ArticleHuman cell2022
An integrated analysis of single-cell and bulk transcriptomics reveals EFNA1 as a novel prognostic biomarker for cervical cancer.
Article in Human cell, 2022. 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, 14 citations in OpenAlex.
- Advancements in single-cell sequencing for cervical cancer research.Molecular and cellular biochemistry · 2026Review
- Recent advancement in inflammatory biomarkers for cervical cancer diagnosis and therapy.Frontiers in oncology · 2026Review
- Implications of Single-Cell RNA Sequencing in Cervical Cancer: Unravelling the Molecular Landscape.ACS omega · 2025Review
- IFITM1 as a modulator of surfaceome dynamics and aggressive phenotype in cervical cancer cells.Oncology reports · 2025Article
- Comprehensive analysis of potential biomarkers for the diagnosis and prognosis of Cervical squamous cell carcinoma - based on GEO and TCGA databases.Frontiers in oncology · 2025Article
- Applications and Prospects of Single-Cell RNA Sequencing and Spatial Transcriptomics in Cervical Cancer.BioMed research international · 2025Review
- The diagnostic value of serum Ephrin-A1 in patients with colorectal cancer.Scientific reports · 2024Article
- Exploration of the shared pathways and common biomarkers in cervical and ovarian cancer using integrated bioinformatics analysis.Discover oncology · 2024Article
- The Clinical Relevance of the EPH/Ephrin Signaling Pathway in Pediatric Solid and Hematologic Malignancies.International journal of molecular sciences · 2024Review
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 3 institutions in 1 country.
Funding
Abstract
Cervical cancer is a serious threat to women's health and lives worldwide. The recovery and survival of cervical cancer can be improved by customizing therapy strategies based on individual-specific gene expression patterns. EFNA1 was reported to be dysregulated in many cancers and associated with their overall survivals, but its prognostic value in cervical cancer is still unclear. In this study, we performed analyses on the single-cell and bulk RNA sequencing data to study the role of EFNA1 in cervical cancer. EFNA1 was found to be significantly upregulated in cervical cancer tissue, especially the cancer cell subgroup within tumors, which was verified by immunohistochemistry. Through Cox regressions, we found that high EFNA1 expression is an independent risk factor for cervical cancer. Nomogram analysis indicated that EFNA1 could be a predicting factor for the survival probabilities of cervical cancer. Gene ontology and pathway analyses showed that EFNA1 was involved in many tumorigenesis pathways, protein, and virus productions. These findings suggested that EFNA1 could be a prognostic biomarker and potential therapeutic target for cervical cancer.
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.