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Combining aneuploidy and dysplasia for colitis’ cancer risk assessment outperforms current surveillance efficiency: a meta-analysis

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International Journal of Colorectal Disease Aims and scope Submit manuscript

Abstract

Purpose

Cancer risk assessment for ulcerative colitis patients by evaluating histological changes through colonoscopy surveillance is still challenging. Thus, additional parameters of high prognostic impact for the development of colitis-associated carcinoma are necessary. This meta-analysis was conducted to clarify the value of aneuploidy as predictor for individual cancer risk compared with current surveillance parameters.

Methods

A systematic web-based search identified studies published in English that addressed the relevance of the ploidy status for individual cancer risk during surveillance in comparison to neoplastic mucosal changes. The resulting data were included into a meta-analysis, and odds ratios (OR) were calculated for aneuploidy or dysplasia or aneuploidy plus dysplasia.

Results

Twelve studies addressing the relevance of aneuploidy compared to dyplasia were comprehensively evaluated and further used for meta-analysis. The meta-analysis revealed that aneuploidy (OR 5.31 [95 % CI 2.03, 13.93]) is an equally effective parameter for cancer risk assessment in ulcerative colitis patients as dysplasia (OR 4.93 [1.61, 15.11]). Strikingly, the combined assessment of dysplasia and aneuploidy is superior compared to applying each parameter alone (OR 8.99 [3.08, 26.26]).

Conclusions

This meta-analysis reveals that aneuploidy is an equally effective parameter for individual cancer risk assessment in ulcerative colitis as the detection of dysplasia. More important, the combined assessment of dysplasia and aneuploidy outperforms the use of each parameter alone. We suggest image cytometry for ploidy assessment to become an additional feature of consensus criteria to individually assess cancer risk in UC.

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Acknowledgments

This study was conducted in connection to the North German Tumor Bank of Colorectal Cancer (ColoNet), generously supported by the German Cancer Aid Foundation (DKH e.V. #108446). Rüdiger Meyer is supported by a Mildred Scheel postdoctoral scholarship of the German Cancer Aid.

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Authors and Affiliations

  1. Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany

    Rüdiger Meyer, Silke Blindow & Jens K. Habermann

  2. Section of Cancer Genomics, Genetics Branch, National Cancer Institute, National Institutes of Health, 50 South Drive, Bethesda, MD, 20892, USA

    Rüdiger Meyer

  3. Institute of Medical Informatics and Statistics, University Medical Center Schleswig-Holstein, Campus Kiel, Brunswiker Straße 10, 24105, Kiel, Germany

    Sandra Freitag-Wolf

  4. Unit of Gastroenterology, Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany

    Jürgen Büning

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  1. Rüdiger Meyer
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  2. Sandra Freitag-Wolf
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  4. Jürgen Büning
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Correspondence to Jens K. Habermann.

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Meyer, R., Freitag-Wolf, S., Blindow, S. et al. Combining aneuploidy and dysplasia for colitis’ cancer risk assessment outperforms current surveillance efficiency: a meta-analysis. Int J Colorectal Dis 32, 171–182 (2017). https://doi.org/10.1007/s00384-016-2684-5

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