Bobby Bentham
@rbentham.bsky.social
49 followers 73 following 10 posts
Senior Bioinformatician @ LifeArc
Posts Media Videos Starter Packs
rbentham.bsky.social
Thanks! It’s all of Genomics England >90k WGS samples but only ~15k of which are from tumours
Reposted by Bobby Bentham
erictopol.bsky.social
Using whole genome sequencing to derive circulating T cell fraction, an immune system metric that has prognostic importance for cancer. And B cell fraction for risk of cancer.
www.nature.com/articles/s41...
rbentham.bsky.social
And a final thanks to our funders without which none of this work would have been possible: @cancerresearchuk.org, @wellcometrust.bsky.social and Rosetrees as well as most importantly all the patients & participants.
rbentham.bsky.social
A huge thanks to my co-authors, especially my PI Prof. Nicholas McGranahan for guiding all of this and @charlesswanton.bsky.social who gave his support throughout. Thanks also to @genomicsengland.bsky.social , @cruk-cityoflondon.bsky.social , UCL Cancer Institute, and @crick.ac.uk
rbentham.bsky.social
Finally, we directly compared the prognostic value of circulating vs. tumour infiltrating T cells in cancer patients
🔹 Circulating T cells were more prognostic than infiltrating
🔹 Circulating B cells were also prognostic, but only non-class-switched IgM/D B cells contributed to this signal.
rbentham.bsky.social
ImmuneLENS also enables the study of tumour microenvironment and cancer evolution.
🧬 In the 100KGP cohort we identified driver mutations enriched in T cell–replete tumours vs. T cell–depleted tumours, suggesting that different cancer drivers may have immune-suppressive or immune-evasive roles.
rbentham.bsky.social
In blood samples, ImmuneLENS scores reflect circulating T cell fractions, a proxy for the neutrophil-to-lymphocyte ratio.
🔹 In cancer patients, circulating T cell fractions were significantly lower than in healthy individuals.
🔹 We also observed notable sex-based differences.
rbentham.bsky.social
We applied ImmuneLENS to the 100,000 Genomes Project (100KGP) from Genomics England —a WGS cohort lacking orthogonal immune data—creating an important new resource for researchers.

🚨 Now, you can investigate immune content in this or any other WGS dataset!
rbentham.bsky.social
ImmuneLENS follows the same principles but improves the model to better reflect V(D)J recombination, leveraging the uniform coverage of WGS, it:
✅ Measures T and B cell fractions
✅ Detects class switching in B cells
✅ Predicts V and J segment usage
📢 Now Available: github.com/McGranahanLa...