Journal
WORLD JOURNAL OF GASTROENTEROLOGY
Volume 25, Issue 23, Pages 2887-2897Publisher
BAISHIDENG PUBLISHING GROUP INC
DOI: 10.3748/wjg.v25.i23.2887
Keywords
Early colorectal cancer; Bowel cancer screening; Local resection; Major resection; Morphological risk factors; Conventional histopathology parameters; Novel histopathology parameters; Risk stratification models; Digital pathology
Categories
Funding
- Yorkshire Cancer Research
- National Institute for Health Research
- Pelican Cancer Foundation
- Pathological Society of Great Britain and Ireland
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Through the implementation of national bowel cancer screening programmes we have seen a three-fold increase in early pT1 colorectal cancers, but how these lesions should be managed is currently unclear. Local excision can be an attractive option, especially for fragile patients with multiple comorbidities, but it is only safe from an oncological point of view in the absence of lymph node metastasis. Patient risk stratification through careful analysis of histopathological features in local excision or polypectomy specimens should be performed according to national guidelines to avoid under- or over-treatment. Currently national guidelines vary in their recommendations as to which factors should be routinely reported and there is no established multivariate risk stratification model to determine which patients should be offered major resectional surgery. Conventional histopathological parameters such as tumour grading or lymphovascular invasion have been shown to be predictive of lymph node metastasis in a number of studies but the inter- and intra-observer variation in reporting is high. Newer parameters including tumour budding and poorly differentiated clusters have been shown to have great potential, but again some improvement in the inter-observer variation is required. With the implementation of digital pathology into clinical practice, quantitative parameters like depth/area of submucosal invasion and proportion of stroma can be routinely assessed. In this review we present the various histopathological risk factors for predicting systemic spread in pT1 colorectal cancer and introduce potential novel quantitative variables and multivariable risk models that could be used to better define the optimal treatment of this increasingly common disease.
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