Evidence map›Paper›PMID 35517584›Full record

ArticleRSC advances2019

DNA aptamers from whole-serum SELEX as new diagnostic agents against gastric cancer.

Yue Zheng, Yunwang Zhao, Ya Di, Chenlin Xiu, Lei He, Shiqi Liao, Dongdong Li, Baihai Huang

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Advances in aptamer-based nuclear imaging.European journal of nuclear medicine and molecular imaging · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. AvCardiovascular therapeutics · 2020
    Article
  11. 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 4 institutions in 3 countries.

Yue ZhengThe First Hospital of Qinhuangdao Qinhuangdao 066000 China zhengyueqhd@sina.com +86-0335-590-8121.
Yunwang ZhaoThe First Hospital of Qinhuangdao Qinhuangdao 066000 China zhengyueqhd@sina.com +86-0335-590-8121.ORCID https://orcid.org/0000-0001-5922-5181
Ya DiThe First Hospital of Qinhuangdao Qinhuangdao 066000 China zhengyueqhd@sina.com +86-0335-590-8121.
Chenlin XiuCentral Pharmaceutical Research Institute, Shijiazhuang Pharmaceutical Group Shijiazhuang 050041 China.
Lei HeCollege of Environment &Chemical Engineering, Yanshan University Qinhuangdao 066004 China.
Shiqi LiaoCollege of Life Sciences, Lanzhou University Lanzhou 730000 China.
Dongdong LiCollege of Life Sciences, Lanzhou University Lanzhou 730000 China.
Baihai HuangCollege of Environment &Chemical Engineering, Yanshan University Qinhuangdao 066004 China.
First Hospital of Qinhuangdao · CNLanzhou City University · CNYanshan University · CNShijiazhuang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is still among the leading causes of cancer deaths worldwide. Despite the improvements in diagnostic methods, the status of early detection has not been achieved so far. Early diagnosis of gastric cancer may significantly improve the cure rate of patients. Therefore, a new diagnostic method is needed. In this study, subtractive SELEX was performed to screen gastric cancer serum-specific DNA aptamers by using gastric cancer serum and normal serum as the target and negative serum, respectively. Four highly specific aptamers generated for gastric cancer serum, Seq-3, Seq-6, Seq-19 and Seq-54, were developed using whole-serum subtractive SELEX technology with

Identifiers

PMID35517584
PMCPMC9059574
OpenAlexW2910340979

What OpenQuestion holds

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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.