Evidence map›Paper›PMID 36246809›Full record

ArticleWorld journal of clinical cases2022

Effects of targeted-edited oncogenic insulin-like growth factor-1 receptor with specific-sgRNA on biological behaviors of HepG2 cells.

Min Yao, Yin Cai, Zhi-Jun Wu, Ping Zhou, Wen-Li Sai, De-Feng Wang, Li Wang, Deng-Fu Yao

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 86% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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

8 authors at 2 institutions in 1 country.

Min YaoResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China.
Yin CaiDepartment of Oncology, Xinghua People's Hospital, Xinghua 225700, Jiangsu Province, China.
Zhi-Jun WuDepartment of Oncology, Affiliated Nantong Rehabilitation Hospital of Nantong University, Nantong 226002, Jiangsu Province, China.
Ping ZhouDepartment of Medical Immunology, Medical School of Nantong University, Nantong 226001, Jiangsu Province, China.
Wen-Li SaiResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China.
De-Feng WangResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China.
Li WangResearch Center for Intelligent Information Technology, Nantong University, Nantong 226019, Jiangsu Province, China.
Deng-Fu YaoResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China. yaodf@ahnmc.com.
Affiliated Hospital of Nantong University · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin-like growth factor-1 receptor (IGF-1R) is over-expressed in hepatocellular carcinoma (HCC). However, the relationship between

aimTo investigate the effects of editing

methodsImmunohistochemistry analyzed the expressions of IGF-1R and P-glyco protein (P-gp) in HCC tissues and their distal non-cancerous tissues (non-Ca).

resultsThe positive rates of IGF-1R (93.6%,

conclusionEdited oncogenic

Indexed as

Biological behaviorsGrowth inhibitionHepatocellular carcinomaInsulin-like growth factor-1 receptorMultidrug resistanceSynergistic effects

Identifiers

PMID36246809
PMCPMC9561564
OpenAlexW4297121285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.