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CancerSystemsBiology

@CancerSysBio

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A group of cancer systems biologists originating from an NCI-sponsored program to foster integrated approaches to cancer research. Tweets our own.

Across the US
Joined February 2015
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@CancerSysBio
CancerSystemsBiology
3 hours
Our final lightning talk by Dr. Angela Bowen
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@CancerSysBio
CancerSystemsBiology
3 hours
Last speaker in our postdoc highlight session is Dr. Wei Hu #SACB2025 on reversible and irreversible resistance mechanisms and personalized treatment
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@CancerSysBio
CancerSystemsBiology
3 hours
Now in the postdoc highlight session, Dr. Raghav Jain tells us about their work on AML using multiomics data from CPTAC4 #SACB2025
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@CancerSysBio
CancerSystemsBiology
4 hours
An example on how the efficacy synergy framework MuSyC has been applied for a novel drug
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@CancerSysBio
CancerSystemsBiology
4 hours
An impressive result from their work - their model would have been able to predict from single treatment trials what would have happened in the combination trials
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@CancerSysBio
CancerSystemsBiology
4 hours
To start our postdoc highlight session, we have Dr. John Metzcar @jmetzcar telling us about his work on mechanistic modeling of glioblastoma and its microenvironment #SACB2025
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@CancerSysBio
CancerSystemsBiology
5 hours
Last speaker for the tumor metabolism session is Dr. Yapeng Su @SuYapeng from the Fred Hutch #SACB2025
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@CancerSysBio
CancerSystemsBiology
6 hours
Our cancer metabolomics session continues with Dr. Bethany Veo who will talk about recurrent medulloblastoma that is resistant to radiation #SACB2025
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@CancerSysBio
CancerSystemsBiology
6 hours
Dr. Cholsoon Jang @cholsoon_jang up next in the metabolism session with a talk on metabolism rewiring in liver cancer and ferroptosis #SACB2025
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@CancerSysBio
CancerSystemsBiology
6 hours
Dr. Chandrasekaran @sriram_lab on how other omics can be used to predict the metabolome in cell lines using Recon8D
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@CancerSysBio
CancerSystemsBiology
9 hours
Last speaker in the tumor heterogeneity session at #sacb2025 is Michelle Barbeau studying EMT via proteogenomic approaches
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