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Published on: May 10, 2024
Molecular evolutionary process of advanced gastric cancer during sequential chemotherapy detected by circulating
Wenqi Xi1, Chenfei Zhou1,2, Fei Xu3
1Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin er Road, Shanghai, 200025, China.
Background:
Efficacy of conventional sequential chemotherapy paradigm for advanced gastric cancer (AGC) patients has largely plateaued. Dynamic molecular changes during and after sequential chemotherapy have not been fully delineated. We aimed to profile the molecular evolutionary process of AGC patients during sequential chemotherapy by next generation sequencing (NGS) of plasma circulating tumor DNA (ctDNA).
Methods:
A total of 30 chemo-naïve patients who were diagnosed with unresectable advanced or metastatic stomach adenocarcinoma were enrolled. All patients received sequential chemotherapy regimens following the clinical guideline. One hundred and eight serial peripheral blood samples were collected at baseline, radiographical assessment and disease progression. Plasma ctDNA was isolated and a customized NGS panel was used to detect the genomic features of ctDNA including single nucleotide variants (SNVs) and gene-level copy number variations (CNVs). KEGG pathway enrichment analysis was performed.
Results:
Platinum-based combination chemotherapy was administrated as first-line regimen. Objective response rate was 50% (15/30). Patients with higher baseline values of copy number instability (CNI), CNVs and variant allel frequency (VAF) were more sensitive to platinum-based first-line regimens. Tumor mutation burden (TMB), CNI and CNV burden at partial response and stable disease were significantly lower than those at baseline, where at progressive disease they recovered to baseline levels. Dynamic change of TMB (ΔTMB) was correlated with progression-free survival of first-line treatment. Fluctuating changes of SNVs and gene-level CNVs could be observed during sequential chemotherapy. Under the pressure of conventional chemotherapy, the number of novel gene-level CNVs were found to be higher than that of novel SNVs. Such novel molecular alterations could be enriched into multiple common oncologic signaling pathways, including EGFR tyrosine kinase inhibitor resistance and platinum drug resistance pathways, where their distributions were found to be highly heterogenous among patients. The impact of subsequent regimens, including paclitaxel-based and irinotecan-based regimens, on the molecular changes driven by first-line therapy was subtle.
Conclusion:
Baseline and dynamic changes of genomic features of ctDNA could be biomarkers for predicting response of platinum-based first-line chemotherapy in AGC patients. After treatment with standard chemotherapy regimens, convergent oncologic pathway enrichment was identified, which is yet characterized by inter-patient heterogenous gene-level CNVs.
Insights
Genomic profiling of circulating tumor DNA in advanced gastric cancer patients reveals dynamic molecular changes during chemotherapy. Baseline ctDNA features can predict treatment response, with evolving alterations impacting drug resistance pathways.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Conventional chemotherapy for advanced gastric cancer (AGC) shows limited efficacy.
- Molecular changes during sequential chemotherapy in AGC are not fully understood.
Purpose of the Study:
- To profile the molecular evolution of AGC patients during sequential chemotherapy using next-generation sequencing (NGS) of plasma circulating tumor DNA (ctDNA).
Main Methods:
- 30 chemo-naïve AGC patients received sequential chemotherapy.
- Serial plasma ctDNA samples were analyzed using NGS for single nucleotide variants (SNVs) and copy number variations (CNVs).
- KEGG pathway enrichment analysis was performed.
Main Results:
- Higher baseline copy number instability (CNI), CNVs, and variant allele frequency (VAF) correlated with better response to platinum-based chemotherapy.
- Tumor mutation burden (TMB), CNI, and CNV burden decreased during treatment and recovered at progression.
- Dynamic changes in SNVs and CNVs were observed, with novel CNVs enriching in resistance pathways.
Conclusions:
- Baseline and dynamic ctDNA genomic features can predict platinum-based chemotherapy response in AGC.
- Chemotherapy induces convergent oncologic pathway enrichment, characterized by heterogeneous CNVs.
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