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Identification of histological features to predict MUC2 expression in colon cancer tissues

Periyakoil, Preethi and Clarke, Michael F. and Sahoo, Debashis (2019) Identification of histological features to predict MUC2 expression in colon cancer tissues. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190321-135211947

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Abstract

Colorectal cancer (CRC) is the third-most common form of cancer among Americans. Like normal colon tissue, CRC cells are sustained by a subpopulation of “stem cells” that possess the ability to self-renew and differentiate into more specialized cancer cell types. In normal colon tissue, the enterocytes, goblet cells and other epithelial cells in the mucosa region have distinct morphologies that distinguish them from the other cells in the lamina propria, muscularis mucosa, and submucosa. However, in a tumor, the morphology of the cancer cells varies dramatically. Cancer cells that express genes specific to goblet cells significantly differ in shape and size compared to their normal counterparts. Even though a large number of hematoxylin and eosin (H&E)-stained sections and the corresponding RNA sequencing (RNASeq) data from CRC are available from The Cancer Genome Atlas (TCGA), prediction of gene expression patterns from tissue histological features has not been attempted yet. In this manuscript, we identified histological features that are strongly associated with MUC2 expression patterns in a tumor. Specifically, we show that large nuclear area is associated with MUC2-high tumors (p < 0.001). This discovery provides insight into cancer biology and tumor histology and demonstrates that it may be possible to predict certain gene expressions from histological features.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://doi.org/10.1101/584292DOIDiscussion Paper
ORCID:
AuthorORCID
Periyakoil, Preethi0000-0001-7923-5571
Additional Information:The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license. bioRxiv preprint first posted online Mar. 21, 2019. This study was supported by following three institutions: The California Institute of Technology; Stanford University; University of California, San Diego. This work was supported by the National Institutes of Health (NIH) grant #R00-CA151673 to DS, 2017 Padres Pedal the Cause / Rady Children's Hospital Translational PEDIATRIC Cancer Research Award to DS, 2017 Padres Pedal the Cause /C3 Collaborative Translational Cancer Research Award to DS.
Funders:
Funding AgencyGrant Number
CaltechUNSPECIFIED
Stanford UniversityUNSPECIFIED
University of California, San DiegoUNSPECIFIED
NIHR00-CA151673
Rady Children's HospitalUNSPECIFIED
Padres Pedal the CauseUNSPECIFIED
Record Number:CaltechAUTHORS:20190321-135211947
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190321-135211947
Official Citation:Identification of histological features to predict MUC2 expression in colon cancer tissues. Preethi Kasthuri Periyakoil, Michael Clarke, Debashis Sahoo bioRxiv 584292; doi: https://doi.org/10.1101/584292
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94027
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:21 Mar 2019 21:47
Last Modified:03 Oct 2019 21:00

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