Literature DB >> 31366484

Ovarian Cancer Treatment Stratification Using Ex Vivo Drug Sensitivity Testing.

Ines Lohse1,2,3, Diana J Azzam1,2,3, Hassan Al-Ali4,5,6,7, Claude-Henry Volmar1,2,3, Shaun P Brothers1,2,3, Tan A Ince4,8, Claes Wahlestedt9,2.   

Abstract

BACKGROUND: Treatment options for patients with platinum-resistant ovarian cancer are generally palliative in nature and rarely have realistic potential to be curative. Because many patients with recurrent ovarian cancer receive aggressive chemotherapy for prolonged periods, sometimes continuously, therapy-related toxicities are a major factor in treatment decisions. The use of ex vivo drug sensitivity screens has the potential to improve the treatment of patients with platinum-resistant ovarian cancer by providing personalized treatment plans and thus reducing toxicity from unproductive therapy attempts.
MATERIALS AND METHODS: We evaluated the treatment responses of a set of six early-passage patient-derived ovarian cancer cell lines towards a set of 30 Food and Drug Administration-approved chemotherapy drugs using drug-sensitivity testing.
RESULTS: We observed a wide range of treatment responses of the cell lines. While most compounds displayed vastly different treatment responses between cell lines, we found that some compounds such as docetaxel and cephalomannine reduced cell survival of all cell lines.
CONCLUSION: We propose that ex vivo drug-sensitivity screening holds the potential to greatly improve patient outcomes, especially in a population where multiple continuous treatments are not an option due to advanced disease, rapid disease progression, age or poor overall health. This approach may also be useful to identify potential novel therapeutics for patients with ovarian cancer. Copyright
© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Ovarian cancer; ex vivo drug sensitivity screening; precision medicine

Mesh:

Substances:

Year:  2019        PMID: 31366484      PMCID: PMC7323502          DOI: 10.21873/anticanres.13558

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  20 in total

1.  Prediction of individual response to chemotherapy in patients with acute myeloid leukaemia using the chemosensitivity index Ci.

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2.  Ex-vivo sensitivity profiling to guide clinical decision making in acute myeloid leukemia: A pilot study.

Authors:  Ronan T Swords; Diana Azzam; Hassan Al-Ali; Ines Lohse; Claude-Henry Volmar; Justin M Watts; Aymee Perez; Ana Rodriguez; Fernando Vargas; Roy Elias; Francisco Vega; Arthur Zelent; Shaun P Brothers; Taher Abbasi; Jonathan Trent; Shaukat Rangwala; Yehuda Deutsch; Eibhlin Conneally; Leylah Drusbosky; Christopher R Cogle; Claes Wahlestedt
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Journal:  Cancer Epidemiol       Date:  2018-05-25       Impact factor: 2.984

Review 7.  Maintenance treatment of recurrent ovarian cancer: Is it ready for prime time?

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8.  Drug sensitivity profiling identifies potential therapies for lymphoproliferative disorders with overactive JAK/STAT3 signaling.

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Journal:  Oncotarget       Date:  2017-10-31

Review 9.  Emerging treatment options for ovarian cancer: focus on rucaparib.

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10.  Gene expression signature of normal cell-of-origin predicts ovarian tumor outcomes.

Authors:  Melissa A Merritt; Stefan Bentink; Matthew Schwede; Marcin P Iwanicki; John Quackenbush; Terri Woo; Elin S Agoston; Ferenc Reinhardt; Christopher P Crum; Ross S Berkowitz; Samuel C Mok; Abigail E Witt; Michelle A Jones; Bin Wang; Tan A Ince
Journal:  PLoS One       Date:  2013-11-26       Impact factor: 3.240

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