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IMMUNE LANDSCAPES PREDICT CHEMOTHERAPY RESISTANCE AND IMMUNOTHERAPY RESPONSE IN ACUTE MYELOID LEUKAEMIA

ABSTRACT: IMMUNE LANDSCAPES PREDICT CHEMOTHERAPY RESISTANCE AND IMMUNOTHERAPY RESPONSE IN ACUTE MYELOID LEUKAEMIA

PROVIDER: PRJNA555714 | ENA |

REPOSITORIES: ENA

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IMMUNE LANDSCAPES PREDICT CHEMOTHERAPY RESISTANCE AND IMMUNOTHERAPY RESPONSE IN ACUTE MYELOID LEUKAEMIA

Project description:Immunological classifiers that predict patient outcome and therapeutic responses have been constructed through targeted immune gene expression profiling of diagnostic bone marrow samples from patients with acute myeloid leukaemia.

2020-06-03 | GSE134589 | GEO

IMMUNE SENESCENCE PHENOTYPES PREDICT CHEMOTHERAPY RESISTANCE IN ACUTE MYELOID LEUKAEMIA

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Uveal Melanoma Immunogenomics Predict Immunotherapy Resistance and Susceptibility

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Single-cell transcriptomic profiling reveals immune cell heterogeneity in acute myeloid leukaemia peripheral blood mononuclear cells after chemotherapy

Project description:Purpose Acute myeloid leukaemia (AML) is a heterogeneous disease characterised by the rapid clonal expansion of abnormally differentiated myeloid progenitor cells residing in a complex microenvironment. However, the immune cell types, status, and genome profile of the peripheral blood mononuclear cell (PBMC) microenvironment in AML patients after chemotherapy are poorly understood. In order to explore the immune microenvironment of AML patients after chemotherapy, we conducted this study for providing insights into precision medicine and immunotherapy of AML. Methods In this study, we used single-cell RNA sequencing (scRNA-seq) to analyse the PBMC microenvironment from five AML patients treated with different chemotherapy regimens and six healthy donors. We compared the cell compositions in AML patients and healthy donors, and performed gene set enrichment analysis (GSEA), CellPhoneDB, and copy number variation (CNV) analysis. Results Using scRNA-seq technology, 91,772 high quality cells of 44,950 PBMCs from AML patients and 46,822 PBMCs from healthy donors were classified as 14 major cell clusters. Our study revealed the sub-cluster diversity of T cells, natural killer (NK) cells, monocytes, dendritic cells (DCs), and haematopoietic stem cell progenitors (HSC-Prog) in AML patients under chemotherapy. NK cells and monocyte-DCs showed significant changes in transcription factor expression and chromosome copy number variation (CNV). We also observed significant heterogeneity in CNV and intercellular interaction networks in HSC-Prog cells. Conclusion Our results elucidated the PBMC single-cell landscape and provided insights into precision medicine and immunotherapy for treating AML.

2023-08-31 | GSE235857 | GEO

caArray_lau-00212: Expression profiles of osteosarcoma that can predict response to chemotherapy

Project description:Use of expression profiles of osteosarcoma to predict response to chemotherapy

2016-05-26 | GSE81892 | GEO

MicroRNA signature predict chemotherapy response in patients with advanced colorectal cancer

Project description:The aim of our study was to evaluate the ability of miRNA expression patterns to predict chemotherapy response in a cohort of 39 patients with metastatic colorectal carcinoma

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Gene expression-profiling to predict induction chemotherapy efficacy in locoregionally advanced nasopharyngeal carcinoma

Project description:Gene expression signature can be used to predict treatment efficacy in various types of tumour. We aim to identify a gene expression signature to predict efficacy of induction chemotherapy (IC) in patients with locoregionally advanced nasopharyngeal carcinoma (LA-NPC).

2021-04-14 | GSE132112 | GEO

Immune landscapes predict chemotherapy resistance and immunotherapy response in acute myeloid leukemia.

Project description:Acute myeloid leukemia (AML) is a molecularly and clinically heterogeneous hematological malignancy. Although immunotherapy may be an attractive modality to exploit in patients with AML, the ability to predict the groups of patients and the types of cancer that will respond to immune targeting remains limited. This study dissected the complexity of the immune architecture of AML at high resolution and assessed its influence on therapeutic response. Using 442 primary bone marrow samples from three independent cohorts of children and adults with AML, we defined immune-infiltrated and immune-depleted disease classes and revealed critical differences in immune gene expression across age groups and molecular disease subtypes. Interferon (IFN)-γ-related mRNA profiles were predictive for both chemotherapy resistance and response of primary refractory/relapsed AML to flotetuzumab immunotherapy. Our compendium of microenvironmental gene and protein profiles provides insights into the immuno-biology of AML and could inform the delivery of personalized immunotherapies to IFN-γ-dominant AML subtypes.

| S-EPMC7427158 | biostudies-literature

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