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Table 4 Diagnostic accuracy data from nine studies of exosomal biomarkers

From: Systematic review and meta-analysis: diagnostic accuracy of exosomes in pancreatic cancer

First author

Biomarker name

Type

Sen (%)

Spe (%)

PLR

NLR

DOR

Haruki Odaka

CD63+-EVs

Platelet-derived EVs

0.821

0.846

5.33

0.21

25.20

CD41+-EVs

Platelet-derived EVs

0.718

0.744

2.80

0.38

7.40

CD61+-EVs

Platelet-derived EVs

0.718

0.641

2.00

0.44

4.55

CD63+-EVs & CA19-9

Platelet-derived EVs

0.897

0.872

7.01

0.12

59.33

Sonia A. Melo

GPC1+ crExos

Cell surface proteoglycan

1.000

1.000

/

0.00

/

Juan Li

LRG1-Exos

Cell surface proteoglycan

0.743

0.933

11.09

0.28

40.48

GPC1-Exos

Cell surface proteoglycan

0.800

0.933

11.94

0.21

26.14

LRG1-Exos & GPC1-Exos

Cell surface proteoglycan

0.914

0.867

6.87

0.10

69.46

Lu Hong

hsa_circ_0006220

Exosomal circular RNA

0.774

0.726

2.82

0.31

9.08

hsa_circ_0001666

Exosomal circular RNA

0.968

0.516

2.00

0.06

31.95

hsa_circ_0006220 & hsa_circ_0001666

Exosomal circular RNA

0.742

0.871

5.75

0.30

19.42

P. Moutinho-Ribeiro

GPC1+crExos

Cell surface proteoglycan

0.983

0.862

7.12

0.02

361.19

Jia Chen

miR-451a

exomiR

0.801

0.867

6.01

0.23

26.17

Yusuke Yoshioka

GPRC5C+EV

G protein-coupled receptor

0.519

0.889

4.68

0.54

8.64

EPS8+EV

Epidermal growth factor

0.667

0.833

3.99

0.40

9.99

Zhiguo Yu

GPC1+EV

Cell surface proteoglycan

1.000

0.909

10.99

0.00

/

Takashi Taniguchi

MicroRNA-20a

exomiR

0.820

0.860

5.86

0.21

27.98