ArticleCancers2020
Metabolomics to Assess Response to Immune Checkpoint Inhibitors in Patients with Non-Small-Cell Lung Cancer.
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 2 of them syntheses that pooled it.
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.
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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
88 citing papers in PubMed, 2 syntheses or guidelines pooled it, 133 citations in OpenAlex.
- Emerging biomarkers for non-invasive diagnosis and treatment of cancer: a systematic review.Frontiers in oncology · 2024Pooled it
- Prognostic impact of prognostic nutritional index on renal cell carcinoma: A meta-analysis of 7,629 patients.PloS one · 2022Pooled it
- Metabolic determinants of cancer immunotherapy outcomes identified by plasma profiling.Nature medicine · 2026Article
- Recent Trends in Metabolomics by NMR Spectroscopy.Angewandte Chemie (International ed. in English) · 2026Review
- Two decades of research on drug resistance in renal cell carcinoma.Discover oncology · 2026Article
- Comprehensive analysis of ATF3 as a diagnostic and prognostic biomarker from pan-cancer to clear cell renal cell carcinoma.Discover oncology · 2026Article
- Integrated metabolomics and transcriptomics analysis unveils key metabolic pathways and potential biomarkers in clear cell renal cell carcinoma.Discover oncology · 2026Article
- A multi-omics prognostic model and functional validation ofTranslational andrology and urology · 2026Article
- Article
- Identification of predictive biomarkers for nivolumab efficacy in non-small cell lung cancer through integrated serum lipidomics and proteomics analysis.Frontiers in immunology · 2026Article
- Multi-omics biomarkers for predicting resistance, hyperprogression, and immune-related toxicity during PD-1/PD-L1 therapy in lung cancer: a literature review.Frontiers in immunology · 2026Review
- Cuproptosis-related gene DLD expression correlates with the prognosis and tumor immune microenvironment in clear cell renal cell carcinoma.Discover oncology · 2025Article
- PLAUR, C3, and EMP3 coordinate tumor progression and immune evasion in clear cell renal cell carcinoma.Discover oncology · 2025Article
- Mitochondrial energy metabolism genes as prognostic biomarkers in clear cell renal cell carcinoma via single-cell and bulk RNA sequencing analyses.Discover oncology · 2025Article
- Development and validation of mitochondrial metabolism-related genes in the prognostic and immunological characterization of clear cell renal cell carcinoma.Clinical and experimental medicine · 2025Article
- Integrated bioinformatics analysis reveals novel PANoptosis biomarkers and therapeutic response in clear cell renal cell carcinoma.Clinical and experimental medicine · 2025Article
- hsa-miR-21-5p can serve as a standard biomarker in clear cell renal cell carcinoma by promoting tumor progression and influencing immune evasion.Discover oncology · 2025Article
- Immunometabolism: The role of gut-derived microbial metabolites in optimising immune response during checkpoint inhibitor therapy.Clinical and translational medicine · 2025Review
- Nanomedicine strategies for cuproptosis: Metabolic reprogramming and tumor immunotherapy.Acta pharmaceutica Sinica. B · 2025Review
- Article
28 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the treatment of advanced non-small cell lung cancer (NSCLC), immune checkpoint inhibitors have shown remarkable results. However, not all patients with NSCLC respond to this drug treatment or receive durable benefits. Thus, patient stratification and selection, as well as the identification of predictive biomarkers, represent pivotal aspects to address. In this framework, metabolomics can be used to support the discrimination between responders and non-responders. Here, metabolomics was used to analyze the sera samples from 50 patients with NSCL treated with immune checkpoint inhibitors. All the samples were collected before the beginning of the treatment and were analyzed by NMR spectroscopy and multivariate statistical analyses. Significantly, we show that the metabolomic fingerprint of serum acts as a predictive "collective" biomarker to immune checkpoint inhibitors response, being able to predict individual therapy outcome with > 80% accuracy. Metabolomics represents a potential strategy for the real-time selection and monitoring of patients treated with immunotherapy. The prospective identification of responders and non-responders could improve NSCLC treatment and patient stratification, thus avoiding ineffective therapeutic strategies.
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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 OpenQuestion graph.