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  • American Society of Clinical Oncology (ASCO)  (6)
  • 1
    Online Resource
    Online Resource
    A phase I study of the safety and immunogenicity of a multipeptide personalized genomic vaccine in the adjuvant treatment of solid cancers.
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 15_suppl ( 2017-05-20), p. TPS3114-TPS3114
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. TPS3114-TPS3114
    Abstract: TPS3114 Background: Mutation-derived tumor antigens (MTAs) arise as a direct result of somatic variations, including nucleotide substitutions, insertions, and deletions that occur during carcinogenesis. These somatic variations can be characterized via genetic sequencing and used to identify MTAs. We propose a platform for a fully-personalized MTA-based vaccine in the adjuvant treatment of solid tumors. Methods: This clinical trial is a single-arm, open label, proof-of-concept phase I study designed to test the safety and immunogenicity of the Personalized Genomic Vaccine 001 (PGV001). The single-center study will enroll 20 eligible subjects with histological diagnosis of the following tumor types: (a) head and neck squamous cell cancer, (b) non-small cell lung cancer, (c) ductal or lobular breast cancer, (d) serous carcinoma of the ovary, uterine adnexa, (e) urothelial carcinoma of renal pelvis or bladder, (f) cutaneous squamous cell cancer. Subjects must have no measurable disease at time of first vaccine administration, and 5-year disease recurrence risk of 〉 30%. Patients will receive 10 doses of PGV001 as well as 10 doses of poly-ICLC (toll-like receptor-3 agonist, vaccine adjuvant), administered 1 day after PGV001 vaccination. Toxicity (endpoint 1) will be defined by Common Terminology Criteria for Adverse Events v5.0. Blood samples will be collected at various time points for immune response monitoring of MTA-specific humoral and cellular immune responses. For each patient, immunogenicity (endpoint 2) will be defined as an epitope-specific T cell response, detectable in peripheral blood samples after PGV001 vaccination. The change in the frequency of vaccine-induced epitope-specific T lymphocyte populations post-vaccination relative to baseline will be determined using mixed effects linear regression modeling. Conclusions: Our clinical trial will test for the first time the safety and immunogenicity of PGV001 in patients with multiple solid cancers. The information learned from this clinical trial will instruct the next generation of MTA-based vaccines, future development of immunotherapeutic approaches and rational combinations. Clinical trial information: NCT02721043.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2017.35.15_suppl.TPS3114
    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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    Online Resource
  • 2
    Online Resource
    Online Resource
    Inching towards precision medicine for multiple myeloma with causal network models.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. e19526-e19526
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. e19526-e19526
    Abstract: e19526 Background: Multiple myeloma (MM) is the 2 nd most prevalent blood cancer. For each molecular subtype of MM defined by molecular profiles, mechanisms underlying prognosis and drug response are largely unknown. Elucidating the mechanisms underlying differences in prognosis and drug response will enable a more personalized, precision medicine (PM) approach to treating patients. Methods: Big multiomics data are now widely available and contain the ingredients necessary to build causal models to uncover mechanisms of prognosis and drug response. However, data from resources like the MM Research Consortium (MMRC) dataset may contain errors (eg, sample mislabeling) that diminish modeling accuracy. We developed a probabilistic data matching method ( proMODMatcher) to correct such errors and applied it to the MMRC data. We identified labeling errors in 10 patients, including swaps in RNA and CNV profiles. Given the corrected MMRC data, we characterized recurrent genomic aberrations in MM. We found 〉 8000 genes significantly associated (FDR 〈 0.01) with CNVs spanning the gene locations. To distinguish expression correlations driven by causal biological relationships from those driven by coincident CNV influence, we constructed a causal MM network based on the MMRC dataset. Results: Overlaps among multiomic prognostic or drug response biomarkers are sparse. To identify common mechanisms of different biomarkers, we projected them onto our MM network to define the causal context in which they occur. Prognostic biomarkers were enriched in subnetworks associated with mitotic regulation and lipid metabolism, and predicted by our network to be regulated by ZWINT, BUB1B, DTL, TPX2 and NOP16. Proteasome inhibitor and immunomodulating drug responses were mediated by amino acid biosynthesis and cell surface protein complex subnetworks, respectively, with MTHFD2 and TMC8 inferred as the master regulators of these subnetworks, respectively. Regulators include genes (eg, BUB1B and MTHFD2) known to associate with tumor growth and drug response and novel therapeutic control points. Conclusions: Causal models can elucidate the molecular mechanisms underlying prognosis and drug response, enabling the design of more personalized MM treatments.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.e19526
    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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    Online Resource
  • 3
    Online Resource
    Online Resource
    Investigating racial differences in treatment responses through analysis of real-world data (RWD).
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. e18141-e18141
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. e18141-e18141
    Abstract: e18141 Background: Clinical trials remain the most reliable means to evaluate drug efficacy and safety for evidence-based cancer care. However, there is a significant racial disparity among participants in clinical trials. For example, only 1-3% of the participants in registration trials of immune checkpoint inhibitors (CPIs) in advanced non-small cell lung cancers (aNSCLCs) were Black. RWD data enable assessment of whether clinical trial results can be generalized to broader populations. Methods: We analyzed clinical records of 〉 145,000 cancer patients treated at Mount Sinai hospitals. Therapeutic agents approved by FDA in recent years were assessed for responses across various race groups. Time to treatment discontinuation (TTD) was used as a surrogate clinical endpoint for outcomes. Results: Overall we did not observe significant differences in TTD among different race groups for the following drugs and indications we examined: palbociclib in metastatic breast cancer (mBC), EGFR tyrosine kinase inhibitors in aNSCLC, EGFR antibody cetuximab and panitumumab in metastatic colorectal cancer with wild type KRAS, abiraterone in metastatic castration-resistant prostate cancer (mCRPC), enzalutamide in mCRPC, sorafenib in unresectable hepatocellular carcinoma (HCC), CPIs in metastatic melanoma. For example, the median TTD of palbociclib in combination with fulvestrant or letrozole in post-menopausal women with HR+HER2- mBC was 181, 261, and 160 days in White (n = 114), Black (n = 55), other (n = 48) race groups, respectively (P = 0.61, log-rank test). Among patients with unresectable HCC treated with sorafenib, the median TTD was 64, 49, and 67 days in the White (n = 201), Black (n = 127) and other (n = 243) race groups, respectively (P = 0.70). However, when CPIs in aNSCLC were examined, we observed a significantly longer TTD in the Black group (median TTD not reached; n = 77) compare to the non-Black group (169 days, 95% CI 133-331; n = 211), P = 0.0049, median follow up 194 days. Conclusions: RWD showed there are no apparent differences of treatment response in various race groups for most new therapeutic agents. Preliminary results of CPIs in aNSCLC suggested a favorable response in the Black than the non-Black population.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.e18141
    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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    Online Resource
  • 4
    Online Resource
    Online Resource
    A phase I study of the safety and immunogenicity of a multi-peptide personalized genomic vaccine in the adjuvant treatment of solid tumors and hematological malignancies.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. e14307-e14307
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. e14307-e14307
    Abstract: e14307 Background: Mutation-derived tumor antigens (MTAs) arise as a direct result of somatic variations that occur during carcinogenesis and can be characterized via genetic sequencing and used to identify MTAs. We developed a platform for a fully-personalized MTA-based vaccine in the adjuvant treatment of solid and hematological malignancies. Methods: This is a single-arm, open label, proof-of-concept phase I study designed to test the safety and immunogenicity of Personalized Genomic Vaccine 001 (PGV001) that targets up to 10 predicted personal tumor neoantigens based on patient’s HLA profile (ClinicalTrials.gov: NCT02721043). Results: Patients who completed vaccination with PGV001_002 (head and neck squamous cell cancer) received 10 doses of vaccine comprising 10 long peptides (LP) combined with poly-ICLC (toll-like receptor-3 agonist) intradermally. Vaccine-induced T-cell responses were determined at weeks 0 and 27 (before and after treatment, respectively), ex vivo by interferon (IFN)-g enzyme-linked immunospot assay and after expansion by intracellular cytokine staining. Overlapping 15-mer peptides (OLPs) spanning the entirety of each LP and 9-10-mer peptides corresponding to each predicted class I epitope (Min) were pooled. Ex vivo responses to these peptide pools were undetectable at week 0 but were evident at week 27 against 2 OLPs out of 10 (20%) and in 5 Min out of 10 (50%). After in vitro expansion, neoantigen-specific CD4 + and CD8 + T-cell responses were found in 5 out of 10 pooled peptides (50%). 7 out of 10 (70%) epitopes elicited polyfunctional T-cell responses (secretion of INF-g, TNF-a, and/or IL-2) from either CD4 + or CD8 + T cells. Conclusions: The PGV001 vaccine in our first patient showed both safety and immunogenicity, eliciting CD4 + and CD8 + responses to the vaccine peptides. As we enroll additional patients in this clinical trial, and perform deeper phenotyping of their tumor-reactive T cells, we will learn the determinants necessary for the successful generation of MTA-based vaccines, while informing future immunotherapeutic approaches and rational combinations. Clinical trial information: NCT02721043.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.e14307
    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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    Online Resource
  • 5
    Online Resource
    Online Resource
    Analysis of real-world data (RWD) on treatment (tx) sequencing in patients with advanced non-small cell lung cancer (aNSCLC).
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. e20642-e20642
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. e20642-e20642
    Abstract: e20642 Background: While optimal sequencing of systemic therapy in aNSCLC is critical to achieve maximal clinical benefit, it is practically challenging to study tx sequencing through clinical trials. RWD allow retrospective, observational studies to examine tx patterns and associated clinical outcomes. Methods: 1,609 aNSCLC patients who received systemic therapies at Mount Sinai hospitals were analyzed for the number of line of therapy (LOT), therapeutic modalities (chemotherapy, targeted therapy and immunotherapy), and the sequence in which treatments were given when LOT 〉 1. Time to tx discontinuation (TTD) was used as a surrogate clinical endpoint for outcomes. Results: 578 of the 1,609 (36%) patients received more than one LOT. 356 (22%) received tyrosine kinase inhibitors (TKIs), and 297 (16%) received immune checkpoint inhibitors (CPIs). Kaplan-Meier analysis revealed that among 297 patients who received CPIs, median TTD was longer in the 1 st line setting (295 days, 95% CI 169 to 523; n=132) than when LOT 〉 1 (169 days, 95% CI 113 to 269; n=165), although the difference was not statistically significant (P=0.092, log-rank test). No difference of TTD on TKIs was observed between LOT = 1 and LOT 〉 1 (P=0.51). With respect to tx sequencing, when patients (n=94) received TKIs as the 1 st LOT, 60%, 35%, and 5% of them received another TKI, chemotherapy, or a CPI-containing regimen, respectively, as the 2 nd LOT. Among patients (n=370) who progressed on 1 st line platinum-based chemotherapy, 52%, 32%, and 16% received another chemo regimen, a CPI-containing regimen, or a targeted therapy, respectively, as the 2 nd LOT; these percentages shifted significantly toward more CPIs (24%, 66%, 10% for chemo, CPI, targeted, respectively) when only 2016-2018 data were examined. In the 2 nd line setting after platinum therapy, TTD was significantly longer in the CPI group (332 days, 95% CI 169-484) compared to the chemo group (88 days, 95% CI 65-100; P 〈 0.0001), consistent with results from pivotal clinical trials. Conclusions: As the tx algorithm of aNSCLC has been evolving rapidly, we observed diverse tx patterns in RWD. Various tx sequences may impact patient outcomes, and therefore warrant further investigation.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.e20642
    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
    BibTip Others were also interested in ...
    Online Resource
  • 6
    Online Resource
    Online Resource
    Transgenic drosophila as a drug-screening platform in colorectal cancer and medullary thyroid cancer.
    American Society of Clinical Oncology (ASCO) ; 2016
    In:  Journal of Clinical Oncology Vol. 34, No. 15_suppl ( 2016-05-20), p. e23164-e23164
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 34, No. 15_suppl ( 2016-05-20), p. e23164-e23164
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2016.34.15_suppl.e23164
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2016
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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    Online Resource
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