Clinical and analytical validation of FoundationOne Liquid CDx, a novel 324-gene blood-based comprehensive genomic profiling assay.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13685-e13685 ◽  
Author(s):  
Ryan Woodhouse ◽  
Lucas Dennis ◽  
Meijuan Li ◽  
Christine Burns ◽  
Pei Ma ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Copy Number ◽  
Limit Of Detection ◽  
Variant Calling ◽  
Genomic Profiling ◽  
Validity Data ◽  
Multiple Tumor ◽  
Additional Tool ◽  
Therapeutic Decisions ◽  
Comprehensive Genomic Profiling

e13685 Background: As the availability of precision therapies expand, a well-validated blood-based comprehensive genomic profiling (CGP) assay has the potential to provide considerable value as a complement to tissue-based testing to ensure that potentially life-extending therapies are administered to the patients most likely to benefit. Comprehensive clinical and analytical validity data for blood-based assays are crucial to enabling physicians to understand the true performance of available testing options. Methods: The FoundationOne Liquid CDx assay is a blood-based CGP assay that has been validated for a Premarket Approval (PMA) submission to the Food and Drug Administration (FDA). Validation studies included > 9,000 tests and > 30,000 unique variants across > 300 genes and > 50 cancer types, allowing for a comprehensive assessment of performance. Results: The results of these extensive studies demonstrate a 95% limit of detection (LoD) of 0.40% variant allele fraction (VAF) for select short variants (subs and indels), 0.37% VAF for select rearrangements, 21.7% tumor fraction (TF) for select copy number amplifications, and 30.4% TF for copy number losses. LoD for complex biomarkers such as microsatellite instability (MSI) and blood tumor mutational burden (bTMB) were also determined. The limit of blank (LoB) was shown to be the ideal value of zero. Reproducibility of variant calling was determined to be 99.59% with two-sided exact CI of (99.58%, 99.60%). In comparison with an orthogonal method, an overall PPA (95% CI) of 96.3% (94.8, 97.4%) and NPA (95% CI) of > 99.9% (99.9%, 100.0%) was observed. Critically, clinical validity and concordance with tissue-based CGP results across multiple tumor types were also evaluated. Conclusions: The results of these studies demonstrate that FoundationOne Liquid CDx accurately and reproducibly detects the major types of genomic alterations (short variants, rearrangements, and copy number alterations), as well as complex biomarkers, such as MSI, bTMB, and tumor fraction. These data demonstrate that the assay can identify genomic variants that may inform therapeutic decisions for cancer patients with any solid tumor using a single blood sample. Additionally, clinical validation results establish FoundationOne Liquid CDx as an additional tool for physicians in the therapeutic management of cancer patients.

scholarly journals P35.21 Comprehensive Genomic Profiling of Lung Metastases in Cancer Patients

2021 ◽  
Vol 16 (3) ◽  
pp. S429
Author(s):  
L. Wang ◽  
X. Liu ◽  
X. Yu ◽  
Z. Zhao ◽  
Y. Zhang ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Lung Metastases ◽  
Genomic Profiling ◽  
Comprehensive Genomic Profiling

P1.09-04 Comprehensive Genomic Profiling in a Brazilian Cohort of Lung Cancer Patients: Real-World Impact

2019 ◽  
Vol 14 (10) ◽  
pp. S496-S497
Author(s):  
T. Padua ◽  
M. Monteiro ◽  
M. Silvino ◽  
L. Carvalho ◽  
T. Sousa ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Real World ◽  
Genomic Profiling ◽  
Lung Cancer Patients ◽  
Comprehensive Genomic Profiling ◽  
Brazilian Cohort

scholarly journals Comprehensive genomic profiling of Brazilian non‐small cell lung cancer patients ( GBOT 0118/ LACOG0418 )

2020 ◽  
Author(s):  
Eldsamira Mascarenhas ◽  
Ana Caroline Gelatti ◽  
Luiz Henrique Araújo ◽  
Clarissa Baldotto ◽  
Clarissa Mathias ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Genomic Profiling ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Comprehensive Genomic Profiling

Integrating comprehensive genomic profiling into the clinical management of prostate cancer patients: A single institution community practice experience.

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 281-281
Author(s):  
Neal D. Shore ◽  
James Haberberger ◽  
Eric Allan Severson ◽  
Brian Michael Alexander ◽  
Pratheesh Sathyan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Liquid Biopsy ◽  
Clinical Management ◽  
Additional Patient ◽  
Genomic Profiling ◽  
Data Set ◽  
Tissue Samples ◽  
Comprehensive Genomic Profiling ◽  
Germline Testing

281 Background: Prostate cancer is a leading cause of cancer-related mortality with a 5-year survival rate of 69%. In this study, we examine the role of integrating CGP, including tissue and liquid biopsy testing, into the clinical management of prostate cancer patients. Methods: We analyzed 140 cases of advanced prostate carcinoma with tissue and ctDNA based Comprehensive Genomic Profiling (CGP). CGP analysis revealed genomic alterations (GAs), TMB and MSI status. Germline testing, using multiple commercially assays was also obtained. Results: The median age of patients tested by tissue-based and liquid-based CGP was 65 years (46 to 85 yrs) and 69 years (51 to > 89 years), respectively. CGP analysis of tissue samples revealed the most commonly altered genes to be TP53 (34.6%), TMPRSS2- ERG (25.9%), PTEN (23.5%), NBN (14.8%), MYC (13.6%), BRCA2 (14.3%) and CDKN2A (13.3%). TMB analysis determined in 77 tissue samples showed a median (mean) value of 2.61 (5.00) mutations/Mb. 3.9% cases (3/77) were found to be hypermutated. MSI status was determined in 74 cases of which 2.7% (2/74) were found to be MSI-High. Of the tissue-based samples tested, 30.9% (25/81) were derived from metastatic sites. Analysis of commonly altered genes between primary vs metastatic tissue samples revealed TP53 mutations were significantly enriched in metastatic tumors. CGP analysis of the 59 liquid biopsy samples revealed the most commonly altered genes to be TP53 (37.3%), NF1 (10.2%), ATM (10.2%), CHEK2 (8.5%) and GNAS (8.5%). Germline testing was performed as described above on a clinically indicated subset of patients, which revealed alterations in BRCA, ATM, CHEK2, BRIP1 and TP53, among others. We are evaluating additional patient samples as part of the data set, which will be added to the final abstract presentation with a cutoff date of 12-31-2019. Conclusions: Genomic testing for high risk and advanced prostate cancer patients per the NCCN recommendations, with somatic testing, using tissue and liquid biopsy testing, as well as germline testing in selected cases, identifies DNA alterations which have potential clinical utility for clinical trial enrollment.

Clinical implications of genomic-directed therapies by comprehensive genomic profiling in breast cancer patients at a large academic cancer center.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e12037-e12037
Author(s):  
Ricardo Daniel Parrondo ◽  
Veronica Mariotti ◽  
Miguel Gonzalez Velez ◽  
Lori Ann Leslie
Keyword(s):  
Breast Cancer ◽  
Clinical Trials ◽  
Cancer Patients ◽  
Pik3ca Mutation ◽  
Clinical Impact ◽  
Cancer Center ◽  
Genomic Profiling ◽  
Breast Cancer Patients ◽  
Comprehensive Genomic Profiling ◽  
Genomic Characterization

e12037 Background: Increased use of comprehensive genomic profiling (CGP) has recently led to improved genomic characterization of tumors, increased access to individualized therapies and increased availability of clinical trials in breast cancer patients. The aim of this study was to evaluate the clinical impact of genomic profiling in breast cancer patients with the use of a CGP assay at a large cancer center. Methods: We retrospectively analyzed 101 consecutive breast cancer patients who received CGP at the John Theurer Cancer Center between 12/2011 and 08/2016. Genomic alterations (GAs) were identified using the FoundationOne assay (Foundation Medicine, Cambridge, MA). GAs, number of available genomic-directed therapies and number of available clinical trials were reviewed. The CGP interrogated up to 315 genes and introns of 28 genes. Results: Median age at diagnosis was 58 years (range: 35-83 years). With a median follow-up of 189 months (range 1-189), median survival was 163 months (range 142-184). A total of 560 GAs were found in our population, with a median of 5.0 GAs/sample (range 0-16), a median of 2.0 therapies/patient (range 0-11), and a median of 11.0 clinical trials/patient (range 0-36). The most frequent GAs found were TP53 (47.5%, n = 48), PIK3CA (34.7%, n = 35), MYC (22.8%, n = 23), CCND1 (19.8%, n = 20), FGF3 (16.8%, n = 17), FGF4 (15.8%, n = 16), and ZNF703 (14.9%, n = 15). A significant positive correlation was found between number of GAs and the number of available targeted therapies and clinical trials (r = 0.5 and r = 0.7, p = 0.00, respectively). Increasing age is a predictor of having a PIK3CA mutation (OR = 1.05; CI:1.01-1.09, p = 0.00) while decreasing age is a predictor of having a MYC mutation by logistic regression (OR = 0.95; CI:0.91-0.95, p = 0.03). Conclusions: The systematic use of CGP led to the identification of a high number of GAs, which correlated with a median of 2.0 individualized therapies and a median of 11.0 clinical trials available for breast cancer patients. The clinical impact of genomic-directed individualized therapies needs to be further investigated in prospective, randomized studies.

Next generation sequencing reveals CCNE1 amplification as an independent prognostic factor for triple negative breast cancer (TNBC) patients.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 558-558
Author(s):  
Xin Huang ◽  
Huanwen M. Wu ◽  
Changbin Zhu ◽  
Di Shao ◽  
Dan Guo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Copy Number ◽  
Triple Negative ◽  
Genetic Data ◽  
Genetic Alterations ◽  
Clinicopathological Parameters ◽  
Genomic Profiling ◽  
Cyclin E1 ◽  
Comprehensive Genomic Profiling

558 Background: Triple negative breast cancer (TNBC) has the worst prognosis among breast cancer due to the heterogeneity as well as lack of better therapeutic approach. It remains controversial whether BRCA status is the predictor of survival in TNBC. Besides, both germline and somatic mutation may contribute to the prognosis. This study is to explore the potential predictors and therapeutic targets based on genetic data and clinicopathological parameters. Methods: Seventy-five TNBC patients were enrolled with approximately 2:1 based on BRCA status. Genetic data was analysed by comprehensive genomic profiling 508 key cancer related genes. DAVID was applied to perform pathway enrichment analysis of significant enriched genetic alterations. Cox regression model was applied to evaluate disease-free survival (DFS) and overall survival (OS). Immuno-chemistry (IHC) was used to validate clinically meaningful genetic alteration. Results: In this study, 27 germline mutations were detected, including 26 homologous recombination repair (HRR) pathway gene mutations and 1 mismatch repair gene mutation among them 16 BRCA1 mutations and 5 BRCA2 mutations were found. Germline HRR including BRCA1/2 mutation marginally affected DFS ( p = 0.0624 and 0.15, respectively). We found 480 somatic genetic alterations including 110 copy number variations (CNV). The median value of TMB was determined to be 4.1 Muts/Mb which divided 74 TNBC patients into TMB-low (TMB-l) and TMB-high (TMB-h) group. TMB-l group had inferior DFS to TMB-h ( p = 0.0457). CCNE1 (with 5% frequency) copy number gain was specifically enriched in TMB-l group but mutually exclusive with BRCA1/2 mutation. TNBC with CCNE1 gain displayed worse DFS ( p< 0.0001). Cox multivariate regression analysis indicated CCNE1 gain was an independent risk factors for DFS [HR = 13.48 (95% CI 2.62-69.23), p= 0.002)]. Pathway analysis indicated CCNE1 harmed prognosis through regulation of transcription in G1/S phase. Expression of cyclin E1 was validated by IHC, which would be presented later. Conclusions: Comprehensive genomic profiling disclosed various potential prognostic markers for TNBC by integrating clinical characters. Especially, amplified CCNE1 may be a potential prognostic marker and therapeutic target. [Table: see text]

Deciphering molecular characters of multiple lung lesion using comprehensive genomic profiling and its association of histology.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21051-e21051
Author(s):  
Changbin Zhu ◽  
Yuan Qiu ◽  
Qiuhua Deng ◽  
Haihong Yang ◽  
Hanzhang Chen ◽  
...  
Keyword(s):  
Pulmonary Metastasis ◽  
Age Of Onset ◽  
Primary Lung Cancer ◽  
Variant Calling ◽  
Lung Lesion ◽  
Genomic Profiling ◽  
Loss Of Function ◽  
Lung Lesions ◽  
Comprehensive Genomic Profiling ◽  
Related Group

e21051 Background: Differentiating multiple pulmonary lesions as multiple primary lung cancer (MLC) or intra-pulmonary metastasis (IPM) is critical for clinics. Radiological or histological (dis)concordance may be informative, while, genetic information may aid tracing lineage information on multiple lung lesions. This study aims to apply comprehensive genomic profiling deciphering intrinsic genetics of multiple lung lesions. Methods: 32 patients, 69 FFPE samples were applied to perform high-through put sequencing. 636 cancer-related genes were captured and sequenced by MGI-seq 2000. Raw data was processed via in-house developed pipeline. Unsupervised clustering was applied to cluster samples based on genetic characters after variant calling and annotation. Patients were categorized into “Genomic related” and “Genomic unrelated” groups. Another cohort consisting of 402 patients with mono-lesion was used as control cohort. Results: No difference of age of onset was found between 32 patients and 403 patients with mono lesion (60.5 versus 60 years). Male had relatively lower incidence of multiple lung lesions (RR:0.46,95%CI: 0.20-0.93, P = 0.04). Eight patients were classified as “Genomic related” by presenting same mutation in driver or tumor suppressor genes. Six of eight patients were characterized to carry EGFR L858R, in addition, two patients presented co-mutation of RB1(c.1814+1G > T, p.E48Kfs*18) and TP53 mutations (p.H193R, p.R249S). Another two patients carried EGFR 19 Deletion. Two lesions from one patient with predefined diagnosis of intra-pulmonary metastasis showed biallelic loss of function mutations in same loci of NF1 gene (p.S2311*/ p.Q1360*) together with same KRAS mutation (p.G13C). Radiologically, no same lobe as well as left-right preference were revealed between “Genomic related” and “Genomic unrelated” groups. Histologically, there was no enrichment of patients with same histology subtype in “genomic related” group, verse visa. While, patients in “genomic related” group had higher ages at initial diagnosis (median age 69.5 vs 56.5 years, P = 0.04). Conclusions: Comprehensive genomic profiling should be applied to clinics distinguishing the nature of multiple lung lesion irrespective of radiological and histological diagnosis. [Table: see text]

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