Evidence map›Paper›PMID 35331175›Full record

ArticleBMC cancer2022

Serum untargeted lipidomics by UHPLC-ESI-HRMS aids the biomarker discovery of colorectal adenoma.

Hailin Zhou, Yanying Nong, Yifan Zhu, Yunxiao Liang, Jiahao Zhang, Hongwei Chen, Pingchuan Zhu, Qisong Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Serum Trimethylamine-International journal of molecular sciences · 2026
    Article
  4. Effect of equine-derivedFrontiers in microbiology · 2026
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  8. Article
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  11. Review
  12. Recent Analytical Methodologies in Lipid Analysis.International journal of molecular sciences · 2024
    Review
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  15. Article
  16. Review
  17. 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 2 institutions in 1 country.

Hailin Zhou *Medical College of Guangxi University, Guangxi University, Nanning, Guangxi, 530004, PR China.
Yanying Nong *Department of Gastroenterology, Ruikang Hospital Affilated to Guangxi University of Chinese Medicine, Nanning, Guangxi, 530011, PR China.
Yifan ZhuMedical College of Guangxi University, Guangxi University, Nanning, Guangxi, 530004, PR China.
Yunxiao LiangDepartment of Gastroenterology, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, 530021, PR China.
Jiahao ZhangMedical College of Guangxi University, Guangxi University, Nanning, Guangxi, 530004, PR China.
Hongwei ChenMedical College of Guangxi University, Guangxi University, Nanning, Guangxi, 530004, PR China.
Pingchuan ZhuState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, Guangxi, 530004, PR China.
Qisong ZhangMedical College of Guangxi University, Guangxi University, Nanning, Guangxi, 530004, PR China. zhangqisong@gxu.edu.cn.
Guangxi University · CNThe People's Hospital of Guangxi Zhuang Autonomous Region · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal adenoma (CA) is an important precancerous lesion and early screening target of colorectal cancer (CRC). Lipids with numerous physiological functions are proved to be involved in the development of CRC. However, there is no lipidomic study with large-scale serum samples on diagnostic biomarkers for CA.

methodsThe serum lipidomics of CA patients (n = 50) and normal control (NR) (n = 50) was performed by ultra high performance liquid chromatography-high resolution mass spectrometry with electrospray ionization (UHPLC-ESI-HRMS). Univariate and multivariate statistical analyses were utilized to screen the differential lipids between groups, and combining the constituent ratio analysis and diagnostic efficiency evaluation by receiver operating characteristic (ROC) curve disclosed the potential mechanism and biomarkers for CA.

resultsThere were obvious differences in serum lipid profiles between CA and NR groups. Totally, 79 differential lipids were selected by criterion of P < 0.05 and fold change > 1.5 or < 0.67. Triacylglycerols (TAGs) and phosphatidylcholines (PCs) were the major differential lipids with ratio > 60%, indicating these two lipid metabolic pathways showed evident disequilibrium, which could contribute to CA formation. Of them, 12 differential lipids had good diagnostic ability as candidate biomarkers for CA (AUC ≥ 0.900) by ROC analysis.

conclusionsTo our knowledge, this is the first attempt to profile serum lipidomics and explore lipid biomarkers of CA to help early screening of CRC. 12 differential lipids are obtained to act as potential diagnostic markers of CA. PCs and fatty acids were the main dysregulated biomarkers for CA in serum.

Indexed as

AdenomaColorectal NeoplasmsBiomarkersChromatography, High Pressure LiquidHumansLipidomicsBiomarkersBiomarkersColorectal adenomaColorectal cancerEarly screeningSerum lipidomicsUHPLC-ESI-HRMS

Identifiers

PMID35331175
PMCPMC8943952
OpenAlexW4226207383

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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.