Evidence map›Paper›PMID 39246444›Full record

ArticleiScience2024

The SW480 cell line as a model of resident and migrating colon cancer stem cells.

Mathijs P Verhagen, Tong Xu, Roberto Stabile, Rosalie Joosten, Francesco A Tucci, Martin van Royen, Marco Trerotola, Saverio Alberti, Andrea Sacchetti, Riccardo Fodde

Abstract read
In one paragraph

Article in iScience, 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
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Andean Berry (Molecules (Basel, Switzerland) · 2026
    Article
  4. Reactivation of the silencedProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

10 authors.

Mathijs P VerhagenDepartment of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Tong XuDepartment of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Roberto StabileDepartment of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Rosalie JoostenDepartment of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Francesco A TucciDepartment of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Martin van RoyenDepartment of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Marco TrerotolaDepartment of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, Chieti, Italy.
Saverio AlbertiDepartment of Biomedical Sciences, University of Messina, Messina, Italy.
Andrea SacchettiDepartment of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Riccardo FoddeDepartment of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intra-tumor heterogeneity, i.e., the presence of diverse cell types and subpopulations within tumors, presents a significant obstacle in cancer treatment due to its negative consequences for resistance to therapy and disease recurrence. However, the mechanisms that underlie intra-tumor heterogeneity and result in the plethora of different cancer cells within a single lesion remain poorly understood. Here, we leverage the SW480 cell line as a model system to investigate the molecular and functional diversity of colon cancer cells. Through a combination of fluorescence-activated cell sorting (FACS) analysis and transcriptomic profiling, we identified three distinct subpopulations, namely resident cancer stem cells (rCSCs), migratory CSCs (mCSCs), and high-relapse cells (HRCs). These subpopulations show varying Wnt signaling levels and gene expression profiles mirroring their stem-like and functional properties. Examination of publicly available spatial transcriptomic data confirms the presence of these subpopulations in patient-derived cancers and reveals their distinct spatial distribution relative to the tumor microenvironment.

Indexed as

cancercell biologymolecular biologytranscriptomics

Identifiers

PMID39246444
PMCPMC11379671

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.