Gene-expression signature of tumor recurrence in patients with stage II and III colon cancer treated with 5′fluoruracil-based adjuvant chemotherapy
María Dolores Giráldez
Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorJuan José Lozano
Bioinformatics Unit, CIBERehd, Barcelona, Catalonia, Spain
Search for more papers by this authorMíriam Cuatrecasas
Department of Pathology, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorVirginia Alonso-Espinaco
Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorJoan Maurel
Department of Medical Oncology, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorMaribel Mármol
Department of Medical Oncology, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorCarlos Hörndler
Department of Pathology, Hospital Miguel Servet, Zaragoza, Spain
Search for more papers by this authorJavier Ortego
Department of Pathology, Hospital Clínico Lozano Blesa, Zaragoza, Spain
Search for more papers by this authorVicente Alonso
Department of Medical Oncology, Hospital Miguel Servet, Zaragoza, Spain
Search for more papers by this authorPilar Escudero
Medical Oncology Departments, Hospital Clínico Lozano Blesa, Zaragoza, Spain
Search for more papers by this authorGina Ramírez
Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorAurea Mira
Center for Biomedical Diagnosis, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorCorresponding Author
Antoni Castells
Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Tel.: +34-93-227-5739, Fax: +34-93-227-5589
Department of Gastroenterology, Hospital Clínic, Villarroel 170, 08036 Barcelona, Catalonia, SpainSearch for more papers by this authorMaría Dolores Giráldez
Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorJuan José Lozano
Bioinformatics Unit, CIBERehd, Barcelona, Catalonia, Spain
Search for more papers by this authorMíriam Cuatrecasas
Department of Pathology, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorVirginia Alonso-Espinaco
Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorJoan Maurel
Department of Medical Oncology, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorMaribel Mármol
Department of Medical Oncology, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorCarlos Hörndler
Department of Pathology, Hospital Miguel Servet, Zaragoza, Spain
Search for more papers by this authorJavier Ortego
Department of Pathology, Hospital Clínico Lozano Blesa, Zaragoza, Spain
Search for more papers by this authorVicente Alonso
Department of Medical Oncology, Hospital Miguel Servet, Zaragoza, Spain
Search for more papers by this authorPilar Escudero
Medical Oncology Departments, Hospital Clínico Lozano Blesa, Zaragoza, Spain
Search for more papers by this authorGina Ramírez
Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorAurea Mira
Center for Biomedical Diagnosis, Hospital Clínic, CIBERehd, IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Search for more papers by this authorCorresponding Author
Antoni Castells
Department of Gastroenterology, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), IDIBAPS*, University of Barcelona, Barcelona, Catalonia, Spain
Tel.: +34-93-227-5739, Fax: +34-93-227-5589
Department of Gastroenterology, Hospital Clínic, Villarroel 170, 08036 Barcelona, Catalonia, SpainSearch for more papers by this authorAbstract
Although receiving adjuvant chemotherapy after radical surgery, a disappointing proportion of patients with colorectal cancer will develop tumor recurrence. Probability of relapse is currently predicted from pathological staging, there being a need for additional markers to further select high-risk patients. This study was aimed to identify a gene-expression signature to predict tumor recurrence in patients with Stages II and III colon cancer treated with 5′fluoruracil (5FU)-based adjuvant chemotherapy. Two-hundred and twenty-eight patients diagnosed with Stages II–III colon cancer and treated with surgical resection and 5FU-based adjuvant chemotherapy were included. RNA was extracted from formalin-fixed, paraffin-embedded tissue samples and expression of 27 selected candidate genes was analyzed by RT-qPCR. A tumor recurrence predicting model, including clinico-pathological variables and gene-expression profiling, was developed by Cox regression analysis and validated by bootstrapping. The regression analysis identified tumor stage and S100A2 and S100A10 gene expression as independently associated with tumor recurrence. The risk score derived from this model was able to discriminate two groups with a highly significant different probability of tumor recurrence (HR, 2.75; 95%CI, 1.71–4.39; p = 0.0001), which it was maintained when patients were stratified according to tumor stage. The algorithm was also able to distinguish two groups with different overall survival (HR, 2.68; 95%CI, 1.12–6.42; p = 0.03). Identification of a new gene-expression signature associated with a high probability of tumor recurrence in patients with Stages II and III colon cancer receiving adjuvant 5FU-based chemotherapy, and its combination in a robust, easy-to-use and reliable algorithm may contribute to tailor treatment and surveillance strategies.
Abstract
What's new?
A disappointing proportion of patients with colon cancer who received adjuvant chemotherapy after radical surgery will nonetheless develop tumor recurrence. Patients' chances of relapse are currently being predicted using pathological staging, and additional markers are needed to help select high-risk patients. This study identified a new gene-expression signature that, along with tumor stage, provides a robust and easy-to-use and reliable mathematical algorithm to identify patients at higher risk of tumor relapse and shorter survival who may eventually benefit from a more aggressive therapeutic regimen and more intensive surveillance.
Supporting Information
Additional Supporting Information may be found in the online version of this article.
Filename | Description |
---|---|
IJC_27747_sm_SuppTab1.doc47 KB | Supporting Information Table 1. Candidate genes evaluated in the analysis. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
References
- 1 Jemal A, Siegel R, Ward E, et al. Cancer statistics, 2009. CA Cancer J Clin 2009; 59: 225–49.
- 2 Levin B, Lieberman DA, McFarland B, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. CA Cancer J Clin 2008; 58: 130–60.
- 3 O'Connell JB, Maggard MA, Ko CY. Colon cancer survival rates with the new American Joint Committee on Cancer sixth edition staging. J Natl Cancer Inst 2004; 96: 1420–5.
- 4 Rodriguez-Moranta F, Salo J, Arcusa A, et al. Postoperative surveillance in patients with colorectal cancer who have undergone curative resection: a prospective, multicenter, randomized, controlled trial. J Clin Oncol 2006; 24: 386–93.
- 5 Meyerhardt JA, Mayer RJ. Systemic therapy for colorectal cancer. N Engl J Med 2005; 352: 476–87.
- 6 O'Connell MJ, Campbell ME, Goldberg RM, et al. Survival following recurrence in stage II and III colon cancer: findings from the ACCENT data set. J Clin Oncol 2008; 26: 2336–41.
- 7 Sargent DJ, Patiyil S, Yothers G, et al. End points for colon cancer adjuvant trials: observations and recommendations based on individual patient data from 20,898 patients enrolled onto 18 randomized trials from the ACCENT Group. J Clin Oncol 2007; 25: 4569–74.
- 8 Gill S, Loprinzi CL, Sargent DJ, et al. Pooled analysis of fluorouracil-based adjuvant therapy for stage II and III colon cancer: who benefits and by how much? J Clin Oncol 2004; 22: 1797–806.
- 9 NCCN clinical practice guidelines in Oncology. Colon cancer. National comprehensive cancer network. v3–2011.
- 10 Gray R, Barnwell J, McConkey C, et al. Adjuvant chemotherapy versus observation in patients with colorectal cancer: a randomised study. Lancet 2007; 370: 2020–9.
- 11 Tabernero J, Baselga J. Multigene assays to improve assessment of recurrence risk and benefit from chemotherapy in early-stage colon cancer: has the time finally arrived, or are we still stage locked? J Clin Oncol 2010; 28: 3904–7.
- 12 Van Laar RK. An online gene expression assay for determining adjuvant therapy eligibility in patients with stage 2 or 3 colon cancer. Br J Cancer 2010; 103: 1852–7.
- 13 Salazar R, Roepman P, Capella G, et al. Gene expression signature to improve prognosis prediction of stage II and III colorectal cancer. J Clin Oncol 2011; 29: 17–24.
- 14 Smith JJ, Deane NG, Wu F, et al. Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer. Gastroenterology 2010; 138: 958–68.
- 15 O'Connell MJ, Lavery I, Yothers G, et al. Relationship between tumor gene expression and recurrence in four independent studies of patients with stage II/III colon cancer treated with surgery alone or surgery plus adjuvant fluorouracil plus leucovorin. J Clin Oncol 2010; 28: 3937–44.
- 16 Soriano A, Castells A, Lacy AM, et al. [Evaluation of the efficacy and efficiency of a multidisciplinary unit for the treatment of patients with colorectal cancer]. Gastroenterol Hepatol 2002; 25: 579–84.
- 17 Edge SB, Byrd DR, Carducci MA, et al. AJCC Cancer Staging Manual, 7th edn. New York: Springer, 2009.
- 18 Bohmann K, Hennig G, Rogel U, et al. RNA extraction from archival formalin-fixed paraffin-embedded tissue: a comparison of manual, semiautomated, and fully automated purification methods. Clin Chem 2009; 55: 1719–27.
- 19 Hennig G, Gehrmann M, Stropp U, et al. Automated extraction of DNA and RNA from a single formalin-fixed paraffin-embedded tissue section for analysis of both single-nucleotide polymorphisms and mRNA expression. Clin Chem 2010; 56: 1845–53.
- 20 Jover R, Zapater P, Castells A, et al. Mismatch repair status in the prediction of benefit from adjuvant fluorouracil chemotherapy on colorectal cancer. Gut 2006; 55: 848–55.
- 21 Sargent DJ, Marsoni S, Monges G, et al. Defective mismatch repair as a predictive marker for lack of efficacy of fluorouracil-based adjuvant therapy in colon cancer. J Clin Oncol 2010; 28: 3219–26.
- 22 Xicola RM, Llor X, Pons E, et al. Performance of different microsatellite marker panels for detection of mismatch repair-deficient colorectal tumors. J Natl Cancer Inst 2007; 99: 244–52.
- 23 Piñol V, Castells A, Andreu M, et al. Accuracy of revised Bethesda guidelines, microsatellite instability, and immunohistochemistry for the identification of patients with hereditary nonpolyposis colorectal cancer. JAMA 2005; 293: 1986–94.
- 24
Zhou XH,
Obuchowsky NA,
McClish D.
Statistical methods in diagnostic Medicineed.
San Francisco:
Wiley,
2002.
10.1002/9780470317082 Google Scholar
- 25 Pencina MJ, D'Agostino RB. Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. Stat Med 2004; 23: 2109–23.
- 26 Carrera G, Garcia-Albeniz X, Ayuso JR, et al. Design and endpoints of clinical and translational trials in advanced colorectal cancer. A proposal from GROUP Espanol Multidisciplinar en Cancer Digestivo (GEMCAD). Rev Recent Clin Trials 2011; 6: 158–70.
- 27 Watanabe T, Wu TT, Catalano PJ, et al. Molecular predictors of survival after adjuvant chemotherapy for colon cancer. N Engl J Med 2001; 344: 1196–206.
- 28 Westra JL, Schaapveld M, Hollema H, et al. Determination of TP53 mutation is more relevant than microsatellite instability status for the prediction of disease-free survival in adjuvant-treated stage III colon cancer patients. J Clin Oncol 2005; 23: 5635–43.
- 29 Roth AD, Tejpar S, Delorenzi M, et al. Prognostic role of KRAS and BRAF in stage II and III resected colon cancer: results of the translational study on the PETACC-3, EORTC 40993, SAKK 60-00 trial. J Clin Oncol 2010; 28: 466–74.
- 30 Jen J, Kim H, Piantadosi S, et al. Allelic loss of chromosome 18q and prognosis in colorectal cancer. N Engl J Med 1994; 331: 213–21.
- 31 Popat S, Hubner R, Houlston RS. Systematic review of microsatellite instability and colorectal cancer prognosis. J Clin Oncol 2005; 23: 609–18.
- 32 Gray RG, Quirke P, Handley K, et al. Validation study of a quantitative multigene reverse transcriptase-polymerase chain reaction assay for assessment of recurrence risk in patients with stage II colon cancer. J Clin Oncol 2011; 29: 4611–9.
- 33 Kennedy RD, Bylesjo M, Kerr P, et al. Development and independent validation of a prognostic assay for stage II colon cancer using formalin-fixed paraffin-embedded tissue. J Clin Oncol 2011; 29: 4620–6.
- 34 Yammani RR. S100 proteins in cartilage: role in arthritis. Biochim Biophys Acta 2012; 1822: 600–6.
- 35 Heo SH, Choi YJ, Lee JH, et al. S100A2 level changes are related to human periodontitis. Mol Cells 2011; 32: 445–50.
- 36 McKiernan E, McDermott EW, Evoy D, et al. The role of S100 genes in breast cancer progression. Tumour Biol 2011; 32: 441–50.
- 37 Haase-Kohn C, Wolf S, Lenk J, et al. Copper-mediated cross-linking of S100A4, but not of S100A2, results in proinflammatory effects in melanoma cells. Biochem Biophys Res Commun 2011; 413: 494–8.
- 38 Jin L, Shen Q, Ding S, et al. Immunohistochemical expression of Annexin A2 and S100A proteins in patients with bulky stage IB-IIA cervical cancer treated with neoadjuvant chemotherapy. Gynecol Oncol 2012; 126: 140–6.
- 39 Jamieson NB, Carter CR, McKay CJ, et al. Tissue biomarkers for prognosis in pancreatic ductal adenocarcinoma: a systematic review and meta-analysis. Clin Cancer Res 2011; 17: 3316–31.
- 40 Salama I, Malone PS, Mihaimeed F, et al. A review of the S100 proteins in cancer. Eur J Surg Oncol 2008; 34: 357–64.
- 41 Watanabe T, Kobunai T, Sakamoto E, et al. Gene expression signature for recurrence in stage III colorectal cancers. Cancer 2009; 115: 283–92.
- 42 Zhang L, Fogg DK, Waisman DM. RNA interference-mediated silencing of the S100A10 gene attenuates plasmin generation and invasiveness of Colo 222 colorectal cancer cells. J Biol Chem 2004; 279: 2053–62.
- 43 Wolf S, Haase-Kohn C, Pietzsch J. S100A2 in cancerogenesis: a friend or a foe? Amino Acids 2011; 41: 849–61.
- 44 Mahon PC, Baril P, Bhakta V, et al. S100A4 contributes to the suppression of BNIP3 expression, chemoresistance, and inhibition of apoptosis in pancreatic cancer. Cancer Res 2007; 67: 6786–95.
- 45 Biankin AV, Kench JG, Colvin EK, et al. Expression of S100A2 calcium-binding protein predicts response to pancreatectomy for pancreatic cancer. Gastroenterology 2009; 137: 558–68,68e1–11.
- 46 Yoshida T, Kobayashi T, Itoda M, et al. Clinical omics analysis of colorectal cancer incorporating copy number aberrations and gene expression data. Cancer Inform 2010; 9: 147–61.