Results 11 to 20 of about 24,047,971 (353)
Cancers, 2019 p21 functions as a cell cycle inhibitor and anti-proliferative effector in normal cells, and is dysregulated in some cancers. Earlier observations on p21 knockout models emphasized the role of this protein in cell cycle arrest under the p53 transcription factor activity.
Bahar Shamloo, Sinem Usluer
openaire +4 more sources
Exploring the promising potential of induced pluripotent stem cells in cancer research and therapy
Molecular Cancer, 2023 The advent of iPSCs has brought about a significant transformation in stem cell research, opening up promising avenues for advancing cancer treatment. The formation of cancer is a multifaceted process influenced by genetic, epigenetic, and environmental ...
Matin Chehelgerdi +13 more
semanticscholar +1 more source
Big data in basic and translational cancer research
Nature Reviews. Cancer, 2022 Historically, the primary focus of cancer research has been molecular and clinical studies of a few essential pathways and genes. Recent years have seen the rapid accumulation of large-scale cancer omics data catalysed by breakthroughs in high-throughput
Peng Jiang +5 more
semanticscholar +1 more source
Patient-derived xenograft (PDX) models, applications and challenges in cancer research
Journal of Translational Medicine, 2022 The establishing of the first cancer models created a new perspective on the identification and evaluation of new anti-cancer therapies in preclinical studies. Patient-derived xenograft models are created by tumor tissue engraftment.
S. Abdolahi +5 more
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Artificial Intelligence in Cancer Research and Precision Medicine.
Cancer Discovery, 2021 Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical care. Availability of high-dimensionality datasets coupled with advances in high-performance computing, as well as innovative deep learning architectures, has led
B. Bhinder +3 more
semanticscholar +1 more source
Spatial omics: Navigating to the golden era of cancer research
Clinical and Translational Medicine, 2022 The idea that tumour microenvironment (TME) is organised in a spatial manner will not surprise many cancer biologists; however, systematically capturing spatial architecture of TME is still not possible until recent decade.
Yingcheng Wu +4 more
semanticscholar +1 more source
Applications of single-cell sequencing in cancer research: progress and perspectives
Journal of Hematology & Oncology, 2021 Single-cell sequencing, including genomics, transcriptomics, epigenomics, proteomics and metabolomics sequencing, is a powerful tool to decipher the cellular and molecular landscape at a single-cell resolution, unlike bulk sequencing, which provides ...
Ya-Nan Lei +7 more
semanticscholar +1 more source
Applications of Microfluidics and Organ-on-a-Chip in Cancer Research
Biosensors, 2022 Taking the life of nearly 10 million people annually, cancer has become one of the major causes of mortality worldwide and a hot topic for researchers to find innovative approaches to demystify the disease and drug development.
Sagar Regmi +3 more
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Spatial transcriptomics technology in cancer research
Frontiers in Oncology, 2022 In recent years, spatial transcriptomics (ST) technologies have developed rapidly and have been widely used in constructing spatial tissue atlases and characterizing spatiotemporal heterogeneity of cancers.
Qichao Yu, Miaomiao Jiang, Liang Wu
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Metabolomics in cancer research and emerging applications in clinical oncology
Ca, 2021 Cancer has myriad effects on metabolism that include both rewiring of intracellular metabolism to enable cancer cells to proliferate inappropriately and adapt to the tumor microenvironment, and changes in normal tissue metabolism.
D. R. Schmidt +5 more
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