Evidence mapPaperPMID 42500611Full record

ReviewFrontiers in molecular biosciences2026

Long non-coding RNAs in the crosstalk between diabetes and colorectal cancer: molecular mechanisms and endocrine pathways.

Lu Zhang, Min Li

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2026. 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

2 authors.

Lu Zhang *Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Min Li *Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) and diabetes mellitus are major global health burdens that frequently coexist and share overlapping metabolic and molecular abnormalities. Accumulating epidemiological evidence indicates that diabetes is associated with an increased risk of CRC; however, the underlying mechanisms remain incompletely defined. Long non-coding RNAs (lncRNAs) have recently emerged as important regulators of gene expression and cellular signaling, with critical roles in both metabolic disorders and cancer. In this review, we summarize current evidence on key lncRNAs that are implicated in the shared molecular networks linking diabetes and CRC. These lncRNAs modulate multiple signaling pathways, including PI3K/AKT, Wnt/β-catenin, NF-κB-mediated inflammation, hypoxia-associated signaling, metabolic reprogramming, angiogenesis, and epigenetic regulation. Through interactions with microRNAs (miRNAs), transcription factors, and chromatin-modifying complexes, they influence key biological processes such as insulin signaling, glucose metabolism, epithelial-mesenchymal transition, oxidative stress responses, and tumor progression. Elucidating the roles of lncRNAs provides important insight into the molecular interplay between metabolic dysfunction and colorectal tumorigenesis. Notably, many lncRNAs are detectable in circulating fluids, highlighting their potential as non-invasive biomarkers for early detection and risk assessment in diabetic populations at increased risk of CRC. Furthermore, targeting dysregulated lncRNAs may offer novel therapeutic opportunities to simultaneously modulate metabolic and oncogenic pathways. Overall, integrating lncRNA biology into the study of CRC and diabetes may advance our understanding of disease mechanisms and support the development of improved diagnostic and therapeutic strategies.

Indexed as

biomarkerscolorectal cancerdiabetes mellitusepigenetic regulationinflammationlong non-coding RNAsmetabolic reprogrammingmolecular mechanisms

Identifiers

PMID42500611
PMCPMC13395692

What Socratic holds

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Registered trials

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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 Socratic graph.