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Table 1 Individual genes and genome regions containing multiple genes which contained methylation probes with the strongest Spearman correlations (p < 10−8) with log(IC50) of antitumor agents

From: Epigenome-wide DNA methylation analysis of small cell lung cancer cell lines suggests potential chemotherapy targets

Agent

Inhibitor category

Associated genes

Chromosomal location

Highest |ρ| for probe methylation vs log(IC50)

Lowest p for probe methylation vs log(IC50)

Highest |r| for transcript expression vs log(IC50)

Lowest p for transcript expression vs logIC50

Highest |ρ| for transcript expression vs probe methylation

Lowest p for transcript expression vs probe methylation

Transcript with lowest p for expression vs log(IC50)

4SC-202

HDAC

SNED1

2q37.3

0.6927

1.16 × 10−10

0.1492

0.2281

0.2178

0.0789

NM_001080437 (SNED1)

BIM-46187

Pan-G-protein

C8orf74

8p23.1

− 0.6721

6.47 × 10−10

     

R-547

CDK

TREX1

3p21.31

− 0.6674

9.39 × 10−10

     

CT-32228

LPAAT-β

STK39

2q24.3

0.6620

1.43 × 10−9

− 0.0575

0.6438

− 0.1757

0.1581

NM_013233 (STK39)

Pyrvinium pamoate

 

FBXL18

7p22.1

0.6612

1.51 × 10−9

0.0083

0.9471

− 0.0427

0.7333

NM_024963 (FBXL18)

Digoxin

 

KLHL26

19p13.11

0.6606

1.58 × 10−9

0.0266

0.8309

0.2699

0.0284

NM_018316 (KLHL26)

Astex FGF inhibitor

FGFR

TRIM2

4q31.3

0.6580

1.94 × 10−9

0.0143

0.9085

− 0.1558

0.2117

NM_015271 (TRIM2)

ENMD-2076

Aurora kinase

NRP1

10p11.22

0.6566

2.14 × 10−9

0.1231

0.3212

0.3968

0.0010

NM_003873 (NRP1)

Olaparib

PARP1

LHX4

1q25.2

0.6559

2.26 × 10−9

0.0803

0.5184

0.4303

0.0003

NM_033343 (LHX4)

Depsipeptide

HDAC

VWF

12p13.31

− 0.6535

2.70 × 10−9

− 0.1586

0.1999

0.3311

0.0066

NM_000552 (VWF)

Tamoxifen

SERM

CABIN1

22q11.23

0.6510

3.26 × 10−9

− 0.0575

0.6437

− 0.2398

0.0525

NM_012295 (CABIN1)

SNS-314

Aurora kinase

TPM3

1q21.3

0.6507

3.34 × 10−9

0.1638

0.1854

0.0760

0.5441

NM_152263 (TPM3)

ENMD-2076

Aurora kinase

FOXN3

14q31.3

− 0.6500

3.52 × 10−9

0.0638

0.6081

− 0.0538

0.6677

NM_001085471 (FOXN3)

Depsipeptide

HDAC

FYN

6q21

− 0.6490

3.78 × 10−9

− 0.1180

0.3415

− 0.0357

0.7762

NM_002037

(FYN)

XL-888

HSP-90

ETV6, RNU6-19P

12p13.2

− 0.6474

4.25 × 10−9

0.2387

0.0518

− 0.2837

0.0210

NM_001987 (ETV6)

Depsipeptide

HDAC

MTERFD3

12q23.3

− 0.6468

4.43 × 10−9

0.1686

0.1725

− 0.3133

0.0104

NM_001033050 (MTERFD3)

ARQ-197

c-Met

TRIM2

4q31.3

0.6498

4.73 × 10−9

− 0.0801

0.5228

− 0.1558

0.2117

NM_015271 (TRIM2)

TAK-901

Aurora kinase

TREX1

3p21.31

− 0.6457

4.81 × 10−9

     

Flavopiridol

CDK

ATP13A3

3q29

− 0.6434

5.68 × 10−9

0.1702

0.1685

− 0.4160

0.0005

NM_024524 (ATP13A3)

YK-4-279

ERG

TRIM2

4q31.3

0.6426

6.00 × 10−9

− 0.1094

0.3782

− 0.1558

0.2117

NM_015271 (TRIM2 )

R-547

CDK

GIGYF2

2q37.1

0.6424

6.09 × 10−9

− 0.1255

0.3114

− 0.1350

0.2798

NM_001103147 (GIGYF2)

R-547

CDK

SP2

17q21.32

0.6407

6.88 × 10−9

0.2484

0.0427

0.1529

0.2203

NM_003110

(SP2)

ZIP-301

 

TRIM2

4q31.3

0.6406

6.93 × 10−9

− 0.0669

0.5905

− 0.1558

0.2117

NM_015271 (TRIM2)

TAK-960 analog

PLK-1

FGF13

Xq26.3

0.6396

7.42 × 10−9

− 0.0133

0.9151

0.3407

0.0051

NM_004114 (FGF13)

Digoxin

 

SLC16A6, ARSG

17q24.2

0.6389

7.83 × 10−9

− 0.1918

0.1199

− 0.3055

0.0126

NM_014960 (ARSG)

SC-1

Ras-GAP

WT1

11p13

− 0.6377

8.50 × 10−9

− 0.3245

0.0074

0.5277

5.28 × 10-6

NM_024424

(WT1)

Depsipeptide

HDAC

AHSG

3q27.3

− 0.6374

8.66 × 10−9

− 0.0101

0.9356

0.0429

0.7323

NM_001622 (AHSG)

ONX-0912

Proteasome

HRNBP3

17q25.3

− 0.6368

9.06 × 10−9

     

GSK-461364

PLK-1

NRP1

10p11.22

0.6367

9.09 × 10−9

0.2571

0.0357

0.3968

0.0010

NM_003873 (NRP1)

SB-590885

BRAF

LOH12CR1

12p13.2

− 0.6364

9.31 × 10−9

− 0.1878

0.1280

− 0.0711

0.5705

NM_058169 (LOH12CR1)

Flavopiridol

CDK

CYP19A1

15q21.2

0.6360

9.54 × 10−9

0.1601

0.1955

0.1494

0.2313

NM_031226 (CYP19A1)

  1. Shown are the strongest correlations with drug response, for genes or combined gene regions with at least one probe satisfying pO < 10−8 for Spearman correlation between methylation beta-values and log(IC50). Among multiple transcripts matching the same gene, the best matching transcript was identified by finding all Affymetrix transcripts with matching gene names and by selecting the most significant transcript from Spearman correlation between log2 of transcript expression and methylation of each probe within the gene/gene region that had been associated with log(IC50) of that agent with pO < 5 × 10−7. We also provide the NCBI or Ensembl ID of the transcript with a matching gene name that had the most significant Pearson correlation between log2 of transcript expression with log(IC50) of the agent. For those gene regions where probes with pO < 5 × 10−7 were assigned to multiple genes in the Infinium MethylationEPIC BeadChip manifest annotation [29] according to the UCSC genome annotation, the output summary for multiple genes was combined, as shown in the Gene Regions column for the regions combining ETV6 and RNU6-19P output and SLC16A6 and ARSG output. An expanded list of genes and combined genome regions containing multiple genes, each with at least one methylation probe satisfying pO < 9.42 × 10−8, is provided in Supplementary Table 4. Correlation results of log2 of expression of the most strongly correlated transcript with probe methylation and with log(IC50) are provided for those genes that had matching transcript data in the Affymetrix GeneChip®Human Exon 1.0 ST Array.
  2. Cluster ID transcript cluster ID for the Affymetrix GeneChip®Human Exon 1.0 ST Array, ρ Spearman correlation coefficient, r Pearson correlation coefficient, CDK cyclin-dependent kinase, HDAC histone deacetylase, LPAAT-β lysophosphatidic acid acyltransferase-β, PLK-1 polo-like kinase 1, SERM selective estrogen receptor modulator