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Ben Huang Profile
Ben Huang

@BenHuangLab

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@UCSF acute myeloid leukemia: mouse cancer modeling, molecular therapeutics, functional genomics, and biomarker discovery. We're hiring postdoctoral scholars!

UCSF Mission Bay
Joined September 2022
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@BenHuangLab
Ben Huang
5 months
Excited to share that our work was published in @JCO_ASCO! A report from the @COGorg: stem cell transplantation is associated with improved outcomes for children diagnosed with high-risk acute myeloid leukemia (AML). https://t.co/KAXArCd7Fp
ascopubs.org
PURPOSEHematopoietic stem cell transplantation (HSCT) is used as consolidation for pediatric patients with high-risk AML in first complete remission (CR1). The definition of high-risk AML has evolved...
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@BenHuangLab
Ben Huang
2 years
Excited to share that our work was published in @JCI_insight! We developed an inducible Ras isogenic cell line to provide insights into Raf activation. https://t.co/jyty9yakiw. @UCSFCancer @theNCI.
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@COGorg
Children’s Oncology Group
2 years
Last night, at the @StBaldricks event during the #COGFall2023Meeting, Todd Alonzo Braved the Shave for the 7th time! It's not too late to donate through Todd's page to help conquer kids' cancer: https://t.co/hr0RfoCIC5
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@BenHuangLab
Ben Huang
3 years
Excited to share about our contribution to a recent publication in @JClinicalInvest by the Meshinchi Lab. Targeting FOLR1 in CBFA2T3-GLIS2 AML. Using our computational pipeline to generate candidates, we are investigating promising immunotherapy targets. https://t.co/zrybDFEvwu
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@BenHuangLab
Ben Huang
3 years
The Huang Lab is hiring postdoctoral scholars ( https://t.co/r5V9UuzXpc)! Email me at ben.huang@ucsf.edu.
huanglabucsf.com
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@BenHuangLab
Ben Huang
3 years
Thank you to all of the collaborators and support that made this research possible! @UCSFCancer @FredHutch @StJudeResearch @NCIGenomics NCI TARGET @theNCI @COGorg @StBaldricks @RallyFoundation @ScottFurlan @TimTriche and so many others!
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@BenHuangLab
Ben Huang
3 years
Excited to share that our work was published in @NatureComms! We combined a leukemia stem cell signature with established cytomolecular risk factors in AML to build a more robust and informed relapse prediction model. https://t.co/pUW0ENsC5C
nature.com
Nature Communications - Relapsed pediatric acute myeloid leukemia is associated with poor prognosis. Here, the authors use RNA-seq data from 1503 primary samples to create a combined...
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