Simona Cristea Profile picture
Oct 21 13 tweets 5 min read
Today's amazing science dives deep into the 2 strongest #cancer modulators: evolution & immune defense.

First-ever detailed temporal evolutionary trajectories for 600,000 B cell lymphoma immune cells #scRNAseq & #scTCRSeq of 32 patients during immunotherapy with 2 CAR-T drugs 🧵 Image
First, what is chimeric antigen receptor (CAR) T cell therapy?

It is an immunotherapy in which the patient's own immune cells are genetically engineered ex-vivo to recognize, attack & kill tumor cells. Then they are infused back into the patient, ready to fight the enemy!🤺 2/13
Immunotherapies have revolutionized cancer treatment & are among the most promising future approaches.

However: response rates, even if varying across cancers, remain limited, with e.g. 50% response in lymphomas.

Why such therapies fail for the other half remains a mystery 3/13
This study analyzed 32 large B cell lymphoma patients treated with 2 CAR-T drugs: axicabtagene ciloleucel (axi-cel) & tisagenlecleucel (tisa-cel). During the 6 months of the study, each patient was sampled before, during & after therapy. At the end, half of patients relapsed 4/13 Image
By analyzing the differences between how the CAR-T infused product (IP) interacted with the patient's own immune cells 7 days post therapy (D7) in patients who responded vs. who didn't, one can chart mechanisms by which the immune system succeeds or fails in curing cancers. 5/13
The main finding is that these 2 commonly used drugs have strikingly different effects on the immune system: tisa-cel responses were associated with huge expansion of rare CD8+ central-memory-like cells that were infused, whereas axi-cel treatment showed less Tcell shifting 6/13 Image
Even more: axi-cell nonresponders had strong enrichment in CAR-T regulatory cells (T regulatory cells with a CAR transcript attached).

Since baseline levels of Tregs were similar for patients in both treatments, this enrichment was not due to pre-existing differences. 7/13 Image
Why is this?Both drugs are commonly used & similar in purpose.

However: they have different designs & manufacturing processes & are delivered by different vectors.

The authors hypothesize that starting manufacturing from fresh (axi) vs frozen (tisa) cells might play a role 8/13
Therefore: cryopreservation might imply strong depletion of Tregs, which are intolerant of freezing.

This hypothesis is interesting & has far-reaching potential implications for understanding the success/failure of different immunotherapies across other cancer types as well 9/13
Next, in a beautiful controlled in-vivo experiments, the authors prove‼️ the causality of how these newly evolved T regulatory cells suppress the expansion of the “good” infused T cells & facilitate CART relapse.

This is a first in showing that Tregs influence CART relapse 10/13
How is this done?

Mice were engrafted with lymphoma cells followed by injection of CAR-T cells 7 days later, made of 95% CAR-Tconv with either 5% CAR-CD4,or 5% CAR-Tregs.

All tumors were cleared by day3

But then: all CAR-Treg mice relapsed,while none of the control ones did🤯 Image
How impressive 😲

CAR-Treg cells making up only 5% of total infused CAR-T cells were sufficient to drive tumor relapses and suppress CAR-Tconv expansion.

Such science is amazing because it shows mechanistic routes of relapse in one of the most promising cancer therapies. 12/13
Such data can further be mined to gain hidden insights via e.g. ML models comparing responders vs. nonresponders.

To download data:
ncbi.nlm.nih.gov/geo/query/acc.…

Jupyer notebooks:
github.com/getzlab/Haradh…

Paper by the labs of M. Maus, Cathy Wu & @getz_lab 🙏:
nature.com/articles/s4159…

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More from @simocristea

Oct 12
Valuable #immunology cell atlas: #scRNAseq + paired B & T cell receptor seq for 330,000 tissue-resident immune cells across 16 human tissues.

CellTypist: new & robust immune cells annotation algorithm, finding 101 immune cell types in 1,000,000 cells‼️

Why this is important👇🧵
Assessing cell types in healthy human tissues is hard. That's why most human immune studies so far profiled immune cells circulating in the blood.

But we know that the multitude of immune cells residing in tissues play distinct roles in development & disease than blood cells 2/7
This study is the first to characterize in depth the single cell expression landscape of the immune system as an integrated cross-tissue machinery.

The resulting cell-level complexity is disentangled with CellTypist, a newly-introduced logistic regression-based framework. 3/7
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