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Zheng Hu proslijedio/la je Tweet
SCI member
@cncurtis is featured in@nature's technologies to watch in 2020 - her team developed a computational model that explores the dynamics of#cancer progression by simulating virtual tumors with patterns of mutation that mimic patient data. https://go.nature.com/36huaowHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Zheng Hu proslijedio/la je Tweet
Our new special issue, Cancer Evolution and Metastasis, is now open for submissions! Guest Edited by Christina Curtis
@cncurtis and Florian Markowetz@markowetzlab. Deadline April 30th 2020.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Zheng Hu proslijedio/la je Tweet
First post-vacation lecture today at
@CarrerasIJC: an intereresting talk by Dr. Jose A. Seoane@seoaneja from@cncurtis lab of@StanfordMed about how#bioinformatics can help to predict response to#chemotherapy in#breastcancerpic.twitter.com/sjCAimITHc
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Another fascinating study providing genomic evidences of early metastatic seeding now in esophageal adenocarcinoma.https://twitter.com/NatureGenet/status/1214237790478712838 …
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Extraordinary work by
@cristomasetti and colleagues. VERY interestingly, the third cancer driver mutation (likely linked to malignant transformation) occurs when the patients were only 30-40 yrs old. Does this also suggest metastasis often starts many yrs before diagnosis?https://twitter.com/luiza_moore/status/1211699819082854400 …
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Zheng Hu proslijedio/la je Tweet
Adding 3 2019 papers that challenged conventional wisdom: 1. Off-target toxicity of
#cancer drugs https://stm.sciencemag.org/content/11/509/eaaw8412/tab-article-info …@ScienceTM by@JSheltzer et al, thanks@CancerConnector 2. Phage resistant to#CRISPR, by@joeBondyDenomy et al, thanks@szetoinsitu https://www.nature.com/articles/s41586-019-1786-y.epdf?referrer_access_token=4pDh72xpyIFqlAfGvPngUNRgN0jAjWel9jnR3ZoTv0MPyVRvJXT39a9YEVU-5vCqqYSXimRey6M6QLAf4YD_o0wHe-oqQd-idlxIYMYcuyqFvISNX7G4nxm-2oNeH0fhZsqChQohHdtsOwbummW6MNn2ennhalAXWxxFF6m8nrbEHjR9dt-pj_0n4IhAOhYbjRMSqeEtZdk6uDOnmJkr41n8oUUZn_WAjvkWvbn2YooJNTiQH7iuFJAxTlDTA8YcOQ2t_ygtHuibfMO_-zz7GI3MUiRPXCd3KPHJTFhhdys%3D&tracking_referrer=www.theatlantic.com …pic.twitter.com/qwFIwL44Bi
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Zheng Hu proslijedio/la je Tweet
And by the way, I have one PhD and Post Doc position open. If you know someone interested in these lines of work (ecDNA or "classic" somatic evolution), consider working with me in London!https://www.bartscancer.london/staff/dr-benjamin-werner/ …
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Very excited to be named in this dogma-challenging paper list in the year 2019. Thank you!
@EricTopol More evidences for early metastatic spread across cancer types are provided in our follow up study: https://www.biorxiv.org/content/10.1101/825240v1.full …https://twitter.com/EricTopol/status/1205952384913903616 …
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Zheng Hu proslijedio/la je Tweet
Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Bodyhttps://www.cell.com/cell/fulltext/S0092-8674(19)31269-3#.XfKonxiOmLI.twitter …
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Zheng Hu proslijedio/la je Tweet
#ICYMI Last week we released the November 2019 edition of OUR Top 10 Cancer Research Publications! Curated by the EACR board, we summarise 10 new and exiciting articles in the#cancerresearch field! Read it on#TheCancerResearcher magazine: http://zpr.io/ts2yg pic.twitter.com/dmEV3Rv0dF
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Zheng Hu proslijedio/la je Tweet
The PDXNet and EuroPDX consortia have joined forces to perform an important analysis of copy number evolution during cancer xenograft engraftment and passaging. See our biorxiv preprint here:http://disq.us/t/3k3a0o7
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Zheng Hu proslijedio/la je Tweet
My lab at JAX-GM has a postdoc opening for cancer research intersecting genomics, ecology/evolution, imaging, pathology, and machine learning. Diverse backgrounds are welcome for this exciting interdisciplinary work! http://chuanglabwiki.jax.org/Openings
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Zheng Hu proslijedio/la je Tweet
Outstanding work by
@huzheng1 featured as top 10 cancer research publications from EACR! Congrats Zheng and@cncurtishttps://twitter.com/EACRnews/status/1198991027178233856 …
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Zheng Hu proslijedio/la je Tweet
Our paper on “The Mutational Footprints of Cancer Therapies” is out in
@NatureGenet. https://www.nature.com/articles/s41588-019-0525-5 …pic.twitter.com/pFMc0zSITU
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Zheng Hu proslijedio/la je Tweet
Our paper showing how chromatin regulators modify response to anthracycline in breast cancer in out in
@NatureMedicine!. Great collaboration between@cncurtis lab and Crabtree lab@Trappingcampus at@StanfordMed.https://www.nature.com/articles/s41591-019-0638-5 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Zheng Hu proslijedio/la je Tweet
(THREAD) Hello! I’m happy to tweet out that the final paper from my
@OxUniMaths DPhil thesis is now out online: “Inferring Tumour Proliferative Organisation from Phylogenetic Tree Measures in a Computational Model” https://academic.oup.com/sysbio/advance-article/doi/10.1093/sysbio/syz070/5609129?searchresult=1 … (1/n)#mathonco#mathevo#clecliniccancerpic.twitter.com/XUvLhIp6Vc
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Zheng Hu proslijedio/la je Tweet
Chromatin regulators mediate anthracycline sensitivity in breast cancer by
@seoaneja@caswell_jin@cncurtis and colleagues@NatureMedicinehttps://www.nature.com/articles/s41591-019-0638-5 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Zheng Hu proslijedio/la je Tweet
Variation in the life history strategy of cells underlies tumor's functional diversity http://biorxiv.org/cgi/content/short/829135v1 …
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Zheng Hu proslijedio/la je Tweet
Happy
#PancreaticCancer Awareness Month! Here’s a preprint of “Evolutionary Origins of Recurrent Pancreatic Cancer”. | bioRxiv#clonalevolution#wpcd @CpcrMskhttps://www.biorxiv.org/content/10.1101/811133v1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Further, these data suggest that the natural course of metastasis is selectively relaxed relative to early tumor development and that metastasis-private mutations are not drivers of cancer spread but are instead associated with drug resistance. 4/4
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