Thrilled to join a great group of Moffitt Cancer Center team members, advocates, researchers and clinicians in D.C.! Kicking off three days of advocacy, meetings with members of congress, #RallyMedRes and a briefing on the importance of #LungCancer screening. #MoffittDCFlyIn Rally for Medical Research

Enjoying Cold Spring Harbor Laboratory #BioData22 conference. Lots of novel methods and tools enabling the next wave of big data analyses. Can't wait to share our spatial statistical methods for mIF images and findings in high grade serous OC. Moffitt Cancer Center

Congrats everyone in the #hackathon2022 at Moffitt Cancer Center!! Was a wonderful challenge and exciting event! Now comes the hard part of refining and making "pretty" for investigators everywhere to analyze mass spec data easily and on the fly! #ShinyR

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! nature.com/articles/s4200…

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. Brooke Fridley

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. mdpi.com/1422-0067/24/3…

Great day to start the @M2GEN #ORIEN retreat at Huntsman Cancer Institute! Fantastic network of scientists working together to study massive cohorts and solve cancer.

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 Steven Ge is recognized everywhere! Check it out! bioinformatics.sdstate.edu/go/

Live from #ASCO23: Dr. Timothy Shaw (Tim Shaw 🇺🇸..🇹🇼..🇺🇸) joined us for a discussion on genetic heterogeneity between paired primary & metastatic solid tumors & implications for neoantigen-based personalized cancer vaccines. Learn more ➡️ bit.ly/433UbGa #MoffittASCO23 ASCO

Live from #ASCO23: Dr. Xuefeng Wang (Xuefeng Wang) presents on incorporating long non-coding RNA into genome-wide biomarker screening for prognostic gene signatures of immunotherapy outcomes. Learn more ➡️ bit.ly/3MJtJuv #MoffittASCO ASCO

Moffitt's Dr. Andrew Brohl 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 ➡️ bit.ly/3BR1Ag7 #MoffittASCO23 ASCO

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. nature.com/articles/s4159…

Lots of great clinical trials and translational work being done at #KCRS23!

Great opportunity to meet Toni Choueiri, MD and @AriHakimi at #KCRS23. Champions of kidney cancer!

An interactive version of the R package #spatialGE by Oscar Ospina is not live at spatialge.moffitt.org . If you have spatial transcriptomic data, check it out! New age of RNA analyses.

Happy to have our spatial transciptomic kidney cancer paper online bioRxiv Cancer Bio. Currently under review and amazing adventure with great spatial findings. Check it out on and see the power of #SpatialTranscriptomics Brooke Fridley doi.org/10.1101/2023.1…

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. Brooke Fridley fridleylab.github.io/scSpatialSIM/i…

Further understanding the tumor environment to shed light on differences in histological subtypes and patient survival. Wonderful study Oscar Ospina

Amazing approach using multi-modal data

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 (Mitch Hayes) worked on with pRCC in the Manley Lab. Spatial contexture is critical to communication in the TIME. #KCRS24