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Is #ASCOhaiku a thing? You'd think if @aacr encouraged it at #aacr17 .... (I heard there might be a rivalry)

#asco17 @ASCO @ASCOPost

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AACR Reflections: Genomics Adapts to I-O World, Scientists Stand Up, and Re-Thinking How to Fight Early-Stage Cancer - TimmermanReport.com As AACR’s annual meeting wrapped up in Washington, DC, I was surprised and honored when Luke asked me to jot down some thoughts that expanded on some of the musings that I had initially shared with the bio-Twitter community during the meeting (@drsam). Without further ado, let’s get started.

Thanks to @ldtimmerman and @TimmermanReport for inviting me to contribute my reflections on #AACR17.

timmermanreport.com/2017/04/aacr-reflections...

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So long #AACR17 - this was one for the books

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Kudos to @AACR for giving a platform to so many #womeninSTEM at this #AACR17 meeting - inspiring stories and great science, it's a win-win

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Segal simplifies lack of fitness in artificial system=p53 passenger mutation - don't agree with this #AACR17

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Segal: high-susceptibility region in C-term of DBD domain of p53 - loss of function, as expected diff substitutions have diff effect #AACR17

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Segal: mutants that retain WT p53 activity depleted from population as expected - so far all very predictable #AACR17

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Finally Segar moves to p53 "mutome" - an analysis of 10,000 p53 mutants to look for the expected differences #AACR17

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Q: colon - high cancer rates, small intestines low, but same exact mutation rates. More people bringing up complexities #AACR17

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Interesting question on how does Peto's paradox factors into Tomasetti's model #AACR17

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Willett: we cannot partition cancer risk into E,H&R - too much interplay between factors #AACR17

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Q:how about H&E factors affecting polymerases?Tomasetti:stresses that even in perfect case scenario,polymerases still make errors #AACR17

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Q: simplistic study, lack of correlation to risk, consider complexity, identify points of intervention for prevention at every stage #AACR17

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Have you considered patterns of mutations?Tomasetti:he says upcoming work shows 37% lung cancer mutations due to R #AACR17

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This seems to be biggest disconnect between what he says/it's perceived of this bad luck study #AACR17

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Tomasetti stressing he's talking about mutations,not cancer cases.many people mentioned last sentence of his paper making connection #AACR17

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Tomasetti q&a: we are not talking about cases in paper,only mutations, proportions of mutations #AACR17

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Willett hints several times at complexity of issue, hinting at oversimplification-talking about effects that even diet has on risk #AACR17

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I guess the point that Willett had is environmental factors likely downplayed in model, particularly combination of factors #AACR17

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Crews on finding crevices on undraggable protein surfaces to PROTAC in order to target undraggable proteome #AACR17

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PROTAC activity depends on integrity of ligand binding side, so shares some limitations of traditional small molecule drugs #AACR17

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Crews: first orally active PROTAC anti-AR, now also anti-ERa, nice in vivo activity #AACR17

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Crews: "linkerology" i.e. the science of optimizing links for "PROTACking" your protein of choice #AACR17

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Crews: target validation with protein degradation using HALOProtacs - libraries of HALO-fusions available #tools #AACR17

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Crews: introducing event-driven pharmacology, a term I will definitely adopt from today to discuss principles behind our approach #AACR17

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D'Andrea: ezh2 inhibitor should not be combined w/parp inhibitor as it speeds up resistance -nice mouse data #AACR17

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Grandis: patients very willing to participate to window trial - even if told that drugs are unlikely to benefit them #AACR17

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Grandis: 5 ongoing HNC window trials for combinatorial treatments #AACR17

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Grandis: window trials with checkpoint inhibitors maximizing amount of biological info that can be obtained from patients #AACR17

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Hanahan: tumors are not bag of cells! Diverse and interact with surroundings #AACR17

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