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. 2022 Jun 9;13:792046. doi: 10.3389/fimmu.2022.792046

Table 4.

Exosomal transport protein, heat shock protein, and adhesion protein.

Type of cancer Protein marker Number of patients/controls Source of exosome/amount of sample Isolation technique Diagnostic accuracy of proposed marker Reference
Lung cancer HSP70 18/19 Plasma/10 ml blood Ultracentrifugation AUC = 0.8968 for distinguishing metastatic stage of cancer (including lung cancer and breast cancer). Comparison was made between patients with metastatic cancer and non-metastatic cancer. (83)
Fibronectin 21/41 Serum/unspecified Sucrose gradient ultracentrifugation AUC = 0.844. (84)
Gastric cancer PSMA3/PSMA6 24/13 Serum/2 ml exoEasy Maxi Kit
(QIAGEN)
Significantly increased in six patients with late-stage gastric cancer. (85)
Colorectal cancer HSP90 18/18 Serum/250 µl Total Exosome Isolation Kit (Invitrogen) Significantly decreased in 18 representative samples. (86)
Prostate cancer αvβ3 70/14 Plasma/over 3 ml Ultracentrifugation Significantly increased in representative samples. (78)
ACTN4 20/8 Serum/unspecified Sucrose gradient ultracentrifugation Significantly increased in castration-resistant prostate cancer compared to prostate cancer patients receiving primary androgen deprivation therapy. (87)
Pancreatic cancer ZIP4 24/78 Serum/500 µl ExoQuick Kit (SBI) AUC = 0.89 for distinguishing malignant cancer from benign pancreatic disease. AUC = 0.8931 for distinguishing malignant cancer group from normal group. [Number of controls include benign pancreatic disease (32) and normal subjects (46)] (88)
Endometrial cancer ANXA2 41/20 Plasma/500 µl ExoGAG AUC = 0.748. (89)
Gynecologic cancer HSP22 30 Serum/1 ml Ultracentrifugation Comparison was made among patients with ovarian cancer, patients with endometrial cancer and patients with endometriosis.
Although no significant result was concluded.
(90)

If no specified AUC, sensitivity, or specificity is claimed in the reference, no precise numerical data for diagnostic accuracy are included in this table.

AUC, area under the curve.