GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Cancers, MDPI AG, Vol. 14, No. 10 ( 2022-05-18), p. 2479-
    Abstract: Monitoring treatment efficacy early during therapy could enable a change in treatment to improve patient outcomes. We report an early assessment of response to treatment in advanced NSCLC using a plasma-only strategy to measure changes in ctDNA levels after one cycle of chemotherapy. Plasma samples were collected from 92 patients with Stage IIIB-IV NSCLC treated with first-line chemo- or chemoradiation therapies in an observational, prospective study. Retrospective ctDNA analysis was performed using next-generation sequencing with a targeted 198-kb panel designed for lung cancer surveillance and monitoring. We assessed whether changes in ctDNA levels after one or two cycles of treatment were associated with clinical outcomes. Subjects with ≤50% decrease in ctDNA level after one cycle of chemotherapy had a lower 6-month progression-free survival rate (33% vs. 58%, HR 2.3, 95% CI 1.2 to 4.2, log-rank p = 0.009) and a lower 12-month overall survival rate (25% vs. 70%, HR 4.3, 95% CI 2.2 to 9.7, log-rank p 〈 0.001). Subjects with ≤50% decrease in ctDNA level after two cycles of chemotherapy also had shorter survival. Using non-invasive liquid biopsies to measure early changes in ctDNA levels in response to chemotherapy may help identify non-responders before standard-of-care imaging in advanced NSCLC.
    Type of Medium: Online Resource
    ISSN: 2072-6694
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2527080-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Impact Journals, LLC ; 2022
    In:  Oncoscience Vol. 9 ( 2022-06-24), p. 33-34
    In: Oncoscience, Impact Journals, LLC, Vol. 9 ( 2022-06-24), p. 33-34
    Type of Medium: Online Resource
    ISSN: 2331-4737
    URL: Issue
    Language: English
    Publisher: Impact Journals, LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2907747-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. e18086-e18086
    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
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    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
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    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
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...