ArticleAnnals of surgical oncology2025
Noninvasive Prediction of Programmed Cell Death Protein-Ligand 1 Expression in Locally Advanced Non-small Cell Lung Cancer by
Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- Integrated tumor habitat and metabolic hot spot displacement analysis on [¹⁸F]FDG PET/CT for predicting treatment response and progression in unresectable locally advanced NSCLC: a two-center competing risk study.European journal of nuclear medicine and molecular imaging · 2026Article
- Heterogeneity Analyzed by CT-Based Habitat Analysis for Clinical Management of Cancers: A Narrative Review.The Kaohsiung journal of medical sciences · 2026Review
- Integration of habitat radiomics and traditional radiomic features for predicting pathological complete response in esophageal squamous cell carcinoma following neoadjuvant immunotherapy and chemotherapy: a multicenter comparative study.Journal of translational medicine · 2026Article
- Radiomics to understand pre-treatment tumor biology for resectable non-small cell lung cancer.Frontiers in oncology · 2026Review
- Interpretable machine learning model integrating CT radiomics, CTR, and clinical features for EGFR mutation prediction in ≤3 cm lung adenocarcinoma nodules.Annals of medicine · 2025Article
- Development and Validation of a Combined Model Integrating Early Pregnancy Ultrasound Radiomics and Clinical Features to Predict Live Birth Following Single Vitrified-Warmed Blastocyst Transfer.Reproductive medicine and biologyArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundProgrammed cell death protein-ligand 1 (PD-L1) expression is an important marker for immunotherapy in locally advanced non-small cell lung cancer (LA-NSCLC). PD-L1 expression has a bi-directional positive feedback relationship with glycolysis status.
objectiveThis study aimed to develop a metabolic habitat model based on
methodsWe included 219 patients from two independent centers and divided them into the training (n = 175) and testing (n = 44) cohorts. Tumors were segmented into four spatially distinct, biologically similar metabolic habitat subregions using the Otsu method. Radiomic characteristics and metabolic parameters were extracted from each habitat and used to generate multiple predictive models based on the Extra Trees classifier. Data from 1043 patients in The Cancer Genome Atlas database were used to analyze the genes associated with PD-L1 expression in NSCLC.
resultsThe metabolic habitat model exhibited the highest performance, with area under the curve values of 0.833 and 0.786 in the training and testing cohorts, respectively, outperforming other models. Subregion analysis revealed that high-glycolytic/high-density habitats (PET
conclusionsThe metabolic habitat model based on
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.