Literature DB >> 19624866

Predicting the response of advanced cervical and ovarian tumors to therapy.

Vanessa N Harry1, Fiona J Gilbert, David E Parkin.   

Abstract

UNLABELLED: The management of advanced cervical and ovarian cancers remains a significant challenge as many women fail to respond to recommended therapy, resulting in disease progression and ultimately patient death. Because of tumor heterogeneity, it is rare for all cancers of a particular type to respond to a specific therapy; and, as a result, many patients receive treatment from which they derive little or no benefit, leading to increased morbidity and undue costs. A marker that could rapidly predict or forecast disease outcome would clearly be beneficial in allowing the administration of a tailored regime for each patient while reducing toxicity and cost. Traditional prognostic factors of tumor size, grade, and stage are not ideal for predicting patient outcome, whereas the use of in vitro assays to detect chemosensitivity or resistance has not yet translated into routine clinical practice. Similarly, biomarkers and tumor markers vary in their predictive ability. DNA array technology offers great promise in predicting the response to therapy based on gene expression profiles, and can allow for targeted therapies against specific molecular alterations that cause disease. Imaging techniques, particularly those with the ability to characterize biological tissues and provide functional, structural, and molecular information, have the potential to noninvasively integrate physical and metabolic information. These include F-18-fluorodeoxyglucose positron emission tomography, dynamic contrast-enhanced magnetic resonance imaging, and diffusion weighted magnetic resonance imaging, all techniques that attempt to evaluate and predict therapy response and so influence clinical outcome. This review examines different methods of predicting the response to treatment in advanced cervical and ovarian tumors. TARGET AUDIENCE: Obstetricians & Gynecologists, Family Physicians. LEARNING
OBJECTIVES: After completion of this article, the reader should be able to describe why prediction of response to therapy for cervical and ovarian cancers is important, describe obstacles to use of in vitro assays to predict outcomes for therapy for ovarian and cervical cancers, and explain potentially new predictive markers.

Entities:  

Mesh:

Year:  2009        PMID: 19624866     DOI: 10.1097/OGX.0b013e3181abc114

Source DB:  PubMed          Journal:  Obstet Gynecol Surv        ISSN: 0029-7828            Impact factor:   2.347


  5 in total

1.  [The 2016 update of the S3 guideline for malignant tumours of the ovary : Role of pathology in diagnosis, therapy and clinical management of epithelial tumours].

Authors:  A Staebler; D Mayr
Journal:  Pathologe       Date:  2017-07       Impact factor: 1.011

2.  S3-Guideline on Diagnostics, Therapy and Follow-up of Malignant Ovarian Tumours: Short version 1.0 - AWMF registration number: 032/035OL, June 2013.

Authors:  U Wagner; P Harter; F Hilpert; S Mahner; A Reuß; A du Bois; E Petru; W Meier; P Ortner; K König; K Lindel; D Grab; P Piso; O Ortmann; I Runnebaum; J Pfisterer; D Lüftner; N Frickhofen; F Grünwald; B O Maier; J Diebold; S Hauptmann; F Kommoss; G Emons; B Radeleff; M Gebhardt; N Arnold; G Calaminus; I Weisse; J Weis; J Sehouli; D Fink; A Burges; A Hasenburg; C Eggert
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

3.  Predictive and prognostic value of intravoxel incoherent motion (IVIM) MR imaging in patients with advanced cervical cancers undergoing concurrent chemo-radiotherapy.

Authors:  Li Zhu; Huanhuan Wang; Lijing Zhu; Jie Meng; Yan Xu; Baorui Liu; Weibo Chen; Jian He; Zhengyang Zhou; Xiaofeng Yang
Journal:  Sci Rep       Date:  2017-09-14       Impact factor: 4.379

4.  Whole lesion histogram analysis of apparent diffusion coefficients on MRI predicts disease-free survival in locally advanced squamous cell cervical cancer after radical chemo-radiotherapy.

Authors:  Bo Zhao; Kun Cao; Xiao-Ting Li; Hai-Tao Zhu; Ying-Shi Sun
Journal:  BMC Cancer       Date:  2019-11-15       Impact factor: 4.430

5.  Predicting factors for primary cervical cancer recurrence after definitive radiation therapy.

Authors:  Mitsuru Okubo; Tomohiro Itonaga; Tatsuhiko Saito; Sachika Shiraishi; Daisuke Yunaiyama; Ryuji Mikami; Akira Sakurada; Shinji Sugahara; Koichi Tokuuye; Kazuhiro Saito
Journal:  BJR Open       Date:  2021-11-24
  5 in total

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