Evidence map›Paper›PMID 40603632›Full record

ArticleNpj imaging2024

MALDI imaging combined with two-photon microscopy reveals local differences in the heterogeneity of colorectal cancer.

Arora Bharti, Kulkarni Ajinkya, Markus M Andrea, Ramos-Gomes Fernanda, Bohnenberger Hanibal, Ströbel Philipp, Alves Frauke, Klein Oliver

Abstract read
In one paragraph

Article in Npj imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. MALDI spatial proteomics: a mini review of approaches and techniques.Analytical methods : advancing methods and applications · 2026
    Review
  5. Article
  6. Brillouin microscopy in cancer research: a review.Journal of biomedical optics · 2025
    Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Arora BhartiTranslational Molecular Imaging, Max-Planck-Institute for Multidisciplinary Sciences, Hermann Rein ‑Straße 3, 37075, Göttingen, Germany.
Kulkarni AjinkyaTranslational Molecular Imaging, Max-Planck-Institute for Multidisciplinary Sciences, Hermann Rein ‑Straße 3, 37075, Göttingen, Germany.
Markus M AndreaTranslational Molecular Imaging, Max-Planck-Institute for Multidisciplinary Sciences, Hermann Rein ‑Straße 3, 37075, Göttingen, Germany.
Ramos-Gomes FernandaTranslational Molecular Imaging, Max-Planck-Institute for Multidisciplinary Sciences, Hermann Rein ‑Straße 3, 37075, Göttingen, Germany.
Bohnenberger HanibalInstitute of Pathology, University Medical Center Göttingen, Robert-Koch-Straβe 40, 37075, Göttingen, Germany.
Ströbel PhilippInstitute of Pathology, University Medical Center Göttingen, Robert-Koch-Straβe 40, 37075, Göttingen, Germany.
Alves Frauke *Translational Molecular Imaging, Max-Planck-Institute for Multidisciplinary Sciences, Hermann Rein ‑Straße 3, 37075, Göttingen, Germany. falves@gwdg.de.
Klein Oliver *Berlin Institute of Health at Charité - Universitaetsmedizin Berlin, Core Unit Imaging Mass Spectrometry, 13353, Berlin, Germany. oliver.klein@bih-charite.de.

Funding

H2020 Marie Skłodowska-Curie Actions 857894Niedersächsisches Ministerium für Wissenschaft und Kultur Agile, bio-inspired architectures (ABA)
6 · The paper itself

Abstract

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, accentuated by its heterogeneity and complex tumour microenvironment (TME). The role of TME on tumour pathophysiology is pivotal, especially the influence of components of the extracellular matrix (ECM), such as collagen. We introduce a novel multimodal imaging strategy to unravel the complex spatial heterogeneity of CRC by integrating the imaging features from two-photon laser scanning microscopy (2PLSM) and histology with proteomics signatures from matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI MSI). Our study is the first to correlate the structural coherence of collagen fibres and the nuclei distribution profile of tumour tissue with the peptide signatures, offering insights into the proteomic landscape of CRC within regions of high nuclei distribution (HND), as well as chaotic and organised regions of collagen. We use this approach to distinguish the patient tissues originating from left-sided colorectal cancer (LSCC) and from right-sided colorectal cancer (RSCC). This discriminative signature highlights the role of high nuclei distribution and collagen architecture in tumour progression. Complementary m/z values of several proteins associated to components of ECM, such as plectin, vinculin, vimentin, and myosin, have shown differentially intensity distributions between LSCC and RSCC. Our findings demonstrate the potential of combining structural information with peptide features to identify molecular signatures in different tumour regions and retrieve new insights into CRC pathophysiology.

Identifiers

PMID40603632
PMCPMC12118716

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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.