Circulating tumor DNA analysis of neuroendocrine tumors.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15698-e15698
Author(s):  
Jason Scott Starr ◽  
Kabir Mody ◽  
Ali Roberts ◽  
Pashtoon Murtaza Kasi
Keyword(s):  
Neuroendocrine Tumors ◽  
Patient Population ◽  
Dna Analysis ◽  
Circulating Tumor Dna ◽  
Genomic Alteration ◽  
Limited Data ◽  
Single Nucleotide Variants ◽  
Genomic Alterations ◽  
Pancreatic Net ◽  
Tumor Dna

e15698 Background: Neuroendocrine tumors (NETs) and carcinomas (NECs) are a diverse group of tumors with an equally diverse biology and clinical behavior. Data on tissue-based genomic profiling of NETs exists, however, there is limited data using circulating tumor DNA (ctDNA) technology. We sought out to characterize NETs via ctDNA to identify genomic alterations. Methods: 27 patients with metastatic NET/NEC with 32 total plasma samples were analyzed using Guardant360 ctDNA assay. Breakdown of NET/NEC by location: 14 pancreatic NET (pNET), 11 NEC, 1 small bowel NET, 1 lung NET. The ctDNA test detects single nucleotide variants in 54-73 genes, copy number amplifications, fusions, and indels in selected genes. Results: Of the 27 patients, 19 (70%) had a detectable genomic alteration. The detectable (non-synonymous) alterations are as follows: TP53 (n = 14, 70%), NF1 (n = 8, 40%), EGFR (n = 5, 25%), BRCA2 (n = 4, 20%), KRAS (n = 4, 20%), ARID1A (n = 3, 15%), CDK6 (n = 3, 15%), ALK (n = 3, 15%), MET (n = 2, 10%), PTEN (n = 2, 10%), BRAF (n = 2, 10%), MTOR (n = 2, 10%) AKT1 (n = 1), BRCA1 (n = 1), CCND2 (n = 1), CCNE1 (n = 1), CTNNB1 (n = 1), ESR1 (n = 1), FGFR2 (n = 1), HRAS (n = 1), IDH1 (n = 1), KIT (n = 1), MYC (n = 1), NOTCH1 (n = 1), NRAS (n = 1), PDGFRA (n = 1), RAF1 (n = 1), RB1 (n = 1), SMAD4 (n = 1), STK11 (n = 1), TSC1 (n = 1), ERBB2 (n = 1), PIK3CA (n = 1). Conclusions: This experience highlights the feasibility of ctDNA to help identify genomic alterations in this patient population. Further studies incorporating ctDNA testing in this patient population are warranted.

Identification of genomic alterations by circulating tumor DNA in leiomyosarcoma: A molecular analysis of 73 patients.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 11044-11044 ◽  
Author(s):  
Junaid Arshad ◽  
Ali Roberts ◽  
Jared Addison Cotta ◽  
Jonathan C. Trent
Keyword(s):  
Circulating Tumor Dna ◽  
Driver Mutations ◽  
Genomic Alteration ◽  
Single Nucleotide Variants ◽  
Genomic Alterations ◽  
Uncertain Significance ◽  
Malignant Mesenchymal Tumor ◽  
Invasive Method ◽  
Diagnosis Therapy ◽  
Tumor Dna

11044 Background: Leiomyosarcoma is a malignant mesenchymal tumor of cells of smooth muscle lineage arising commonly in retroperitoneum, uterus, large veins, and the limbs. In contrast to many sarcomas, the genetics of leiomyosarcomas are complex and there is very limited understanding of common driver mutations. Circulating Tumor DNA (ctDNA) offers a rapid and non-invasive method of next-generation sequencing (NGS) that could be utilized for diagnosis, therapy and detection of recurrence. Methods: ctDNA testing was performed using Guardant360, which detects single nucleotide variants, amplifications, fusions, and specific insertion/deletion mutations in 73 genes utilizing NGS. Blood samples from patients with leiomyosarcoma were analyzed, and results from December 2014-December 2018 were reviewed. Results: Of the 90 samples collected and analyzed, alterations were detected in 73 ctDNA samples. After exclusion of variants of uncertain significance (VUS), 63 ctDNA samples harbored cancer-associated genomic alterations. Of 73 patients, 59 were found to have one or more cancer-associated genomic alteration. 76% (45) were female with a median age of 63 (range, 38-87) years. All samples were designated metastatic. The following table shows common alterations and types of mutations. The other alterations included RAF1, ERBB2, MET, PTEN, TERT, APC and NOTCH1. In 24 of the 73 patients (33%) the genomic alterations detected by ctDNA are potentially targetable by an FDA-approved or clinical trial therapy. There were 4 (5%) patients who were found to have incidental germline TP53 mutations. Conclusions: NGS of ctDNA allows identification of genomic alterations in plasma from patients with leiomyosarcoma. Unfortunately, there is limited activity of targeted agents in leiomyosarcomas. These results suggest opportunities to develop therapy against TP53, cell cycle, and kinase signaling pathways. Further validation and prospective evaluation is warranted to investigate the clinical utility of ctDNA for patients with leiomyosarcoma.[Table: see text]

scholarly journals Concordance of Genomic Alterations between Circulating Tumor DNA and Matched Tumor Tissue in Chinese Patients with Breast Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Bing Xu ◽  
Guangyu Shan ◽  
Qixi Wu ◽  
Weiwei Li ◽  
Hongjiang Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Circulating Tumor Dna ◽  
Concordance Rate ◽  
Chinese Patients ◽  
Genomic Alteration ◽  
Single Nucleotide Variants ◽  
Genomic Alterations ◽  
Tissue Samples ◽  
Wilcoxon Rank Sum Test ◽  
Tumor Dna

Purpose. Circulating tumor DNA (ctDNA) served as a noninvasive method with less side effects using peripheral blood. Given the studies on concordance rate between liquid and solid biopsies in Chinese breast cancer (BC) patients were limited, we sought to examine the concordance rate of different kinds of genomic alterations between paired tissue biopsies and ctDNA samples in Chinese BC cohorts. Materials and Methods. In this study, we analyzed the genomic alteration profiles of 81 solid BC samples and 41 liquid BC samples. The concordance across 136 genes was evaluated. Results. The median mutation counts per sample in 41 ctDNA samples was higher than the median in 81 tissue samples (p=0.0254; Wilcoxon rank sum test). For mutation at the protein-coding level, 39.0% (16/41) samples had at least one concordant mutation in two biopsies. 20.0% tissue-derived mutations could be detected via ctDNA-based sequencing, whereas 11.7% ctDNA-derived mutations could be found in paired tissues. At gene amplification level, the overall concordant rate was 68.3% (28/41). The concordant rate at gene level for each patient ranged from 83.8% (114/136) to 99.3% (135/136). And, the mean level of variant allele frequency (VAF) for concordant mutations in ctDNA was statistically higher than that for the discordant ones (p<0.001; Wilcoxon rank sum test). Across five representative genes, the overall sensitivity and specificity were 49.0% and 85.9%, respectively. Conclusion. Our results indicated that ctDNA could provide complementary information on genetic characterizations in detecting single nucleotide variants (SNVs) and insertions and deletions (InDels).

A landscape of circulating tumor DNA in esophageal adenocarcinoma and squamous cell carcinoma.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 4070-4070
Author(s):  
Kabir Mody ◽  
Rami Manochakian ◽  
Daniel H. Ahn ◽  
Ali Roberts ◽  
Rebecca Nagy ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Esophageal Adenocarcinoma ◽  
Squamous Cell ◽  
Treatment Options ◽  
Circulating Tumor Dna ◽  
Genomic Alteration ◽  
Single Nucleotide Variants ◽  
Synonymous Mutations ◽  
Tumor Dna

4070 Background: Esophageal cancer (EC) is a lethal malignancy with limited treatment options. Genomic analyses have led to the elucidation of numerous dysregulated genes in esophageal adenocarcinoma (AC) and squamous cell carcinoma (SCC), and the potential for advancement of targeted therapies in this disease. Data regarding circulating tumor DNA (ctDNA) plasma analysis in EC in real-world clinical practice is limited. Methods: We performed ctDNA next-generation sequencing (NGS) analysis in patients (pts) with EC (January 2015- February 2018). ctDNA analysis was performed using Guardant 360 (Guardant Health, CA) which detects single nucleotide variants and insertion/deletion mutations, and specific amplifications and fusions, in up to 73 different genes. 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. Results: Among 450 pts, 487 total samples were analyzed (77% AC, 31% SCC). ctDNA NGS revealed at least one genomic alteration (excluding variants of uncertain significance and synonymous mutations) in 81% of pts (90% AC, 88% SCC). Median number of alterations per AC patient was 4 [range, 1-59] and a median MAF of 0.84% (range, 0.02% - 83.7%); SCC was 5 [range, 1-26], with a median MAF of 0.99% (range, 0.01% - 85.2%). The total number of unique alterations was 1,162. The most commonly altered genes in AC: TP53 (70%), KRAS (20%), ERBB2 (18%), EGFR (16%), PIK3CA (16%); in SCC: TP53 (88%), PIK3CA (24%), CCND1 (23%), KRAS (21%), EGFR 15%). Therapeutically relevant alterations will be described. Conclusions: ctDNA plasma profiling of pts with EC is a feasible alternative and non-invasive method to gather comprehensive genomic data. Further large comparison studies to assess landscape of genomic alterations observed through ctDNA versus tissue-based assays, in addition to studies of targeted therapy outcomes based on ctDNA-detected alterations, are needed.

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.

scholarly journals Identification of Genetic Alterations by Circulating Tumor DNA in Leiomyosarcoma: A Molecular Analysis of 73 Patients

2020 ◽  
Vol 3 (2) ◽  
pp. 64-68 ◽  
Author(s):  
Junaid Arshad ◽  
Priscila Barreto-Coelho ◽  
Emily Jonczak ◽  
Andrea Espejo ◽  
Gina D'Amato ◽  
...  
Keyword(s):  
Circulating Tumor Dna ◽  
Genetic Alterations ◽  
Driver Mutations ◽  
Genomic Alteration ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Malignant Mesenchymal Tumor ◽  
Diagnosis Therapy ◽  
Next Generation Sequencing Ngs ◽  
Tumor Dna

ABSTRACT Background Leiomyosarcoma is a malignant mesenchymal tumor of cells of smooth muscle lineage arising commonly in retroperitoneum, uterus, large veins, and the limbs. The genetics of leiomyosarcomas are complex and there is very limited understanding of common driver mutations. Circulating tumor DNA (ctDNA) offers a rapid and noninvasive method of next-generation sequencing (NGS) that could be used for diagnosis, therapy, and detection of recurrence. Methods ctDNA testing was performed using Guardant360, which detects single nucleotide variants, amplifications, fusions, and specific insertion/deletion mutations in 73 genes using NGS. Results Of 73 patients, 59 were found to have one or more cancer-associated genomic alteration. Forty-five (76%) were female with a median age of 63 (range, 38–87) years. All samples were designated metastatic. The most common alterations were detected in Tp53 (65%), BRAF (13%), CCNE (13%), EGFR (12%), PIK3CA (12%), FGFR1 (10%), RB1(10%), KIT (8%), and PDGFRA (8%). Some of the other alterations included RAF1, ERBB2, MET, PTEN TERT, APC, and NOTCH1. Potentially targetable mutations, by Food and Drug Administration–approved or clinical trials, were found in 24 (40%) of the 73 patients. Four patients (5%) were found to have incidental germline TP53 mutations. Conclusion NGS of ctDNA allows identification of genomic alterations in plasma from patients with leiomyosarcoma. Unfortunately, there is limited activity of current targeted agents in leiomyosarcomas. These results suggest opportunities to develop therapy against TP53, cell cycle, and kinase signaling pathways. Further validation and prospective evaluation is warranted to investigate the clinical utility of ctDNA for patients with leiomyosarcoma.

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.

scholarly journals Association of a novel circulating tumor DNA next-generating sequencing platform with circulating tumor cells (CTCs) and CTC clusters in metastatic breast cancer

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Andrew A. Davis ◽  
Qiang Zhang ◽  
Lorenzo Gerratana ◽  
Ami N. Shah ◽  
Youbin Zhan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Metastatic Breast ◽  
Circulating Tumor Dna ◽  
Genomic Alteration ◽  
Genomic Alterations ◽  
Disease Heterogeneity ◽  
Tumor Dna

Abstract Purpose Liquid biopsies, including circulating tumor DNA (ctDNA) and circulating tumor cells (CTCs), can be used to understand disease prognosis, tumor heterogeneity, and dynamic response to treatment in metastatic breast cancer (MBC). We explored a novel, 180-gene ctDNA panel and the association of this platform with CTCs and CTC clusters. Methods A total of 40 samples from 22 patients with MBC were included in the study. For the primary analysis, all patients had ctDNA sequencing using the PredicinePLUS™ platform. CTCs and CTC clusters were examined using the CellSearch™ System. Clinical and pathological variables were reported using descriptive analyses. Associations between CTC count and specific genomic alterations were tested using the Mann-Whitney U test. Results Of 43 sequenced patients, 40 (93%) had at least one detectable genomic alteration with a median of 6 (range 1–22). Fifty-seven different genes were altered, and the landscape of genomic alterations was representative of MBC, including the commonly encountered alterations TP53, PTEN, PIK3CA, ATM, BRCA1, CCND1, ESR1, and MYC. In patients with predominantly hormone-receptor-positive MBC, the number of CTCs was significantly associated with alterations in ESR1 (P < 0.005), GATA3 (P < 0.05), CDH1 (P < 0.0005), and CCND1 (P < 0.05) (Mann-Whitney U test). Thirty-six percent of patients had CTC clusters, which were associated with alterations in CDH1, CCND1, and BRCA1 (all P < 0.05, Mann-Whitney U test). In an independent validation cohort, CTC enumeration confirmed significant associations with ESR1 and GATA3, while CTC clusters were significantly associated with CDH1. Conclusions We report on a novel ctDNA platform that detected genomic alterations in the vast majority of tested patients, further indicating potential clinical utility for capturing disease heterogeneity and for disease monitoring. Detection of CTCs and CTC clusters was associated with particular genomic profiles.

Clinical applications of circulating tumor DNA in monitoring breast cancer drug resistance

2020 ◽  
Vol 16 (34) ◽  
pp. 2863-2878
Author(s):  
Yang Liu ◽  
Qian Du ◽  
Dan Sun ◽  
Ruiying Han ◽  
Mengmeng Teng ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Drug Resistance ◽  
Digital Pcr ◽  
Circulating Tumor Dna ◽  
Resistance Mechanisms ◽  
Clinical Applications ◽  
Current Status ◽  
Cancer Drug ◽  
Genomic Alteration ◽  
Tumor Dna

Breast cancer is one of the leading causes of cancer-related deaths in women worldwide. Unfortunately, treatments often fail because of the development of drug resistance, the underlying mechanisms of which remain unclear. Circulating tumor DNA (ctDNA) is free DNA released into the blood by necrosis, apoptosis or direct secretion by tumor cells. In contrast to repeated, highly invasive tumor biopsies, ctDNA reflects all molecular alterations of tumors dynamically and captures both spatial and temporal tumor heterogeneity. Highly sensitive technologies, including personalized digital PCR and deep sequencing, make it possible to monitor response to therapies, predict drug resistance and tailor treatment regimens by identifying the genomic alteration profile of ctDNA, thereby achieving precision medicine. This review focuses on the current status of ctDNA biology, the technologies used to detect ctDNA and the potential clinical applications of identifying drug resistance mechanisms by detecting tumor-specific genomic alterations in breast cancer.

Sign in / Sign up

Export Citation Format

Share Document