ArticlePeerJ2021
Abnormal expression of
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 10 citations in OpenAlex.
- Graph informed biomarker discovery framework using transcriptomic machine learning for glioblastoma prognosis.Scientific reports · 2026Article
- DNMT1 promotes the malignant progression of colorectal cancer by silencing HOXD11 via promoter hypermethylation.Discover oncology · 2026Article
- Cancer-associated Fibroblasts-derived Exosomes with HOXD11 Overexpression Promote Ovarian Cancer Cell Angiogenesis Via FN1.Reproductive sciences (Thousand Oaks, Calif.) · 2025Article
- Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma.Frontiers in cell and developmental biology · 2025Article
- Patterns of Gene Expression Profiles Associated with Colorectal Cancer in Colorectal Mucosa by Using Machine Learning Methods.Combinatorial chemistry & high throughput screening · 2024Article
- System analysis based on the migration- and invasion-related gene sets identifies the infiltration-related genes of glioma.Frontiers in oncology · 2023Article
- A new machine learning method for cancer mutation analysis.PLoS computational biology · 2022Article
- miR-138-5p-mediated HOXD11 promotes cell invasion and metastasis by activating the FN1/MMP2/MMP9 pathway and predicts poor prognosis in penile squamous cell carcinoma.Cell death & disease · 2022Article
- Molecular Analysis of Prognosis and Immune Infiltration of Ovarian Cancer Based on Homeobox D Genes.Computational and mathematical methods in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHomeobox D11 ( MATERIALS AND
methodsObtain gene expression information and clinical information of glioma and non-tumor brain tissue samples from multiple public databases such as TCGA (666 glioma samples), CGGA (749 glioma samples), GEPIA(163 glioblastoma samples and 207 normal control samples), GEO (GSE4290 and GSE15824). Nine cases of glioma tissue and five cases of normal control brain tissue were collected from the clinical department of Henan Provincial People's Hospital for further verification. A series of bioinformatic analysis methods were used to confirm the relationship between
resultsThe high expression of
conclusions
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.