Circulating tumor DNA is an independent prognostic factor in patients with early-stage epithelial ovarian cancer

2018 ◽  
Vol 149 ◽  
pp. 172-173
Author(s):  
A. Ogasawara ◽  
T. Hihara ◽  
A. Yabuno ◽  
D. Shintani ◽  
Y. Ikeda ◽  
...  
Author(s):  
Christine Fribert Thusgaard ◽  
Malene Korsholm ◽  
Kristina Magaard Koldby ◽  
Torben A. Kruse ◽  
Mads Thomassen ◽  
...  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 5543-5543
Author(s):  
Yang Xiang ◽  
Shan Zhu ◽  
Weiran Wang ◽  
Dongyan Cao ◽  
Xi-Run Wan ◽  
...  

5543 Background: Circulating tumor DNA (ctDNA) analysis in epithelial ovarian cancer (EOC) was previously reported, however with limited samples or limited genes. Here, we reported an analysis of ctDNA in EOC cohort using targeted sequencing with a 1021-gene panel. Methods: Patients with EOC were enrolled, and treatment-naïve tumor tissues and blood samples were collected. We utilized a 1021-gene NGS panel in matched tissue DNA and ctDNA to identify somatic mutations with white blood cell DNA as a germline control. Results: Mutations were identified in all of the 65 tissues and in 53 (81.5%) ctDNA. The median ctDNA mutation allelic frequency was 2.5%, ranging from 0.1% to 36.2%. A median of 66.7% (12.5%-100.0%) of tissue derived mutations were observed in ctDNA. Besides, there were 91 ctDNA private mutations, including TP53 gene mutations. The most frequently mutated genes were TP53 (55.4%), PIK3CA (13.8%) and ARID1A (12.3%) in ctDNA analysis, which were consistent with tissue analysis (60.0%, 26.2% and 20.0% of tissues with TP53, PIK3CA and ARID1A mutations, respectively). Mutations of TP53 (37/42) in high-grade serous ovarian carcinoma (HGSOC), PIK3CA (10/11) and ARID1A (8/11) in ovarian clear cell carcinoma, BRAF (4/5) in low-grade serous ovarian carcinoma and PIK3CA (3/5), ARID1A (2/5) and PTEN (2/5) in endometrioid carcinoma were observed as the most commonly genetic aberrations in ctDNA in different sub-types of EOC, which located in different signal pathways and suggested different pathogenesis. In total, 90.5% (38/42) of HGSOC were ctDNA positive, comparing with 65.2% (15/23) of other EOC subtypes (p = 0.012). In addition, 56.5% (13/23) of stage I~II EOC were ctDNA positive, comparing with 94.7% (36/38) of stage III (p = 0.002). No association between ctDNA positivity and other clinic characteristics was observed, including pathological differentiation, CA125, lesion density (solid vs. cystic-solid and cystic). Multivariable analysis suggested FIGO stage III (p = 0.008) as an independent predictor of ctDNA detection. Conclusions: In summary, genomic characterization of EOC may offer insights into tumorigenesis and identify potential therapeutic targets in this disease.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 4136-4136 ◽  
Author(s):  
Daniel Pietrasz ◽  
Shufang Wang-Renault ◽  
Laetitia Dahan ◽  
Julien Taieb ◽  
Karine Le Malicot ◽  
...  

4136 Background: Circulating tumor DNA has emerged as prognostic biomarker in oncology. Many different genes can be mutated within a tumor, complicating procedures, even with highly sensitive next-generation sequencing (NGS). DNA methylation in promotor of specific genes is an early key epigenetic change during oncogenesis. Specific methylated genes could be a potential relevant cancer biomarker that may substitute for NGS panels. The aim of this study was to assess the prognostic value of Met-DNA in mPAC. Methods: Prognostic value of Met-DNA was assessed in a prospective cohort (PLAPAN) of mPAC (training cohort), correlated with NGS, then in two prospective independent validation cohorts from two randomized phase II trials (PRODIGE 35 and 37). Plasma samples were collected before chemotherapy on EDTA-coated tubes. Met-DNA was quantified using two specific markers of pancreatic DNA methylation by digital droplet PCR and correlated with prospectively registered patient (pts) characteristics and oncologic outcomes (progression free survival (PFS) and overall survival (OS)). Results: 330 patients (pts) were enrolled. 60% (n = 58) of the 96 pts of the training cohort had at least one Met-DNA marker. The correlation with NGS assessment was R = 0.93 (Pearson; p < 0.001). 59.5% (n = 100/168) and 59% (n = 39/66) of pts had detectable Met-DNA in the 2 validation cohorts. In the training cohort, Met-DNA was correlated with poor OS (HR = 1.82; 95%CI 1.07-2.42; p = 0.026). In validation cohorts, Met-DNA was a prognostic factor of PFS (HR = 1.62; 95%CI 1.17-2.25, p = 004) and OS (HR = 1.79; 95%CI 1.28-2.49, p < 0.001) in PRODIGE 35, as in PRODIGE 37: PFS HR = 1.79 (95%CI 1.07-2.99; p = 0.026) and OS HR = 2.08 (95%CI [1.18-3.68], p = 0.01), respectively. In multivariate analysis adjusted on gender, age, CA19-9 > 40UI.mL, treatment arm, number of metastatic sites and stratified on center, Met-DNA was independently associated with poor OS in both trials: HR = 1.81 (95%CI 1.10-2.98; p = 0.02) and HR = 3.62 (95%CI: 1.32-9.93; p = 0.01). Conclusions: This study demonstrates that Met-DNA is a strong independent prognostic factor in mPAC. These results argue for patient’s stratification on ctDNA status for further randomized trials. Clinical trial information: NCT02827201 and NCT02352337.


Neoplasia ◽  
2007 ◽  
Vol 9 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Changqing Zhao ◽  
Loganath Annamalai ◽  
Changfa Guo ◽  
Narasimhan Kothandaraman ◽  
Stephen Chee Liang Koh ◽  
...  

2011 ◽  
Vol 19 (5) ◽  
pp. 1707-1712 ◽  
Author(s):  
Sun-Young Kong ◽  
Mi Hwa Han ◽  
Heon-Jong Yoo ◽  
Jong Ha Hwang ◽  
Myong Cheol Lim ◽  
...  

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