Multiscale heterogeneity in gastric adenocarcinoma evolution is an obstacle to precision medicine.
Christoph RoeckenAnu AmallrajaChristine HalskeLuka OpasicArne TraulsenHans-Michael BehrensSandra KrügerAnne LiuJochen HaagJan-Hendrik EgbertsPhilip RosenstielTobias MeißnerPublished in: Genome medicine (2021)
Neutral and non-neutral somatic evolution shape the mutational landscape in GC along its lateral expansions. It leads to complex spatial intratumoral heterogeneity, where lymph node metastases may stem from different areas of the primary tumor, synchronously. Our findings may have profound effects on future patient management. They illustrate the risk of mis-interpreting tumor genetics based on single-sample analysis and open new avenues for an evolutionary classification of GC, i.e., the discovery of distinct evolutionary trajectories which can be utilized for precision medicine.
Keyphrases
- lymph node
- single cell
- minimally invasive
- genome wide
- squamous cell carcinoma
- machine learning
- case report
- depressive symptoms
- deep learning
- neoadjuvant chemotherapy
- high throughput
- gas chromatography
- copy number
- intellectual disability
- autism spectrum disorder
- radiation therapy
- dna methylation
- locally advanced
- healthcare
- early stage
- mass spectrometry
- rectal cancer