ArticleMolecular oncology2014
Chemical mapping of the colorectal cancer microenvironment via MALDI imaging mass spectrometry (MALDI-MSI) reveals novel cancer-associated field effects.
Article in Molecular oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 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
51 citing papers in PubMed, 123 citations in OpenAlex.
- Tissue spray ionization mass spectrometry for rapid recognition of human lung squamous cell carcinoma.Scientific reports · 2015Trial
- Integrated Spatial and Bulk Untargeted Metabolomics Characterize Location- and Histology-Associated Metabolic Heterogeneity in Colorectal Cancer.Journal of proteome research · 2026Article
- MSIDAT: an automated platform for improved metabolite annotation in mass spectrometry imaging via mass shift evaluation and customized databases.Analytical and bioanalytical chemistry · 2026Article
- Proof of Concept for a Controlled Raman-Compatible Skin-Mimicking Hydrogel Substrate for Chemical Imaging Technique Development.Molecules (Basel, Switzerland) · 2026Article
- Development of a High-Throughput UHPLC-DMS-MS/MS Method for Targeted Quantitation of Pertinent Phospholipid Classes in Colon Cancer.Molecules (Basel, Switzerland) · 2026Article
- Fourier transform mid-infrared imaging and rapid evaporative ionization mass spectrometry imaging in FFPE colorectal adenocarcinoma samples.Pathologie (Heidelberg, Germany) · 2026Review
- Review
- Evaluating Biocompatibility: From Classical Techniques to State-of-the-Art Functional Proteomics.Nanomaterials (Basel, Switzerland) · 2025Review
- Identification of Phospholipids Relevant to Cancer Tissue Using Differential Ion Mobility Spectrometry.International journal of molecular sciences · 2024Article
- Highly Sensitive Spatial Glycomics at Near-Cellular Resolution by On-Slide Derivatization and Mass Spectrometry Imaging.Analytical chemistry · 2024Article
- Sulfatide imaging identifies tumor cells in colorectal cancer peritoneal metastases.Cancer & metabolism · 2024Article
- Is Lipid Metabolism of Value in Cancer Research and Treatment? Part I- Lipid Metabolism in Cancer.Metabolites · 2024Review
- Male-Biased Gut Microbiome and Metabolites Aggravate Colorectal Cancer Development.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Spatial Lipidomic Profiling of Mouse Joint Tissue Demonstrates the Essential Role of PHOSPHO1 in Growth Plate Homeostasis.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2023Article
- Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice.Proteomes · 2023Review
- Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- Lipidomic comparison of 2D and 3D colon cancer cell culture models.Journal of mass spectrometry : JMS · 2022Article
- Reprogrammed Lipid Metabolism and the Lipid-Associated Hallmarks of Colorectal Cancer.Cancers · 2022Review
- Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma.BMC cancer · 2022Article
- Lipid Metabolism Interplay in CRC-An Update.Metabolites · 2022Review
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 at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Matrix-assisted laser desorption ionisation imaging mass spectrometry (MALDI-MSI) is a rapidly advancing technique for intact tissue analysis that allows simultaneous localisation and quantification of biomolecules in different histological regions of interest. This approach can potentially offer novel insights into tumour microenvironmental (TME) biochemistry. In this study we employed MALDI-MSI to evaluate fresh frozen sections of colorectal cancer (CRC) tissue and adjacent healthy mucosa obtained from 12 consenting patients undergoing surgery for confirmed CRC. Specifically, we sought to address three objectives: (1) To identify biochemical differences between different morphological regions within the CRC TME; (2) To characterise the biochemical differences between cancerous and healthy colorectal tissue using MALDI-MSI; (3) To determine whether MALDI-MSI profiling of tumour-adjacent tissue can identify novel metabolic 'field effects' associated with cancer. Our results demonstrate that CRC tissue harbours characteristic phospholipid signatures compared with healthy tissue and additionally, different tissue regions within the CRC TME reveal distinct biochemical profiles. Furthermore we observed biochemical differences between tumour-adjacent and tumour-remote healthy mucosa. We have referred to this 'field effect', exhibited by the tumour locale, as cancer-adjacent metaboplasia (CAM) and this finding builds on the established concept of field cancerisation.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.