ArticleFrontiers in molecular biosciences2025
An immune-related seven-gene signature for predicting lymph node metastasis in breast cancer.
Article in Frontiers in molecular biosciences, 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.
- RFX5 in cancer: context-dependent molecular functions and emerging translational relevance.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Breast cancer (BC) is the leading malignant tumors among females worldwide, which serves as a common chronic disease with several acute postoperative complications, including upper limb edema, hemorrhage, flap necrosis, effusion and so on. A majority of BC patients have lymph node metastasis, suffering from a poor prognosis. The immune system has been reported to participate in regulating BC lymph node metastasis. This study aimed to search for immune-related biomarkers for predicting BC lymph node metastasis. Methods: 1057 BC patients were acquired from The Cancer Genome Atlas (TCGA) database as the training dataset while 327 BC patients were obtained from GSE20685 as the validation dataset. We get 2,175 immune genes from four immune-related gene sets. We divided BC patients into lymph node positive and negative groups to identify immune-related lymph node-associated differentially expressed genes (DEGs) for functional enrichment analysis and protein-protein interaction (PPI) network. In order to predict BC lymph node metastasis, we established an immune-related signature and assessed its predictive accuracy. In addition, we applied qRT-PCR to investigate signature gene expressions between normal breast epithelium cells and breast cancer cells. Results: We identified 336 immune-related lymph node-associated DEGs, which were enriched in leukocyte migration, immunoglobulin complex and receptor ligand activity among GO analysis and cytokine-cytokine receptor interaction among KEGG analysis. With the aim of predicting BC lymph node metastasis, we established a seven-gene immune-related signature, consisting of F2R, IKZF2, NAB1, RFX5, S100B, S1PR2 and VEGFA. The immune-related signature was proven to be an independent predictive factor for BC lymph node metastasis in both TCGA and GSE20685 databases. Compared with normal breast epithelium cells, RFX5, VEGFA were upregulated in breast cancer cells, IKZF2, NAB1, S100B were downregulated in breast cancer cells while F2R, S1PR2 showed no significance. Conclusion: We established a seven-gene immune-related signature for predicting lymph node metastasis in BC, which might provide a novel sight for BC diagnosis and treatment.
Indexed as
Identifiers
What Socratic 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 Socratic graph.