ArticleIranian journal of biotechnology2025
Prognostic Significance of
Article in Iranian journal of biotechnology, 2025. 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
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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
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Breast cancer remains a leading cause of cancer-related mortality among women, highlighting the urgent need for reliable biomarkers that can aid in prognosis and therapeutic stratification. Objectives: This study aimed to evaluate the RNA expression levels of four specific genes- Materials and Methods: The RNA expression levels of Results: All four genes demonstrated significantly higher expression levels in breast cancer samples, correlating with advanced disease stages, lymph node involvement, and triple-negative breast cancer status. Conclusions: Our findings suggest that this four-gene panel holds significant promise as a robust prognostic tool for breast cancer survival. This research paves the way for further investigations into targeted therapies and personalized medicine approaches in the management of breast cancer.
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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.