ArticleCancer cell international2023
Elevated levels of neutrophil related chemokine citrullinated histone H3, interleukin-8 and C-reaction protein in patients with immune checkpoint inhibitor therapy: predictive biomarkers for response to treatment.
Article in Cancer cell international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- [Research Progress of Neutrophil Extracellular Traps in Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Review
- Prognostic Significance of Plasma Neutrophil Extracellular Trap Levels in Patients with Non-Small Cell Lung Cancer Treated with Immune Checkpoint Inhibitors.Biomedicines · 2024Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundImmune checkpoint inhibitor (ICI) therapy has been used in various tumors. The biomarkers predictive of a response to ICI treatment remain unclear, and additional and combined biomarkers are urgently needed. Secreted factors related to the tumor microenvironment (TME) have been evaluated to identify novel noninvasive predictive biomarkers.
methodsWe analyzed 85 patients undergoing ICI therapy as the primary cohort. The associations between ICI response and all biomarkers were evaluated. A prediction model and a nomogram were developed and validated based on the above factors.
resultsSeventy-seven patients were enrolled in the validation cohort. In the primary cohort, the baseline serum levels of H3Cit, IL-8 and CRP were significantly higher in nonresponder patients. A model based on these three factors was developed, and the "risk score" of an ICI response was calculated with the formula: "risk score" = 3.4591×H3Cit + 2.5808×IL8 + 2.0045 ×CRP- 11.3844. The cutoff point of the "risk score" was 0.528, and patients with a "risk score" lower than 0.528 were more likely to benefit from ICI treatment (AUC: 0.937, 95% CI: 0.886-0.988, with sensitivity 80.60%, specificity 91.40%). The AUC was 0.719 (95% CI: 0.600-0.837, P = 0.001), with a sensitivity of 70.00% and specificity of 65.20% in the validation cohort.
conclusionsA model incorporating H3Cit, IL-8 and CRP has an excellent prediction ability for ICI response; thus, patients with a lower "risk score" selectively benefit from ICI treatment, which may have significant clinical implications for the early detection of an ICI response.
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