Predictive and Diagnostic Biomarkers of Anastomotic Leakage: A Precision Medicine Approach for Colorectal Cancer Patients
Abstract
:1. Introduction
2. Colorectal Cancer Staging and Treatment
3. Anastomotic Leaks
4. Intestinal Healing
- ➢
- Stage 1. Haemostasis. Occurring immediately after intestinal injury, this stage involves platelet and coagulation cascade activation.
- ➢
- Stage 2. Inflammation. Occurring within 10 days after intestinal injury, this stage involves surgical site recruitment of lymphocytes, neutrophils and macrophages.
- ➢
- Stage 3. Proliferation. Occurring from 5 to 21 days after intestinal injury, this stage involves intestinal re-epithelisation through fibroblast recruitment and endothelial cell proliferation.
- ➢
- Stage 4. Remodelling. The final stage of intestinal healing occurs from 21 days after intestinal injury and continues for up to 1 year. Here, collagen deposition and tissue remodelling can restore intestinal integrity.
5. Anastomotic Leak Pathophysiology and Risk Factors
5.1. Patient-Related Factors
5.2. Surgery-Related Factors
6. Diagnosis
7. Precision Medicine, Prognostic, Predictive and Pharmacodynamic Biomarkers
- Diagnostic. Identifies the presence of disease;
- Predictive. Indicates the likely benefit of a specific treatment;
- Prognostic. Indicates patient outcome, irrespective of treatment;
- Pharmacodynamic. Allows monitoring treatment effectiveness.
8. Intra-Operative Techniques
9. Post-Operative Techniques
10. Biomarkers of Ischaemia
10.1. Lactate/Pyruvate Ratio
10.2. pH
10.3. Tissue Oxygenation
11. Biomarkers of Inflammation
11.1. C-Reactive Protein, Albumin and Procalcitonin
11.2. Cytokines, Tumour Necrosis Factor-α and Growth Factors
11.3. Leukocytes, Neutrophils and Intestinal Damage Markers
11.4. Macrophage Biomarkers
11.5. Hyponatraemia
12. Biomarkers of Tissue Repair
13. The Intestinal Microbiome and Bacterial Contamination
Bacterial Load
14. Limitations of Biomarkers of Anastomotic Leakage and Future Perspectives
15. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Patient Factors | Surgical Factors | ||
---|---|---|---|
Age Malnutrition Steroid use Diabetes Hypertension Tobacco use | Cardiovascular disease Gender Alcohol use ASA fitness score Diverticulitis Leukocytosis | Poor anastomotic blood supply Concurrent surgical procedures Poor colonic preparation Peri-operative blood transfusion Anastomotic ischaemia or tension Emergency resection | Intra-operative sepsis Peritonitis Operative time >3 h Pre-operative radiotherapy Anastomotic location Bowel obstruction |
Pre-Operative | Intra-Operative | Post-Operative |
---|---|---|
Surgical factors Patient factors Predictive scoring systems Blood samples Urine samples | Tissue appearance Air leak test Endoscopy Intestinal tissue perfusion Intestinal tissue oxygenation | Scoring systems Clinical assessment Routine bloodwork Imaging Biomarkers: ischaemic, inflammatory, bacterial |
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Gray, M.; Marland, J.R.K.; Murray, A.F.; Argyle, D.J.; Potter, M.A. Predictive and Diagnostic Biomarkers of Anastomotic Leakage: A Precision Medicine Approach for Colorectal Cancer Patients. J. Pers. Med. 2021, 11, 471. https://doi.org/10.3390/jpm11060471
Gray M, Marland JRK, Murray AF, Argyle DJ, Potter MA. Predictive and Diagnostic Biomarkers of Anastomotic Leakage: A Precision Medicine Approach for Colorectal Cancer Patients. Journal of Personalized Medicine. 2021; 11(6):471. https://doi.org/10.3390/jpm11060471
Chicago/Turabian StyleGray, Mark, Jamie R. K. Marland, Alan F. Murray, David J. Argyle, and Mark A. Potter. 2021. "Predictive and Diagnostic Biomarkers of Anastomotic Leakage: A Precision Medicine Approach for Colorectal Cancer Patients" Journal of Personalized Medicine 11, no. 6: 471. https://doi.org/10.3390/jpm11060471
APA StyleGray, M., Marland, J. R. K., Murray, A. F., Argyle, D. J., & Potter, M. A. (2021). Predictive and Diagnostic Biomarkers of Anastomotic Leakage: A Precision Medicine Approach for Colorectal Cancer Patients. Journal of Personalized Medicine, 11(6), 471. https://doi.org/10.3390/jpm11060471