Unstable genome and transcriptome dynamics during tumor metastasis contribute to therapeutic heterogeneity in colorectal cancers.

Sung-Yup Cho
Jeesoo Chae
Deukchae Na
Wonyoung Kang
Ahra Lee
Seoyeon Min
Jinjoo Kang
Boram Choi
Jieun Lee
Chang Ohk Sung
Jeffrey Chuang, The Jackson Laboratory
Charles Lee, The Jackson Laboratory
Won-Suk Lee
Hansoo Park
Jong-Il Kim


PURPOSE: Genomic and transcriptomic alterations during metastasis are considered to affect clinical outcome of colorectal cancers (CRCs), but detailed clinical implications of metastatic alterations are not fully uncovered. We aimed to investigate the effect of metastatic evolution on in vivo treatment outcome, and identify genomic and transcriptomic alterations associated with drug responsiveness.

EXPERIMENTAL DESIGN: We developed and analyzed patient-derived xenograft (PDX) models from 35 CRC patients including five patients with multiple organ metastases (MOMs). We performed whole-exome, DNA methylation and RNA sequencing for patient and PDX tumors. With samples from patients with MOMs, we conducted phylogenetic and subclonal analysis and in vivo drug efficacy test on the corresponding PDX models.

RESULTS: Phylogenetic analysis using mutation, expression and DNA methylation data in patients with MOMs showed that mutational alterations were closely connected with transcriptomic and epigenomic changes during the tumor evolution. Subclonal analysis revealed that initial primary tumors with larger number of subclones exhibited more dynamic changes in subclonal architecture according to metastasis, and loco-regional and distant metastases occurred in a parallel or independent fashion. The PDX models from MOMs demonstrated therapeutic heterogeneity for targeted treatment, due to subclonal acquisition of additional mutations or transcriptomic activation of bypass signaling pathway during tumor evolution.

CONCLUSIONS: This study demonstrated in vivo therapeutic heterogeneity of CRCs using PDX models, and suggests that acquired subclonal alterations in mutations or gene expression profiles during tumor metastatic processes can be associated with the development of drug resistance and therapeutic heterogeneity of CRCs.