Evidence map›Paper›PMID 38492056›Full record

ArticleClinical and experimental medicine2024

Use of tryptic peptide MALDI mass spectrometry imaging to identify the spatial proteomic landscape of colorectal cancer liver metastases.

Celine Man Ying Li, Matthew T Briggs, Yea-Rin Lee, Teresa Tin, Clifford Young, John Pierides, Gurjeet Kaur, Paul Drew, Guy J Maddern, Peter Hoffmann and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical and experimental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. AlRSC advances · 2026
    Article
  4. Review
  5. MALDI spatial proteomics: a mini review of approaches and techniques.Analytical methods : advancing methods and applications · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. 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

12 authors at 6 institutions in 2 countries.

Celine Man Ying Li *Discipline of Surgery, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia.
Matthew T Briggs *Clinical and Health Sciences, University of South Australia, Adelaide, SA, 5000, Australia.
Yea-Rin LeeClinical and Health Sciences, University of South Australia, Adelaide, SA, 5000, Australia.
Teresa TinThe Basil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Adelaide, SA, 5011, Australia.
Clifford YoungClinical and Health Sciences, University of South Australia, Adelaide, SA, 5000, Australia.
John PieridesSA Pathology, Royal Adelaide Hospital, Adelaide, SA, 5000, Australia.
Gurjeet KaurInstitute for Research in Molecular Medicine, University Sains Malaysia, 11800, Pulau Pinang, Malaysia.
Paul DrewDiscipline of Surgery, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia.
Guy J MaddernDiscipline of Surgery, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia.
Peter HoffmannClinical and Health Sciences, University of South Australia, Adelaide, SA, 5000, Australia.
Manuela Klingler-HoffmannClinical and Health Sciences, University of South Australia, Adelaide, SA, 5000, Australia. manuela.klingler-hoffmann@unisa.edu.au.
Kevin FenixDiscipline of Surgery, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia. kevin.fenix@adelaide.edu.au.
University of South Australia · AUBasil Hetzel Institute · AUQueen Elizabeth Hospital · AUSouth Australia Pathology · AUThe University of Adelaide · AUUniversiti Sains Malaysia · MY

Funding

Cancer Council SA Beat Cancer Infrastructure GrantThe Hospital Research Foundation Group Matched Infrastructure Support GrantUniversity of Adelaide Postgraduate Research Scholarship
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the second leading cause of cancer-related deaths worldwide. CRC liver metastases (CRLM) are often resistant to conventional treatments, with high rates of recurrence. Therefore, it is crucial to identify biomarkers for CRLM patients that predict cancer progression. This study utilised matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) in combination with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to spatially map the CRLM tumour proteome. CRLM tissue microarrays (TMAs) of 84 patients were analysed using tryptic peptide MALDI-MSI to spatially monitor peptide abundances across CRLM tissues. Abundance of peptides was compared between tumour vs stroma, male vs female and across three groups of patients based on overall survival (0-3 years, 4-6 years, and 7+ years). Peptides were then characterised and matched using LC-MS/MS. A total of 471 potential peptides were identified by MALDI-MSI. Our results show that two unidentified m/z values (1589.876 and 1092.727) had significantly higher intensities in tumours compared to stroma. Ten m/z values were identified to have correlation with biological sex. Survival analysis identified three peptides (Histone H4, Haemoglobin subunit alpha, and Inosine-5'-monophosphate dehydrogenase 2) and two unidentified m/z values (1305.840 and 1661.060) that were significantly higher in patients with shorter survival (0-3 years relative to 4-6 years and 7+ years). This is the first study using MALDI-MSI, combined with LC-MS/MS, on a large cohort of CRLM patients to identify the spatial proteome in this malignancy. Further, we identify several protein candidates that may be suitable for drug targeting or for future prognostic biomarker development.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsChromatography, LiquidFemaleHumansMalePeptidesProteomeProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTandem Mass SpectrometryPeptidesProteomeBiomarkersColorectal cancerColorectal cancer liver metastasisDrug targetsLC-MS/MSMALDI-MSI

Identifiers

PMID38492056
PMCPMC10944452
OpenAlexW4392880162

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.