Albrecht Stenzinger

ORCID: 0000-0003-1001-103X
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About
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Research Areas
  • Cancer Genomics and Diagnostics
  • Lung Cancer Treatments and Mutations
  • Colorectal Cancer Treatments and Studies
  • Lung Cancer Diagnosis and Treatment
  • Head and Neck Cancer Studies
  • Genetic factors in colorectal cancer
  • Cancer Immunotherapy and Biomarkers
  • Pancreatic and Hepatic Oncology Research
  • Cancer-related molecular mechanisms research
  • Lung Cancer Research Studies
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Chronic Lymphocytic Leukemia Research
  • Prostate Cancer Treatment and Research
  • Radiomics and Machine Learning in Medical Imaging
  • PARP inhibition in cancer therapy
  • RNA modifications and cancer
  • Prostate Cancer Diagnosis and Treatment
  • Cancer Diagnosis and Treatment
  • Neuroendocrine Tumor Research Advances
  • Epigenetics and DNA Methylation
  • BRCA gene mutations in cancer
  • Sarcoma Diagnosis and Treatment
  • Chromatin Remodeling and Cancer
  • Cancer Mechanisms and Therapy
  • Advanced Breast Cancer Therapies

University Hospital Heidelberg
2016-2025

Heidelberg University
2016-2025

Deutschen Konsortium für Translationale Krebsforschung
2016-2025

German Center for Lung Research
2018-2025

German Cancer Research Center
2016-2025

National Center for Tumor Diseases
2014-2024

Chirurgische Universitätsklinik Heidelberg
2019-2024

Heidelberg University
2012-2023

Metropolitan University
2023

Bar-Ilan University
2022

Purpose Our aim was to analyze and validate the prognostic impact of novel International Association for Study Lung Cancer (IASLC)/American Thoracic Society (ATS)/European Respiratory (ERS) proposal an architectural classification invasive pulmonary adenocarcinomas (ADCs) across all tumor stages. Patients Methods The pattern a large cohort 500 patients with resected ADCs (stages I IV) retrospectively analyzed in 5% increments classified according their predominant architecture (lepidic,...

10.1200/jco.2011.37.2185 article EN Journal of Clinical Oncology 2012-03-06

Tumor mutational burden (TMB), defined as the number of somatic mutations per megabase interrogated genomic sequence, varies across malignancies. Panel sequencing-based estimates TMB have largely replaced whole-exome sequencing-derived in clinic. Retrospective evidence suggests that can predict efficacy immune checkpoint inhibitors, and data from KEYNOTE-158 led to recent FDA approval pembrolizumab for TMB-high tumor subgroup. Unmet needs include prospective validation cutoffs relationship...

10.1158/2159-8290.cd-20-0522 article EN Cancer Discovery 2020-11-03

Infection-related diabetes can arise as a result of virus-associated β-cell destruction. Clinical data suggest that the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing disease 2019 (COVID-19), impairs glucose homoeostasis, but experimental evidence SARS-CoV-2 infect pancreatic tissue has been lacking. In present study, we show infects cells human exocrine and endocrine pancreas ex vivo in vivo. We demonstrate β-cells express viral entry proteins, replicates cultured...

10.1038/s42255-021-00347-1 article EN other-oa Nature Metabolism 2021-02-03

Background Tumor mutational burden (TMB), defined as the number of somatic mutations per megabase interrogated genomic sequence, demonstrates predictive biomarker potential for identification patients with cancer most likely to respond immune checkpoint inhibitors. TMB is optimally calculated by whole exome sequencing (WES), but next-generation targeted panels provide estimates in a time-effective and cost-effective manner. However, differences panel size gene coverage, addition underlying...

10.1136/jitc-2019-000147 article EN cc-by-nc Journal for ImmunoTherapy of Cancer 2020-03-01
Christian Koelsche Daniel Schrimpf Damian Stichel Martin Sill Felix Sahm and 95 more David Reuß Mirjam Blattner Barbara C. Worst Christoph E. Heilig Katja Beck Peter Horak Simon Kreutzfeldt Elke Paff Sebastian Stark Pascal D. Johann Florian Selt Jonas Ecker Dominik Sturm Kristian W. Pajtler Annekathrin Reinhardt Annika K. Wefers Philipp Sievers Azadeh Ebrahimi Abigail K. Suwala Francisco Fernández‐Klett Belén Casalini Andrey Korshunov Volker Hovestadt F. Kommoss Mark Kriegsmann Matthias Schick Melanie Bewerunge‐Hudler Till Milde Olaf Witt Andreas E. Kulozik Marcel Kool Laura Romero‐Pérez Thomas G. P. Grünewald Thomas Kirchner Wolfgang Wick Michael Platten Andreas Unterberg Matthias Uhl Amir Abdollahi Jürgen Debus Burkhard Lehner Christian Thomas Martin Hasselblatt Werner Paulus Christian Hartmann Ori Staszewski Marco Prinz Jürgen Hench Stephan Frank Yvonne M.H. Versleijen‐Jonkers Marije E. Weidema Thomas Mentzel Klaus Griewank Enrique de Álava Juan Díaz‐Martín Miguel Á. Idoate Kenneth Tou En Chang Sharon Y. Y. Low Adrián Cuevas-Bourdier Michel Mittelbronn Martin Mynarek Stefan Rutkowski Ulrich Schüller Viktor Mautner Jens Schittenhelm Jonathan Serrano Matija Snuderl Reinhard Büttner Thomas Klingebiel Rolf Buslei Manfred Gessler Pieter Wesseling Winand N.M. Dinjens Sebastian Brandner Zane Jaunmuktane Iben Lyskjær Peter Schirmacher Albrecht Stenzinger Benedikt Brors Hanno Glimm Christoph Heining Òscar M. Tirado Miguel Sáinz‐Jaspeado Jaume Mora Javier Alonso Xavier García del Muro Sebastián Moran Manel Esteller Jamal Benhamida Marc Ladanyi Eva Wardelmann Cristina R. Antonescu Adrienne M. Flanagan Uta Dirksen Peter Hohenberger

Abstract Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents children. They represent a morphologically heterogeneous class of some entities lack defining histopathological features. Therefore, the diagnosis sarcomas is burdened with high inter-observer variability misclassification rate. Here, we demonstrate classification using machine learning classifier algorithm based on array-generated DNA methylation data. This sarcoma trained dataset 1077 profiles from...

10.1038/s41467-020-20603-4 article EN cc-by Nature Communications 2021-01-21

The identification of gene fusions from RNA sequencing data is a routine task in cancer research and precision oncology. However, despite the availability many computational tools, fusion detection remains challenging. Existing methods suffer poor prediction accuracy are computationally demanding. We developed Arriba, novel algorithm with high sensitivity short runtime. When applied to large collection published pancreatic samples ( n = 803), Arriba identified variety driver fusions, which...

10.1101/gr.257246.119 article EN cc-by-nc Genome Research 2021-01-13

// Jan Budczies 1,2,6,* , Moritz von Winterfeld 1,* Frederick Klauschen 1 Michael Bockmayr Jochen K. Lennerz 3 Carsten Denkert 1,6 Thomas Wolf 4,6 Arne Warth 4 Manfred Dietel Ioannis Anagnostopoulos Wilko Weichert 4,6,7 Daniel Wittschieber 5 and Albrecht Stenzinger Institute of Pathology, Charité University Hospital, Berlin, Germany 2 German Cancer Research Center (DKFZ), Heidelberg, Massachusetts General Hospital/Harvard Medical School, Department Boston, MA, USA Hospital Legal...

10.18632/oncotarget.2677 article EN Oncotarget 2014-11-04

Background Men suspected of having clinically significant prostate cancer (sPC) increasingly undergo MRI. The potential deep learning to provide diagnostic support for human interpretation requires further evaluation. Purpose To compare the performance clinical assessment a system optimized segmentation trained with T2-weighted and diffusion MRI in task detection lesions suspicious sPC. Materials Methods In this retrospective study, sequences from consecutive men examined single 3.0-T...

10.1148/radiol.2019190938 article EN Radiology 2019-10-08

Leiomyosarcoma (LMS) is an aggressive mesenchymal malignancy with few therapeutic options. The mechanisms underlying LMS development, including clinically actionable genetic vulnerabilities, are largely unknown. Here we show, using whole-exome and transcriptome sequencing, that tumors characterized by substantial mutational heterogeneity, near-universal inactivation of TP53 RB1, widespread DNA copy number alterations chromothripsis, frequent whole-genome duplication. Furthermore, detect...

10.1038/s41467-017-02602-0 article EN cc-by Nature Communications 2018-01-04

Biliary tract cancers (BTC) are relatively rare malignant tumours with poor prognosis. It is known from other solid neoplasms that antitumour inflammatory response has an impact on tumour behaviour and patient outcome. The aim of this study was to provide a comprehensive characterisation in human BTC. Tumour-infiltrating T lymphocytes (CD4+, CD8+, Foxp3+), natural killer cells (perforin+), B (CD20+), macrophages (CD68+) as well mast (CD117+) were assessed by immunohistochemistry 375 BTC...

10.1038/bjc.2013.610 article EN cc-by-nc-sa British Journal of Cancer 2013-10-17

Automated image analysis of cells and tissues has been an active research field in medical informatics for decades but recently attracted increased attention due to developments computer microscopy hardware the awareness that scientific diagnostic pathology require novel approaches perform objective quantitative analyses cellular tissue specimens. Model-based use a priori information on cell shape features obtain segmentation, which may introduce bias favouring detection nuclei only with...

10.1038/srep00503 article EN cc-by-nc-sa Scientific Reports 2012-07-11

Abstract We used whole-genome and transcriptome sequencing to identify clinically actionable genomic alterations in young adults with pancreatic ductal adenocarcinoma (PDAC). Molecular characterization of 17 patients PDAC enrolled a precision oncology program revealed gene fusions amenable pharmacologic inhibition by small-molecule tyrosine kinase inhibitors all KRAS wild-type (KRASWT) tumors (4 17). These included recurrent NRG1 rearrangements predicted drive development through aberrant...

10.1158/2159-8290.cd-18-0036 article EN Cancer Discovery 2018-05-25

Method16 January 2020Open Access Source DataTransparent process Automated sample preparation with SP3 for low-input clinical proteomics Torsten Müller German Cancer Research Center (DKFZ), Heidelberg, Germany Medical Faculty, Heidelberg University, Search more papers by this author Mathias Kalxdorf EMBL, Rémi Longuespée Department of Clinical Pharmacology and Pharmacoepidemiology, Daniel N Kazdal orcid.org/0000-0001-8187-3281 Institute Pathology, Albrecht Stenzinger Jeroen Krijgsveld...

10.15252/msb.20199111 article EN cc-by Molecular Systems Biology 2020-01-01

Abstract The clinical relevance of comprehensive molecular analysis in rare cancers is not established. We analyzed the profiles and outcomes 1,310 patients (rare cancers, 75.5%) enrolled a prospective observational study by German Cancer Consortium that applies whole-genome/exome RNA sequencing to inform care adults with incurable cancers. On basis 472 single six composite biomarkers, cross-institutional tumor board provided evidence-based management recommendations, including diagnostic...

10.1158/2159-8290.cd-21-0126 article EN Cancer Discovery 2021-06-10

Lynch syndrome is caused by germline mutations of DNA mismatch repair (MMR) genes. MMR deficiency has long been regarded as a secondary event in the pathogenesis colorectal cancers. Recently, this concept challenged discovery MMR‐deficient crypt foci normal mucosa. We aimed to reconstruct carcinogenesis collecting molecular and histology evidence from adenomas carcinomas. determined frequency mutation carriers immunohistochemistry systematic literature analysis. To trace back pathways...

10.1002/ijc.31300 article EN International Journal of Cancer 2018-02-09
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