L1CAM in Early-Stage Type I Endometrial Cancer: Results of a Large Multicenter Evaluation

Alain G. Zeimet(Medical University of Graz), Daniel Reimer(Medical University of Graz), Monica Huszar(Medical University of Graz), Boris Winterhoff(University Hospital Heidelberg), Ulla Puistola(Radboud University Nijmegen), Samira Abdel Azim(Heidelberg University), Elisabeth Müller‐Holzner(German Cancer Research Center), Alon Ben‐Arie(University Hospital Heidelberg), Léon C.L.T. van Kempen(German Cancer Research Center), Edgar Petru(Medical University of Vienna), Stephan Jahn(Innsbruck Medical University), Yvette P. Geels(Medical University of Vienna), Leon F.A.G. Massuger(German Cancer Research Center), Frédéric Amant(German Cancer Research Center), Stephan Polterauer(Radboud University Nijmegen), Elisa Lappi‐Blanco(Radboud University Nijmegen), Johan Bulten(Medical University of Vienna), Alexandra Meuter(Innsbruck Medical University), Staci Tanouye(Innsbruck Medical University), Peter Oppelt(Radboud University Nijmegen), Monika Stroh-Weigert(University Hospital Heidelberg), Alexander Reinthaller(Medical University of Graz), Andrea Mariani(Heidelberg University), Werner O. Hackl(Radboud University Nijmegen), Michael Netzer(Innsbruck Medical University), Uwe Schirmer(Medical University of Graz), Ignace Vergote(German Cancer Research Center), Peter Altevogt(Medical University of Vienna), Christian Marth(German Cancer Research Center), Mina Fogel(Medical University of Vienna)
JNCI Journal of the National Cancer Institute
June 18, 2013
Cited by 231

Abstract

BACKGROUND: Despite the excellent prognosis of Fédération Internationale de Gynécologie et d'Obstétrique (FIGO) stage I, type I endometrial cancers, a substantial number of patients experience recurrence and die from this disease. We analyzed the value of immunohistochemical L1CAM determination to predict clinical outcome. METHODS: We conducted a retrospective multicenter cohort study to determine expression of L1CAM by immunohistochemistry in 1021 endometrial cancer specimens. The Kaplan-Meier method and Cox proportional hazard model were applied for survival and multivariable analyses. A machine-learning approach was used to validate variables for predicting recurrence and death. RESULTS: Of 1021 included cancers, 17.7% were rated L1CAM-positive. Of these L1CAM-positive cancers, 51.4% recurred during follow-up compared with 2.9% L1CAM-negative cancers. Patients bearing L1CAM-positive cancers had poorer disease-free and overall survival (two-sided Log-rank P < .001). Multivariable analyses revealed an increase in the likelihood of recurrence (hazard ratio [HR] = 16.33; 95% confidence interval [CI] = 10.55 to 25.28) and death (HR = 15.01; 95% CI = 9.28 to 24.26). In the L1CAM-negative cancers FIGO stage I subdivision, grading and risk assessment were irrelevant for predicting disease-free and overall survival. The prognostic relevance of these parameters was related strictly to L1CAM positivity. A classification and regression decision tree (CRT)identified L1CAM as the best variable for predicting recurrence (sensitivity = 0.74; specificity = 0.91) and death (sensitivity = 0.77; specificity = 0.89). CONCLUSIONS: To our knowledge, L1CAM has been shown to be the best-ever published prognostic factor in FIGO stage I, type I endometrial cancers and shows clear superiority over the standardly used multifactor risk score. L1CAM expression in type I cancers indicates the need for adjuvant treatment. This adhesion molecule might serve as a treatment target for the fully humanized anti-L1CAM antibody currently under development for clinical use.


Related Papers

No related papers found

Powered by citation graph analysis