Evidence map›Paper›PMID 38909632›Full record

ReviewBiochimica et biophysica acta. Reviews on cancer2024

Molecular insights and clinical implications for the tumor suppressor role of SCF

Yihang Qi, Abdol-Hossein Rezaeian, Jingchao Wang, Daoyuan Huang, Hong Chen, Hiroyuki Inuzuka, Wenyi Wei

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Reviews on cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Molecular mechanism ofTranslational cancer research · 2026
    Article
  4. Review
  5. Role ofJournal of thoracic disease · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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  17. 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

7 authors.

Yihang QiDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Abdol-Hossein RezaeianDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Jingchao WangDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Daoyuan HuangDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Hong ChenVascular Biology Program, Department of Surgery, Harvard Medical School, Boston Children's Hospital, Boston, MA, USA.
Hiroyuki InuzukaDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Wenyi WeiDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA. Electronic address: wwei2@bidmc.harvard.edu.

Funding

Deciphering the physiological role and interplay between ubiquitination and phosphorylation pathways to guide targeted cancer therapiesR35CA253027 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Wenyi Wei · 2020 to 2026
$6.2M
NCI NIH HHS R35 CA253027
6 · The paper itself

Abstract

FBXW7 is one of the most well-characterized F-box proteins, serving as substrate receptor subunit of SKP1-CUL1-F-box (SCF) E3 ligase complexes. SCF

Indexed as

F-Box-WD Repeat-Containing Protein 7NeoplasmsAnimalsGene Expression Regulation, NeoplasticHumansSignal TransductionTumor Suppressor ProteinsUbiquitin-Protein LigasesF-Box-WD Repeat-Containing Protein 7FBXW7 protein, humanTumor Suppressor ProteinsUbiquitin-Protein LigasesCancerE3 ligaseFBXW7Protein degradationTumor suppressorUbiquitination

Identifiers

PMID38909632
PMCPMC11390337

What OpenQuestion holds

Textmetadata
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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.