Literature DB >> 33792631

Selective drug combination vulnerabilities in STAT3- and TP53-mutant malignant NK cells.

Elina Parri1, Heikki Kuusanmäki1,2, Daria Bulanova1,2, Satu Mustjoki3,4,5, Krister Wennerberg1,2.   

Abstract

Mature natural killer (NK) cell neoplasms are rare but very aggressive types of cancers. With currently available treatments, they have a very poor prognosis and, as such, are an example of group of cancers in which the development of effective precision therapies is needed. Using both short- and long-term drug sensitivity testing, we explored novel ways to target NK-cell neoplasms by combining the clinically approved JAK inhibitor ruxolitinib with other targeted agents. We profiled 7 malignant NK-cell lines in drug sensitivity screens and identified that these exhibit differential drug sensitivities based on their genetic background. In short-term assays, various classes of drugs combined with ruxolitinib seemed highly potent. Strikingly, resistance to most of these combinations emerged rapidly when explored in long-term assays. However, 4 combinations were identified that selectively eradicated the cancer cells and did not allow for development of resistance: ruxolitinib combined with the mouse double-minute 2 homolog (MDM2) inhibitor idasanutlin in STAT3-mutant, TP53 wild-type cell lines; ruxolitinib combined with the farnesyltransferase inhibitor tipifarnib in TP53-mutant cell lines; and ruxolitinib combined with either the glucocorticoid dexamethasone or the myeloid cell leukemia-1 (MCL-1) inhibitor S63845 but both without a clear link to underlying genetic features. In conclusion, using a new drug sensitivity screening approach, we identified drug combinations that selectively target mature NK-cell neoplasms and do not allow for development of resistance, some of which can be applied in a genetically stratified manner.
© 2021 by The American Society of Hematology.

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Year:  2021        PMID: 33792631      PMCID: PMC8045497          DOI: 10.1182/bloodadvances.2020003300

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  68 in total

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Review 2.  The great escape: tumour cell plasticity in resistance to targeted therapy.

Authors:  Soufiane Boumahdi; Frederic J de Sauvage
Journal:  Nat Rev Drug Discov       Date:  2019-10-10       Impact factor: 84.694

3.  Farnesyl transferase inhibitor (R115777)-induced inhibition of STAT3(Tyr705) phosphorylation in human pancreatic cancer cell lines require extracellular signal-regulated kinases.

Authors:  Kolaparthi Venkatasubbarao; Ahsan Choudary; James W Freeman
Journal:  Cancer Res       Date:  2005-04-01       Impact factor: 12.701

4.  Exome sequencing identifies somatic mutations of DDX3X in natural killer/T-cell lymphoma.

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Journal:  Nat Genet       Date:  2015-07-20       Impact factor: 38.330

5.  STAT3 mutations unify the pathogenesis of chronic lymphoproliferative disorders of NK cells and T-cell large granular lymphocyte leukemia.

Authors:  Andres Jerez; Michael J Clemente; Hideki Makishima; Hanna Koskela; Francis Leblanc; Kwok Peng Ng; Thomas Olson; Bartlomiej Przychodzen; Manuel Afable; Ines Gomez-Segui; Kathryn Guinta; Lisa Durkin; Eric D Hsi; Kathy McGraw; Dan Zhang; Marcin W Wlodarski; Kimmo Porkka; Mikkael A Sekeres; Alan List; Satu Mustjoki; Thomas P Loughran; Jaroslaw P Maciejewski
Journal:  Blood       Date:  2012-08-02       Impact factor: 22.113

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Journal:  Nat Commun       Date:  2015-09-22       Impact factor: 14.919

7.  Phenotype-based drug screening reveals association between venetoclax response and differentiation stage in acute myeloid leukemia.

Authors:  Heikki Kuusanmäki; Aino-Maija Leppä; Petri Pölönen; Mika Kontro; Olli Dufva; Debashish Deb; Bhagwan Yadav; Oscar Brück; Ashwini Kumar; Hele Everaus; Bjørn T Gjertsen; Merja Heinäniemi; Kimmo Porkka; Satu Mustjoki; Caroline A Heckman
Journal:  Haematologica       Date:  2019-07-11       Impact factor: 9.941

8.  Breeze: an integrated quality control and data analysis application for high-throughput drug screening.

Authors:  Swapnil Potdar; Aleksandr Ianevski; John-Patrick Mpindi; Dmitrii Bychkov; Clément Fiere; Philipp Ianevski; Bhagwan Yadav; Krister Wennerberg; Tero Aittokallio; Olli Kallioniemi; Jani Saarela; Päivi Östling
Journal:  Bioinformatics       Date:  2020-06-01       Impact factor: 6.937

9.  Prolonged Idasanutlin (RG7388) Treatment Leads to the Generation of p53-Mutated Cells.

Authors:  Lukasz Skalniak; Justyna Kocik; Justyna Polak; Anna Skalniak; Monika Rak; Agnieszka Wolnicka-Glubisz; Tad A Holak
Journal:  Cancers (Basel)       Date:  2018-10-24       Impact factor: 6.639

10.  One method to establish Epstein-Barr virus-associated NK/T cell lymphoma mouse models.

Authors:  Weili Xue; Weiming Li; Yufeng Shang; Yanjie Zhang; Xuan Lan; Guannan Wang; Zhaoming Li; Xudong Zhang; Yue Song; Baopeng Wu; Meng Dong; Xinhua Wang; Mingzhi Zhang
Journal:  J Cell Mol Med       Date:  2018-11-28       Impact factor: 5.310

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  1 in total

Review 1.  Molecular Genetics in Epstein-Barr Virus-Associated Malignancies.

Authors:  Srikanth Umakanthan; Maryann M Bukelo
Journal:  Life (Basel)       Date:  2021-06-22
  1 in total

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