Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients.


Journal

NPJ precision oncology
ISSN: 2397-768X
Titre abrégé: NPJ Precis Oncol
Pays: England
ID NLM: 101708166

Informations de publication

Date de publication:
20 Oct 2023
Historique:
received: 03 04 2023
accepted: 26 09 2023
medline: 21 10 2023
pubmed: 21 10 2023
entrez: 20 10 2023
Statut: epublish

Résumé

A growing number of druggable targets and national initiatives for precision oncology necessitate broad genomic profiling for many cancer patients. Whole exome sequencing (WES) offers unbiased analysis of the entire coding sequence, segmentation-based detection of copy number alterations (CNAs), and accurate determination of complex biomarkers including tumor mutational burden (TMB), homologous recombination repair deficiency (HRD), and microsatellite instability (MSI). To assess the inter-institution variability of clinical WES, we performed a comparative pilot study between German Centers of Personalized Medicine (ZPMs) from five participating institutions. Tumor and matched normal DNA from 30 patients were analyzed using custom sequencing protocols and bioinformatic pipelines. Calling of somatic variants was highly concordant with a positive percentage agreement (PPA) between 91 and 95% and a positive predictive value (PPV) between 82 and 95% compared with a three-institution consensus and full agreement for 16 of 17 druggable targets. Explanations for deviations included low VAF or coverage, differing annotations, and different filter protocols. CNAs showed overall agreement in 76% for the genomic sequence with high wet-lab variability. Complex biomarkers correlated strongly between institutions (HRD: 0.79-1, TMB: 0.97-0.99) and all institutions agreed on microsatellite instability. This study will contribute to the development of quality control frameworks for comprehensive genomic profiling and sheds light onto parameters that require stringent standardization.

Identifiants

pubmed: 37864096
doi: 10.1038/s41698-023-00457-x
pii: 10.1038/s41698-023-00457-x
pmc: PMC10589320
doi:

Types de publication

Journal Article

Langues

eng

Pagination

106

Informations de copyright

© 2023. Nature Publishing Group UK.

Références

Mateo, J. et al. Delivering precision oncology to patients with cancer. Nat. Med. 28, 658–665 (2022).
pubmed: 35440717
Tsimberidou, A. M., Fountzilas, E., Nikanjam, M. & Kurzrock, R. Review of precision cancer medicine: Evolution of the treatment paradigm. Cancer Treat. Rev. 86, 102019 (2020).
pubmed: 32251926 pmcid: 7272286
Koboldt, D. C. Best practices for variant calling in clinical sequencing. Genome Med. 12, 91 (2020).
pubmed: 33106175 pmcid: 7586657
Mosele, F. et al. Recommendations for the use of next-generation sequencing (NGS) for patients with metastatic cancers: a report from the ESMO Precision Medicine Working Group. Ann. Oncol. 31, 1491–1505 (2020).
pubmed: 32853681
Jennings, L. J. et al. Guidelines for Validation of Next-Generation Sequencing–Based Oncology Panels: A Joint Consensus Recommendation of the Association for Molecular Pathology and College of American Pathologists. J. Mol. Diagn. 19, 341–365 (2017).
pubmed: 28341590
Bewicke-Copley, F., Kumar, E. A., Palladino, G., Korfi, K. & Wang, J. Applications and analysis of targeted genomic sequencing in cancer studies. Comput. Struct. Biotechnol. J. 17, 1348 (2019).
pubmed: 31762958 pmcid: 6861594
Robinson, D. R. et al. Integrative clinical genomics of metastatic cancer. Nature 548, 297–303 (2017).
pubmed: 28783718 pmcid: 5995337
Priestley, P. et al. Pan-cancer whole-genome analyses of metastatic solid tumours. Nature 575, 210–216 (2019).
pubmed: 31645765 pmcid: 6872491
Horak, P. et al. Comprehensive genomic and transcriptomic analysis for guiding therapeutic decisions in patients with rare cancers. Cancer Discov. 11, 2780–2795 (2021).
pubmed: 34112699
Schipper, L. J. et al. Clinical impact of prospective whole genome sequencing in sarcoma patients. Cancers 14, 436 (2022).
pubmed: 35053600 pmcid: 8773512
Schipper, L. J. et al. Complete genomic characterization in patients with cancer of unknown primary origin in routine diagnostics. ESMO Open 7, 100611 (2022).
pubmed: 36463731 pmcid: 9808446
Samsom, K. G. et al. Feasibility of whole-genome sequencing-based tumor diagnostics in routine pathology practice. J. Pathol. 258, 179–188 (2022).
pubmed: 35792649 pmcid: 9546477
Hoes, L. R. et al. Patients with Rare Cancers in the Drug Rediscovery Protocol (DRUP) Benefit from Genomics-Guided Treatment. Clin. Cancer Res. 28, 1402–1411 (2022).
pubmed: 35046062 pmcid: 9365364
Van Allen, E. M. et al. Whole-exome sequencing and clinical interpretation of formalin-fixed, paraffin-embedded tumor samples to guide precision cancer medicine. Nat. Med. 20, 682–688 (2014).
pubmed: 24836576 pmcid: 4048335
Niguidula, N. et al. Clinical whole-exome sequencing results impact medical management. Mol. Genet. Genom. Med. 6, 1068–1078 (2018).
Dotolo, S. et al. Bioinformatics: From NGS Data to Biological Complexity in Variant Detection and Oncological Clinical Practice. Biomedicines 10, 2074 (2022).
pubmed: 36140175 pmcid: 9495893
Chan, T. A. et al. Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic. Ann. Oncol. J. Eur. Soc. Med. Oncol. 30, 44–56 (2019).
Rempel, E. et al. Pan-cancer analysis of genomic scar patterns caused by homologous repair deficiency (HRD). npj Precis. Oncol. 6, 1–13 (2022).
Yu, F., Makrigiorgos, A., Leong, K. W. & Makrigiorgos, G. M. Sensitive detection of microsatellite instability in tissues and liquid biopsies: Recent developments and updates. Comput. Struct. Biotechnol. J. 19, 4931–4940 (2021).
pubmed: 34527197 pmcid: 8433064
Ramarao-Milne, P. et al. Comparison of actionable events detected in cancer genomes by whole-genome sequencing, in silico whole-exome and mutation panels. ESMO Open 7, 100540 (2022).
pubmed: 35849877 pmcid: 9463385
Auzanneau, C. et al. Feasibility of high-throughput sequencing in clinical routine cancer care: lessons from the cancer pilot project of the France Genomic Medicine 2025 plan. ESMO Open 5, e000744 (2020).
pubmed: 32713836 pmcid: 7383956
Massard, C. et al. High-throughput genomics and clinical outcome in hard-to-treat advanced cancers: results of the MOSCATO 01 trial. Cancer Discov. 7, 586–595 (2017).
pubmed: 28365644
Cai, L., Yuan, W., Zhang, Z., He, L. & Chou, K.-C. In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth data. Sci. Rep. 6, 36540 (2016).
pubmed: 27874022 pmcid: 5118795
Krøigård, A. B., Thomassen, M., Lænkholm, A.-V., Kruse, T. A. & Larsen, M. J. Evaluation of nine somatic variant callers for detection of somatic mutations in exome and targeted deep sequencing data. PLOS ONE 11, 1–15 (2016).
Ewing, A. D. et al. Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection. Nat. Methods 12, 623–630 (2015).
pubmed: 25984700 pmcid: 4856034
Zhao, Y. et al. Whole genome and exome sequencing reference datasets from a multi-center and cross-platform benchmark study. Sci. Data 8, 296 (2021).
pubmed: 34753956 pmcid: 8578599
Xiao, W. et al. Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing. Nat. Biotechnol. 39, 1141–1150 (2021).
pubmed: 34504346 pmcid: 8506910
Barbitoff, Y. A., Abasov, R., Tvorogova, V. E., Glotov, A. S. & Predeus, A. V. Systematic benchmark of state-of-the-art variant calling pipelines identifies major factors affecting accuracy of coding sequence variant discovery. BMC Genomics 23, 155 (2022).
pubmed: 35193511 pmcid: 8862519
Spence, T. et al. Inter-laboratory proficiency testing scheme for tumour next-generation sequencing in Ontario: a pilot study. Curr. Oncol. Tor. Ont. 26, e717–e732 (2019).
Quy, P. N. et al. Inter-assay variability of next-generation sequencing-based gene panels. BMC Med. Genomics 15, 86 (2022).
pubmed: 35428255 pmcid: 9013031
Maekawa, M. et al. Precision cancer genome testing needs proficiency testing involving all stakeholders. Sci. Rep. 12, 1494 (2022).
pubmed: 35087199 pmcid: 8795413
Davies, K. D. et al. Multi-Institutional FASTQ File Exchange as a Means of Proficiency Testing for Next-Generation Sequencing Bioinformatics and Variant Interpretation. J. Mol. Diagn. 18, 572–579 (2016).
pubmed: 27155050
Karimnezhad, A. et al. Accuracy and reproducibility of somatic point mutation calling in clinical-type targeted sequencing data. BMC Med. Genomics 13, 156 (2020).
pubmed: 33059707 pmcid: 7560075
Gabrielaite, M. et al. A Comparison of Tools for Copy-Number Variation Detection in Germline Whole Exome and Whole Genome Sequencing Data. Cancers 13, 6283 (2021).
pubmed: 34944901 pmcid: 8699073
Zare, F., Dow, M., Monteleone, N., Hosny, A. & Nabavi, S. An evaluation of copy number variation detection tools for cancer using whole exome sequencing data. BMC Bioinforma. 18, 286 (2017).
Nam, J.-Y. et al. Evaluation of somatic copy number estimation tools for whole-exome sequencing data. Brief. Bioinform. 17, 185–192 (2016).
pubmed: 26210357
Kadalayil, L. et al. Exome sequence read depth methods for identifying copy number changes. Brief. Bioinform. 16, 380–392 (2015).
pubmed: 25169955
Merino, D. M. et al. Establishing guidelines to harmonize tumor mutational burden (TMB): in silico assessment of variation in TMB quantification across diagnostic platforms: phase I of the Friends of Cancer Research TMB Harmonization Project. J. Immunother. Cancer 8, e000147 (2020).
pubmed: 32217756 pmcid: 7174078
Vega, D. M. et al. Aligning tumor mutational burden (TMB) quantification across diagnostic platforms: phase II of the Friends of Cancer Research TMB Harmonization Project. Ann. Oncol. J. Eur. Soc. Med. Oncol. 32, 1626–1636 (2021).
Lambin, S. et al. 33P - Tumour mutational burden ring trial: Evaluation of targeted next-generation sequencing platforms for implementation in clinical practice. Abstr. Book ESMO Immuno-Oncol. Congr. 2019 11–14 Dec. 2019 Geneva Switz. 30, xi10 (2019).
Velasco, A. et al. Multi-center real-world comparison of the fully automated Idylla
Stenzinger, A. et al. Trailblazing precision medicine in Europe: A joint view by Genomic Medicine Sweden and the Centers for Personalized Medicine, ZPM, in Germany. Precis. Med. Cancer 84, 242–254 (2022).
Bowler, T. G. et al. Misidentification of MLL3 and other mutations in cancer due to highly homologous genomic regions. Leuk. Lymphoma 60, 3132–3137 (2019).
pubmed: 31288594
Chakravarty, D. et al. OncoKB: A Precision Oncology Knowledge Base. JCO Precis. Oncol. 1–16. https://doi.org/10.1200/PO.17.00011 (2017).
Favero, F. et al. Sequenza: allele-specific copy number and mutation profiles from tumor sequencing data. Ann. Oncol. J. Eur. Soc. Med. Oncol. 26, 64–70 (2015).
Sztupinszki, Z. et al. Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer. Npj Breast Cancer 4, 16 (2018).
pubmed: 29978035 pmcid: 6028448
Demidov, G., Sturm, M. & Ossowski, S. ClinCNV: multi-sample germline CNV detection in NGS data. bioRxiv 2022.06.10.495642. https://doi.org/10.1101/2022.06.10.495642 (2022).
Jia, P. et al. MSIsensor-pro: Fast, Accurate, and Matched-normal-sample-free Detection of Microsatellite Instability. Genomics Proteom. Bioinforma. 18, 65–71 (2020).
Kautto, E. A. et al. Performance evaluation for rapid detection of pan-cancer microsatellite instability with MANTIS. Oncotarget 8, 7452–7463 (2017).
pubmed: 27980218
Menzel, M. et al. Accurate tumor purity determination is critical for the analysis of homologous recombination deficiency (HRD). Transl. Oncol. 35, 101706 (2023).
pubmed: 37327584 pmcid: 10285282
Budczies, J. et al. Optimizing panel-based tumor mutational burden (TMB) measurement. Ann. Oncol. J. Eur. Soc. Med. Oncol. 30, 1496–1506 (2019).
Stenzinger, A. et al. Harmonization and Standardization of Panel-Based Tumor Mutational Burden Measurement: Real-World Results and Recommendations of the Quality in Pathology Study. J. Thorac. Oncol. 15, 1177–1189 (2020).
pubmed: 32119917
Oh, E. et al. Comparison of Accuracy of Whole-Exome Sequencing with Formalin-Fixed Paraffin-Embedded and Fresh Frozen Tissue Samples. PloS One 10, e0144162 (2015).
pubmed: 26641479 pmcid: 4671711
Illert, A. L. et al. The German Network for Personalized Medicine to enhance patient care and translational research. Nat. Med. 29, 1298–1301 (2023).
pubmed: 37280276
GenomDE https://genom.de/ (2023).
Okonechnikov, K., Conesa, A. & García-Alcalde, F. Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data. Bioinforma. Oxf. Engl. 32, 292–294 (2016).
Miller, D. T. et al. ACMG SF v3.1 list for reporting of secondary findings in clinical exome and genome sequencing: A policy statement of the American College of Medical Genetics and Genomics (ACMG). Genet. Med. 24, 1407–1414 (2022).
pubmed: 35802134
Kundra, R. et al. OncoTree: A Cancer Classification System for Precision Oncology. JCO Clin. Cancer Inf. 5, 221–230 (2021).
Quinlan, A. R. & Hall, I. M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841–842 (2010).
pubmed: 20110278 pmcid: 2832824
Virtanen, P. et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat. Methods 17, 261–272 (2020).
pubmed: 32015543 pmcid: 7056644
Dale, R. K., Pedersen, B. S. & Quinlan, A. R. Pybedtools: a flexible Python library for manipulating genomic datasets and annotations. Bioinformatics 27, 3423–3424 (2011).
pubmed: 21949271 pmcid: 3232365
Harris, C. R. et al. Array programming with NumPy. Nature 585, 357–362 (2020).
pubmed: 32939066 pmcid: 7759461
Hunter, J. D. Matplotlib: A 2D Graphics Environment. Comput. Sci. Eng. 9, 90–95 (2007).
Waskom, M. L. seaborn: statistical data visualization. J. Open Source Softw. 6, 3021 (2021).
team, T. pandas development. pandas-dev/pandas: Pandas. (Zenodo, 2020). https://doi.org/10.5281/zenodo.3509134 .

Auteurs

Michael Menzel (M)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.

Stephan Ossowski (S)

Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Center for Personalized Medicine (ZPM), Tübingen, Germany.
Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, Tübingen, Germany.

Sebastian Kral (S)

Institute for Surgical Pathology, Medical Center, University of Freiburg, Freiburg, Germany.
Center for Personalized Medicine (ZPM), Freiburg, Germany.

Patrick Metzger (P)

Center for Personalized Medicine (ZPM), Freiburg, Germany.
Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Peter Horak (P)

Center for Personalized Medicine (ZPM), Heidelberg, Germany.
Division of Translational Medical Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
German Cancer Consortium (DKTK), Heidelberg, Germany.

Ralf Marienfeld (R)

Institute of Pathology, University Hospital Ulm, Ulm, Germany.
Center for Personalized Medicine (ZPM), Ulm, Germany.

Melanie Boerries (M)

Center for Personalized Medicine (ZPM), Freiburg, Germany.
Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Comprehensive Cancer Center Freiburg (CCCF), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
German Cancer Consortium (DKTK) Partner Site Freiburg, and German Cancer Research Center (DKFZ), Heidelberg, Germany.

Steffen Wolter (S)

Institute for Surgical Pathology, Medical Center, University of Freiburg, Freiburg, Germany.
Center for Personalized Medicine (ZPM), Freiburg, Germany.

Markus Ball (M)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.

Olaf Neumann (O)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.

Sorin Armeanu-Ebinger (S)

Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Center for Personalized Medicine (ZPM), Tübingen, Germany.

Christopher Schroeder (C)

Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Center for Personalized Medicine (ZPM), Tübingen, Germany.

Uta Matysiak (U)

Institute for Surgical Pathology, Medical Center, University of Freiburg, Freiburg, Germany.
Center for Personalized Medicine (ZPM), Freiburg, Germany.

Hannah Goldschmid (H)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.

Vincent Schipperges (V)

Center for Personalized Medicine (ZPM), Freiburg, Germany.
Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Axel Fürstberger (A)

Institute of Pathology, University Hospital Ulm, Ulm, Germany.
Center for Personalized Medicine (ZPM), Ulm, Germany.
Institute of Medical Systems Biology, Ulm University, Ulm, Germany.

Michael Allgäuer (M)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.

Timo Eberhardt (T)

Institute of Pathology, University Hospital Ulm, Ulm, Germany.
Center for Personalized Medicine (ZPM), Ulm, Germany.

Jakob Niewöhner (J)

Institute of Pathology, University Hospital Ulm, Ulm, Germany.

Andreas Blaumeiser (A)

Center for Personalized Medicine (ZPM), Freiburg, Germany.
Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
German Cancer Consortium (DKTK) Partner Site Freiburg, and German Cancer Research Center (DKFZ), Heidelberg, Germany.

Carolin Ploeger (C)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.

Tobias Bernd Haack (TB)

Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Center for Personalized Medicine (ZPM), Tübingen, Germany.

Timothy Kwang Yong Tay (TKY)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.
Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore.

Olga Kelemen (O)

Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Center for Personalized Medicine (ZPM), Tübingen, Germany.

Thomas Pauli (T)

Center for Personalized Medicine (ZPM), Freiburg, Germany.
Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Martina Kirchner (M)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.

Klaus Kluck (K)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.

Alexander Ott (A)

Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Center for Personalized Medicine (ZPM), Tübingen, Germany.

Marcus Renner (M)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.
Division of Translational Medical Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.

Jakob Admard (J)

Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Center for Personalized Medicine (ZPM), Tübingen, Germany.

Axel Gschwind (A)

Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Center for Personalized Medicine (ZPM), Tübingen, Germany.

Silke Lassmann (S)

Institute for Surgical Pathology, Medical Center, University of Freiburg, Freiburg, Germany.
Center for Personalized Medicine (ZPM), Freiburg, Germany.

Hans Kestler (H)

Institute of Pathology, University Hospital Ulm, Ulm, Germany.
Center for Personalized Medicine (ZPM), Ulm, Germany.

Falko Fend (F)

Institute of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany.

Anna Lena Illert (AL)

Department of Medicine I, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79085, Freiburg, Germany.
Medical Department for Hematology and Oncology, Klinikum Rechts der Isar, Technische Universität München, 80333, Munich, Germany.
German Cancer Consortium (DKTK) Partner Site Munich, and German Cancer Research Center (DKFZ), Heidelberg, Germany.

Martin Werner (M)

Institute for Surgical Pathology, Medical Center, University of Freiburg, Freiburg, Germany.
Center for Personalized Medicine (ZPM), Freiburg, Germany.
German Cancer Consortium (DKTK) Partner Site Freiburg, and German Cancer Research Center (DKFZ), Heidelberg, Germany.

Peter Möller (P)

Institute of Pathology, University Hospital Ulm, Ulm, Germany.

Thomas Theodor Werner Seufferlein (TTW)

Center for Personalized Medicine (ZPM), Ulm, Germany.
Department of Internal Medicine I, University of Ulm, Ulm, Germany.

Nisar Malek (N)

Center for Personalized Medicine (ZPM), Tübingen, Germany.
Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany.

Peter Schirmacher (P)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.
German Cancer Consortium (DKTK), Heidelberg, Germany.

Stefan Fröhling (S)

Center for Personalized Medicine (ZPM), Heidelberg, Germany.
Division of Translational Medical Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
German Cancer Consortium (DKTK), Heidelberg, Germany.

Daniel Kazdal (D)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Center for Personalized Medicine (ZPM), Heidelberg, Germany.

Jan Budczies (J)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany. jan.budczies@med.uni-heidelberg.de.
Center for Personalized Medicine (ZPM), Heidelberg, Germany. jan.budczies@med.uni-heidelberg.de.
German Cancer Consortium (DKTK), Heidelberg, Germany. jan.budczies@med.uni-heidelberg.de.

Albrecht Stenzinger (A)

Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany. albrecht.stenzinger@med.uni-heidelberg.de.
Center for Personalized Medicine (ZPM), Heidelberg, Germany. albrecht.stenzinger@med.uni-heidelberg.de.
German Cancer Consortium (DKTK), Heidelberg, Germany. albrecht.stenzinger@med.uni-heidelberg.de.

Classifications MeSH