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Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer
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Sirinukunwattana, Korsuk, Snead, David, Epstein, D. B. A., Aftab, Zia, Mujeeb, Imaad, Tsang, Yee Wah, Cree, Ian A. and Rajpoot, Nasir M. (2018) Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer. Scientific Reports, 8 (1). 13692 . doi:10.1038/s41598-018-31799-3 ISSN 2045-2322.
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Official URL: https://doi.org/10.1038/s41598-018-31799-3
Abstract
Distant metastasis is the major cause of death in colorectal cancer (CRC). Patients at high risk of developing distant metastasis could benefit from appropriate adjuvant and follow-up treatments if stratified accurately at an early stage of the disease. Studies have increasingly recognized the role of diverse cellular components within the tumor microenvironment in the development and progression of CRC tumors. In this paper, we show that automated analysis of digitized images from locally advanced colorectal cancer tissue slides can provide estimate of risk of distant metastasis on the basis of novel tissue phenotypic signatures of the tumor microenvironment. Specifically, we determine what cell types are found in the vicinity of other cell types, and in what numbers, rather than concentrating exclusively on the cancerous cells. We then extract novel tissue phenotypic signatures using statistical measurements about tissue composition. Such signatures can underpin clinical decisions about the advisability of various types of adjuvant therapy.
Item Type: | Journal Article | ||||||
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Subjects: | R Medicine > RC Internal medicine | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science Faculty of Science, Engineering and Medicine > Science > Mathematics |
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Library of Congress Subject Headings (LCSH): | Colon (Anatomy) -- Cancer -- Diagnosis, Rectum -- Cancer -- Diagnosis, Metastasis | ||||||
Journal or Publication Title: | Scientific Reports | ||||||
Publisher: | Nature Publishing Group | ||||||
ISSN: | 2045-2322 | ||||||
Official Date: | 12 September 2018 | ||||||
Dates: |
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Volume: | 8 | ||||||
Number: | 1 | ||||||
Article Number: | 13692 | ||||||
DOI: | 10.1038/s41598-018-31799-3 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | Published source must be acknowledged and DOI cited | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 17 August 2018 | ||||||
Date of first compliant Open Access: | 18 September 2018 | ||||||
RIOXX Funder/Project Grant: |
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