ArticleFrontiers in oncology2022
DPP6 and MFAP5 are associated with immune infiltration as diagnostic biomarkers in distinguishing uterine leiomyosarcoma from leiomyoma.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Transcriptomic meta-analysis identifies dysregulated pathways and potential therapeutic targets in Vestibular Schwannoma.PloS one · 2026Pooled it
- A Review of Proteomic Studies in Uterine Leiomyosarcoma: Biomarkers, Pathways, and Clinical Potential.Current issues in molecular biology · 2026Review
- Exploratory Preoperative Risk Stratification of Uterine Mesenchymal Tumors in Postmenopausal Women with Complementary Transcriptomic Analysis.Diagnostics (Basel, Switzerland) · 2026Article
- Liquid Biopsy in Uterine Leiomyosarcoma: Current Biomarkers, Emerging Technologies, and Future Perspectives.Current oncology reports · 2026Review
- Combination of serum TBL1XR1, MFAP5, and PSA as diagnostic biomarkers for prostate cancer.Clinics (Sao Paulo, Brazil) · 2026Article
- Voltage-dependent potassium channel regulatory subunits in the immune system.Biophysical reviews · 2026Review
- Loss of MFAP5 and Its Effect on Skin Homeostasis and Wound Healing.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Advancement in Multi-omics approaches for Uterine Sarcoma.Biomarker research · 2024Review
- Identification of oxidative stress-related biomarkers in uterine leiomyoma: a transcriptome-combined Mendelian randomization analysis.Frontiers in endocrinology · 2024Article
- Potential Markers to Differentiate Uterine Leiomyosarcomas from Leiomyomas.International journal of medical sciences · 2024Review
- Identification and validation of feature genes associated with M1 macrophages in preeclampsia.Aging · 2023Article
- Interactions between MFAP5 + fibroblasts and tumor-infiltrating myeloid cells shape the malignant microenvironment of colorectal cancer.Journal of translational medicine · 2023Article
- Microfibril-associated protein 5 and the regulation of skin scar formation.Scientific reports · 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
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Uterine leiomyosarcoma (ULMS) is the most common subtype of uterine sarcoma and is difficult to discern from uterine leiomyoma (ULM) preoperatively. The aim of the study was to determine the potential and significance of immune Methods: Two public gene expression profiles (GSE36610 and GSE64763) from the GEO datasets containing ULMS and ULM samples were downloaded. Differentially expressed genes (DEGs) were selected and determined among 37 ULMS and 25 ULM control samples. The DEGs were used for Gene Ontology (GO), Kyoto Encyclopaedia of Genes and Genomes (KEGG) and Disease Ontology (DO) enrichment analyses as well as gene set enrichment analysis (GSEA). The candidate biomarkers were identified by least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE) analyses. The receiver operating characteristic curve (ROC) was applied to evaluate diagnostic ability. For further confirmation, the biomarker expression levels and diagnostic value in ULMS were verified in the GSE9511 and GSE68295 datasets (12 ULMS and 10 ULM), and validated by immunohistochemistry (IHC). The CIBERSORT algorithm was used to calculate the compositional patterns of 22 types of immune cells in ULMS. Result: In total, 55 DEGs were recognized Conclusion: These findings indicated that
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.