Evidence map›Paper›PMID 42032056›Full record

ArticleScientific reports2026

Combining machine learning and multi-omics analysis to explore the role of CPT1C in colorectal tumor cancer transformation.

Zhouyue Gu, Jieya Chen, Jin Wu, Jie Liu, Yingzi Hu, Jiayi He, Yingchao Liu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Zhouyue GuThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Jieya ChenThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Jin WuThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Jie LiuThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Yingzi HuThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Jiayi HeThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Yingchao LiuThe Second Affiliated Hospital of Zhejiang Chinese Medical University, 318 Chaowang Rd, Hangzhou, China. jcjsylyc@163.com.

Funding

Administration of Traditional Chinese Medicine of Zhejiang Province No: GZY-KJS-ZJ-2025-003Department of Science and Technology of Zhejiang Province No: 2025C02195
6 · The paper itself

Abstract

Colorectal cancer is a common and high-mortality cancer that develops from colorectal adenomas and has a complex process of onset and progression. The CPT1C gene has been found to have a potential oncogenic role in a variety of cancers, but its role in colorectal adenocarcinoma is unclear. The aim of this study was to investigate the expression changes of CPT1C gene in colorectal adenocarcinoma and its clinical significance. Gene expression data from the GEO database were analyzed using machine learning to assess CPT1C differential expression between colorectal adenocarcinoma and adenoma patients. CPT1C was knocked down in HT29 and HCT116 colon cancer cells, and effects on proliferation, migration, and apoptosis were examined via CCK8, scratch, and Annexin V assays. CPT1C expression in human tissues was confirmed by immunohistochemistry. Additionally, the association between CPT1C expression and clinicopathological parameters was analyzed using the TCGA CRC cohort. Machine learning analysis revealed that CPT1C expression was significantly elevated in colorectal adenocarcinoma patients compared to adenoma patients, and high CPT1C expression was associated with poor patient survival. Cellular experiments demonstrated that CPT1C knockdown led to pronounced inhibition of cell proliferation, reduction in migration capabilities, and increased apoptosis in HT29 and HCT116 cells. Immunohistochemical results further confirmed the upregulated expression of CPT1C in colorectal cancer tissues. TCGA cohort analysis revealed that CPT1C expression was significantly associated with disease progression. CPT1C is significantly upregulated in colorectal adenocarcinoma compared with adenoma, and its high expression correlates with disease progression and poor prognosis. Functional assays demonstrate that CPT1C knockdown suppresses proliferation and migration while inducing apoptosis in colorectal cancer cells, highlighting its potential as a therapeutic target.

Indexed as

AdenocarcinomaCarnitine O-PalmitoyltransferaseCell Transformation, NeoplasticColorectal NeoplasmsMachine LearningAdenomaApoptosisBiomarkers, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHCT116 CellsHT29 CellsHumansMaleBiomarkers, TumorCarnitine O-PalmitoyltransferaseColorectal adenomaColorectal cancerCPT1CDisease biomarkerMachine learning

Identifiers

PMID42032056
PMCPMC13280020

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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.