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KCNQ1 and lymphovascular invasion are key features in a prognostic classifier for stage II and III colon cancer.
Uil, Sjoerd H; Coupé, Veerle M H; Bril, Herman; Meijer, Gerrit A; Fijneman, Remond J A; Stockmann, Hein B A C.
Afiliación
  • Uil SH; Department of Surgery, Spaarne Gasthuis, Boerhaavelaan 22, 2035 RC, Haarlem, The Netherlands.
  • Coupé VMH; Department of Epidemiology and Data Science, Amsterdam University Medical Center, de Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands.
  • Bril H; Department of Pathology, Spaarne Gasthuis, Boerhaavelaan 22, 2035 RC, Haarlem, The Netherlands.
  • Meijer GA; Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
  • Fijneman RJA; Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands. r.fijneman@nki.nl.
  • Stockmann HBAC; Department of Surgery, Spaarne Gasthuis, Boerhaavelaan 22, 2035 RC, Haarlem, The Netherlands.
BMC Cancer ; 22(1): 372, 2022 Apr 08.
Article en En | MEDLINE | ID: mdl-35395779
ABSTRACT

BACKGROUND:

The risk of recurrence after resection of a stage II or III colon cancer, and therefore qualification for adjuvant chemotherapy (ACT), is traditionally based on clinicopathological parameters. However, the parameters used in clinical practice are not able to accurately identify all patients with or without minimal residual disease. Some patients considered 'low-risk' do develop recurrence (undertreatment), whilst other patients receiving ACT might not have developed recurrence at all (overtreatment). We previously analysed tumour tissue expression of 28 protein biomarkers that might improve identification of patients at risk of recurrence. In the present study we aimed to build a prognostic classifier based on these 28 biomarkers and clinicopathological parameters.

METHODS:

Classification and regression tree (CART) analysis was used to build a prognostic classifier based on a well described cohort of 386 patients with stage II and III colon cancer. Separate classifiers were built for patients who were or were not treated with ACT. Routine clinicopathological parameters and tumour tissue immunohistochemistry data were included, available for 28 proteins previously published. Classification trees were pruned until lowest misclassification error was obtained. Survival of the identified subgroups was analysed, and robustness of the selected CART variables was assessed by random forest analysis (1000 trees).

RESULTS:

In patients not treated with ACT, prognosis was estimated best based on expression of KCNQ1. Poor disease-free survival (DFS) was observed in those with loss of expression of KCNQ1 (HR = 3.38 (95% CI 2.12 - 5.40); p < 0.001). In patients treated with ACT, key prognostic factors were lymphovascular invasion (LVI) and expression of KCNQ1. Patients with LVI showed poorest DFS, whilst patients without LVI and high expression of KCNQ1 showed most favourable survival (HR = 7.50 (95% CI 3.57-15.74); p < 0.001). Patients without LVI and loss of expression of KCNQ1 had intermediate survival (HR = 3.91 (95% CI 1.76 - 8.72); p = 0.001).

CONCLUSION:

KCNQ1 and LVI were identified as key features in prognostic classifiers for disease-free survival in stage II and III colon cancer patients.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias del Colon / Canal de Potasio KCNQ1 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Cancer Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias del Colon / Canal de Potasio KCNQ1 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Cancer Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos