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  • Online Resource  (4)
  • American Society of Clinical Oncology (ASCO)  (4)
  • 1
    Online Resource
    Online Resource
    Outcome prediction in resectable esophageal adenocarcinoma based on clinical variables, radiomics, and ctDNA.
    American Society of Clinical Oncology (ASCO) ; 2023
    In:  Journal of Clinical Oncology Vol. 41, No. 4_suppl ( 2023-02-01), p. 423-423
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 4_suppl ( 2023-02-01), p. 423-423
    Abstract: 423 Background: Despite the advent of precision medicine, prediction of survival outcome of esophageal cancer patients remains a challenge. Here we aim to investigate the value of prediction models integrating multi-signal data including radiomics and circulating tumor DNA (ctDNA) data in addition to clinical data for the prediction of resectable esophageal adenocarcinoma (rEAC) related outcomes. Methods: In total n=111 rEAC patients treated with neoadjuvant chemoradiotherapy (nCRT; n=71) +/- anti-PD-L1 (n=40) were included. Baseline clinical variables (n=9) were based on the SOURCE survival prediction model (van den Boorn et al. JNCCN. 2021). The baseline ctDNA data from plasma was derived from fragmentomic and copy number aberrations (ichorCNA) from shallow whole genome sequencing ( 〈 5-fold coverage) and a custom next-generation sequencing panel (n=23 genes). Baseline radiomic original features were extracted by the pyradiomics package from CT-image delineated tumor volumes. An initial redundancy filtering was performed to remove correlating variables (r 〉 0.6). We evaluated the predictive performance of baseline ctDNA and radiomics features on overall survival (OS), progression free survival (PFS), and time to progression (TTP), through fitting Cox-regression models. Four ctDNA features were included in the models: P20-150, ichorCNA, fragment end score and mutation detection. For the radiomics features we performed an additional back- and forward variable selection based on Akaike’s Information Criterion. Using the likelihood ratio test we tested if the model fit changed after adding ctDNA and radiomics features to a model with clinical variables. Results: The addition of radiomics to clinical variables improved model fit for OS (p=0.017). Baseline prediction of OS resulted in a C-index of 0.65 using clinical variables only, 0.65 with ctDNA, 0.68 with radiomics and 0.68 with ctDNA and radiomics combined. For PFS model fit improved after adding radiomics (p=0.020) and ctDNA and radiomics combined (p=0.017). Baseline prediction of PFS resulted in a C-index of 0.64 using clinical variables, 0.65 with ctDNA, 0.67 with radiomics, and 0.68 with ctDNA and radiomics combined. For TTP model fit improved after adding radiomics (p=0.008) and radiomics and ctDNA combined (p=0.002). Baseline prediction of TTP resulted in a C-index of 0.64 with clinical variables, 0.65 with ctDNA, 0.71 with radiomics, and 0.72 with ctDNA and radiomics combined. Based on the cox-regression models using clinical variables and radiomics, risk stratification by splitting the cohort in a high and low risk group was possible for OS, PFS and TTP (p 〈 0.001). Conclusions: Combining clinical variables from SOURCE with radiomics data improved predictions of OS, PFS, and TTP among patients with rEAC. Multi-signal integration of clinical and radiomics variables could potentially be used to identify risk groups.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2023.41.4_suppl.423
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 2005181-5
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Intestinal and tumor microbiome analysis combined with metabolomics of the anti-PD-L1 phase II PERFECT trial for resectable esophageal adenocarcinoma.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 15_suppl ( 2020-05-20), p. 4556-4556
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. 4556-4556
    Abstract: 4556 Background: Both human and rodent studies provide evidence for a role of the microbiome in patients who respond to checkpoint inhibition (CI). So far, no study has unraveled the physiological link between intestinal and tumor microbiome composition in relation to response to CI. The PERFECT trial was a single-arm phase II feasibility study investigating the addition of atezolizumab (PD-L1 inhibitor) to neoadjuvant chemoradiotherapy (nCRT) for resectable esophageal adenocarcinoma (NCT03087864). An exploratory objective of this trial was to evaluate intestinal and tumor microbiome composition including plasma metabolomics as potential biomarkers for immunological and pathological response. Methods: Using 16S rRNA gene sequencing, we analyzed fecal, duodenal and tumor samples at baseline (V0), 3 weeks after start of atezolizumab (V1), and 1 week before surgery (V2). We compared microbiome composition and metabolomics from patients with pathological complete response (pCR; ypT0N0) to patients with a pathological incomplete response. Differences in alpha diversity metrics were tested using mixed linear models. Beta-diversity associations were assessed using permutational MANOVA (adonis) and multilevel PCA (mixOmics). Biomarkers were identified using a machine learning model (XGboost) feature selection. Plasma metabolomics (Metabolon) were determined with liquid chromatography mass spectrometry (LC-MS). Results: Microbiome profiles were significantly altered after start of treatment in all sample types. None of the sample types showed a relation between alpha or beta diversity and pCR. On taxonomical level, we found that the tumor and duodenal baseline samples were weak predictors for response (AUC 0.60 and 0.62, respectively), but better compared to fecal microbiome composition (AUC = 0.49). We identified the top 20 microbes that predicted pCR best in tumor and fecal samples and found significant correlations with metabolites involved in bile acid metabolism. Conclusions: Both tumor and duodenal baseline biopsies were better predictors of pathological response compared to fecal microbiome. Microbes predictive of pCR showed significant correlations with metabolites involved in bile acid metabolism, which is known to indirectly influence immunosurveillance in cancer. Data on immune response in relation to the microbiome and metabolomics are expected Spring 2020. Clinical trial information: NCT03087864 .
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.15_suppl.4556
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    A phase II feasibility trial of neoadjuvant chemoradiotherapy combined with atezolizumab for resectable esophageal adenocarcinoma: The PERFECT trial.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. 4045-4045
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. 4045-4045
    Abstract: 4045 Background: The CROSS study demonstrated the superiority of neoadjuvant chemoradiotherapy (nCRT) over surgery alone (van Hagen et al. NEJM. 2012). However, for resectable esophageal adenocarcinoma (rEAC) 5y survival is only 43%. PD1/PDL1 checkpoint inhibitors have shown promising efficacy for several cancer types, including esophageal cancer. To further improve outcomes in rEAC, we performed a phase II trial of nCRT combined with atezolizumab, a PD-L1 inhibitor. Methods: Pts with rEAC received standard dose CROSS regimen (5 cycles of IV: carboplatin AUC2, paclitaxel 50 mg/m 2 and concurrent 23 fractions of 1.8 Gy on weekdays) with atezolizumab (5 cycles: 1200 mg IV, 3 weekly). Primary endpoint was the percentage of pts completing treatment with atezolizumab. Secondary endpoints included: toxicity, post-operative complications (Clavien-Dindo), Mandard score, R0 resection rate, PFS and OS. In total 40 pts will be enrolled. Results: Since July 2017, 39 pts have been enrolled (87% males, median age 63). Neoadjuvant treatment was completed by 31 pts and is ongoing in 8 pts. All cycles/fractions of nCRT were administered in 29/31 pts; 26 pts completed all cycles of atezolizumab, 24 pts finished complete neoadjuvant treatment. Reasons for missing any cycle of chemotherapy/atezolizumab included: toxicity (6 pts, in 3/6 pts immune-related adverse events (irAE)) and progression (1 pt). Grade 3-4 toxicity was observed in 15/31 pts (6/31 irAEs of any grade) which did not delay surgery. Thus far 23/31 pts were resected, 3 pts are planned for surgery, 3 pts had interval metastases preoperatively, 1 pt died during treatment (pulmonary embolism), and 1 pt declined surgery. Clavien-Dindo grade 3-4 complications were seen in 11/23 pts with no surgery related mortality. A pathological complete response (pCR), Mandard 1 was seen in 9/23 (39%) pts. All patients underwent an R0 resection. Updated results will be presented at the meeting. Conclusions: Based on data thus far, atezolizumab added to nCRT is feasible. A pCR was observed in 39% of patients, which is promising compared to 23% in the CROSS study. Treatment is associated with irAE which are manageable. Biomarker research will be performed on blood (circulating tumor DNA), tissue (immune microenvironment) and feces (microbiome). Clinical trial information: NCT03087864.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.4045
    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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  • 4
    Online Resource
    Online Resource
    Circulating tumor DNA (ctDNA) analysis by low-coverage whole genome sequencing (lcWGS) of resectable esophageal adenocarcinoma (rEAC) patients.
    American Society of Clinical Oncology (ASCO) ; 2021
    In:  Journal of Clinical Oncology Vol. 39, No. 15_suppl ( 2021-05-20), p. 4033-4033
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 15_suppl ( 2021-05-20), p. 4033-4033
    Abstract: 4033 Background: ctDNA is becoming an established marker to assess tumor burden, relapse after surgery, and to identify responders in immunotherapy studies. In the phase II PERFECT trial rEAC patients were treated with neoadjuvant chemoradiotherapy (nCRT) and a PD-L1 inhibitor (van den Ende et al. CCR. 2021). Here we evaluated the potential of cell-free DNA (cfDNA) to predict pathological complete response (pCR) and recurrence. Methods: The cohort consisted of 40 patients and 145 plasma samples. EDTA blood samples were drawn at baseline (B, N = 40), in week 5 of nCRT (W5, N = 40), before surgery (OR, N = 33) and 3 months after surgery (FU, N = 32). cfDNA was isolated by affinity columns (CNAkit, QIAgen) quantified by spectrofluorometer (BioAnalyzer, Agilent), sequencing libraries were prepared for lcWGS ( 〈 5-fold coverage, Tag-seq, Takara) and sequenced on a NovaSeq (S4, PE150). Sequencing data were processed with an in-house pipeline. Copy number aberrations (CNA) and the tumor fraction were estimated using the ichorCNA tool. Insert sizes were recovered and we determined a Tumor Enriched Fragment Fraction (TEFF), calculated by doing the ratio of fragments between 90-150 bp and 250-320 bp (enriched in tumor signal) and fragments between 150-250 bp and 320-360 bp (poor in tumor signal). ichorCNA and TEFF were used to quantify the ctDNA fraction in plasma samples. pCR was defined as ypT0N0. Residual tumor, progression or death before surgery were considered non-pCR. Relapse-free survival (RFS) was defined as the time after surgery until recurrence. Results: The pCR rate was 25% (10/40). The median fold change TEFF between B and W5 was -0.15 (range -0.67 to 0.44) in the pCR group and 0.16 (range -1.40 to 0.76) in the non-pCR group (Mann–Whitney U; p = 0.047). Of the 17 patients in whom ctDNA was detected (TEFF≥0.3 and/or ichorCNA≥0.03) in the FU sample, 13 (76%) showed a recurrence. Of the 15 patients with no ctDNA detected 5 (33%) showed a recurrence. Patients with ctDNA detected at FU had worse RFS, HR = 2.72 (95%CI 0.96-7.71; p = 0.050). Recurrences were detected earlier by FU ctDNA than by imaging due to physical complaints with a median of 312 days (163-798 days). Conclusions: lcWGS appears to be a useful tool to predict pCR and recurrence in resectable esophageal cancer. These lcWGS results will be further combined with fragmentomics analysis and targeted mutational data (Ion Torrent next-generation sequencing) in order to assess response to immunotherapy. Clinical trial information: NCT03087864.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2021.39.15_suppl.4033
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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    Online Resource
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