Personalized NeoAntigen Cancer Vaccine with RT for Newly Diagnosed Glioblastoma
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PROVIDER: PRJNA429519 | ENA |
REPOSITORIES: ENA
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Project description:Personalized NeoAntigen Cancer Vaccine with RT for Newly Diagnosed Glioblastoma
| PRJNA429518 | ENA
Project description:Neoantigen-reactive cytotoxic T lymphocytes play a vital role in precise cancer cell elimination. In this study, we demonstrate the effectiveness of personalized neoantigen-based T cell therapy in inducing tumor regression in two patients suffering from heavily-burdened metastatic ovarian cancer. Our approach involved the development of a robust pipeline for ex vivo expansion of neoantigen-reactive T lymphocytes. Neoantigen peptides were designed and synthesized based on the somatic mutations of the tumors and their predicted HLA binding affinities. These peptides were then presented to T lymphocytes through co-culture with neoantigen-loaded dendritic cells for ex vivo expansion. Subsequent to cell therapy, both patients exhibited significant reductions in tumor marker levels and experienced substantial tumor regression. One patient achieved repeated cancer regression through infusions of T cell products generated from newly identified neoantigens. Transcriptomic analyses revealed a remarkable increase in neoantigen-reactive cytotoxic lymphocytes in the peripheral blood of the patients following cell therapy. These cytotoxic T lymphocytes expressed polyclonal T cell receptors (TCR) against neoantigens, along with abundant cytotoxic proteins and pro-inflammatory cytokines. The efficacy of neoantigen targeting was significantly associated with the immunogenicity and TCR polyclonality. Notably, the neoantigen-specific TCR clonotypes persisted in the peripheral blood after cell therapy. Our findings indicate that personalized neoantigen-based T cell therapy triggers cytotoxic lymphocytes expressing polyclonal TCR against ovarian cancer, suggesting its promising potential in cancer immunotherapy.
2023-12-01 | GSE248401 | GEO
Project description:<p>Neoantigens, which are derived from tumour-specific protein-coding mutations, are exempt from central tolerance, can generate robust immune responses and can function as bona fide antigens that facilitate tumour rejection. We demonstrated that a strategy that uses multi-epitope, personalized neoantigen vaccination, which has previously been tested in patients with high-risk melanoma, is feasible for tumours such as glioblastoma, which typically have a relatively low mutation load and an immunologically ‘cold’ tumour microenvironment. Here we conducted whole-exome sequencing of tumor and normal cells from individual patients with glioblastoma to identify tumor-specific mutations. We assessed the expression of mutated alleles by RNA-sequencing of tumor. We used personalized neoantigen-targeting vaccines to immunize patients newly diagnosed with glioblastoma following surgical resection and conventional radiotherapy in a phase I/Ib study. Patients who did not receive dexamethasone-a highly potent corticosteroid that is frequently prescribed to treat cerebral oedema in patients with glioblastoma-generated circulating polyfunctional neoantigen-specific CD4+ and CD8+ T cell responses that were enriched in a memory phenotype and showed an increase in the number of tumour-infiltrating T cells. Using single-cell T cell receptor analysis, we provide evidence that neoantigen-specific T cells from the peripheral blood can migrate into an intracranial glioblastoma tumour. Neoantigen-targeting vaccines thus have the potential to favourably alter the immune milieu of glioblastoma.</p>
| phs001519 | dbGaP
Project description:Acute Myeloid Leukemia (AML) is a heterogenous disease characterized by immature blasts at different maturation stage. We used single cell sequencing technique to analyze newly diagnosed AML patients.
2023-12-18 | GSE239721 | GEO
Project description:Expression profile of 14 newly diagnosed patients with Chronic Myeloid Leukemia and 14 Philadelphia chromosome negative patients after allo haematopoietc stem cell transplantation. We tested 754 microRNAs by reverse transcription quantitative polymerase chain reaction (RT-qPCR) array for each patient.
2020-09-23 | GSE148567 | GEO
Project description:We recently defined a gene expression-based signature of high-risk multiple myeloma; this predictive signature was developed with and independently validated for newly diagnosed patients treated with high dose therapy and stem cell rescue. Here we use Phase 3 clinical trial data to show that this signature also predicts short survival in relapsed disease treated with single agent bortezomib or high dose dexamethasone. In addition, a survival signature derived with relapsed myeloma samples identified newly diagnosed patients with short survival. Taken together these data suggest that a similar biology underlies poor outcome in both newly diagnosed and relapsed myeloma and provide strong evidence that the high-risk signature is a powerful tool to identify patients who are candidates for new therapeutic regimens. Keywords: Model validation
2011-08-20 | GSE8991 | GEO
Project description:Interventions: Personalized neoantigen peptide vaccine consists of 15-30 long peptides combined into four distinct immunizing peptide pools with 0.3 mg of each peptide admixed with 0.5 mg poly-ICLC per pool in a volume of 1 ml.;Experimental Biological/Vaccine;Personalized Neoantigen Peptide vaccine
Primary outcome(s): Overall response rate at week 9, 18 on treatment period and every 12 weeks until disease progression or up to 12 months modified RECIST 1.1
| 2568253 | ecrin-mdr-crc
Project description:We recently defined a gene expression-based signature of high-risk multiple myeloma; this predictive signature was developed with and independently validated for newly diagnosed patients treated with high dose therapy and stem cell rescue. Here we use Phase 3 clinical trial data to show that this signature also predicts short survival in relapsed disease treated with single agent bortezomib or high dose dexamethasone. In addition, a survival signature derived with relapsed myeloma samples identified newly diagnosed patients with short survival. Taken together these data suggest that a similar biology underlies poor outcome in both newly diagnosed and relapsed myeloma and provide strong evidence that the high-risk signature is a powerful tool to identify patients who are candidates for new therapeutic regimens. Keywords: Model validation See above (Series_summary)
2011-08-19 | E-GEOD-8991 | biostudies-arrayexpress
Project description:The aim of this study was to gain insight into the potential mechanism of resistance to arsenic trioxide and to identify genes that are modulated in the malignant promyelocytes at the time of relapse in APL patients. We analyzed the gene expression profile by the whole genome microarray of primary promyelocytes obtained from 8 newly diagnosed and 8 at relapse patients. Agilent one-color experiment,Organism: Human ,Agilent Whole Genome Human 4x44k (AMADID: 014850) , Labeling kit: Agilent Quick-Amp labeling Kit (p/n5190-0442) newly diagnosed versus relapse acute promyelocytic leukemia
2013-08-02 | E-GEOD-42030 | biostudies-arrayexpress
Project description:Expression data of health individuals and newly diagnosed multiple myeloma
| PRJNA512186 | ENA