Evidence map›Paper›PMID 39732659›Full record

ReviewCancer cell international2024

Novel insights into the interaction between IGF2BPs and ncRNAs in cancers.

Yaya Sun, Junjie Wu, Weimin Sun, Congxing Liu, Xin Shi

Abstract readReview
In one paragraph

Review in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Emerging roles of mJournal of assisted reproduction and genetics · 2026
    Review
  3. Review
  4. Article
  5. Decoding the role of mNeurochemistry international · 2025
    Review
  6. Article
  7. Review
  8. 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

5 authors.

Yaya SunSchool of Medicine, Southeast University, Nanjing, 210009, China.
Junjie WuSchool of Medicine, Southeast University, Nanjing, 210009, China.
Weimin SunDepartment of General Surgery, Xuyi People's Hospital, Huai'an, 211700, China. 1017850618@qq.com.
Congxing LiuDepartment of General Surgery, Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, China. 101012919@seu.edu.cn.
Xin ShiDepartment of General Surgery, Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, China. shixin@seu.edu.cn.

Funding

Zhongda Hospital Affiliated to Southeast University, Jiangsu Province High-Level Hospital Pairing Assistance Construction Funds zdyyxy19
6 · The paper itself

Abstract

Insulin-like growth factor II mRNA-binding proteins (IGF2BPs), a family of RNA-binding proteins, are pivotal in regulating RNA dynamics, encompassing processes such as localization, metabolism, stability, and translation through the formation of ribonucleoprotein complexes. First identified in 1999 for their affinity to insulin-like growth factor II mRNA, IGF2BPs have been implicated in promoting tumor malignancy behaviors, including proliferation, metastasis, and the maintenance of stemness, which are associated with unfavorable outcomes in various cancers. Additionally, non-coding RNAs (ncRNAs), particularly long non-coding RNAs, circular RNAs, and microRNAs, play critical roles in cancer progression through intricate protein-RNA interactions. Recent studies, predominantly from 2018 onward, indicate that IGF2BPs can recognize and modulate ncRNAs via N6-methyladenosine (m6A) modifications, enriching the regulatory landscape of RNA-protein interactions in the context of cancer. This review explores the latest insights into the interplay between IGF2BPs and ncRNAs, emphasizing their potential influence on cancer biology.

Indexed as

CancerCancer biologyIGF2BPsNcRNAsRibonucleoprotein complexes

Identifiers

PMID39732659
PMCPMC11682635

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.