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Researchers sought to identify new targets for breast cancer treatment by using large-scale genetic data and functional genomic screening to pinpoint genes that could be targeted by drugs.

Novel Breast Cancer Targets Identified via Multi-Omics Analysis

Publication Title: Integrating large-scale in vitro functional genomic screen and multi-omics data to identify novel breast cancer targets

Summary

  • Breast Cancer Research and Treatment

    214 (3) - September 2025

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Question

In this study, the researchers aimed to identify new targets for breast cancer treatment. They focused on three types of breast cancer: estrogen-receptor-positive (ER+), human-epidermal-growth-factor-receptor-2-positive (HER2+), and triple-negative breast cancer (TNBC). They used large-scale genetic data and functional genomic screening to pinpoint genes that could be targeted by drugs. The goal was to create a prioritized list of potential drug targets that could guide future research and therapy development.

Why it Matters

Breast cancer remains a leading cause of cancer-related deaths, with many patients experiencing metastatic recurrence. Current treatments target only a limited number of molecular pathways. Identifying new drug targets is crucial for developing more effective therapies. This research is significant for scientists, healthcare providers, and patients, as it offers a pathway to more personalized and potentially more effective breast cancer treatments.

Methods

The researchers used data from the Cancer Dependency Map (DepMap), which involves gene silencing experiments across various cancer cell lines. They combined this with data from The Cancer Genome Atlas (TCGA) to assess gene expression. They analyzed 48 breast cancer cell lines, looking for genes with high dependency scores, indicating that the genes are crucial for cancer cell survival. They prioritized genes that are druggable, meaning they can potentially be targeted by drugs and are also expressed in human breast cancer tissues.

Key Findings

The study identified 66, 53, and 29 potential drug targets for ER+, HER2+, and TNBC, respectively. Some of these targets are already known, but many are novel. For example, the study highlighted genes involved in electron transport and transcription regulation as crucial for cancer cell survival. They also found synthetic lethal interactions, where the presence of certain mutations makes cancer cells more dependent on specific genes, offering new therapeutic opportunities.

Implications

The findings provide a comprehensive list of potential drug targets for breast cancer, which could lead to the development of new therapies. By focusing on subtype-specific targets, the research supports the move toward more personalized cancer treatment. The study also highlights the importance of developing new therapies targeting metabolic and transcription-related processes in cancer cells.

Next Steps

The researchers suggest further experimental validation of the identified targets in laboratory and clinical settings. They also recommend exploring the synthetic lethal interactions discovered, as these could lead to targeted therapies for patients with specific genetic mutations.

Funding Information

This research was supported by the National Institutes of Health (NIH). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Additionally, Yale University provided funding and support for this research.

Full Citation

Lin H, Dai J, Pusztai L. Integrating large-scale in vitro functional genomic screen and multi-omics data to identify novel breast cancer targets. Breast Cancer Research And Treatment 2025, 214: 319-327. PMID: 40888991, DOI: 10.1007/s10549-025-07817-0.

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Research Themes

  • Breast Cancer Research and Treatment

    214 (3) - September 2025

    Read Full Publication
  • Engagement

    Citation
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