ArticleFrontiers in immunology2026
Circulating immune and biochemical markers predict tumor response to immunotherapy in advanced melanoma and lung cancer.
Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Baseline Neutrophil-to-Lymphocyte Ratio and Two-Year Incident Distant Metastasis in Stage I-III Lung Cancer: A Single-Center Retrospective Cohort Study.Journal of clinical medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Peripheral immune biomarkers provide a minimally invasive approach to monitor systemic responses to cancer immunotherapy, yet their predictive value in real-world longitudinal settings remains incompletely defined. Methods: We conducted a prospective longitudinal study in patients with advanced melanoma and non-small cell lung cancer (NSCLC) receiving immune checkpoint inhibitors. Thirteen circulating immune, inflammatory, and nutritional biomarkers were analyzed across treatment cycles, and their association with radiological response over time was assessed using Bayesian ordinal mixed-effects models. Results: Nine biomarkers showed significant longitudinal associations with clinical outcomes. CD4+ T cells emerged as the strongest predictor of favorable response, followed by CD3+ and CD45+ T cells, natural killer cells, albumin, and total protein, whereas elevated neutrophils, lactate dehydrogenase, and the neutrophil-to-lymphocyte ratio were associated with poor outcomes. No significant effects were observed for CD8+ T cells, B cells, total lymphocytes, or the CD4/CD8 ratio. Discussion: These findings identify circulating CD4+ T cells as the most informative peripheral biomarker associated with longitudinal response to immune checkpoint inhibitors and support the clinical utility of peripheral immune profiling as a dynamic, minimally invasive strategy for monitoring treatment efficacy in routine oncology practice.
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.