Evidence map›Paper›PMID 39125653›Full record

ReviewInternational journal of molecular sciences2024

New Target(s) for RNF43 Regulation: Implications for Therapeutic Strategies.

Jeetendra Kumar Nag, Priyanga Appasamy, Hodaya Malka, Shoshana Sedley, Rachel Bar-Shavit

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Ubiquitination and NOncology letters · 2026
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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

5 authors.

Jeetendra Kumar NagSharett Institute of Oncology, Hadassah Medical Center, Hebrew University, Jerusalem 91120, Israel.
Priyanga AppasamySharett Institute of Oncology, Hadassah Medical Center, Hebrew University, Jerusalem 91120, Israel.
Hodaya MalkaSharett Institute of Oncology, Hadassah Medical Center, Hebrew University, Jerusalem 91120, Israel.
Shoshana SedleySharett Institute of Oncology, Hadassah Medical Center, Hebrew University, Jerusalem 91120, Israel.ORCID 0000-0003-3608-1255
Rachel Bar-ShavitSharett Institute of Oncology, Hadassah Medical Center, Hebrew University, Jerusalem 91120, Israel.ORCID 0000-0003-1162-9974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cells depend on specific oncogenic pathways or present a genetic alteration that leads to a particular disturbance. Still, personalized and targeted biological therapy remains challenging, with current efforts generally yielding disappointing results. Carefully assessing onco-target molecular pathways can, however, potently assist with such efforts for the selection of patient populations that would best respond to a given drug treatment. RNF43, an E3 ubiquitin ligase that negatively regulates Wnt/frizzled (FZD) receptors by their ubiquitination, internalization, and degradation, controls a key pathway in cancer. Recently, additional target proteins of RNF43 were described, including p85 of the PI3K/AKT/mTOR signaling pathway and protease-activated receptor 2 (PAR

Indexed as

NeoplasmsUbiquitin-Protein LigasesAnimalsAntineoplastic AgentsFrizzled ReceptorsHumansMolecular Targeted TherapyMutationPhosphatidylinositol 3-KinasesReceptor, PAR-2Signal TransductionTOR Serine-Threonine KinasesUbiquitinationAntineoplastic AgentsFrizzled ReceptorsPhosphatidylinositol 3-KinasesReceptor, PAR-2RNF43 protein, humanTOR Serine-Threonine KinasesUbiquitin-Protein Ligasescolon cancerG-protein-coupled receptors (GPCRs)protease-activated receptors (PARs)proteasesRNF43/ZNRF3β-catenin stabilization

Identifiers

PMID39125653
PMCPMC11311281

What OpenQuestion holds

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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.