Drew T Bergman, MD
@dtbergman
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TY Intern @newtonwellesley @MassGenBrigham & incoming radiation oncology resident @MSK_RadOnc | MD @GeiselMed @dartmouth | Married to @AlexaRiobueno | He/him
Dartmouth via Broad/BU
Joined August 2012
Our work on enhancer and promoter compatibility using hundreds of thousands of E-P pairs is now online at @Nature!. New data and analyses summarized below 👇. Thanks to reviewers and the team!.
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Excited to share work moving the needle on implementing whole-transcriptome RNA-seq in solid tumors from the amazing team from the @DHMC_CGAT lab @DartmouthHealth. Lots more to come.
Excited to share our implementation of whole transcriptome sequencing in the @DHMC_CGAT laboratory at @DartmouthHealth. This is now our primary approach for gene fusion detection. PMID: 40440583
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Ultimately, biggest thanks to the many pts whose data is enabling the next gen of genomic tools in clinical oncology.
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Thanks to the full DH-CancerSeq team including the many technologists and bioinformaticians who created and analyzed these data. Thanks also to @DHMC_RadOnc for your continued support.
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Next steps: Improve the validity of our models by integrating more data + continue to explore the full potential of routine combined solid tumor whole-exome/transcriptome + roll out our model as a realtime clinical/diagnostic tool.
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94% (16/17) of predictions from LN or distant mets matched the pt’s primary tumor tissue of origin.
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Across 193 solid tumor samples from 15 tissues, a neural network model predicted overall tissue of origin with sensitivity/specificity of 0.86/0.88. Accuracy of predictions with >95% probability was 97% (34/35)!.
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Excited to share our work at the @AMPath 2024 Annual Meeting in Vancouver! Our DH-CancerSeq team @DHMC_CGAT implemented a proof-of-principle solid tumor tissue of origin classifier using realtime clinical whole-transcriptome sequencing data all generated in-house @DartmouthCancer
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Group effort alongside @GeiselMed M2s Colin McNamara + Alexys Gayne, thanks to Dr. Nirav Kapadia for your mentorship and @DHMC_RadOnc for your support!.
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Hoping this will be a great resource for students - a bit late for this rotation season, but see updated list hosted by @roecsg for next year! If you run a funded rotation and we haven't listed, please get in touch.
roecsg.org
Last Updated: 6/2024 *If you have updates or would like to add a new funded program listed please contact Drew Bergman ([email protected]) StateProgramStipendArizonaUniversity of Arizona …
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Proud to share our work compiling the landscape of funded #RadOnc away rotations for medical students! Pls RT to spread the word to help out budding #RadOncs!.
link.springer.com
Journal of Cancer Education - Visiting electives provide an opportunity for medical students to engage with radiation oncology (RO) programs, likely influencing residency match outcomes. However,...
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RT @AnthonyAlanis01: I am thrilled to be presenting the educational impact of the RadOnc Student Scan Newsletter at @ASTRO_org 2024! 🎉. Tha….
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RT @Applied_RadOnc: 📢 All new Student Scan out now! .Check out hot topics in #RadiationOncology, an interview with @JillGunther MD, PhD, op….
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Grateful to be joining @MSK_RadOnc via an intern year pit stop @newtonwellesley! Thank you to my mentors @DHMC_RadOnc! @AlexaRiobueno and I are so excited for NYC!.
🥳🙌Happy #Match2024! We are overjoyed to announce our incoming #radonc class of 2029. We are excited for Drs @ASabbagh95 @RadQian @dtbergman @Mitch_P @meghatron2016 and Nathan Leclair to join us in New York City @MSKCancerCenter. 🏙️☢️
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RT @jengreitz: Our latest in @Nature:. Convergence of coronary artery disease genes on endothelial cell programs. .
nature.com
Nature - Variant-to-gene-to-program is a new approach to building maps of genome function to link risk variants to disease genes and to convergent signalling pathways in an unbiased manner; its...
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RT @Dr_RajatGupta: Our study is out @Nature. We identify non-lipid risk pathways for coronary artery disease using pooled CRISPR-interferen….
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RT @WJGreenleaf: Our work using single-molecule chromatin configurations to link TF binding to gene expression is now out on bioRxiv! Amazi….
biorxiv.org
The binding of multiple transcription factors (TFs) to genomic enhancers activates gene expression in mammalian cells. However, the molecular details that link enhancer sequence to TF binding,...
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RT @sudpinglay: Structural variants (SV) impact more nucleotides per human genome than other forms of genetic variation. To better unders….
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Great to work on this team to share our passion for #radonc, pls share with interested students! @Applied_RadOnc.
Check out the latest issue of the ARO Student Scan E-Newsletter! 🚨. Edited by me, @William_Tyree13, @AseemPanghal, @dtbergman, Alexys Gayne, & Colin McNamara.
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