Literature DB >> 28104295

Systematic drug sensitivity testing reveals synergistic growth inhibition by dasatinib or mTOR inhibitors with paclitaxel in ovarian granulosa cell tumor cells.

Ulla-Maija Haltia1, Noora Andersson2, Bhagwan Yadav3, Anniina Färkkilä4, Evgeny Kulesskiy3, Matti Kankainen3, Jing Tang3, Ralf Bützow5, Annika Riska6, Arto Leminen6, Markku Heikinheimo7, Olli Kallioniemi3, Leila Unkila-Kallio6, Krister Wennerberg3, Tero Aittokallio8, Mikko Anttonen9.   

Abstract

OBJECTIVE: Resistance to standard chemotherapy poses a major clinical problem in the treatment of ovarian cancer patients. Adult-type granulosa cell tumor (AGCT) is a unique ovarian cancer subtype for which efficient treatment options are lacking in advanced disease. To this end, systematic drug response and transcriptomics profiling were performed to uncover new therapy options for AGCTs.
METHODS: The responses of three primary and four recurrent AGCTs to 230 anticancer compounds were screened in vitro using a systematic drug sensitivity and resistance testing (DSRT) platform, coupled with mRNA sequencing. The responses of the AGCTs were compared with those of human granulosa luteal cells and bone marrow mononuclear cells.
RESULTS: Patient-derived AGCT cells showed selective sensitivity to the Src family tyrosine kinase inhibitor dasatinib. A combination of either dasatinib or an mTOR-inhibitor everolimus with paclitaxel resulted in synergistic inhibition of AGCT cell viability. The key kinase targets of dasatinib and members of the mTOR pathway were constantly expressed at mRNA and protein levels, indicating multikinase signal addictions in the AGCT cells. Transcriptomic characterization of the tumors revealed no known oncogenic mutations, suggesting that the drug sensitivity of AGCTs was rather conveyed by selective target expression.
CONCLUSIONS: We used a systematic functional approach to reveal novel treatment options for a unique gynecological cancer. The selective synergy found between taxanes and dasatinib or mTOR inhibitors warrants further clinical investigations of these combinations in relapsed or aggressive AGCTs and demonstrate that high-throughput drug screening and molecular profiling can provide an effective approach to uncover new therapy options. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Granulosa cell tumor; Kinase inhibitors; Ovarian cancer; Screening strategies

Mesh:

Substances:

Year:  2017        PMID: 28104295     DOI: 10.1016/j.ygyno.2016.12.016

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  14 in total

Review 1.  Investigational multitargeted kinase inhibitors in development for head and neck neoplasms.

Authors:  Ana Marija Sola; Daniel E Johnson; Jennifer R Grandis
Journal:  Expert Opin Investig Drugs       Date:  2019-02-26       Impact factor: 6.206

2.  Computational Pipeline for Rational Drug Combination Screening in Patient-Derived Cells.

Authors:  Paschalis Athanasiadis; Aleksandr Ianevski; Sigrid S Skånland; Tero Aittokallio
Journal:  Methods Mol Biol       Date:  2022

3.  Experimental and computational assessment of the synergistic pharmacodynamic drug-drug interactions of a triple combination therapy in refractory HER2-positive breast cancer cells.

Authors:  Tanaya R Vaidya; Sihem Ait-Oudhia
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-11-13       Impact factor: 2.745

Review 4.  Response to Systemic Therapies in Ovarian Adult Granulosa Cell Tumors: A Literature Review.

Authors:  Geertruid J Brink; Jolijn W Groeneweg; Lotty Hooft; Ronald P Zweemer; Petronella O Witteveen
Journal:  Cancers (Basel)       Date:  2022-06-17       Impact factor: 6.575

5.  HIF-1α and mTOR - Possible Novel Strategies of Targeted Therapies in p16-positive and -negative HNSCC.

Authors:  Benedikt Kramer; Max Polit; Richard Birk; Nicole Rotter; Christoph Aderhold
Journal:  Cancer Genomics Proteomics       Date:  2018 May-Jun       Impact factor: 4.069

6.  Procaspase-Activating Compound-1 Synergizes with TRAIL to Induce Apoptosis in Established Granulosa Cell Tumor Cell Line (KGN) and Explanted Patient Granulosa Cell Tumor Cells In Vitro.

Authors:  Powel Crosley; Anniina Farkkila; Adrianne L Jenner; Chloé Burlot; Olivia Cardinal; Kyle G Potts; Kate Agopsowicz; Marjut Pihlajoki; Markku Heikinheimo; Morgan Craig; Yangxin Fu; Mary M Hitt
Journal:  Int J Mol Sci       Date:  2021-04-29       Impact factor: 5.923

7.  Functional Profiling of FSH and Estradiol in Ovarian Granulosa Cell Tumors.

Authors:  Ulla-Maija Haltia; Marjut Pihlajoki; Noora Andersson; Lotta Mäkinen; Johanna Tapper; Alejandra Cervera; Hugo M Horlings; Ursula Turpeinen; Mikko Anttonen; Ralf Bützow; Leila Unkila-Kallio; Olli Carpén; David B Wilson; Markku Heikinheimo; Anniina Färkkilä
Journal:  J Endocr Soc       Date:  2020-03-16

8.  Methods for High-throughput Drug Combination Screening and Synergy Scoring.

Authors:  Liye He; Evgeny Kulesskiy; Jani Saarela; Laura Turunen; Krister Wennerberg; Tero Aittokallio; Jing Tang
Journal:  Methods Mol Biol       Date:  2018

9.  Mitochondrial mRNA transcripts predict overall survival, tumor recurrence and progression in serous ovarian cancer: Companion diagnostics for cancer therapy.

Authors:  Federica Sotgia; Michael P Lisanti
Journal:  Oncotarget       Date:  2017-08-06

10.  Utility of a Novel Three-Dimensional and Dynamic (3DD) Cell Culture System for PK/PD Studies: Evaluation of a Triple Combination Therapy at Overcoming Anti-HER2 Treatment Resistance in Breast Cancer.

Authors:  Anusha Ande; Tanaya R Vaidya; Bao N Tran; Michael Vicchiarelli; Ashley N Brown; Sihem Ait-Oudhia
Journal:  Front Pharmacol       Date:  2018-05-01       Impact factor: 5.810

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