Literature DB >> 20351070

Identification of early predictive imaging biomarkers and their relationship to serological angiogenic markers in patients with ovarian cancer with residual disease following cytotoxic therapy.

C L Mitchell1, J P B O'Connor, A Jackson, G J M Parker, C Roberts, Y Watson, S Cheung, K Davies, G A Buonaccorsi, A R Clamp, J Hasan, L Byrd, A Backen, C Dive, G C Jayson.   

Abstract

BACKGROUND: Patients with recurrent ovarian cancer often achieve partial response following chemotherapy, resulting in persistent small volume disease. After completion of treatment, the dilemma of when to initiate subsequent chemotherapy arises. Identification of biomarkers that could be used to predict when subsequent treatment is needed would be of significant benefit.
DESIGN: Twenty-three patients with advanced ovarian cancer and residual asymptomatic disease following chemotherapy underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) at study entry, 4, 8, 12, 18 and 26 weeks or disease progression. A subgroup of patients provided plasma samples within which a panel of angiogenic biomarkers was quantified.
RESULTS: By 4 weeks, significant differences in whole tumour volume, enhancing fraction and Ca125 were observed between patients whose disease progressed by 26 weeks and those who remained stable. Significant correlations between plasma soluble vascular endothelial growth factor receptor-1 (sVEGFR-1) and sVEGFR-2 concentrations, and blood volume and tumour endothelial permeability surface area product measured by DCE-MRI were observed.
CONCLUSIONS: Imaging markers have a potential role in early prediction of disease progression in patients with residual ovarian cancer and may supplement current measures of progression. The correlation of DCE-MRI and serological biomarkers suggests that tumour angiogenesis affects these markers through common biological means and warrants further investigation.

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Year:  2010        PMID: 20351070     DOI: 10.1093/annonc/mdq079

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


  12 in total

1.  Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study.

Authors:  He Zhang; Yunfei Mao; Xiaojun Chen; Guoqing Wu; Xuefen Liu; Peng Zhang; Yu Bai; Pengcong Lu; Weigen Yao; Yuanyuan Wang; Jinhua Yu; Guofu Zhang
Journal:  Eur Radiol       Date:  2019-04-08       Impact factor: 5.315

2.  Quantitative dynamic contrast-enhanced MR imaging analysis of complex adnexal masses: a preliminary study.

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Journal:  Eur Radiol       Date:  2011-11-23       Impact factor: 5.315

Review 3.  Antiangiogenic therapy--evolving view based on clinical trial results.

Authors:  Gordon C Jayson; Daniel J Hicklin; Lee M Ellis
Journal:  Nat Rev Clin Oncol       Date:  2012-02-14       Impact factor: 66.675

Review 4.  What's New in Imaging for Gynecologic Cancer?

Authors:  Sairah R Khan; Mubarik Arshad; Kathryn Wallitt; Victoria Stewart; Nishat Bharwani; Tara D Barwick
Journal:  Curr Oncol Rep       Date:  2017-11-06       Impact factor: 5.075

5.  EANM guideline on the role of 2-[18F]FDG PET/CT in diagnosis, staging, prognostic value, therapy assessment and restaging of ovarian cancer, endorsed by the American College of Nuclear Medicine (ACNM), the Society of Nuclear Medicine and Molecular Imaging (SNMMI) and the International Atomic Energy Agency (IAEA).

Authors:  Roberto C Delgado Bolton; Nicolas Aide; Patrick M Colletti; Annamaria Ferrero; Diana Paez; Andrea Skanjeti; Francesco Giammarile
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-07-03       Impact factor: 9.236

Review 6.  New ways of assessing ovarian cancer response: metabolic imaging and beyond.

Authors:  Andrea Rockall; Alice Munari; Norbert Avril
Journal:  Cancer Imaging       Date:  2012-09-28       Impact factor: 3.909

7.  Pharmacodynamic modelling of biomarker data in oncology.

Authors:  Robert C Jackson
Journal:  ISRN Pharmacol       Date:  2012-02-16

8.  Optimizing molecular-targeted therapies in ovarian cancer: the renewed surge of interest in ovarian cancer biomarkers and cell signaling pathways.

Authors:  Donavon Hiss
Journal:  J Oncol       Date:  2012-02-06       Impact factor: 4.375

9.  DCE-MRI assessment of the effect of Epstein-Barr virus-encoded latent membrane protein-1 targeted DNAzyme on tumor vasculature in patients with nasopharyngeal carcinomas.

Authors:  Wei-Hua Liao; Li-Fang Yang; Xiao-Yu Liu; Gao-Feng Zhou; Wu-Zhong Jiang; Bob-Lei Hou; Lun-Quan Sun; Ya Cao; Xiao-Yi Wang
Journal:  BMC Cancer       Date:  2014-11-18       Impact factor: 4.430

10.  Enhancement of ovarian malignancy on clinical contrast enhanced MRI studies.

Authors:  Harpreet K Pannu; Weining Ma; Emily Craig Zabor; Chaya S Moskowitz; Richard R Barakat; Hedvig Hricak
Journal:  ISRN Obstet Gynecol       Date:  2013-02-13
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