Evidence map›Paper›PMID 37983936›Full record

ArticleClinical and translational medicine2023

CKAP4 and mutant p53 cooperatively abrogate cell cycle checkpoint to induce genotoxic resistance in ovarian cancer.

Canhua Huang, Wei Zhao, Qian Hao, Jianchun Chen, Lisha Wu, Wenqing Yang, Hua Lu, Yu Zhang, Xiang Zhou

Open access · goldAbstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical and translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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 4 institutions in 3 countries.

Canhua HuangFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Wei ZhaoFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Qian HaoFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Jianchun ChenDepartment of Neurosurgery, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China.
Lisha WuDepartment of Gynecology, Xiangya Hospital, Central South University, Changsha, China.
Wenqing YangDepartment of Gynecology, Xiangya Hospital, Central South University, Changsha, China.
Hua LuDepartment of Biochemistry and Molecular Biology and Tulane Cancer Center, Tulane University School of Medicine, New Orleans, Louisiana, USA.
Yu ZhangDepartment of Gynecology, Xiangya Hospital, Central South University, Changsha, China.
Xiang ZhouFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.ORCID 0000-0002-1172-7948
Shanghai Medical College of Fudan University · CNCentral South University · CNSecond Military Medical University · CNTulane University · US

Funding

National Natural Science Foundation of China 81874053National Natural Science Foundation of China 82072879National Natural Science Foundation of China 82073323National Natural Science Foundation of China 82173022National Natural Science Foundation of China 82273098Natural Science Foundation of Hunan Province 2021JJ31106
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Ovarian NeoplasmsTumor Suppressor Protein p53Cell Cycle CheckpointsDNA DamageFemaleHumansMembrane ProteinsCKAP4 protein, humanMembrane ProteinsTumor Suppressor Protein p53

Identifiers

PMID37983936
PMCPMC10659766
OpenAlexW4388870554

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.