1. Corey SJ, Minden MD, Barber DL, Kantarjian H, Wang JC, Schimmer AD.
Myelodysplastic syndromes: the complexity of stem-cell diseases. Nat Rev Cancer.
2007;7:118-29.
2. Desborough M, Estcourt LJ, Chaimani A, Doree C, Hopewell S, Trivella M,
Hadjinicolaou AV, Vyas P, Stanworth SJ. Alternative agents versus prophylactic
platelet transfusion for preventing bleeding in patients with thrombocytopenia due to
chronic bone marrow failure: a network meta-analysis and systematic review.
Cochrane Database Syst Rev. 2016 Jan 26; 2016(1): CD012055.
3. Ma X. Epidemiology of Myelodysplastic Syndromes. Am J Med. 2012 Jul; 125.
4. Vera Adema and Rafael Bejar. What lies beyond del(5q) in myelodysplastic
syndrome? Haematologica. 2013 Dec; 98(12): 1819–1821
5. Dilek Aktas, Ergul Tuncbilek. Myelodysplastic syndrome associated with monosomy
7 in childhood: a retrospective study. Cancer Genet Cytogenet. 2006 Nov; 171(1): 725.
6. Hellstrom-Lindberg E, Gulbrandsen N, ¨ Lindberg G, Ahlgren T, Dahl IMS, Dybedal
I, Grimfors G, Hesse-Sundin E, Hjorth M, Kanter-Lewensohn L, Linder O, Luthman
33
M, Löfvenberg E, Oberg G, Porwit-MacDonald A, Rådlund A, Samuelsson J, Tangen
JM, Winquist I, Wisloff F. A validated decision model for treating the anaemia of
myelodysplastic syndromes with erythropoietin 1 granulocyte colonystimulating
factor: significant effects on quality of life. Br J Haematol. 2003;120(6):1037-1046.
7. Oelschlaegel U, Alexander Rohnert M, Mohr B, Sockel K, Herold S, Ehninger G,
Bornhäuser M, Thiede C, Platzbecker U. Clonal architecture of del(5q)
myelodysplastic syndromes: aberrant CD5 or CD7 expression within the myeloid
progenitor compartment defines a subset with high clonal burden. Leukemia.
2016;30(2):517-520.
8. Giagounidis AAN, Kulasekararaj A, Germing U, Radkowski R, Haase S, Petersen P,
Göhring G, Büsche G, Aul C, Mufti GJ, Platzbecker U. Long-term transfusion
independence in del(5q) MDS patients who discontinue lenalidomide. Leukemia.
2012;26(4):855-858.
9. Giagounidis A, Mufti GJ, Mittelman M, Sanz G, Platzbecker U, Muus P, Selleslag D,
Beyne-Rauzy O, te Boekhorst P, del Cañizo C, Guerci-Bresler A, Nilsson L, Lübbert
M, Quesnel B, Ganser A, Bowen D, Schlegelberger B, Göhring G, Fu T, Benettaib B,
Hellström-Lindberg E, Fenaux P. Outcomes in RBC transfusion-dependent patients
with low-/intermediate-1-risk myelodysplastic syndromes with isolated deletion 5q
treated with lenalidomide: a subset analysis from the MDS-004 study. Eur J Haematol.
2014;93(5):429-438.
34
10. Fenaux P, Giagounidis A, Selleslag D, Beyne-Rauzy O, Mufti G, Mittelman M, Muus
P, Te Boekhorst P, Sanz G, Del Cañizo C, Guerci-Bresler A, Nilsson L, Platzbecker
U, Lübbert M, Quesnel B, Cazzola M, Ganser A, Bowen D, Schlegelberger B, Aul C,
Knight R, Francis J, Fu T, Hellström-Lindberg E; MDS-004 Lenalidomide del5q
Study Group. A randomized phase 3 study of lenalidomide versus placebo in RBC
transfusion-dependent patients with Low-/Intermediate-1-risk myelodysplastic
syndromes with del5q. Blood. 2011;118(14):3765-3776.
11. Jadersten M, Saft L, Smith A, Kulasekararaj A, Pomplun S, Göhring G, Hedlund A,
Hast R, Schlegelberger B, Porwit A, Hellström-Lindberg E, Mufti GJ. TP53 mutations
in low-risk myelodysplastic syndromes with del(5q) predict disease progression. J
Clin Oncol. 2011;29(15): 1971-1979.
12. Mossner M, Jann JC, Nowak D, Platzbecker U, Giagounidis A, Götze K, Letsch A,
Haase D, Shirneshan K, Braulke F, Schlenk RF, Haferlach T, Schafhausen P, Bug G,
Lübbert M, Ganser A, Büsche G, Schuler E, Nowak V, Pressler J, Obländer J, Fey S,
Müller N, Lauinger-Lörsch E, Metzgeroth G, Weiß C, Hofmann WK, Germing U,
Nolte F. Prevalence, clonal dynamics and clinical impact of TP53 mutations in
patients with myelodysplastic syndrome with isolated deletion (5q) treated with
lenalidomide: results from a prospective multicenter study of the german MDS study
group (GMDS). Leukemia. 2016;30(9):1956-1959.
13. Sallman DA, Komrokji R, Vaupel C, Cluzeau T, Geyer SM, McGraw KL, Al Ali NH,
Lancet J, McGinniss MJ, Nahas S, Smith AE, Kulasekararaj A, Mufti G, List A, Hall
35
J, Padron E. Impact of TP53 mutation variant allele frequency on phenotype and
outcomes in myelodysplastic syndromes. Leukemia. 2016; 30(3):666-673.
14. Scharenberg C, Giai V, Pellagatti A, Saft L, Dimitriou M, Jansson M, Jädersten M,
Grandien A, Douagi I, Neuberg DS, LeBlanc K, Boultwood J, Karimi M, Jacobsen
SE, Woll PS, Hellström-Lindberg E. Progression in patients with low- and
intermediate-1-risk del(5q) myelodysplastic syndromes is predicted by a limited
subset of mutations. Haematologica. 2017;102(3): 498-508
15. Platzbecker U. Treatment of MDS. Blood. 2019;133:1096-107.
16. Wang YP, Lei QY. Metabolic recoding of epigenetics in cancer. Cancer
Communications. 2018; 38 (1): 25.
17. Daura-Oller E, Cabre M, Montero MA, Paternain JL, Romeu A. Specific gene
hypomethylation
and
cancer:
new
insights
into
coding
region
feature
trends. Bioinformation. 2009; 3 (8): 340–343
18. Bates D, Eastman A. Microtubule destabilising agents: far more than just antimitotic
anticancer drugs. Br J Clin Pharmacol. 2017;83:255-68.
19. Chemotherapy-induced Peripheral Neuropathy. NCI Cancer Bulletin. Feb 23, 2010
[archived 2011-12-11];7(4):6.
36
20. Graf WD, Chance PF, Lensch MW, Eng LJ, Lipe HP, Bird TD. Severe vincristine
neuropathy in Charcot-Marie-Tooth disease type 1A Cancer. 1996. 77 (7): 1356–62
21. Olive KP, Jacobetz MA, Davidson CJ, Gopinathan A, McIntyre D, Honess D, Madhu
B, Goldgraben MA, Caldwell ME, Allard D, Frese KK, Denicola G, Feig C, Combs
C, Winter SP, Ireland-Zecchini H, Reichelt S, Howat WJ, Chang A, Dhara M, Wang
L, Rückert F, Grützmann R, Pilarsky C, Izeradjene K, Hingorani SR, Huang P, Davies
SE, Plunkett W, Egorin M, Hruban RH, Whitebread N, McGovern K, Adams J,
Iacobuzio-Donahue C, Griffiths J, Tuveson DA. Inhibition of Hedgehog signaling
enhances delivery of chemotherapy in a mouse model of pancreatic cancer. Science
2009; 324:1457–61.
22. Von Hoff DD, Ervin T, Arena FP, Chiorean EG, Infante J, Malcolm Moore M, Seay
T, Tjulandin SA, Ma WW, Saleh MN, Harris M, Reni M, Dowden S, Laheru D,
Bahary N, Ramanathan RK, Tabernero J, Hidalgo M, Goldstein D, Van Cutsem E,
Wei X, Iglesias J, Renschler MF. Increased survival in pancreatic cancer with nabpaclitaxel plus gemcitabine. N Engl J Med 2013;369:1691–703.
23. Eberle-Singh JA, Sagalovskiy I, Maurer HC, Sa.stra SA, Palermo CF, Decker AR,
Kim MJ, Sheedy J, Mollin A, Cao L, Hu J, Branstrom A, Weetall M, Olive KP.
Effective delivery of a microtubule polymerization inhibitor synergizes with standard
regimens in models of pancreatic ductal adenocarcinoma. Clin Cancer Res.
2019;25:5548-60.
37
24. Nishida Y, Maeda A, Kim MJ, Cao L, Kubota Y, Ishizawa J, AlRawi A, Kato Y, Iwama
A, Fujisawa M, Matsue K, Weetall M, Dumble M, Andreeff M, Davis TW, Branstrom
A, Kimura S, Kojima K. The novel BMI-1 inhibitor PTC596 downregulates MCL-1
and induces p53-independent mitochondrial apoptosis in acute myeloid leukemia
progenitor cells. Blood Cancer J. 2017;7: e527.
25. Maeda A, Nishida Y, Weetall M, Cao L, Branstrom A, Ishizawa J, Nii T, Schober WD,
Abe Y, Matsue K, Yoshimura M, Kimura S, Kojima K. Targeting of BMI-1 expression
by the novel small molecule PTC596 in mantle cell lymphoma. Oncotarget.
2018;9:28547-60.
26. Bolomsky A, Muller J, Stangelberger K, Lejeune M, Duray E, Breid H, Vrancken L,
Pfeiffer C, Hübl W, Willheim M, Weetall M, Branstrom A, Zojer N, Caers J, Ludwig
H. The anti-mitotic agents PTC-028 and PTC596 display potent activity in preclinical models of multiple myeloma but challenge the role of BMI-1 as an essential
tumour gene. Br J Haematol. 2020 Sep;190(6):877-890.
27. Dey A, Xiong X, Crim A, Dwivedi SKD, Mustafi SB, Mukherjee P, et al. Evaluating
the mechanism and therapeutic potential of PTC-028, a novel inhibitor of BMI-1
function in ovarian cancer. Mol Cancer Ther. 2018;17:39-49.
28. Buechel M, Dey A, Dwivedi SKD, Crim A, Ding K, Zhang R, Mukherjee P, Moore
KN, Cao L, Branstrom A, Weetall M, Baird J, Bhattacharya R. Inhibition of BMI1, a
therapeutic approach in endometrial cancer. Mol Cancer Ther. 2018;17:2136-43.
38
29. Bakhshinyan D, Venugopal C, Adile AA, Garg N, Manoranjan B, Hallett R, Wang X,
Mahendram S, Vora P, Vijayakumar T, Subapanditha M, Singh M, Kameda-Smith
MM, Qazi M, McFarlane N, Mann A, Ajani OA, Yarascavitch B, Ramaswamy V,
Farooq H, Morrissy S, Cao L, Sydorenko N, Baiazitov R, Du W, Sheedy J, Weetall
M, Moon YC, Lee CS, Kwiecien JM, Delaney KH, Doble B, Cho YJ, Mitra S, Kaplan
D, Taylor MD, Davis TW, Singh SK. BMI1 is a therapeutic target in recurrent
medulloblastoma. Oncogene. 2019;38:1702-16.
30. Yanagihara K, Takigahira M, Takeshita F, Komatsu T, Nishio K, Hasegawa F, Ochiya
T. A photon counting technique for quantitatively evaluating progression of peritoneal
tumor dissemination. Cancer Res. 2006;66(15):7532-7539.
31. Drexler HG, Dirks WG, Macleod RA. Many are called MDS cell lines: one is chosen.
Leuk Res. 2009;33(8):1011-1016.
32. Matsuoka A, Tochigi A, Kishimoto M, Nakahara T, Kondo T, Tsujioka T, Tasaka T,
Tohyama Y, Tohyama K. Lenalidomide induces cell death in an MDS-derived cell
line with deletion of chromosome 5q by inhibition of cytokinesis. Leukemia.
2010;24(4):748-755.
33. Tohyama K, Tsutani H, Ueda T, Nakamura T, Yoshida Y. Establishment and
characterization of a novel myeloid cell line from the bone marrow of a patient with
the myelodysplastic syndrome. Br J Haematol. 1994;87(2):235-242.
39
34. Kida JI, Tsujioka T, Suemori SI, Okamoto S, Sakakibara K, Takahata T, Yamauchi T,
Kitanaka A, Tohyama Y, Tohyama K. An MDS-derived cell line and a series of its
sublines serve as an in vitro model for the leukemic evolution of MDS. Leukemia.
2018;32(8):1846-1850.
35. Chou TC. Drug combination studies and their synergy quantification using the ChouTalalay method. Cancer Res. 2010;70(2):440-446.
36. Iwano S, Sugiyama M, Hama H, Watakabe A, Hasegawa N, Kuchimaru T, Kuchimaru
T, Tanaka KZ, Takahashi M, Ishida Y, Hata J, Shimozono S, Namiki K, Fukano T,
Kiyama M, Okano H, Kizaka-Kondoh S, McHugh TJ, Yamamori T, Hioki H, Maki S,
Miyawaki A. Single-cell bioluminescence imaging of deep tissue in freely moving
animals. Science. 2018;359(6378):935-939.
37. Ito R, Takahashi T, Katano I, Kawai K, Kamisako T, Ogura T, Ida-Tanaka M, Suemizu
H, Nunomura S, Ra C, Mori A, Aiso S, Ito M. Establishment of a human allergy model
using human IL-3/GM-CSF-transgenic NOG mice. J Immunol. 2013;191(6):28902899.
38. Punganuru SR, Madala HR, Mikelis CM, Dixit A, Arutla V, Srivenugopal KS.
Conception, synthesis, and characterization of a rofecoxib-combretastatin hybrid drug
with potent cyclooxygenase-2 (COX-2) inhibiting and microtubule disrupting
activities in colon cancer cell culture and xenograft models. Oncotarget 2018 May
40
25;9(40):26109-26129.
39. Rowinsky, E. K. & R. C. Donehower. Paclitaxel (taxol). N Engl J Med
1995;332:1004-14
40. Nakagawa T, Saitoh S, Imoto S, Itoh M, Tsutsumi M, Hikiji K, Nakao Y, Fujita T.
Loss of multiple point mutations of RAS genes associated with acquisition of
chromosomal abnormalities during disease progression in myelodysplastic syndrome.
Br J Haematol. 1991;77(2):250-252.
41. Kitamura T, Tange T, Terasawa T, Chiba S, Kuwaki T, Miyagawa K, Piao YF,
Miyazono K, Urabe A, Takaku F. Establishment and characterization of a unique
human cell line that proliferates dependently on GM-CSF, IL-3, or erythropoietin. J
Cell Physiol. 1989;140(2):323-334.
42. Matsuo Y, MacLeod RA, Uphoff CC, Drexler HG, Nishizaki C, Katayama Y, Kimura
G, Fujii N, Omoto E, Harada M, Orita K. Two acute monocytic leukemia (AML-M5a)
cell lines (MOLM-13 and MOLM-14) with interclonal phenotypic heterogeneity
showing MLL-AF9 fusion resulting from an occult chromosome insertion,
ins(11;9)(q23;p22p23). Leukemia. 1997;11(9):1469-1477.
43. Maimaitili Y, Inase A, Miyata Y, Kitao A, Mizutani Y, Kakiuchi S, Shimono Y, Saito
Y, Sonoki T, Minami H, Matsuoka H.. An mTORC1/2 kinase inhibitor enhances the
cytotoxicity of gemtuzumab ozogamicin by activation of lysosomal function. Leuk
41
Res. 2018;74:68-74.
44. Gururaja TL, Goff D, Kinoshita T, Goldstein E, Yung S, McLaughlin J, Pali E, Huang
J, Singh R, Daniel-Issakani S, Hitoshi Y, Cooper RD, Payan DG. R-253 disrupts
microtubule networks in multiple tumor cell lines. Clin Cancer Res. 2006 Jun
15;12(12):3831-42.
45. Thomas E, Gopalakrishnan V, Hegde M, Kumar S, Karki SS, Raghavan SC,
Choudhary B. A novel resveratrol based tubulin inhibitor induces mitotic arrest and
activates apoptosis in cancer cells. Sci Rep. 2016;6:34653.
46. Lee CH, Lin YF, Chen YC, Wong SM, Juan SH, Huang HM. MPT0B169 and
MPT0B002, New Tubulin Inhibitors, Induce Growth Inhibition, G2/M Cell Cycle
Arrest, and Apoptosis in Human Colorectal Cancer Cells. Pharmacology. 2018;102(56):262
47. Jackman RW, Rhoads MG, Cornwell E, Kandarian SC. Microtubule-mediated NFkappaB activation in the TNF-alpha signaling pathway. Exp Cell Res.
2009;315(19):3242-3249.
48. Zeng QZ, Yang F, Li CG, Xu LH, He XH, Mai FY, Zeng CY, Zhang CC, Zha QB,
Ouyang DY. Paclitaxel enhances the innate immunity by promoting NLRP3
inflammasome activation in macrophages. Front Immunol. 2019;10:72.
42
49. Mihara K, Chowdhury M, Nakaju N, Hidani S, Ihara A, Hyodo H, Yasunaga S,
Takihara Y, Kimura A. Bmi-1 is useful as a novel molecular marker for predicting
progression of myelodysplastic syndrome and patient
prognosis. Blood.
2006;107(1):305-8
50. Harada Y, Harada H. Molecular pathways mediating MDS/AML with focus on
AML1/RUNX1 point mutations. J Cell Physiol. 2009;220(1):16-20
51. Voncken JW, Schweizer D, Aagaard L, Sattler L, Jantsch MF, van Lohuizen M.
Chromatin-association of the Polycomb group protein BMI1 is cell cycle-regulated
and correlates with its phosphorylation status. J Cell Sci. 1999;112 (Pt 24):4627-39
52. Taga T, Shimomura Y, Horikoshi Y, Ogawa A, Itoh M, Okada M, Continuous and
high-dose cytarabine combined chemotherapy in children with down syndrome and
acute myeloid leukemia: Report from the Japanese children's cancer and leukemia
study group (JCCLSG) AML 9805 down study. Pediatr Blood Cancer. 2011 Jul
15;57(1):36-40
53. Pavel Davidovich, Conor J Kearney, Seamus J Martin. Inflammatory Outcomes of
Apoptosis, Necrosis and Necroptosis. Biol Chem. 2014;395(10):1163-71.
54. Yong Yang, Gening Jiang, Peng Zhang, Jie Fan. Programmed Cell Death and Its Role
in Inflammation. Mil Med Res. 2015;2:12.
43
55. Jung YJ, Isaacs JS, Lee S, Trepel J, Neckers L. Microtubule disruption utilizes an
NFkappa B-dependent pathway to stabilize HIF-1alpha protein. J Biol Chem.
2003;278(9):7445-52.
56. Kumuda C. Das, Carl W. White. Activation of NF-κB by antineoplastic agents. J Biol
Chem. 1997;272:14914-14920.
44
Figure 1 The process of clone evolution from normal stem cell to AML via MDS. Normal
hematopoiesis is disrupted in MDS state before leukemogenesis.
45
Vincristine
Paclitaxel
Figure 2 Chemical structure of clinically used microtubule inhibitors (Vincristine &
Paclitaxel)
46
Figure 3 Chemical structure of PTC-028 and PTC596.
47
Figure 4 Distribution of tubulin in polymerized (P) vs. soluble (S) fractions analyzed by
immunoblotting in PTC-028-treated MDS-L cells. MDS-L cells were treated with 3 and
5 μM of PTC-028 and 1 μM paclitaxel for 4 hours. The fractions containing soluble and
polymerized tubulin were collected and separated by SDS-PAGE. The α-tubulin antibody
was used to detect tubulin by Western blotting. Band intensity was calculated using Image
lab (Bio-Rad) and was shown as means ± S.D. (n=3). *P<0.05, ***P<0.001 by the
Student’s t-test.
48
Figure 5 Growth of MDS-L and SKM-1 MDS cells and HL-60 and THP-1 AML cells
treated with the indicated concentrations of PTC-028. The numbers of viable cells on
days 3 and 6. Data are shown as means ± S.D. (n=3). *P<0.05, **P<0.01, ***P<0.001 by
the Student’s t-test.
49
Figure 6 CC50 of MDS and AML cell lines. Cells lines were treated with the indicated
concentrations of PTC-028 for 3 days in triplicate (left panels). CC50 was defined as the
concentration required to reduce cell viability by 50% and is presented in the right panel.
Cell viability was assessed by MTS assays.
50
Figure 7 Growth of primary MDS cells treated with PTC-028. CD34+ MDS cells were
cultured in the presence of SCF, TPO, IL-3, GM-CSF, and FLT3 ligand in the presence
of the indicated doses of PTC-028. Cell growth was examined by MTS assays after 48
hours in culture (left panel) or viable cells were counted on days 3 and 6 (right panel).
Data are shown as means ± S.D. (n=3). *P<0.05, **P<0.01, ***P<0.001 by the Student’s
t-test.
51
Figure 8 Caspase-Glo 3/7 values 3 days after the treatment with PTC-028. MDS cells
were treated with PTC-028 at the indicated doses in triplicate. An equal volume of
Caspase-Glo 3/7 agent was added to samples before recording luminescence. *P<0.05,
**P<0.01, ***P<0.001 by the Student’s t-test.
52
Figure 9 MTS assays showing the viability of MDS-L and SKM-1 cells treated with the
indicated doses of PTC-028 and decitabine (DAC) or azacitidine (AZA) relative to the
untreated control. Data are shown as means ± S.D. (n=3). Fa-CI plots are shown in the
lower panel of each graph. CI, combination index. Fa (fraction affected) indicates the
fraction of cells affected by the drug.
53
Figure 10 Apoptosis induced by PTC028 and/or DNA hypomethylating agents. MDS-L
cells were treated with PTC-028 and/or DNA hypomethylating agents (DAC or AZA) for
72 hours, stained with Annexin V and PI, and then analyzed by flow cytometry. Results
are shown as means ± S.D. (n=3). *P<0.05, **P<0.01, ***P<0.001 by the Student’s ttest.
54
Figure 11 Growth inhibition of MDS-L cells by PTC596. Growth curve of MDS-L cells
treated with the indicated concentrations of PTC596 (left panel) and CC50 of PTC596 in
MDS-L cells (right panel). Cells were treated with the indicated concentrations of
PTC596 for 3 days in triplicate to evaluate CC50.
55
Figure 12 MTS assays showing the viability of MDS-L treated with the indicated doses
of PTC596 and DAC relative to the untreated control (left panel) and a Fa-CI plot (right
panel)
56
Figure 13 CC50 of microtubule-destabilizing agents in MDS and AML cells. Cell lines
were treated with the indicated agents for 3 days in triplicate. Data are shown as means ±
S.D. (n=3).
57
Figure 14 Cell cycle arrest induced by PTC-028. MDS-L and SKM-1 were exposed to
PTC-028 for 72 hours at 40 and 80 nM, respectively. BrdU was added to the culture 4
hours before the analysis. Representative contour plots of BrdU incorporation (y axis)
versus DNA content assessed by 7-AAD staining (x axis) are shown in the left panels.
The proportion of cells at the indicated phase of the cell cycle is shown as means ± S.D.
(n=3) in the right panels. **P<0.01, ***P<0.001 by the Student’s t-test.
58
PTC-028
Gene Expression up
MDS-L
139
24
SKM-1
380
PTC-028
Gene Expression Down
MDS-L
33
SKM-1
76
Figure 15 Venn diagram showing the overlap of up-regulated (≥1.5-fold) or down- (≤
0.66-fold) genes between MDS-L and SKM-1 cells treated with PTC-028 relative to the
DMSO control.
59
Figure 16 Summary of the gene set enrichment in MDS-L and SKM-1 cells treated with
PTC-028 relative to non-treated cells in GSEA using RNA-seq data. MDS-L and SKM-1
cells were cultured in the presence of PTC-028 (MDS-L 30nM; SKM-1 40nM) for 72
hours. Representative GSEA plots are shown in the right panelspanels. Normalized
enrichment scores (NES), nominal p values (NOM), and false discovery rates (FDR) are
indicated.
60
Figure 17 Schematic representation of the xenograft MDS model using NOG IL-3/GMTG mice. NOG mice irradiated at a dose of 1.8 Gy were infused with 1×10 7 MDSL/Akaluc cells via the tail vein. On day 27 post-transplantation, recipient mice (n=5 in
each group) received vehicle and 12.5 mg/kg PTC-028 orally twice a week for 7 weeks.
61
Figure 18 The engraftment of MDS-L/Akaluc cells was confirmed by bioluminescence
imaging. Images of Akaluc signals in representative mice (3 mice each) are shown at
different time points during the treatment.
62
Figure 19 Quantification of photon counts from MDS-L/Akaluc cells in xenograft MDS
mice. Akaluc signals taken by a photon-counting analyzer. Data are shown as means ±
S.D. *P<0.05, **P<0.01, ***P<0.001 by the Student’s t-test.
63
Figure 20 Kaplan–Meier survival of mice. Survival was evaluated from the first day of
the treatment to death. The significance of differences between the PTC-028-treated and
vehicle-treated groups was assessed using a Log-rank test. *P<0.05, **P<0.01,
***P<0.001.
64
Figure 21 Schematic representation of the xenograft MDS model using NOG IL-3/GMTG mice. NOG mice irradiated at a dose of 1.8 Gy were infused with 1×107 MDSL/Akaluc cells via the tail vein. On day 33 post-transplantation, recipient mice (n=5 in
each group) received vehicle and 6.25 mg/kg PTC-028 orally twice a week. DAC was
administered at a dose of 0.3 mg/kg intraperitoneally 3 times per week.
65
Figure 22 The engraftment of MDS-L/Akaluc cells was confirmed by bioluminescence
imaging. Images of Akaluc signals in representative mice (4 mice each) are shown at
different time points during the treatment. Quantification of photon counts from MDSL/Akaluc cells in xenograft MDS mice. Akaluc signals taken by a photon-counting
analyzer. Data are shown as means ± S.D. **P<0.01, ***P<0.001 by the Student’s t-test.
66
Figure 23 Kaplan–Meier survival of mice. Survival was evaluated from the first day of
the treatment to death. **P<0.01, ***P<0.001 by the Log-rank test.
67
Figure 24 Body weight (BW) and hemoglobin (Hb) levels of mice. Data are shown as
means ± S.D. n.s., not significant by the Student’s t-test.
68
DMSO 48h
72h
96h
BMI-1
uH2A
H2A
B-actin
Figure 25 Level of BMI-1 and uH2A in MDS-L cells cultured in the presence of DMSO
and 40nM PTC-028 for 48h, 72h and 96h.
69
Figure 26. Apoptosis induced by PTC-028.The indicated cells were treated with PTC028 for 72 hours, stained with Annexin V and PI, and then analyzed by flow cytometry.
Results are shown as means ± S.D. (n=3). **P<0.01, ***P<0.001.
70
Table 1 Human MDS bone marrow samples.
71
Table 2 Upregulation of Signaling Pathway Induced by PTC-028 in MDS-L Cells
NAME
ES
NES
NOM p-val
FDR q-val
HALLMARK_TNFA_SIGNALING_VIA_NFKB
0.6108075
1.879353
HALLMARK_COAGULATION
0.5875037
1.7655075
0.002344156
HALLMARK_ALLOGRAFT_REJECTION
0.5704975
1.7577232
0.00187901
HALLMARK_P53_PATHWAY
0.54956275
1.7134482
0.00262637
HALLMARK_APOPTOSIS
0.54781187
1.6755384
0.004013803
0.5385772
1.6667895
0.003868514
HALLMARK_INFLAMMATORY_RESPONSE
0.52368957
1.6260667
0.005695151
HALLMARK_IL6_JAK_STAT3_SIGNALING
0.55716753
1.579828
0.0013947
0.008902214
HALLMARK_INTERFERON_ALPHA_RESPONSE
0.55188423
1.5787069
0.008018492
0.5004975
1.5488061
0.009927
0.48502183
1.5044812
0.001242236
0.016797332
HALLMARK_ANGIOGENESIS
0.5948357
1.4922953
0.033383913
0.01766459
HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION
0.4732653
1.4622483
0.002528445
0.022271285
HALLMARK_UV_RESPONSE_DN
0.47187793
1.4172851
0.007692308
0.03291526
HALLMARK_BILE_ACID_METABOLISM
0.47735313
1.3960559
0.01899593
0.03932956
HALLMARK_COMPLEMENT
0.44702625
1.3827937
0.003911343
0.04317236
HALLMARK_ESTROGEN_RESPONSE_EARLY
0.42592376
1.3226221
0.011494253
0.080089346
0.410993
1.2768729
0.043209877
0.124076076
HALLMARK_INTERFERON_GAMMA_RESPONSE
HALLMARK_HEME_METABOLISM
HALLMARK_IL2_STAT5_SIGNALING
HALLMARK_KRAS_SIGNALING_UP
72
Table 3 Downregulation of Signaling Pathway Induced by PTC-028 in MDS-L Cells
NAME
ES
NES
NOM p-val
FDR q-val
HALLMARK_MYC_TARGETS_V1
-0.5312721
-1.8584391
0.004333333
HALLMARK_E2F_TARGETS
0.47660512
-1.6709709
0.005758667
HALLMARK_OXIDATIVE_PHOSPHORYLATION
-0.4207183
-1.5008153
0.029381553
73
Table 4 Upregulation of Signaling Pathway Induced by PTC-028 in SKM-1 Cells
NAME
ES
HALLMARK_TNFA_SIGNALING_VIA_NFKB
NES
NOM p-val
FDR q-val
0.6467109
2.1331067
HALLMARK_P53_PATHWAY
0.58609194
1.9506716
HALLMARK_APICAL_JUNCTION
0.58014596
1.9302019
HALLMARK_INFLAMMATORY_RESPONSE
0.55264056
1.8320497
2.87E-04
0.5546269
1.7967594
2.29E-04
HALLMARK_COAGULATION
0.55692613
1.7888622
1.91E-04
HALLMARK_MYOGENESIS
0.5327498
1.7650108
1.64E-04
HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION
0.5172625
1.7131113
5.57E-04
HALLMARK_TGF_BETA_SIGNALING
0.5863241
1.6650617
0.002022102
HALLMARK_IL6_JAK_STAT3_SIGNALING
0.5481379
1.661659
0.001819892
0.49732518
1.6503032
0.002014123
0.6159639
1.5805967
0.014059754
0.005915025
0.47112146
1.5666751
0.00652423
0.6000284
1.5502645
0.014876033
0.00710283
HALLMARK_UV_RESPONSE_UP
0.47220153
1.522929
0.008662837
HALLMARK_IL2_STAT5_SIGNALING
0.45630616
1.5213256
0.008390245
HALLMARK_KRAS_SIGNALING_UP
0.45659617
1.5073739
0.001416431
0.009566529
0.4333904
1.4450694
0.017967768
HALLMARK_INTERFERON_GAMMA_RESPONSE
0.43104485
1.4400431
0.001369863
0.018887723
HALLMARK_COMPLEMENT
0.43133524
1.4359385
0.005479452
0.018809563
0.5228781
1.4232961
0.031045752
0.021028811
HALLMARK_APOPTOSIS
HALLMARK_HYPOXIA
HALLMARK_NOTCH_SIGNALING
HALLMARK_ALLOGRAFT_REJECTION
HALLMARK_ANGIOGENESIS
HALLMARK_XENOBIOTIC_METABOLISM
HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY
74
Table 5 Downregulation of Signaling Pathway Induced by PTC-028 in SKM-1 Cells
NAME
ES
NES
HALLMARK_MYC_TARGETS_V1
0.53554523
-1.9443746
HALLMARK_E2F_TARGETS
0.42601994
-1.5342134
0.022642275
HALLMARK_PROTEIN_SECRETION
0.46719083
-1.5294216
0.002890173
0.01509485
HALLMARK_ANDROGEN_RESPONSE
0.40367532
-1.3367312
0.017045455
0.07223807
75
NOM p-val
FDR q-val
...