TY  - JOUR
AU  - Allgäuer, M.
AU  - Kluck, K.
AU  - Christopoulos, P.
AU  - Ball, M.
AU  - Volckmar, A-L
AU  - Radonic, T.
AU  - Bubendorf, L.
AU  - Hofman, P.
AU  - Heußel, C. P.
AU  - Winter, H.
AU  - Herth, F.
AU  - Thomas, M.
AU  - Ylstra, B.
AU  - Peters, S.
AU  - Schirmacher, P.
AU  - Kazdal, D.
AU  - Budczies, J.
AU  - Stenzinger, A.
AU  - Kirchner, M.
TI  - Advancing Lung Cancer Staging: Integrating IASLC Recommendations and Bioinformatics to Delineate Tumor Origins.
JO  - Journal of thoracic oncology
VL  - nn
SN  - 1556-0864
CY  - Amsterdam
PB  - Elsevier
M1  - DKFZ-2025-02206
SP  - nn
PY  - 2025
N1  - epub
AB  - Accurate distinction between separate primary lung carcinomas (SPLCs) and intrapulmonary metastases (IPMs) is essential for staging and treatment of multifocal non-small cell lung carcinoma (NSCLC). Next-generation sequencing (NGS) enables assessment of clonal relatedness. The proposed IASLC algorithm integrates histological and molecular data, though its clinical utility is yet to be validated.We focused on the molecular component of the algorithm and assessed 240 tumor pairs from 120 patients with formalin-fixed paraffin-embedded (FFPE) tumor samples that underwent small-scale gene panel NGS testing (31-54 genes) within routine clinical care. Most tumors were adenocarcinomas (n=222), 18 tumors other NSCLC subtypes. Inconclusive pairs by molecular classification were subjected to large-scale panel analyses (531 genes). Additionally, we developed a bioinformatic method to complement and refine the IASLC method.In total 22 tumor pairs (18
KW  - (max. n=5) Multiple pulmonary tumors (Other)
KW  - IASLC recommendations (2024) (Other)
KW  - Next Generation Sequencing (NGS) (Other)
KW  - clonality classification (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:41135642
DO  - DOI:10.1016/j.jtho.2025.10.010
UR  - https://inrepo02.dkfz.de/record/305532
ER  -