Skip to main content

Table 4 Studies regarding blood-based exosomes as potential biomarkers for bladder cancer

From: Blood-based liquid biopsy: insights into early detection, prediction, and treatment monitoring of bladder cancer

Authors (year)

Sample type

Functional component

No. of patients

Laboratory technique

Clinical application

Detection rate

Refs.

Wang et al. (2018)

Serum

H19

104

ExoQuick exosome purification kit

Diagnostic biomarker

AUC = 85.1%, sensitivity = 74.07%, specificity = 78.8%

[157]

Zhang et al. (2019)

Serum

Three-lncRNA panel (PCAT-1, UBC1, and SNHG16)

520

ExoQuick exosome purification kit

Diagnostic biomarker

AUC = 0.857 in training set, and 0.826 in validation set

[158]

Xue et al. (2017)

Serum

lncRNA-UCA1

60

ExoQuick exosome purification kit

Diagnostic biomarker

AUC = 87.83%, sensitivity = 80%, specificity = 83.33%

[159]

Elsharkawi et al. (2019)

Serum

Tumor-derived exosomes

82

ExoQuantTM overall exosome capture and quantification assay kit, ELISA

Diagnostic biomarker

Sensitivity = 82.4%, specificity = 100%

[160]

Zheng et al. (2018)

Plasma

lncRNA-PTENP1

110

ExoQuick exosome purification kit

Diagnostic biomarker, predict disease progression

AUC = 74.3%, sensitivity = 65.4%, specificity = 84.2%, predict disease progression (p < 0.05)

[161]

Yin et al. (2020)

Plasma

miR-663b

122

ExoQuick‐TC Exosome Precipitation Solution

Predict disease progression

Disease progression (p < 0.05)

[167]

Yan et al. (2020)

Plasma

LINC00355

57

miRNA microarray

Predict disease progression

Disease progression (p < 0.05)

[168]

Cai et al. (2020)

Serum

miR-133b

11

Total exosome isolation reagent

Predict disease progression

Disease progression (p < 0.05)

[170]

Sabo et al. (2020)

Plasma

miR-126-3p

93

Deep sequencing

Predict prognosis

OS (p < 0.05)

[171]

Zhang et al. (2019)

Serum

LINC00355

520

ExoQuick exosome purification kit

Predict prognosis

RFS (p = 0.01)

 

Chen et al. (2020)

Serum

circRNA hsa_circ_0051443

592

FRET, CD spectroscopy

Predict prognosis

OS (p < 0.05)

[181]

Yang et al. (2022)

Serum

circTRPS1

90

ExoQuick Exosome Precipitation Solution

Predict prognosis

OS (p = 0.01)

[182]

Chen et al. (2018)

Serum

circRNA-PRMT5

119

Electron microscopy

Predict prognosis

OS (p = 0.028)

[183]

  1. miRNA microRNA, circRNA circular RNA, lncRNA long non-coding RNA, AUC area under the receiver operating characteristics curve, ELISA enzyme linked immunosorbent assay, OS overall survival, RFS recurrence-free survival