| Literature DB >> 35323320 |
Lisa Paschold1, Mascha Binder1.
Abstract
Tumor cells shed DNA into the plasma. "Liquid biopsy" analysis of mutations or other genomic alterations in circulating cell-free DNA (cfDNA) may provide us with a tool to detect minimal residual cancer, comprehensively profile the genomic tumor landscape in search of druggable targets, and monitor cancers non-invasively over time for treatment failure or emerging treatment-resistant tumor subclones. While liquid biopsies have not yet entered routine clinical management in patients with gastric and gastroesophageal junction cancers, this group of diseases may benefit from such advanced diagnostic tools due to their pronounced genetic spatiotemporal heterogeneity and limitations in imaging sensitivity. Moreover, as the armamentarium of targeted treatment approaches and immunotherapies expands, cfDNA analyses may reveal their utility not only as a biomarker of response but also for precision monitoring. In this review, we discuss the different applications of cfDNA analyses in patients with gastric and gastroesophageal junction cancer and the technical challenges that such liquid biopsies have yet to overcome.Entities:
Keywords: cell-free DNA (cfDNA); gastric adenocarcinoma; gastroesophageal junction cancer; liquid biopsy; monitoring; prognostication; resistance
Mesh:
Substances:
Year: 2022 PMID: 35323320 PMCID: PMC8947276 DOI: 10.3390/curroncol29030120
Source DB: PubMed Journal: Curr Oncol ISSN: 1198-0052 Impact factor: 3.677
Figure 1Schematic presentation of the potential applications of cfDNA profiling in gastric and gastroesophageal cancer. The sensitivity level indicates the minimal allele frequency (%) of a mutation that can be detected with the respective method. RT-PCR = real-time PCR; NGS = next-generation sequencing; ddPCR = digital droplet PCR; BEAMing = beads, emulsion, amplification, magnetics digital PCR technique; UMI = unique molecular identifier, CAPP-seq = cancer personalized profiling by deep sequencing.
Studies with comparative analysis of genomic profiling using liquid biopsy and matched tissue biopsy in gastric cancer.
| Author | Cohort | Target | Sample Size | Result |
|---|---|---|---|---|
| Parikh et al., 2019 [ | Patients with molecularly defined gastrointestinal cancers and acquired resistance to targeted therapy | Targeted NGS, multiple cancer-specific genes | 23 | Clinically relevant resistance alterations are more frequently identified from cfDNA |
| Wang et al., 2018 [ | Patients with advanced gastric cancer before medication | HER2 amplification | 56 | 91.1% concordance of ctDNA and tumor tissue |
| Schrock et al., 2018 [ | Patients with gastrointestinal carcinomas | Hybrid capture-based genomic profiling of 62 genes | 25 | 86% of mutations detected in tissue were also detected in matched ctDNA and, conversely, 63% of mutations found in ctDNA were also found in tissue |
| Pectasides et al., 2018 [ | Patients with newly diagnosed metastatic gastric and esophageal adenocarcinomas | Mixed | 28 | 87.5% concordance for targetable alterations in cfDNA and metastatic tissue of discordant primary and metastatic lesions |
| Lee et al., 2019 [ | Patients with metastatic gastric cancer | Hybrid capture NGS of MET amplification | 19 | 89.5% concordance rate between ctDNA and tumor, 100% concordance rate when patients without detectable ctDNA levels were excluded |
Key studies on liquid biopsy applications in gastric and gastroesophageal cancer *.
| Cancer Entity | Technique | Conclusions | Reference |
|---|---|---|---|
| Resected GC | Targeted NGS of cfDNA | Mutant cfDNA correlates with tumor stage and post-operative positivity is prognostically adverse. | [ |
| Resected GEA | Targeted NGS of cfDNA | In locoregional gastric cancer, patients treated with curative intent cfDNA-detected MRD identifies patients at high risk for recurrence | [ |
| Resected and metastatic GEA | Targeted NGS of cfDNA | Post-operative MRD predicted short relapse-free survival. High mutation load at the diagnosis of metastatic disease predicted poor survival. | [ |
| Resected and metastatic GEA | Targeted NGS of cfDNA | Patients with locally advanced disease and detectable mutations in cfDNA postoperatively experienced adverse outcomes. Liquid biopsies and matched tissue biopsies demonstrate significant heterogeneity and may therefore give complementary information. | [ |
| Resected and metastatic GEA | Targeted NGS and WES of cfDNA | Mutant cfDNA can be detected in the plasma of GEA patients and correlates with disease burden and stage. | [ |
| Locally advanced HER2+ GEA | NGS of cfDNA | cfDNA sequencing at disease progression demonstrates the emergences of other genomic aberrations, such as MYC, EGFR, FGFR2, and MET amplifications. | [ |
| Mostly metastatic GEA | Targeted NGS of cfDNA | 76% of patients showed mutations in cfDNA. Genomic alterations only partially overlapped with those found upon tumor tissue sequencing. Many patients had potentially druggable lesions. | [ |
| Metastatic GEA treated with targeted therapy | NGS of cfDNA (WES) | The emergence of multiple resistance alterations in an individual patient may represent the ‘rule’ rather than the ‘exception’. Liquid biopsies are preferable over tissue biopsy because they better capture the heterogeneity in the setting of acquired resistance. | [ |
| Metastatic HER2+ GEA | Targeted NGS of cfDNA | Serial monitoring of mutations in cfDNA identified progressive disease before clinical progression. Resistance mechanisms on HER2 targeting are genetically heterogeneous. | [ |
| Metastatic HER2+ GEA | Targeted NGS of cfDNA | The study identifies PIK3CA/R1/C3, ERBB2/4, and NF1 mutations as drivers of resistance in HER2 targeting. | [ |
| Metastatic HER2+ GEA | Targeted NGS of cfDNA | Early increase in cfDNA during treatment identifies individuals at risk for rapid progression. Resistance to anti-HER2 may be mediated by epitope-disrupting HER2 mutations. | [ |
* GC = gastric cancer, GEA = gastroesophageal adenocarcinoma, cfDNA = cell-free DNA, MRD = minimal residual disease, NGS = next-generation sequencing, WES = whole exome sequencing.