Figures
Abstract
In cancer cells, the nuclear transport system is often disrupted, leading to abnormal localization of nuclear proteins and altered gene expression. This disruption can arise from various mechanisms such as mutations in genes that regulate nuclear transport, altered expression of transport proteins, and changes in nuclear envelope structure. Oncogenic protein build-up in the nucleus due to the disturbance in nuclear transport can also boost tumor growth and cell proliferation. In this study, we performed bioinformatic analyses of 23 key nuclear transport receptors using genomic and transcriptomic data from pancancer and head and neck squamous cell carcinoma (HNSCC) datasets from The Cancer Genome Atlas (TCGA) and Cancer Cell Line Encyclopedia and found that the total alteration frequency of 23 nuclear transport receptors in 2691 samples of the PCAWG Consortium was 42.1% and a high levels of genetic alterations was significantly associated with poor overall survival. Amplification was the most common type of genetic alterations, and results in the overexpression of nuclear transport receptors in HNSCC compared to normal tissues. Furthermore, our study revealed that seven out of eight cell cycle genes (CDK1, CDK2, CDK4, CDK6, CCNA1, CCNB1, and CCNE2) were significantly and positively correlated with nuclear transport receptor genes in TCGA pancancer and CCLE datasets. Additionally, functional enrichment analysis showed that nuclear transport receptor genes were mainly enriched in the adhesion junction, cell cycle, ERBB, MAPK, MTOR and WNT signaling pathways.
Citation: Nguyen PT, Shimojukkoku Y, Kajiya Y, Oku Y, Tomishima A, Shima K, et al. (2024) Gene alterations in the nuclear transport receptor superfamily: A study of head and neck cancer. PLoS ONE 19(5): e0300446. https://doi.org/10.1371/journal.pone.0300446
Editor: Canhui Cao, Tongji Medical University: Tongji Medical College, CHINA
Received: June 30, 2023; Accepted: February 28, 2024; Published: May 31, 2024
Copyright: © 2024 Nguyen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: https://doi.org/10.1038/s41586-020-1969-6 https://doi.org/10.1038/s41586-019-1186-3 https://doi.org/10.1126/scisignal.2004088 https://doi.org/10.1158/2159-8290.CD-12-0095.
Funding: This work was supported in part by (1) grants-in-aid from the Japan Society for the Promotion of Science to P.T. Nguyen and T. Sasahira; (2) grant-in-aid from Hirose foundation to P.T. Nguyen; (3) the MEXT Support Program for the Development of Human Resource in Science and Technology “Initiative for realizing diversity in the research environment (Leading type) to P.T. Nguyen. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interest exist.
Introduction
Genetic mutations and chromosomal abnormalities are hallmarks of human cancers, including head and neck squamous cell carcinoma (HNSCC); HNSCC ranks as the sixth most prevalent cancer worldwide, with an annual incidence of approximately 930,000 cases and a mortality rate of approximately 50% [1]. While conventional treatments, such as radiation therapy, chemotherapy, surgery, novel immunotherapies, and combination therapies, are available, recurrence occurs in 50% of patients. In addition, tumor resection surgery can diminish patients’ physical function after surgery, but many patients still experience recurrence and metastasis [1,2]. Thus, the 5-year overall survival rate of HNSCCs remains unsatisfactory.
Nuclear transport receptors including importins and exportins are proteins that transport molecules from the cytoplasm to the nucleus and vice versa, which is crucial for many cellular processes, including gene expression, DNA replication, and repair [3]. In humans, there are at least 23 nuclear transport receptor family members [4,5], while the yeast Saccharomyces cerevisiae has 14 members. Nuclear transport receptors facilitate either the import or the export of molecules [3]. When proteins are imported into the nucleus, they interact with importin β directly or via an adapter molecule called importin α [6,7]. Importin α binds the nuclear localization signal (NLS) and forms a trimeric complex with importin β, which then targets the nuclear pore complex (NPC). The complex undergoes a series of interactions with the NPC before translocating into the nucleus [8,9]. Upon reaching the nucleus, the cargo is released to carry out its function, while the other transport factors are recycled for future transport cycles.
Cancer development, progression, and resistance to treatment have been linked to malfunctions in the nuclear-cytoplasmic transport system [10]. Specifically, karyopherin nuclear transport receptors, a crucial component of this system, are responsible for stabilizing chromosomes and supporting mitosis [10]. As a result, these receptors can impact the location of tumor suppressors and proto-oncogenes, thereby influencing the tumorigenesis process and drug sensitivity of cancer cells [10]. Given their importance in the development of cancer, there is a need for comprehensive molecular analysis of nuclear transport, which is currently lacking in the literature.
Materials and methods
Genetic alteration analysis
To investigate the genetic characteristics of nuclear transport receptor genes, we accessed the cBioPortal database (https://www.cbioportal.org/) [11,12], selected “TCGA Pan Cancer Atlas Studies” in the “Quick select” section and searched for gene names of 22 main nuclear transport receptor genes (S1 Table in S1 File) in (i) 2691 samples of PCAWG Consortium [13], (ii) 850 tumor cell lines of Cancer Cell Line Encyclopedia (CCLE) [14], (iii) 523 samples of TCGA-HNSCC (Pancancer atlas) [11,12], and (iv) 56 HNSCC and 78 non-cancerous cell lines of CCLE [14]. Within the “Cancer Types Summary” module, we reviewed the mutation type, alteration frequency, and CNA data across datasets. The tab OncoPrint showed an overview of the genetic alterations present in the 23 main nuclear transport receptor genes. Furthermore, the “Mutation” module provided a schematic diagram of the protein structure and detailed information on mutated sites.
Analysis of gene alteration on patient survival
The correlation between gene alterations and patient survival was analyzed using the cBioPortal database [11,12]. We analyzed survival data for all tumor samples with or without genetic alterations in the “Comparison/Survival” module, with a log-rank P value < 0.05 indicating statistical significance.
Gene set enrichment analysis (GSEA)
GSEA is a computational method for assessing whether a set of previously defined genes differ statistically significantly and consistently between two biological states [15]. GSEA was performed by GSEA software (version 4.3.0) to further investigate the functional enrichment of the genome under high expression conditions of 22 nuclear transport receptors (defined as higher than the median of mRNA levels). False detection rate (FDR) < 25% and nominal p < 0.05 were defined as the cutoff criteria.
Statistical analysis
Independent-samples t test and Mann-Whitney U test were used to assess normal and skewed variables, respectively. Categorical variables were analyzed using the chi-square test or Fisher’s exact test, as appropriate. GraphPad Prism 9.3.1 software was used as the tool to visualize the results. P < 0.05 was considered statistically significant.
Results
Genetic alterations in nuclear transport receptor genes are widespread across cancers
Nuclear transport is dynamically mediated by nuclear transport receptors including importins and exportins. We initially used cBioPortal to evaluate genetic alterations in 23 main nuclear transport receptors (S1 Table in S1 File). This was conducted for 2691 samples from the PCAWG Consortium [13], and the tumour entities for these samples are listed in S2 Table in S1 File. We found that the total alteration frequency of this dataset was 42.1% (1133/2691). The frequencies of mutation, amplification, and deep deletion were 4.46% (120/2691), 30.17% (812/2691), and 3.27% (88/2691), respectively. Only 4.2% (113/2691) of these cases had two or more alterations (Fig 1A and S2 Table in S1 File).
(A) in 2691 samples of PCAWG Consortium (B) in 850 tumor cell lines of CCLE dataset. (C) Genetic alterations of each nuclear transport receptor (KPNA1, KPNA2, KPNA3, KPNA4, KPNA5, KPNA6, KPNA7, IPO5, IPO7, IPO8, IPO9, IPO11, IPO13, TNPO1, TNPO2, TNPO3, XPOT, XPO4, XPO5, XPO6, and XPO7) in 2691 samples of PCAWG Consortium. (D) Comparation of overall survival rate between genetic altered group and unaltered group. (E) The significantly changed genes in genetic altered group and unaltered group.
In addition, we conducted similar genetic alteration analysis in 850 samples from CCLE [14], of which the tumour entities are listed in S3 Table in S1 File. The genetic alteration profiles of nuclear transport receptors for tumours in the CCLE database showed that alteration frequencies of mutation, structural variation, amplification and deep deletion were 15.76% (134/850), 1.41% (12/850), 19.88% (169/850), and 19.88% (169/850) respectively. A total of 29.65% (252/850) of these cell lines had two or more alterations (Fig 1B and S3 Table in S1 File). Among the types of genetic alterations, amplification was the most common type in nuclear transport receptors (58%-96.18%) (Fig 1C and S4 Table in S1 File), particularly in the karyopherin α family (KPNA1, KPNA2, KPNA3, KPNA4, KPNA5, KPNA6, and KPNA7). Among 23 main nuclear transport receptors, deletion was common in XPO7 (68.35%), while mutation was common in IPO7 (52.63%).
Impact of genetic alterations of nuclear transport receptors on overall survival (OS)
Next, we analyzed the impact of genetic alterations in nuclear transport receptors on the survival rates of patients. The patients in the PCAWG pancancer dataset were categorized into two groups: the alteration group and no alteration group. To compare the survival rates between 2 groups, the log-rank (Mantel-Cox) test was applied, and Kaplan-Meier survival curves were generated. Interestingly, a high frequency of genetic alterations in 23 main nuclear transport receptors was significantly associated with poor OS (Fig 1D). Furthermore, TP53, CSMD3, FLG, TTN, PKHD1L1, RYR2, MYC, USH2A, SPTA1, and COL14A1 were significantly upregulated in the group with genetic alterations in the nuclear transport receptors compared to the group without alterations in nuclear transport receptors compared to the group without alterations (Fig 1E).
Among 23 main nuclear transport receptor genes, the genetic alteration percentage in the PCAWG Consortium ranged from 1.9% (in KPNA6) to 10% (in IPO9) (Fig 2A), and in the CCLE dataset the genetic alteration percentage ranged from 5% (in KPNA1) to 21% (in XPO7) (Fig 2B). We interestingly found that cases with alterations in nuclear transport receptor genes also had mutations in top driver genes like TP53, TTN, and MUC16 (Fig 2A and 2B). Furthermore, analysis of mutations in the transport receptors and top driver genes showed that some mutations tended to co-occur, while others appeared to be mutually exclusive (Table 1). Somatic mutations including missense mutations, truncating mutations (nonsense, nonstop, frameshift deletion, frameshift insertion, splice site), in-frame mutations (in-frame deletion, in-frame insertion) and all other mutations in all the transporters, are shown in S1 Fig in S1 File and S5 Table in S1 File.
Genetic alteration of 23 selected nuclear transport receptors in (A) 27 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) and (B) 850 cell lines of Cancer Cell Line Encyclopedia. Cell cycle regulation genes predominantly show a positive correlation with nuclear transport receptors. Heatmap showing positive (co-expression) or negative (mutual exclusivity) correlation between cell cycle genes and nuclear transport receptor genes in (C) the TCGA pan-cancer cohort and (D) CCLE. Spearman’s rank correlation coefficient is shown as colour scale at right side.
Genetic alteration of nuclear transport receptor genes is significantly associated with cell cycle activation
Cell cycle activation is a crucial aspect of cancer development, and its regulation is governed by various genes [16]. Thus, we evaluated the relationship between the expression of nuclear transport receptors and cell cycle regulation genes (CDK1, CDK2, CDK4, CDK6, CCNA1, CCNB1, CCND1, and CCNE2) using cBioPortal. Most nuclear transport receptor genes showed a significant positive correlation with seven of eight cell cycle genes (CDK1, CDK2, CDK4, CDK6, CCNA1, CCNB1, and CCNE2) in the TCGA pancancer and CCLE datasets (Fig 2C and 2D) with q-values shown in S6 and S7 Tables in S1 File.
Genetic alterations in nuclear transport receptor genes are widespread in HNSCC
Furthermore, we again performed Oncoprint analysis through cBioportal’s OncoPrint tool to assess 23 nuclear receptor genes in 523 primary head and neck tumour samples, and then compared the mutational landscape of transport-related genes in HNSCC. The genetic alteration percentage in HNSCC ranged from 0.8% (in TNPO3) to 10% (in KPNA4) (Fig 3A). Somatic mutations in 23 transporters in HNSCC are shown in S8 Table in S1 File and Fig 3A. Interestingly, we found that the cases in which nuclear transport receptor genes were altered also expressed the top mutated driver genes, including TP53, PIK3CA and TP63 (Fig 3A). Moreover, among the alterations in several transport receptors and these top mutated genes, some mutations were co-occurring and some were mutual exclusive (Table 2).
Genetic alteration of 23 nuclear transport receptors in HNSCC patient samples of TCGA dataset (A). Their expression in tumor tissue vs. normal tissues (B) and in HNSCC cell lines of CCLE dataset (C).
Gene expression analysis
As shown in the above results, amplification was the most common genetic alteration in nuclear transport receptor genes. It is well known that gene amplification is a common feature in many human cancers, and overexpression of genes due to amplification is a frequent occurrence in cancer [17]. Thus, we examined the expression patterns of nuclear transport receptors in normal tissues and the tumors of the TCGA-HNSCC dataset, and the results are shown in Fig 3B. The expression of KPNA1, KPNA2, KPNA4, KPNA7, KPNB1, IPO9, TNPO2, XPOT, XPO5 and XPO6 was significantly higher in tumour tissue than in normal tissues, whereas the expression of KPNA3, KPNA5, IPO5, IPO11 and XPO4 was significantly lower in tumor tissues than in the normal tissues (Fig 3B). Next, we analyzed the relative expression of nuclear transport receptor genes in 56 HNSCC and 78 non-cancerous cell lines from CCLE. Our analysis revealed KPNA7 as a nuclear transport receptor overexpressed in HNSCC tumors relative to normal tissues, based on the TCGA-HNSCC dataset. Likewise, we also found KPNA7 to exhibit higher expression in HNSCC cell lines compared to non-cancerous cell lines (Fig 3C).
Functional enrichment analysis
To gain insight into the known biological processes involved in HNSCC, cancer hallmark and KEGG pathway enrichment analysis (GSEA) were performed on expression data of selected nuclear transport receptor genes. According to the hallmark results, these genes were mainly enriched in E2F targets, G2M checkpoint and mitotic spindle (Fig 4A).
Functional enrichment analysis of 23 nuclear transport receptors in HNSCC (A) Enrichment analyses of Hallmarks (B) Enrichment analyses of KEGG.
According to the results of KEGG signaling pathway analysis, nuclear transport receptor genes were mainly enriched in the adhesion junction (AJ), cell cycle (CC), ERBB, MAPK, MTOR and WNT signaling pathways (Fig 4B).
Impact of genetic alterations of nuclear transport receptors on overall survival (OS)
Next, we analyzed the impact of genetic alterations of each nuclear transport receptor on the survival rates of HNSCC patients. Interestingly, we found that alterations in some of the members, such as KPNA7 and KPNB1, showed a significant correlation with the patient survival (Fig 5).
Discussion
Eukaryotic cells are characterized by a nuclear membrane that separates the nuclear and cytoplasmic components, which require a set of specialized transporters that transport molecules to and from the nucleus to the cytoplasm to ensure cellular homeostasis. Nuclear transport receptors play a crucial role in regulating the cell cycle by interacting with chromatin and genes associated with cell cycle progression; for example, p53, a protein crucial to the stress response, must be localized in the nuclear to function, and its nuclear localization is tightly regulated by both nuclear import and nuclear export of p53 [18,19]. Although p53 is synthesized in the cytoplasm, it regulates transcription in the nucleus. However, the precise signals or proteins that direct p53’s movement from the cytoplasm to the nucleus remain unclear. Many tumor types exhibit the abnormal cytoplasmic sequestration of p53 and display poor responses to chemotherapy and radiation therapies, which has led researchers to explore which of the major skeletal filament systems (such as actin filaments, intermediate filaments, or microtubules) could serve as a cytoplasmic anchor for p53 molecules [20–22]. p53 molecules are imported into the nucleus via their three nuclear localization signals (NLS) [23,24] and exported via their two nuclear export signals (NES) [25,26]. Following DNA damage, p53 is imported into the nucleus through its NLS [27]. Recently, importin α3 was discovered to regulate the nucleocytoplasmic shuttling and activity of p53 [28].
EGFR, a renowned receptor tyrosine kinase, can be translocated into different organelles, including the nucleus and mitochondrion, upon stimuli such as ligand binding, radiation, and EGFR-targeted therapy [29]. Nuclear EGFR is a multifunctional regulator with roles as a transcriptional regulator, tyrosine kinase, and mediator of other physiological processes [29]. Studies have shown that nuclear EGFR is an indicator of poor clinical outcomes in cancer patients [30,31]. Moreover, nuclear EGFR has been shown to contribute to resistance to various cancer therapies, such as radiation, cisplatin, and cetuximab [32–34].
In a previous study, we observed that a significant increase in FGFR1 nuclear localization in HNSCC corresponded with high-grade histopathology, abundant nuclear polymorphisms and a high-grade invasion pattern [35]. Stachowiak et al revealed that nuclear FGFR1 facilitates the transition from G0/G1 to S phase of the cell cycle [36]. Moreover, nuclear FGFR1 initiates the release of CREB-binding protein (CBP) from its inactive complex with RSK1 [37], thereby increasing gene activities linked to cellular differentiation. Additionally, the protease granzymeB (GrB) is responsible for the cleavage of FGFR1, leading to the nuclear localization of FGFR1 cleavage and the invasion of breast cancer cells into the stroma [38].
Various studies have highlighted that nuclear transport receptors including XPO1, KPNA2, and KPNA4, exhibit hyperactivity in cancer and facilitate the export of vital tumor suppressors to the cytoplasm [39] or the import of oncogenes to the nucleus [40]. Although there have been no reports on the impact of their mutations and amplifications and mutations on outcomes in NSCLC, XPO1 has been shown to be involved in the development of other cancer types [5]. Researchers have been exploring several approaches to target nuclear transport, including the use of small molecule inhibitors such as KPT-330 and KPT-8602, which have shown promise in preclinical models of various cancers [41,42]. Additionally, inhibiting nuclear pore complex proteins such as Nup98 and Nup214 has emerged as a potential therapeutic approach [43]. Gene therapy approaches such as siRNA-mediated knockdown of XPO1 and CRISPR-Cas9 technology have also shown promise in preclinical models of head and neck cancer [43–45]. Finally, the nuclear transport of the immune checkpoint molecule PD-L1 has been linked to the regulation of T-cell activity in the tumor microenvironment [46].
In conclusion, the significance of nuclear transport in cancer biology cannot be overstated. It is involved in key processes such as gene expression, DNA repair, cell cycle regulation, and immunotherapy. Dysregulation of nuclear transport is a defining characteristic of cancer and can lead to the advancement of tumors. Focusing on nuclear transport as a therapeutic target can lead to the development of innovative cancer treatments, further improving patient outcomes.
References
- 1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71(3):209–49. Epub 2021/02/05. pmid:33538338.
- 2. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65(2):87–108. Epub 2015/02/06. pmid:25651787.
- 3. Strom AC, Weis K. Importin-beta-like nuclear transport receptors. Genome Biol. 2001;2(6):REVIEWS3008. Epub 2001/06/26. pmid:11423015; PubMed Central PMCID: PMC138946.
- 4. Cautain B, Hill R, de Pedro N, Link W. Components and regulation of nuclear transport processes. FEBS J. 2015;282(3):445–62. Epub 2014/11/29. pmid:25429850; PubMed Central PMCID: PMC7163960.
- 5. Mosammaparast N, Pemberton LF. Karyopherins: from nuclear-transport mediators to nuclear-function regulators. Trends Cell Biol. 2004;14(10):547–56. Epub 2004/09/29. pmid:15450977.
- 6. Gorlich D, Mattaj IW. Nucleocytoplasmic transport. Science. 1996;271(5255):1513–8. Epub 1996/03/15. pmid:8599106.
- 7. Imamoto N, Shimamoto T, Takao T, Tachibana T, Kose S, Matsubae M, et al. In vivo evidence for involvement of a 58 kDa component of nuclear pore-targeting complex in nuclear protein import. EMBO J. 1995;14(15):3617–26. Epub 1995/08/01. pmid:7641681; PubMed Central PMCID: PMC394435.
- 8. Rexach M, Blobel G. Protein import into nuclei: association and dissociation reactions involving transport substrate, transport factors, and nucleoporins. Cell. 1995;83(5):683–92. Epub 1995/12/01. pmid:8521485.
- 9. Radu A, Moore MS, Blobel G. The peptide repeat domain of nucleoporin Nup98 functions as a docking site in transport across the nuclear pore complex. Cell. 1995;81(2):215–22. Epub 1995/04/21. pmid:7736573.
- 10. Cagatay T, Chook YM. Karyopherins in cancer. Curr Opin Cell Biol. 2018;52:30–42. Epub 2018/02/08. pmid:29414591; PubMed Central PMCID: PMC5988925.
- 11. Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012;2(5):401–4. Epub 2012/05/17. pmid:22588877; PubMed Central PMCID: PMC3956037.
- 12. Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6(269):pl1. Epub 2013/04/04. pmid:23550210; PubMed Central PMCID: PMC4160307.
- 13. Consortium ITP-CAoWG. Pan-cancer analysis of whole genomes. Nature. 2020;578(7793):82–93. Epub 2020/02/07. pmid:32025007; PubMed Central PMCID: PMC7025898.
- 14. Ghandi M, Huang FW, Jane-Valbuena J, Kryukov GV, Lo CC, McDonald ER, 3rd, et al. Next-generation characterization of the Cancer Cell Line Encyclopedia. Nature. 2019;569(7757):503–8. Epub 2019/05/10. pmid:31068700; PubMed Central PMCID: PMC6697103.
- 15. Subramanian A, Kuehn H, Gould J, Tamayo P, Mesirov JP. GSEA-P: a desktop application for Gene Set Enrichment Analysis. Bioinformatics. 2007;23(23):3251–3. Epub 2007/07/24. pmid:17644558.
- 16. Suski JM, Braun M, Strmiska V, Sicinski P. Targeting cell-cycle machinery in cancer. Cancer Cell. 2021;39(6):759–78. Epub 2021/04/24. pmid:33891890; PubMed Central PMCID: PMC8206013.
- 17. Santarius T, Shipley J, Brewer D, Stratton MR, Cooper CS. A census of amplified and overexpressed human cancer genes. Nat Rev Cancer. 2010;10(1):59–64. Epub 2009/12/24. pmid:20029424.
- 18. Vousden KH, Vande Woude GF. The ins and outs of p53. Nat Cell Biol. 2000;2(10):E178–80. Epub 2000/10/12. pmid:11025676.
- 19. Ryan KM, Phillips AC, Vousden KH. Regulation and function of the p53 tumor suppressor protein. Curr Opin Cell Biol. 2001;13(3):332–7. Epub 2001/05/10. pmid:11343904.
- 20. Maxwell SA, Ames SK, Sawai ET, Decker GL, Cook RG, Butel JS. Simian virus 40 large T antigen and p53 are microtubule-associated proteins in transformed cells. Cell Growth Differ. 1991;2(2):115–27. Epub 1991/02/01. pmid:1648952.
- 21. Klotzsche O, Etzrodt D, Hohenberg H, Bohn W, Deppert W. Cytoplasmic retention of mutant tsp53 is dependent on an intermediate filament protein (vimentin) scaffold. Oncogene. 1998;16(26):3423–34. Epub 1998/08/06. pmid:9692550.
- 22. Katsumoto T, Higaki K, Ohno K, Onodera K. Cell-cycle dependent biosynthesis and localization of p53 protein in untransformed human cells. Biol Cell. 1995;84(3):167–73. Epub 1995/01/01. pmid:8720437.
- 23. Roth J, Dobbelstein M, Freedman DA, Shenk T, Levine AJ. Nucleo-cytoplasmic shuttling of the hdm2 oncoprotein regulates the levels of the p53 protein via a pathway used by the human immunodeficiency virus rev protein. EMBO J. 1998;17(2):554–64. Epub 1998/02/28. pmid:9430646; PubMed Central PMCID: PMC1170405.
- 24. Liang SH, Clarke MF. A bipartite nuclear localization signal is required for p53 nuclear import regulated by a carboxyl-terminal domain. J Biol Chem. 1999;274(46):32699–703. Epub 1999/11/07. pmid:10551826.
- 25. Zhang Y, Xiong Y. A p53 amino-terminal nuclear export signal inhibited by DNA damage-induced phosphorylation. Science. 2001;292(5523):1910–5. Epub 2001/06/09. pmid:11397945.
- 26. Stommel JM, Marchenko ND, Jimenez GS, Moll UM, Hope TJ, Wahl GM. A leucine-rich nuclear export signal in the p53 tetramerization domain: regulation of subcellular localization and p53 activity by NES masking. EMBO J. 1999;18(6):1660–72. Epub 1999/03/17. pmid:10075936; PubMed Central PMCID: PMC1171253.
- 27. el-Deiry WS, Kern SE, Pietenpol JA, Kinzler KW, Vogelstein B. Definition of a consensus binding site for p53. Nat Genet. 1992;1(1):45–9. Epub 1992/04/01. pmid:1301998.
- 28. Marchenko ND, Hanel W, Li D, Becker K, Reich N, Moll UM. Stress-mediated nuclear stabilization of p53 is regulated by ubiquitination and importin-alpha3 binding. Cell Death Differ. 2010;17(2):255–67. Epub 2009/11/21. pmid:19927155; PubMed Central PMCID: PMC4419752.
- 29. Wang YN, Hung MC. Nuclear functions and subcellular trafficking mechanisms of the epidermal growth factor receptor family. Cell Biosci. 2012;2(1):13. Epub 2012/04/24. pmid:22520625; PubMed Central PMCID: PMC3418567.
- 30. Psyrri A, Yu Z, Weinberger PM, Sasaki C, Haffty B, Camp R, et al. Quantitative determination of nuclear and cytoplasmic epidermal growth factor receptor expression in oropharyngeal squamous cell cancer by using automated quantitative analysis. Clin Cancer Res. 2005;11(16):5856–62. Epub 2005/08/24. pmid:16115926.
- 31. Lo HW, Xia W, Wei Y, Ali-Seyed M, Huang SF, Hung MC. Novel prognostic value of nuclear epidermal growth factor receptor in breast cancer. Cancer Res. 2005;65(1):338–48. Epub 2005/01/25. pmid:15665312.
- 32. Li C, Iida M, Dunn EF, Ghia AJ, Wheeler DL. Nuclear EGFR contributes to acquired resistance to cetuximab. Oncogene. 2009;28(43):3801–13. Epub 2009/08/18. pmid:19684613; PubMed Central PMCID: PMC2900381.
- 33. Hsu SC, Miller SA, Wang Y, Hung MC. Nuclear EGFR is required for cisplatin resistance and DNA repair. Am J Transl Res. 2009;1(3):249–58. Epub 2009/12/04. pmid:19956435; PubMed Central PMCID: PMC2776325.
- 34. Dittmann KH, Mayer C, Ohneseit PA, Raju U, Andratschke NH, Milas L, et al. Celecoxib induced tumor cell radiosensitization by inhibiting radiation induced nuclear EGFR transport and DNA-repair: a COX-2 independent mechanism. Int J Radiat Oncol Biol Phys. 2008;70(1):203–12. Epub 2007/11/13. pmid:17996386.
- 35. Nguyen PT, Tsunematsu T, Yanagisawa S, Kudo Y, Miyauchi M, Kamata N, et al. The FGFR1 inhibitor PD173074 induces mesenchymal-epithelial transition through the transcription factor AP-1. Br J Cancer. 2013;109(8):2248–58. Epub 2013/09/21. pmid:24045665; PubMed Central PMCID: PMC3798957.
- 36. Stachowiak EK, Maher PA, Tucholski J, Mordechai E, Joy A, Moffett J, et al. Nuclear accumulation of fibroblast growth factor receptors in human glial cells—association with cell proliferation. Oncogene. 1997;14(18):2201–11. Epub 1997/05/08. pmid:9174056.
- 37. Fang X, Stachowiak EK, Dunham-Ems SM, Klejbor I, Stachowiak MK. Control of CREB-binding protein signaling by nuclear fibroblast growth factor receptor-1: a novel mechanism of gene regulation. J Biol Chem. 2005;280(31):28451–62. Epub 2005/06/03. pmid:15929978.
- 38. Chioni AM, Grose R. FGFR1 cleavage and nuclear translocation regulates breast cancer cell behavior. J Cell Biol. 2012;197(6):801–17. Epub 2012/06/06. pmid:22665522; PubMed Central PMCID: PMC3373409.
- 39. Balasubramanian SK, Azmi AS, Maciejewski J. Selective inhibition of nuclear export: a promising approach in the shifting treatment paradigms for hematological neoplasms. Leukemia. 2022;36(3):601–12. Epub 2022/01/30. pmid:35091658; PubMed Central PMCID: PMC8885406 research grants from EISAI Janssen and Rhizen, and has been a speaker at an event organized by Karyopharm. The primary author’s institution has received research funding (partially supporting the phase Ib/II studies NCT02178436 and NCT03147885) from Karyopharm. No other conflict of interest pertaining to this paper from all the authors.
- 40. Hazawa M, Sakai K, Kobayashi A, Yoshino H, Iga Y, Iwashima Y, et al. Disease-specific alteration of karyopherin-alpha subtype establishes feed-forward oncogenic signaling in head and neck squamous cell carcinoma. Oncogene. 2020;39(10):2212–23. Epub 2019/12/12. pmid:31822798; PubMed Central PMCID: PMC7056645.
- 41. Kim J, McMillan E, Kim HS, Venkateswaran N, Makkar G, Rodriguez-Canales J, et al. XPO1-dependent nuclear export is a druggable vulnerability in KRAS-mutant lung cancer. Nature. 2016;538(7623):114–7. Epub 2016/09/30. pmid:27680702; PubMed Central PMCID: PMC5161658.
- 42. Etchin J, Berezovskaya A, Conway AS, Galinsky IA, Stone RM, Baloglu E, et al. KPT-8602, a second-generation inhibitor of XPO1-mediated nuclear export, is well tolerated and highly active against AML blasts and leukemia-initiating cells. Leukemia. 2017;31(1):143–50. Epub 2016/05/24. pmid:27211268; PubMed Central PMCID: PMC5220128 receive compensation and hold equity in the company.
- 43. Xu H, Valerio DG, Eisold ME, Sinha A, Koche RP, Hu W, et al. NUP98 Fusion Proteins Interact with the NSL and MLL1 Complexes to Drive Leukemogenesis. Cancer Cell. 2016;30(6):863–78. Epub 2016/11/28. pmid:27889185; PubMed Central PMCID: PMC5501282.
- 44. Steimle T, Dourthe ME, Alcantara M, Touzart A, Simonin M, Mondesir J, et al. Clinico-biological features of T-cell acute lymphoblastic leukemia with fusion proteins. Blood Cancer J. 2022;12(1):14. Epub 2022/01/28. pmid:35082269; PubMed Central PMCID: PMC8791998.
- 45. Saenz-Ponce N, Pillay R, de Long LM, Kashyap T, Argueta C, Landesman Y, et al. Targeting the XPO1-dependent nuclear export of E2F7 reverses anthracycline resistance in head and neck squamous cell carcinomas. Sci Transl Med. 2018;10(447). Epub 2018/06/29. pmid:29950445.
- 46. Gao Y, Nihira NT, Bu X, Chu C, Zhang J, Kolodziejczyk A, et al. Acetylation-dependent regulation of PD-L1 nuclear translocation dictates the efficacy of anti-PD-1 immunotherapy. Nat Cell Biol. 2020;22(9):1064–75. Epub 2020/08/26. pmid:32839551; PubMed Central PMCID: PMC7484128.