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Volume 6 Issue 2, February 2025

Decoding determinants of cancer prognosis with AI

An explainable artificial intelligence model is leveraged to elucidate clinical variables that contribute to cancer prognoses.

See Keyl et al.

Image: Rasa Arlauskienė / Alamy Stock Photo. Cover design: Allen Beattie

Comment & Opinion

  • Training the next generation of cancer researchers is essential for the cancer research enterprise. However, training programs and methods to evaluate their effectiveness vary greatly across the USA and other countries. Here we discuss strategies to enhance cancer education and processes by which training may be standardized.

    • Brian Keith
    • Danny R. Welch
    • Harikrishna Nakshatri
    Comment

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Research Highlights

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News & Views

  • Although enhancing the GTPase activity of KRAS is an attractive approach to inhibit constitutively active, GTP-bound mutant KRAS, so far this has not been achieved. Now, a RAS inhibitor thought to act by preventing engagement of downstream effectors is shown to also reactivate cycling to the inactive GDP-bound state.

    • Adrienne D. Cox
    • Channing J. Der
    News & Views
  • Targeting mitochondrial metabolic activity is an active area of cancer research. A study now finds that a selective deficiency in mitochondrial complex I in melanoma cells increases mitochondrial acetyl-CoA levels, leading to epigenetic activation of genes encoding antigen-presentation molecules that enhances tumor immunogenicity and boosts the efficacy of immunotherapy.

    • Désirée Schatton
    • Christian Frezza
    News & Views
  • BRCA1 mediates homology-directed repair (HDR) of double-strand DNA breaks, explaining the sensitivity of BRCA1-deficient cancers to therapies that block DNA repair, while mutations that restore HDR cause therapy resistance. Research now reveals a mechanistically distinct vulnerability of BRCA1-deficient cancer cells to gap-inducing DNA nicks.

    • Katharina Schlacher
    News & Views
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Research Briefings

  • Mutations in ESR1, which encodes estrogen receptor-α (ERα), drive resistance to approved endocrine therapies in breast cancer. We studied the molecular response to the investigational ERα antagonist and degrader, giredestrant, in preclinical models and biopsy samples. We found that long-term inhibition or dysfunction of ERα result in cell plasticity with implications for therapeutic sensitivity.

    Research Briefing
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Reviews

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Research

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Amendments & Corrections

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