Evidence map›Paper›PMID 40995612›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2025

Potential Application Value of FASN in the Diagnosis of Colorectal Cancer.

Nan Li, Mingyue Hu, Qiliu Qian, Jun Ouyang, Yulin Yang, Yongqi Zhang

Abstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2025. 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. Potential Application Value of FASN in the Diagnosis of Colorectal Cancer.JGH open : an open access journal of gastroenterology and hepatology · 2025
    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

6 authors.

Nan LiDepartment of Gastroenterology Zhongda Hospital, Southeast University Nanjing China.
Mingyue HuDepartment of Gastroenterology Zhongda Hospital, Southeast University Nanjing China.
Qiliu QianDepartment of Gastroenterology Zhongda Hospital, Southeast University Nanjing China.
Jun OuyangZhenjiang Hospital Affiliated to Nanjing University of Chinese Medicine Zhenjiang China.
Yulin YangDepartment of Gastroenterology Zhongda Hospital, Southeast University Nanjing China.
Yongqi ZhangDepartment of Gastroenterology Xuyi People's Hospital Huaian China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fatty acid synthase (FASN) is a crucial enzyme that catalyzes endogenous lipogenesis in multiple diseases. However, the function and significance of FASN in colorectal cancer remain unclear. Aims: This research aimed to explore the expression and role of FASN in colorectal cancer. Results: Cancer, adjacent, and normal tissues were collected from patients with colorectal cancer and healthy controls. Immunohistochemistry and scoring were applied to analyze the expression of FASN in the different tissues, to investigate the differences in its expression among different tissue types, and to examine the potential correlation between FASN and gender, age, BMI, and other factors. Discussion: In this study, 100 colorectal cancer patients and 100 healthy participants were recruited. Respectively, the average scores of cancer tissues, adjacent tissues, and normal tissues were 7.25, 2, and 1.25. Significant differences were found among these three tissue groups ( Conclusion: Based on these data, FASN was specifically overexpressed in cancer tissues and adjacent tissues. Hence, our results suggest that FASN may play an essential role in colorectal cancer and may be an attractive therapeutic target in the future.

Indexed as

colorectal cancerdiagnosisfatty acid synthaseprognosis

Identifiers

PMID40995612
PMCPMC12454910

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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.