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Markus Eckstein @Markuseckstein3

#Pathologist #Physician Scientist @UniFAU University Hospital Erlangen, Germany #pathology #biomarker_research - My opinions are my own pathologie.uk-erlangen.de Erlangen, Germany Joined July 2017
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Markus Eckstein retweeted
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Niklas Klümper @niklas_kluemper

5 days ago

Retrospective Study of 1L EV+P in mUC (n=71) shows that UC with squamous histology rarely responds to EV+P! <50% squamous/glandular: ORR 16.6% >50% squamous/glandular: ORR 0%! ➡️ UC with divergent squamous differentiation occurs frequently (app. 20-30% of all UCs); often…

Markus Eckstein retweeted
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Enrique Grande @drenriquegrande

a week ago

⚡️ On @NatureComms - Modulating the PPARγ pathway upregulates NECTIN4 and enhances chimeric antigen receptor (CAR) T cell therapy in bladder cancer #BladderCancer #Immunotheraopy nature.com/articles/s4146…

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Markus Eckstein @Markuseckstein3

4 weeks ago

Landmark study demonstrating the huge potential of the TAR device!! Congratulations to @AndreaNecchi and the whole team behind this important effort! Really excited to see which drugs will be formulated in the pretzel 🥨!

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Andrea Necchi @AndreaNecchi

4 weeks ago

Landmark study demonstrating the huge potential of the TAR device!! Congratulations to @AndreaNecchi and the whole team behind this important effort! Really excited to see which drugs will be formulated in the pretzel 🥨!

Markus Eckstein retweeted
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Niklas Klümper @niklas_kluemper

a month ago

NECTIN4 amplification predicts anti-Nectin4 therapy response! 🎯 NECTIN4 amp predicts: - Enfortumab vedotin response in mUC @JCO_ASCO @ASCO ascopubs.org/doi/full/10.12… & Zelenectide pevedotin (Bicycle-Drug Conjugate) response in TNBC @SABCSSanAntonio + NSCLC-> now being tested in…

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DAVA Oncology @DAVAOnc

a month ago

NECTIN4 amplification predicts anti-Nectin4 therapy response! 🎯 NECTIN4 amp predicts: - Enfortumab vedotin response in mUC @JCO_ASCO @ASCO ascopubs.org/doi/full/10.12… & Zelenectide pevedotin (Bicycle-Drug Conjugate) response in TNBC @SABCSSanAntonio + NSCLC-> now being tested in…

Markus Eckstein retweeted
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DAVA Oncology @DAVAOnc

a month ago

BT8009 in #TNBC! Dr. Jordi Rodon (@MDAndersonNews) shares Phase I data; ORR 63% in NECTIN4-amplified breast cancer (5/8) vs 14% overall, 57% in NECTIN4-amplified TNBC (4/7) with 100% DCR. Bicycle-based ADC shows biomarker-linked activity. #BreastCancer #DAVABreast

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Markus Eckstein @Markuseckstein3

a month ago

IMvigor011 preparing the floor for ctDNA guided adjuvant therapy escalation and more importantly deescalation. Fascinating study inspired by TOMBOLA designed many years ago by the father of ctDNA in bladder cancer @LDyrskjot and Jørgen Jensen from Aarhus…

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Toni Choueiri, MD @DrChoueiri

a month ago

IMvigor011 preparing the floor for ctDNA guided adjuvant therapy escalation and more importantly deescalation. Fascinating study inspired by TOMBOLA designed many years ago by the father of ctDNA in bladder cancer @LDyrskjot and Jørgen Jensen from Aarhus…

Markus Eckstein retweeted
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Markus Eckstein @Markuseckstein3

2 months ago

🚀 Another important piece of AI research from @fau together with Andreas Kist and Toni Gostian. Three years of hard work led to an open #multimodal dataset for #PrecisionOncology in #HeadAndNeckCancer (#HNSCC): HANCOCK (n=763) spans histology images, immune cell data, clinical…

Markus Eckstein retweeted
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Toni Choueiri, MD @DrChoueiri

a month ago

JUST IN: IMvigor011 in muscle-invasive bladder cancer (MIBC) hits both DFS & OS with PD-L1 inhibitor Atezolizumab in ctDNA+ population. Major news for Precision Oncology in adjuvant Solid Cancers! @NateraGenetics @tompowles1 @Roche natera.com/company/news/i…

Markus Eckstein retweeted
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Emanuele Crupi @emanuele_crupi

a month ago

Our @NatRevUrol review on #HER2 in #UC covering biology, testing, therapeutic advances and future directions. A true collaborative effort that made this possible @DanieleRaggi83 @Pederfizzo @AndreaNecchi @MattGalsky #biomarker @BladderCancerUS doi.org/10.1038/s41585…

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OncoDaily @oncodaily

2 months ago

@brookmans76 @Markuseckstein3 @NatureComms We would like to inform you that your post has been published on OncoDaily. Thank you for sharing. oncodaily.com/voices/sabine-…

Markus Eckstein retweeted
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Niklas Klümper @niklas_kluemper

2 months ago

Another great example of true precision oncology for NSCLC! Genomic biomarkers are key for targeted therapies in this disease We need more of such biology-driven therapy concepts for GU oncology @OncoAlert @weoncologists @urotoday @Markuseckstein3 @ViktorGruenwald @montypal…

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Dr Amol Akhade @SuyogCancer

2 months ago

Another great example of true precision oncology for NSCLC! Genomic biomarkers are key for targeted therapies in this disease We need more of such biology-driven therapy concepts for GU oncology @OncoAlert @weoncologists @urotoday @Markuseckstein3 @ViktorGruenwald @montypal…

Markus Eckstein retweeted
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Sabine D. Brookman-May @brookmans76

2 months ago

Great AI research in head+neck cancer Plus beyond that a potential major source for researching #multimodal machine-learning methodologies in precision oncology @Markuseckstein3 #PrecisionMedicine #AI #Oncology #MachineLearning @NatureComms @oncodaily 👉 nature.com/articles/s4146…

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Markus Eckstein @Markuseckstein3

2 months ago

Great AI research in head+neck cancer Plus beyond that a potential major source for researching #multimodal machine-learning methodologies in precision oncology @Markuseckstein3 #PrecisionMedicine #AI #Oncology #MachineLearning @NatureComms @oncodaily 👉 nature.com/articles/s4146… https://t.co/jh3GqLJ9nL

Markus Eckstein retweeted
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Markus Eckstein @Markuseckstein3

2 months ago

✅ Data: hancock.research.fau.eu (to be mirrored on TCIA) ✅ Code (Apache-2.0): github.com/ankilab/HANCOC… Build & benchmark your multimodal models today. Tag your work! #ReproducibleResearch #TCIA #FAU #NatureComms

Markus Eckstein retweeted
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Markus Eckstein @Markuseckstein3

2 months ago

Cohort mirrors clinical reality: 80% male, 72% current/former smokers, median age 61; 5-year OS = 77.3% in this dataset. Rich event & treatment data support robust benchmarking. #Oncology #Epidemiology #ClinicalAI

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