Circulating tumor DNA clone analysis to predict disease progression/indicates trastuzumab-resistant mechanism in advanced gastric cancer.

2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e24030-e24030
Author(s):  
Yan Wang ◽  
Lianpeng Chang ◽  
Yu-Bo Jiang ◽  
Ru Jia ◽  
Rongrong Chen ◽  
...  
PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11146
Author(s):  
Jia Li ◽  
Zhaoyan Li ◽  
Yajie Ding ◽  
Yan Xu ◽  
Xiaohong Zhu ◽  
...  

Background Gastric cancer (GC) is a heterogeneous disease that encompasses various molecular subtypes. The molecular mutation characteristics of circulating tumor DNA (ctDNA) in advanced gastric cancer (AGC), especially the clinical utility of TP53 mutation and MET amplification in ctDNA need to be further explored. Objectives The aim of this study was mainly to assess the clinical utility of TP53 mutation and MET amplification in ctDNA as biomarkers for monitoring disease progression of AGC. Patients and Methods We used multigene NGS-panel technology to study the characteristics of ctDNA gene mutations and screen the key mutant genes in AGC patients. The Kaplan-Meier method was used to calculate the survival probability and log-rank test was used to compare the survival curves of TP53 mutation and MET amplification in ctDNA of AGC patients. The survival time was set from the blood test time to the follow-up time to observe the relationship between the monitoring index and tumor prognosis. Results We performed mutation detection on ctDNA in 23 patients with AGC and identified the top 20 mutant genes. The five most frequently mutated genes were TP53 (55%), EGFR (20%), ERBB2 (20%), MET (15%) and APC (10%). TP53 was the most common mutated gene (55%) and MET had a higher frequency of mutations (15%) in our study. Kaplan-Meier analysis showed that patients with TP53 mutant in ctDNA had shorter overall survival (OS) than these with TP53 wild (P < 0.001). The Allele frequency (AF) of TP53 mutations in patient number 1 was higher in the second time (0.94%) than in the first time (0.36%); the AF of TP53 mutations in patient number 16 was from scratch (0∼0.26%). In addition, the AF of TP53 mutations in patients who survive was relatively low (P = 0.047). Simultaneously, Kaplan-Meier analysis showed that patients with MET amplification also had shorter OS than these with MET without amplification (P < 0.001). Conclusion TP53 and MET are the two common frequently mutant genes in ctDNA of AGC patients.TP53 mutation and MET amplification in ctDNA could predict disease progression of AGC patients.


EBioMedicine ◽  
2019 ◽  
Vol 43 ◽  
pp. 261-269 ◽  
Author(s):  
Yan Wang ◽  
Chuanhua Zhao ◽  
Lianpeng Chang ◽  
Ru Jia ◽  
Rongrui Liu ◽  
...  

2017 ◽  
Vol 108 (9) ◽  
pp. 1881-1887 ◽  
Author(s):  
Jing Gao ◽  
Haixing Wang ◽  
Wanchun Zang ◽  
Beifang Li ◽  
Guanhua Rao ◽  
...  

2019 ◽  
Vol 10 (10) ◽  
Author(s):  
Zuhua Chen ◽  
Cheng Zhang ◽  
Mengqi Zhang ◽  
Beifang Li ◽  
Yunyun Niu ◽  
...  

Abstract Gastric cancer is characterized by chromosomal instability. In this study, we investigated chromosomal instability quantified by copy number instability (CNI) score of circulating tumor DNA (ctDNA) during the drug treatment in advanced gastric cancer (AGC). A total of 55 pretherapeutic plasmas from 55 AGC patients and 75 plasmas during drug treatment of 26 AGC patients were collected. Plasma ctDNA was extracted and assessed by whole-genome sequencing (WGS) for somatic copy number alteration (SCNA), and according to which we calculated the CNI scores. We next assessed the correlations between chromosomal instability and therapeutic response. The cutoff value of chromosomal instability was defined as the mean + SD of the CNI scores (56.60) in cfDNA of plasmas from 100 healthy people. For 55 enrolled cases, chromosomal instability was observed in 27 (49%) prior to drug treatment, whose response rate (59%, 16/27) was higher than in 28 patients with stable chromosomes (32%, 9/28, P = 0.043). We also observed that CNI scores fluctuated during treatment in 26 patients. Specifically, the CNI scores in 93% (14/15) of patients sensitive to drug treatment reduced to the level of chromosomal stability and the CNI scores in 52% (13/25) of patients resistant to treatment elevated again. For ctDNA with developed resistance, the SCNA patterns were identical to those before treatment, whereas the CNI scores were lower than the pretherapeutic scores. We found that chromosomal instability based on ctDNA could predict and monitor therapeutic response in gastric cancer, although validation in a larger cohort will be necessary.


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