Evidence map›Paper›PMID 37970340›Full record

ArticleAmerican journal of cancer research2023

Small-molecule exhibits anti-tumor activity by targeting the RNA m

Chang Shu, Mao-Hong Gu, Cheng Zeng, Wen-Gui Shao, Hai-Yang Li, Xin-Hua Ma, Mu-Xing Li, Yuan-Yuan Cao, Meng-Jie Zhang, Wei Zhao and 1 more

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  11. Epitranscriptomic RNA mAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  12. 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

11 authors at 2 institutions in 1 country.

Chang ShuGeneral Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University Nanjing, Jiangsu, China.
Mao-Hong GuDepartment of Obstetrics and Gynecology, Nanjing First Hospital, Nanjing Medical University Nanjing, Jiangsu, China.
Cheng ZengGeneral Clinical Research Center, Nanjing First Hospital, Nanjing Medical University Nanjing, Jiangsu, China.
Wen-Gui ShaoGeneral Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University Nanjing, Jiangsu, China.
Hai-Yang LiGeneral Clinical Research Center, Nanjing First Hospital, Nanjing Medical University Nanjing, Jiangsu, China.
Xin-Hua MaGeneral Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University Nanjing, Jiangsu, China.
Mu-Xing LiGeneral Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University Nanjing, Jiangsu, China.
Yuan-Yuan CaoGeneral Clinical Research Center, Nanjing First Hospital, Nanjing Medical University Nanjing, Jiangsu, China.
Meng-Jie ZhangGeneral Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University Nanjing, Jiangsu, China.
Wei ZhaoDepartment of Pathology, Nanjing First Hospital, Nanjing Medical University Nanjing, Jiangsu, China.
Shu-Li ZhaoGeneral Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University Nanjing, Jiangsu, China.
China Pharmaceutical University · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on its absence in normal tissues and its role in tumorigenesis and tumor progression, insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3), a reader of N6-methyladenosine (M

Indexed as

IGF2BP3inhibitorsovarian cancerRNA m6Atargeted agents

Identifiers

PMID37970340
PMCPMC10636681
OpenAlexW4388737218

What OpenQuestion holds

Textmetadata
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.