Circulating tumor DNA to detect minimal residual disease, response to adjuvant therapy, and identify patients at high risk of recurrence in patients with stage I-III CRC.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 4009-4009
Author(s):  
Noelia Tarazona ◽  
Tenna V Henriksen ◽  
Juan Antonio Carbonell-Asins ◽  
Thomas Reinert ◽  
Shruti Sharma ◽  
...  

4009 Background: The clinical utility of tracking circulating tumor DNA (ctDNA) as a non-invasive biomarker for detecting minimal residual disease (MRD) and stratifying patients based on their risk of developing relapse has been well established in colorectal cancer (CRC). This study evaluates the detection and longitudinal monitoring of ctDNA in CRC patients pre- and post-operatively, during and after adjuvant chemotherapy (ACT). Methods: The prospective, multicenter cohort study recruited patients (n = 193) diagnosed with resected stage I-III CRC. Plasma samples (n = 1052) were collected at various timepoints with a median follow up of 21.6 months (4.6-38.5 months). Individual tumors and matched germline DNA were whole-exome sequenced and somatic mutations identified. Multiplex PCR assays were designed to 16 tumor-specific single-nucleotide variants to track ctDNA in plasma samples. The study evaluated the relationship between ctDNA status and clinical outcomes including radiologic imaging. Cox regression was used to calculate recurrence-free survival (RFS) in patients stratified by ctDNA status postoperatively and post-ACT. Multivariable analysis was performed with all clinical variables. Best model was selected according to Akaike Information Criterion. Results: Pre-operatively ctDNA was detected in 90% (n = 166/185) of the patients. Post-operative ctDNA status prior to ACT was assessed in 152 patients, of which 9.2% (14/152) were identified to be MRD-positive and 78.5% (11/14) eventually relapsed. In contrast, 10.1% (14/138) of MRD-negative cases relapsed (HR: 16.53; 95% CI: 7.19-38.02; p < 0.001). Longitudinal ctDNA-positive status, post-ACT (n = 84) and post definitive therapy (n = 139) was associated with a 27.92 HR (95% CI: 9.16-85.11; p < 0.001) and a 47.52 HR (95% CI: 17.34-130.3.; p < 0.001), respectively. In the multivariable analysis, longitudinal ctDNA status was the only significant prognostic factor associated with RFS (HR: 53.19, 95% CI: 18.87-149.90; p < 0.001). Serial ctDNA analysis detected MRD up to a median of 9.08 months (0.56-16.5 months) ahead of radiologic relapse with a sensitivity of 79.1% and specificity of 99%. Conclusions: Postoperative ctDNA analyses detect patients with high-risk of recurrence, with near 100% specificity. Early detection of MRD and longitudinal monitoring of ctDNA could guide treatment decisions. Intervention trials to assess the clinical benefit of ctDNA use are underway.

Cancers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 4547
Author(s):  
Jun Gong ◽  
Andrew Hendifar ◽  
Alexandra Gangi ◽  
Karen Zaghiyan ◽  
Katelyn Atkins ◽  
...  

Emerging data suggest that circulating tumor DNA (ctDNA) can detect colorectal cancer (CRC)-specific signals across both non-metastatic and metastatic settings. With the development of multiple platforms, including tumor-informed and tumor-agnostic ctDNA assays and demonstration of their provocative analytic performance to detect minimal residual disease, there are now ongoing, phase III randomized clinical trials to evaluate their role in the management paradigm of CRC. In this review, we highlight landmark studies that have formed the basis for ongoing studies on the clinically applicability of plasma ctDNA assays in resected, stage I–III CRC and metastatic CRC. We discuss clinical settings by which ctDNA may have the most immediate impact in routine clinical practice. These include the potential for ctDNA to (1) guide surveillance and intensification or de-intensification strategies of adjuvant therapy in resected, stage I–III CRC, (2) predict treatment response to neoadjuvant therapy in locally advanced rectal cancer inclusive of total neoadjuvant therapy (TNT), and (3) predict response to systemic and surgical therapies in metastatic disease. We end by considering clinical variables that can influence our ability to reliably interpret ctDNA dynamics in the clinic.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16799-e16799
Author(s):  
Liu Yang ◽  
Jiahong Jiang ◽  
Song Ye ◽  
Yaping Xu ◽  
Dongsheng Huang

e16799 Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the leading causes of cancer death, partly due to the high recurrence rates for patients with resectable PDAC. Current postoperative surveillance methods including monitoring of clinical symptoms, tumor markers and CT imaging, lack sensitivity and specificity to identify minimal residual disease (MRD). Methods: We investigated whether the detection of circulating tumor DNA (ctDNA) could identify MRD and predict relapse in postoperative patients with PDAC. In this study, we performed panel-captured sequencing to detect somatic mutations. Matched tissue samples were obtained to verify mutation. Results: A total of 27 patients and 65 plasma samples were included. Among the somatic mutations, KRAS and TP53 were the most recurrent genes in both tissue and plasma samples. The detectable rate of ctDNA increased with the stage of PDAC. The maximal variant allele fraction (VAF) of ctDNA had a positive correlation with tumor largest diameter (p = 0.0101). Patients with ctDNA-positive status postoperatively had a markedly reduced disease-free survival (DFS) compared to those with ctDNA-negative status (HR, 5.20; p = 0.019). Positive vascular invasion significantly influenced disease-free survival (DFS) (p = 0.036), and positive postoperative ctDNA status was an independent prognostic factor for DFS (HR = 3.60; 95% CI, 1.15-11.28; p = 0.028). Conclusions: Postoperative ctDNA detection provides strong evidence of MRD and identifies patients with a high risk of relapse. ctDNA detection is a promising approach for personalized patient management during postoperative follow-up.


2017 ◽  
Vol 63 (3) ◽  
pp. 691-699 ◽  
Author(s):  
Francesca Riva ◽  
Francois-Clement Bidard ◽  
Alexandre Houy ◽  
Adrien Saliou ◽  
Jordan Madic ◽  
...  

Abstract BACKGROUND In nonmetastatic triple-negative breast cancer (TNBC) patients, we investigated whether circulating tumor DNA (ctDNA) detection can reflect the tumor response to neoadjuvant chemotherapy (NCT) and detect minimal residual disease after surgery. METHODS Ten milliliters of plasma were collected at 4 time points: before NCT; after 1 cycle; before surgery; after surgery. Customized droplet digital PCR (ddPCR) assays were used to track tumor protein p53 (TP53) mutations previously characterized in tumor tissue by massively parallel sequencing (MPS). RESULTS Forty-six patients with nonmetastatic TNBC were enrolled. TP53 mutations were identified in 40 of them. Customized ddPCR probes were validated for 38 patients, with excellent correlation with MPS (r = 0.99), specificity (≥2 droplets/assay), and sensitivity (at least 0.1%). At baseline, ctDNA was detected in 27/36 patients (75%). Its detection was associated with mitotic index (P = 0.003), tumor grade (P = 0.003), and stage (P = 0.03). During treatment, we observed a drop of ctDNA levels in all patients but 1. No patient had detectable ctDNA after surgery. The patient with rising ctDNA levels experienced tumor progression during NCT. Pathological complete response (16/38 patients) was not correlated with ctDNA detection at any time point. ctDNA positivity after 1 cycle of NCT was correlated with shorter disease-free (P &lt; 0.001) and overall (P = 0.006) survival. CONCLUSIONS Customized ctDNA detection by ddPCR achieved a 75% detection rate at baseline. During NCT, ctDNA levels decreased quickly and minimal residual disease was not detected after surgery. However, a slow decrease of ctDNA level during NCT was strongly associated with shorter survival.


2017 ◽  
Vol 12 (1) ◽  
pp. S445
Author(s):  
Aadel Chaudhuri ◽  
Alexander Lovejoy ◽  
Jacob Chabon ◽  
Aaron Newman ◽  
Henning Stehr ◽  
...  

2016 ◽  
Vol 8 (346) ◽  
pp. 346ra92-346ra92 ◽  
Author(s):  
Jeanne Tie ◽  
Yuxuan Wang ◽  
Cristian Tomasetti ◽  
Lu Li ◽  
Simeon Springer ◽  
...  

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