ADC target profiling in NSCLC: Generalizable AI separates TROP-2 and cMET phenotypes
Year: 2026
Type: dataset
Abstract: This dataset accompanies the paper "ADC target profiling in NSCLC: Generalizable AI separates TROP-2 and cMET phenotypes" and provides comprehensive clinicopathological, molecular, and expression data for a cohort of resected non-small cell lung cancer (NSCLC) patients. Contents: Patient Data Table (cohort_data.csv) QC flags (tumor content, rejection criteria for cMET/TROP-2) Clinical characteristics (age, sex, smoking status, ECOG) Tumor characteristics (histological subtype, grade, diameter) Pathological staging (pTNM, UICC 8th edition) Molecular pathology (mutation status for EGFR, KRAS, ALK, ROS1, TP53, and others) Survival outcomes (OS) AI-derived H-scores for: TROP-2 (membranous) TROP-2 (cytoplasmic) cMET (membranous) TMA Spot Images Immunohistochemistry-stained tissue microarray (TMA) spots for TROP-2 and cMET Linked via case_uuid to the patient data table
Authors: Anders, Philipp, Sextro, Marvin, Lingelbach, Katja, Standvoss, Kai, Pandhe, Suhas, Ghosh, Sandip, Böhm, Cornelius, Tietz, Stephan, Krupar, Rosemarie, Tharun, Lars, Eich, Marie-Lisa, Ribbat-Idel, Julika, Ramberger, Evelyn, Liang, Xizi, Aumiller, Verena, Merkelbach-Bruse, Sabine, Quaas, Alexander, Frost, Nikolaj, Schlachtenberger, Georg, Heldwein, Matthias, Keilholz, Ulrich, Hekmat, Khosro, Rückert, Jens-Carsten, Büttner, Reinhard, Grohe, Christian, Horst, David, Alber, Maximilian, Ruff, Lukas, Klauschen, Frederick, Dernbach, Gabriel, Seegerer, Philipp, Schallenberg, Simon
Institutions: Humboldt-Universität zu Berlin, Institut für Hämatopathologie Hamburg, Medizinisches Versorgungszentrum Prof. Mathey, Prof. Schofer, Charité – Universitätsmedizin Berlin, Berlin Institute for the Foundations of Learning and Data, Technische Universität Berlin, University Hospital Cologne, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Freie Universität Berlin, University of Cologne, German Cancer Research Center, Deutsches Konsortium für Translationale Krebsforschung, Evangelische Lungenklinik Berlin, Pathologisches Institut, Ludwig-Maximilians-Universität München
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7127964245
