Publications by authors named "Brian D Woodward"

Article Synopsis
  • * A study analyzed fragmentation patterns of cell-free DNA in 236 cancer patients and 245 healthy individuals, revealing distinct profiles: healthy individuals had patterns similar to white blood cells, while cancer patients showed altered profiles.
  • * A machine learning model using these fragmentation patterns achieved high sensitivity (57% to over 99%) for detecting various cancers, and when combined with mutation analysis, it identified 91% of cancer cases, suggesting its potential for cancer screening and monitoring.
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EGFR-activating mutations are observed in approximately 15% to 20% of patients with non-small cell lung cancer. Tyrosine kinase inhibitors have provided an illustrative example of the successes in targeting oncogene addiction in cancer and the role of tumor-specific adaptations conferring therapeutic resistance. The compound osimertinib is a third-generation tyrosine kinase inhibitor, which was granted full FDA approval in March 2017 based on targeting EGFR T790M resistance.

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With the advent of precision oncology, there is an urgent need to develop improved methods for rapidly detecting responses to targeted therapies. Here, we have developed an ultrasensitive measure of cell-free tumor load using targeted and whole-genome sequencing approaches to assess responses to tyrosine kinase inhibitors in patients with advanced lung cancer. Analyses of 28 patients treated with anti-EGFR or HER2 therapies revealed a bimodal distribution of cell-free circulating tumor DNA (ctDNA) after therapy initiation, with molecular responders having nearly complete elimination of ctDNA (>98%).

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Early detection and intervention are likely to be the most effective means for reducing morbidity and mortality of human cancer. However, development of methods for noninvasive detection of early-stage tumors has remained a challenge. We have developed an approach called targeted error correction sequencing (TEC-Seq) that allows ultrasensitive direct evaluation of sequence changes in circulating cell-free DNA using massively parallel sequencing.

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With the implementation of genomic technologies into clinical practice, we have examples of the predictive benefit of targeted therapy for oncogene-addicted cancer and identified molecular dependencies in non-small cell lung cancer. The clinical success of tyrosine kinase inhibitors against epidermal growth factor receptor and anaplastic lymphoma kinase activation has shifted treatment emphasize the separation of subsets of lung cancer and genotype-directed therapy. Advances have validated oncogenic driver genes and led to the development of targeted agents.

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