Breast cancer battle: precision subtyping leads to personalized treatment
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Breast cancer battle: precision subtyping leads to personalized treatment

18/12/2024 TranSpread

Breast cancer, with its myriad subtypes, has long eluded a uniform treatment strategy. The disease's molecular complexity has rendered traditional, blanket treatments insufficient, particularly for the aggressive triple-negative form. This has highlighted an urgent need to unravel the molecular tapestry of breast cancer, a quest that could lead to the development of more precise and potent therapies. The quest for deeper insights into the disease's molecular architecture is now at the forefront of cancer research.

A team of dedicated researchers from Fudan University Shanghai Cancer Center has taken a significant step forward in this quest. Their findings (DOI: 10.20892/j.issn.2095-3941.2024.0222), published in the esteemed journal Cancer Biology & Medicine on September 19, 2024, shed new light on the molecular subtyping of breast cancer, a key factor in both diagnosis and the prescription of precise systemic treatments.

This study meticulously peels back the layers of breast cancer's genetic diversity, moving beyond rudimentary receptor status to reveal the disease's intricate molecular heterogeneity. By employing comprehensive molecular profiling, including genomic and transcriptomic data, researchers have delineated distinct breast cancer subtypes, each with its own set of biological traits and therapeutic susceptibilities. A spotlight is cast on triple-negative breast cancer (TNBC), where the research uncovers a rich tapestry of molecular subtypes, each with unique genomic alterations and therapeutic targets. This nuanced understanding of TNBC's molecular landscape is a giant leap towards crafting personalized treatment strategies that promise to enhance patient outcomes.

Dr. Yi-Zhou Jiang, a leading oncologist and the study's corresponding author, articulates the study's significance, saying, "Our research signifies a seismic shift in how we confront breast cancer. By surpassing the constraints of receptor-based classification systems, we now possess the capacity to craft treatments bespoke to the molecular fingerprints of individual tumors. This heralds not just a therapeutic revolution but the dawn of an era where personalized medicine becomes the standard of care."

The implications of this study are as profound as they are promising. With the capacity to identify and target specific molecular subtypes, the field of breast cancer management stands on the brink of a new era. Researchers and clinicians are now armed with the knowledge to devise and execute treatment plans that are uniquely tailored to the genetic blueprints of patients' tumors. This level of therapeutic precision is anticipated to not only elevate survival rates but also to markedly improve the quality of life for breast cancer patients. The integration of molecular subtyping into clinical practice is a giant stride towards precision medicine, offering a more optimistic outlook for patients and establishing a new benchmark for oncological research and treatment.

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References

DOI

10.20892/j.issn.2095-3941.2024.0222

Original Source URL

https://doi.org/10.20892/j.issn.2095-3941.2024.0222

About Cancer Biology & Medicine (CBM)

Cancer Biology & Medicine (CBM) is a peer-reviewed open-access journal sponsored by China Anti-cancer Association (CACA) and Tianjin Medical University Cancer Institute & Hospital. The journal monthly provides innovative and significant information on biological basis of cancer, cancer microenvironment, translational cancer research, and all aspects of clinical cancer research. The journal also publishes significant perspectives on indigenous cancer types in China. The journal is indexed in SCOPUS, MEDLINE and SCI (IF 5.6, 5-year IF 5.9), with all full texts freely visible to clinicians and researchers all over the world.

Paper title: Evolving molecular subtyping of breast cancer advances precision treatment
18/12/2024 TranSpread
Regions: North America, United States, Asia, China
Keywords: Health, People in health research

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