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Title:Limited predictive value of PD-L1 TPS for pathological response in NSCLC is not attributable to interobserver variability
Authors:ID Steinestel, Konrad (Author)
ID Löwer-Kiem, Lena-Maria (Author)
ID Ambrosi, Francesca (Author)
ID Becker, Anne-Sophie (Author)
ID Bohnenberger, Hanibal (Author)
ID Bräutigam, Konstantin (Author)
ID Cazzato, Gerardo (Author)
ID Conde, Esther (Author)
ID Cozac-Szőke, Andreea-Raluca (Author)
ID Curto, Daniel (Author)
ID Dahlberg, Jan-Olof (Author)
ID Gama, João Martins (Author)
ID Gambella, Alessandro (Author)
ID Hutarew, Georg (Author)
ID Lopez-Rios, Fernando (Author)
ID Lucà, Stefano (Author)
ID Lunardi, Francesca (Author)
ID Matek, Christian (Author)
ID Meyer, Christian (Author)
ID Olteanu, Gheorghe-Emilian (Author)
ID Popper, Helmut H. (Author)
ID Roden, Anja C (Author)
ID Samaras, Menelaos G (Author)
ID Skok, Kristijan (Author)
ID Suster, David (Author)
ID Weissferdt, Annikka (Author)
ID Zustin, Jozef (Author)
ID Kümpers, Christiane (Author)
ID Elsner, Felix (Author)
Files:.pdf RAZ_Steinestel_Konrad_2026.pdf (2,20 MB)
MD5: 3A1E7F3368F695B3A2BCC5AEEC798C93
 
URL https://doi.org/10.1016/j.lungcan.2026.109510
 
URL https://linkinghub.elsevier.com/retrieve/pii/S0169500226005714
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:MF - Faculty of Medicine
Abstract:Background PD-L1 tumor proportion score (TPS) is used to guide immunotherapy in non-small cell lung cancer (NSCLC), yet its ability to predict pathological response in the neoadjuvant setting remains limited. Methods Thirty pathologists from 11 countries independently assessed PD-L1 TPS in pre-treatment biopsies and residual viable tumor (RVT) in matched resection specimens after neoadjuvant chemoimmunotherapy in 30 digitized cases from the ReGraDE (regression grading in Germany) study. Interobserver agreement was evaluated using intraclass correlation coefficients (ICC) and Fleiss’ kappa. Associations between TPS and RVT were analyzed using Pearson correlation, and correlations derived from single-rater and averaged TPS were compared using the Williams test. Results Interobserver agreement was moderate for both TPS and RVT (ICC = 0.74, 95% CI 0.60–0.87, and ICC = 0.74, 95% CI 0.62–0.85, respectively) and became near-perfect when mean scores per case were calculated across observers (ICC = 0.99, for both). However, TPS remained poorly correlated with RVT for both single-rater assessment (r = –0.17, p = 0.38) and averaged TPS (r = –0.16, p = 0.39) with no significant difference between these approaches (p = 0.96). Differences in interpretation thresholds were observed particularly in borderline cases around the 1% TPS cut-off and in distinguishing 0% from minimal RVT, but did not account for the lack of association between TPS and RVT. Systematic differences were observed depending on individual professional experience, particularly in borderline cases. Conclusion Interobserver variability does not explain the limited predictive value of PD-L1 TPS in the neoadjuvant setting, suggesting an intrinsic limitation of the biomarker.
Keywords:non-small cell lung cancer (NSCLC), PD-L1, tumor proportion score (TPS), residual viable tumor (RVT), neoadjuvant chemoimmunotherapy, interobserver variability
Publication status:Published
Publication version:Version of Record
Submitted for review:05.06.2026
Article acceptance date:05.05.2026
Publication date:01.08.2026
Publisher:Elsevier
Year of publishing:2026
Number of pages:str. [1]-8
Numbering:Letn. 218, Aug. 2026, št. članka 109510
PID:20.500.12556/DKUM-100352 New window
UDC:616-006
ISSN on article:1872-8332
COBISS.SI-ID:291043075 New window
DOI:10.1016/j.lungcan.2026.109510 New window
Publication date in DKUM:15.09.2026
Views:105
Downloads:0
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Lung cancer
Publisher:Elsevier
ISSN:1872-8332
COBISS.SI-ID:2725499 New window

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License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

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