ArticleEuropean journal of medical research2025
Identification of neoantigen epitopes in cervical cancer by multi-omics analysis.
Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Cross-scale modeling reveals a TFRC-driven immunosuppressive macrophage niche in cervical cancer.Frontiers in immunology · 2026Article
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.
Funding
Abstract
backgroundTumor vaccines enhance the immune response and cytotoxicity of tumor-specific T cells and show promising clinical therapeutic efficacy. Although most cervical cancer cells express HPV-related oncoproteins, some do not. Additionally, neoantigens worth attracting attention for cervical cancer (CC) may hold the potential for breakthroughs in the development of cervical cancer vaccines.
methodsA comprehensive computational analysis was conducted based on the tumor genome, transcriptome, and proteome data from 284 cervical cancer samples obtained from the TCGA database. Frequently mutated genes were identified. The levels of immune cell infiltration were analyzed using RNA-seq data, high-frequency mutated genes were identified as candidate genes that were significantly related to immune infiltration. Focusing on MHC class I epitopes recognized by CD8 + T cells, we predicted potential neoantigen peptides using the NetMHCpan-4.0 and NetCTL-1.2 algorithms. To further confirm the immunogenicity of the synthesized peptides, we performed flow cytometry and real-time PCR in vivo to examine markers of T cell activation and cytotoxicity. We also stimulated PBMC from patients with the corresponding HLA type with the synthesized peptides using an ELISpot assay.
resultsWe identified 30 highly mutated genes, among which TTN, PRKDC, PCLO, MUC17, HUWE1, RYR2, and CREBBP positively correlated with immune cell infiltration into the tumor microenvironment. PCLO exhibited higher protein expression in tumor tissues than in the corresponding normal tissues, making it a potential tumor antigen. The PCLO peptides SISRFTLEK and LSEAGHFFY exhibited the highest predicted scores among the cancer antigens and strong immunogenicity in vivo.
conclusionOur analysis highlights the potential of PCLO as a candidate gene for enhancing immune cell infiltration and activating immune responses in tumors. The peptides SISRFTLEK (PCLO
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.