scholarly journals Plasma ctDNA is a tumor tissue surrogate and enables clinical-genomic stratification of metastatic bladder cancer

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Gillian Vandekerkhove ◽  
Jean-Michel Lavoie ◽  
Matti Annala ◽  
Andrew J. Murtha ◽  
Nora Sundahl ◽  
...  
Keyword(s):  
Tumor Tissue ◽  
Treatment Options ◽  
Circulating Tumor Dna ◽  
Molecular Stratification ◽  
Clinical Biomarkers ◽  
Surgery Patient ◽  
Metastatic Urothelial Carcinoma ◽  
Ctdna Analysis ◽  
Clinical Genomic ◽  
Tumor Dna

AbstractMolecular stratification can improve the management of advanced cancers, but requires relevant tumor samples. Metastatic urothelial carcinoma (mUC) is poised to benefit given a recent expansion of treatment options and its high genomic heterogeneity. We profile minimally-invasive plasma circulating tumor DNA (ctDNA) samples from 104 mUC patients, and compare to same-patient tumor tissue obtained during invasive surgery. Patient ctDNA abundance is independently prognostic for overall survival in patients initiating first-line systemic therapy. Importantly, ctDNA analysis reproduces the somatic driver genome as described from tissue-based cohorts. Furthermore, mutation concordance between ctDNA and matched tumor tissue is 83.4%, enabling benchmarking of proposed clinical biomarkers. While 90% of mutations are identified across serial ctDNA samples, concordance for serial tumor tissue is significantly lower. Overall, our exploratory analysis demonstrates that genomic profiling of ctDNA in mUC is reliable and practical, and mitigates against disease undersampling inherent to studying archival primary tumor foci. We urge the incorporation of cell-free DNA profiling into molecularly-guided clinical trials for mUC.

scholarly journals Mechanisms of Acquired Resistance to Savolitinib, a Selective MET Inhibitor in MET-Amplified Gastric Cancer

2020 ◽  
pp. 222-232 ◽  
Author(s):  
Melanie M. Frigault ◽  
Aleksandra Markovets ◽  
Barrett Nuttall ◽  
Kyoung-Mee Kim ◽  
Se Hoon Park ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Progression ◽  
Tumor Tissue ◽  
Treatment Options ◽  
Acquired Resistance ◽  
Circulating Tumor Dna ◽  
Resistance Mechanisms ◽  
Met Inhibitor ◽  
Tumor Dna ◽  
Generation Sequencing

PURPOSE Some gastric cancers harbor MET gene amplifications that can be targeted by selective MET inhibitors to achieve tumor responses, but resistance eventually develops. Savolitinib, a selective MET inhibitor, is beneficial for treating patients with MET-driven gastric cancer. Understanding the resistance mechanisms is important for optimizing postfailure treatment options. PATIENTS AND METHODS Here, we identified the mechanisms of acquired resistance to savolitinib in 3 patients with gastric cancer and MET-amplified tumors who showed a clinical response and then cancer progression. Longitudinal circulating tumor DNA (ctDNA) is useful for monitoring resistance during treatment and progression when rebiopsy cannot be performed. RESULTS Using a next-generation sequencing 100-gene panel, we identified the target mechanisms of resistance MET D1228V/N/H and Y1230C mutations or high copy number MET gene amplifications that emerge when resistance to savolitinib develops in patients with MET-amplified gastric cancer. CONCLUSION We demonstrated the utility of ctDNA in gastric cancer and confirmed this approach using baseline tumor tissue or rebiopsy.

Circulating tumor DNA analysis of genomic alterations in metastatic urothelial carcinoma from NCT03113266 study.

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 486-486
Author(s):  
Haige Chen ◽  
Ruiyun Zhang ◽  
Feng Xie ◽  
Pan Du ◽  
Yue Zhang ◽  
...  
Keyword(s):  
Urothelial Carcinoma ◽  
Liquid Biopsy ◽  
Circulating Tumor Dna ◽  
Genomic Alterations ◽  
Invasive Approach ◽  
Synonymous Mutations ◽  
Therapeutic Decisions ◽  
Metastatic Urothelial Carcinoma ◽  
Ctdna Analysis ◽  
Tumor Dna

486 Background: Recent studies have suggested the predictive value of liquid biopsies for immune checkpoint inhibitors. NCT03113266 is a multicenter phase II trial to evaluate the safety and efficacy of toripalimab (anti-PD-1) in metastatic urothelial carcinoma (mUC). Here we report the initial circulating tumor DNA (ctDNA) analysis of genomic alterations from a single-institution biomarker cohort. Methods: Twenty-seven mUC patients receiving toripalimab (3 mg/kg Q2W) at Ren Ji Hospital were enrolled and consented to Institutional Review Board-approved protocols permitting biomaterial collection and genetic sequencing. Serial plasma specimens were obtained at baseline and every two cycles. The 600-gene panel (PredicineATLAS) liquid biopsy assay was applied to assess somatic variants and blood tumor mutational burden (bTMB). Results: The ctDNA assays were performed successfully for 100% of baseline samples (n = 27) with average read depth of 24,389 (range 14,000-31,700). A total of 571 non-synonymous mutations were identified, demonstrating prevalent aberrations in TP53 (63%), TERT promoter (30%), KDM2D (26%), PPM1D (26%), and KDM6A (26%). In 5 patients, FGFR3 variants were detected, including 6 missense sites and 4 FGFR3- TACC3 fusion events. Copy number gain ( FGFR1, ERBB2) and loss ( PTEN, BRCA2, CDKN2A) were pinpointed. TMB estimation revealed one case with an exceptionally high bTMB (62.6 mutations/Mb) and genomic features of microsatellite instability (MSI). Concordance with tumor-based genotyping and ctDNA kinetics during toripalimab treatment are being determined. Conclusions: Prospective ctDNA analysis using the PredicineATLAS liquid biopsy assay is feasible and represents a minimally invasive approach to detecting cancer-specific genetic landscape and potentially guiding personalized therapeutic decisions in mUC patients. Clinical trial information: NCT03113266 . Research Sponsor: Shanghai Junshi BioSciences; Huidu Shanghai Medical Sciences Ltd

Landscape of circulating tumor DNA profiling of advanced pancreatic cancer (PDAC).

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 289-289
Author(s):  
Kabir Mody ◽  
Pashtoon Murtaza Kasi ◽  
Phani Keerthi Surapaneni ◽  
Mitesh J. Borad ◽  
Daniel H. Ahn ◽  
...  
Keyword(s):  
Treatment Options ◽  
Advanced Pancreatic Cancer ◽  
Gene Mutations ◽  
Median Number ◽  
Circulating Tumor Dna ◽  
Genomic Alteration ◽  
Single Nucleotide Variants ◽  
Tissue Biopsy ◽  
Ctdna Analysis ◽  
Tumor Dna

289 Background: PDAC has limited treatment options. Genomic analyses have led to development of targeted therapies now in several clinical trials, and may enable the discovery of new treatment options. However, biopsy often yields limited tissue, thus hampering tissue-based profiling opportunities. Data regarding circulating tumor DNA (ctDNA) profiling in PDAC during real time clinical practice is limited. Methods: We performed ctDNA NGS analysis in pts with advanced PDAC (December 2014–August 2018). ctDNA analysis was performed using Guardant 360 (Guardant Health, CA), which detects single nucleotide variants, amplifications, fusions, and specific insertion/deletion mutations in up to 73 different genes. The mutant allele fraction (MAF) for detected alterations was calculated relative to wild type in ctDNA. Therapeutic relevance (TR) was defined as possible treatments within OncoKB levels 1-3B and R1. The study was conducted in accordance with Mayo Clinic Institutional Review Board requirements. Results: Among 171 pts and 206 total samples, ctDNA NGS revealed at least one genomic alteration in 150 pts (88%). Median number of alterations per patient was 3 [range, 1-15]. The total number of unique alterations was 450 with the most commonly altered genes being: TP53 (181 alterations, 40%), followed by KRAS (118 alterations, 26%), CDKN2A (23 alterations, 5%), SMAD4 (15 alterations, 3%), EGFR (11 alterations, 2.4%), PIK3CA (9 alterations, 2%), GNAS (8 alterations, 1.5%). Amplifications were noted in 16 genes, including BRAF, CCND2, CCNE1, CDK4, CDK6, EGFR, ERBB2, FGFR1, FGFR2, KIT, KRAS, MET, MYC, PDGFRA, PIK3CA and RAF1. Therapeutically relevant alterations were seen in 95 pts of the 150 pts (63%). Tissue based profiling (Results to be shown) was done in 56 (33%) pts of total 171 pts with a median of 130 days between ctDNA and tissue biopsy. KRAS and TP53 were the most common gene mutations found in patients with both liquid and tissue biopsy results. Conclusions: ctDNA plasma profiling of pts with advanced PDAC is a feasible alternative method to gather comprehensive genomic data.

Landscape of circulating tumor DNA and tissue-based profiling in advanced cholangiocarcinoma.

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 291-291
Author(s):  
Kabir Mody ◽  
Pashtoon Murtaza Kasi ◽  
Phani Keerthi Surapaneni ◽  
Tanios S. Bekaii-Saab ◽  
Ramesh K. Ramanathan ◽  
...  
Keyword(s):  
Treatment Options ◽  
Gene Mutations ◽  
Median Number ◽  
Circulating Tumor Dna ◽  
Genomic Alteration ◽  
Single Nucleotide Variants ◽  
Synonymous Mutations ◽  
Tissue Biopsy ◽  
Ctdna Analysis ◽  
Tumor Dna

291 Background: Cholangiocarcinoma (CCA) has limited treatment options. Genomic analyses have led to development of targeted therapies now in clinical trials, and may enable discovery of new treatment options. However, biopsy often yields limited tissue, thus hampering tissue-based profiling opportunities. Comparative data regarding circulating tumor DNA (ctDNA) analysis and tissue based profiling in CCA are limited. Methods: We performed ctDNA NGS analysis along with tissue based profiling in pts with advanced CCA (January 2015- February 2018). ctDNA analysis was performed using Guardant 360 (Guardant Health, CA) which detects single nucleotide variants, amplifications, fusions, and specific insertion/deletion mutations in up to 73 different genes and the majority of tissue based profiling using Foundation One. The mutant allele fraction (MAF) for detected alterations was calculated relative to wild type in ctDNA. Therapeutic relevance was defined as alterations within OncoKB levels 1-3B and R1. The study was conducted in accordance with Mayo Clinic IRB requirements. Results: Among 124 pts and 139 total samples, ctDNA NGS revealed at least one genomic alteration (excluding variants of uncertain significance and synonymous mutations) in 89% of pts. Median number of alterations per pt was 3 [range, 1-15], with a median MAF of 0.42% (range, 0.1% - 94.2%). The total number of unique alterations was 321. The most commonly altered genes: TP53 (31%), KRAS (11%), FGFR2 (7%), APC and PIK3CA (each 5%) and ARID1A (3%). Amplifications were noted in 14 genes: BRAF, CCND1, CCND2, CCNE1, CDK4, CDK6, EGFR, ERBB2, FGFR1, FGFR2, MET, MYC, PDGFRA, and PIK3CA. Tissue-based profiling was available in 57 (46%) pts, with a median of 63 days between liquid and tissue biopsy. IDH1, FGFR2, TP53 and KRAS were most common gene mutations found in pts who had both liquid and tissue biopsy done. (Comparative results to be shown). Conclusions: ctDNA plasma profiling of pts with advanced CCA is a feasible alternative method to gather comprehensive genomic data. Further larger cohort studies comparing landscape of alterations seen on ctDNA versus tissue-based assays are needed.

Genomic concordance between profiling of circulating tumor DNA (ctDNA) and matched tissue in metastatic urothelial carcinoma.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 457-457 ◽  
Author(s):  
Gillian Vandekerkhove ◽  
Jean-Michel Lavoie ◽  
Matti Annala ◽  
Nora Sundahl ◽  
Takeshi Sano ◽  
...  
Keyword(s):  
Urothelial Carcinoma ◽  
Somatic Mutations ◽  
Tumor Tissue ◽  
Circulating Tumor Dna ◽  
Driver Gene ◽  
Blood Collection ◽  
Molecular Stratification ◽  
Metastatic Urothelial Carcinoma ◽  
Primary Tissue ◽  
Gene Alterations

457 Background: Biomarkers are urgently needed to facilitate tumor molecular stratification in metastatic urothelial carcinoma (mUC), thus potentially enabling patient selection for targeted- and immuno-therapies. We aimed to assess concordance for clinically-relevant driver gene alterations between same-patient tumor tissue and ctDNA. Methods: Whole blood samples were collected from 90 mUC patients (162 samples in total) for next-generation sequencing of cell-free DNA (cfDNA) and leukocyte DNA. Deep targeted sequencing was performed across a custom 50 bladder cancer gene panel (median cfDNA depth of 986x). Matched archival primary tissue and/or metastatic tissue biopsy was available from 65 patients, and profiled using the same assay. Results: 81% of mUC patients (73/90) had ctDNA fractions above 2% in at least one blood collection (median ctDNA fraction 22%). A high tumor mutation burden (≥25 mutations per Mb) was observed in ctDNA from 20 patients (27%). From ctDNA, TP53 and ARID1A were mutated in 64% and 29% of patients, respectively. Tissue from distant metastatic lesions was available from 17 patients; 82% (62/76) of coding somatic mutations identified were independently detected in the matched ctDNA sample; however, 7/14 discordant calls were attributable to the paired sample having a low ctDNA fraction. Similarly, 89% (88/99) of coding somatic mutations detected in archival primary tissue (cystectomy or nephrectomy) were present in later cfDNA collections. Sequencing multiple sites from archival cystectomies revealed spatially and genomically distinct subclones in 2/4 cases. Conclusions: In mUC, tumor tissue and ctDNA demonstrate remarkably high concordance; our findings support the use of either approach in the characterization of truncal driver gene alterations.

scholarly journals Combining tissue and circulating tumor DNA increases the detection rate of a CTNNB1 mutation in hepatocellular carcinoma

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Stine Karlsen Oversoe ◽  
Michelle Simone Clement ◽  
Britta Weber ◽  
Henning Grønbæk ◽  
Stephen Jacques Hamilton-Dutoit ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Mutation Rate ◽  
Detection Rate ◽  
Tumor Tissue ◽  
Circulating Tumor Dna ◽  
Treatment Modalities ◽  
Advanced Hepatocellular Carcinoma ◽  
Tissue Samples ◽  
The Impact ◽  
Tumor Dna

Abstract Background and aims Studies suggest that mutations in the CTNNB1 gene are predictive of response to immunotherapy, an emerging therapy for advanced hepatocellular carcinoma (HCC). Analysis of circulating tumor DNA (ctDNA) offers the possibility of serial non-invasive mutational profiling of tumors. Combining tumor tissue and ctDNA analysis may increase the detection rate of mutations. This study aimed to evaluate the frequency of the CTNNB1 p.T41A mutation in ctDNA and tumor samples from HCC patients and to evaluate the concordance rates between plasma and tissue. We further evaluated changes in ctDNA after various HCC treatment modalities and the impact of the CTNNB1 p.T41A mutation on the clinical course of HCC. Methods We used droplet digital PCR to analyze plasma from 95 patients and the corresponding tumor samples from 37 patients during 3 years follow up. Results In tumor tissue samples, the mutation rate was 8.1% (3/37). In ctDNA from HCC patients, the CTNNB1 mutation rate was 9.5% (9/95) in the pre-treatment samples. Adding results from plasma analysis to the subgroup of patients with available tissue samples, the mutation detection rate increased to 13.5% (5/37). There was no difference in overall survival according to CTNNB1 mutational status. Serial testing of ctDNA suggested a possible clonal evolution of HCC or arising multicentric tumors with separate genetic profiles in individual patients. Conclusion Combining analysis of ctDNA and tumor tissue increased the detection rate of CTNNB1 mutation in HCC patients. A liquid biopsy approach may be useful in a tailored therapy of HCC.

scholarly journals PATH-06. ASSESSMENT OF CIRCULATING TUMOR DNA IN CEREBROSPINAL FLUID BY WHOLE EXOME SEQUENCING TO DETECT GENOMIC ALTERATIONS OF GLIOBLASTOMA

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii165-ii165
Author(s):  
Hao Duan ◽  
Zhenqiang He ◽  
Zhenghe Chen ◽  
Yonggao Mou
Keyword(s):  
Cerebrospinal Fluid ◽  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Tumor Tissue ◽  
Circulating Tumor Dna ◽  
Genomic Alterations ◽  
Tissue Samples ◽  
Whole Exome ◽  
Resected Tumor ◽  
Tumor Dna

Abstract Cerebrospinal fluid (CSF) has been demonstrated as a better source of circulating tumor DNA (ctDNA) than plasma for brain tumors. However, it is unclear whether whole exome sequencing (WES) is qualified for detection of ctDNA in CSF. The aim of this study was to determine if assessment of ctDNA in CSF by WES is a feasible approach to detect genomic alterations of glioblastoma. CSFs of ten glioblastoma patients were collected pre-operatively at the Department of Neurosurgery, Sun Yat-sen University Cancer Center. ctDNA in CSF and genome DNA in the resected tumor were extracted and subjected to WES. The identified glioblastoma-associated mutations from ctDNA in CSF and genome DNA in the resected tumor were compared. Due to the ctDNA in CSF was unqualified for exome sequencing for one patient, nine patients were included into the final analysis. More glioblastoma-associated mutations tended to be detected in CSF comparing with the corresponding tumor tissue samples (3.56±0.75 vs. 2.22±0.32, P=0.097), while the statistical significance was limited by the small sample size. The average mutation frequencies were similar in CSF and tumor tissue samples (74.12% ± 6.03% vs. 73.83% ± 5.95%, P = 0.924). The R132H mutation of isocitrate dehydrogenase 1 and the G34V mutation of H3F3A which had been reported in the pathological diagnoses were also detected from ctDNA in CSF by WES. Patients who received temozolomide chemotherapy previously or those whose tumor involved subventricular zone tended to harbor more mutations in their CSF. Assessment of ctDNA in CSF by WES is a feasible approach to detect genomic alterations of glioblastoma, which may provide useful information for the decision of treatment strategy.

Circulating tumor DNA (ctDNA) in patients with advanced adrenocortical carcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 4585-4585
Author(s):  
Bassel Nazha ◽  
Hiba I. Dada ◽  
Leylah Drusbosky ◽  
Jacqueline T Brown ◽  
Deepak Ravindranathan ◽  
...  
Keyword(s):  
Adrenocortical Carcinoma ◽  
Treatment Options ◽  
Genomic Data ◽  
Circulating Tumor Dna ◽  
Copy Number Variations ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Entire Cohort ◽  
Genomic Landscape ◽  
Ctdna Analysis

4585 Background: Adrenocortical Carcinoma (ACC) is a rare and aggressive malignancy with poor prognosis and limited treatments in the advanced setting. Molecular pathways with tumor suppressor genes (e.g. TP53, CDKN2A) and oncogenes (e.g. CTNNB1 and RAS) are implicated in oncogenesis. To our knowledge, the genomic landscape of ctDNA alterations for ACC has not been described in a large cohort. We report plasma-based ctDNA alterations in patients with advanced ACC. Methods: We retrospectively evaluated genomic data from 102 patients with ACC who had ctDNA testing between 12/2016 – 10/2020 using Guardant360 (Guardant Health, CA). ctDNA analysis interrogated single nucleotide variants (SNV), fusions, indels and copy number variations (CNV) of up to 83 genes. We evaluated the frequency of genomic alterations, the landscape of co-occurring mutations, and pathogenic or likely pathogenic alterations with potential targeted therapies. The prevalence of alterations identified in ctDNA were compared to those detected in tissue using a publicly available database (cBioPortal). Results: The median age was 54 years (range 24-81), and 55% of patients were male. Among the entire cohort, 84 pts (82.4%) had ≥1 somatic alteration detected. Mutations were most frequently detected in TP53 (52%), EGFR (23%), CTNNB1 (18%), MET (18%), and ATM (14%). The frequencies detected in ctDNA were similar to the results detected in tissue. Pathogenic and/or likely pathogenic mutations in therapeutically relevant alterations were observed in 36 patients (35%), including EGFR, BRAF, MET, CDKN2A, and CDK4/6 (Table 1). The most frequently co-occurring mutations were EGFR + TP53 (14%), EGFR + MET (11%), BRAF + MET (10%). Conclusions: Blood-based ctDNA profiling in advanced ACC provided comprehensive genomic data in most patients, with a similar profile to tumor tissue analyses. Over one third of patients had actionable mutations with approved therapies in other cancers. This approach might inform the development of personalized treatment options for this aggressive malignancy.[Table: see text]

scholarly journals Genotyping of circulating tumor DNA in cholangiocarcinoma reveals diagnostic and prognostic information

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
T. J. Ettrich ◽  
D. Schwerdel ◽  
A. Dolnik ◽  
F. Beuter ◽  
T. J. Blätte ◽  
...  
Keyword(s):  
Deep Sequencing ◽  
Tumor Tissue ◽  
Circulating Tumor Dna ◽  
Therapeutic Strategies ◽  
Variant Allele Frequency ◽  
Prognostic Information ◽  
Driver Genes ◽  
Tumor Load ◽  
Molecular Landscape ◽  
Tumor Dna

Abstract Diagnosis of Cholangiocarcinoma (CCA) is difficult, thus a noninvasive approach towards (i) assessing and (ii) monitoring the tumor-specific mutational profile is desirable to improve diagnosis and tailor treatment. Tumor tissue and corresponding ctDNA samples were collected from patients with CCA prior to and during chemotherapy and were subjected to deep sequencing of 15 genes frequently mutated in CCA. A set of ctDNA samples was also submitted for 710 gene oncopanel sequencing to identify progression signatures. The blood/tissue concordance was 74% overall and 92% for intrahepatic tumors only. Variant allele frequency (VAF) in ctDNA correlated with tumor load and in the group of intrahepatic CCA with PFS. 63% of therapy naive patients had their mutational profile changed during chemotherapy. A set of 76 potential progression driver genes was identified among 710 candidates. The molecular landscape of CCA is accessible via ctDNA. This could be helpful to facilitate diagnosis and personalize and adapt therapeutic strategies.

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