Literature DB >> 19298137

Endoscopy, morphology, morphometry and molecular markers: predicting cancer risk in colorectal adenoma.

Kjetil Søreide1, Bjørn S Nedrebø, Andreas Reite, Kenneth Thorsen, Hartwig Kørner.   

Abstract

The evaluation of short- and long-term risk for developing cancer in patients with colorectal adenomas is controversial. Good, reliable predictors of cancer risk in any adenoma are currently lacking and are limited to adenoma size, number and histologic type. In fact, the evaluation of any adenoma or precancer lesion (e.g., hyperplastic polyps, serrated adenoma or aberrant crypt foci) within the colorectum may be assessed by a number of techniques ranging from direct visualization through the endoscope, to microscopic assessment, and to evaluation at the molecular level. Emerging techniques may yield improved methods of adenoma risk-assessment in the near future. For one, newer endoscopy technologies include chromoendoscopy or endocytoscopy, which now render endoscopists able to resolve the surface and subsurface mucosa at cellular resolution in vivo and in real time - thus, bringing the microscope to the patient's bedside. This new era in endoscopic imaging is dubbed 'histoendoscopy'. Further, while traditional views of classifying protruding and sessile lesions include those of Haggitt, the sm-classification, the Japanese and the so-called Vienna classifications to evaluate neoplasia, the development of new molecular techniques may give way to new methods of classifying preneoplasia and precancerous lesions. This review discusses some pros and cons of risk evaluation technologies in the colorectal tract by endoscopy, microscopy, and quantitative and molecular features. The morphometry-based studies performed over the past decades for the quantitative assessment of cellular and nuclear features within adenomas have failed to yield results amenable for clinical translation and are unlikely to improve further and gain widespread use with current technology. Rather, emerging knowledge of pathway-specific markers through the outlining of a molecular classification will likely be the basis for improved detection and diagnosis. The emerging genomic and proteomic technologies allowing for noninvasive tests to detect (asymptomatic) cancer and neoplasia are discussed. Lastly, the importance of recognizing bias and pitfalls and the adherence to guidelines for biomarker research are addressed.

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Year:  2009        PMID: 19298137     DOI: 10.1586/14737159.9.2.125

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  4 in total

Review 1.  Application of optical imaging and spectroscopy to radiation biology.

Authors:  Gregory M Palmer; Karthik Vishwanath; Mark W Dewhirst
Journal:  Radiat Res       Date:  2012-02-23       Impact factor: 2.841

2.  Morphometric evaluation and clinical correlations in pediatric malignant small round cell tumors.

Authors:  Cherry Bansal; Archana Gupta; Archana Kumar; Anand Srivastava
Journal:  Indian J Med Paediatr Oncol       Date:  2014-10

3.  Automated Classification and Segmentation in Colorectal Images Based on Self-Paced Transfer Network.

Authors:  Yao Yao; Shuiping Gou; Ru Tian; Xiangrong Zhang; Shuixiang He
Journal:  Biomed Res Int       Date:  2021-01-20       Impact factor: 3.411

4.  Histopathological features for coexistent invasive cancer in large colorectal adenomatous polyps.

Authors:  A Emmanuel; A Haji; S Gulati; J Moorhead; S Papagrigoriadis; B Hayee; S Diaz-Cano
Journal:  BJS Open       Date:  2021-05-07
  4 in total

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