Evidence map›Paper›PMID 37441164›Full record

ArticleFrontiers in molecular biosciences2023

Targeted metabolomics analysis of nucleosides and the identification of biomarkers for colorectal adenomas and colorectal cancer.

Weifang Zheng, Mingwei Wang, Xiaoyin Chai, Fuzhen Pan, Meihui Xu, Yingchen Wang, Liuhao Lan, Feiran Hu, Zhe Zhang, Zhu Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. The multifaceted role of 3-methyladenine in cancer therapy.Journal of physiology and biochemistry · 2026
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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

10 authors at 3 institutions in 1 country.

Weifang ZhengLanxi Hospital of Traditional Chinese Medicine, Jinhua, China.
Mingwei WangCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou, China.
Xiaoyin ChaiLanxi Red Cross Hospital, Jinhua, China.
Fuzhen PanLanxi Hospital of Traditional Chinese Medicine, Jinhua, China.
Meihui XuLanxi Hospital of Traditional Chinese Medicine, Jinhua, China.
Yingchen WangLanxi Hospital of Traditional Chinese Medicine, Jinhua, China.
Liuhao LanLanxi Red Cross Hospital, Jinhua, China.
Feiran HuLanxi Hospital of Traditional Chinese Medicine, Jinhua, China.
Zhe ZhangLanxi Red Cross Hospital, Jinhua, China.
Zhu ChenLanxi Hospital of Traditional Chinese Medicine, Jinhua, China.
Jining Traditional Chinese Medicine Hospital · CNQinghai Red Cross Hospital · CNZhejiang University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The morbidity and mortality of colorectal cancer (CRC) have been increasing in recent years, and early detection of CRC can improve the survival rate of patients. RNA methylation plays crucial roles in many biological processes and has been implicated in the initiation of various diseases, including cancer. Serum contains a variety of biomolecules and is an important clinical sample for biomarker discovery. In this study, we developed a targeted metabolomics method for the quantitative analysis of nucleosides in human serum samples by using liquid chromatography with tandem mass spectrometry (LC-MS/MS). We successfully quantified the concentrations of nucleosides in serum samples from 51 healthy controls, 37 patients with colorectal adenomas, and 55 patients with CRC. The results showed that the concentrations of

Indexed as

biomarkercolorectal adenomascolorectal cancerLC-MS/MSnucleosidesserum

Identifiers

PMID37441164
PMCPMC10334214
OpenAlexW4382466980

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.