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Mashup Score: 34
Clonal evolution in multiple myeloma (MM) needs to be understood in both the tumor and its microenvironment. Here the authors perform single-cell multi-omics profiling of samples from MM patients at different stages, finding transitions in the immune cell composition throughout progression.
Source: Nature CommunicationsCategories: General Medicine News, Latest HeadlinesTweet
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Mashup Score: 1
The dynamic interactions between an evolving malignancy and the adaptive immune system generate diverse evolutionary trajectories that ultimately result in tumor clearance or immune escape. Here, we create a simple mathematical model coupling T-cell recognition with an evolving cancer population that may randomly produce evasive subclones, imparting transient protection against the effector T…
Source: Cancer ResearchCategories: Hem/Onc News and JournalsTweet-
George & Levine develop a mathematical model for studying the #Coevolution between an immune-evasive #cancer population and the adaptive #ImmuneSystem. @RiceUniversity @Northeastern https://t.co/TdZL3sClu5 https://t.co/KM3IoNOK67
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Mashup Score: 9
The dynamic interactions between an evolving malignancy and the adaptive immune system generate diverse evolutionary trajectories which ultimately result in tumor clearance or immune escape. Here, we create a simple mathematical model coupling T-cell recognition with an evolving cancer population which may randomly produce evasive subclones, imparting transient protection against the effector…
Source: Cancer ResearchCategories: Hem/Onc News and JournalsTweet-
George & Levine develop a mathematical model for studying the #Coevolution between an immune-evasive #cancer population and the adaptive #ImmuneSystem. @RiceUniversity @Northeastern https://t.co/FvEoaWq3K8 https://t.co/KS6fYzmGt0
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New work by Li Ding's lab: #coevolution and subpopulation changes in #MultipleMyeloma and its #immune #microenvironment revealed by #SingleCell #multiomics #CancerResearch @NatResCancer https://t.co/cn1lgvn6cr https://t.co/LUSfbOIodq