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A SILICA VIEW OF
PANOBINOSTAT’S EFFECT ON
LEUKEMIA
Ying Liu & Xuan Zhu
Final Project: Computational Methods in
Health Informatics (HINF 5008)
July, 2014
LEUKEMIA
•  Cancer of the blood cells
•  Bone marrow makes abnormal
white blood cells
•  Leukemia cells divide continuously
•  Most common cancer in children;
more often in old adults
Four main types of leukemia
•  Acute myelocytic leukemia – AML
•  Acute lymphocytic leukemia – ALL
•  Chronic myelocytic leukemia – CML
•  Chronic lymphocytic leukemia – CLL
PANOBINOSTAT (LBH589)
•  Developed by Novartis for the
treatment of various cancers
•  A non-selective histone
deacetylase inhibitor (HDAC
inhibitor)
•  Clinical trials:
•  Myelofibrosis (exploratory)
•  AML (I/II)
•  MDS (I/II)
•  multiple myeloma (III)
•  AIDS (I/II)
DeWoskin VA & Million RP,2013
RESEARCH AIMS
To evaluate the effect of panobinostat on ALL
and AML by gene expression profile analysis
DATASETS
•  Downloaded from Gene Expression Omnibus (GEO) database
•  Microarray data from Affymetrix Human Gene 1.0 ST Array
platform (32,321 probes)
Accession
number
Citation Number of
records
Brief description
GSE26790 Vilas-Zornoza A, et
al. Leukemia 2012.
12 Gene expression profiles
before and after
panobinostat treatment
in ALL cells
GSE48558 Cramer-Morales K,
et al. Blood 2013.
170 Gene expression profiles
in AML and ALL patient
and cell-line samples
METHODS
  Microarray pre-processing: 32,321 probes
affy: Robust Multi-array Average (RMA)
  Filter: 13,259 probes
Remove probes (1) IQR < 1/5 global IQR; (2) ANOVA
  Select differential expression probes
limma: moderated t-statistic (Patient – Normal; Treat – No Treat)
adj.P.Val < 0.05 & |logFC| > 1
OPPOSITE GENE EXPRESSION CHANGE
IN PATIENT AND DRUG TREATMENT
  Selected probes
Patient (GSE48558): 5061/13259 probes
  Heatmap
logFC: fold expression change (log2)
Panobinostat (GSE26790)
Patient AML (18) B-ALL (27) T-ALL (13)
Normal Monocyte (6) B cell (11) T cell (17)
Signature 2612 2300 2440
Treat B-ALL (3) T-ALL (3)
No Treat B-ALL (3) T-ALL (3)
AML B-ALL T-ALL
Patient
B-ALL T-ALL
Panobinostat
logFC
2
-2
METHODS
  Microarray pre-processing: 32,321 probes
affy: Robust Multi-array Average (RMA)
  Filter: 13,259 probes
Remove probes (1) IQR < 1/5 global IQR; (2) ANOVA
  Select differential expression probes
limma: moderated t-statistic (Patient – Normal; Treat – No Treat)
adj.P.Val < 0.05 & |logFC| > 1
  Drug effect estimated by sum of logFC
Probe Patient Drug Drug Effect
A 5 -4 1
B -3 2 -1
B-ALL T-ALL
Panobinostat
B-ALL T-ALL
AML
BALLp TALLp
AMLp.B 0
631
431
59
372
94
66
21
AML B-ALL T-ALL
Patient
Probes with reverse expression in panobinostat
treatment
Tumor (Leukemia) Inducer
ZAK (8046461)
ETV6/TEL (7953981)
RUNX1 (8070194)
PLK1 (7994109)
MYB (8122202)
ZNF367 (8162601)
CDK4 (7964522)
A B T B T
Patient Drug
CBX7 (8076185)
NR4A2 (8055952)
Tumor Suppressor
A B T B T
Patient Drug
PANOBINOSTAT EFFECT ON LEUKEMIA
SIGNATURE GENE EXPRESSION
logFC
2
-2
1050510
FoldExpressionChange(log2)
PANOBINOSTAT CORRECT ABNORMAL GENE
EXPRESSION IN DIFFERENT TYPES OF LEUKEMIA
AML
Patient
B-ALL
Patient
T-ALL
Patient
Median 1.10 0.58 -1.01 0.03 1.16 1.06
SD 1.80 1.73 1.98 2.01 1.74 1.78
1050510
FoldExpressionChange(log2)
1050510
Patient
+ Pan
Patient
+ Pan
Patient
+ Pan
Patient Patient Patient
p-value=0.095p-value=0.024p-value=1.22e-14
ANTI-LEUKEMIC EFFECT OF PANOBINOSTAT IN A
MOUSE MODEL OF HUMAN ALL
Vilas-Zornoza A, Pro´sper F, Leukemia (2012)
B-ALL
T-ALL
CONCLUSION AND FUTURE DIRECTION
  Panobinostat partially reversed gene expression
change in leukemia
  Identification of genes potentially regulated by
panobinostat
  Applications:
•  Study molecular mechanisms of panobinostat
•  Predict diseases that may be treated by
panobinostat
  Develop a systematic quantitative approach

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Predict the therapeutic effect of HDAC inhibitor panobinostat on leukemia by global gene expression analysis

  • 1. A SILICA VIEW OF PANOBINOSTAT’S EFFECT ON LEUKEMIA Ying Liu & Xuan Zhu Final Project: Computational Methods in Health Informatics (HINF 5008) July, 2014
  • 2. LEUKEMIA •  Cancer of the blood cells •  Bone marrow makes abnormal white blood cells •  Leukemia cells divide continuously •  Most common cancer in children; more often in old adults Four main types of leukemia •  Acute myelocytic leukemia – AML •  Acute lymphocytic leukemia – ALL •  Chronic myelocytic leukemia – CML •  Chronic lymphocytic leukemia – CLL
  • 3. PANOBINOSTAT (LBH589) •  Developed by Novartis for the treatment of various cancers •  A non-selective histone deacetylase inhibitor (HDAC inhibitor) •  Clinical trials: •  Myelofibrosis (exploratory) •  AML (I/II) •  MDS (I/II) •  multiple myeloma (III) •  AIDS (I/II) DeWoskin VA & Million RP,2013
  • 4. RESEARCH AIMS To evaluate the effect of panobinostat on ALL and AML by gene expression profile analysis
  • 5. DATASETS •  Downloaded from Gene Expression Omnibus (GEO) database •  Microarray data from Affymetrix Human Gene 1.0 ST Array platform (32,321 probes) Accession number Citation Number of records Brief description GSE26790 Vilas-Zornoza A, et al. Leukemia 2012. 12 Gene expression profiles before and after panobinostat treatment in ALL cells GSE48558 Cramer-Morales K, et al. Blood 2013. 170 Gene expression profiles in AML and ALL patient and cell-line samples
  • 6. METHODS   Microarray pre-processing: 32,321 probes affy: Robust Multi-array Average (RMA)   Filter: 13,259 probes Remove probes (1) IQR < 1/5 global IQR; (2) ANOVA   Select differential expression probes limma: moderated t-statistic (Patient – Normal; Treat – No Treat) adj.P.Val < 0.05 & |logFC| > 1
  • 7. OPPOSITE GENE EXPRESSION CHANGE IN PATIENT AND DRUG TREATMENT   Selected probes Patient (GSE48558): 5061/13259 probes   Heatmap logFC: fold expression change (log2) Panobinostat (GSE26790) Patient AML (18) B-ALL (27) T-ALL (13) Normal Monocyte (6) B cell (11) T cell (17) Signature 2612 2300 2440 Treat B-ALL (3) T-ALL (3) No Treat B-ALL (3) T-ALL (3) AML B-ALL T-ALL Patient B-ALL T-ALL Panobinostat logFC 2 -2
  • 8. METHODS   Microarray pre-processing: 32,321 probes affy: Robust Multi-array Average (RMA)   Filter: 13,259 probes Remove probes (1) IQR < 1/5 global IQR; (2) ANOVA   Select differential expression probes limma: moderated t-statistic (Patient – Normal; Treat – No Treat) adj.P.Val < 0.05 & |logFC| > 1   Drug effect estimated by sum of logFC Probe Patient Drug Drug Effect A 5 -4 1 B -3 2 -1
  • 9. B-ALL T-ALL Panobinostat B-ALL T-ALL AML BALLp TALLp AMLp.B 0 631 431 59 372 94 66 21 AML B-ALL T-ALL Patient Probes with reverse expression in panobinostat treatment Tumor (Leukemia) Inducer ZAK (8046461) ETV6/TEL (7953981) RUNX1 (8070194) PLK1 (7994109) MYB (8122202) ZNF367 (8162601) CDK4 (7964522) A B T B T Patient Drug CBX7 (8076185) NR4A2 (8055952) Tumor Suppressor A B T B T Patient Drug PANOBINOSTAT EFFECT ON LEUKEMIA SIGNATURE GENE EXPRESSION logFC 2 -2
  • 10. 1050510 FoldExpressionChange(log2) PANOBINOSTAT CORRECT ABNORMAL GENE EXPRESSION IN DIFFERENT TYPES OF LEUKEMIA AML Patient B-ALL Patient T-ALL Patient Median 1.10 0.58 -1.01 0.03 1.16 1.06 SD 1.80 1.73 1.98 2.01 1.74 1.78 1050510 FoldExpressionChange(log2) 1050510 Patient + Pan Patient + Pan Patient + Pan Patient Patient Patient p-value=0.095p-value=0.024p-value=1.22e-14
  • 11. ANTI-LEUKEMIC EFFECT OF PANOBINOSTAT IN A MOUSE MODEL OF HUMAN ALL Vilas-Zornoza A, Pro´sper F, Leukemia (2012) B-ALL T-ALL
  • 12. CONCLUSION AND FUTURE DIRECTION   Panobinostat partially reversed gene expression change in leukemia   Identification of genes potentially regulated by panobinostat   Applications: •  Study molecular mechanisms of panobinostat •  Predict diseases that may be treated by panobinostat   Develop a systematic quantitative approach