Machine learning models predict the primary sites of head and neck squamous cell carcinoma metastases based on DNA methylation-Reference-Cited by-同舟云学术

Machine learning models predict the primary sites of head and neck squamous cell carcinoma metastases based on DNA methylation

Published:2022-01-20 Issue: Volume: Page:
ISSN:0022-3417
Container-title:The Journal of Pathology
language:en
Short-container-title:The Journal of Pathology

Author:

Leitheiser Maximilian¹,Capper David²³,Seegerer Philipp⁴⁵,Lehmann Annika¹,Schüller Ulrich⁶⁷⁸,Müller Klaus‐Robert⁴⁹¹⁰¹¹,Klauschen Frederick¹⁵¹¹¹²,Jurmeister Philipp¹³¹²^ORCID,Bockmayr Michael¹⁶⁸¹³^ORCID

Affiliation:

1. Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, Institute of Pathology Berlin Germany

2. Department of Neuropathology Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin Berlin Germany

3. German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ) Heidelberg Germany

4. Machine‐Learning Group, Department of Software Engineering and Theoretical Computer Science Technical University of Berlin Berlin Germany

5. Aignostics GmbH Berlin Germany

6. Department of Pediatric Hematology and Oncology University Medical Center Hamburg‐Eppendorf Hamburg Germany

7. Institute of Neuropathology University Medical Center Hamburg‐Eppendorf Hamburg Germany

8. Research Institute Children's Cancer Center Hamburg Hamburg Germany

9. Department of Artificial Intelligence Korea University Seoul Republic of Korea

10. Max‐Planck‐Institute for Informatics Saarbrücken Germany

11. BIFOLD – Berlin Institute for the Foundations of Learning and Data Berlin Germany

12. Faculty of Medicine LMU München, Institute of Pathology Munich Germany

13. Mildred Scheel Cancer Career Center HaTriCS4 University Medical Center Hamburg‐Eppendorf Hamburg Germany

Funder

Bundesministerium für Bildung und Forschung

Deutsche Forschungsgemeinschaft

Deutschen Konsortium für Translationale Krebsforschung

Fördergemeinschaft Kinderkrebs-Zentrum Hamburg

Publisher

Wiley

Subject

Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/path.5845

Reference45 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. Diagnostic and treatment modalities for patients with cervical lymph node metastases of unknown primary site – current status and challenges

3. Cervical lymph node metastases of squamous cell carcinoma from an unknown primary site: a favourable prognosis subset of patients with CUP

4. Occult Primary Head and Neck Squamous Cell Carcinoma

5. Diagnostic strategies in cervical carcinoma of an unknown primary (CUP)

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