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Jan‐Malte Placke

Düsseldorf University Hospital ·
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Area of research
Oncology · Molecular Biology
Research interest
Research interests include Cutaneous Melanoma Detection and Management, Melanoma and MAPK Pathways, Cancer Immunotherapy and Biomarkers, and Lymphadenopathy Diagnosis and Analysis.
h-index
11
citations
938
works
43
NIH funding
primary concept
email

Recent publications

Adiponectin reduces immune checkpoint inhibitor-induced inflammation without blocking anti-tumor immunity
Cancer Cell 2025cited by 39position: middledoi
Presence of brain metastasis differentially impacts long-term survival after first-line therapy in melanoma depending on BRAF mutation status
Frontiers in Immunology 2025cited by 2position: firstdoi
Outcome of systemic therapy in patients with advanced rare skin cancers: A retrospective multicenter DeCOG study of 209 patients
European Journal of Cancer 2025cited by 1position: middledoi
Association of antibiotic treatment with survival outcomes in treatment-naïve melanoma patients receiving immune checkpoint blockade
European Journal of Cancer 2024cited by 9position: middledoi
Clinical and genetic characteristics of BAP1-mutated non-uveal and uveal melanoma
Frontiers in Immunology 2024cited by 8position: middledoi
Early versus late response to PD-1-based immunotherapy in metastatic melanoma
European Journal of Cancer 2024cited by 7position: middledoi
Spatial proteomics reveals sirtuin 1 to be a determinant of T-cell infiltration in human melanoma
British Journal of Dermatology 2024cited by 6position: firstdoi
Shortened progression free and overall survival to immune-checkpoint inhibitors in BRAF-, RAS- and NF1- (“Triple”) wild type melanomas
European Journal of Cancer 2024cited by 4position: middledoi
Correlation of tumor PD-L1 expression in different tissue types and outcome of PD-1-based immunotherapy in metastatic melanoma – analysis of the DeCOG prospective multicenter cohort study ADOREG/TRIM
EBioMedicine 2023cited by 47position: firstdoi
Characterisation and outcome of RAC1 mutated melanoma
European Journal of Cancer 2023cited by 14position: middledoi
Brain metastasis and survival outcomes after first-line therapy in metastatic melanoma: a multicenter DeCOG study on 1704 patients from the prospective skin cancer registry ADOREG
Journal for ImmunoTherapy of Cancer 2023cited by 13position: middledoi
Prognostic factors in the primary care of patients with Merkel cell carcinoma: A monocentric cohort study of 108 patients from a tertiary referral centre
JEADV Clinical Practice 2023cited by 2position: firstdoi
Response to First-Line Treatment with Immune-Checkpoint Inhibitors in Patients with Advanced Cutaneous Squamous Cell Carcinoma: A Multicenter, Retrospective Analysis from the German ADOReg Registry
Cancers 2022cited by 8position: middledoi
Coronavirus disease 2019 vaccine mimics lymph node metastases in patients undergoing skin cancer follow-up: A monocentre study
European Journal of Cancer 2021cited by 20position: firstdoi
Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma
Frontiers in Oncology 2021cited by 19position: firstdoi
Apoptotic Gastritis in Melanoma Patients Treated With PD-1-Based Immune Checkpoint Inhibition – Clinical and Histopathological Findings Including the Diagnostic Value of Anti-Caspase-3 Immunohistochemistry
Frontiers in Oncology 2021cited by 16position: firstdoi
Early Exanthema Upon Vemurafenib Plus Cobimetinib Is Associated With a Favorable Treatment Outcome in Metastatic Melanoma: A Retrospective Multicenter DeCOG Study
Frontiers in Oncology 2021cited by 2position: middledoi
Tumor PD-L1 expression and gene panel mutational profile as outcome predictors of PD-1-based checkpoint inhibition therapy in metastatic melanoma: A prospective multicenter DeCOG study.
Journal of Clinical Oncology 2021cited by 2position: middledoi
Covid-19 vaccine mimics lymph node metastases in patients undergoing skin cancer follow-up - a monocenter study
European Journal of Cancer 2021cited by 1position: first
Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task
European Journal of Cancer 2019cited by 573position: middledoi
A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task
European Journal of Cancer 2019cited by 298position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Dirk Schadendorf · Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori11 papers (2021–2025)Selma Ugurel · Kliniken Essen-Mitte9 papers (2021–2025)Alexander Roesch · German Cancer Research Center7 papers (2021–2025)Lisa Zimmer · German Marine Research Consortium6 papers (2021–2025)Eva Hadaschik · Essen University Hospital6 papers (2021–2024)Elisabeth Livingstone · German Cancer Research Center5 papers (2021–2025)Ralf Gutzmer · University of Duisburg-Essen5 papers (2021–2025)Jochen Utikal · German Cancer Research Center4 papers (2021–2025)Klaus Griewank · Düsseldorf University Hospital4 papers (2021–2025)Claudia Pföhler · Universitätsklinikum des Saarlandes4 papers (2021–2025)Alpaslan Tasdogan · Klinik und Poliklinik für Urologie, Kinderurologie und Andrologie3 papers (2023–2025)Antje Sucker · German Marine Research Consortium3 papers (2021–2024)Carmen Loquai · University Hospital and Clinics3 papers (2021–2024)Alexander Kreuter · Medizinische Hochschule Hannover3 papers (2021–2025)Patrick Terheyden · Martin Luther University Halle-Wittenberg3 papers (2021–2025)Rudolf Herbst · PHV Dialysezentrum3 papers (2021–2025)Henning Reis · West German Heart and Vascular Center Essen3 papers (2021–2021)Michael Weichenthal · Christian-Albrechts-Universität zu Kiel3 papers (2021–2025)Friedegund Meier · University Cancer Center Hamburg3 papers (2021–2025)Peter Mohr · Elbe Kliniken Stade-Buxtehude2 papers (2021–2022)
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