Nelson: His disclosures - 'I'm as corrupt as anybody, here's a list of how I've failed ot get rich' (Ha!) #AACR17
9:39am April 4th 2017 via Hootsuite
William Nelson (Johns Hopkins MD) Understanding Cancer (overview for HS students here at #AACR17)
9:38am April 4th 2017 via Hootsuite
Davidson: The connection between lab and clinic 'was so energizing for me'. So many ways to contribute - 'we're counting on you' #AACR17
9:36am April 4th 2017 via Hootsuite
Davidson: #AACR17 She participated in a Walter Reed summer program; from undergrad, to medical school, to breast cancer research.
9:34am April 4th 2017 via Hootsuite
Nancy Davidson #AACR17 President - as Winston Churchill HS grad, she asked about area students. 'This can be you too."
Showing intro video at #AACR17 with a group of motivated area high-school future cancer researchers https://t.co/9cX3MntfoK
9:25am April 4th 2017 via Hootsuite
Attending a neat #AACR17 program "The conquest of cancer and the next generation of cancer researchers" for area high-school students
9:23am April 4th 2017 via Hootsuite
Q: Avail of MS Score tool? Wu: Published last month, lots of interest. Ref: https://t.co/f4QBVDrjLB Poster session in AM Section 35 #AACR17
7:46am April 4th 2017 via Hootsuite
Q: Average response of the 20 epitopes/pt? Wu: CD4, about 4, CD8, about 2 #AACR17
7:43am April 4th 2017 via Hootsuite
RT @SeraCare: Check out our latest research in the #AACR17 poster sessions! https://t.co/YZNQgFkJMD https://t.co/HkQJTk4xLd
7:42am April 4th 2017 via Hootsuite
Q: MS Score cp to NetMHCpan quadrants? Wu: Affinity does not equal processing/presented. May generate responses but not productive #AACR17
7:41am April 4th 2017 via Hootsuite
Q: How were new reading events caused? Wu: Used DNA-level alterations. NeoORFs from indel events. RNAseq confirmed, splicing unk #AACR17
7:36am April 4th 2017 via Hootsuite
Wu: Showed data that their predictor rules work better. Concl.: NGS enables systematic mining for potential neoAGs #AACR17
7:35am April 4th 2017 via Hootsuite
Wu: Can build a new predictor using peptide features only, combine with gene exp, cleavability, hidden network modeling #AACR17
7:33am April 4th 2017 via Hootsuite
Wu: Looked at gene expression and binding affinity; good predicted binding but low exp, or the opposite, all present as epitopes #AACR17
7:32am April 4th 2017 via Hootsuite
Wu: Experimental binding agreed very well with their MS scoring. Showed busy table of cleavage rules from their model #AACR17
7:31am April 4th 2017 via Hootsuite
Wu: These ~250 peptide - ID new peptide motifs, IEDB compared to their MS method. Comparing their scored, netMHCPan, nM measured #AACR17
Wu: >24K HLA-assoc peptides ID 16 alleles; 1500 peptides/allele. 11% have 'signficant' changes (of 20 AAs 13 alleles 9 pos) #AACR17
7:29am April 4th 2017 via Hootsuite
Wu: They had HLA-null B-cell line, with single-allele approach, optimized nano-IP of 50M cells, create de-novo predictors #AACR17
7:28am April 4th 2017 via Hootsuite
Wu: Using Mass-spec to look at peptide (LC-MS/MS Orbitrap) - is a multi-allele approach. Interference of binding allele #AACR17
7:27am April 4th 2017 via Hootsuite
Wu: Databases - IEDB, NetMHCpanwere from heterogeneously collected datasets. Don't address 'black box' of antigen processing #AACR17
Wu: What about lower mutation load: GBM, Renal. Next: improving prediction of neoAG targets. #AACR17
7:25am April 4th 2017 via Hootsuite
Wu: Now have good AGs - what is impact of schedule, route of admin, what about co-existing tumor, combine w/other checkpoint inh #AACR17
7:24am April 4th 2017 via Hootsuite
Wu: Similar pts resp rate was only 5%. Now 12 to 24 mo post-surgery. Showed persistence, enh breadth of neoepitope responsiveness #AACR17
Wu: Mix of Stg III / IV melanoma pts - 2 Stg IV recurred shortly after vaccination; 4 doses on Pembro 'went into complete resp' #AACR17
7:22am April 4th 2017 via Hootsuite
Wu: Sorting CD4+ cels, single-cell RNA analysis pre- and post- showed major shifts in gene expression (dozens) incl metabolism #AACR17
7:21am April 4th 2017 via Hootsuite
Wu: These neoAG-reactive Tcells reacted w/autologous cells; other data shows endogenous dendritic cells #AACR17
7:20am April 4th 2017 via Hootsuite
Wu: The neoORF data validated their approach to use long peptide. NeoAG-reactive T-cells have cytolytic potential #AACR17
7:19am April 4th 2017 via Hootsuite
Wu: Their study focused on melanoma, generated four pools of long peptides. Several CD4/CD8 activated cells were 'neoORFs' #AACR17
7:18am April 4th 2017 via Hootsuite
Wu: Started with Nurses Health Study data, >600 samples WES, >20y followup #AACR17
7:16am April 4th 2017 via Hootsuite
Catherine Wu (Dana Farber MA) Using genomics in the clinic to predict / harness neoantigen biomarkers of checkpoint therapy #AACR17
7:14am April 4th 2017 via Hootsuite
Note "you millenial hoodies" - classic https://t.co/DXmVWlH8nF
9:20pm April 3rd 2017 via Hootsuite
RT @Helena_LB: Ow. My brain hurts. https://t.co/kNxlz1ogDs
8:55pm April 3rd 2017 via Hootsuite
RT @drbachinsky: Cruel fusion: What a young man’s death means for childhood cancer https://t.co/TXBtnSwn3C
7:50pm April 3rd 2017 via Hootsuite
Why Science Communication is an Essential Skill in 2017 | ACS Axial: Your Bond With Chemistry Research https://t.co/7OV8JYmKix
5:50pm April 3rd 2017 via Hootsuite
Hanahan: Reviews intestinal microbiota and cancer - stimulating the immune system. '17 rev https://t.co/aiySaJ1awy #AACR17
5:33pm April 3rd 2017 via Hootsuite
Weinberg: Non-genetically templated information. Where do cancer SCs reside along EMT spectrum? #AACR17
5:31pm April 3rd 2017 via Hootsuite
Weinberg: EMTs may reinforce its own programming; epigenetic activation. Looking at all the phenotypes: additionally cancer ones #AACR17
5:24pm April 3rd 2017 via Hootsuite
Weinberg: Normal cell differentiation survives in its long evolution to high-grade malignancy. #AACR17
5:22pm April 3rd 2017 via Hootsuite
Robert Weinberg: Nothing in cancer research should be taken 'ex cathedra', where opinions of a few dominate. #AACR17
5:21pm April 3rd 2017 via Hootsuite
@TorontoGenomics @aacr17 It's a bit of a marathon but #AACR17 continues to surprise - both people you meet and the things you learn.
5:21pm April 3rd 2017 via Hootsuite in reply to TorontoGenomics
Hanahan: For shunting terminal differentiation: "the jury is still out". Cancer stem cells w/reprogramming factors implicated #AACR17
5:17pm April 3rd 2017 via Hootsuite
Hanahan: Loss of APC in colon cancer - specific fn of blocking terminal differentiation. #AACR17
5:13pm April 3rd 2017 via Hootsuite
Hanahan: Will present present intriguing candidates w/vignettes. Consider 'shunted terminal differentiation'. Lineage plasticity? #AACR17
5:11pm April 3rd 2017 via Hootsuite
Hanahan: Acquired capabilities, two chars, tumor microenvironment. Are there additional hallmarks (and parameters) of cancer? #AACR17
5:09pm April 3rd 2017 via Hootsuite
Hanahan: #AACR17 '15 Cell updated https://t.co/lojPThnwwo Shows diagram of how drugs target each. Written up in several textbooks.
5:07pm April 3rd 2017 via Hootsuite
Hanahan: 7th - deregulating energetics, 8th avoiding immune destruction. 2nd enabling char - tumor-promoting inflammation. #AACR17
5:05pm April 3rd 2017 via Hootsuite
Doug Hanahan: Are there new hallmarks of cancer? Walks through '00 Cell https://t.co/iqys0TfqGk #AACR17
5:03pm April 3rd 2017 via Hootsuite
Evan: #AACR17 Shows rapid modulation of pancreatic epithelial cell signaling by Myc. Shows AXL kinase inh blocking proliferation in stroma
4:42pm April 3rd 2017 via Hootsuite
Evan: Turning on both - explodes. From PanIN to PDAC: is it preprogrammed? After Myc turned on, 1d-7d timecourse shown #AACR17
4:40pm April 3rd 2017 via Hootsuite
