemic treatment interventions in ovarian cancer was undertaken. In addition, literature and international cancer registry trends in ovarian cancer survival, mortality and incidence rates were compiled. These latter were utilized to make inferences on the relative impact of new treatments as well as changing incidence rates on observed mortality trends.
RESULTS: The last four decades have seen new systemic and surgical treatments introduced into practice for ovarian cancer based on randomized trial evidence. However, there has been little published on population level uptake and survival outcomes of those interventions. Exceptions were population studies on intraperitoneal chemotherapy and neoadjuvant chemotherapy. One paper demonstrated modest uptake of intraperitoneal chemotherapy and evidence of improved survival. Cancer registry statistics revealed falling incidence rates (∼1%-2% per year) for ovarian cancer across Europe, North America and elsewhere over the last three to four decades. Mortality rates also declined by ∼1%-2% per year over this period. Population 5-year relative survival estimates also improved over this period [from 33.7% in 1975 to 46.2% in 2008 (SEER data)].
CONCLUSIONS: There are few RWE studies of specific treatments in ovarian cancer. Trends in relative survival and population mortality have shown improvements. Mortality changes can be explained in part by reductions in ovarian cancer incidence rates (speculated to be due to use of oral contraceptives and reduction in postmenopausal hormone use). However, it is plausible that at least some of the mortality reduction is related to improved survival of patients with the introduction of effective new treatments.
© The Author 2017. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  ovarian cancer; population outcomes; real-world evidence

Mesh:

Year:  2017        PMID: 29232466     DOI: 10.1093/annonc/mdx443

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  90 in total

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Authors:  Gwan Hee Han; Doo Byung Chay; Sanghee Nam; Hanbyoul Cho; Joon-Yong Chung; Jae-Hoon Kim
Journal:  Cancer Genomics Proteomics       Date:  2020 May-Jun       Impact factor: 4.069

2.  LncRNA CACS15 accelerates the malignant progression of ovarian cancer through stimulating EZH2-induced inhibition of APC.

Authors:  Yanhong Liu; Jin Sun; Jinyong Yu; Wei Ge; Xiaoguang Xiao; Senge Dai; Qiyun Xiang
Journal:  Am J Transl Res       Date:  2019-10-15       Impact factor: 4.060

Review 3.  Tumor-Associated Macrophages in Human Breast, Colorectal, Lung, Ovarian and Prostate Cancers.

Authors:  Irina Larionova; Gulnara Tuguzbaeva; Anastasia Ponomaryova; Marina Stakheyeva; Nadezhda Cherdyntseva; Valentin Pavlov; Evgeniy Choinzonov; Julia Kzhyshkowska
Journal:  Front Oncol       Date:  2020-10-22       Impact factor: 6.244

4.  Long non-coding RNA LINC00858 aggravates the oncogenic phenotypes of ovarian cancer cells through miR-134-5p/RAD18 signaling.

Authors:  Heng Xue; Zhihui Wu; Dongdong Rao; Bimin Zhuo; Qingquan Chen
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5.  Lassa-VSV chimeric virus targets and destroys human and mouse ovarian cancer by direct oncolytic action and by initiating an anti-tumor response.

Authors:  A N van den Pol; X Zhang; E Lima; M Pitruzzello; N Albayrak; A Alvero; J N Davis; G Mor
Journal:  Virology       Date:  2020-11-12       Impact factor: 3.616

6.  MiR-200b is upregulated in plasma-derived exosomes and functions as an oncogene by promoting macrophage M2 polarization in ovarian cancer.

Authors:  Jun Xiong; Xiaoju He; Yuanyuan Xu; Wei Zhang; Fen Fu
Journal:  J Ovarian Res       Date:  2021-06-02       Impact factor: 4.234

7.  The LINC00922 aggravates ovarian cancer progression via sponging miR-361-3p.

Authors:  Liping Wang; Chenchen Ren; Yajuan Xu; Li Yang; Yannan Chen; Yuanhang Zhu
Journal:  J Ovarian Res       Date:  2021-06-11       Impact factor: 4.234

8.  CACNA1C is a prognostic predictor for patients with ovarian cancer.

Authors:  Xiaohan Chang; Yunxia Dong
Journal:  J Ovarian Res       Date:  2021-07-01       Impact factor: 4.234

9.  PSMC2/CCND1 axis promotes development of ovarian cancer through regulating cell growth, apoptosis and migration.

Authors:  Dawei Zhu; Jie Huang; Ning Liu; Wei Li; Limei Yan
Journal:  Cell Death Dis       Date:  2021-07-22       Impact factor: 8.469

10.  Cancer-Associated Fibroblast-Derived Interleukin-8 Promotes Ovarian Cancer Cell Stemness and Malignancy Through the Notch3-Mediated Signaling.

Authors:  Zhaodong Ji; Wenjuan Tian; Wen Gao; Rongyu Zang; Huaying Wang; Gong Yang
Journal:  Front Cell Dev Biol       Date:  2021-07-01
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