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Table 4 The difference of PODXL expression in cancers and corresponding normal tissues in TCGA datasets

From: PODXL might be a new prognostic biomarker in various cancers: a meta-analysis and sequential verification with TCGA datasets

Types of cancer

TCGA dataset

No. of cancer tissues

No. of normal tissues

Log2(FC)

P value

Adenoid cystic carcinoma

ACC

77

128

− 1.068

1.10e-10

Breast invasion carcinoma

BRCA

1085

291

−0.514

4.01e-16

Cervical squamous cell carcinoma

CESC

306

13

−0.590

0.191

Esophagus cancer

ESCA

182

286

1.391

5.97e-22

Glioblastoma multiforme

GBM

163

207

0.866

1.12e-10

Head and neck squamous cell carcinoma

HNSCC

519

44

0.656

0.123

Kidney chromophobe

KICH

66

53

−2.863

1.53e-10

Kidney renal clear cell carcinoma

KIRC

523

100

−0.732

1.85e-9

Kidney renal papillary cell carcinoma

KIRP

286

60

−4.247

1.31e-43

Acute myeloid leukemia

LAML

173

70

1.210

3.26e-2

Liver hepatocellular carcinoma

LIHC

369

160

1.508

8.20e-32

Lung adenocarcinoma

LUAD

483

347

−2.064

6.27e-122

Lung squamous cell carcinoma

LUSC

486

338

−2.832

3.86e-153

Ovarian serous cystadenocarcinoma

OVSC

426

88

1.449

3.96e-14

Pancreatic adenocarcinoma

PAAD

179

171

0.492

4.05e-5

Prostate carcinoma

PRAD

492

152

−0.479

0.044

Rectum adenocarcinoma

READ

92

318

0.598

8.17e-8

Skin cutaneous melanoma

SKCM

461

558

−0.636

3.83e-6

Stomach adenocarcinoma

STAD

408

211

1.597

1.64e-49

Testicular germ cell tumor

TGCT

137

165

2.750

3.93e-30

Thyroid carcinoma

THCA

512

337

−0.796

6.95e-22

Uterine corpus endometrial carcinoma

UCEC

174

91

−0.797

2.97e-5

Uterine carcinosarcoma

UCS

58

78

−2.075

3.79e-12