Literature DB >> 35748745

Inhibition of Karyopherin β1-Mediated Nuclear Import Disrupts Oncogenic Lineage-Defining Transcription Factor Activity in Small Cell Lung Cancer.

Demetra P Kelenis1, Kathia E Rodarte1, Rahul K Kollipara2, Karine Pozo1,3, Shreoshi Pal Choudhuri3, Kyle B Spainhower4, Sarah J Wait4, Victor Stastny5, Trudy G Oliver4, Jane E Johnson1.   

Abstract

Genomic studies support the classification of small cell lung cancer (SCLC) into subtypes based on the expression of lineage-defining transcription factors ASCL1 and NEUROD1, which together are expressed in ∼86% of SCLC. ASCL1 and NEUROD1 activate SCLC oncogene expression, drive distinct transcriptional programs, and maintain the in vitro growth and oncogenic properties of ASCL1 or NEUROD1-expressing SCLC. ASCL1 is also required for tumor formation in SCLC mouse models. A strategy to inhibit the activity of these oncogenic drivers may therefore provide both a targeted therapy for the predominant SCLC subtypes and a tool to investigate the underlying lineage plasticity of established SCLC tumors. However, there are no known agents that inhibit ASCL1 or NEUROD1 function. In this study, we identify a novel strategy to pharmacologically target ASCL1 and NEUROD1 activity in SCLC by exploiting the nuclear localization required for the function of these transcription factors. Karyopherin β1 (KPNB1) was identified as a nuclear import receptor for both ASCL1 and NEUROD1 in SCLC, and inhibition of KPNB1 led to impaired ASCL1 and NEUROD1 nuclear accumulation and transcriptional activity. Pharmacologic targeting of KPNB1 preferentially disrupted the growth of ASCL1+ and NEUROD1+ SCLC cells in vitro and suppressed ASCL1+ tumor growth in vivo, an effect mediated by a combination of impaired ASCL1 downstream target expression, cell-cycle activity, and proteostasis. These findings broaden the support for targeting nuclear transport as an anticancer therapeutic strategy and have implications for targeting lineage-transcription factors in tumors beyond SCLC. SIGNIFICANCE: The identification of KPNB1 as a nuclear import receptor for lineage-defining transcription factors in SCLC reveals a viable therapeutic strategy for cancer treatment. ©2022 American Association for Cancer Research.

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Year:  2022        PMID: 35748745      PMCID: PMC9444950          DOI: 10.1158/0008-5472.CAN-21-3713

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   13.312


  75 in total

1.  Zinc finger domain of Snail functions as a nuclear localization signal for importin beta-mediated nuclear import pathway.

Authors:  Hideki Yamasaki; Toshihiro Sekimoto; Tadashi Ohkubo; Tsutomu Douchi; Yukihiro Nagata; Masayuki Ozawa; Yoshihiro Yoneda
Journal:  Genes Cells       Date:  2005-05       Impact factor: 1.891

Review 2.  Molecular subtypes of small cell lung cancer: a synthesis of human and mouse model data.

Authors:  Charles M Rudin; John T Poirier; Lauren Averett Byers; Caroline Dive; Afshin Dowlati; Julie George; John V Heymach; Jane E Johnson; Jonathan M Lehman; David MacPherson; Pierre P Massion; John D Minna; Trudy G Oliver; Vito Quaranta; Julien Sage; Roman K Thomas; Christopher R Vakoc; Adi F Gazdar
Journal:  Nat Rev Cancer       Date:  2019-05       Impact factor: 60.716

3.  Inhibition of Importin β1 With a 2-Aminothiazole Derivative Resulted in G2/M Cell-cycle Arrest and Apoptosis.

Authors:  Siyoung Ha; Jaesung Choi; Na Young Min; Kwang-Ho Lee; Seung Wook Ham
Journal:  Anticancer Res       Date:  2017-05       Impact factor: 2.480

4.  Conversion of Xenopus ectoderm into neurons by NeuroD, a basic helix-loop-helix protein.

Authors:  J E Lee; S M Hollenberg; L Snider; D L Turner; N Lipnick; H Weintraub
Journal:  Science       Date:  1995-05-12       Impact factor: 47.728

5.  Synergistic nuclear import of NeuroD1 and its partner transcription factor, E47, via heterodimerization.

Authors:  Rashid Mehmood; Noriko Yasuhara; Souichi Oe; Masahiro Nagai; Yoshihiro Yoneda
Journal:  Exp Cell Res       Date:  2009-03-09       Impact factor: 3.905

6.  KPNB1 inhibition disrupts proteostasis and triggers unfolded protein response-mediated apoptosis in glioblastoma cells.

Authors:  Zhi-Chuan Zhu; Ji-Wei Liu; Kui Li; Jing Zheng; Zhi-Qi Xiong
Journal:  Oncogene       Date:  2018-03-09       Impact factor: 9.867

7.  Murine Perinatal β-Cell Proliferation and the Differentiation of Human Stem Cell-Derived Insulin-Expressing Cells Require NEUROD1.

Authors:  Anthony I Romer; Ruth A Singer; Lina Sui; Dieter Egli; Lori Sussel
Journal:  Diabetes       Date:  2019-09-13       Impact factor: 9.461

8.  Targeting oncoproteins with a positive selection assay for protein degraders.

Authors:  Vidyasagar Koduri; Leslie Duplaquet; Benjamin L Lampson; Adam C Wang; Amin H Sabet; Mette Ishoey; Joshiawa Paulk; Mingxing Teng; Isaac S Harris; Jennifer E Endress; Xiaoxi Liu; Ethan Dasilva; Joao A Paulo; Kimberly J Briggs; John G Doench; Christopher J Ott; Tinghu Zhang; Katherine A Donovan; Eric S Fischer; Steven P Gygi; Nathanael S Gray; James Bradner; Jeffrey A Medin; Sara J Buhrlage; Matthew G Oser; William G Kaelin
Journal:  Sci Adv       Date:  2021-02-05       Impact factor: 14.957

9.  Genetic requirement for Mycl and efficacy of RNA Pol I inhibition in mouse models of small cell lung cancer.

Authors:  Dong-Wook Kim; Nan Wu; Young-Chul Kim; Pei Feng Cheng; Ryan Basom; Dongkyoon Kim; Colin T Dunn; Anastasia Y Lee; Keebeom Kim; Chang Sup Lee; Andrew Singh; Adi F Gazdar; Chris R Harris; Robert N Eisenman; Kwon-Sik Park; David MacPherson
Journal:  Genes Dev       Date:  2016-06-01       Impact factor: 11.361

10.  SCLC-CellMiner: A Resource for Small Cell Lung Cancer Cell Line Genomics and Pharmacology Based on Genomic Signatures.

Authors:  Camille Tlemsani; Lorinc Pongor; Fathi Elloumi; Luc Girard; Kenneth E Huffman; Nitin Roper; Sudhir Varma; Augustin Luna; Vinodh N Rajapakse; Robin Sebastian; Kurt W Kohn; Julia Krushkal; Mirit I Aladjem; Beverly A Teicher; Paul S Meltzer; William C Reinhold; John D Minna; Anish Thomas; Yves Pommier
Journal:  Cell Rep       Date:  2020-10-20       Impact factor: 9.423

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