ReviewCancer reports (Hoboken, N.J.)2019
Mass spectrometry imaging to detect lipid biomarkers and disease signatures in cancer.
Review in Cancer reports (Hoboken, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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
34 citing papers in PubMed.
- The role of tumor metabolic reprogramming in acquired anti-PD-1/PD-L1 resistance.Translational lung cancer research · 2026Review
- Spatial Detection of Microsphere Polystyrene Plastics and Molecular Remodeling within a Full-Body Mouse with MALDI Trapped Ion Mobility Mass Spectrometry Imaging.Angewandte Chemie (International ed. in English) · 2026Article
- Ambient high-spatial-resolution mass spectrometry imaging: recent advances in technologies and metabolomics studies.Trends in analytical chemistry : TRAC · 2026Article
- Rapid Cold Fixation of Mouse Colon (Col'RFix) Enables High-Resolution Mass Spectrometry Imaging.Analytical chemistry · 2026Article
- Mathematical Framework for Quantifying Delocalization in MALDI-MSI via a Composite Scoring Approach.ACS measurement science au · 2026Article
- The MALDI Method to Analyze the Lipid Profile, Including Cholesterol, Triglycerides and Other Lipids.Current issues in molecular biology · 2026Review
- Matrix-Assisted Laser Desorption/Ionization Imaging Mass Spectrometry.Nature reviews. Methods primers · 2026Article
- Targeting Lipid Metabolic Reprogramming to Overcome Immunotherapy Resistance: Systemic Nutritional Modulation and Precision Nanomedicine.International journal of nanomedicine · 2026Review
- Review
- Innovative Application of a Multifunctional Sucrose-Gelatin Hydrogel Matrix in Desorption Electrospray Ionization-Mass Spectrometry Imaging.Analytical chemistry · 2025Article
- Effects of polyunsaturated fatty acids on gastric cancer immunity and immunotherapy.Scientific reports · 2025Article
- Updated Progress on Mass Spectrometry Imaging and its Application in Cancer Treatment and Drug Discovery.Recent patents on anti-cancer drug discovery · 2025Review
- Quantitative mass spectrometry imaging: therapeutics & biomolecules.Chemical communications (Cambridge, England) · 2024Review
- Application of multi-omics in the study of traditional Chinese medicine.Frontiers in pharmacology · 2024Review
- Article
- Comparative analysis of sucrose-embedding for whole-body zebrafish MSI by IR-MALDESI.Analytical and bioanalytical chemistry · 2023Article
- Lipid Biomarker Research in Bipolar Disorder: A Scoping Review of Trends, Challenges, and Future Directions.Biological psychiatry global open science · 2023Article
- Mass Spectrometry Imaging of Biomaterials.Materials (Basel, Switzerland) · 2023Review
- Mass spectrometry-based proteomics as an emerging tool in clinical laboratories.Clinical proteomics · 2023Review
- Promise of spatially resolved omics for tumor research.Journal of pharmaceutical analysis · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundCurrent methods to identify, classify, and predict tumor behavior mostly rely on histology, immunohistochemistry, and molecular determinants. However, better predictive markers are required for tumor diagnosis and evaluation. Due, in part, to recent technological advancements, metabolomics and lipid biomarkers have become a promising area in cancer research. Therefore, there is a necessity for novel and complementary techniques to identify and visualize these molecular markers within tumors and surrounding tissue. RECENT
findingsSince its introduction, mass spectrometry imaging (MSI) has proven to be a powerful tool for mapping analytes in biological tissues. By adding the label-free specificity of mass spectrometry to the detailed spatial information of traditional histology, hundreds of lipids can be imaged simultaneously within a tumor. MSI provides highly detailed lipid maps for comparing intra-tumor, tumor margin, and healthy regions to identify biomarkers, patterns of disease, and potential therapeutic targets. In this manuscript, recent advancement in sample preparation and MSI technologies are discussed with special emphasis on cancer lipid research to identify tumor biomarkers.
conclusionMSI offers a unique approach for biomolecular characterization of tumor tissues and provides valuable complementary information to histology for lipid biomarker discovery and tumor classification in clinical and research cancer applications.
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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.