Label-free serum proteomics for the identification of the putative biomarkers of postoperative pain in patients with gastric cancer.

Abstract

Background: Individualized pain therapy conforms to the concept of precision medicine and contributes to adequate pain management after surgery. Preoperative biomarkers associated with postoperative pain may instruct anesthesiologists to improve personalized suitable analgesia. Therefore, it is essential to explore the association between preoperative proteins and postoperative acute pain using the proteomics platform. Methods: In this study, the 24 hours postoperative sufentanil consumption of 80 male patients with gastric cancer was ranked. Patients with sufentanil consumption in the lowest 12% were included in the sufentanil low consumption group, while patients with sufentanil consumption in the highest 12% were included in the sufentanil high consumption group. The secretion of serum proteins in both groups was analyzed using label-free proteomics technology. The results were validated by ELISA. Results: Proteomics identified 29 proteins that were significantly differentially expressed between groups. ELISA confirmed that secretion of TNC and IGFBP2 was down-regulated in the SLC group. The differential proteins were mainly extracellular and were involved in several terms, including calcium ion binding, laminin-1 binding, and so on. Pathway analysis showed that they were mainly enriched in focal adhesion and extracellular matrix-receptor interaction. The protein-protein interaction network analysis showed 22 proteins that interacted with other proteins. F13B had the strongest correlation with sufentanil consumption and its AUC value was 0.859. Conclusions: Several differential proteins are associated with postoperative acute pain and are involved in ECM-related processes, inflammation, and blood coagulation cascades. F13B may be a novel marker for postoperative acute pain. Our results may benefit postoperative pain management.