Lorenz Bastian

AML - outcome

ALL incidence

Finally out📯: 1st population-level picture of AML+ALL incidence & outcomes across all age groups in Germany! My colleague David Baden took the long tour to aggregate this data:
doi.org/10.1016/j.la... - Will be intro Figurę 1 to many presentations, David!🙏

20.10.2025 22:23 — 👍 2    🔁 0    💬 0    📌 0

Picture of Kiel University

1/4 🌍 We are looking for a passionate #PhD student in #Metabolic #Microbiome #Modeling in the Marie Skłodowska-Curie Doctoral Network MenoBrain. Join us at one of Europe’s microbiome research hubs and push the boundaries of microbiome science! @uni-kiel.de
🔗 www.uniklinikum-jena.de/menobrain/en...

09.10.2025 07:04 — 👍 10    🔁 9    💬 1    📌 3

Big shoutout to the whole group who made #IntegrateALL possible - especially @alinamh.bsky.social, Thomas Beder and Claudia Baldus at www.catchall-kfo5010.com

28.09.2025 08:36 — 👍 2    🔁 2    💬 0    📌 0

CATCH ALL KFO 5010 Within the new Clinical Research Unit (CRU) “CATCH ALL – towards a cure for all adults and children with Acute Lymphoblastic Leukemia (ALL)”, funded by the German Research Foundation (DFG)…

Big shoutout to the whole group who made #IntegrateALL possible - especially @alinamh.bsky.social, Thomas Beder and Claudia Baldus at www.catchall-kfo5010.com

28.09.2025 08:34 — 👍 1    🔁 0    💬 0    📌 0

IntegrateALL: an end-to-end RNA-seq analysis pipeline for multilevel data extraction and interpretable subtype classification in B-precursor ALL https://www.biorxiv.org/content/10.1101/2025.09.25.673987v1

28.09.2025 03:49 — 👍 2    🔁 1    💬 0    📌 0

GitHub - NadineWolgast/IntegrateALL: Snakemake diagnostic Pipline for B-ALL classification Snakemake diagnostic Pipline for B-ALL classification - NadineWolgast/IntegrateALL

🔗 Get the pipeline here:
github.com/NadineWolgas...
We welcome your feedback, issues & pull requests — and are happy to help you get started!🚀
#OpenSource #Bioinformatics #AcuteLymphoblasticLeukemia

28.09.2025 08:23 — 👍 4    🔁 0    💬 1    📌 1

In n=31/1210 B-ALL cases (2.6%), #IntegrateALL identified drivers from two different subtypes in one sample! One gene expression signature dominated in most cases, supporting unsupervised screening for drivers.

28.09.2025 08:23 — 👍 1    🔁 0    💬 1    📌 0

Analysis with our ICC/WHO-HAEM5 based rule-set yielded ~80% unambiguous subtype definitions based on driver calls and corresponding gene expression signatures, which was validated across independent cohorts. - Many thanks to collaborators @ www.mll.com!

28.09.2025 08:23 — 👍 0    🔁 0    💬 1    📌 0

With #IntegrateALL, we extract from RNA-seq:

- Expression counts
- B-ALL subtypes via #ALLCatchR
- Driver gene fusions
- SNVs
- Virtual karyotypes

For classifying #RNASeqCNV B-ALL karyotypes, we built #KaryALL, a machine-learning classifier reaching 0.98 accuracy!

28.09.2025 08:23 — 👍 0    🔁 0    💬 1    📌 0

Excited to share our preprint📯:
We introduce #IntegrateALL, an open-source RNA-seq pipeline for interpretable molecular diagnostics in acute lymphoblastic leukemia!🧬
Big thanks to Nadine Wolgast & team @ www.uksh.de
, catchall-kfo5010.com!
See: doi.org/p7k5 and 🧵

28.09.2025 08:23 — 👍 3    🔁 1    💬 1    📌 0

Finally some larger perspective after a long day on call… 🚀

07.08.2025 15:21 — 👍 1    🔁 0    💬 0    📌 0

What determines Inotuzumab sensitivity in #ALL?
New @bloodjournal.bsky.social study from C. Escherich &
@junjyang.bsky.social Lab highlights the role of B cell developmental state and EBF1. It was a pleasure to provide a commentary!
🔬 doi.org/10.1182/bloo...
🗒️ doi.org/10.1182/bloo...

24.07.2025 21:09 — 👍 3    🔁 0    💬 0    📌 1

@Hemasphere_EHA acknowledged our ALLCatchR paper on machine learning based subtype classification in ALL as highly influential publication! 💥So happy and grateful! Big kudos to Thomas and our team at 👉catchall-kfo5010.com #EHA2025

20.06.2025 20:25 — 👍 4    🔁 0    💬 1    📌 0

So true!!

15.04.2025 18:47 — 👍 2    🔁 0    💬 0    📌 0