Table 2 Multivariate Cox regression analysis for 16 target genes selected by LASSO coefficient profiles according to relapse-free survival (RFS) and 14 chromatic remodeling-associated genes.

From: The role of the genomic mutation signature and tumor mutation burden on relapse risk prediction in head and neck squamous cell carcinoma after concurrent chemoradiotherapy

No

RMS genes

Coefficients (β)

SE

P

CRMS genes

Coefficients (β)

SE

P

1

SOX2

āˆ’2.068

0.552

<0.001

MLL

āˆ’0.341

0.693

0.622

2

ATR

āˆ’0.510

0.602

0.397

SETD2

0.466

0.432

0.281

3

JAK2

1.975

0.432

<0.001

EP300

āˆ’0.884

0.636

0.165

4

FANCG

1.436

0.427

<0.001

KMT2D

0.213

0.331

0.520

5

ZNF217

1.843

0.415

<0.001

BRD4

0.021

1.054

0.984

6

EPHB4

āˆ’1.330

1.018

0.191

CREBBP

0.051

0.442

0.908

7

MUTYH

1.204

0.493

0.015

DOT1L

0.484

0.479

0.311

8

AXL

0.367

0.481

0.445

TET2

āˆ’0.295

0.626

0.637

9

CD22

āˆ’9.944

115.986

0.932

PRDM1

0.278

1.203

0.817

10

CDKN1A

2.836

0.613

<0.001

WHSC1L1

āˆ’1.436

1.025

0.161

11

ERBB3

1.745

0.611

0.004

DNMT3A

āˆ’0.186

0.597

0.755

12

RAD51D

1.740

0.613

0.005

WHSC1

āˆ’16.337

4702.509

0.997

13

STAT3

2.194

0.623

<0.001

HDAC1

āˆ’16.330

4745.240

0.997

14

ABL1

1.365

0.621

0.028

EZH2

1.581

1.424

0.267

15

MITF

2.574

0.741

<0.001

–

Ā Ā Ā 

16

PAX5

1.003

0.807

0.214

–

Ā Ā Ā 
  1. HR hazard ratio, SE standard error.
  2. p values that are statistically significant are shown in bold.