Open AccessDissection of gastric cancer heterogeneity for precision oncology
Author(s) -
Ho Shamaine Wei Ting,
Tan Patrick
Publication year - 2019
Publication title -
cancer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.035
H-Index - 141
eISSN - 1349-7006
pISSN - 1347-9032
DOI - 10.1111/cas.14191
Subject(s) - precision oncology , cancer , epigenomics , tumor microenvironment , computational biology , precision medicine , tumor heterogeneity , medicine , confounding , bioinformatics , oncology , biology , pathology , dna methylation , genetics , gene , gene expression
Gastric cancer ( GC ) remains the fifth most prevalent cancer worldwide and the third leading cause of global cancer mortality. Comprehensive ‐omic studies have unveiled a heterogeneous GC landscape, with considerable molecular diversity both between and within tumors. Given the complex nature of GC , a long‐sought goal includes effective identification of distinct patient subsets with prognostic and/or predictive outcomes to enable tailoring of specific treatments (“precision oncology”). In this review, we highlight various approaches to molecular classification in GC , covering recent genomic, transcriptomic, proteomic and epigenomic features. We pay special attention to the translational significance of classifier systems and examine potential confounding factors which deserve further investigation. In particular, we discuss recent advancements in our knowledge of intra‐subtype, intra‐patient and intra‐tumor heterogeneity, and the pivotal role of the tumor stromal microenvironment.