Evidence map›Paper›PMID 40922684›Full record

ArticleActa biochimica et biophysica Sinica2025

Intestinal epithelial

Mingyue Li, Xintong Wang, Wenjie Hu, Xiaohui Cheng, Qi Sun, Yongjie Wu, Zhen Huang, Jiangning Chen

Abstract read
In one paragraph

Article in Acta biochimica et biophysica Sinica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mingyue LiState Key Laboratory of Analytical Chemistry for Life Sciences, School of Life Sciences, Nanjing University, Nanjing 210023, China.
Xintong WangState Key Laboratory of Analytical Chemistry for Life Sciences, School of Life Sciences, Nanjing University, Nanjing 210023, China.
Wenjie HuState Key Laboratory of Analytical Chemistry for Life Sciences, School of Life Sciences, Nanjing University, Nanjing 210023, China.
Xiaohui ChengState Key Laboratory of Analytical Chemistry for Life Sciences, School of Life Sciences, Nanjing University, Nanjing 210023, China.
Qi SunState Key Laboratory of Analytical Chemistry for Life Sciences, School of Life Sciences, Nanjing University, Nanjing 210023, China.
Yongjie WuState Key Laboratory of Analytical Chemistry for Life Sciences, School of Life Sciences, Nanjing University, Nanjing 210023, China.
Zhen HuangState Key Laboratory of Analytical Chemistry for Life Sciences, School of Life Sciences, Nanjing University, Nanjing 210023, China.
Jiangning ChenState Key Laboratory of Analytical Chemistry for Life Sciences, School of Life Sciences, Nanjing University, Nanjing 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysregulated transcription factors critically link chronic inflammation to oncogenesis in colitis-associated colorectal cancer (CAC), but their mechanistic roles remain incompletely understood. By integrating microarray and transcriptome sequencing data from ulcerative colitis (UC), colitis-associated cancer (CAC), and colorectal cancer (CRC) patients, we identify C/EBPβ as a key transcriptional regulator whose elevated expression inversely correlates with survival. In azoxymethane (AOM)/dextran sulfate sodium (DSS)-induced CAC models, intestinal epithelial C/EBPβ is upregulated during tumor progression, which is correlated with exacerbated tumor burden and neutrophil infiltration. Mice with intestinal epithelial-specific

Indexed as

colitis-associated tumorigenesisCXCL1/CXCL2/CXCL5-CXCR2 axisCXCR2-mediated neutrophil infiltrationepithelial-specific C/EBPβ

Identifiers

PMID40922684
PMCPMC13107026

What OpenQuestion holds

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LicenceCC BY
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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.