EGFR-mediated local invasiveness and response to Cetuximab in head and neck cancer

We describe an actionable network of EGFR-mediated local invasion and define druggable effectors with predictive potential regarding the response of R/M-HNSCC to Cetuximab.

Authors

Institutions

Publication Details

Journal
Molecular Cancer
Published
2025-03-22
DOI
https://doi.org/10.1186/s12943-025-02290-1
Citations
12
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
12.54
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EGFR-mediated local invasiveness and response to Cetuximab in head and neck cancer

Melanie Boxberg, Iordanis Ourailidis, Claus Belka, Jiahang Song et al.
12 citations
Molecular Cancer
Cancer Cells and Metastasis
12.54
article

EGFR-mediated local invasiveness and response to Cetuximab in head and neck cancer

Melanie Boxberg, Iordanis Ourailidis, Claus Belka, Jiahang Song, Zhengquan Wu, Jiefu Zhou, Kristian Unger, Olivier Gires, Horst Zitzelsberger, Philipp Baumeister, Enxian Shi, Andreas Möck, Dongmei Ji, Sabina Schwenk‐Zieger, Fabian Stögbauer, Julia Heß, Gisela Kranz, Jan Budczies, Hongxia Wang, Qiong Zhao, Hairong Wang, Min He, Christoph Andreas Reichel, Martin Canis, Nilofer Abdul Razak, Anna Tscherne, Vaidehi Ponkshe
article en
12 citations

Abstract

We describe an actionable network of EGFR-mediated local invasion and define druggable effectors with predictive potential regarding the response of R/M-HNSCC to Cetuximab.

Molecular CancerVol. 24(1)
Central South University (CN), Sun Yat-sen University (CN), German Cancer Research Center (DE), Heidelberg University (DE), Helmholtz Zentrum München (DE), LMU Klinikum (DE), Fudan University Shanghai Cancer Center (CN), Comprehensive Cancer Center Mainfranken (DE), Soil and Fertilizer Institute of Hunan Province (CN), Third Affiliated Hospital of Sun Yat-sen University (CN), Xiangya Hospital Central South University (CN), Deutsches Konsortium für Translationale Krebsforschung (DE), Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE)
Good health and well-being
Openalex Percentile: Top 1%
Cancer Cells and Metastasis
12.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.