Evidence map›Paper›PMID 35519377›Full record

ArticleRSC advances2019

Evaluation of anti-EGFR-iRGD recombinant protein with GOLD nanoparticles: synergistic effect on antitumor efficiency using optimized deep neural networks.

Aman Chandra Kaushik, Yan-Jing Wang, Xiangeng Wang, Ajay Kumar, Satya P Singh, Cheng-Tang Pan, Yow-Ling Shiue, Dong-Qing Wei

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 3 institutions in 5 countries.

Aman Chandra KaushikThe State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University Shanghai 200240 China amanbioinfo@sjtu.edu.cn dqwei@sjtu.edu.cn.
Yan-Jing WangThe State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University Shanghai 200240 China amanbioinfo@sjtu.edu.cn dqwei@sjtu.edu.cn.
Xiangeng WangThe State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University Shanghai 200240 China amanbioinfo@sjtu.edu.cn dqwei@sjtu.edu.cn.
Ajay KumarInstitute of Biomedical Sciences, National Sun Yat-Sen University Kaohsiung City 804 Taiwan shirley@imst.nsysu.edu.tw.
Satya P SinghSchool of Electrical and Electronic Engineering, Nanyang Technological University Singapore.
Cheng-Tang PanDepartment of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University Kaohsiung City 804 Taiwan pan@mem.nsysu.edu.tw.
Yow-Ling ShiueInstitute of Biomedical Sciences, National Sun Yat-Sen University Kaohsiung City 804 Taiwan shirley@imst.nsysu.edu.tw.
Dong-Qing WeiThe State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University Shanghai 200240 China amanbioinfo@sjtu.edu.cn dqwei@sjtu.edu.cn.ORCID https://orcid.org/0000-0002-6770-7102
Shanghai Jiao Tong University · CNNational Sun Yat-sen University · TWNanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidermal growth factor receptor, also known as EGFR, is a tyrosine kinase receptor commonly found in epithelial tumors. As part of the first target for cancer treatment, EGFR has been the subject of intense research for more than 20 years; as a result, there are a number of anti-EGFR agents currently available. More recently, with our basic understanding of mechanisms related to receptor activation and function, both the secondary and primary forms of EGFR somatic mutations have led to the discovery of new anti-EGFR agents aimed at providing new insights into the clinical targeting of this receptor and possibly acting as an ideal model for developing strategies to target other types of receptors. In this study, we use genomic pattern to prove that

Identifiers

PMID35519377
PMCPMC9065452
OpenAlexW2949137936

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.