Evidence map›Paper›PMID 35197099›Full record

ArticleJournal of nanobiotechnology2022

Sensitive and selective detection of Mucin1 in pancreatic cancer using hybridization chain reaction with the assistance of Fe

Qing Dong, Xiuna Jia, Yuling Wang, Hao Wang, Qiong Liu, Dan Li, Jin Wang, Erkang Wang

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

Article in Journal of nanobiotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Review
  3. Inhibition of bromodomain regulates cellular senescence in pancreatic adenocarcinoma.International journal of clinical and experimental pathology · 2024
    Article
  4. 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

8 authors at 5 institutions in 3 countries.

Qing DongCollege of Chemistry, Jilin University, Changchun, 130012, Jilin, People's Republic of China.
Xiuna JiaState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, Jilin, People's Republic of China.
Yuling WangARC Centre of Excellence for Nanoscale BioPhotonics, Department of Molecular Sciences, Macquarie University, Sydney, 2109, Australia.
Hao WangCollege of Chemistry, Jilin University, Changchun, 130012, Jilin, People's Republic of China.
Qiong LiuState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, Jilin, People's Republic of China.
Dan LiState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, Jilin, People's Republic of China. lidan@ciac.ac.cn.
Jin WangDepartment of Chemistry and Physics, State University of New York at Stony Brook, Stony Brook, NY, 11794-3400, USA. jin.wang.1@stonybrook.edu.
Erkang WangCollege of Chemistry, Jilin University, Changchun, 130012, Jilin, People's Republic of China.
Changchun Institute of Applied Chemistry · CNChinese Academy of Sciences · CNJilin University · CNMacquarie University · AUState University of New York · US

Funding

Innovative Research Group Project of the National Natural Science Foundation of China No. 21721003Ministerial Standing Committee on Scientific and Technological Cooperation of the Organization of Islamic Cooperation 20200301009RQMinisterial Standing Committee on Scientific and Technological Cooperation of the Organization of Islamic Cooperation No. 20190701059GHMOST China No. 2016YFA0203200the National Natural Science Foundation of China 31301177
6 · The paper itself

Abstract

Pancreatic cancer is characterized as the worst for diagnosis lacking symptoms at the early stage, which results in a low overall survival rate. The frequently used techniques for pancreatic cancer diagnosis rely on imaging and biopsy, which have limitations in requiring experienced personnel to operate the expensive instruments and analyze the results. Therefore, there is a high demand to develop alternative tools or methods to detect pancreatic cancer. Herein, we propose a new strategy to enhance the detection sensitivity of pancreatic cancer cells both in biofluids and on tissues by combining the unique property of dopamine coated Fe

Indexed as

Biosensing TechniquesNanocompositesPancreatic NeoplasmsHumansIndolesLimit of DetectionNucleic Acid HybridizationPolymersIndolespolydopaminePolymersDopamine coated magnetic compositesHybridization chain reactionImagingPancreatic cancer detection

Identifiers

PMID35197099
PMCPMC8867748
OpenAlexW4213305208

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.