ArticleInternational journal of immunopathology and pharmacology
Silencing RPL9 promotes malignant proliferation in breast cancer cells.
Article in International journal of immunopathology and pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify key RNA-binding proteins (RBPs) associated with breast cancer (BRCA) prognosis and to construct an RBP-based prognostic scoring model and clinical nomogram. Additionally, to explore the functional role of RPL9 in BRCA cell proliferation and apoptosis.
introductionBreast cancer is a molecularly heterogeneous malignancy in which posttranscriptional dysregulation contributes significantly to tumor progression. RNAbinding proteins regulate multiple steps of RNA metabolism and have emerged as promising prognostic biomarkers and therapeutic targets in BRCA.
methodsRNA-sequencing data and clinical information of BRCA patients were obtained from TCGA. Differential expressions, Cox, and LASSO regression analyses were performed to identify prognosis-related RBPs and establish a risk scoring model. A clinical nomogram integrating the model with clinicopathological features was generated. Tumor mutational burden (TMB), tumor immune microenvironment (TIME), and immune checkpoint expression were analyzed between risk groups. Functional assays, including CCK-8 proliferation and flow cytometry-based apoptosis analyses, were conducted in BRCA cell lines to determine the role of RPL9.
resultsNine prognosis-related RBPs were identified and used to construct the RBPbased prognostic scoring model, which effectively predicted 3-, 5-, and 9-year survival outcomes. The model remained robust in an external validation cohort. A clinical nomogram based on the model showed strong predictive performance. High-risk patients displayed higher TMB, lower immune scores, reduced CD8⁺ T-cell infiltration, and decreased immune checkpoint expression. RPL9 was markedly downregulated in BRCA tissues and cells, and RPL9 overexpression inhibited cell proliferation and significantly increased apoptosis, supporting its tumor-suppressive role.
conclusionWe identified and constructed a 9-RBP based scoring model and a clinical prognostic nomogram for accurately predicting the survival probability and assessing the tumor microenvironment of patients with BRCA. Moreover, our findings firstly demonstrated that RPL9 downregulation correlated with poor clinical outcomes and functionally drives tumor cell proliferation, establishing it as a potential therapeutic target and prognostic biomarker for BRCA.
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.