Evidence map›Paper›PMID 39825568›Full record

ArticleMolecular oncology2025

Consensus molecular subtyping of colorectal carcinoma brain metastases reveals a metabolic signature associated with poor patient survival.

Barnabas Irmer, Darius Wlochowitz, Carolin Krekeler, Katharina Maria Richter, Suganja Chandrabalan, Michaela Bayerlova, Alexander Wolff, Georg Lenz, Lena-Christin Conradi, Hans-Ulrich Schildhaus and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

21 authors.

Barnabas IrmerDepartment of Medicine A, Hematology, Oncology and Pneumology, University of Münster, Germany.ORCID https://orcid.org/0000-0003-2395-3245
Darius WlochowitzDepartment of Medical Bioinformatics, University Medical Center Göttingen, Germany.
Carolin KrekelerDepartment of Medicine A, Hematology, Oncology and Pneumology, University of Münster, Germany.
Katharina Maria RichterDepartment of Medicine A, Hematology, Oncology and Pneumology, University of Münster, Germany.
Suganja ChandrabalanDepartment of Medicine A, Hematology, Oncology and Pneumology, University of Münster, Germany.
Michaela BayerlovaDepartment of Medical Bioinformatics, University Medical Center Göttingen, Germany.
Alexander WolffDepartment of Medical Bioinformatics, University Medical Center Göttingen, Germany.
Georg LenzDepartment of Medicine A, Hematology, Oncology and Pneumology, University of Münster, Germany.
Lena-Christin ConradiDepartment of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Germany.
Hans-Ulrich SchildhausDepartment of Pathology, University Medical Center Göttingen, Germany.
Christine StadelmannDepartment of Neuropathology, University Medical Center Göttingen, Germany.
Veit RohdeDepartment of Neurosurgery, University Medical Center Göttingen, Germany.
Martin ProescholdtDepartment of Neurosurgery, University Medical Center Regensburg, Germany.
Gabriela SalinasNGS Integrative Genomics Core Unit, Institute of Pathology, University Medical Center Göttingen, Germany.
Kia HomayounfarDepartment of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Germany.
Tanja KuhlmannInstitute for Neuropathology, University Hospital Münster, Germany.
Stephan HailfingerDepartment of Medicine A, Hematology, Oncology and Pneumology, University of Münster, Germany.
Tobias PukropDepartment of Neurosurgery, University Medical Center Regensburg, Germany.
Kerstin MenckDepartment of Medicine A, Hematology, Oncology and Pneumology, University of Münster, Germany.ORCID https://orcid.org/0000-0002-8188-0163
Tim BeissbarthDepartment of Medical Bioinformatics, University Medical Center Göttingen, Germany.
Annalen BleckmannDepartment of Medicine A, Hematology, Oncology and Pneumology, University of Münster, Germany.ORCID https://orcid.org/0000-0001-5809-9507

Funding

Bundesministerium für Bildung und Forschung - MetastaSys 0316173DFG TRR305-B03DFG - Clinician Scientist CareerS Münster 493624047MyPathSem 031L0024AOpen Access Publication Fund of the University of MünsterPermiCCion 01KD2101F
6 · The paper itself

Abstract

The transcriptomic classification of primary colorectal cancer (CRC) into distinct consensus molecular subtypes (CMSs) is a well-described strategy for patient stratification. However, the molecular nature of CRC metastases remains poorly investigated. To this end, this study aimed to identify and compare organotropic CMS frequencies in CRC liver and brain metastases. Compared to reported CMS frequencies in primary CRC, liver metastases from CRC patients were CMS4-enriched and CMS3-depleted, whereas brain metastases mainly clustered as CMS3 and rarely as CMS4. Regarding overall survival rates, CMS4 was the most favorable subtype for patients with hepatic lesions, followed by CMS1 and CMS2. The survival of patients with brain metastases did not correlate with CMS. However, we identified a CMS3-related metabolic gene signature, specifically upregulated in central nervous system (CNS)-infiltrating CRC, as a negative prognostic marker and potential tumor progressor. In summary, subtyping of CRC metastases revealed an organotropic CMS distribution in liver and brain with impact on patient survival. CNS-infiltrating CRC samples were enriched for CMS3 and predictive metabolic biomarkers, suggesting metabolic dysregulation of CRC cells as a prerequisite for metastatic colonization of the brain.

Indexed as

Brain NeoplasmsColorectal NeoplasmsBiomarkers, TumorConsensusFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiver NeoplasmsMaleMiddle AgedPrognosisBiomarkers, Tumorbiomarkerbrain metastasisCMScolorectal cancermetabolismRNA‐sequencing

Identifiers

PMID39825568
PMCPMC11887667

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.