ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes
- DOI
- 10.1158/1078-0432.ccr-25-4513
- Published
- 2026-04-07
- Container
- Clinical Cancer Research
- Publisher
- American Association for Cancer Research (AACR)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1158/1078-0432.ccr-25-4513,
title = {ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes},
author = {Philipp Anders and Marvin Sextro and Katja Lingelbach and Kai Standvoss and Suhas Pandhe and Sandip Ghosh and Cornelius Böhm and Stephan Tietz and Rosemarie Krupar and Lars Tharun and Marie-Lisa Eich and Julika Ribbat-Idel and Evelyn Ramberger and Xizi Liang and Verena Aumiller and Sabine Merkelbach-Bruse and Alexander Quaas and Nikolaj Frost and Georg Schlachtenberger and Matthias Heldwein and Ulrich Keilholz and Khosro Hekmat and Jens-Carsten Rückert and Reinhard Büttner and Christian Grohe and David Horst and Maximilian Alber and Lukas Ruff and Frederick Klauschen and Gabriel Dernbach and Philipp Seegerer and Simon Schallenberg},
year = {2026},
journal = {Clinical Cancer Research},
doi = {10.1158/1078-0432.ccr-25-4513},
url = {https://doi.org/10.1158/1078-0432.ccr-25-4513}
}RIS
TY - JOUR TI - ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes AU - Philipp Anders AU - Marvin Sextro AU - Katja Lingelbach AU - Kai Standvoss AU - Suhas Pandhe AU - Sandip Ghosh AU - Cornelius Böhm AU - Stephan Tietz AU - Rosemarie Krupar AU - Lars Tharun AU - Marie-Lisa Eich AU - Julika Ribbat-Idel AU - Evelyn Ramberger AU - Xizi Liang AU - Verena Aumiller AU - Sabine Merkelbach-Bruse AU - Alexander Quaas AU - Nikolaj Frost AU - Georg Schlachtenberger AU - Matthias Heldwein AU - Ulrich Keilholz AU - Khosro Hekmat AU - Jens-Carsten Rückert AU - Reinhard Büttner AU - Christian Grohe AU - David Horst AU - Maximilian Alber AU - Lukas Ruff AU - Frederick Klauschen AU - Gabriel Dernbach AU - Philipp Seegerer AU - Simon Schallenberg PY - 2026 JO - Clinical Cancer Research DO - 10.1158/1078-0432.ccr-25-4513 UR - https://doi.org/10.1158/1078-0432.ccr-25-4513 ER -
APA
Anders, P., Sextro, M., Lingelbach, K., Standvoss, K., Pandhe, S., Ghosh, S., Böhm, C., Tietz, S., Krupar, R., Tharun, L., Eich, M., Ribbat-Idel, J., Ramberger, E., Liang, X., Aumiller, V., Merkelbach-Bruse, S., Quaas, A., Frost, N., Schlachtenberger, G., Heldwein, M., Keilholz, U., Hekmat, K., Rückert, J., Büttner, R., Grohe, C., Horst, D., Alber, M., Ruff, L., Klauschen, F., Dernbach, G., Seegerer, P., & Schallenberg, S. (2026). ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes. Clinical Cancer Research. https://doi.org/10.1158/1078-0432.ccr-25-4513
Source records
- crossref · retrieved 2026-09-26T14:17:41.605Z