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Plasma-Derived Exosomal circGAPVD1 Predicts Malignant Bowel Obstruction in Colorectal Cancer
Clinical Laboratory
|July 7, 2026
Summary
Predicting postoperative malignant bowel obstruction (MBO) in colorectal cancer (CRC) is improved by combining plasma-derived exosomal circGAPVD1 with hematological markers like neutrophil-to-lymphocyte ratio (NLR). This combined approach enhances diagnostic accuracy for MBO in CRC patients.
Area of Science:
- Oncology
- Gastroenterology
- Biomarker Discovery
Background:
- Colorectal cancer (CRC) patients are at risk of postoperative malignant bowel obstruction (MBO).
- Early prediction of MBO is crucial for timely intervention and improved patient outcomes.
- Identifying reliable predictive markers for MBO in CRC is an ongoing clinical challenge.
Purpose of the Study:
- To evaluate the predictive capability of specific hematological parameters and plasma-derived exosomal circGAPVD1 for MBO.
- To assess the combined diagnostic accuracy of these markers in predicting MBO post-CRC surgery.
- To identify independent risk factors for MBO development in colorectal cancer patients.
Main Methods:
- A cohort of 120 colorectal cancer patients undergoing surgery was analyzed.
- Patients were categorized into MBO (n=20) and non-MBO (n=100) groups one week post-surgery.
- Logistic regression was employed to analyze risk factors and the predictive value of selected hematological parameters (NE, RDW, NLR, PLR) and circGAPVD1.
Main Results:
- Elevated levels of WBC, NE, LY, RBC, HGB, RDW, PLT, NLR, PLR, and circGAPVD1 were observed post-surgery.
- MBO patients showed a higher incidence of rectal tumors and clinical stage III, with fewer laparoscopic surgeries.
- NE, RDW, NLR, and PLR were identified as independent risk factors for MBO; combined testing with circGAPVD1 significantly improved AUC values.
Conclusions:
- Plasma-derived exosomal circGAPVD1 and specific hematological markers (NE, RDW, NLR, PLR) demonstrate significant predictive value for MBO in CRC.
- The combination of these markers substantially enhances the accuracy of MBO prediction compared to individual tests.
- This multimodal approach offers a promising strategy for early MBO detection in postoperative CRC patients.
