Great to hear all the impactful work going into kidney cancer research. Happy to share the spatial biology (mIF and single cell spatial transcriptomics) we (@MitchHayesMD) worked on with pRCC in the Manley Lab. Spatial contexture is critical to communication in the TIME. #KCRS24
Our team effort with @song_xiaofei and @UrogerliMD integrates imaging and transcriptomic from GeoMx, highlighting the sweet ‘spot’ at the sub-cellular level. Thrilled to have many people stopped by, including the @joebeechem @nanostringtech
#spatialOmics#MoffittAACR24@AACR
At #AACR24, Alex Soupir, PhD, (@AlexSoupir) presents on the genomic landscape and estimation of immune infiltration of soft tissue sarcoma histology subtypes from the ORIEN network.
Key findings:
1️⃣ORIEN provides an extensive number and variety of sarcoma histological subtypes with both RNA and WES data.
2️⃣Confirmed abundant TP53 and KIT mutations.
3️⃣Showed significantly higher mutational load and whole genome amplification in metastatic tumors.
4️⃣Found distinct histology clusters with uniquely unregulated genes and enriched gene sets.
5️⃣Immune subtypes with different gene set and survival characteristics.
Read more: https://t.co/SXkkZEQ0YH
#MoffittAACR24
With spatial -omics in mind, check out out single-cell spatial point pattern simulation package for #R. Currently available on #CRAN and able to simulate both spatial protein and spatial transcriptomic data fro method benchmarking.
@BrookeFridley
https://t.co/qSB1ctQMbG
Happy to have our spatial transciptomic kidney cancer paper online @biorxiv_cancer. Currently under review and amazing adventure with great spatial findings. Check it out on and see the power of #SpatialTranscriptomics@BrookeFridley
https://t.co/artvOlTDog
An interactive version of the R package #spatialGE by @oscareospina is not live at https://t.co/dn7FuqyZmr . If you have spatial transcriptomic data, check it out! New age of RNA analyses.
Our prostate cancer dataset has been published in ScienificData. Bringing together 19 studies with more than 2900 primary tumor samples. Fantastic resource for exploring and validating biomarkers and risk scores.
https://t.co/38Bgekh09k
Live from #ASCO23: Dr. Timothy Shaw (@gatechatl) joined us for a discussion on genetic heterogeneity between paired primary & metastatic solid tumors & implications for neoantigen-based personalized cancer vaccines.
Learn more ➡️ https://t.co/GtY2jQWspw
#MoffittASCO23@ASCO
Live from #ASCO23: Dr. Xuefeng Wang (@xuefwang) presents on incorporating long non-coding RNA into genome-wide biomarker screening for prognostic gene signatures of immunotherapy outcomes.
Learn more ➡️ https://t.co/Rj3erGj3e7
#MoffittASCO@ASCO
Moffitt's Dr. @AndrewBrohl discusses a phase 1b trial of IFx-Hu2.0, a novel personalized cancer vaccine, in checkpoint inhibitor resistant Merkel cell carcinoma and cutaneous squamous cell carcinoma while at #ASCO23.
Learn more ➡️ https://t.co/bCfSUUHEIf
#MoffittASCO23@ASCO
Had a wonderful surprise this afternoon. Working on our CosMx SMI #spatialtranscriptomics data, had a clinician suggest we do something like #ShinyGO. Small world where a great bioinfomatician like @StevenXGe is recognized everywhere! Check it out!
https://t.co/f4DTBxmSs0
Great day to start the @M2GEN#ORIEN retreat at @huntsmancancer! Fantastic network of scientists working together to study massive cohorts and solve cancer.
Do you know the right #exosome extraction method for your use case? Many commercially available use different technologies, but not all are created equal. We explored #lipidomic and #metabolomic profiles of exosomes in cancer patient plasma.
https://t.co/cPeIiqThZ1
Happy to share #curatedPCaData - an #R package that integrates many data types from 19 prostate cancer studies into a single location for easy exploration and validation. @BrookeFridley
T-regs in #NSCLC are associated with worse outcomes. Interesting their prognostic association differs based on cancer type. A few large epidemiology studies show presence associated with better OS in #HGSOC. Great findings!
https://t.co/FQMIw1vO2g
@InnaSmalley Thank you, @paulocilasjr, for all your hard work. You did something many investigators will find incredibly valuable, spreading IRON normalization even further. The hardest worker of all of us!