Skip to main content

Advertisement

Log in

Evaluation of an inflammation-based prognostic score (GPS) in patients undergoing resection for colon and rectal cancer

  • Original Article
  • Published:
International Journal of Colorectal Disease Aims and scope Submit manuscript

Abstract

Background/aims

The aim of the study was to examine the value of the combination of an elevated C-reactive protein and hypoalbuminaemia (GPS) in predicting cancer-specific survival after resection for colon and rectal cancer.

Materials and methods

The GPS was constructed as follows: Patients with both an elevated C-reactive protein (>10 mg/l) and hypoalbuminaemia (<35 g/l) were allocated a score of 2. Patients in whom only one or none of these biochemical abnormalities was present were allocated a score of 1 or 0, respectively.

Results

A GPS of 1 (n = 109) was mainly due to an elevated C-reactive protein concentration and the remainder due to hypoalbuminaemia. In those patients with a GPS of 1 due to hypoalbuminaemia (n = 16), the 3-year overall survival rate was 94% compared with 62% in those patients with a GPS of 1 due to an elevated C-reactive protein concentration (n = 93, p = 0.0094). Therefore, the GPS was modified such that patients with hypoalbuminaemia were assigned a score of 0 in the absence of an elevated C-reactive protein. On univariate analysis of those patients with colon and rectal cancer, the modified GPS (p < 0.0001) was significantly associated with overall and cancer specific survival. On univariate survival analysis of those patients with Dukes B colon and rectal cancer, the modified GPS (p < 0.01) was significantly associated with overall and cancer specific survival.

Conclusion

The results of the present study indicate that the GPS, before surgery, predicts overall and cancer-specific survival after resection of colon and rectal cancer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Cancerstats (2004) http://www. cancerresearchuk.org

  2. McArdle CS, Hole DJ (2002) Outcome following surgery for colorectal cancer: analysis by hospital after adjustment for case-mix and deprivation. Br J Cancer 86:331–335

    Article  PubMed  CAS  Google Scholar 

  3. Graziano F, Cascinu S (2003) Prognostic molecular markers for planning adjuvant chemotherapy trials in Dukes’ B colorectal cancer patients: how much evidence is enough? Ann Oncol 14:1026–1038

    Article  PubMed  CAS  Google Scholar 

  4. Longo WE, Virgo KS, Johnson FE, Wade TP, Vernava AM, Phelan MA, Henderson WG, Daley J, Khuri SF (1998) Outcome after proctectomy for rectal cancer in Department of Veterans Affairs Hospitals: a report from the National Surgical Quality Improvement Program. Ann Surg 228:64–70

    Article  PubMed  CAS  Google Scholar 

  5. Heys SD, Walker LG, Deehan DJ, Eremin OE (1998) Serum albumin: a prognostic indicator in patients with colorectal cancer. J R Coll Surg Edinb 43:163–168

    PubMed  CAS  Google Scholar 

  6. Longo WE, Virgo KS, Johnson FE, Oprian CA, Vernava AM, Wade TP, Phelan MA, Henderson WG, Daley J, Khuri SF (2000) Risk factors for morbidity and mortality after colectomy for colon cancer. Dis Colon Rectum 43:83–91

    Article  PubMed  CAS  Google Scholar 

  7. Nozoe T, Matsumata T, Kitamura M, Sugimachi K (1998) Significance of preoperative elevation of serum C-reactive protein as an indicator for prognosis in colorectal cancer. Am J Surg 176:335–338

    Article  PubMed  CAS  Google Scholar 

  8. Nielsen HJ, Christensen IJ, Sorensen S, Moesgaard F, Brunner N (2000) Preoperative plasma plasminogen activator inhibitor type-1 and serum C-reactive protein levels in patients with colorectal cancer. The RANX05 Colorectal Cancer Study Group. Ann Surg Oncol 7:617–623

    PubMed  CAS  Google Scholar 

  9. McMillan DC, Canna K, McArdle CS (2003) Systemic inflammatory response predicts survival following curative resection of colorectal cancer. Br J Surg 90:215–219

    Article  PubMed  CAS  Google Scholar 

  10. Forrest LM, McMillan DC, McArdle CS, Angerson WJ, Dunlop DJ (2003) Evaluation of cumulative prognostic scores based on the systemic inflammatory response in patients with inoperable non-small-cell lung cancer. Br J Cancer 89:1028–1030

    Article  PubMed  CAS  Google Scholar 

  11. Forrest LM, McMillan DC, McArdle CS, Angerson WJ, Dagg K, Scott HR (2005) A prospective longitudinal study of performance status, an inflammation-based score (GPS) and survival in patients with inoperable non-small-cell lung cancer. Br J Cancer 92:1834–1836

    Article  PubMed  CAS  Google Scholar 

  12. Al Murri AM, Bartlett JM, Canney PA, Doughty JC, Wilson C, McMillan DC (2006) Evaluation of an inflammation-based prognostic score (GPS) in patients with metastatic breast cancer. Br J Cancer 94:227–230

    Article  PubMed  Google Scholar 

  13. Crumley AB, McMillan DC, McKernan M, McDonald AC, Stuart RC (2006) Evaluation of an inflammation-based prognostic score in patients with inoperable gastro-oesophageal cancer. Br J Cancer 94:637–641

    PubMed  CAS  Google Scholar 

  14. Glen P, Jamieson NB, McMillan DC, Carter R, Imrie CW, McKay CJ (2006) Evaluation of an inflammation-based prognostic score in patients with inoperable pancreatic cancer. Pancreatology 6:450–453

    Article  PubMed  Google Scholar 

  15. Dukes CE, Bussey HJR (1958) The spread of rectal cancer and its effect on prognosis. Br J Cancer 12:309–320

    PubMed  CAS  Google Scholar 

  16. McMillan DC, Scott HR, Watson WS, Preston T, Milroy R, McArdle CS (1998) Longitudinal study of body cell mass depletion and the inflammatory response in cancer patients. Nutr Cancer 31:101–105

    Article  PubMed  CAS  Google Scholar 

  17. Fearon KC, Barber MD, Falconer JS, McMillan DC, Ross JA, Preston T (1999) Pancreatic cancer as a model: inflammatory mediators, acute-phase response, and cancer cachexia. World J Surg 23:584–588

    Article  PubMed  CAS  Google Scholar 

  18. McMillan DC, Watson WS, O’Gorman P, Preston T, Scott HR, McArdle CS (2001) Albumin concentrations are primarily determined by the body cell mass and the systemic inflammatory response in cancer patients with weight loss. Nutr Cancer 39:210–213

    Article  PubMed  CAS  Google Scholar 

  19. Kotler DP (2000) Cachexia. Ann Intern Med 133:622–634

    PubMed  CAS  Google Scholar 

  20. Morley JE, Thomas DR, Wilson MM (2006) Cachexia: pathophysiology and clinical relevance. Am J Clin Nutr 83:735–743

    PubMed  CAS  Google Scholar 

  21. Kritchevsky SB, Cesari M, Pahor M (2005) Inflammatory markers and cardiovascular health in older adults. Cardiovasc Res 66:265–275

    Article  PubMed  CAS  Google Scholar 

  22. Tsimikas S, Willerson JT, Ridker PM (2006) C-reactive protein and other emerging blood biomarkers to optimize risk stratification of vulnerable patients. J Am Coll Cardiol 47(8 Suppl):C19–C31

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgement

We gratefully acknowledge the assistance of the surgeons of the colorectal unit, Royal Infirmary, Glasgow.

Conflict of interest statement

None declared.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Donald C. McMillan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

McMillan, D.C., Crozier, J.E.M., Canna, K. et al. Evaluation of an inflammation-based prognostic score (GPS) in patients undergoing resection for colon and rectal cancer. Int J Colorectal Dis 22, 881–886 (2007). https://doi.org/10.1007/s00384-006-0259-6

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00384-006-0259-6

Keywords

Navigation