Multiscale heterogeneity in gastric adenocarcinoma evolution is an obstacle to precision medicine
Purpose: Cancer is a somatic evolutionary disease. Using multiregional whole exome sequencing, we tested the effect of somatic evolution on intratumoral heterogeneity and its putative clinical and biological implications in adenocarcinomas of the stomach and gastroesophageal junction (GC).
Patients and Methods: The study comprised a prospective discovery cohort of 9 and a validation cohort of 463 GCs. Multiregional whole-exome sequencing was done using 48 tumor samples (range: 3-10 tumor samples/patient) of the discovery cohort.
Results: In total, the discovery cohort harbored 16,537 non-synonymous mutations (mutations/sample: median n=159; mutations/patient: median n=369). Intratumoral heterogeneity of somatic mutations and copy number variants were present in all tumors of the discovery cohort. 53-91% of the non-synonymous mutations were not present in each patient’s sample; 399 genes harbored 2-4 different non-synonymous mutations in the same patient; 175 genes showed copy number variations, the majority being heterogeneous, including CD274 (PD-L1). Multi-sample tree-based analyses provided evidence for branched evolution being most complex in a microsatellite instable GC. The analysis of the mode of evolution showed a high degree of heterogeneity in deviation from neutrality within each tumor. Studies on the validation cohort showed that the subclonal loss of SMAD4 is an independent predictor for poor patient outcome in Caucasian patients.
Conclusions: Neutral and non-neutral somatic evolution shape the mutational landscape in GC. It leads to complex spatial intratumoral heterogeneity and may have profound effects on patient management. It provides crucial information for an individualized understanding of clinical prognosis and therapeutic options in GC patients.
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Supplemental Results and Figures
Supplemental Table 1 Primer sequences used for Sanger sequencing, pyrosequencing and ddPCR™.
Supplemental Table 2 Sanger sequencing, pyrosequencing and ddPCR™ were used to validate single nucleotide variations detected by whole exome sequencing.
Supplemental Table 3 Sequencing statistics.
Supplemental Table 4 List of non-synonymous mutations found in the discovery cohort.
Supplemental Table 5 List of synonymous mutations found in the discovery cohort.
Supplemental Table 6 List of cancer cell fraction (CCF) non-synonymous mutations
Supplemental Table 7 List of purity- and ploidy status of the discovery cohort
Supplemental Table 8 List of genes with ≥2 non-synonymous mutations per case.
Supplemental Table 9 List of genes with non-synonymous mutations present in the primary tumor of case #5 and its lymph node metastases.
Supplemental Table 10 Comparison of the prevalence of the single nucleotide variations discovered in our test cohort with published data on gastric cancer (3,5,7,53).
Supplemental Table 11 List of genes with non-synonymous mutations present in ≥2 gastric cancers of the discovery cohort.
Supplemental Table 12 Distribution of the copy number variants (CNVs), i.e. homozygous or heterozygous deletion and amplification among the 48 tumor samples of the discovery cohort.
Supplemental Table 13 Pathway analysis including copy number variation on the discovery cohort.
Supplemental Table 13 Multivariate analysis
Posted 21 Sep, 2020
Multiscale heterogeneity in gastric adenocarcinoma evolution is an obstacle to precision medicine
Posted 21 Sep, 2020
Purpose: Cancer is a somatic evolutionary disease. Using multiregional whole exome sequencing, we tested the effect of somatic evolution on intratumoral heterogeneity and its putative clinical and biological implications in adenocarcinomas of the stomach and gastroesophageal junction (GC).
Patients and Methods: The study comprised a prospective discovery cohort of 9 and a validation cohort of 463 GCs. Multiregional whole-exome sequencing was done using 48 tumor samples (range: 3-10 tumor samples/patient) of the discovery cohort.
Results: In total, the discovery cohort harbored 16,537 non-synonymous mutations (mutations/sample: median n=159; mutations/patient: median n=369). Intratumoral heterogeneity of somatic mutations and copy number variants were present in all tumors of the discovery cohort. 53-91% of the non-synonymous mutations were not present in each patient’s sample; 399 genes harbored 2-4 different non-synonymous mutations in the same patient; 175 genes showed copy number variations, the majority being heterogeneous, including CD274 (PD-L1). Multi-sample tree-based analyses provided evidence for branched evolution being most complex in a microsatellite instable GC. The analysis of the mode of evolution showed a high degree of heterogeneity in deviation from neutrality within each tumor. Studies on the validation cohort showed that the subclonal loss of SMAD4 is an independent predictor for poor patient outcome in Caucasian patients.
Conclusions: Neutral and non-neutral somatic evolution shape the mutational landscape in GC. It leads to complex spatial intratumoral heterogeneity and may have profound effects on patient management. It provides crucial information for an individualized understanding of clinical prognosis and therapeutic options in GC patients.
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Figure 4
Figure 5