Evidence map›Paper›PMID 35335736›Full record

ArticleNanomaterials (Basel, Switzerland)2022

The Precise Detection of HER-2 Expression in Breast Cancer Cell via Au

Xu Han, Zhesheng He, Wenchao Niu, Chunyu Zhang, Zhongying Du, Xueyun Gao, Gengmei Xing

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

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 71% 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 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Xu HanCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.
Zhesheng HeCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.
Wenchao NiuDepartment of Chemistry and Biology, Beijing University of Technology, Beijing 100124, China.
Chunyu ZhangDepartment of Chemistry and Biology, Beijing University of Technology, Beijing 100124, China.ORCID 0000-0003-0366-3515
Zhongying DuDepartment of Chemistry and Biology, Beijing University of Technology, Beijing 100124, China.
Xueyun GaoDepartment of Chemistry and Biology, Beijing University of Technology, Beijing 100124, China.
Gengmei XingCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.
Beijing University of Technology · CNChinese Academy of Sciences · CN

Funding

National Science Foundation of China U2067214, 21727817
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) accounts for nearly one-quarter of all breast cancer cases, but effective targeted therapies for this disease remain elusive because TNBC cells lack the expression of the most common three receptors seen in other subtypes of breast cancers. The medium-term diagnosis of breast cancers is essential for development and prognosis. According to reports, patients with TNBC may be converted to a positive epidermal growth factor receptor 2(HER-2) after chemotherapy, and trastuzumab treatment will have a better prognosis. Therefore, it is important to accurately quantify the expression of HER-2 in breast cancer cells. Herein, we design a red fluorescent Au

Indexed as

Au25 probesHER-2ICP-MStriple-negative breast cancer

Identifiers

PMID35335736
PMCPMC8950386
OpenAlexW4220773253

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.