Identification of Risk Molecular Subtype of Colon Cancer with Lymphovascular Invasion

(E-pub Abstract Ahead of Print)

Author(s): Qing Jin, Binhua Liang, Xiujie Chen*, Huiwen Liu*

Journal Name: Current Bioinformatics

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Background: Although surgical resection generally yields excellent outcomes, a part of colon cancer patients still have relapse or metastasis after surgery. Adjuvant chemotherapy in tumor stage III has been demonstrated to eradicate micrometastasis and improve survival, whereas the benefits of adjuvant chemotherapy in tumor stage II remain controversial. The leading cause is the lack of understanding of the molecular basis of underlying metastatic mechanisms.

Objective: The aim of this study was to identify molecular subtype(s) of colon cancer with a high risk for metastasis and provide potential biomarkers for prognostic prediction in tumor stage II.

Method: Based on the assumption that colon cancer evolves due to the stepwise accumulation of a series of genetic mutations, we performed a systematic investigation on the molecular basis of colon cancer by applying restart random walk on the PPI network. To compare the functional similarity of patients, we extracted mutation-propagating modules of each patient and calculated their enrichment score in 50 hallmark gene sets. According to the functional similarity matrix, we classified colon cancers with positive lymphovascular invasion and the prognosis of molecular subtypes. We determined the molecular characteristics of subtypes by conducting an enrichment analysis of subtype-specific genetic mutations. Additionally, we identified potential biomarkers for predicting patients with a high risk for metastasis in stage II through differential analysis of miRNA expression profile of subtypes. Then, we used two independent data sets to construct a random forest classifier and performed 10-fold cross-validation of miRNA biomarkers.

Results: Firstly, we identified two molecular subtypes of colon cancer with positive lymphovascular invasion as well as their associated biological characteristics: LVI1=Canonical subtype (110, 85%); LVI2=Metastatic subtype (20, 15%). Secondly, we identified 11 miRNA biomarkers for predicting patients with a high risk for metastasis in tumor stage II.

Conclusion: Our findings put forward a detailed classification of colon cancer and provided risk biomarkers for stage II patients to determine whether to take adjuvant chemotherapy after surgery.

Keywords: Colorectal cancer, Lymphovascular invasion, metastasis, network propagation, molecular subtype, biomarker.

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Article Details

(E-pub Abstract Ahead of Print)
DOI: 10.2174/1574893616666210531101550
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