ArticleFrontiers in oncology2026
Baseline 18F-FDG PET/CT metabolic parameters and systemic inflammatory markers in advanced NSCLC treated with first-line immunotherapy: an exploratory retrospective analysis.
Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Predictive biomarkers for patients with advanced non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs) remain limited. Systemic inflammation plays a crucial role in cancer progression and immune regulation. We evaluated whether baseline 18F-FDG PET/CT metabolic parameters and systemic inflammatory markers are associated with treatment response and survival in patients with advanced NSCLC treated with first-line ICIs. Methods: Among 142 patients treated with first-line ICIs either as monotherapy or combined with chemotherapy, between October 2018 and December 2023, 116 had baseline PET/CT imaging. Quantitative analyses of standardized uptake value max (SUVmax) and metabolic tumor volume (MTV) were restricted to 71 patients whose scans were performed at our institution. Associations with response, progression free survival (PFS), and overall survival (OS) were analyzed. Results: In multivariable models including clinical variables, PET biomarkers and inflammatory markers, no individual PET or inflammatory biomarker remained independently associated with survival. Combined models suggested better prognostic discrimination compared with PET-only or inflammation-only models (OS C-index 0.745; PFS C-index 0.750). In contrast, sex, TTF-1 status, and the presence of adrenal and lung metastases emerged as independent predictors of OS and/or PFS. SUVmax correlated significantly with baseline CRP levels, while no significant associations were observed with LDH or NLR. MTV was associated with LDH but not with CRP or NLR. Conclusions: Baseline PET-derived metabolic parameters and systemic inflammatory biomarkers may provide complementary prognostic information in advanced NSCLC treated with first-line ICIs. Integrated clinical, metabolic, and inflammatory models showed improved prognostic performance, supporting further prospective validation of multimodal risk stratification strategies.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.