Publications by authors named "Henry Paik"

Article Synopsis
  • The study evaluated an algorithmic testing approach in hematopathology to enhance cost-effectiveness in test selection at Brigham and Women's Hospital and Dana-Farber Cancer Institute, especially for expensive molecular assays.
  • Researchers developed standard ordering protocols (SOPs) for 17 disease categories, comparing data from six months of beta testing to actual testing practices, along with two years of prospective data from a community site.
  • Results showed a massive improvement in test concordance after implementing SOPs, with a decrease in overordered tests and significant potential annual savings of over $1.3 million, indicating that algorithmic testing can streamline procedures without compromising vital information.
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Alternative splicing (AS) allows increased diversity and orthogonal regulation of the transcriptional products of mammalian genomes. To assess the distribution and variation of alternative splicing across cell lineages of the immune system, we comprehensively analyzed RNA sequencing and microarray data generated by the Immunological Genome Project Consortium. AS is pervasive: 60% of genes showed frequent AS isoforms in T or B lymphocytes, with 7,599 previously unreported isoforms.

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The development of targeted therapies for antiestrogen-resistant breast cancer requires a detailed understanding of its molecular characteristics. To further elucidate the molecular events underlying acquired resistance to the antiestrogens tamoxifen and fulvestrant, we established drug-resistant sublines from a single colony of hormone-dependent breast cancer MCF7 cells. These model systems allowed us to examine the cellular and molecular changes induced by antiestrogens in the context of a uniform clonal background.

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Motivation: To detect and select patterns of transcription factor binding sites (TFBSs) which distinguish genes directly regulated by estrogen receptor-alpha (ERalpha), we developed an innovative mixture model-based discriminate analysis for identifying ordered TFBS pairs.

Results: Biologically, our proposed new algorithm clearly suggests that TFBSs are not randomly distributed within ERalpha target promoters (P-value < 0.001).

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Article Synopsis
  • * Using microarray technology and advanced data classification algorithms, researchers identified 220 candidate methylated loci associated with reduced progression-free survival (PFS) in advanced ovarian cancer, with 112 of these being highly predictive of PFS.
  • * The findings suggest that these DNA methylation biomarkers could improve the assessment and management of ovarian cancer, demonstrating the effectiveness of innovative classification methods in identifying prognostic indicators.
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Synopsis of recent research by authors named "Henry Paik"

  • - Henry Paik's recent research primarily focuses on the optimization of molecular genetic testing in hematopathology, utilizing algorithmic approaches to improve cost-effectiveness in bone marrow testing, as showcased in his 2024 publication in JCO Oncol Pract.
  • - His prior work has also investigated alternative splicing in immune system cells, revealing a widespread occurrence of unreported isoforms, contributing to our understanding of immune cell regulation and function, as detailed in his 2013 study published in Proc Natl Acad Sci U S A.
  • - Additionally, Paik has explored various molecular characteristics related to breast cancer therapy resistance and DNA methylation biomarkers in ovarian cancer, emphasizing the significance of genetic and epigenetic factors in cancer progression and treatment outcomes, as mentioned in his earlier publications in Cancer Research and Clin Cancer Res.

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