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Email

peter.savas@unimelb.edu.au

Credentials


Position
Honorary Conjoint Fellow
The Sir Peter MacCallum Department of Oncology

Dr Peter Savas

Honorary Conjoint Fellow
The Sir Peter MacCallum Department of Oncology

84 Scholarly works
1 Projects

HIGHLIGHTS

  • 2025

    Journal article

    Model systems and unique biological features of high and low-grade colorectal cancer (CRC) revealed by xenografting 84 human CRC cell lines
    DOI: 10.1038/s42003-025-08251-0
  • 2025

    Journal article

    Baseline tumour burden and prognosis in breast cancer treated with immune checkpoint inhibitors
    DOI: 10.1016/j.breast.2025.104586
  • 2025

    Journal article

    Whole-genome sequencing in breast cancer: is it ready for clinical application?
    DOI: 10.1016/S1470-2045(25)00428-0
  • 2025

    Journal article

    Impact of exercise on sexual health, body image, and therapy-related symptoms in women with metastatic breast cancer: The randomized controlled PREFERABLE-EFFECT trial
    DOI: 10.1002/ijc.35429
  • 2025

    Journal article

    Aboriginal and Torres Strait Islander Females and Survival from Breast Cancer
    DOI: 10.1158/1055-9965.EPI-24-1526
  • 2023

    Research grants (international)

    Virtual Cancer Prevention Centre
  • 2014

    Journal article

    Deciphering clonality in aneuploid breast tumors using SNP array and sequencing data
    DOI: 10.1186/s13059-014-0470-7
Peter Savas

RECENT SCHOLARLY WORKS

  • 2025

    Journal article

    Informing Implementation Strategies for Pharmacogenomics in Cancer: Development of Survey Tools for Healthcare Professionals and Consumers
    DOI: 10.1111/cts.70144
  • 2025

    Journal article

    Genomic Characterization and Prognostic Significance of Human Epidermal Growth Factor Receptor 2-Low, Hormone Receptor-Positive, Early Breast Cancers From the BIG 1-98 and SOFT Clinical Trials
    DOI: 10.1200/PO-24-00599
  • 2024

    Journal article

    Sustained lymphocyte decreases after treatment for early breast cancer
    DOI: 10.1038/s41523-024-00698-4
  • 2024

    Journal article

    Annotation-efficient deep learning for breast cancer whole-slide image classification using tumour infiltrating lymphocytes and slide-level labels
    DOI: 10.1038/s44172-024-00246-9
  • 2024

    Journal article

    The anti-cancer immune response in breast cancer: current and emerging biomarkers and treatments
    DOI: 10.1016/j.trecan.2024.02.008

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