Publications by authors named "C C Sigman"

The analysis of big healthcare data has enormous potential as a tool for advancing oncology drug development and patient treatment, particularly in the context of precision medicine. However, there are challenges in organizing, sharing, integrating, and making these data readily accessible to the research community. This review presents five case studies illustrating various successful approaches to addressing such challenges.

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Big data in healthcare can enable unprecedented understanding of diseases and their treatment, particularly in oncology. These data may include electronic health records, medical imaging, genomic sequencing, payor records, and data from pharmaceutical research, wearables, and medical devices. The ability to combine datasets and use data across many analyses is critical to the successful use of big data and is a concern for those who generate and use the data.

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Article Synopsis
  • The treatment landscape for multiple myeloma is rapidly changing with new agents allowing for minimal residual disease (MRD) negativity to be more achievable across all stages of the disease.
  • Advanced technologies like next-generation flow and sequencing are enhancing the detection and monitoring of MRD, while promising liquid biopsy techniques are being developed to deepen our understanding of it.
  • Clinicians are increasingly considering MRD status to inform treatment decisions, as ongoing studies highlight its potential importance for improving patient outcomes and guiding future research and clinical trials.
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Background: The Lung Cancer Master Protocol (Lung-MAP; S1400) is a completed biomarker-driven master protocol designed to address an unmet need for better therapies for squamous non-small-cell lung cancer. Lung-MAP (S1400) was created to establish an infrastructure for biomarker screening and rapid regulatory intent evaluation of targeted therapies and was the first biomarker-driven master protocol initiated with the US National Cancer Institute (NCI).

Methods: Lung-MAP (S1400) was done within the National Clinical Trials Network of the NCI using a public-private partnership.

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The promise of precision medicine as a model to customize health care to the individual patient is heavily dependent upon new genetic tools to classify and characterize diseases and their hosts. Liquid biopsies serve as a safe alternative to solid biopsies and are thus a useful and critical component to fully realizing personalized medicine. The International Liquid Biopsy Standardization Alliance (ILSA) comprises organizations and foundations that recognize the importance of working towards the global use of liquid biopsy in oncology practice to support clinical decision making and regulatory considerations and seek to promote it in their communities.

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