Open AccessEffects of somatic alterations at pathway level are more mechanism‐explanatory and clinically applicable to quantity of liver metastases of colorectal cancer
Author(s) -
Zhang Zhongguo,
Ma Fei,
Zhao Shuang,
Yang Xiaoyu,
Liu Fang,
Xue Chenghai,
Liu Liren,
Gu Jin,
Piao Haozhe
Publication year - 2019
Publication title -
cancer medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 53
ISSN - 2045-7634
DOI - 10.1002/cam4.2368
Subject(s) - metastasis , colorectal cancer , somatic cell , microsatellite instability , cancer research , gene , phenotype , cancer , biology , mechanism (biology) , medicine , bioinformatics , microsatellite , genetics , philosophy , allele , epistemology
Background The quantity of metastases lesions is an important reference when it comes to making a more informed treatment decision for patients with colorectal cancer liver metastases. However, the molecular alterations in patients with different numbers of lesions have not been systematically studied. Methods We investigated somatic alterations and microsatellite instability (MSI) of liver metastases from patients with single, multiple or diffuse metastasis lesions. A new algorithm “Pathway Damage Score” was developed to comprehensively assess the functional impact of somatic alterations at the pathway level. Pathogenic pathways of different metastasis were identified and their prognosis effects were evaluated. Furthermore, the subnetworks and affected phenotypes of the altered genes in each pathogenic pathway were analyzed. Results Somatic alterations and altered genes occurred sporadically as well as in MSI state in different metastasis types, although MSS patients had more metastatic lesions than that of the MSI patients. Every metastasis group has their own pathogenic pathways and damaged “Cargo recognition for clathrin‐mediated endocytosis” is significantly associated with poor prognosis ( P < 0.001). Further pathway subnetwork analysis showed that except conventional drivers, other genes could also contribute to metastasis formation. Conclusions Progression of liver metastasis could be driven by the coefficient of all altered genes belonging to the pathways. Thus, compared to somatic alterations and genes, pathway level analysis is more reasonable for functional interpretations of molecular alterations in clinical samples.