ArticleJournal of gastrointestinal oncology2021
Comprehensive transcriptome analysis of colorectal cancer risk of hyperglycemia in humans.
Article in Journal of gastrointestinal oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Obesity promotes conserved inflammatory and metabolic transcriptional programs in colon tumors: evidence from mouse models and the ColoCare Study Patient Cohort.The American journal of clinical nutrition · 2025Article
- Global burden of colorectal cancer attributable to metabolic risks from 1990 to 2021, with projections of mortality to 2035.International journal of colorectal disease · 2025Article
- The Lectin Pathway of the Complement System-Activation, Regulation, Disease Connections and Interplay with Other (Proteolytic) Systems.International journal of molecular sciences · 2024Review
- Glucose metabolism and lncRNAs in breast cancer: Sworn friend.Cancer medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEpidemiological studies have found that hyperglycemia, is an independent risk factor for colorectal cancer (CRC), increasing colon cancer incidence and affecting the recurrence, metastasis, and prognosis in colon cancer patients. However, the intercorrelation between hyperglycemia and CRC risk is still unknown, In the present study, we sought to determine whether gene markers, which act in CRC with hyperglycemia, are silenced in CRC without hyperglycemia.
methodsIn order to characterize the mechanism of functional genes associated with CRC with hyperglycemia, A total 24 CRC and matched controls were sequenced. Through bioinformatics analysis includes differential expression analysis, functional enrichment, new isoform prediction and alternative splicing event identification to found biomarker genes related to CRC development.
resultsCRC patients with hyperglycemia were compared with patients without hyperglycemia, and we found that 21 genes were upregulated and 27 were downregulated. Further study showed that these genes are possibly of key genes involved in CRC development with hyperglycemia, such as mannan-binding lectin-associated serine protease 3 (MASP3), which has an immunological role in the activation of the complement system. Based on our comprehensive analysis, a cis-regulatory network for hyperglycemic CRC was reconstructed.
conclusionsProtein-protein interactions revealed the mechanisms of molecules involved in the interaction of hyperglycemia and cancer development. Our results provide further information on the metabolic pathway interaction with cancer pathways and elucidated the mechanisms of hyperglycemic factors function in cancer development from a transcriptomic perspective.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.