Evidence map›Paper›PMID 35170250›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Fusobacterium nucleatum Promotes Colorectal Cancer Cell to Acquire Stem Cell-Like Features by Manipulating Lipid Droplet-Mediated Numb Degradation.

Haiyang Liu, Junfeng Du, Shanshan Chao, Shuoguo Li, Huiyun Cai, Hongjie Zhang, Gang Chen, Pingsheng Liu, Pengcheng Bu

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Global research trends inFrontiers in cellular and infection microbiology · 2026
    Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Myeloid-Specific Deletion ofBiomedicines · 2026
    Article
  10. Review
  11. Article
  12. The metabolic profiles of cancer stem cells.Stem cell research & therapy · 2026
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. 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

9 authors at 2 institutions in 1 country.

Haiyang LiuKey Laboratory of RNA Biology, Key Laboratory of Protein and Peptide Pharmaceutical, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Junfeng DuDepartment of General Surgery, the 7th Medical Center, Chinese PLA General Hospital, Beijing, 100700, China.
Shanshan ChaoKey Laboratory of RNA Biology, Key Laboratory of Protein and Peptide Pharmaceutical, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Shuoguo LiCenter for Biological Imaging, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Huiyun CaiDepartment of General Surgery, the 7th Medical Center, Chinese PLA General Hospital, Beijing, 100700, China.
Hongjie ZhangThe core facility, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Gang ChenDepartment of General Surgery, the 7th Medical Center, Chinese PLA General Hospital, Beijing, 100700, China.
Pingsheng LiuNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Pengcheng BuKey Laboratory of RNA Biology, Key Laboratory of Protein and Peptide Pharmaceutical, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.ORCID 0000-0002-3208-0354
Chinese Academy of Sciences · CNChinese PLA General Hospital · CN

Funding

CAS YSBR-014Chinese Ministry of Science and Technology 2017YFA0504103National Natural Science Foundation of China 31771513National Natural Science Foundation of China 81571563National Natural Science Foundation of China 81870393National Natural Science Foundation of China 81921003National Natural Science Foundation of China 81972797National Natural Science Foundation of China 82000812Strategic Priority Research Program of the Chinese Academy of Sciences XDB29040100
6 · The paper itself

Abstract

Fusobacterium nucleatum is a critical microbe that contributes to colorectal cancer progression and chemoresistance. However, whether and how F. nucleatum regulates colorectal cancer stem-like cells (CCSCs) remains unknown. Here, the authors show that F. nucleatum promotes CCSC self-renewal, and non-CCSCs to acquire CCSC features by manipulating cellular lipid accumulation. F. nucleatum infection decreases lipid accumulation in CCSCs by enhancing fatty acid oxidation, thus promoting CCSC self-renewal. In contrast, F. nucleatum increases lipid accumulation in non-CCSCs by promoting fatty acid formation. Lipids are deposited as lipid droplets, which recruits Numb, a key cell fate regulator, through the AP2A/ACSL3 complex, and MDM2, an E3 ubiquitin ligase, though VCP and UBXD8. On lipid droplets, Numb is degraded by MDM2, activating Notch signaling, thus promoting gain of stem-like cell features. Their findings demonstrate that F. nucleatum directly manipulates colorectal cancer cell fate and reveal the mechanism of lipid droplet-mediated Numb degradation for activating Notch signaling.

Indexed as

Colorectal NeoplasmsFusobacterium InfectionsFatty AcidsFusobacterium nucleatumHumansLipid DropletsLipidsMembrane ProteinsNerve Tissue ProteinsStem CellsFatty AcidsLipidsMembrane ProteinsNerve Tissue ProteinsNUMB protein, humancolorectal cancercolorectal cancer stem-like cellsFusobacterium nucleatumlipid dropletsnumb

Identifiers

PMID35170250
PMCPMC9035998
OpenAlexW4212769898

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.