Skip to main content

Table 2 Top 10 upregulated and 10 downregulated circRNAs in MM patients compared to HCs

From: Comprehensive profiling of circular RNA expressions reveals potential diagnostic and prognostic biomarkers in multiple myeloma

circRNA

Alias

Probe

Type

Chromosome

Start

End

Log2FC

P value

Adjusted P value

Gene Symbol

Trend

hsa_circRNA_104700

hsa_circ_0005273

ASCRP004952

exonic

chr8

141,710,989

141,716,304

3.409915

4.27E-05

0.002753

PTK2

UP

hsa_circRNA_102913

hsa_circ_0058058

ASCRP003221

exonic

chr2

216,177,220

216,190,861

2.939907

0.000842

0.01638

ATIC

UP

hsa_circRNA_104181

hsa_circ_0077765

ASCRP004454

exonic

chr6

125,366,356

125,398,004

2.927002

0.000841

0.01638

RNF217

UP

hsa_circRNA_100033

hsa_circ_0009581

ASCRP000423

exonic

chr1

8,555,122

8,601,377

2.343938

0.002566

0.031823

RERE

UP

hsa_circRNA_103276

hsa_circ_0064136

ASCRP003574

exonic

chr3

9,482,139

9,506,356

2.255827

2.83E-05

0.002231

SETD5

UP

hsa_circRNA_101695

hsa_circ_0007146

ASCRP002042

exonic

chr16

5,077,135

5,078,186

2.247917

0.000244

0.007711

NAGPA

UP

hsa_circRNA_104134

hsa_circ_0004136

ASCRP004407

exonic

chr6

73,713,630

73,751,785

2.232947

9.65E-05

0.004596

KCNQ5

UP

hsa_circRNA_104640

hsa_circ_0001806

ASCRP004893

exonic

chr8

68,018,139

68,028,357

2.221722

0.00036

0.009799

CSPP1

UP

hsa_circRNA_100542

hsa_circ_0017639

ASCRP000922

exonic

chr10

7,290,509

7,327,916

2.132697

6.32E-05

0.003752

SFMBT2

UP

hsa_circRNA_101287

hsa_circ_0008274

ASCRP001647

exonic

chr13

96,485,180

96,489,456

2.118815

0.004029

0.041781

UGGT2

UP

hsa_circRNA_105034

hsa_circ_0001947

ASCRP005281

exonic

chrX

147,743,428

147,744,289

−4.46399

3.17E-06

0.000578

AFF2

DOWN

hsa_circRNA_104980

hsa_circ_0001910

ASCRP005227

exonic

chrX

10,031,484

10,066,619

−4.12073

4.21E-07

0.000174

WWC3

DOWN

hsa_circRNA_101280

hsa_circ_0000497

ASCRP001641

exonic

chr13

78,293,666

78,327,493

−3.99021

2.15E-07

0.000126

SLAIN1

DOWN

hsa_circRNA_100526

hsa_circ_0004277

ASCRP000907

exonic

chr10

1,125,950

1,126,416

−3.95344

1.73E-07

0.000126

WDR37

DOWN

hsa_circRNA_100527

hsa_circ_0017446

ASCRP000908

exonic

chr10

1,125,950

1,132,297

−3.95022

2.21E-07

0.000126

WDR37

DOWN

hsa_circRNA_103106

hsa_circ_0007609

ASCRP003410

exonic

chr20

62,559,687

62,562,375

−3.8805

2.07E-07

0.000126

DNAJC5

DOWN

hsa_circRNA_103765

hsa_circ_0071375

ASCRP004055

exonic

chr4

166,141,085

166,184,511

−3.31029

5.36E-06

0.000749

KLHL2

DOWN

hsa_circRNA_101648

hsa_circ_0000651

ASCRP001997

exonic

chr15

90,982,563

90,986,710

−3.28088

3.21E-07

0.000163

IQGAP1

DOWN

hsa_circRNA_100731

hsa_circ_0020594

ASCRP001105

exonic

chr11

133,583

134,947

−3.25608

0.000108

0.004888

AL137655

DOWN

hsa_circRNA_104689

hsa_circ_0001824

ASCRP004941

exonic

chr8

131,164,981

131,181,313

−3.24653

2.21E-07

0.000126

ASAP1

DOWN

  1. Top 10 upregulated and 10 downregulated circRNAs in MM patients compared to HCs were selected by the rank of absolute value of Log2FC. MM multiple myeloma, HCs health controls, circRNA circular RNA, FC fold change