Evidence map›Paper›PMID 38237540›Full record

ArticleJournal of pharmaceutical and biomedical analysis2024

Distinct plasma molecular profiles between early-onset and late-onset colorectal cancer patients revealed by metabolic and lipidomic analyses.

Shiqi Zhang, Rui Xu, Ming Hu, Fouad Choueiry, Ning Jin, Jieli Li, Xiaokui Mo, Jiangjiang Zhu

Open access · greenAbstract read
In one paragraph

Article in Journal of pharmaceutical and biomedical analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

8 authors at 2 institutions in 1 country.

Shiqi ZhangHuman Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA.
Rui XuHuman Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA.
Ming HuHuman Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA.
Fouad ChoueiryHuman Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA.
Ning JinMedical Oncology, The Ohio State University, Columbus, OH 43210, USA.
Jieli LiDepartment of Pathology, The Ohio State University, Columbus, OH 43210, USA.
Xiaokui MoBiomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
Jiangjiang ZhuHuman Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA; James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA. Electronic address: zhu.2484@osu.edu.
The Ohio State University · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Characterizing the Metabolome and Volatilome of Gut MicrobiomeR35GM133510 · NIGMS · OHIO STATE UNIVERSITY · PI ZHU, JIANGJIANG · 2019 to 2023
$2.2M
NCI NIH HHS P30 CA016058NIGMS NIH HHS R35 GM133510
6 · The paper itself

Abstract

Colorectal cancer (CRC) incidence in younger adults has been steadily rising, warranting an in-depth investigation into the distinctions between early-onset CRC (EOCRC, < 50 years) and late-onset CRC (LOCRC, ≥ 50 years). Despite extensive study of clinical, pathological, and molecular traits, differentiating EOCRC from LOCRC and identifying potential biomarkers remain elusive. We analyzed plasma samples from healthy individuals, EOCRC, and LOCRC patients using liquid-chromatography mass spectrometry (LC/MS)-based metabolomics and lipidomics. Distinct polar metabolite and lipid profiles with significant metabolites altered in CRC group (e.g., choline and DG 40:4) were identified. Notably, EOCRC exhibited distinct polar metabolomic and differential lipidomic profiles compared to LOCRC, with polar metabolites like aminoadipate and uridine contributing significantly to the difference, and originating from pathways such as lysine biosynthesis and nucleotide metabolism. Furthermore, gene set enrichment analysis (GSEA) using independent TCGA gene expression data identified pathways significantly enriched in either EOCRC or LOCRC. Integrating gene expression and metabolomics data revealed numerous associations differentiating EOCRC and LOCRC. Our multi-omics integration underscores critical molecular distinctions, offers insights into the EOCRC development mechanisms and potential plasma biomarkers for diagnosis.

Indexed as

Colorectal NeoplasmsAdultBiomarkersHumansLipidomicsBiomarkersColorectal cancerEarly-onsetLate-onsetMass spectrometryMetabolomics

Identifiers

PMID38237540
PMCPMC11181242
OpenAlexW4390820653

What OpenQuestion holds

Textmetadata
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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.