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    This Collection aims to explore the intricate relationship between metabolism, diet, and cancer, highlighting the latest research and innovative approaches to improve patient outcomes. By fostering a deeper understanding of how dietary interventions and metabolic pathways influence cancer biology, we seek to pave the way for novel therapeutic strategies and personalized nutrition approaches. Researchers are encouraged to contribute their findings to advance this vital area of study.

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    This Collection invites research on molecular tumor boards, precision oncology, biomarkers, multi-omics, and clinical decision-making in breast cancer.

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  • Collection |

    This Collection invites research either using innovative models or improving on models used for research into breast biology and breast cancer prevention and therapy.

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    This Collection invites research and reviews on rare breast cancer subtypes with particular focus on science, trials and technologic opportunities to advance knowledge in this space

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    This Collection welcomes research on PARP inhibitors as monotherapy and in combination with other agents for the treatment of breast cancer, as well as research into intrinsic and acquired mechanisms of resistance to PARP inhibitors.

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  • Collection |

    This collection explores biomarkers in breast cancer trials, highlighting their role in predicting outcomes, guiding treatment, and assessing tolerability of personalized therapies.

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    Open for submissions
  • Collection |

    The field of cancer metabolism research is entering its 2nd century since the first description of the changes in metabolism of cancer cells by Otto Warburg and his colleague Seigo Minami in 1923.

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    The Collection will prioritize those submissions that identify or offer hypotheses between the nexus of the biological, clinical, or social science findings and disparate outcomes by race and/or ethnicity.

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  • Collection |

    This Collection is a partnership between npj Precision Oncology and npj Breast Cancer. It will bring together articles on all facets of AI in cancer research.

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    This Collection welcomes submissions of original articles, perspectives, and reviews addressing key technological and clinical aspects applied to blood biomarkers in breast cancer.

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