Using Serological Proteome Analysis to Identify and Evaluate Anti-GRP78 Autoantibody as Biomarker in the Detection of Gastric Cancer

Joint Authors

Dai, Liping
Ye, Hua
Yang, Qian
Zhang, Meng
Qin, Jiejie
Wang, Keyan
Zhu, Jicun
Wang, Peng
Zhang, Jianying
Wang, Xiao

Source

Journal of Oncology

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-18

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Diseases
Medicine

Abstract EN

The serological biomarkers as noninvasive tests are the most promising way for diagnosing gastric cancer (GC).

Serological proteome analysis (SERPA) has been used to identify tumor-associated antigens (TAAs) and the corresponding autoantibodies in many studies.

To explore the relationship between gastric cancer development and serum autoantibody anti-GRP78 response found by the method of SERPA with the GC cell line AGS, we included two cohorts (133 GC and 133 normal individuals in test group; 300 GC and 300 normal individuals in validation group) of patients with newly diagnosed GC for verification.

All GC and normal controls were matched by age and gender.

The autoantibody levels of the sera in two cohorts were measured by immunoassay.

Finally, the results showed that 78-kDa glucose-regulated protein (GRP78) was identified in GC by SERPA and the level of anti-GRP78 antibody in GC was higher than that in normal individuals in the two cohorts.

Receiver operating characteristic (ROC) curve analysis showed similar diagnostic value of anti-GRP78 antibody in test group (AUC: 0.718) and validation group (AUC: 0.666) to identify GC patients from normal individuals.

The AUCs of anti-GRP78 autoantibody in the diagnosis of GC patients with different clinical characteristic ranged from 0.676 to 0.773 in test group and ranged from 0.645 to 0.707 in validation group.

In conclusion, autoantibody against GRP78 might be a potential diagnostic biomarker.

Further large-scale studies will be needed to validate and improve its performance of the sensitivity, specificity, and AUC value in distinguishing GC from other diseases.

American Psychological Association (APA)

Qin, Jiejie& Yang, Qian& Ye, Hua& Wang, Keyan& Zhang, Meng& Zhu, Jicun…[et al.]. 2020. Using Serological Proteome Analysis to Identify and Evaluate Anti-GRP78 Autoantibody as Biomarker in the Detection of Gastric Cancer. Journal of Oncology،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1189188

Modern Language Association (MLA)

Qin, Jiejie…[et al.]. Using Serological Proteome Analysis to Identify and Evaluate Anti-GRP78 Autoantibody as Biomarker in the Detection of Gastric Cancer. Journal of Oncology No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1189188

American Medical Association (AMA)

Qin, Jiejie& Yang, Qian& Ye, Hua& Wang, Keyan& Zhang, Meng& Zhu, Jicun…[et al.]. Using Serological Proteome Analysis to Identify and Evaluate Anti-GRP78 Autoantibody as Biomarker in the Detection of Gastric Cancer. Journal of Oncology. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1189188

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1189188