ArticleOncology letters2018
Global lipidomics reveals two plasma lipids as novel biomarkers for the detection of squamous cell lung cancer: A pilot study.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis 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.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Decreased sphingomyelin (t34:1) is a candidate predictor for lung squamous cell carcinoma recurrence after radical surgery: a case-control study.BMC cancer · 2021Pooled it
- Integrative Mendelian randomization and spatial transcriptomics analysis reveals causal links between plasma lipidome and non-small cell lung cancer.Discover oncology · 2025Article
- Lipidomics reveals biomarkers of the efficacy of first-line ICI therapy combined with chemotherapy in NSCLC.Journal of translational medicine · 2025Article
- Sphingolipid metabolism dysregulation: A cause for lung cancer development, progression, and resistance to therapies.Chinese medical journal pulmonary and critical care medicine · 2025Review
- Exploring the genetic causal inference between plasma lipidome and lung carcinoma: a bidirectional mendelian randomization study.Discover oncology · 2025Article
- Integration of clinical phenoms and metabolomics facilitates precision medicine for lung cancer.Cell biology and toxicology · 2024Article
- Salivary Lipids of Patients with Non-Small Cell Lung Cancer Show Perturbation with Respect to Plasma.International journal of molecular sciences · 2023Article
- Mitochondria-derived small RNAs as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology.Genes & diseases · 2023Article
- The Landscape of Lipid Metabolism in Lung Cancer: The Role of Structural Profiling.Journal of clinical medicine · 2023Article
- Applications of Lipidomics in Tumor Diagnosis and Therapy.Advances in experimental medicine and biology · 2021Article
- Evaluating a targeted multiple reaction monitoring approach to global untargeted lipidomic analyses of human plasma.Rapid communications in mass spectrometry : RCM · 2020Article
- Identification of plasma lipid species as promising diagnostic markers for prostate cancer.BMC medical informatics and decision making · 2020Article
- Lipids in ultraviolet radiation-induced immune modulation.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2020Review
- Toward Complete Structure Elucidation of Glycerophospholipids in the Gas Phase through Charge Inversion Ion/Ion Chemistry.Analytical chemistry · 2020Article
- Mapping Unsaturation in Human Plasma Lipids by Data-Independent Ozone-Induced Dissociation.Journal of the American Society for Mass Spectrometry · 2019Article
- Application of Lipidomics for Assessing Tissue Lipid Profiles of Patients With Squamous Cell Carcinoma.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
Abstract
Lipids are known to serve important roles in energy storage, membrane structure and signal transduction as well as in human cancers. In the present study, lipidomics was employed in order to identify plasma lipid markers for the early detection of lung cancer. Mass spectrometry was performed to profile 390 individual lipids in 44 plasma samples obtained from a training discovery cohort, which included 22 patients with squamous cell lung carcinoma (SqCC) and 22 high-risk individuals. An additional cohort that included 22 high-risk individuals and 22 patients with SqCC was further used for validation. During the training stage, a total of 20 distinct lipids that were significantly distributed between the high-risk and SqCC cases, were identified. A panel of 2 lipid markers (C18:2 cholesterol esters and sphingomyelin 22:0) were then further defined using the training accuracy values of 95.5% sensitivity, 90.9% specificity and 95.2% area under the receiver operating characteristic curve (AUC). The validation accuracy values applied for the additional cohort were 93.9% sensitivity, 92.9% specificity and 98.7% AUC. Thus, in the present study, 2 lipid markers that were able to discern SqCC patients from high-risk individuals with a high sensitivity, specificity and accuracy, were identified. These results may provide vital information for the development of a quick and safe blood test for the early diagnosis of SqCC.
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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.