ErbB receptor tyrosine kinase receptors as a therapeutic target in melanoma

4.4.2.Alpha and beta diversity were assessed for sex, clinical benefit after one year, RECIST, and best of response, analyzing differences between groups.Linear discriminant analysis (LDA) identified differences in microbial composition between groups.A Random Forest classifier was trained using the OTU abundance calculations, following the Qiime2 best practices guide.Results: The alpha diversity indices Chao1, Observed Features, and Shannon found significant differences with p.adjusted by Benjamini-Hochberg < 0.05 for the clinical benefit at year variable.This indicates that microbial population abundance could affect the response to immunotherapy.In the LefSe test, with an LDA score of 3, we identified ten bacterial genera that could predict good and poor responses to immunotherapy.

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Publication Details

Journal
EJC Skin Cancer
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ejcskn.2025.100492
Primary Topic
HER2/EGFR in Cancer Research
Type
article
Field-Weighted Citation Impact
0.00
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article

ErbB receptor tyrosine kinase receptors as a therapeutic target in melanoma

A.-K. Jochum, Tobias Sinnberg, Oltin T. Pop, Michael Hölzel et al.
EJC Skin Cancer
HER2/EGFR in Cancer Research
article

ErbB receptor tyrosine kinase receptors as a therapeutic target in melanoma

A.-K. Jochum, Tobias Sinnberg, Oltin T. Pop, Michael Hölzel, Stephan Forchhammer, Wolfram Jochum, Christian M. Schürch, Andrea Forschner, U. Leiter-Stöppke, Teresa Amaral, Heike Niessner, Lukas Flatz, Roland H. Wenger, Antonio Cozzio, Markus Jörger, A. Nurmammadova, B. Broske
article en

Abstract

4.4.2.Alpha and beta diversity were assessed for sex, clinical benefit after one year, RECIST, and best of response, analyzing differences between groups.Linear discriminant analysis (LDA) identified differences in microbial composition between groups.A Random Forest classifier was trained using the OTU abundance calculations, following the Qiime2 best practices guide.Results: The alpha diversity indices Chao1, Observed Features, and Shannon found significant differences with p.adjusted by Benjamini-Hochberg < 0.05 for the clinical benefit at year variable.This indicates that microbial population abundance could affect the response to immunotherapy.In the LefSe test, with an LDA score of 3, we identified ten bacterial genera that could predict good and poor responses to immunotherapy.

EJC Skin CancerVol. 3
University Hospital Bonn (DE), Kantonsspital St. Gallen (CH), University Children's Hospital Tübingen (DE), Kantonsspital Graubünden (CH), Charité - Universitätsmedizin Berlin (DE), University of Tübingen (DE)
Openalex Percentile: Top 90%
HER2/EGFR in Cancer Research
DOIOpen Access PDFOpenAlex
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