Cell-free Circulating Tumor DNA Research Articles

Possible role of circulating tumor cells in early detection of lung cancer.

The prognosis of lung cancer varies highly depending on the disease stage at diagnosis, from a 5-year survival rate close to 90% in stage I, to 10% or less in stage IV disease. The enhancement of early diagnosis of this malignancy is mandatory to improve prognosis, because lung cancer patients stay long asymptomatic or few symptomatic after disease onset. Nowadays, liquid biopsy has emerged as a minimally-invasive tool to address the urgent need for real time monitoring, stratification, and personalized treatment of malignancies, including lung cancer. Liquid biopsy refers to a class of biomarkers, including circulating tumor cells (CTCs), cell-free circulating tumor DNA (ctDNA) and tumor-derived extracellular vesicles (tdEV). Since CTCs represent a crucial step in disease progression and metastasis, we reviewed here the scientific literature about the use of CTCs in early diagnosis of lung cancer; different techniques, and different strategies (e.g., source of analysis sample or high-risk groups of patients) were discussed showing the potential of implementing liquid biopsy in the clinical routine of non-metastatic lung cancer.

Abstract IA02: Multicancer detection of early-stage cancers with simultaneous tissue localization using a plasma cfDNA-based targeted methylation assay

Abstract Background: Earlier cancer detection could identify tumors when they are more treatable and thus may improve clinical outcomes. A blood-based multicancer early detection test using circulating tumor cell-free DNA (cfDNA) offers the potential to address this unmet need. Our previous discovery work identified whole-genome bisulfite sequencing as outperforming whole-genome and targeted sequencing approaches for multicancer detection across stages. We thus developed a targeted methylation (TM) assay for multicancer detection and tissue-of-origin (TOO) localization. Methods: Participants were from the Circulating Cell-free Genome Atlas (CCGA; NCT02889978) and STRIVE (NCT03085888) studies, both prospective, multicenter, observational studies with longitudinal follow-up. cfDNA samples spanning >20 cancer types of all stages were divided into a cross-validated training set and an independent validation set; there were 3,583 evaluable samples in training (1,530 cancer; 2,053 noncancer) and 1,803 in validation (678 cancer; 1,125 noncancer). Performance in a prespecified set of 12 high-signal cancers was also reported (anus, bladder, colon/rectum, esophagus, head and neck, liver/bile-duct, lung, lymphoma, ovary, pancreas, plasma cell neoplasm, stomach). This multicancer early detection test evaluated cfDNA for the presence of cancer and localization of TOO; the TM classifier was trained to target >99% specificity. Precision was defined as the fraction of correct calls. Results: Participants with and without cancer were similar in age. Specificity across all cancer types in the training and validation sets was 99.8% (95% CI, 99.2-99.9%) and 99.3% (98.3-99.8%), respectively, which reflects a consistent (P=0.292) false positive rate of <1%. Across all cancer types, aggregate sensitivity was also consistent between the training and validation sets (55% [53-58%] and 55% [51-59], respectively; P=0.897). In the validation set, aggregate sensitivity in the prespecified group was 76% (73-78%); detection was 39% (27–52%) in stage I (n=62), 69% (56–80%) in stage II (n=62), 83% (75–90%) in stage III (n=102), and 92% (86–96%) in stage IV (n=130). Overall, the classifier assigned a TOO across >20 cancer types in 96% of samples (344/359); of these, the TOO was correct in 93% (321/344) of cases, which was consistent with training set analyses. Conclusions: This multicancer early detection test detected cancer signal across >20 cancer types with a single, fixed, low false positive rate and highly accurate TOO localization. Importantly, results in the independent validation set were consistent with the training set, demonstrating the robustness of machine learning classifier training, and confirms that data were not overfitted. These data support the feasibility of a single blood-based test that can detect multiple cancers, supporting further clinical development in preparation for the return of results. Citation Format: Anne-Renee Hartman, Geoffrey Oxnard, Eric Klein, Michael Seiden, Earl Hubbell, Oliver Venn, Arash Jamshidi, Nan Zhang, John Beausang, Samuel Gross, Kathryn Kurtzman, Eric Fung, Brian Allen, Alexander Fields, Hai Liu, Mikkael Sekeres, Donald Richards, Peter Yu, Alexander Aravanis, Minetta Liu. Multicancer detection of early-stage cancers with simultaneous tissue localization using a plasma cfDNA-based targeted methylation assay [abstract]. In: Proceedings of the AACR Special Conference on Advances in Liquid Biopsies; Jan 13-16, 2020; Miami, FL. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(11_Suppl):Abstract nr IA02.

Abstract A65: Longitudinal detection of TERT-mutant plasma cell-free circulating tumor DNA in newly diagnosed glioblastoma patients

Abstract Introduction: Liquid biopsies, especially plasma cell-free circulating tumor DNA (ctDNA), provide a potential opportunity to be a noninvasive biomarker for the diagnosis and monitoring of glioblastoma (GBM) patients. Previously, we detected TERT promoter hotspot mutations (C228T and C250T) in ctDNA of IDH wild-type (IDHwt) TERT promoter mutant GBM patients with 100% specificity using mutation-specific droplet digital PCR (ddPCR) assays. Here, we examine the association between mutant TERT ctDNA levels and clinical outcomes in newly diagnosed GBM patients undergoing chemoradiation. Methods: We analyzed 76 serially collected plasma samples from 17 patients with suspected IDHwt GBM based on MRI before surgery. Twenty mL of whole blood was collected in EDTA tubes at predetermined times: pre- and postoperatively, at the end of chemoradiation, and 1, 3, and 6 months from the end of chemoradiation. TERT promoter mutations C228T or C250T were identified in FFPE tumor samples using ddPCR assays specific for these mutations. Plasma samples were analyzed for the patient’s tumor TERT mutation using the ddPCR assays. The analytically validated thresholds for positive ctDNA detection were 1.5 and 1.7 copies/mL for C228T and C250T, respectively. Results: Sixteen of 17 (94%) IDHwt tumors had TERT mutations (10 C228T, 6 C250T) with MGMT methylated, unmethylated, or unknown status in 10, 5, and 1, respectively. Fourteen of the 16 patients (87.5%) had detectable mutant ctDNA at one or more time points (range 1.66 to 22.13 copies/mL). Of the 2 patients with undetectable ctDNA, one had diffuse and non-avidly enhancing disease and the other only had pre/postop plasma samples collected. Six patients had detectable ctDNA preop, and most had a dominant rim-enhancing mass with additional nonenhancing or enhancing lesion(s). Ten patients had detectable ctDNA up to 4 days postop, half of whom had undergone gross total resection. For 3 of 5 patients for whom there was a question of pseudoprogression versus true progression, ctDNA kinetics matched the clinical outcome. One patient with MGMT unmethylated multifocal GBM achieved ctDNA zeroconversion at 6 months post radiation (RT), and did not progress for another five months. Another patient was negative at all time points until their 3-month post RT follow-up, at which time they developed a recurrence. Another patient achieved zeroconversion at the end of RT but developed a borderline positive ctDNA at 6 months after RT, 2 months before documented radiographic progression. Conclusions: In this pilot, prospective ctDNA monitoring study of IDHwt GBM, TERT mutant ctDNA was detected at one or more time points in the majority of patients. ctDNA kinetics were associated with clinical outcomes for some patients. These data suggest that additional, larger studies could refine how ctDNA monitoring may be used to enhance the clinical management of IDHwt GBM patients. Citation Format: Christine Cordova, Mahrukh M. Syeda, Broderick Corless, Jennifer M. Wiggins, Amie Patel, Sylvia C. Kurz, Malcolm Delara, Zacharia Sawaged, Minerva Utate, Dimitris Placantonakis, John Golfinos, Jessica Schafrick, Joshua S. Silverman, Rajan Jain, Matija Snuderl, David Zagzag, George Karlin-Neumann, David Polsky, Andrew S. Chi. Longitudinal detection of TERT-mutant plasma cell-free circulating tumor DNA in newly diagnosed glioblastoma patients [abstract]. In: Proceedings of the AACR Special Conference on Advances in Liquid Biopsies; Jan 13-16, 2020; Miami, FL. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(11_Suppl):Abstract nr A65.

Digging deep or spreading wide?—a comparison of polymerase chain reaction and sequencing approaches in the analysis of circulating tumor DNA

Background: Liquid biopsy, the analysis of cell-free circulating tumor DNA (ctDNA) in plasma, is becoming an increasingly essential tool in oncology. Current applications for lung cancer include non-invasive analysis of mutations in a tumor with the aim of deciding on therapy, and treatment follow-up, in particular early detection of resistance-causing mutations. Unfortunately the analysis is technically challenging, due to the low amounts of cell-free DNA in plasma and to the minute fraction of tumor-born DNA within it. Current mutation detection methods are either polymerase chain reaction (PCR)-based, allowing highly sensitive detection of a small subset of mutations, or based on high throughput sequencing, which allows screening of broad genomic regions at the expense of sensitivity. A recent technical development, molecular barcodes, brings the sensitivity of sequencing to levels comparable with PCR.

Abstract IA10: Liquid biopsies as biomarkers of disease progression in multiple myeloma

Abstract Multiple myeloma (MM) is a plasma cell dyscrasia that is almost always preceded by the precursor states of monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). Some patients rapidly progress from MGUS/SMM to overt MM while others remain indolent for many years. Disease evolution also depends on the surrounding microenvironment, which can be either permissive or inhibitory of clonal expansion. The use of liquid biopsies for cancer detection and monitoring is rapidly gaining prominence. Current methods for the detection of circulating tumor cell-free DNA (cfDNA) include low-pass genome sequencing for copy number profiling and deep targeted sequencing for detection of recurrent somatic mutations. However, the sensitivity of these methods is limited among patients with minimal disease, such as MGUS or the minimal residual disease (MRD) state, on account of low tumor burden and a highly variable genomic landscape, whereby most patients do not carry any of the recurrent alterations. I will discuss our current data on detecting cfDNA and circulating tumor cells in the peripheral blood of patients with MGUS, SMM, and overt MM as well as novel personalized, sensitive methods to detect cfDNA with deep UMI-based sequencing for potential use to detect MRD. There is an urgent need for a liquid biopsy assay that can be integrated in the clinical diagnosis of patients for more sensitive tumor detection along with better characterization of their genomic and epigenetic alterations leading to much-needed solutions for integrative staging of MM precursor and MRD patients, with potential implications for patient monitoring and treatment.

Prevalence and association of ARID1A with driver alterations and immune checkpoint inhibitor (ICPi) biomarkers in cell-free circulating tumor DNA (ctDNA) from 27,000 non-small cell lung cancer (NSCLC) patients.

9523 Background: Recent data suggest that the tumor suppressor gene ARID1A is associated with high anti-tumor immunity and may have value as a predictive biomarker for response to ICPi therapy in NSCLC. We examined ARID1A alterations detected in ctDNA from a large cohort of advanced NSCLC patients using a commercially available liquid biopsy assay and explored associations of ARID1A with lung cancer driver alterations and other putative ICPi mutational biomarkers. Methods: Consecutive samples from stage IIIB/IV NSCLC patients tested from March 2016 - August 2019 using a 73- to 74-gene targeted next-generation sequencing ctDNA assay (Guardant360) were queried. Testing included analysis of single nucleotide variants, insertions/deletions, fusions, and amplifications ( KEAP1 not tested). Mutation frequencies were compared using Fisher’s exact test, with variants of uncertain significance and synonymous variants excluded. Results: Of 27,776 NSCLC patients with >1 ctDNA alteration detected, 1,094 (3.9%) had >1 functional ARID1A (f ARID1A) mutation. f ARID1A mutations were significantly more common in patients with squamous histology compared to adenocarcinoma (5.1% vs 3.8%, p = 0.0007). There were significantly fewer EGFR exon 19 deletion mutations (4.9% vs 11.1%; p < 0.0001) and EGFR L858R mutations (4.0% vs 7.0%; p < 0.0001), and significantly more BRAF V600E alterations (2.2% vs 1.4%; p = 0.0338) in patients with f ARID1A. There was no significant difference in the frequency of ALK and ROS1 fusions, nor STK11 mutations between patients with and without f ARID1A (8.0% vs 6.8%; p = 0.126). Activating KRAS mutations were significantly more frequent in patients with f ARID1A (31.1% vs 19.4%; p < 0.0001), including KRAS G12C (10.9% vs 7.0%; p < 0.0001). Conclusions: These data provide a mutational landscape for f ARID1A mutations in NSCLC. f ARID1A was associated with significant differences in the frequency of multiple lung cancer driver alterations, of particular interest in the EGFR-mutated cohort, where ICPi efficacy is low. The frequency of STK11 mutations, a possible negative predictor of ICPi efficacy, was not significantly different. KRAS mutations were significantly more frequent in patients with f ARID1A, notable given recent data reporting that KRAS mutations, particularly KRAS G12C, may be a positive predictor of ICPi response in NSCLC. Determination of ICPi efficacy in patients with f ARID1A is in-process.

Applications of cell-free circulating tumor DNA detection in EGFR mutant lung cancer.

Analyses of cell-free tumor DNA (ctDNA) have provided a non-invasive strategy for cancer diagnosis, the identification of molecular aberrations for treatment identification, and evaluation of tumor response. Sensitive and specific ctDNA sequencing strategies have allowed for implementation into clinical practice for the initial genotyping of patients and resistance monitoring. The specific need for EGFR mutation detection for the management of lung cancer patients has been an early imperative and has set the stage for non-invasive molecular profiling across other oncogenic drivers. Ongoing efforts are demonstrating the utility of ctDNA analyses in the initial genotyping of patients, the monitoring resistance clones, and the initial evaluation of response.

Circulating cell free DNA during definitive chemo-radiotherapy in non-small cell lung cancer patients - initial observations.

The overall aim was to investigate the change over time in circulating cell free DNA (cfDNA) in patients with locally advanced non-small cell lung cancer (NSCLC) undergoing concurrent chemo-radiotherapy. Furthermore, to assess the possibility of detecting circulating cell free tumor DNA (ctDNA) using shallow whole genome sequencing (sWGS) and size selection. Ten patients were included in a two-phase study. The first four patients had blood samples taken prior to a radiation therapy (RT) dose fraction and at 30 minutes, 1 hour and 2 hours after RT to estimate the short-term dynamics of cfDNA concentration after irradiation. The remaining six patients had one blood sample taken on six treatment days 30 minutes post treatment to measure cfDNA levels. Presence of ctDNA as indicated by chromosomal aberrations was investigated using sWGS. The sensitivity of this method was further enhanced using in silico size selection. cfDNA concentration from baseline to 120 min after therapy was stable within 95% tolerance limits of +/- 2 ng/ml cfDNA. Changes in cfDNA were observed during therapy with an apparent qualitative difference between adenocarcinoma (average increase of 0.69 ng/ml) and squamous cell carcinoma (average increase of 4.0 ng/ml). Tumor shrinkage on daily cone beam computer tomography scans during radiotherapy did not correlate with changes in concentration of cfDNA. Concentrations of cfDNA remain stable during the first 2 hours after an RT fraction. However, based on the sWGS profiles, ctDNA represented only a minor fraction of cfDNA in this group of patients. The detection sensitivity of genomic alterations in ctDNA strongly increases by applying size selection.

Circulating tumor cells as Trojan Horse for understanding, preventing, and treating cancer: a critical appraisal.

Circulating tumor cells (CTCs) are regarded as harbingers of metastases. Their ability to predict response to therapy, relapse, and resistance to treatment has proposed their value as putative diagnostic and prognostic indicators. CTCs represent one of the zeniths of cancer evolution in terms of cell survival; however, the triggers of CTC generation, the identification of potentially metastatic CTCs, and the mechanisms contributing to their heterogeneity and aggressiveness represent issues not yet fully deciphered. Thus, prior to enabling liquid biopsy applications to reach clinical prime time, understanding how the above mechanistic information can be applied to improve treatment decisions is a key challenge. Here, we provide our perspective on how CTCs can provide mechanistic insights into tumor pathogenesis, as well as on CTC clinical value. In doing so, we aim to (a) describe how CTCs disseminate from the primary tumor, and their link to epithelial-mesenchymal transition (EMT); (b) trace the route of CTCs through the circulation, focusing on tumor self-seeding and the possibility of tertiary metastasis; (c) describe possible mechanisms underlying the enhanced metastatic potential of CTCs; (d) discuss how CTC could provide further information on the tissue of origin, especially in cancer of unknown primary origin. We also provide a comprehensive review of meta-analyses assessing the prognostic significance of CTCs, to highlight the emerging role of CTCs in clinical oncology. We also explore how cell-free circulating tumor DNA (ctDNA) analysis, using a combination of genomic and phylogenetic analysis, can offer insights into CTC biology, including our understanding of CTC heterogeneity and tumor evolution. Last, we discuss emerging technologies, such as high-throughput quantitative imaging, radiogenomics, machine learning approaches, and the emerging breath biopsy. These technologies could compliment CTC and ctDNA analyses, and they collectively represent major future steps in cancer detection, monitoring, and management.

Cell-free Circulating Tumor DNA Variant Allele Frequency Associates with Survival in Metastatic Cancer.

Physicians are expected to assess prognosis both for patient counseling and for determining suitability for clinical trials. Increasingly, cell-free circulating tumor DNA (cfDNA) sequencing is being performed for clinical decision making. We sought to determine whether variant allele frequency (VAF) in cfDNA is associated with prognosis. We performed a retrospective analysis of 298 patients with metastatic disease who underwent clinical comprehensive cfDNA analysis and assessed association between VAF and overall survival. cfDNA mutations were detected in 240 patients (80.5%). Median overall survival (OS) was 11.5 months. cfDNA mutation detection and number of nonsynonymous mutations (NSM) significantly differed between tumor types, being lowest in appendiceal cancer and highest in colon cancer. Having more than one NSM detected was associated with significantly worse OS (HR = 2.3; P < 0.0001). VAF was classified by quartiles, Q1 lowest, Q4 highest VAF. Higher VAF levels were associated with a significantly worse overall survival (VAF Q3 HR 2.3, P = 0.0069; VAF Q4 HR = 3.8, P < 0.0001) on univariate analysis. On multivariate analysis, VAF Q4, male sex, albumin level <3.5 g/dL, number of nonvisceral metastatic sites >0 and number of prior therapies >4 were independent predictors of worse OS. Higher levels of cfDNA VAF and a higher number of NSMs were associated with worse OS in patients with metastatic disease. Further study is needed to determine optimal VAF thresholds for clinical decision making and the utility of cfDNA VAF as a prognostic marker in different tumor types.

Target-based genomic profiling of ctDNA from Chinese non-small cell lung cancer patients: a result of real-world data.

Approximately 30% of NSCLC patients cannot obtain tissue sample or sufficient tissue sample for molecular subtyping. Cell-free circulating tumor DNA (ctDNA) in plasma is a potential alternative specimen type to assess genomic variants in patients with non-small cell lung cancer (NSCLC). The purpose of this study was to identify the genomic alteration profile of ctDNA in real-world Chinese NSCLC patients. A total of 325 subjects with pathological diagnosis of NSCLC were enrolled. 10ml Peripheral blood was collected in streck tube, and ctDNA NGS analysis was carried out using an Ampliseq-based 11-gene panel. 295 out of 325 patients (90.8%) had detected ctDNA results. In 62.1% (183/295) of these cases, at least one genomic alterations was detected. Frequency altered genes were EGFR (27.8%), TP53 (22.7%), KRAS (21.36%), and PIK3CA (4.75%). EGFR mutation was associated with female, younger age (< 65years), and adenocarcinoma. The most common mutations in EGFR were L858R (39.4%), exon19 deletions (31.73%), and T790M (18.3%); G13S was the most common alterations in KRAS. TP53 mutation was most occurred in exon7 and exon8. TP53 mutation was significantly more common in patients with history of radiochemotherapy/chemotherapy therapy, and T790M was mainly found in patients with TKIs treatments. Co-existence EGFR mutation with KRAS and different multiple gene co-mutation panels were detected. In Chinese NSCLC patients, EGFR mutation was significantly associated with female, younger age (< 65years), and adenocarcinoma. Genomic profiles of NSCLC were associated with the treatment history; TP53 mutation was significantly more frequent in the patients with history of radiochemotherapy/chemotherapy therapy. Various multiple genes co-mutation panels, especially EGFR and KRAS co-mutation, were observed in the ctDNA of Chinese NSCLC patients.

A Comparative Analysis of Tumors and Plasma Circulating Tumor DNA in 145 Advanced Cancer Patients Annotated by 3 Core Cellular Processes.

Matched-targeted and immune checkpoint therapies have improved survival in cancer patients, but tumor heterogeneity contributes to drug resistance. Our study categorized gene mutations from next generation sequencing (NGS) into three core processes. This annotation helps decipher complex biologic interactions to guide therapy. We collected NGS data on 145 patients who have failed standard therapy (2016 to 2018). One hundred and forty two patients had data for tissue (Caris MI/X) and plasma cell-free circulating tumor DNA (Guardant360) platforms. The mutated genes were categorized into cell fate (CF), cell survival (CS), and genome maintenance (GM). Comparative analysis was performed for concordance and discordance, unclassified mutations, trends in TP53 alterations, and PD-L1 expression. Two gene mutation maps were generated to compare each NGS platform. Mutated genes predominantly matched to CS with concordance between Guardant360 (64.4%) and Caris (51.5%). TP53 alterations comprised a significant proportion of the mutation pool in Caris and Guardant360, 14.7% and 13.1%, respectively. Twenty-six potentially actionable gene alterations were detected from matching ctDNA to Caris unclassified alterations. The CS core cellular process was the most prevalent in our study population. Clinical trials are warranted to investigate biomarkers for the three core cellular processes in advanced cancer patients to define the next best therapies.

Cell free circulating tumor DNA in cerebrospinal fluid detects and monitors central nervous system involvement of B-cell lymphomas.

The levels of cell free circulating tumor DNA (ctDNA) in plasma correlate with treatment response and outcome in systemic lymphomas. Notably, in brain tumors, the levels of ctDNA in the cerebrospinal fluid (CSF) are higher than in plasma. Nevertheless, their role in central nervous system (CNS) lymphomas remains elusive. We evaluated the CSF and plasma from 19 patients: 6 restricted CNS lymphomas, 1 systemic and CNS lymphoma, and 12 systemic lymphomas. We performed whole exome sequencing or targeted sequencing to identify somatic mutations of the primary tumor, then variant-specific droplet digital polymerase chain reaction was designed for each mutation. At time of enrollment, we found ctDNA in the CSF of all patients with restricted CNS lymphoma but not in patients with systemic lymphoma without CNS involvement. Conversely, plasma ctDNA was detected in only 2 out of 6 patients with restricted CNS lymphoma with lower variant allele frequencies than CSF ctDNA. Moreover, we detected CSF ctDNA in one patient with CNS lymphoma in complete remission and in one patient with systemic lymphoma, 3 and 8 months before CNS relapse was confirmed, indicating that CSF ctDNA might detect CNS relapse earlier than conventional methods. Finally, in two cases with CNS lymphoma, CSF ctDNA was still detected after treatment even though no tumoral cells were observed by flow cytometry (FC), indicating that CSF ctDNA detected residual disease better than FC. In conclusion, CSF ctDNA can detect CNS lesions better than plasma ctDNA and FC. In addition, CSF ctDNA predicted CNS relapse in CNS and systemic lymphomas.

Cell-free DNA BRAF V600E measurements during BRAF inhibitor therapy of metastatic melanoma: long-term analysis.

We assessed the status of the BRAF V600E mutation in cell-free circulating tumor DNA (cfDNA) isolated from the plasma of patients with metastatic melanoma treated with the BRAF inhibitor vemurafenib, collected at different time points during therapy to evaluate the sensitivity and specificity of quantitative polymerase chain reaction and droplet digital polymerase chain reaction (ddPCR) and the correlation between the level of plasma cfDNA p.V600E and the long-term clinical outcome. cfDNA in patients with BRAF-mutated melanoma (n = 62) was analyzed at baseline and at 4-8 weeks from the start of vemurafenib therapy. BRAF mutations were assessed using tumor tissue-derived DNA and circulating cfDNA from plasma samples. Quantification of BRAF V600E was performed in cfDNA using ddPCR. cfDNA V600E was detected in the plasma of 48/62 (77%) patients at baseline and in 18/62 (29%) patients after 4-8 weeks of treatment. Patients positive for BRAF mutations in cfDNA at baseline had shorter progression-free survival (PFS) and overall survival (OS) compared with patients with undetectable cfDNA BRAF mutations. Undetectable cfDNA p.V600E at baseline and after 4-8 weeks of therapy was associated with the best prognosis. When treated as a continuous variable, the log-transformed concentration of baseline cfDNA p.V600E was significantly associated with both PFS and OS. This effect was retained in the multivariate OS Cox model adjusted for Eastern Cooperative Oncology Group performance status, the presence of brain metastases, patient age, and previous systemic treatment. Monitoring of plasma BRAF p.V600E cfDNA concentrations in patients with metastatic melanoma on targeted therapy may have prognostic value. Undetectable cfDNA p.V600E before and during treatment was associated with a favorable prognosis.

Kras mutation correlating with circulating regulatory T cells predicts the prognosis of advanced pancreatic cancer patients.

PurposeKras mutation and abnormal immune status are associated with pancreatic cancer development and progression. In this study, we evaluated the Kras mutation status in circulating tumor DNA and circulating T cell subsets in a cohort of advanced pancreatic cancer patients.MethodsSamples were retrospectively obtained from a series of 210 pathological advanced pancreatic cancer patients between 2012 and 2014. The Kras mutation status was detected in cell‐free circulating tumor DNA (ctDNA) by ddPCR and circulating T cell subsets were analyzed by flow cytometry.ResultsUnivariate analysis found that tumor node metastasis (TNM) stage, chemotherapy, circulating regulatory T cells, CA19‐9 levels, CA125 levels, and KrasG12D and KrasG12V mutations were significantly related to overall survival in advanced pancreatic cancer patients. Multivariate analysis identified that TNM stage (P = .03, HR:1.422), Tregs (P = .004, HR:1.522), CA19‐9 levels (P = .009, HR:1.488), KrasG12D mutation (P = .044, HR:1.353), and KrasG12V mutation (P = .001, HR:1.667) were independent prognostic markers. Furthermore, we found that KrasG12V mutation in ctDNA was correlated with high circulating proportion of Tregs, and patients with both KrasG12V mutation and high levels of Tregs were associated with extremely poor survival in advanced pancreatic cancer.ConclusionKrasG12V mutation was associated with high circulating regulatory T cell levels, and both of them predicted worse prognosis in advanced pancreatic cancer patients.

Cerebrospinal fluid tumor DNA for liquid biopsy in glioma patients' management: Close to the clinic?

Cell-free circulating tumor DNA (ct-DNA) reflecting the whole tumor spatial and temporal heterogeneity currently represents the most promising candidate for liquid biopsy strategy in glioma. Unlike other solid tumors, it is now widely accepted that the best source of ct-DNA for glioma patients is the cerebrospinal fluid, since blood levels are usually low and detectable only in few cases. A cerebrospinal fluid ct-DNA liquid biopsy approach may virtually support all the stages of glioma management, from facilitating molecular diagnosis when surgery is not feasible, to monitoring tumor response, identifying early recurrence, tracking longitudinal genomic evolution, providing a new molecular characterization at recurrence and allowing patient selection for targeted therapies. This review traces the history of ct-DNA liquid biopsy in the field of diffuse malignant gliomas, describes its current status and analyzes what are the future perspectives and pitfalls of this potentially revolutionary molecular tool.

Identification of circulating tumor DNA using a targeted 545-gene next generation sequencing panel in patients with gastric cancer.

Gastric cancer (GC) is characterized by unique genetic aberrations. Some of these mutations may be used to predict tumor prognosis or to guide patient therapy. Cell-free circulating tumor DNA (ctDNA) has been considered a promising alternative to biopsy to identify genome aberrations. However, no standardized methods to detect ctDNA variations in patients with GC are currently available. In the present study, the targeted sequencing of 545 genes was used to identify somatic alterations in tissues and matched plasma samples of nine patients with GC. Driver gene mutations were detected in matched tissues and plasma ctDNA. The mutated reads concordance rate of ctDNA in GC tissues with matched tissues was 45%. A true positive copy number gain of human epidermal growth factor receptor 2 in plasma from patients with GC was identified. Furthermore, the ctDNA fraction in plasma cell-free DNA (cfDNA) was positively correlated with metastasis lymph node number and with lactate dehydrogenase level. In conclusion, results from the present study suggested that targeted sequencing of plasma ctDNA may be considered a potential option for the clinical monitoring of GC.

Co-occurring Alterations in the RAS-MAPK Pathway Limit Response to MET Inhibitor Treatment in MET Exon 14 Skipping Mutation-Positive Lung Cancer.

Although patients with advanced-stage non-small cell lung cancers (NSCLC) harboring MET exon 14 skipping mutations (METex14) often benefit from MET tyrosine kinase inhibitor (TKI) treatment, clinical benefit is limited by primary and acquired drug resistance. The molecular basis for this resistance remains incompletely understood. Targeted sequencing analysis was performed on cell-free circulating tumor DNA obtained from 289 patients with advanced-stage METex14-mutated NSCLC. Prominent co-occurring RAS-MAPK pathway gene alterations (e.g., in KRAS, NF1) were detected in NSCLCs with METex14 skipping alterations as compared with EGFR-mutated NSCLCs. There was an association between decreased MET TKI treatment response and RAS-MAPK pathway co-occurring alterations. In a preclinical model expressing a canonical METex14 mutation, KRAS overexpression or NF1 downregulation hyperactivated MAPK signaling to promote MET TKI resistance. This resistance was overcome by cotreatment with crizotinib and the MEK inhibitor trametinib. Our study provides a genomic landscape of co-occurring alterations in advanced-stage METex14-mutated NSCLC and suggests a potential combination therapy strategy targeting MAPK pathway signaling to enhance clinical outcomes.

Next generation sequencing of cell free circulating tumor DNA in blood samples of recurrent and metastatic head and neck cancer patients.

BackgroundEffective targeted therapy is lacking in head and neck cancer (HNC). The use of next generation sequencing (NGS) has been suggested as a way to potentially expand therapeutic options and improve outcomes. This study was performed in order to further characterize blood sample cell-free circulating tumor DNA (ctDNA) in advanced HNC patients, to determine its ability to identify actionable mutations, and to elucidate its potential role in patient management.MethodsRetrospective analysis of 60 patients with recurrent and metastatic (R/M) HNCs who underwent molecular profiling of blood samples utilizing Guardant360, a 70-gene ctDNA NGS platform. ctDNA sequencing data was compared to tumor NGS data, when available. Best response to therapy was assessed using RECIST measures.ResultsThe most common tumor type was oropharyngeal squamous cell carcinoma (n=21). Other cancer types included salivary gland (n=8) and thyroid (n=4). The most common mutations identified by blood analysis were TP53 (68% of patients), PIK3CA (34% of patients), NOTCH1 (20% of patients), and ARID1A (15% of patients). These findings were consistent with results from tumor sequencing data (n=30) where TP53 (48%) and PIK3CA (24%) were also the most common. Seventy-three percent (n=22) of patients had alterations identified in blood that were not present in tumor specimens. In patients with squamous cell carcinoma, 66% had an off-label option identified and 90% had a trial option identified, while 50% of patients with salivary primaries had off-label option identified and 75% had trial options identified. All patients (n=3, 100%) with thyroid primaries had off-label and clinical trial options identified. Of patients with actionable mutations, 13% (n=8) received matched targeted therapy (MTT). Three patients had stable disease (37.5%), 3 had progressive disease (37.5%), and 2 (25%) were not evaluated at the time of follow up. Of those who did not receive targeted therapy (n=21), 11 patients had stable disease (52.4%), 9 had progressive disease (42.9%), and 1 had a complete response (4.8%).ConclusionsAlterations identified by ctDNA may help inform management decisions in advanced HNC. The majority of patients had unique mutations identified on ctDNA. The role of NGS of ctDNA should be explored in future studies.

Circulating tumor cell free DNA from plasma and urine in the clinical management of colorectal cancer.

Tissue biopsy remains the conventional technique for tumor genotyping. The main limitations are it is invasive and provides only partial snapshot during disease progression. Liquid biopsy approaches via plasma and urine are possible alternatives, and the current study aims to provide comparative analyses for plasma and urine derived disease genotyping. Blood and urine specimens were collected from 150 individuals with metastatic colorectal cancer (mCRC). Patients had multiple metastases and advanced stages of cancer. Common genetic mutations including KRAS and BRAF genetic abnormalities were evaluated. Patients were also serially monitored and compared. In all cases, plasma and urine cell free DNA were successfully recovered and were of good quality for genetic analysis. Median recovered DNA from both urine and plasma samples were higher in mCRC patients than healthy volunteers indicating disease associations. Among the identified mutations, matched tumor tissue profiles compared to results from plasma ctDNA was 92%. For urine cell free DNA, the concordance among the identified mutations was 91%. Both sample types were closely matched to reference standards of tissue biopsy and indicated good clinical utility. Serial measurements indicated trends within each patient group that was linked with disease outcome. In the current study, our data indicated that both plasma and urine cell free DNA can be utilized to address possible disease progression in colorectal cancer patients. More importantly, this also provide risk stratifications that correlated to disease outcome. This can potentially aid in early clinical intervention for patients with possibly worse outcomes.