Cell Systems, Volume 6
Supplemental Information
The Genomic Landscape and Pharmacogenomic
Interactions of Clock Genes
in Cancer Chronotherapy
Youqiong Ye, Yu Xiang, Fatma Muge Ozguc, Yoonjin Kim, Chun-Jie Liu, Peter K.Park, Qingsong Hu, Lixia Diao, Yanyan Lou, Chunru Lin, An-YuanGuo, Bingying Zhou, LiWang, Zheng Chen, Joseph S. Takahashi, Gordon B. Mills, Seung-Hee Yoo, and Leng Han
Gene Expression
T/N pairs
Transcriptional dysregulation (Fig.1)
Tumor samplesDisruption of circadi-an rhythm (Fig. 4)
Time points RNAseq data of MCF7 & MCF10A
genes with circadian oscillationNumber of genes correlated with clock genes (T-N)
|log2(T/N Expression)| > 0.58 & FDR < 0.05
RPPA Pathway score
Groups with low or high expression of clock genes
Effects of clock genes on signaling pathways (Fig. 2)
Clinical Data:patient survival, tumor subtypes and stages
Interaction between clock genes and CAGs (Fig.6)
Protein-protein interaction dataChIP-seq data
MutationDNA methylation
Genetic alteration of clock genes (Fig. 3)
Gene expression in CCLEPharmacogenomic data (CTRP)
Time points RNAseq data of CRY2 KD or WT in MEF cells
Therapeutic liability of clock genes (Fig. 7)
Correlation between drug sensitivity and expression of clock genes
TCG
A da
ta: c
linic
al a
nd m
olec
ular
sig
natu
res
in 3
2 ca
ncer
type
s
Raw data | Data produced intermediate stepsResults
Clinical relevance of clock genes (Fig. 5)
GDSC gene expression &Pharmacogenomic data
Figure S1. Related to STAR Methods.The pipeline of bioinformatics analysis procedures and data used for each part of the analysis. Clinically actionable genes (CAGs), The Cancer Genome Atlas (TCGA), Reverse Phase Protein Array (RPPA), The Cancer Cell Line Encyclopedia (CCLE), Genomic of Drug Sensitivity in Cancer (GDSC), Cancer Therapeutics Response Portal (CTRP), Tumor (T), Normal (N), Knock Down (KD), Wild Type (WT), False discovery rate (FDR). The abbreviation for cancer types is listed in table S1.
ACC
BLCA
BRCA
CESC
CHOL
COAD
DLB
CESCA
GBM
HNSC
KICH
KIRC
KIRP
LGG
LIHC
LUAD
LUSC
MESO
OV
PAAD
PCPG
PRAD
READ
SARC
SKCM
STAD
TGCT
THCA
THYM
UCE
C
UCS
UVM
A
B
Activation Inhibition None
β
β
β
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RORCRORBRORA
CRY2
β
β
β
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β β β β
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RORA & RORC RORB & RORCRORA & RORB
RORA & RORB & RORC
BLC
ABR
CA
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CC
OAD
ESC
AH
NSC
KIR
CKI
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LGG
LIH
CLU
ADLU
SCM
ESO OV
PAAD
PCPG
PRAD
REA
DSA
RC
SKC
MST
ADTG
CT
THC
ATH
YMU
CEC
ApoptosisCell Cycle
DNA Damage ResponseEMT
Hormone aHormone b
PI3K/AKTRAS/MAPK
RTKTSC/mTOR
ApoptosisCell Cycle
DNA Damage ResponseEMT
Hormone aHormone b
PI3K/AKTRAS/MAPK
RTKTSC/mTOR
ApoptosisCell Cycle
DNA Damage ResponseEMT
Hormone aHormone b
PI3K/AKTRAS/MAPK
RTKTSC/mTOR
BLC
ABR
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CES
CC
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ESC
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LGG
LIH
CLU
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SCM
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PCPG
PRAD
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CT
THC
ATH
YMU
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CC
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AH
NSC
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CKI
RP
LGG
LIH
CLU
ADLU
SCM
ESO OV
PAAD
PCPG
PRAD
REA
DSA
RC
SKC
MST
ADTG
CT
THC
ATH
YMU
CEC
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CRY1 & CRY2
β
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β β
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β
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β
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β
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β
β
β
β
β
β
β
β
CRY1
ApoptosisCell Cycle
DNA Damage ResponseEMT
Hormone aHormone b
PI3K/AKTRAS/MAPK
RTKTSC/mTOR
βlog10(FDR)
β β β
0.05
0.01
1eβ4
β1.0
β0.5
0.0
0.5
1.0
Difference
0 1000 2000
0.0
0.2
0.4
0.6
0.8
1.0
ESCA β RORA & RORC
Survival in days
HighLow
p = 0.043
0 2000 4000 6000
0.0
0.2
0.4
0.6
0.8
1.0
HNSC β RORA & RORC
Survival in days
HighLow
p = 0.044
0 1000 2000 3000
0.0
0.2
0.4
0.6
0.8
1.0
KIRC β RORA & RORC
Survival in days
HighLow
p = 4eβ08
0 1000 2000 3000
0.0
0.2
0.4
0.6
0.8
1.0
LIHC β RORA & RORC
Survival in days
HighLow
p = 0.029
C
Surv
ival
rate
Surv
ival
rate
Surv
ival
rate
Surv
ival
rate
AHR
ALAS
1
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E40
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E41
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CR
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CR
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K2A2
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NO
NR
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WD
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Apoptosis
Cell Cycle
DNA Damage Response
EMT
Hormone a
Hormone b
PI3K/AKT
RAS/MAPK
RTK
TSC/mTOR
Figure S2. Related to Figure 2. Clock genes associated with the activity of key signaling pathways. (A) Percentage of cancer types with 37 clock genes associated with the activation (red) or inhibition (blue) of key signaling pathways. (B) The difference of pathway scores in key signaling pathways between tumor samples with low expression and high expression of individual or paralog clock genes of CRY1/2, and RORA/B/C. The colors and size of point represent the difference and statistical significance (FDR) of protein-expression pathway scores. (C) Survival analysis for combination of RORA and RORC in ESCA, HNSC, KIRC and LIHC (blue: low expression in both genes; red: high expression in both genes).
A
Neg
ativ
e
Spe
arm
an C
orre
latio
n C
oeffi
cien
t
B
Posi
tive
BLC
APA
ADU
VMPC
PG LGG
MES
OTH
CA
SKC
MSA
RC
BRC
AKI
RP
PRAD
KIR
CAC
CKI
CH
CES
CST
ADES
CA
REA
DC
OAD
HN
SCLU
SCU
CEC
LUAD
LIH
CU
CS
GBM
THYM
TGC
T
TNFFBXL21BTRCTEFARNTL2HLFCSNK2BPARP1WDR5PER3PRKAA2PPARGBHLHE41SIRT1NR1D2CRY2NPAS2ARNTLNR1D1CSE1LCREB1NONOPPARABHLHE40EP300PPP5CCREBBPPRKCAALAS1RORBAHRGNB2L1CSNK2A1PPP1CARORCNR1I3PER1DBPPPP1CCCSNK2A2PER2GSK3B
Figure S3. Related to Figure 3. Epigenetic alterations in clock genes. (A) Correlation between promot-er DNA methylation levels and gene expression across clock genes. (B) Differential DNA methylation level of clock genes between paired tumor and normal samples. (Different beta-value > 0.2, FDR < 0.05, Red: up-regulation; blue: downregulation; size: p value)
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IFNA1NR1D1
CRY1ARNTLNFIL3
DBPPER1
TNFNONO
BHLHE40PER2
FBXL21TEF
NR1D2NR1I3WDR5
CSNK1DCSNK2A1
AHRPER3
CLOCKALAS1
CSNK2A2PPP5C
CRY2PARP1NPAS2
PPP1CCCSNK2B
FBXL3SIRT1
ARNTL2RORB
CSE1LHLF
FBXW11RORA
BHLHE41CREB1
CSNK1EGSK3B
GNB2L1EP300PPARAPRKCARORC
CREBBPPPARG
BTRCPRKAA2PPP1CA
LIH
C
LUSC
PRAD
KIR
C
LUAD
THC
A
HN
SC
KIR
P
KIC
H
CO
AD
BLC
A
BRC
A
STAD
β5000 β2500 0 2500 5000
ARNTL
ARNTL2
CLOCK
CRY1
CRY2
NPAS2
NR1D1
NR1D2
PER1
PER2
PER3
RORA
RORB
RORC
ARNT
L
ARNT
L2
CLO
CK
CRY1
CRY2
NPAS
2
NR1D
1
NR1D
2
PER1
PER2
PER3
RORA
RORB
RORC
β0.8
β0.4
0.0
0.4
Cor
Coe
f
f.
β
β
β
β
β
β
β
β
β
ββ
β
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β
β
ββ
β
β
β
β
β
ββ
β
β
β
β
β
β
β
β
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β
β
β
β
β
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ββ β
β
β
β
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β
β
β
β
β
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β
βββ
β
β
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R = 0.079R = β0.47
β
β
β
β
β
β
β
β
β
ββ
β
β
β
β
β β
β
β
β
β
β
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β
β
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β
β
β
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β
β
β
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β
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β
β
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R = β0.28R = 0.46
β
β
β
β
β
β
β
β
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β
β
β
β
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β
β
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β
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β
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β
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β
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β
R = β0.056R = β0.7
β
β
β
β
β
β
β
β
β
ββ
β
β
β
β
ββ
β
β
β
β
β
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β
β
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β
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R = 0.38R = 0.58
β
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β
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β
β
β
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β
β
β
β
β β
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R = β0.05R = β0.54
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β
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R = 0.00054R = 0.32
β
β
β
β
β
β
β
β
β
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β
β
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β
ββ
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β
β
β
β
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R = 0.13R = 0.53
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PER2 PER3 RORB RORC
ARNTL ARNTL2 NPAS2 PER1
0 5 10 0 5 10 0 5 10 0 5 10
9
10
11
12
9
10
11
12
Gene Expression
CRY
2 G
ene
Expr
essi
on
β βNormal Tumor
A B
C
Number of positively correlated genes
0 4 8 12 16 20 24 280 4 8 12 16 20 24 28
CTCT
MCF10A MCF7
β2β1
01
2
Zβsc
ore
Collecting duct acid secretion
Wnt signaling pathway
Oxytocin signaling pathway
Vibrio cholerae infection
Epithelial cell signaling in Helicobacter pylori infection
TNF signaling pathway
Tollβlike receptor signaling pathway
0 0.5 1 1.5 2βlog10(p value)D
Figure S4. Related to Figure 4. Disruption and reprogramming of circadian rhythms in cancer. (A) The number of genes which positively correlated to clock genes (Pearson correlation coefficient β€ -0.5 and FDR < 0.05, number in cell) decreased (blue) or increased (red) in tumor samples compared to paired normal samples for each clock gene in each cancer type. Pearson correlation is corrected by tumor purity in cancer samples. (B) Heatmap presents pairwise Pearson correlation coefficient (R) of core clock genes in tumor (left upper panel) and normal (right bottom panel) samples in KIRP. Red and blue frames indicate the correlation between CRY2 and other core clock genes. (C) Correlation between the transcriptional expression of CRY2 and other eight core clock genes in tumor (red) and normal (blue) samples in KIRP cancer type. (D) Heatmaps displaying the circadian oscillation pattern of genes predicted by JTK_CYCLE and MetaCycle::meta2d (P < 0.05) in MCF7 (right), and displaying oscillation pattern of these genes in MCF10A (left) with same gene order of MCF7. Red, high expression; blue, low expression. X-axis displayed time points after serum shock. (E) Gene ontology analysis for genes with newly established circadian rhythm in MCF7.
E
9
10
11
12
I II III IVStages
Gen
e Ex
pres
sion
Subtypes
Gen
e Ex
pres
sion
KIRC-CRY2 (FDR = 3.9 x 10-36οΌ
A B
0 2000 4000 6000
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Figure S5 Related to Figure 5. Individual cases for clock genes associated with patient survival, stage and subtype. (A) Association between CRY2 expression and overall survival (blue: low expression; red: high expression). (B and C) CRY2 shows differential expression in different tumor stages (B) and sub-types (C) in KIRP. (D and E) Expression levels for clock genes significantly upregulated and downregulated in TNBC compared to three other subtypes of breast cancer, respectively.
Num
ber o
f CAG
s
Cor
rela
tion
pairs
Negative PositiveCB
NR1D1FBXL21PPP5CPRKCAWDR5IFNA1
CSNK1DCSNK2A2
PER3FBXL3PER2
CSE1LNR1I3
TEFCSNK2A1
CLOCKALAS1
CREBBPGNB2L1
NPAS2PPP1CC
HLFDBP
RORCNR1D2NONOEP300BTRCPER1
CSNK2BSIRT1
PRKAA2PPARA
FBXW11CRY2
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TNFR
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CD276
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ICOSLG
HAVCR2CD4
CXCR4 IL2CTL
A4IL1
AIC
OSTN
FSF4
CCL2 IL6TN
FRSF9
PDCD1LG2
CD274
β10 0 10 20
Experimental evidence for protein-protein interaction
ChIP-seq evidence for interaction
The number of cancer types
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0
50
100
150
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CHO
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VBL
CACE
SCBR
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STAD
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LIHC
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Figure S6. Related to Figure 6. Co-expression of clinically actionable genes and clock genes varied across cancer types. (A) Clock genes correlated to targeted genes for immunotherapy; blue: negative correlation; red: positive correlation; color scale: the number of cancer types with negative or positive correlation between clock genes and CAGs. If the number of cancer types is less than three, the fill color of cell is white. Bold boxes: protein-protein interactions from BioGRID and HPRD. X marks: ChIP-seq evidence for interaction. (B) Number of pairs of CAGs which correlated to clock genes across cancer types. (C) Number of correlation pairs between transcriptional expression of CAGs and clock genes across cancer type (blue: negative correlation; red: positive correlation). (D) The Pearson correlation between transcriptional expression of CLOCK and NR1D2 across 32 cancer types. The color inten-sity indicates the Pearson correlation coefficient (R), the point size indicates FDR. Black circles show the correlation with statistical significance (|R| > 0.3, FDR < 0.05).
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SNK2
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ount Positive Cor Negative CorGDSC
P
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β ββ β ββ ββ ββ β βββ ββ ββ βββ β ββ ββ ββ ββ ββ ββββ ββ βββ ββ βββ
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β ββ β ββ βββ βββ β βββ ββ β βββ ββ β ββ βββ β βββββ ββ ββ β βββ β ββ βββ β β ββ βββ β β ββ β βββββ ββ β ββββ β βββ ββ ββ β β ββββ βββββ ββ ββ ββ ββ β ββ β ββ ββββββ β β βββ β βββββ ββ ββ β βββ ββ β ββ ββ ββ ββ βββ ββ βββ βββ ββββ β ββ
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β ββ β β βββ ββ βββ β ββββ β ββββ β βββββ ββ β β β ββ β βββββ ββ β ββ ββ ββ β ββ βββ ββ ββββ β β ββ ββββ β ββ β ββββ ββ β βββ β βββ βββ β ββ ββ βββ β ββ
ββ β ββ ββ βββ β βββ ββ ββ ββ βββ β βββββ ββ ββ βββ ββ ββ ββ βββ β β ββ β βββββ ββ β ββββ β βββ ββ β β β ββ ββββ ββ ββ ββ ββ ββ β ββ ββββ β β βββββ ββ βββ β β ββ ββ β βββ β ββ βββ βββ β ββ
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β ββ β ββ βββ βββ β βββ ββ β βββ ββ β ββ βββ β βββββ ββ ββ β βββ β ββ β βββ β β ββ βββ β β ββ β βββββ ββ β ββββ β βββ ββ βββ β β ββββ βββββ ββ ββ ββ ββ β β β ββ ββββββ β β βββ β ββββ ββ ββ βββ ββ β βββ ββ ββ βββ ββ βββ βββ βββ β ββ
β ββ β β ββ ββ βββ βββ ββ β ββ β βββββ ββ ββββ ββ ββ ββ β ββββ ββ β βββ ββ ββ ββ β βββ βββ βββ βββ β ββ ββββ ββ βββ ββ β βββ β β ββββ ββββ ββ ββββ β ββ
ββ ββ ββ β ββ β β ββ β ββββ βββ β ββ β β ββ ββββ ββ ββ ββ ββ β ββ ββββ β ββββ β β ββ ββ β βββ β βββ ββββ
ββ ββ ββ ββββ ββ β ββββ β ββ ββ ββββ β β ββ β βββββ β βββ β ββ β βββ ββ βββ ββ β β βββ β βββ ββββ β β βββ β β βββ β ββ ββ ββ ββ
β βββ ββββ ββ ββ β βββ β ββ βββ ββ ββ
β ββ β ββ βββ βββ β βββ ββ β βββ ββ β ββ βββ β βββββ ββ ββ β βββ β ββ β βββ β β ββ βββ β β ββ β βββββ ββ β ββββ β βββ ββ βββ β β ββββ βββββ ββ ββ ββ ββ β β β ββ ββββββ β β βββ β βββββ ββ ββ β βββ ββ β ββ ββ ββ ββ βββ ββ βββ βββ ββββ β ββ
ββ ββ βββ ββ β βββββ ββ βββ βββ ββββ βββ ββ β ββ ββ ββ β ββ ββββ β βββ β β β β βββ β βββββ
β ββ β βββ βββ β ββ βββ β β ββ βββββ ββ ββ ββ ββ β ββ β ββ βββ ββ β βββββ β β ββββ βββ β ββ β ββ ββ ββ βββ ββ βββββ βββ βββ ββ β ββ ββ ββ ββ βββ β ββ βββ ββ ββ
ββ ββ β
ββ β
ββββ ββ βββ β βββ β βββββ βββββ ββ β ββ βββ β βββ ββ β ββ ββ ββ β β ββ ββ ββ β βββ ββ β β β β βββ ββ βββ
ββ β β βββ βββ β βββ ββ β βββ ββ β ββ βββ β βββββ ββ ββ β βββ β ββ β βββ β β ββ βββ β β ββ β βββββ ββ β ββββ β βββ ββ βββ β β ββββ βββββ ββ ββ ββ ββ β β β ββ ββββββ β β βββ β βββ ββ ββ β βββ ββ β ββ ββ ββ ββ βββ ββ βββ βββ ββββ β ββ
β ββ β ββ ββ β β βββ ββ β β βββ β ββββ β βββ ββ ββ β β β ββ βββββ ββ βββ ββ ββ ββ βββ βββ βββ β ββββββ β βββ β βββ ββ ββ ββ βββ ββ βββ ββ ββ βββ ββ
β β ββ βββ β βββββ ββ βββ ββ βββ ββ β ββ βββ βββ β β βββ βββ ββ ββ βββ ββ β β ββββ β βββββ ββ βββ ββ β ββ βββββ
β ββ β ββ ββ ββ ββ β βββ ββ β βββ ββ β βββ ββ ββ
βββ β ββ ββ ββ ββββ ββ β ββ ββ β ββ ββ β β βββββ
β
β
ββ β ββ βββ βββ β ββ ββ β βββ β β ββ βββ β βββββ ββ ββ β βββ β ββ ββ β β ββ βββ β β ββ β βββββ ββ β ββββ β βββ ββ ββ β β ββββ ββββ ββ ββ ββ ββ β ββ β ββ ββββββ β β βββ β βββββ ββ ββ βββ ββ β βββ ββ ββ βββ ββ βββ ββ βββ β ββ
β βββ ββ
β ββ ββ ββ ββββ β β ββββ βββ ββ ββ β ββ βββββ ββ ββ ββ ββ β β ββ βββ βββ ββ β β ββββ β β ββ βββ ββ β ββ β βββ β ββ ββββ ββ
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PARP1CREB1NONO
PPP1CCSIRT1
CREBBPEP300CRY2PER2DBP
PPP5CCSNK2A1
TNFGNB2L1
WDR5CSNK1E
PER1CSNK2A2CSNK2B
RORANR1I3BTRC
ALAS1PPARANFIL3
GSK3BRORBRORCCRY1
FBXW11FBXL21FBXL3
HLFIFNA1
ARNTLPPP1CACSNK1D
BHLHE41PER3
TEFBHLHE40
CSE1LPRKCA
ARNTL2NR1D1PPARG
PRKAA2NR1D2CLOCKNPAS2
AHR
PXβ1
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Targeted pairs
Figure S7. Related to Figure 7. Correlation between clock gene expression and drug sensitivity. (A) Distribution of z-scored Pearson correlation coefficients between 128 annotated small moleculeβtarget pairs (111 compounds and 83 target genes, green) across all cancer cell lines compared to random sampling of correlation coefficients (black) in GDSC. Dashed line represents two-tailed Bonferroni-corrected significance (|z| = 3.89). (B) and (D) The number of compounds with positive (red) and negative (blue) correlation of expression levels of clock related genes and drug sensitivity in GDSC and CTRP, respectively. (C) Hierarchi-cal clustering of Pearson correlation coefficient for top 10 genes of same correlation tendency with drug sen-sitivity in two groups (left and right of top 10 genes in Figure 6A, respectively). (E) Correlation between drug sensitivity and clock genes in at least 10 clock genes (green: negative correlation; magenta: positive correla-tion; size: p-value) in CTRP .
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Cancer type Abbreviation Name
# of Tumor Samples
# of Normal Samples
Tumor/Normal Pair
Adrenocortical Carcinoma ACC 79 0 No Bladder Urothelial Carcinoma BLCA 408 19 Yes Breast Invasive Carcinoma BRCA 1104 114 Yes Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma CESC 307 0 No Cholangiocarcinoma CHOL 36 0 No Colon Adenocarcinoma COAD 288 26 Yes Lymphoid Neoplasm Diffuse Large B-cell Lymphoma DLBC 48 0 No Esophageal Carcinoma ESCA 185 11 Yes Glioblastoma Multiforme GBM 169 0 No Head and Neck squamous Cell Carcinoma HNSC 522 43 Yes Kidney Chromophobe KICH 66 25 Yes Kidney Renal Clear Cell Carcinoma KIRC 534 72 Yes Kidney Renal Papillary Cell Carcinoma KIRP 291 32 Yes Brain Lower Grade Glioma LGG 534 0 No Liver Hepatocellular Carcinoma LIHC 374 50 Yes Lung Adenocarcinoma LUAD 517 58 Yes Lung Cquamous Cell Carcinoma LUSC 503 51 Yes Mesothelioma MESO 87 0 No Ovarian Serous Cystadenocarcinoma OV 309 0 No Pancreatic Adenocarcinoma PAAD 179 0 No Pheochromocytoma and Paraganglioma PCPG 184 0 No Prostate Adenocarcinoma PRAD 498 52 Yes Rectum Adenocarcinoma READ 95 0 No Sarcoma SARC 263 0 No Skin Cutaneous Melanoma SKCM 473 0 No Stomach Adenocarcinoma STAD 415 32 Yes Testicular Germ Cell Tumors TGCT 156 0 No Thyroid Carcinoma THCA 513 59 Yes Thymoma THYM 120 0 No Uterine Corpus Endometrial Carcinoma UCEC 177 0 No Uterine Carcinosarcoma UCS 57 0 No Uveal Melanoma UVM 80 0 No
Supplementary tables
Table S1. Related to STAR Methods. Number of tumor and normal samples in each cancer type