Skip to main content

Advertisement

Log in

Which Is the Optimal Risk Stratification System for Surgically Treated Localized Primary GIST? Comparison of Three Contemporary Prognostic Criteria in 171 Tumors and a Proposal for a Modified Armed Forces Institute of Pathology Risk Criteria

  • Gastrointestinal Oncology
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

Abstract

Background

This study aims to validate and compare the performance of the National Institute of Health (NIH) criteria, Huang modified NIH criteria, and Armed Forces Institute of Pathology (AFIP) risk criteria for gastrointestinal stromal tumors (GISTs) in a large series of localized primary GISTs surgically treated at a single institution to determine the ideal risk stratification system for GIST.

Methods

The clinicopathological features of 171 consecutive patients who underwent surgical resection for GISTs were retrospectively reviewed. Statistical analyses were performed to compare the prognostic value of the three risk criteria by analyzing the discriminatory ability linear trend, homogeneity, monotonicity of gradients, and Akaike information criteria.

Results

The median actuarial recurrence-free survival (RFS) for all 171 patients was 70%. On multivariate analyses, size >10 cm, mitotic count >5/50 high-power field, tumor necrosis, and serosal involvement were independent prognostic factors of RFS. All three risk criteria demonstrated a statistically significant difference in the recurrence rate, median actuarial RFS, actuarial 5-year RFS, and tumor-specific death across the different stages. Comparison of the various risk-stratification systems demonstrated that our proposed modified AFIP criteria had the best independent predictive value of RFS when compared with the other systems.

Conclusion

The NIH, modified NIH, and AFIP criteria are useful in the prognostication of GIST, and the AFIP risk criteria provided the best prognostication among the three systems for primary localized GIST. However, remarkable prognostic heterogeneity exists in the AFIP high-risk category, and with our proposed modification, this system provides the most accurate prognostic information.

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.

Fig. 1

Similar content being viewed by others

References

  1. Eisenberg BL, Judson I. Surgery, imatinib in the management of GIST: emerging approaches to adjuvant and neoadjuvant therapy. Ann Surg Oncol 2004; 11:465–75

    Article  PubMed  Google Scholar 

  2. Hirota S, Isozaki K, Moriyama Y, et al. Gain-of-function mutations of c-kit in human gastrointestinal stromal tumors. Science 1998; 279:577–80

    Article  PubMed  CAS  Google Scholar 

  3. Gupta M, Sheppard BC, Corless CL, et al. Outcome following surgical therapy for gastrointestinal stromal tumors. J Gastrointest Surg 2006; 10:1099–105

    Article  PubMed  Google Scholar 

  4. Connolly EM, Gaffney E, Reynolds JV. Gastrointestinal stromal tumors. Br J Surg 2003; 90:1178–86

    Article  PubMed  CAS  Google Scholar 

  5. Goh BK, Chow PK, Kesavan SM, et al. Outcome after surgical treatment of suspected gastrointestinal stromal tumors involving the duodenum: is limited resection appropriate? J Surg Oncol 2008; 97:388–91

    Article  PubMed  Google Scholar 

  6. Goh BK, Chow PK, Chuah KL, et al. Pathologic, radiologic and PET scan response of gastrointestinal stromal tumors after neoadjuvant treatment with imatinib mesylate. Eur J Surg Oncol 2006; 32:961–3

    Article  PubMed  CAS  Google Scholar 

  7. Fletcher CD, Berman JJ, Corless C, et al. Diagnosis of gastrointestinal stromal tumors: a consensus approach. Hum Pathol 2002; 33:459–65

    Article  PubMed  Google Scholar 

  8. Miettinen M, El-Rifai W, Sobin LH, et al. Evaluation of malignancy and prognosis of gastrointestinal stromal tumors: a review. Hum Pathol 2002; 33:478–83

    Article  PubMed  CAS  Google Scholar 

  9. Miettinen M, Sobin LH, Lasota J. Gastrointestinal stromal tumors of the stomach. A clinicopathologic, immunohistochemical, and molecular genetic study of 1765 cases with long-term follow-up. Am J Surg Pathol 2005; 29:52–68

    Article  PubMed  Google Scholar 

  10. Miettinen M, Makhlouf H, Sobin LH, et al. Gastrointestinal stromal tumors of the jejunum and ileum. A clinicopathologic, immunohistochemical, and molecular genetic study of 906 cases before imatinib with long-term follow-up. Am J Surg Pathol 2006; 30:477–89

    Article  PubMed  Google Scholar 

  11. Miettinen M, Lasota J. Gastrointestinal stromal tumors. Review on morphology, molecular pathology, prognosis, and differential diagnosis. Arch Pathol Lab Med 2006; 130:1466–78

    PubMed  CAS  Google Scholar 

  12. Huang HY, Li CF, Huang WW, et al. A modification of NIH consensus criteria to better distinguish the highly subset of primary localized gastrointestinal stromal tumors: a subdivision of the original high-risk group on the basis of outcome. Surgery 2007; 141:748–56

    Article  PubMed  Google Scholar 

  13. Rutkowski P, Nowecki ZI, Michej W, et al. Risk criteria and prognostic factors for predicting recurrences after resection of primary gastrointestinal stromal tumor. Ann Surg Oncol 2007; 14:2018–27

    Article  PubMed  Google Scholar 

  14. Nilsson B, Bumming P, Meis-Kindblom JM, et al. Gastrointestinal stromal tumors: the incidence, prevalence, clinical course, and prognostication in the preimatinib mesylate era—a population-based study in western Sweden. Cancer 2005; 103:821–9

    Article  PubMed  Google Scholar 

  15. Ahmed I, Welch NT, Parsons SL. Gastrointestinal stromal tumors (GIST)—17 years experience from Mid Trent region (United Kingdom). Eur J Surg Oncol 2008; 34:445–9

    PubMed  CAS  Google Scholar 

  16. Hassan I, You YN, Shyyan R, et al. Surgically managed gastrointestinal stromal tumors: a comparative and prognostic analysis. Ann Surg Oncol 2008; 15:52–9

    Article  PubMed  Google Scholar 

  17. Sobin LH, Wittekind C. International union against cancer: TNM classification of malignant tumours. 5th ed. New York: Wiley, 1997

    Google Scholar 

  18. Marrero JA, Fontana RJ, Barrat A, et al. Prognosis of hepatocellular carcinoma: comparison of 7 staging systems in an American cohort. Hepatology 2005; 41:707–16

    Article  PubMed  Google Scholar 

  19. Ueno S, Tanabe G, Sako K, et al. Discrimination value of the new western prognostic system (CLIP score) for hepatocellular carcinoma in 662 Japanese patients. Hepatology 2001; 34:529–34

    Article  PubMed  CAS  Google Scholar 

  20. Parzen M, Lipstiz SR. A global goodness-fit statistic for Cox regression models. Biometrics 1999; 55:580–4

    Article  PubMed  CAS  Google Scholar 

  21. Dematteo RP, Lewis JJ, Leung D, et al. Two hundred gastrointestinal stromal tumors. Recurrence patterns and prognostic factors for survival. Ann Surg 2000; 231:51–8

    Article  PubMed  CAS  Google Scholar 

  22. Pidhorecky I, Cheney RT, Kraybill WG, et al. Gastrointestinal stromal tumors: current diagnosis, biologic behavior, and management. Ann Surg Oncol 2000; 7:705–12

    Article  PubMed  CAS  Google Scholar 

  23. Dematteo RP, Heinrich MC, El-Rifai WM, et al. Clinical management of gastrointestinal stromal tumors: before and after STI-571. Hum Pathol 2002; 33:466–77

    Article  PubMed  CAS  Google Scholar 

  24. Emory TS, Sobin LH, Lukes L, et al. Prognosis of gastrointestinal stromal smooth-muscle (stromal) tumors. Dependence on anatomic site. Am J Surg Pathol 1999; 23:82–7

    Article  PubMed  CAS  Google Scholar 

  25. Ng EH, Pollock RE, Romsdahl MM. Prognostic implications of patterns of failure of gastrointestinal leiomyosarcomas. Cancer 1992; 69:1334–41

    Article  PubMed  CAS  Google Scholar 

  26. Ng EH, Pollock RE, Munsell MF, et al. Prognostic factors influencing survival in gastrointestinal leiomyosarcomas: implications for surgical management and staging. Ann Surg 1992; 215:68–77

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pierce K. H. Chow MBBS, FRCS, PhD.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Goh, B.K.P., Chow, P.K.H., Yap, WM. et al. Which Is the Optimal Risk Stratification System for Surgically Treated Localized Primary GIST? Comparison of Three Contemporary Prognostic Criteria in 171 Tumors and a Proposal for a Modified Armed Forces Institute of Pathology Risk Criteria. Ann Surg Oncol 15, 2153–2163 (2008). https://doi.org/10.1245/s10434-008-9969-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1245/s10434-008-9969-z

Keywords

Navigation