ArticleJournal of Cancer2025
Integrating Bulk RNA Sequencing and CRISPR-Cas9 Screening to Identify Proliferation-Related Genes for Prognostic Stratification in Breast Cancer.
Article in Journal of Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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
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Who cites it
2 citing papers in PubMed.
- Multidimensional roles and clinical significance of GATA3 in breast cancer.Frontiers in cell and developmental biology · 2026Review
- Integrating single-cell transcriptomics and whole-genome CRISPR CAS9 screen identifies a cell cluster associated with tumor dependency in triple-negative breast cancer.Frontiers in oncology · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
Breast cancer has become one of the most common malignant tumors in women. Although the emergence of molecular typing has greatly improved the prognosis of breast cancer patients, some patients still face drug resistance, recurrence and metastasis. At present, the development of effective biomarkers is still an important direction of breast cancer research. This study aims to provide new ideas for individualized treatment of breast cancer by identifying new biomarkers and constructing models to predict the prognosis of breast cancer patients. In this study, seven tumor-dependent genes associated with tumor proliferation were identified through the combined analysis of bulk-RNA sequencing and CRISPR-CAS9, and the mechanism of their potential promotion of tumor proliferation was initially analyzed. Immune infiltration analysis suggested these genes may be associated with the formation of immunosuppressive microenvironment. In addition, we constructed a gene signature based on seven genes that can predict prognostic risk in patients with breast cancer. The group with higher signature scores was associated with more GATA3 somatic mutations. Finally, we screened potential drugs suitable for high-risk groups to improve their outcomes. Our study provides potential therapeutic targets as well as individualized treatment strategies for breast cancer.
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Registered trials
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