請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98567完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 阮雪芬 | zh_TW |
| dc.contributor.advisor | Hsueh-Fen Juan | en |
| dc.contributor.author | 游佩蓁 | zh_TW |
| dc.contributor.author | Pei-Chen Yu | en |
| dc.date.accessioned | 2025-08-18T00:54:25Z | - |
| dc.date.available | 2025-08-18 | - |
| dc.date.copyright | 2025-08-15 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-08-06 | - |
| dc.identifier.citation | References
1. Matthay, K.K.; Maris, J.M.; Schleiermacher, G. Neuroblastoma. Nat. Rev. Dis. Primers. 2016, 2, 16078. 2. Maris, J.M.; Hogarty, M.D.; Bagatell, R.; Cohn, S.L. Neuroblastoma. Lancet. 2007, 369, 2106–2020. 3. Brems, H.; Beert, E.; de Ravel, T.; Legius E. Mechanisms in the pathogenesis of malignant tumours in neurofibromatosis type 1. Lancet Oncol. 2009, 10, 508–515. 4. Brodeur, G. M.; Seeger, R. C.; Schwab, M.; Varmus, H. E.; Bishop, J. M. Amplification of N-myc in untreated human neuroblastomas correlates with advanced disease stage. Science 1984, 224, 1121–1124. 5. Attiyeh, E. F.; London, W. B.; Mosse, Y. P.; Wang, Q.; Winter, C.; Khazi, D. Chromosome 1p and 11q deletions and outcome in neuroblastoma. N. Engl. J. Med. 2005, 353, 2243–2253. 6. Mosse, Y. P.; Laudenslager, M.; Longo, L.; Cole, K. A.; Wood, A.; Attiyeh, E. F. Identification of ALK as a major familial neuroblastoma predisposition gene. Nature 2008, 455, 930–935. 7. Valentijn, L. J.; Koster, J.; Zwijnenburg, D. A.; Hasselt, N. E.; van Sluis, P.; Volckmann, R. TERT rearrangements are frequent in neuroblastoma and identify aggressive tumors. Nat. Genet. 2015, 47, 1411–1414. 8. Schleiermacher, G.; Janoueix-Larosey, I.; Ribeiro, A.; de Torres, C.; Couturier, J.; Klijanienko, J. Segmental chromosomal alterations have prognostic impact in neuroblastoma: a report from the INRG project. Br. J. Cancer 2012, 107, 1418–1422. 9. Pugh, T.J.; Morozova, O.; Attiyeh, E.F.; Asgharzadeh, S.; Wei, J.S.; Auclair, D.; Carter, S.L.; Cibulskis, K.; Hanna, M.; Kiezun, A.; Kim, J.; Lawrence, M.S.; Lichenstein, L.; McKenna, A.; Pedamallu, C.S.; Ramos, A.H.; Shefler, E.; Sivachenko, A.; Sougnez, C.; Stewart, C.; Ally, A.; Birol, I.; Chiu, R.; Corbett, R.D.; Hirst, M.; Jackman, S.D.; Kamoh, B.; Khodabakshi, A.H.; Krzywinski, M.; Lo, A.; Moore, R.A.; Mungall, K.L.; Qian, J.; Tam, A.; Thiessen, N.; Zhao, Y.; Cole, K.A.; Diamond, M.; Diskin, S.J.; Mosse, Y.P.; Wood, A.C.; Ji, L.; Sposto, R.; Badgett, T.;; London, W.B.; Moyer, Y.; Gastier-Foster, J.M.; Smith, M.A.; Guidry Auvil, J.M.; Gerhard, D.S.; Hogarty, M.D.; Jones, S.J.; Lander, E.S.; Gabriel, S.B.; Getz, G.; Seeger, R.C.; Khan, J.; Marra, M.A.; Meyerson, M.; Maris, J.M. The genetic landscape of high-risk neuroblastoma. Nat. genet. 2013, 45, 279–284. 10. Park, J. R.; Eggert, A.; Caron, H. Neuroblastoma: biology, prognosis, and treatment. Hematol. Oncol. Clin. North Am. 2010, 24, 65–86. 11. van Groningen, T.; Koster, J.; Valentijn, L. J.; Zwijnenburg, D. A.; Akogul, N.; Chan, A. Neuroblastoma is composed of two super-enhancer-associated differentiation states. Nat. Genet. 2017, 49, 1261–1266. 12. Wang, J.; Roderick, J. E.; Keller, C. A.; Wang, H.; Basu, S.; Muth, A. ASCL1 regulates neuroblastoma tumor cell gene expression and lineage identity. Cell Rep. 2019, 26, 1531–1540. 13. Sengupta, S.; Das, S.; Crespo, A. C.; Cornel, A. M.; Patel, A. G.; Mahadevan, N. R. Mesenchymal and adrenergic cell lineage states in neuroblastoma possess distinct immunogenic phenotypes. Nat. Cancer. 2022, 3, 1228–1246. 14. Patel, A. G.; Ashenberg, O.; Collins, N. B.; Segerstolpe, Å.; Jiang, S.; Slyper, M.; Huang, X.; Caraccio, C.; Jin, H.; Sheppard, H. A spatial cell atlas of neuroblastoma reveals developmental, epigenetic and spatial axis of tumor heterogeneity. bioRxiv 2024, 2024.01.07.574538 (Version 2). 15. Thirant, C.; Peltier, A.; Durand, S.; Kramdi, A.; Louis-Brennetot, C.; Pierre-Eugène, C.; Gautier, M.; Costa, A.; Grelier, A.; Zaïdi, S. Reversible transitions between noradrenergic and mesenchymal tumor identities define cell plasticity in neuroblastoma. Nat. Commun. 2023, 14, 2575. 16. Yu, W.; Biyik-Sit, R.; Uzun, Y.; Chen, C.-H.; Thadi, A.; Sussman, J. H.; Pang, M.; Wu, C.-Y.; Grossmann, L. D.; Gao, P. Longitudinal single-cell multiomic atlas of high-risk neuroblastoma reveals chemotherapy-induced tumor microenvironment rewiring. Nat. Genet. 2025, 57, 1142–1154. 17. Jahangiri, L. Neuroblastoma Interaction with the Tumour Microenvironment and Its Implications for Treatment and Disease Progression. Curr. Oncol. 2023, 30, 9116–9140. 18. Yang, Y.; Li, H.; Zheng, D.; Li, X.; Liu, H. Immune Microenvironment Heterogeneity Reveals Distinct Subtypes in Neuroblastoma: Insights into Prognosis and Therapeutic Targets. Aging. 2023, 15, 13345–13367. 19. Kennedy, P. T.; Zannoupa, D.; Son, M. H.; Dahal, L. N.; Woolley, J. F. Neuroblastoma: An Ongoing Cold Front for Cancer Immunotherapy. J. Immunother. Cancer. 2023, 11, e007798. 20. Stip, M. C.; Teeuwen, L.; Dierselhuis, M. P.; Leusen, J. H. W.; Krijgsman, D. Targeting the Myeloid Microenvironment in Neuroblastoma. J. Exp. Clin. Cancer Res. 2023, 42, 337. 21. Mao, C.; Poimenidou, M.; Craig, B. T. Current Knowledge and Perspectives of Immunotherapies for Neuroblastoma. Cancers. 2024, 16, 2865. 22. Tas, M. L.; Nagtegaal, M.; Kraal, K. C. J. M.; Tytgat, G. A. M.; Abeling, N. G. G. M.; Koster, J. Neuroblastoma Stage 4S: Tumor Regression Rate and Risk Factors of Progressive Disease. Pediatr. Blood Cancer. 2020, 67, e28061. 23. Monclair, T.; Brodeur, G. M.; Ambros, P. F.; Brisse, H. J.; Cecchetto, G.; Holmes, K. The International Neuroblastoma Risk Group (INRG) Staging System: An INRG Task Force Report. J. Clin. Oncol. 2009, 27, 298–303. 24. DuBois, S. G.; Macy, M. E.; Henderson, T. O. High-Risk and Relapsed Neuroblastoma: Toward More Cures and Better Outcomes. Am. Soc. Clin. Oncol. Educ. Book 2022, 42, 1–13. 25. Cohn, S.L. The International Neuroblastoma Risk group (inrg) classification system: an INRG task force report. J. Clin. Oncol. 2009, 27, 289-297. 26. Brodeur, G.M.; Bagatell, R. Mechanisms of neuroblastoma regression. Nat. Rev. Clin. Oncol. 2014, 11, 704–713. 27. Mokhtari, R.B.; Homayouni, T.S.; Baluch, N.; Morgatskaya, E.; Kumar, S., Das; B.; Yeger, H. Combination therapy in combating cancer. Oncotarget. 2017, 8, 38022–38043. 28. Pushpakom, S.; Iorio, F.; Eyers, P. A.; Escott, K. J.; Hopper, S.; Wells, A.; Doig, A. J.; Guilliams, T.; Latimer, J.; Sanseau, P. Drug repurposing: progress, challenges and recommendations. Nat. Rev. Drug Discov. 2019, 18, 41–58. 29. Saranraj, K.; Usha Kiran, P. Drug repurposing: clinical practices and regulatory pathways. Perspect. Clin. Res. 2025, 16, 61–68. 30. Jiang P.; Sinha S.; Aldape K.; Hannenhalli S.; Sahinalp C.; Ruppin E. Big data in basic and translational cancer research. Nat. Rev. Cancer. 2022, 22, 625-639. 31. Tsou, P.L.; Wu, C.J. Overview of the cancer genome atlas project. J internal medicine Taiwan. 2013, 24, 43-47 32. Cui, J.J.; McTigue, M.; Kania, R.; Edwards, M. Case history: xalkoritm (crizotinib), a potent and selective dual inhibitor of mesenchymal epithelial transition (MET) and anaplastic lymphoma kinase (ALK) for cancer treatment. Annu. Rep. Med. Chem. 2013, 48, 421–434. 33. Huang, C.T.; Hsieh, C.H.; Chung, Y.H.; Oyang, Y.J.; Huang, H.C.; Juan, H.F. Perturbational gene-expression signatures for combinatorial drug discovery. iScience 2019, 15, 291-306. 34. Saxton, R.A.; Sabatini, D.M. mTOR signaling in growth, metabolism, and disease. Cell. 2017, 168, 960-976. 35. Yip, C.K.; Murata, K.; Walz, T. Structure of the human mTOR complex I and its implications for rapamycin inhibition. Mol. Cell. 2010, 38, 768-774. 36. Liu, G.Y.; Sabatini, D.M. mTOR at the nexus of nutrition, growth, ageing and disease. Nat. Rev. Mol. Cell Biol. 2020, 21, 183-203. 37. Hou, W.; Liu, J.; Chen, P.; Wang, H.; Ye, B.C.; Qiang, F. Mutation analysis of key genes in RAS/RAF and PI3K/PTEN pathways in chinese patients with hepatocellular carcinoma. Oncol. Lett. 2014, 8, 1249-1254. 38. Luo, Q.; Du, R.; Liu, W.; Huang, G.; Dong, Z.; Li, X. PI3K/Akt/mTOR signaling pathway: role in esophageal squamous cell carcinoma, regulatory mechanisms and opportunities for targeted therapy. Front. Oncol. 2022, 22, 852383. 39. Yu, X.; Fa, H.; Jiang, X.; Zheng, W.; Yang, Y.; Jin, M.; Ma; X.; Jiang, W. Apatinib induces apoptosis and autophagy via the PI3K/AKT/mTOR and MAPK/ERK signaling pathways in neuroblastoma. Oncol. Lett. 2020, 20, 52. 40. Lin, X.; Han, L.; Weng, J.; Wang, K.; Chen, T. Rapamycin inhibits proliferation and induces autophagy in human neuroblastoma cells. Biosci. Rep. 2018, 38, BSR20181822. 41. Karlsson, E.; Pérez-Tenorio, G.; Amin, R.; Bostner, J.; Skoog, L.; Fornander, T.; Sgroi, D.C.; Nordenskjöld, B.; Hallbeck, A.L.; Stål, O. The mTOR effectors 4EBP1 and S6K2 are frequently coexpressed, and associated with a poor prognosis and endocrine resistance in breast cancer: a retrospective study including patients from the randomised Stockholm tamoxifen trials. Breast Cancer Res. 2013, 15, R96. 42. Lee, C.; Jasani, B.; Griffiths, D.F.R.; Gumbleton, M. Phospho-4e-BP1 and eIF4E overexpression synergistically drives disease progression in clinically confined clear cell renal cell carcinoma. Am. J. Cancer Res. 2015, 5, 2838-2848. 43. Musa, J.; Orth, M.F.; Dallmayer, M.; Baldauf, M.; Pardo, C.; Rotblat, B.; Kirchner, T.; Leprivier, G.; Grünewald, T.G.P. Eukaryotic initiation factor 4E-binding protein 1 (4E-BP1): a master regulator of mRNA translation involved in tumorigenesis. Oncogene. 2016, 35, 4675-4688. 44. Wang, B.; Jie, Z.; Joo, D.; Ordureau, A.; Liu, P.; Gan, W.; Guo, Ji.; Zhang, J.; North, B.J.; Dai, X.; Cheng, X.; Bian, X.; Zhang, L.; Harper, J.W.; Sun, S.C.; Wei, W. TRAF2 and OTUD7B govern a ubiquitin-dependent switch that regulates mTORC2 signalling. Nature. 2017, 545, 365–369. 45. Kovalski, J.R.; Bhaduri, A.; Zehnder, A.M.; Neela, P.H.; Che, Y.; Wozniak, G.G.; Khavari, P.A. The functional proximal proteome of oncogenic Ras includes mTORC2. Mol. Cell. 2019, 73, 830-844. 46. Obenauf, A.C.; Zou, Y.; Ji, A.L.; Vanharanta, S.; Shu, W.; Shi, H.; Kong, X.; Bosenberg, M.C.; Wiesner, T.; Rosen, N.; Lo, R.S.; Massagué, J. Therapy-induced tumour secretomes promote resistance and tumour progression. Nature. 2015, 520, 368-372. 47. Yao, Y.; Zhou, D.; Shi, D.; Zhang, H.; Zhan, S.; Shao, X.; Sun, K.; Sun, L.; Wu, G.; Tian, K.; Zhu, X.; He, S. GLI1 overexpression promotes gastric cancer cell proliferation and migration and induces drug resistance by combining with the AKT-mTOR pathway. Biomed. Pharmacother. 2019, 111, 993-1004. 48. Chen, W.; Ma, T.; Shen, X.-N.; Xia, X.-F.; Xu, G.-D.; Bai, X.-L. Macrophage-induced tumor angiogenesis is regulated by the TSC2–mTOR pathway. Cancer Res. 2012, 72, 1363–1372. 49. Rao, R. R.; Li, Q.; Odunsi, K.; Shrikant, P. A. The mTOR kinase determines effector versus memory cell fate of CD8⁺ T cells by regulating T-bet and Eomesodermin expression. Immunity. 2010, 32, 67–78. 50. Groenewald, W.; Lund, A.H.; Gay, D.M. The role of WNT pathway mutations in cancer development and an overview of therapeutic options. Cells. 2023, 12, 990-1009 51. Huels, D.J.; Ridgway, R.A.; Radulescu, S.; Leushacke, M.; Campbell, A.D.; Biswas, S.; Leedham, S.; Serra, S.; Chetty, R.; Moreaux, G. E-cadherin can limit the transforming properties of activating β-catenin mutations. EMBO J. 2015, 34, 2321–2333. 52. Jackstadt, R.; Hodder, M.C.; Sansom, O.J. WNT and β-Catenin in Cancer: Genes and Therapy. Annu. Rev. Cancer Biol. 2020, 4, 177–196. 53. Kleeman, S.O.; Leedham, S.J. Not all Wnt activation is equal: ligand-dependent versus ligand-independent wnt activation in colorectal cancer. Cancers. 2020, 12, 3355. 54. Cruciat, C.M.; Niehrs, C. Secreted and Transmembrane Wnt Inhibitors and activators. Cold Spring Harb. Perspect. Biol. 2013, 5, a015081. 55. Kakugawa, S.; Langton, P.F.; Zebisch, M.; Howell, S.A.; Chang, T.H.; Liu, Y.; Feizi, T.; Bineva, G., O’Reilly, N.; Snijders. Notum Deacylates Wnt Proteins to Suppress Signalling Activity. Nature. 2015, 519, 187–192. 56. Flanagan, D.J.; Pentinmikko, N.; Luopajärvi, K.; Willis, N.J.; Gilroy, K.; Raven, A.P.; Mcgarry, L.; Englund, J.I.; Webb, A.T.; Scharaw, S.; Jones, E.Y.; Vincent, J.P. NOTUM from apc-mutant cells biases clonal competition to initiate cancer. Nature. 2021, 594, 430–435. 57. Cancer Genome Atlas Research Network; Kandoth, C.; Schultz, N.; Cherniack, A.D.; Akbani, R.; Liu, Y.; Shen, H.; Robertson, A.G.; Pashtan, I.; Shen, R.; Benz, C.C.; Yau, C.; Laird, P.W.; Ding, L.; Zhang, W.; Mills, G.B.; Kucherlapati, R.; Mardis, E.R.; Levine, D.A. Integrated genomic characterization of endometrial carcinoma. Nature. 2013, 497, 67–73. 58. Kim, S.; Jeong, S. Mutation hotspots in the β-catenin gene: lessons from the human cancer genome databases. Mol. Cells 2019, 42, 8–16. 59. Kim, R.; Kim, S.; Kim, M. H.; Lee, J.; Park, S. H.; Lee, H. S. Early tumor-immune microenvironmental remodeling and response to first-line fluoropyrimidine and platinum chemotherapy in advanced gastric cancer. Cancer Discov. 2022, 12, 984–1001. 60. Esumi, H.; Lu, J.; Kurashima, Y.; Hanaoka, T. Antitumor activity of pyrvinium pamoate, 6-(dimethylamino)-2-[2-(2,5-dimethyl-1-phenyl-1H-pyrrol-3-yl)ethenyl]-1-methyl-quinolinium pamoate salt, showing preferential cytotoxicity during glucose starvation. Cancer Sci. 2004, 95, 685–690. 61. van der Zee, M.; Jia, Y.; Wang, Y.; Heijmans-Antonissen, C.; Ewing, P.C.;Franken, P.; Demayo, F.J.; Lydon, J.P.; Burger, C.W.; Fodde, R.; Blok, L.J. Alterations in Wnt-β-Catenin and pten signalling play distinct roles in endometrial cancer initiation and progression. J. Pathol. 2013, 230, 48–58. 62. Boys, E.L.; Liu, J.; Robinson, P.J.; Reddel, R.R. Clinical applications of mass spectrometry-based proteomics in cancer: where are we? Proteomics. 2023, 23, 7-8. 63. Macklin, A.; Khan, S.; Kislinger, T. Recent advances in mass spectrometry based clinical proteomics: applications to cancer research. Clinical Proteomics. 2020, 17, 17. 64. Bąchor, R.; Waliczek, M.; Stefanowicz, P.; Szewczuk, Z. Trends in the design of new isobaric labeling reagents for quantitative proteomics. Molecules. 2019, 24, 701. 65. Yadav, B.; Wennerberg, K.; Aittokallio, T.; Tang, J. Searching for Drug Synergy in Complex Dose-Response Landscapes Using an Interaction Potency Model. Comput. Struct. Biotechnol. J. 2015, 13, 504–513. 66. Rappsilber, J.; Mann, M.; Ishihama, Y. Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nat. Protoc. 2007, 2, 1896-1906. 67. Batth, T.S.; Francavilla, C.; Olsen, J,V. Off-line high-pH reversed-phase fractionation for in-depth phosphoproteomics. J Proteome Res. 2014, 13, 6176-6186. 68. Cox, J.; Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat. Biotechnol. 2008, 26, 1367-1372. 69. Cox, J.; Neuhauser, N.; Michalski, A.; Scheltema, R.A.; Olsen, J.V.; Mann, M. Andromeda: a peptide search engine integrated into the MaxQuant environment. J. Proteome Res. 2011, 10, 1794-1805. 70. Tyanova, S.; Temu, T.; Sinitcyn, P.; Carlson, A.; Hein, M.Y.; Geiger, T.; Mann, M.; Cox, J. The Perseus computational platform for comprehensive analysis of (prote) omics data. Nat. Methods 2016, 13, 731-740. 71. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. 2023, https://www.R-project.org. 72. Sievert, C. Interactive Web-Based Data Visualization with R, plotly, and shiny. Chapman and Hall/CRC. United Kingdom. 2020, https://plotly-r.com. 73. Sherman, B.T.; Hao, M.; Qiu, J.; Jiao, X.; Baseler, M.W.; Lane, H.C.; Imamichi, T.;Chang. W. DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update). Nucleic Acids Res. 2022, 5, 216-221. 74. Subramanian, A.; Tamayo, P.; Mootha, V.K.; Mukherjee, S.; Ebert, B.L.; Gillette, M.A.; Paulovich, A.; Pomeroy, S.L.; Golub, T.R.; Lander, E.S.; Mesirov, J.P. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. 2005, 102, 15545-15550. 75. Sazonova, E.V.; Petrichuk, S.V.; Kopeina, G.S.; Zhivotovsky, B. A link between mitotic defects and mitotic catastrophe: detection and cell fate. Biol Direct. 2021, 16, 25. 76. Surova, O.; Zhivotovsky, B. Various modes of cell death induced by DNA damage. Oncogene. 2013, 32, 3789-3797. 77. Cheung, N.K.V.; Dyer, M.A. Neuroblastoma: developmental biology, cancer genomics and immunotherapy. Nat. Rev. Cancer 2013, 13, 397-411. 78. Wilson, C.L.; Brinkman, T.M.; Cook, C.; Huang, S.; Hyun, G.; Green, D.M.; Furman, W.L.; Bhakta, N.; Ehrhardt, M.J.; Krasin, M.J.; Robison, L.L.; Ness, K.K.; Hudson, M.M. Clinically ascertained health outcomes, quality of life, and social attainment among adult survivors of neuroblastoma: A report from the St. Jude Lifetime Cohort. Cancer 2020, 126, 1330-1338. 79. Han, J.; Hastings, J.; Phimmachanh, M.; Fey, D.; Kolch, W.; Croucher, D. Personalized medicine for neuroblastoma: moving from static genotypes to dynamic simulations of drug response. J. Pers. Med. 2021, 11, 395. 80. Vézina, C.; Kudelski, A.; Sehgal, S.N. Rapamycin (AY-22,989), a new antifungal antibiotic. J. Antibiot. 1975, 28, 721-726. 81. Aspeslet, L.J.; Yatscoff, R.W. Requirements for therapeutic drug monitoring of sirolimus, an immunosuppressive agent used in renal transplantation. Clin. Ther. 2000, 22 ,86-92. 82. Mahi, A.N.; Zhang, E.Y.; Sherman, S.; Yu, J.J.; Medvedovic, M. Connectivity Map Analysis of a single-cell rna-sequencing -derived transcriptional signature of mTOR signaling. Int. J. Mol. Sci. 2021, 22, 4371. 83. Ponticelli, C. The pleiotropic effects of mTOR inhibitors. J. Nephrol. 2004, 17, 762-768. 84. Mercalli, A.; Calavita, I.; Dugnani, E.; Citro, A.; Cantarelli, E.; Nano, R.; Melzi, R.; Maffi, P.; Secchi, A.; Sordi, V.; Piemonti, L. Rapamycin unbalances the polarization of human macrophages to M1. Immunology 2013, 140, 179–190. 85. Beck, J.W.; Saavedra, D.; Antell, G.J.; Tejeiro, B. The treatment of pinworm infections in humans (enterobiasis) with pyrvinium chloride and pyrvinium pamoate. Am. J. Trop. Med. Hyg. 1959, 8, 349–352. 86. Ishii, I.; Harada, Y.; Kasahara, T. Reprofiling a classical anthelmintic, pyrvinium pamoate, as an anti-cancer drug targeting mitochondrial respiration. Front. Oncol. 2012, 2, 137. 87. Li, H.; Liu, S.; Jin, R.; Xu, H.; Li, Y.; Chen, Y.; Zhao, G. Pyrvinium pamoate regulates MGMT expression through suppressing the Wnt/β-catenin signaling pathway to enhance the glioblastoma sensitivity to temozolomide. Cell Death Discov. 2021, 2, 137. 88. Xu, L.; Zhang, L.; Hu, C.; Liang, S.; Fei, X.; Yan, N.; Zhang, Y.; Zhang, F. WNT pathway inhibitor pyrvinium pamoate inhibits the self-renewal and metastasis of breast cancer stem cells. Int. J. Oncol. 2016, 48, 1175–1186. 89. Deng, L.; Lei, Y.; Liu, R.; Li, J.; Yuan, K.; Li, Y.; Chen, Y.; Liu, Y.; Lu, Y.; Edwards, C. K. III; Huang, C.; Wei, Y. Pyrvinium targets autophagy addiction to promote cancer cell death. Cell Death Dis. 2013, 4, e614. 90. Dattilo, R.; Mottini, C.; Camera, E.; Lamolinara, A.; Auslander, N.; Doglioni, G.; Muscolini, M.; Tang, W.; Planque, M.; Ercolani, C.; et al. Pyrvinium pamoate induces death of triple-negative breast cancer stem-like cells and reduces metastases through effects on lipid anabolism. Cancer Res. 2020, 80, 4087–4102. 91. Zhang, C.; Zhang, Z.; Zhang, S.; Wang, W.; Hu, P. Targeting of Wnt/β‑Catenin by Anthelmintic Drug Pyrvinium Enhances Sensitivity of Ovarian Cancer Cells to Chemotherapy. Med. Sci. Monit. 2017, 23, 266‑275. 92. Du, L.; Lee, J.‑H.; Jiang, H.; Wang, C.; Wang, S.; Zheng, Z.; Shao, F.; Xu, D.; Xia, Y.; Li, J.; Zheng, Y.; Qian, X.; Li, X.; Kim, H.‑R.; Xing, D.; Liu, P.; Lu, Z.; Lyu, J. β‑Catenin Induces Transcriptional Expression of PD‑L1 to Promote Glioblastoma Immune Evasion. J. Exp. Med. 2020, 217, e20191115. 93. Weth, F.R.; Hoggarth, G.B.; Weth, A.F.; Paterson, E.; White, M.P.J.; Tan, S.T.; Peng, L.; Gray, C. Unlocking hidden potential: advancements, approaches, and obstacles in repurposing drugs for cancer therapy. Br. J. Cancer. 2023, 130, 703-715. 94. Pinto-Leite, R.; Botelho, P.; Ribeiro, E.; Oliveira, P.A.; Santos, L. Effect of sirolimus on urinary bladder cancer T24 cell line. J. Exp. Clin. Cancer Res. 2009, 28, 3. 95. Zheng, W.; Hu, J.; Lv, Y.; Bai, B.; Shan, L.; Chen, K.; Dai, S.; Zhu, H. Pyrvinium pamoate inhibits cell proliferation through ROS-mediated AKT-dependent signaling pathway in colorectal cancer. Med. Oncol. 2021, 38, 21. 96. Schultz, C.W.; McCarthy, G.A.; Nerwal, T.; Nevler, A.; DuHadaway, J.B.; McCoy, M.D.; Jiang, W.; Brown, S.Z.; Goetz, A.; Jain, A. The FDA-approved anthelmintic pyrvinium pamoate inhibits pancreatic cancer cells in nutrient-depleted conditions by targeting the mitochondria. Mol. Cancer Ther. 2021, 20, 2166-2176. 97. Zhang, X.; Lou, Y.; Zheng, X.; Wang, H.; Sun, J.; Dong, Q.; Han, B. Wnt blockers inhibit the proliferation of lung cancer stem cells. Drug Des. Devel. Ther. 2015, 9, 2399-2407. 98. Seront, E.; Van Damme, A.; Legrand, C.; Bisdorff-Bresson, A.; Orcel, P.; Funck-Brentano, T.; Sevestre, M.A.; Dompmartin, A.; Quere, I.; Brouillard, P.; Revencu, N.; De Bortoli, M.; Hammer, F.; Clapuyt, P.; Dumitriu, D.; Vikkula, M and Boon, L.M. Preliminary results of the European multicentric phase III trial regarding sirolimus in slow-flow vascular malformations. JCI Insight. 2023, 8, 21. 99. Tian, T.; Li, X.; Zhang, J. mTOR Signaling in Cancer and mTOR Inhibitors in Solid Tumor Targeting Therapy. Int. J. Mol. Sci. 2019, 20, 755. 100. Schöniger-Hekele, M.; Müller, C. Pilot study: rapamycin in advanced hepatocellular carcinoma. Aliment. Pharmacol. Ther. 2010, 32, 763-768. 101. Thoreen, C.C.; Sabatini, D.M. Rapamycin inhibits mTORC1, but not completely. Autophagy. 2009, 5, 725-726. 102. Komiya, T.; Memmott, R.M.; Blumenthal, G.M.; Bernstein, W.; Ballas, M.S.; De Chowdhury, R.; Chun, G.; Peer, C.J.; Figg, W.D.; Liewehr, D.J.; Steinberg, S.M.; Giaccone, G.; Szabo, E.; Kawabata, S.; Tsurutani, J.; Rajan, A.; Dennis, P.A. A phase I/II study of pemetrexed with sirolimus in advanced, previously treated non-small cell lung cancer. Transl. Lung Cancer Res. 2019, 8, 247-257. 103. Rim, E.Y.; Clevers, H.; Nusse, R. The Wnt pathway: from signaling mechanisms to synthetic modulators. Annu. Rev. Biochem. 2022, 91, 571-598. 104. Sunaga, N.; Kaira, K.; Shimizu, K.; Tanaka, I.; Miura, Y.; Nakazawa, S.; Ohtaki, Y.; Kawabata-Iwakawa, R.; Sato, M.; Girard, L. The oncogenic role of LGR6 overexpression induced by aberrant Wnt/β-catenin signaling in lung cancer. Thorac. Cancer. 2024, 15, 131-141. 105. Alvarado-Ortiz, E.; Ortiz-Sánchez, E.; Sarabia-Sánchez, M.A.; de la Cruz-López, K.G.; García-Carrancá, A.; Robles-Flores, M. Mutant p53 gain-of-function stimulates canonical Wnt signaling via PI3K/AKT pathway in colon cancer. J. Cell Commun. Signal. 2023, 17, 1389-1403. 106. Azbazdar, Y.; Demirci, Y.; Heger, G.; Ipekgil, D.; Karabicici, M.; Ozhan, G. Comparative membrane lipidomics of hepatocellular carcinoma cells reveals diacylglycerol and ceramide as key regulators of Wnt/β-catenin signaling and tumor growth. Mol. Oncol. 2023, 17, 2314-2336. 107. Barbarino, M.; Cesari, D.; Intruglio, R.; Indovina, P.; Namagerdi, A.; Bertolino, F.M.; Bottaro, M.; Rahmani, D.; Bellan, C.; Giordano, A. Possible repurposing of pyrvinium pamoate for the treatment of mesothelioma: A pre-clinical assessment. J. Cell Physiol. 2018, 233, 7391-7401. 108. Liu, L.; Xiao, B.; Hirukawa, A.; Smith, H.W.; Zuo, D.; Sanguin-Gendreau, V.; McCaffrey, L.; Nam, A.J.; Muller, W.J. Ezh2 promotes mammary tumor initiation through epigenetic regulation of the Wnt and mTORC1 signaling pathways. Proc. Natl. Acad. Sci. U.S.A. 2023, 120, e2303010120. 109. Kittirat, Y.; Phetcharaburanin, J.; Promraksa, B.; Kulthawatsiri, T.; Wangwiwatsin, A.; Klanrit, P.; Sangkhamanon, S.; Jarearnrat, A.; Thongchot, S.; Mahalapbutr, P.; Loilome, W.; Saya, H.; Namwat, N. Lipidomic analyses uncover apoptotic and inhibitory effects of pyrvinium pamoate on cholangiocarcinoma cells via mitochondrial membrane potential dysfunction. Front. Public. Health. 2021, 9, 766455. 110. Yang, H.; Sun, L.; Liu, M.; Mao, Y. Patient-derived organoids: a promising model for personalized cancer treatment. Gastroenterol. Rep. (Oxf.) 2018, 6, 243–245. pmc.ncbi.nlm.nih.gov 111. Langenberg, K. P. S.; van Hooff, S. R.; Koopmans, B.; Strijker, J. G. M.; Kholosy, W. M.; Ober, K.; et al. Exploring high-throughput drug sensitivity testing in neuroblastoma cell lines and patient-derived tumor organoids in the era of precision medicine. Eur. J. Cancer 2025, 218, 115275. 112. Chang, H. R.; Jung, E.; Cho, S.; Jeon, Y.-J.; Kim, Y. Targeting non-oncogene addiction for cancer therapy. Biomolecules 2021, 11, 129. 113. Nagel, R.; Semenova, E. A.; Berns, A. Drugging the addict: non-oncogene addiction as a target for cancer therapy. EMBO Rep. 2016, 17, 1516–1531. 114. Hjaltelin, J. X.; Izarzugaza, J. M. G.; Jensen, L. J.; Russo, F.; Westergaard, D.; Brunak, S. Identification of hyper-rewired genomic stress non-oncogene addiction genes across 15 cancer types. NPJ Syst. Biol. Appl. 2019, 5, 27. 115. Shi, W.; Jiang, T.; Nuciforo, P.; Hatzis, C.; Holmes, E.; Harbeck, N.; Sotiriou, C.; Peña, L.; Loi, S.; Rosa, D.D.; Chia, S.; Wardley, A.; Ueno, T.; Rossari, J.; Eidtmann, H.; Armour, A.; Piccart-Gebhart, M.; Rimm, D.L.; Baselga, J.; Pusztai, L. Pathway level alterations rather than mutations in single genes predict response to HER2-targeted therapies in the neo-ALTTO trial. Ann. Oncol. 2017, 28, 128–135. 116. Hein, J.B.; Nilsson, J. Interphase APC/C-Cdc20 inhibition by cyclin A2-Cdk2 ensures efficient mitotic entry. Nat Commun. 2016, 120, e2303010120. 117. Kang, P.; Han, Z.; Liao, Z.; Zhang, H.; Jia, W.; Tian, Y. Knockdown of MCM10 Gene Impairs Glioblastoma Cell Proliferation, Migration and Invasion and the Implications for the Regulation of Tumorigenesis. J. Mol. Neurosci. 2020, 70, 759-768. 118. Yang, H.; Zhen, X.; Yang, Y.; Zhang, Y.; Zhang, S.;; Hao, Y.; Du, G.; Wang, H.; Zhang, B.; Li, W.; Wang, J. ERCC6L facilitates the onset of mammary neoplasia and promotes the high malignance of breast cancer by accelerating the cell cycle. J. Exp. Clin. Cancer Res. 2023, 42, 227. 119. Gasnereau, I.; Boissan, M.; Margall-Ducos, G.; Couchy, G.; Wendum, D.; Bourgain-Guglielmetti, F.; Desdouets, C.; Lacombe, M.L.; Zucman-Rossi, J.; Sobczak-Thépot, J. KIF20A mRNA and its product MKlp2 are increased during hepatocyte proliferation and hepatocarcinogenesis. Am. J. Pathol. 2012, 180, 131-140. 120. Tang, C.; Ke, M.; Yu, X.; Sun, S.; Luo, X.; Liu, X.; Zhou, Y.; Wang, Z.; Cui, X.; Gu, C.; Yang, Y. GART Functions as a Novel Methyltransferase in the RUVBL1/β-Catenin Signaling Pathway to Promote Tumor Stemness in Colorectal Cancer. Adv. Sci. 2023, 10, e2301264. 121. Li, Q.; Tong, D.; Jing, X.; Ma, P.; Li, F.; Jiang, Q.; Zhang, J.; Wen, H.; Cui, M.; Huang, C.; Zhang, M. MAD2L1 is transcriptionally regulated by TEAD4 and promotes cell proliferation and migration in colorectal cancer. Cancer Gene Ther. 2023, 30, 727-737. 122. Zhou, J.; Chan, J.; Lambelé, M.; Yusufzai, T.; Stumpff, J.; Opresko, P.L.; Thali, M.; Wallace, S.S. NEIL3 Repairs Telomere Damage during S Phase to Secure Chromosome Segregation at Mitosis. Cell Rep. 2017, 20, 2044-2056. 123. Shi, R.; Wang, Y.; Gao, Y.; Xu, X.; Mao, S.; Xiao, Y.; Song, S.; Wang, L.; Tian, B.; Zhao, Y.; Hua, Y.; Xu, H. Succinylation at a key residue of FEN1 is involved in the DNA damage response to maintain genome stability. Am. J. Physiol. Cell Physiol. 2020, 319, 657-666. 124. Mitra, S.; Srinivasan, B.; Jansen, L.E.T. Stable inheritance of CENP-A chromatin: Inner strength versus dynamic control. J. Cell Biol. 2020, 219, e202005099. 125. Serafim, R.B.; Cardoso, C.; Storti, C.B.; da Silva, P.; Qi, H.; Parasuram, R.; Navegante, G.; Peron, J.P.S.; Silva, W.A. Jr.; Espreafico, E.M.; Paçó-Larson, M.L.; Price, B.D.; Valente, V. HJURP is recruited to double-strand break sites and facilitates DNA repair by promoting chromatin reorganization. Oncogene. 2024, 43, 804-820. 126. Huang, X.; Jiang, L.; Lu, S.; Yuan, M.; Lin, H.; Li, B.; Wen, Z.; Zhong, Y. Overexpression of ERCC6L correlates with poor prognosis and confers malignant phenotypes of lung adenocarcinoma. Oncol. Rep. 2022, 48,131. 127. Brosh, R.M.; Trakselis, M.A. Fine-tuning of the replisome: Mcm10 regulates fork progression and regression. Cell Cycle. 2019, 18, 1047-1055. 128. Datta, S.; Sears, T.; Cortopassi, G.; Woolard, K.; Angelastro, J.M. Repurposing FDA approved drugs inhibiting mitochondrial function for targeting glioma-stem like cells. Biomed. Pharmacother. 2020, 133, 111058. 129. Gomez-Manjarres, D.C.; Axell-House, D.B.; Patel, D.C.; Odackal, J.; Yu, V.; Burdick, M.D.; Mehrad, B. Sirolimus suppresses circulating fibrocytes in idiopathic pulmonary fibrosis in a randomized controlled crossover trial. JCI Insight. 2023, 8, e166901. 130. Xiang, W.; Cheong, J.K.; Ang, S.H.; Teo, B.; Xu, P.; Asari, K.; Sun, W.T.; Than, H.; Bunte, R.M.; Virshup, D.M.; Chuah, C. Pyrvinium selectively targets blast phase-chronic myeloid leukemia through inhibition of mitochondrial respiration. Oncotarget. 2015, 6, 33769-33780. 131. Harada, Y.; Ishii, I.; Hatake, K.; Kasahara, T. Pyrvinium pamoate inhibits proliferation of myeloma/erythroleukemia cells by suppressing mitochondrial respiratory complex I and STAT3. Cancer Lett. 2012, 319, 83-88. 132. Gu, Y.; Tang, S.; Wang, Z.; Cai, L.; Lian, H.; Shen, Y.; Zhou, Y. A pan-cancer analysis of the prognostic and immunological role of β-actin (ACTB) in human cancers. Bioengineered. 2021, 12, 6166-6185. 133. Zhu, Y.; Zhang, X.; Wang, L.; Zhu, X.; Xia, Z.; Xu, L.; Xu, J. FENDRR suppresses cervical cancer proliferation and invasion by targeting miR-15a/b-5p and regulating TUBA1A expression. Cancer Cell Int. 2020, 20, 152. 134. Yamaguchi, H.; Condeelis, J. Regulation of the actin cytoskeleton in cancer cell migration and invasion. Biochim. Biophys. Acta 2006, 1773, 642–652. 135. Zhang, L.; Liu, N.; Xie, S.; He, X.T.; Zhou, J.; Liu, M.; Li, D. HDAC6 regulates neuroblastoma cell migration and may play a role in the invasion process. Cancer Biol. Ther. 2014, 15, 1561–1570. 136. Vorobjev, I. Cytoskeleton in the focus of anti-cancer therapy: In a search of novel biomarkers and combinatorial therapy approaches. Front. Pharmacol. 2022, 13, 1069821. 137. McGrogan, B.T.; Gilmartin, B.; Carney, D.N.; McCann, A. Taxanes, microtubules and chemoresistant breast cancer. Biochim. Biophys. Acta 2008, 1785, 96–132. 138. Bates, D.; Eastman, A. Microtubule-destabilising agents: far more than just antimitotic anticancer drugs. Br. J. Clin. Pharmacol. 2017, 83, 255–268. 139. Ismail, U.; Killeen, R.B. Taxane Toxicity. In StatPearls; StatPearls Publishing: Treasure Island (FL), 2023; pp. 1–21. 140. Chantaravisoot, N.; Tangsuksan, M.; Poomtong, T.; Kitidee, K.; Honsawek, S. mTORC2 interactome and localization determine aggressiveness of high-grade glioma. Sci. Rep., 2023, 13 141. Wang, R.; Li, N.; Yang, C.; Zhou, Y.; Zhang, Y.; Duan, E. mTOR hypoactivity leads to trophectoderm cell failure via actin dynamics. Development, 2023, 150 142. Rivera-Nieves, J.; Gómez, A.; Martínez, M.; Lin, Y.; Chien, C.-L. Influence of intersignaling crosstalk on YAP/TAZ localization. Front. Cell Dev. Biol., 2024, 12 143. Zhang, Y.; Liu, J.; Peng, X.; Zhu, C.C.; Han, J.; Luo, J.; Rui, R. KIF20A regulates porcine oocyte maturation and early embryo development. PLoS One. 2014, 9, e102898. 144. Zhu, C.; Zhao, J.; Bibikova, M.; Leverson, J.D.; Bossy-Wetzel, E.; Fan, J.B.; Abraham, R.T.; Jiang, W. Functional analysis of human microtubule-based motor proteins, the kinesins and dyneins, in mitosis/cytokinesis using RNA interference. Mol. Biol. Cell. 2005, 16, 3187-3199. 145. Mizushima, N. Autophagy: process and function. Genes Dev. 2007, 21, 2861–2873. 146. Yun, C.W.; Jeon, J.; Go, G.; Lee, J.H.; Lee, S.H. The dual role of autophagy in cancer development and a therapeutic strategy for cancer by targeting autophagy. Int. J. Mol. Sci. 2021, 22, 179. 147. Belounis, A.; Nyalendo, C.; Le Gall, R.; Imbriglio, T.V.; Mahma, M.; Teira, P.; Beaunoyer, M.; Cournoyer, S.; Haddad, E.; Vassal, G.; Sartelet, H. Autophagy is associated with chemoresistance in neuroblastoma. BMC Cancer 2016, 16, 891. 148. Denton, D.; Kumar, S. Autophagy-dependent cell death. Cell Death Differ., 2019, 26, 605–616. 149. Galluzzi, L.; Baehrecke, E.H.; Ballabio, A.; Boya, P.; Bravo-San Pedro, J.M.; Cecconi, F., Molecular definitions of autophagy and related processes. EMBO J., 2017, 36, 1811–1836. 150. Liu, S.; Yao, S.; Yang, H.; Liu, S.; Wang, Y. Autophagy: Regulator of cell death. Cell Death Dis. 2023, 14, 648. 151. Liu, Y.; Shoji-Kawata, S.; Sumpter, R.M., Jr.; Wei, Y.; Ginet, V.; Zhang, L. Autosis is a Na⁺/K⁺-ATPase-regulated form of cell death triggered by autophagy-inducing peptides, starvation, and hypoxia–ischemia. Proc. Natl. Acad. Sci. USA. 2013, 110, 20364-20371. 152. Denton, D.; Kumar, S. Autophagy-dependent cell death. Cell Death Differ. 2019, 26, 605–616. 153. Gu, J.; Hu, W.; Song, Z.P.; Chen, Y.G.; Zhang, D.D.; Wang, C.Q. Rapamycin Inhibits Cardiac Hypertrophy by Promoting Autophagy via the MEK/ERK/Beclin-1 Pathway. Front. Physiol. 2016, 7, 104. 154. Takamura, A.; Komatsu, M.; Hara, T.; Sakamoto, A.; Kishi, C.; Waguri, S.; Eishi, Y.; Hino, O.; Tanaka, K.; Mizushima, N. Autophagy-deficient mice develop multiple liver tumors. Genes Dev. 2011, 25, 795–800. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98567 | - |
| dc.description.abstract | 神經母細胞瘤為常見且高度惡性的兒童腫瘤,目前仍缺乏有效治療策略。近年來,「藥物重新定位」被視為解決此臨床缺口的有望途徑。本研究使用 LINCS (Library of Integrated Network-Based Cellular Signatures)資料庫中的小分子誘導基因表現譜,系統性鑑定出兩種已獲 FDA 核准的藥物pyrvinium pamoate 及 sirolimus作為潛在的合併用藥組合。功能性試驗(集落形成以及三維病人來源類器官模型)顯示,雙藥併用相較於單獨施用任一藥物,具有顯著提升的抗腫瘤效力。由 LINCS 分析預測的多個靶基因在藥物處理後樣本中同步下調。為闡明協同效應的機制,我們採用 TMT (Tandem Mass Tag) 串聯質譜標籤進行定量蛋白體學的分析,於 20,623 條胜肽序列中鑑定出 3,416 種蛋白質。接著透過 GSEA 與 DAVID 生物資訊平台進行路徑分析,結果顯示合併用藥可大幅抑制細胞骨架形成,與觀察到的細胞遷移能力降低相符;同時,蛋白質表現譜亦指出合併用藥導致明顯的細胞週期停滯。進一步實驗證實,在雙藥併用條件下自噬活性顯著升高。
總結而言,本研究揭示了pyrvinium pamoate 及 sirolimus併用提升療效的分子機制,並支持其作為低毒性、可重新定位之藥物組合,用於改善神經母細胞瘤治療成果的潛力。 | zh_TW |
| dc.description.abstract | Neuroblastoma is a common and highly malignant pediatric tumor that currently lacks effective therapeutic strategies. Drug repurposing has recently emerged as a promising avenue to address this unmet clinical need. In this study, we systematically screened small-molecule-induced gene expression profiles from the Library of Integrated Network-Based Cellular Signatures (LINCS) and identified two FDA-approved compounds pyrvinium pamoate and sirolimus as promising candidates for combinatorial therapy against neuroblastoma. Functional assays, including colony formation and three-dimensional patient-derived organoid models, demonstrated that the combined application of these two agents produced significantly greater antitumor efficacy than either compound used individually. Expression levels of multiple target genes predicted through LINCS analysis were concurrently downregulated in treated samples. To elucidate the underlying mechanisms responsible for this enhanced efficacy, we employed tandem mass tag (TMT)-based quantitative proteomic profiling, identifying 3,416 proteins across 20,623 peptide sequences. Subsequent pathway analysis using Gene Set Enrichment Analysis (GSEA) and the DAVID bioinformatics resource revealed that the combination therapy led to a marked suppression of cytoskeletal assembly, which was consistent with the observed inhibition of cellular motility. In addition, protein expression profiles indicated that the dual-drug treatment resulted in significant cell cycle arrest. Further investigations confirmed that autophagic activity was notably elevated under combination treatment conditions. Collectively, these findings provide mechanistic insight into the enhanced therapeutic action of sirolimus and pyrvinium pamoate co-administration and support their potential use as a low-toxicity, repurposed drug combination for improving neuroblastoma treatment outcomes. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-08-18T00:54:25Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-08-18T00:54:25Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 目次
口試委員審定書……………………………………………………………………….i 致謝……………………………………………………………………………………ii 中文摘要…………………………………………………………………………iii Abstract…………………………………………………………………………… iv 目次.................................................................................................................vi List of Figures....................................................................................................................x List of Tables....................................................................................................................xii List of Appendix..... ........................................................................................................ xiv Chapter 1. Introduction.......................................................................................................1 1.1 Overview of neuroblastoma..................................................................................1 1.2 Molecular heterogeneity of neuroblastoma.........................................................11 1.3 Transcriptomic subtypes: ADRN vs MES..........................................................22 1.4 Tumor microenvironment and immune evasion...................................................2 1.5 Evolution of clinical staging.................................................................................3 1.6 Limitations and challenges of current therapies...................................................4 1.7 Drug repurposing and combination therapy strategies.........................................4 1.8 High-throughput drug screening...........................................................................5 1.9 Sirolimus: targeting the mTOR pathway...............................................................6 1.10 Pyrvinium pamoate: inhibiting WNT signaling and mitochondrial function.......7 1.11 Proteomic evaluation of combination efficacy.....................................................8 1.12 Objective of thesis................................................................................................8 Chapter 2. Materials and Methods..................................................................................10 2.1 Cell lines ...............................................................................................................10 2.2 Cell viability assay..............................................................................................10 2.3 Colony forming assay ........................................................................................11 2.4 Drug response quantification and synergy analysis.............................................11 2.5 Patient material processing..................................................................................12 2.6 Isolation of specimen cells ...................................................................................14 2.7 3D organoid formation and maintenance.............................................................15 2.8 Effects of drug treatment on survival of 3d organoids.........................................15 2.9 Cell synchronization.............................................................................................16 2.10 Immunofluorescence..........................................................................................17 2.11 Real-time PCR....................................................................................................19 2.12 Sample preparation for quantitative proteome analysis......................................21 2.13 Nano lc–ms/ms and data analysis.......................................................................22 2.14 Principal component analysis.............................................................................24 2.15 Functional enrichment with gene ontology analysis..........................................24 2.16 Gene set enrichment analysis.............................................................................25 2.17 Cell migration assay...........................................................................................25 2.18 Western blotting.................................................................................................26 2.19 Statistical analysis..............................................................................................27 Chapter 3. Result..............................................................................................................28 3.1 Combination treatment of sirolimus and pyrvinium pamoate decreased the proliferation of neuroblastoma............................28 3.2 Gene expression and pathway analysis unveiling the possible mechanisms of combination treatment of sirolimus and pyrvinium pamoate..............30 3.3 Quantitative proteomic analysis reveals the impact of combination therapy.......31 3.4 Functional enrichment analysis revealed the molecular mechanisms of dual-drug treatment......................................33 3.5 Combination therapy induced cell migration and cell death through autophagy.......................................... 35 Chapter 4. Discussion......................................................................................................38 Chapter 5. Conclusion.....................................................................................................50 References........................................................................................................................52 Figures..............................................................................................................................77 Tables..............................................................................................................................101 Appendix........................................................................................................................147 List of Figures Fig. 1. Evaluation of neuroblastoma cell line responses to sirolimus and pyrvinium pamoate combination treatment...................................................77 Fig. 2. Correlation of genes affected by pyrvinium pamoate and sirolimus with prognostic overall survival in neuroblastoma...........................79 Fig. 3. Effect of pyrvinium pamoate and sirolimus on mRNA expression in neuroblastoma cell lines...83 Fig. 4. The 12 genes suppressed by pyrvinium pamoate and sirolimus treatment impair mitotic progression in neuroblastoma cells.................................................85 Fig. 5. Representative images and quantification of mitotic cell ratios....................................................87 Fig. 6. Experimental design for quantitative proteomic analysis of SK-N-DZ cells after treatment with pyrvinium pamoate, sirolimus, or the combination of both............89 Fig. 7. Quantitative proteomic profiling of SK-N-DZ cells following treatment with pyrvinium pamoate, sirolimus, or their combination......................90 Fig. 8. Biological process alterations induced by monotherapy and combination treatment...................92 Fig. 9. DAVID functional annotation highlights differential biological effects of pyrvinium pamoate, sirolimus, and their combination in SK-N-DZ cells.......94 Fig. 10. Combined treatment disrupts cytoskeletal organization.............................................................96 Fig. 11. Combination therapy induces autophagy-mediated cell death in SK-N-DZ cells.......................98 Fig. 12. Western blot original images...............................100 List of Tables Table 1: Predicted impact of combined therapy in neuroblastoma cell lines...........................................101 Table 2: Up regulated proteins for quantitative proteomics of treatment with pyrvinium pamoate, sirolimus or combination therapy in SK-N-DZ........................................102 Table 3: Down regulated proteins for quantitative proteomics of treatment with pyrvinium pamoate, sirolimus or combination therapy in SK-N-DZ.........................................112 Table 4: The DAVID analysis revealed significant differences between pyrvinium pamoate treated and control-treated SK-N-DZ cells..............................123 Table 5: The GSEA revealed significant differences between pyrvinium pamoate-treated and control-treated SK-N-DZ cells........................................129 Table 6: The DAVID analysis revealed significant differences between sirolimus-treated and control-treated SK-N-DZ cells..........................131 Table 7: The GSEA revealed significant differences between sirolimus-treated and control-treated SK-N-DZ cells..................................................................132 Table 8: The DAVID analysis revealed significant differences between combine-treated and control-treated SK-N-DZ cells from batch1....134 Table 9: The DAVID analysis revealed significant differences between combine-treated and control-treated SK-N-DZ cells from batch 2...........................................135 Table 10: The GSEA revealed significant differences between combine-treated and control-treated SK-N-DZ cells from batch 1.................................................137 Table 11: The GSEA revealed significant differences between combine-treated and control-treated SK-N-DZ cells from batch 2.....................................................140 Table 12: The DAVID analysis revealed significant differences between combine-treated and pyrvinium pamoate-treated SK-N-DZ cells..............................................141 Table 13: The DAVID analysis revealed significant differences between combine-treated and sirolimus-treated SK-N-DZ cells.......................................................142 Table 14: The GSEA revealed significant differences between combine-treated and pyrvinium pamoate-treated SK-N-DZ cells.......................................................143 Table 15: The GSEA revealed significant differences between combine-treated and sirolimus-treated SK-N-DZ cells.........................................................144 Appendix Appendix 1. Global proteome profile of control, pyrvinium pamoate, sirolimus and combined treatment for neuroblastoma............................................146 | - |
| dc.language.iso | en | - |
| dc.subject | pyrvinium pamoate | zh_TW |
| dc.subject | 神經母細胞瘤 | zh_TW |
| dc.subject | 合併治療 | zh_TW |
| dc.subject | tandem mass tag | zh_TW |
| dc.subject | sirolimus | zh_TW |
| dc.subject | sirolimus | en |
| dc.subject | tandem mass tag | en |
| dc.subject | combination therapy | en |
| dc.subject | pyrvinium pamoate | en |
| dc.subject | Neuroblastoma | en |
| dc.title | 定量蛋白體學解析合併用藥對神經母細胞瘤細胞骨架組成與自噬誘導細胞死亡的協同效應 | zh_TW |
| dc.title | Quantitative Proteomics Unveils Synergistic Effects of Combination drugs on Cytoskeleton Composition and Autophagy-Mediated Cell Death in Neuroblastoma | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 博士 | - |
| dc.contributor.oralexamcommittee | 黃宣誠;張心儀;徐駿森;李岳倫 | zh_TW |
| dc.contributor.oralexamcommittee | Hsuan-Cheng Huang;Hsin-Yi Chang;Chun-Hua Hsu;Alan Yueh-Luen Lee | en |
| dc.subject.keyword | 神經母細胞瘤,pyrvinium pamoate,sirolimus,tandem mass tag,合併治療, | zh_TW |
| dc.subject.keyword | Neuroblastoma,pyrvinium pamoate,sirolimus,tandem mass tag,combination therapy, | en |
| dc.relation.page | 312 | - |
| dc.identifier.doi | 10.6342/NTU202503529 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2025-08-10 | - |
| dc.contributor.author-college | 生命科學院 | - |
| dc.contributor.author-dept | 分子與細胞生物學研究所 | - |
| dc.date.embargo-lift | 2025-08-18 | - |
| 顯示於系所單位: | 分子與細胞生物學研究所 | |
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