Evidence map›Paper›PMID 38698075›Full record

ArticleScientific reports2024

Exploration of the application potential of serum multi-biomarker model in colorectal cancer screening.

Runhao Xu, Jianan Shen, Yan Song, Jingbo Lu, Yijing Liu, Yun Cao, Zhenhua Wang, Jie Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Review
  10. 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.

Runhao Xu *Department of Clinical Laboratory, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200001, China.
Jianan Shen *Department of Clinical Laboratory, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200001, China.
Yan SongDepartment of Clinical Laboratory, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200001, China.
Jingbo LuDepartment of Clinical Laboratory, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200001, China.
Yijing LiuDepartment of Clinical Laboratory, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200001, China.
Yun CaoDepartment of Clinical Laboratory, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200001, China.
Zhenhua WangDepartment of Gastroenterology, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200001, China.
Jie ZhangDepartment of Clinical Laboratory, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200001, China. zhangjie_renji@163.com.

Funding

National Natural Science Foundation of China 8227031067
6 · The paper itself

Abstract

Analyzing blood lipid and bile acid profile changes in colorectal cancer (CRC) patients. Evaluating the integrated model's diagnostic significance for CRC. Ninety-one individuals with colorectal cancer (CRC group) and 120 healthy volunteers (HC group) were selected for comparison. Serum levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and apolipoproteins (Apo) A1, ApoA2, ApoB, ApoC2, and ApoC3 were measured using immunoturbidimetric and colorimetric methods. Additionally, LC-MS/MS was employed to detect fifteen bile acids in the serum, along with six tumor markers: carcinoembryonic antigen (CEA), carbohydrate antigens (CA) 125, CA19-9, CA242, CA50, and CA72-4. Group comparisons utilized independent sample t-tests and Mann-Whitney U tests. A binary logistic regression algorithm was applied to fit the indicators and establish a screening model; the diagnostic accuracy of individual Indicators and the model was analyzed using receiver operating characteristic (ROC) curves. The CRC group showed significantly lower levels in eight serum lipid indicators and eleven bile acids compared to the HC group (P < 0.05). Conversely, serum levels of TG, CA19-9, and CEA were elevated (P < 0.05). Among the measured parameters, ApoA2 stands out for its strong correlation with the presence of CRC, showcasing exceptional screening efficacy with an area under the curve (AUC) of 0.957, a sensitivity of 85.71%, and a specificity of 93.33%. The screening model, integrating ApoA1, ApoA2, lithocholic acid (LCA), and CEA, attained an impressive AUC of 0.995, surpassing the diagnostic accuracy of individual lipids, bile acids, and tumor markers. CRC patients manifest noteworthy alterations in both blood lipids and bile acid profiles. A screening model incorporating ApoA1, ApoA2, LCA, and CEA provides valuable insights for detecting CRC.

Indexed as

Bile Acids and SaltsBiomarkers, TumorColorectal NeoplasmsEarly Detection of CancerAdultAgedApolipoproteinsCarcinoembryonic AntigenCase-Control StudiesFemaleHumansLipidsMaleMiddle AgedROC CurveApolipoproteinsBile Acids and SaltsBiomarkers, TumorCarcinoembryonic AntigenLipidsBile acidColorectal cancerLipidScreening model

Identifiers

PMID38698075
PMCPMC11066011

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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.