Liquid biopsy in the clinic: A prospective study of plasma circulating tumor DNA (ctDNA) next generation sequencing (NGS) in patients with advanced non-small cell lung cancers to match targeted therapy.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 11536-11536
Author(s):  
Joshua K. Sabari ◽  
Ai Ni ◽  
Adrian Lee ◽  
Nick Pavlakis ◽  
Stephen John Clarke ◽  
...  
Keyword(s):  
Targeted Therapy ◽  
Liquid Biopsy ◽  
Tumor Heterogeneity ◽  
Turnaround Time ◽  
Circulating Tumor Dna ◽  
Optimal Timing ◽  
Positive Finding ◽  
Negative Finding ◽  
Clinical Concern ◽  
Oncogenic Driver

11536 Background: Liquid biopsy for plasma ctDNA NGS is a rapidly evolving science. Plasma ctDNA assays are commercially available and are increasingly adopted in the community with a paucity of evidence-based guidance. We set out to study the optimal timing and utility of plasma ctDNA NGS in clinic. Methods: Pts with advanced NSCLC who were driver unknown, defined as not having prior tissue NGS or clinical concern for tumor heterogeneity that may affect treatment decisions, were eligible. Peripheral blood was collected in a Streck tube (10mL), DNA extracted, and subjected to a bias-corrected hybrid-capture 21 gene targeted NGS assay in a CLIA lab with unique reads at 3000x and sensitive detection at variant allele frequency above 0.1% (ResolutionBio Bellevue, WA). Pts also had concurrent tissue NGS via MSK IMPACT. Clinical endpoints included detection of oncogenic drivers in plasma, ability to match pts to targeted therapy, concordance and turnaround time of plasma and tissue NGS. Results: Forty-one pts were prospectively accrued. Plasma ctDNA detected an oncogenic driver in 39% (16/41) of pts, of whom 17% (7/41) were matched to targeted therapy; including pts matched to clinical trials for HER2 exon 20 insertionYVMA, BRAF L597Q and MET exon14. Mean turnaround time for plasma was 7 days (4-12) and 28 days (20-43) for tissue. Plasma ctDNA was detected in 56% (23/41) of pts; detection was 40% (8/20) if blood was drawn on active therapy and 71% (15/21) if drawn off therapy, either at diagnosis or progression (Odds ratio 0.28, 95% CI 0.06 - 1.16; p = 0.06). All pts had concurrent tissue NGS; of the 10 samples resulted, there was 100% driver concordance between tissue and plasma in pts drawn off therapy. Conclusions: In pts who were driver unknown or who had clinical concern for tumor heterogeneity, plasma ctDNA NGS identified a variety of oncogenic drivers with a short turnaround time and matched them to targeted therapy. Plasma ctDNA detection was more frequent at diagnosis of metastatic disease or at progression. A positive finding of an oncogenic driver in plasma is highly specific, but a negative finding may still require tissue biopsy.

Blood-based tumor mutational burden from circulating tumor DNA (ctDNA) across advanced solid malignancies using a commercially available liquid biopsy assay.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 3040-3040
Author(s):  
Leylah Drusbosky ◽  
Mehmet Asim Bilen ◽  
Georges Azzi ◽  
Pedro C. Barata ◽  
Patrick M Boland ◽  
...  
Keyword(s):  
Liquid Biopsy ◽  
Turnaround Time ◽  
Circulating Tumor Dna ◽  
Cancer Type ◽  
Advanced Cancer Patients ◽  
Solid Malignancies ◽  
Tumor Mutational Burden ◽  
Cancer Types ◽  
Tumor Types ◽  
Next Generation Sequencing Ngs

3040 Background: Pembrolizumab was recently FDA approved across solid tumors for TMB scores ≥ 10mut/Mb as assessed by next-generation sequencing (NGS) of tissue (tTMB). A prior study of advanced cancer patients treated with immunotherapy found that higher somatic TMB, as defined by the 80th percentile in each histology, was associated with better overall survival. Previously, bTMB assessed by ctDNA from patients with newly diagnosed advanced NSCLC at a score of 16 mut/MB correlated with a tTMB score of 10 mut/MB. TMB levels vary by cancer type, line of treatment, and therapy received; the distribution of bTMB scores across solid tumor types has not been well characterized. Here we report the distribution of bTMB scores in patients with advanced malignancies. Methods: We queried 5,610 samples from patients with different cancer types undergoing clinical cell-free DNA testing (Guardant360; Redwood City, CA) and assessed bTMB scores from October 2020 - January 2021. bTMB score was derived via a previously described computational algorithm examining the total number of synonymous and non-synonymous SNVs and indels across a 1.0MB genomic footprint. We assessed the success rate of bTMB evaluation, overlap with microsatellite instability (MSI) status, and defined the distribution of bTMB levels across indications in this dataset. Results: bTMB score was successfully assessed in 4,275/5,610 (76.3%) samples (Table). The majority of samples (58%) were tested at disease progression as compared to initial diagnosis (42%). The median turnaround time from sample receipt to clinical reporting was 11 days and decreased to 9 days over the course of the study. For the majority of cancer types the 80th percentile TMB was ≥ 16 mut/MB tissue equivalency. Conclusions: Our analysis demonstrates the feasibility of measuring bTMB using a commercially available liquid biopsy assay. bTMB scores trended higher than tTMB previously reported in these cancer types, reflecting the ability of ctDNA to better capture tumor heterogeneity. cfDNA may allow for exploration of bTMB evolution throughout treatment. TMB should be interpreted in the context of disease, treatment, and method; these data establish a pan-cancer benchmark for bTMB which will serve as a resource for further studies.[Table: see text]

Clinical performance of a comprehensive novel liquid biopsy test for identifying non-small cell lung cancer (NSCLC) patients for treatment with osimertinib.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 9553-9553
Author(s):  
Jhanelle Elaine Gray ◽  
Ji-Youn Han ◽  
Aino Telaranta-Keerie ◽  
Xiangning Huang ◽  
Alexander Kohlmann ◽  
...  
Keyword(s):  
Targeted Therapy ◽  
Liquid Biopsy ◽  
Clinical Performance ◽  
Cox Model ◽  
Progression Free Survival ◽  
Circulating Tumor Dna ◽  
Single Nucleotide Variants ◽  
Biomarker Testing ◽  
Nsclc Patients ◽  
Egfr Tki

9553 Background: Genotyping is required to identify cancer patients (pts) eligible for targeted therapy; however, many do not receive biomarker testing, in part due to limitations associated with tissue-only genotyping practices and the growing list of biomarkers recommended to be tested. Liquid biopsy overcomes many of these limitations but is not yet fully adopted. We report here the clinical performance of a comprehensive liquid biopsy test based on next generation sequencing (NGS) of circulating tumor DNA (ctDNA) for the identification of NSCLC patients with EGFR exon 19 deletions (ex19del) or L858R mutations ( EGFRm) or EGFR T790M, eligible for treatment with osimertinib. Methods: 441 (79%) of 556 pts randomized in FLAURA (NCT02296125; first-line osimertinib vs comparator EGFR TKI in EGFRm NSCLC) and 300 (72%) of 419 pts from AURA3 (NCT012151981; osimertinib vs chemotherapy in NSCLC pts with T790M at progression on EGFR TKI) were retrospectively tested with Guardant360 (G360), a 74-gene ctDNA NGS assay assessing single nucleotide variants, insertion-deletions, amplifications, and fusions in genes relevant to targeted therapy selection as well as microsatellite instability. Progression-free survival (PFS) of pts with EGFRm or T790M detected by G360 was compared to pts detected by the cobas EGFR Mutation Test (cobas) using tissue or plasma with an unadjusted cox model. Results: Treatment with osimertinib was associated with a significant PFS benefit relative to control therapy in NSCLC pts with EGFRm (FLAURA) and T790M (AURA3) detected using G360 (Table). Observed clinical benefit for pts with EGFRm or T790M detected by G360 was similar to that for pts with EGFRm or T790M identified by cobas using tissue or plasma specimens. Conclusions: This analysis demonstrates that G360 accurately identifies pts for osimertinib therapy while simultaneously providing comprehensive genotyping for other therapeutic molecular targets. The application of NGS liquid biopsy has the potential to increase rates of pts genotyped and access to precision medicine. [Table: see text]

MSK-ACCESS for noninvasive somatic mutation profiling of lung cancers utilizing circulating tumor DNA.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 3529-3529 ◽  
Author(s):  
Emily S. Lebow ◽  
Yonina R. Murciano-Goroff ◽  
Angela Rose Brannon ◽  
Ahmet Zehir ◽  
Maria E. Arcila ◽  
...  
Keyword(s):  
Targeted Therapy ◽  
Disease Progression ◽  
Stage Iv ◽  
Turnaround Time ◽  
Circulating Tumor Dna ◽  
Initial Diagnosis ◽  
Rank Test ◽  
Precision Oncology ◽  
Gene Assay ◽  
Progression Of Disease

3529 Background: Circulating cell-free DNA (cfDNA) next-generation sequencing (NGS) is a promising strategy for non-invasive molecular profiling of cancers. MSK-ACCESS (Analysis of Circulating cfDNA to Evaluate Somatic Status) is a hybridization-capture targeted NGS assay that detects somatic variants in select exons of 129 genes with matched white blood cell sequencing. We present the initial clinical experience with MSK-ACCESS among patients with advanced non-small cell lung cancer (NSCLC). Methods: Patients with stage IV NSCLC underwent prospective MSK-ACCESS testing at initial diagnosis or progression of disease on targeted therapy between June 2019 and January 2020. A subset of patients had matched tissue-based NGS testing with the MSK-IMPACT 468 gene assay. We assessed oncogenic driver detection, turnaround time, plasma-tissue concordance, and matching to therapy. National Comprehensive-Cancer Network designated driver alterations were included in evaluation of tissue-plasma concordance (EGFR, ALK, KRAS, MET, RET, BRAF, HER2, ROS1, NTRK). Turnaround time was compared by a two-sided Wilcoxon signed-rank test. Results: A total of 201 patients with NSCLC had MSK-ACCESS testing at initial diagnosis (n = 79) or following progression of disease (n = 122). The median turn-around-time from plasma collection to MSK-ACCESS report was 16 days (range: 9 – 36 days) compared to 19 days from lab receipt of tissue to report (range: 12 – 57) for MSK-IMPACT (p < 0.001). Among patients with a driver detected on MSK-ACCESS, 100% (92/92) had an identical driver detected on MSK-IMPACT. Among patients with a driver detected on MSK-IMPACT, 75% (92/123) had an identical driver detected on MSK-ACCESS. This rate was similar among patients who were treatment-naive (74%; 64/86) and had disease progression (76%, 28/37) at the time of MSK-ACCESS. MSK-ACCESS identified driver alterations that directly guided first-line targeted therapy (n = 18) with response in all patients with available radiographic follow-up (n = 10), including a patient without confirmatory tissue testing. MSK-ACCESS identified resistance alterations among patients with disease progression including EGFR T790M, EGFR C797S, ROS1 G2032R, as well as a BRAF fusion. Conclusions: MSK-ACCESS successfully identified driver alterations with high concordance to tissue-based testing, directly guided patients to therapy with clinical responses, and detected known and novel resistance mechanisms. This assay warrants further clinical development to guide and facilitate precision oncology.

18 New method of assessing tumor heterogeneity utilizing both circulating tumor DNA and tissue DNA to predict the response to immunotherapy

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A18-A18
Author(s):  
Jaeyoun Choi ◽  
Myungwoo Nam ◽  
Stanislav Fridland ◽  
Jinyoung Hwang ◽  
Chan Mi Jung ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Immune Response ◽  
Allele Frequency ◽  
Scoring System ◽  
Tumor Heterogeneity ◽  
Metastatic Breast ◽  
Circulating Tumor Dna ◽  
List Type ◽  
Multiple Biopsies ◽  
Tumor Dna

BackgroundTumor heterogeneity assessment may help predict response to immunotherapy. In melanoma mouse models, tumor heterogeneity impaired immune response.1 In addition, among lung cancer patients receiving immunotherapy, the high clonal neoantigen group had favorable survival and outcomes.2 Ideal methods of quantifying tumor heterogeneity are multiple biopsies or autopsy. However, these are not feasible in routine clinical practice. Circulating tumor DNA (ctDNA) is emerging as an alternative. Here, we reviewed the current state of tumor heterogeneity quantification from ctDNA. Furthermore, we propose a new tumor heterogeneity index(THI) based on our own scoring system, utilizing both ctDNA and tissue DNA.MethodsSystematic literature search on Pubmed was conducted up to August 18, 2020. A scoring system and THI were theoretically derived.ResultsTwo studies suggested their own methods of assessing tumor heterogeneity. One suggested clustering mutations with Pyclone,3 and the other suggested using the ratio of allele frequency (AF) to the maximum somatic allele frequency (MSAF).4 According to the former, the mutations in the highest cellular prevalence cluster can be defined as clonal mutations. According to the latter, the mutations with AF/MSAF<10% can be defined as subclonal mutations. To date, there have been no studies on utilizing both ctDNA and tissue DNA simultaneously to quantify tumor heterogeneity. We hypothesize that a mutation found in only one of either ctDNA or tissue DNA has a higher chance of being subclonal.We suggest a scoring system based on the previously mentioned methods to estimate the probability for a mutant allele to be subclonal. Adding up the points that correspond to the conditions results in a subclonality score (table 1). In a given ctDNA, the number of alleles with a subclonality score greater than or equal to 2 divided by the total number of alleles is defined as blood THI (bTHI) (figure 1). We can repeat the same calculation in a given tissue DNA for tissue THI (tTHI) (figure 2). Finally, we define composite THI (cTHI) as the mean of bTHI and tTHI.Abstract 18 Table 1Subclonality scoreAbstract 18 Figure 1Hypothetical distribution of all alleles found in ctDNA bTHI = the number of alleles with a subclonality score greater than or equal to 2/the total number of alleles found in ctDNA = 10/20 =50%Abstract 18 Figure 2Hypothetical distribution of all alleles found in tissue DNA tTHI= the number of alleles with a subclonality score greater than or equal to 2/the total number of alleles found in tissue DNA = 16/40 = 40% cTHI= (bTHI + tTHI)/2 = 45%ConclusionsTumor heterogeneity is becoming an important biomarker for predicting response to immunotherapy. Because autopsy and multiple biopsies are not feasible, utilizing both ctDNA and tissue DNA is the most comprehensive and practical approach. Therefore, we propose cTHI, for the first time, as a quantification measure of tumor heterogeneity.ReferencesWolf Y, Bartok O. UVB-Induced Tumor Heterogeneity Diminishes Immune Response in Melanoma. Cell 2019;179:219–235.McGranahan N, Swanton C. Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade. Science 2016;351:1463–1469.Ma F, Guan Y. Assessing tumor heterogeneity using ctDNA to predict and monitor therapeutic response in metastatic breast cancer. Int J Cancer 2020;146:1359–1368.Liu Z, Xie Z. Presence of allele frequency heterogeneity defined by ctDNA profiling predicts unfavorable overall survival of NSCLC. Transl Lung Cancer Res 2019;8:1045–1050.

scholarly journals Emerging Lab-on-a-Chip Approaches for Liquid Biopsy in Lung Cancer: Status in CTCs and ctDNA Research and Clinical Validation

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2101
Author(s):  
Ângela Carvalho ◽  
Gabriela Ferreira ◽  
Duarte Seixas ◽  
Catarina Guimarães-Teixeira ◽  
Rui Henrique ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Liquid Biopsy ◽  
Residual Disease ◽  
Lab On A Chip ◽  
Microfluidic Devices ◽  
Early Recurrence ◽  
Circulating Tumor Dna ◽  
Clinical Validation ◽  
Liquid Biopsies ◽  
Lung Cancer Patients

Despite the intensive efforts dedicated to cancer diagnosis and treatment, lung cancer (LCa) remains the leading cause of cancer-related mortality, worldwide. The poor survival rate among lung cancer patients commonly results from diagnosis at late-stage, limitations in characterizing tumor heterogeneity and the lack of non-invasive tools for detection of residual disease and early recurrence. Henceforth, research on liquid biopsies has been increasingly devoted to overcoming these major limitations and improving management of LCa patients. Liquid biopsy is an emerging field that has evolved significantly in recent years due its minimally invasive nature and potential to assess various disease biomarkers. Several strategies for characterization of circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) have been developed. With the aim of standardizing diagnostic and follow-up practices, microfluidic devices have been introduced to improve biomarkers isolation efficiency and specificity. Nonetheless, implementation of lab-on-a-chip platforms in clinical practice may face some challenges, considering its recent application to liquid biopsies. In this review, recent advances and strategies for the use of liquid biopsies in LCa management are discussed, focusing on high-throughput microfluidic devices applied for CTCs and ctDNA isolation and detection, current clinical validation studies and potential clinical utility.

scholarly journals Diving into the Pleural Fluid: Liquid Biopsy for Metastatic Malignant Pleural Effusions

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2798
Author(s):  
Maria Alba Sorolla ◽  
Anabel Sorolla ◽  
Eva Parisi ◽  
Antonieta Salud ◽  
José M. Porcel
Keyword(s):  
Pleural Fluid ◽  
Liquid Biopsy ◽  
Cell Types ◽  
Circulating Tumor Dna ◽  
Therapeutic Interventions ◽  
Driver Mutations ◽  
Pleural Effusions ◽  
Malignant Pleural Effusions ◽  
Micro Rnas ◽  
Low Sensitivity

Liquid biopsy is emerging as a promising non-invasive diagnostic tool for malignant pleural effusions (MPE) due to the low sensitivity of conventional pleural fluid (PF) cytological examination and the difficulty to obtain tissue biopsies, which are invasive and require procedural skills. Currently, liquid biopsy is increasingly being used for the detection of driver mutations in circulating tumor DNA (ctDNA) from plasma specimens to guide therapeutic interventions. Notably, malignant PF are richer than plasma in tumor-derived products with potential clinical usefulness, such as ctDNA, micro RNAs (miRNAs) and long non-coding RNAs (lncRNAs), and circulating tumor cells (CTC). Tumor-educated cell types, such as platelets and macrophages, have also been added to this diagnostic armamentarium. Herein, we will present an overview of the role of the preceding biomarkers, collectively known as liquid biopsy, in PF samples, as well as the main technical approaches used for their detection and quantitation, including a proper sample processing. Technical limitations of current platforms and future perspectives in the field will also be addressed. Using PF as liquid biopsy shows promise for use in current practice to facilitate the diagnosis and management of metastatic MPE.

scholarly journals Liquid biopsy in peritoneal fluid and plasma as a prognostic factor in advanced colorectal and appendiceal tumors after complete cytoreduction and hyperthermic intraperitoneal chemotherapy

2020 ◽  
Vol 12 ◽  
pp. 175883592098135
Author(s):  
Irene López-Rojo ◽  
Susana Olmedillas-López ◽  
Pedro Villarejo Campos ◽  
Víctor Domínguez Prieto ◽  
Javier Barambio Buendía ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Intraperitoneal Chemotherapy ◽  
Liquid Biopsy ◽  
Peritoneal Fluid ◽  
Hyperthermic Intraperitoneal Chemotherapy ◽  
Digital Pcr ◽  
Circulating Tumor Dna ◽  
Before And After ◽  
Colorectal Origin ◽  
Systemic Relapse

Background: Positive cytology has been identified as an independent negative prognostic factor in patients with peritoneal metastases (PM) of colorectal origin. Liquid biopsy in plasma may detect increasing levels of circulating tumor DNA (ctDNA) and could help predict systemic relapse in patients with colorectal cancer, but little is known about the role of liquid biopsy in peritoneal fluid. The aim of this study was to evaluate the prognostic value of peritoneal fluid and plasma liquid biopsy in patients undergoing complete cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CC-HIPEC). Methods: A longitudinal prospective study was designed in patients with KRAS-mutated colorectal or appendiceal primary tumor, including PM of colorectal origin, pseudomyxoma peritonei and patients at high risk of developing PM (selected for second-look surgery). Eleven patients were recruited according to inclusion and exclusion criteria. ctDNA from plasma and peritoneal fluid before and after HIPEC was studied by droplet digital PCR looking for KRAS mutation. A close follow-up was scheduled (mean of 28.5 months) to monitor for systemic and peritoneal recurrences. Results: All patients with positive plasma postHIPEC had systemic relapse and four patients died as a result, while those with negative plasma postHIPEC did not relapse. Patients with negative peritoneal ctDNA after CC-HIPEC did not present peritoneal relapse. Of six patients with positive peritoneal ctDNA postHIPEC, two presented peritoneal recurrence and four systemic relapses. Conclusions: Treatment with CC-HIPEC does not always neutralize ctDNA in peritoneal fluid, and its persistence after treatment may predict adverse outcome. Despite being a proof of concept, an adequate correlation between liquid biopsy in plasma and peritoneal fluid with both systemic and peritoneal relapse has been observed.

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