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  • American Society of Clinical Oncology (ASCO)  (12)
  • 1
    Online Resource
    Online Resource
    Evaluation of a regularly updated knowledge base for curation of somatic mutations detected in whole exomes of melanoma and lung, colorectal, and breast cancers.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 15_suppl ( 2020-05-20), p. e14072-e14072
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e14072-e14072
    Abstract: e14072 Background: Evolving medical guidelines and complex multi-variant data from next-generation sequencing (NGS) testing of cancer samples make routine clinical interpretation of somatic variants challenging. We assessed the ability of NAVIFY(R) Mutation Profiler*, a CE-IVD somatic variant interpretation tool, to yield accurate time- and geography-specific clinical content on 2511 samples from The Cancer Genome Atlas (TCGA) across six solid tumor types. Methods: Whole exomes from lung adenocarcinoma (n = 469), lung squamous cell carcinoma (n = 325), colon adenocarcinoma (n = 368), rectum adenocarcinoma (n = 149), breast invasive carcinoma (n = 806), and skin cutaneous melanoma (n = 394) cases were analyzed. We utilized TCGA data from the Multi-Center Mutation Calling in Multiple Cancers (MC3) project to obtain consensus calling results of single nucleotide variants and indels. The open-access Mutation Annotation Format (MAF) file (v0.2.8) that stores variant calls was lifted to human reference genome GRCh38 and converted to individual Variant Call Format (VCF) files per case. VCF files were uploaded to NAVIFY Mutation Profiler to interpret actionable mutations according to a highly curated and up-to-date knowledge base (Roche Content v2.13.0 released December 6, 2019). We further assessed the accuracy of interpreting co-occurrences of actionable mutations. Results: Over 1.24 million somatic mutations across 20,590 genes were assessed with NAVIFY Mutation Profiler, which reported tier classifications of variants based on consensus recommendations from AMP, ASCO, CAP, and ACMG. 86% of cases had variants of strong (Tier I-A or I-B) or potential (Tier II-C or II-D) clinical significance; 56% of these cases had Tier I classifications, supported by robust clinical evidence. Potentially actionable variant-variant interactions were found in 14% of cases. The tool also identified appropriate tier classifications by geographic region in accordance with local medical guidelines. Conclusions: To benchmark against other tools, we utilized available exome data from TCGA MC3 to assess NAVIFY Mutation Profiler. While this study likely underestimates the fraction of cases with actionable mutations, given that copy number alterations or rearrangements are also present in TCGA samples, we found a higher yield of potentially actionable annotation than other published methods. * This product has not been evaluated by the Food and Drug Administration and is not commercially available in the United States.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.15_suppl.e14072
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 2
    Online Resource
    Online Resource
    Disease monitoring and TKI resistance mutations of EGFR mutation-positive NSCLC patients via circulating tumor DNA.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 15_suppl ( 2020-05-20), p. e21627-e21627
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e21627-e21627
    Abstract: e21627 Background: 15–40% of NSCLC adenocarcinoma patients harbor EGFR sensitizing mutations. Tyrosine kinase inhibitors (TKI) provide significant clinical benefit in this population, yet all patients will develop resistance. Liquid biopsy has been demonstrated to reliably identify tumor associated somatic EGFR mutations. Quantitative assessment of mutated EGFR driven tumors could potentially be used to monitor disease progression, to assess therapeutic response, and to identify resistance mechanisms. Methods: 106 longitudinal plasma samples from 16 NSCLC patients who were treated with osimertinib as either first line or second line therapy were collected. A series of plasma samples collected during treatment and at the time of disease progression were analyzed with the AVENIO ctDNA Surveillance kit*. Mutations at each time point were identified and reported by the AVENIO software v2.0*. The mutation profile of each patient at different timepoints along with the treatment journey was examined in combination with clinical outcome data. Results: EGFR sensitizing mutations were detected in all plasma samples by sequencing except in 3 cases. Patients responsive to anti-EGFR therapy showed a rapid decrease of EGFR driver mutations to non-detectable levels. Meanwhile, patients who had stable disease or rapid disease progression had stable or slightly decreasing ctDNA levels after receiving the treatment. One patient had a MET amplification, FBXL7 SNV, and EGFR T790M detected at the time of disease progression which were not detected at baseline. One patient had both EGFR L858R and T790M mutations. This patient progressed very quickly on erlotinib. Detection of the T790M mutation decreased upon osimertinib administration, however, the L858R mutation level stayed the same. TP53 mutations were elevated in 3 patients at the time of progression, and could potentially be related to anti-EGFR resistance. Conclusions: This study clearly demonstrated that liquid biopsy could identify resistance mutations beyond EGFR prior to clinical progression. Plasma samples collected prior to or at disease progression could facilitate identification of novel resistant mutations to TKI therapy. Further studies to demonstrate the clinical utility of serial blood EGFR testing in NSCLC management are necessary. *For Research Use Only. Not for use in diagnostic procedures.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.15_suppl.e21627
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 3
    Online Resource
    Online Resource
    ctDNA Predicts Overall Survival in Patients With NSCLC Treated With PD-L1 Blockade or With Chemotherapy
    American Society of Clinical Oncology (ASCO) ; 2021
    In:  JCO Precision Oncology , No. 5 ( 2021-11), p. 827-838
    Details
    In: JCO Precision Oncology, American Society of Clinical Oncology (ASCO), , No. 5 ( 2021-11), p. 827-838
    Abstract: Identification of predictors for overall survival (OS) allows timely detection of clinical efficacy signals and therefore facilitates treatment decisions. We assessed the association between circulating tumor DNA (ctDNA) metrics and the primary end point of OS in a subset of previously treated patients with locally advanced or metastatic non–small-cell lung cancer, who underwent atezolizumab or docetaxel treatment in the open-label randomized phase III OAK trial. MATERIALS AND METHODS Plasma from 94 patients at baseline and at subsequent cycles of therapy every 3 weeks was analyzed retrospectively for ctDNA. ctDNA was measured by allele frequency and mutant molecules per milliliter (MMPM). Concordance between various per-sample metrics and clinical outcome were assessed using C index. RESULTS Of all the ctDNA metrics tested, the association of median MMPM at 6 weeks with OS in patients treated with atezolizumab or docetaxel had a C index 〉 0.7. The OS hazard ratios relative to high ctDNA above median MMPM within each arm were 0.28 (95% CI, 0.11 to 0.75) for atezolizumab and 0.19 (95% CI, 0.08 to 0.48) for docetaxel. For patients who had ctDNA median MMPM levels of 〈 4.79, the median survival time was more than 17 months in docetaxel-treated patients and the median survival time was not reached in the atezolizumab-treated patients. CONCLUSION ctDNA MMPM levels measured at 6 weeks post-treatment are associated with OS in advanced non–small-cell lung cancer. Our results suggest that ctDNA has the potential for a noninvasive early liquid biopsy predictor for OS that warrants further studies to demonstrate its utility in clinical development.
    Type of Medium: Online Resource
    ISSN: 2473-4284
    URL: Article
    DOI: 10.1200/PO.21.00057
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
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  • 4
    Online Resource
    Online Resource
    Evaluation of clonal hematopoiesis in late stage NSCLC using a next-generation sequencing panel targeting cancer genes.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. 9050-9050
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. 9050-9050
    Abstract: 9050 Background: Somatic mutations derived from the expansion of clonal populations of blood cells (clonal hematopoiesis of indeterminate potential, or CHIP) may be detected in sequencing of cell-free DNA (cfDNA) samples. We evaluated the potential implications of CHIP in targeted sequencing of lung cancer plasma samples using matched peripheral blood mononuclear cells (PBMC) to identify CHIP. Methods: Samples were evaluated from OAK, a phase 3 trial of atezolizumab in locally advanced or metastatic NSCLC following failure with platinum-based therapy. 94 samples from Cycle 1 Day 1 (C1D1) plasma and matched PBMC were analyzed with the AVENIO ctDNA Surveillance Kit (For Research Use Only, not for use in diagnostic procedures), a 198-kb next-generation sequencing panel targeting cancer genes. Plasma samples from subsequent cycles of therapy (C2D1, C3D1, and C4D1) were also sequenced with the same panel. Using median input amounts of 22.8 ng cfDNA and 50 ng PBMC DNA, we obtained median deduplicated depths of 5413 and 5070, respectively. Results: In C1D1 cfDNA, a median of 120 single nucleotide variants were detected per sample, with 5.13% of variants not identified in matched PBMC (i.e., putative tumor-derived somatic variants) versus 94.87% of variants identified in matched PBMC (i.e., germline or CHIP variants). While the majority of PBMC-matched variants were SNPs with allele frequency (AF) around 50% or 100% as expected, there was a median of 1 (range 0-8) PBMC-matched cfDNA variants per sample with AF below 10%. Consistent with CHIP, the number of PBMC-matched cfDNA variants per subject below AF 10% were positively associated with age (p-value = 0.0145), and TP53 was the most frequently mutated gene. We found similar results in plasma samples from subsequent cycles. Conclusions: Plasma and PBMC sequencing analysis identified potential mutations derived from CHIP. However, 39% of cfDNA samples had zero potential CHIP mutations identified in the study, possibly due to the specific regions targeted by the AVENIO assay. While this study suggests that only a small percentage of variants detected by the AVENIO Surveillance panel in lung cancer are derived from CHIP, further studies are warranted to assess the impact and removal of these variants.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.9050
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 5
    Online Resource
    Online Resource
    Clonal Hematopoiesis in Late-Stage Non–Small-Cell Lung Cancer and Its Impact on Targeted Panel Next-Generation Sequencing
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  JCO Precision Oncology , No. 4 ( 2020-11), p. 1271-1279
    Details
    In: JCO Precision Oncology, American Society of Clinical Oncology (ASCO), , No. 4 ( 2020-11), p. 1271-1279
    Abstract: Somatic mutations derived from the expansion of clonal populations of blood cells (clonal hematopoiesis of indeterminate potential, or CHIP) may be detected in sequencing of cell-free DNA (cfDNA) samples. We evaluated the potential implications of CHIP in targeted sequencing of plasma samples using matched peripheral blood mononuclear cells (PBMCs) from patients with lung cancer to identify potential CHIP-associated mutations. MATERIALS AND METHODS A total of 332 plasma and corresponding PBMC samples were collected predose, cycle 1 day 1 (C1D1), from the randomized, phase III study (OAK) comparing atezolizumab versus docetaxel in previously treated patients with non–small-cell lung cancer (NSCLC). The samples were analyzed with the AVENIO ctDNA Surveillance Kit (for research use only; not for use in diagnostic procedures), a 198-kb next-generation sequencing panel targeting cancer-related genes. CHIP variants were assessed by analyzing both plasma and PBMC sequencing data. RESULTS A range of zero to eight CHIP variants (median = one) was detected per cfDNA sample. Most of these variants were not in the Database of Single Nucleotide Polymorphisms (dbSNP). The number of CHIP variants was positively associated with age, and TP53 was the most frequently mutated gene. Furthermore, the allele frequency was less variable over time for CHIP variants than for tumor-derived variants. CONCLUSION CHIP-derived mutations are present in late-stage NSCLC. However, not all plasma samples had CHIP mutations detected with targeted panel sequencing. Paired PBMC sequencing analysis may be needed to remove CHIP variants for comprehensive genomic profiling using plasma samples to identify true somatic mutations.
    Type of Medium: Online Resource
    ISSN: 2473-4284
    URL: Article
    DOI: 10.1200/PO.20.00046
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
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  • 6
    Online Resource
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    Early assessment of therapy response in non-small cell lung cancer (NSCLC) via longitudinal ctDNA analysis.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. e20701-e20701
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. e20701-e20701
    Abstract: e20701 Background: Quantifying circulating tumor DNA (ctDNA) is an emerging method to non-invasively assess treatment effect for solid tumors. Despite disease heterogeneity in NSCLC, we set out to identify a broadly applicable ctDNA-based method for disease monitoring. By employing plasma taken during early treatment cycles, we tested whether early response assessed by ctDNA level could predict treatment effect. Methods: Using a 197-gene NGS assay, the AVENIO ctDNA Surveillance Kit (For Research Use Only, not for use in diagnostic procedures), we measured ctDNA levels in post-treatment plasma samples based on variants identified at baseline. We used samples from an observational German Lung Cancer Multi-Marker Study. In a cohort of 83 stage IV lung adenocarcinoma treated with first-line chemo or chemoradiation therapies, we evaluated the association between survival and ctDNA levels in the first available post-treatment plasma sample (median number of days after start of treatment = 23). We used a ctDNA-based monitoring algorithm, and applied it to an independent set of 22 late stage lung squamous cell carcinoma (SCC) that also underwent chemo or chemoradiation therapies to further evaluate the algorithm in different histology subtypes. Results: We divided the 83 adenocarcinoma cohort into training (n = 53) and test (n = 30) sets. We found that subjects with longer progression free survival (PFS) had mean allele fraction (AF) 〈 1% in the training set. We applied the classifier to our validation set and found that subjects with mean AF 〈 1% had longer PFS (HR 0.35; 95% CI 0.12 - 0.93; log-rank P = 0.028) and overall survival (OS) (HR 0.29; 95% CI 0.09 - 0.89; log-rank P = 0.021). Using cutoffs identified in adenocarcinoma, we applied the same algorithms to the SCC cohort. Subjects with mean AF 〈 1% had longer PFS (HR 0.26; 95% CI 0.10 - 0.71; log-rank P = 0.005) and OS (HR 0.12; 95% CI 0.05 - 0.51; log-rank P = 0.001). Conclusions: Even in heterogeneous diseases such as NSCLC, changes in ctDNA levels in response to treatment may prove to be a valuable way of identifying subjects who may not benefit, which is earlier than current standard of care methods like computed tomography (CT) scan. Future prospective studies to confirm these results are warranted.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.e20701
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 7
    Online Resource
    Online Resource
    Assessment of a highly curated somatic oncology mutation database to facilitate identification of clinically important variants in NGS results.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. e18086-e18086
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. e18086-e18086
    Abstract: e18086 Background: The increasing adoption of Next Generation Sequencing (NGS) in molecular profiling of cancer presents a growing need for streamlined interpretation of NGS results in clinical labs. This can be achieved through bioinformatics tools equipped with a highly-curated database on clinically important variants. Methods: We performed an initial assessment of an NGS result interpretation tool called NAVIFY Mutation Profiler (NMP), which enabled us to process a Variant Call Format (VCF) file and generate a report with consensus recommendations of NCCN, ASCO, CAP and ACMG. This annotation tool identifies pathogenic variants and variants of unknown clinical significance (VUS), and groups variants by AMP Tiers. At the time of this assessment, NMP contained curation for ~4,000 variants. In this study, we used NGS results from 38 anonymized clinical cases with known treatment regimens to retrospectively assess NMP as the variant interpretation tool. Our cohort contained lung cancer subjects treated with EGFR tyrosine kinase inhibitor (TKI) (5 cases), as well as subjects relapsed against EGFR TKI (1 case) or ALK TKI crizotinib (22 cases). We also included 10 control cases where standard of care chemo was used because initial diagnostic methods did not reveal any actionable targets. Results: NMP annotated NGS VCF data and generated a report within 10 minutes per case although some cases contained 〉 100 variants. NMP correctly associated EGFR TKI therapies options with the corresponding 5 cases. As expected, NMP did not recommend targeted therapies for the 10 chemo-treated control cases. For the subject relapsed against EGFR TKI, NMP correctly interpreted the complex EGFR mutation profile containing both activating (L858R) and drug-resistance (T790M) variants. In addition, out of 22 cases relapsed against ALK TKI crizotinib, NMP correctly marked 14 with crizotinib resistance when a known ALK variant conferring crizotinib resistance was detected. There was limited or no published clinical evidence to interpret the remaining 8 cases of ALK TKI resistance. Conclusions: NMP correctly interpreted cases containing EGFR and ALK variants in this study. With a highly-curated knowledge base, this tool simplifies NGS clinical reporting by identifying clinically actionable mutations and associating treatment options qualified by supporting clinical evidence.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.e18086
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 8
    Online Resource
    Online Resource
    Assessing the impact of clonal hematopoiesis in disease monitoring using targeted cell-free DNA (cfDNA) sequencing technology.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. e14530-e14530
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. e14530-e14530
    Abstract: e14530 Background: Somatic variants found in plasma cell-free DNA (cfDNA) may derive from either solid tumors or clonal hematopoiesis (CH). Little is known about how this may impact plasma-based longitudinal disease monitoring using targeted sequencing of circulating tumor DNA (ctDNA). Methods: To assess the potential impact of CH in disease monitoring, we evaluated monitoring algorithms by targeted sequencing with and without matched peripheral blood mononuclear cells (PBMC). Samples were collected from a prospective observational study, where 62 late stage lung adenocarcinoma subjects were treated with first-line chemo or chemoradiation therapy. Pre-treatment plasma cfDNA and matched PBMC were analyzed with the AVENIO ctDNA Surveillance Kit (For Research Use Only, not for use in diagnostic procedures), a sequencing panel of 198 kilobases targeting cancer genes. Median input amounts of 25 ng cfDNA and 50 ng PBMC DNA were sequenced to median deduplicated depths of 4582 and 6134, respectively. Results: A median of 120 single nucleotide variants were detected per cfDNA sample, with 93.1% of these identified in matched PBMC. Most PBMC-matched cfDNA variants were germline SNPs, with allele frequency (AF) ~ 50% or 100%. A median of 1 (range 0-5) PBMC-matched cfDNA variants per sample were detected with an AF 〈 10%, consistent with CH. The number of these variants was positively associated with age (p-value = 0.0039) and the most frequently mutated gene was TP53. The remaining somatic variants (i.e., in cfDNA and not PBMC) had an AF range 0.03-40.9%. These PBMC-informed variants (median of 7 per sample) were used in longitudinal monitoring in the first post-treatment plasma sample to assess early response to therapy. Association between ctDNA level and progression-free survival using the same monitoring algorithm yielded nearly identical results on somatic variants derived from filtering approaches independent of matched PBMC (HR 0.32; 95% CI 0.16 - 0.65; log-rank P = 0.0009) and the PBMC-informed method (HR 0.31; 95% CI 0.14 - 0.66; log-rank P = 0.0013). Conclusions: A targeted panel focused on solid tumors by design has limited impact from CH. For disease monitoring applications in a non-MRD setting, measuring multiple variants instead of a single variant further enables robust classifiers that can moderate the impact of variants, if any, from CH.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.e14530
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 9
    Online Resource
    Online Resource
    Evaluation of clinical outcomes by analysis of mutations in tumor tissue and circulating plasma DNA using next-generation sequencing (NGS) from STEAM, a prospective, randomized, multicenter study in metastatic colorectal cancer (mCRC).
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 15_suppl ( 2017-05-20), p. 11510-11510
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. 11510-11510
    Abstract: 11510 Background: STEAM (NCT01765582) assessed the efficacy and safety of concurrent (c) and sequential (s) FOLFOXIRI-bevacizumab (BEV) vs FOLFOX-BEV for first-line treatment of mCRC. Methods: The AVENIO ctDNA Expanded Kit (Research Use Only) was used to assess somatic mutations in 77 cancer-related genes by NGS in tissue, and both pre- and post-induction plasma samples (n = 182, 150 and 118 respectively) from STEAM. Four mutation classes including single-nucleotide variants (SNVs), indels, copy number amplifications (CNAs) and fusions were identified. SNVs and indels were called in tissue and plasma at allele frequencies of 5% and 0.25% respectively. Results: Overall concordance of mutations in pre-induction plasma with tissue was 83%. Concordance for the seven most mutated genes ranged from 91.5%-100%. In pts with matched samples (n = 118), RAS WT pts showed significantly longer progression-free survival (PFS) in both cFOLFOXIRI-BEV (A) and sFOLFOXIRI-BEV (B) arms versus FOLFOX-BEV (C), using genotyping of either tissue or plasma. This was not seen in RAS MUT pts. In contrast, TP53 WT showed no significant treatment differences while TP53 MUT showed longer PFS for cFOLFOXIRI-BEV versus FOLFOX-BEV. A list of mutation frequencies for all samples, as well as hierarchical clustering analysis of tissue mutations will be presented. Conclusions: The AVENIO ctDNA Expanded Kit identified mutations in 77 cancer-related genes, in both plasma and tissue, with high overall concordance. Compared to FOLFOX-BEV, longer PFS was observed for c- or s- FOLFOXIRI-BEV in RAS WT pts and for cFOLFOXIRI-BEV in TP53 MUT pts, irrespective of sample type. These results are hypothesis generating and require further clinical validation. Clinical trial information: NCT01765582. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2017.35.15_suppl.11510
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 10
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    Correlation of pre- and post-induction plasma mutant allele fraction with progression-free survival (PFS) in STEAM, a prospective, randomized, multicenter study in metastatic colorectal cancer (mCRC).
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 15_suppl ( 2017-05-20), p. e15118-e15118
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. e15118-e15118
    Abstract: e15118 Background: STEAM (NCT01765582) evaluated the efficacy and safety of concurrent (c) and sequential (s) FOLFOXIRI-bevacizumab (BEV) versus FOLFOX-BEV for first-line treatment of mCRC. Methods: The AVENIO ctDNA Expanded Kit (Research Use Only) was used to identify somatic mutations in 77 cancer-related genes by next-generation sequencing (NGS) in both pre- and post-induction plasma samples (n = 118 for both groups) from STEAM. Demographics for patient tested were similar to the overall cohort. The mutant allele fraction (mAF) represents the mutation frequency in ctDNA for single nucleotide variants (SNVs) and indels detected per patient. Results: Overall, patients with a pre-induction mAF below the median had longer PFS compared to patients with mAF above the median (13.4 vs 9.5 mo, HR 0.49, p = 0.002). A similar trend was seen for overall survival (OS). Within the below median mAF group, longer PFS was observed in patients treated with cFOLFOXIRI-BEV versus FOLFOX-BEV (25.2 vs 9.5 mo, HR 0.34, p = 0.020). In contrast, no differences in PFS were observed in the treatment arms in the above median mAF group. Patients with a post-induction mAF below the median had longer PFS compared to patients with mAF above the median (15.3 vs 8.1 mo, HR 0.51, p = 0.0064). Correlations of post-induction genomic changes with outcomes, according to treatment groups, will also be presented. Conclusions: The level of pre- and post-induction mAF appears to correlate with PFS in STEAM overall. Furthermore, a lower median pre-induction mAF suggests PFS benefit for cFOLFOXIRI-BEV versus FOLFOX-BEV. Thus, plasma analysis of mAF via the AVENIO ctDNA Expanded Kit may identify patients who benefit from specific treatment in mCRC. These results are hypothesis generating and require further clinical validation. Clinical trial information: NCT01765582.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2017.35.15_suppl.e15118
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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