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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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Future paradigms for precision oncology.

Giannoula Lakka Klement1,2, Knarik Arkun3, Dalibor Valik4,5

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Cancer

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Area of Science:

  • Oncology
  • Genomics
  • Proteomics
  • Metabolomics

Background:

  • Cancer is a heterogeneous disease with significant inter-tumoral and intra-tumoral variability.
  • Traditional histology-based cancer diagnosis and treatment face challenges due to molecular heterogeneity.
  • Conventional diagnostic categories limit the integration of molecular data across tissue types.

Observation:

  • Physicians struggle to keep pace with scientific advances and manage vast amounts of molecular data.
  • Despite the Human Genome Project completion, patients have not fully benefited from genomic information.
  • Overwhelming data prevents physicians from independently processing molecular profiles for safe, effective therapies.

Findings:

  • A paradigm shift in cancer diagnosis and treatment is necessary to integrate genomic, proteomic, and metabolomic data.
  • Physicians require tools to interpret patient-specific molecular profiles for quantitative precision medicine.
  • The consensus identifies needed practice changes and proposes solutions for informational overload in molecular therapeutics.

Implications:

  • Implementing quantitative precision medicine can improve patient outcomes by leveraging molecular insights.
  • Developing systems to support physicians in interpreting complex molecular data is crucial.
  • Bridging the gap between molecular data and clinical practice is essential for advancing cancer care.