Publications by authors named "X T Reveles"

Article Synopsis
  • - The study explores a new sputum-based test called CyPath Lung, which combines flow cytometry and machine learning to help doctors make decisions regarding lung nodules identified through low-dose spiral CT scans.
  • - The test analyzes induced sputum samples for cancer-associated cells, achieving a predictive model with high accuracy (AUC of 0.89) and strong sensitivity and specificity, particularly for smaller nodules.
  • - The results suggest that CyPath Lung is a promising tool for identifying lung cancer risks in high-risk patients and maintains effectiveness across various sample processing conditions.
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Low dose computed tomography (LDCT) is the standard of care for lung cancer screening in the United States (US). LDCT has a sensitivity of 93.8% but its specificity of 73.

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Sputum, widely used to study the cellular content and other microenvironmental features to understand the health of the lung, is traditionally analyzed using cytology-based methodologies. Its utility is limited because reading the slides is time-consuming and requires highly specialized personnel. Moreover, extensive debris and the presence of too many squamous epithelial cells (SECs), or cheek cells, often renders a sample inadequate for diagnosis.

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Background: There is a clinical need for routinely available genomic biomarker testing in newly diagnosed ovarian cancer. In the current study we performed molecular cytogenetics using a validated array based comparative genomic hybridization (array CGH) assay to screen for the presence of predictive and prognostic biomarkers in archival diagnostic tissue from ovarian cancer patients. We hypothesized that biomarkers of high-risk disease would be detectable in tumor samples from patients with treatment refractory, advanced disease, and would be detected less frequently in tumor samples from patients with more favorable outcomes.

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Polyhomeotic-like 3 (PHC3) is a ubiquitously expressed member of the polycomb gene family and part of the human polycomb complex hPRC-H. We found that in normal cells PHC3 associated with both hPRC-H complex components and with the transcription factor E2F6. In differentiating and confluent cells, PHC3 and E2F6 showed nuclear colocalization in a punctate pattern that resembled the binding of polycomb bodies to heterochromatin.

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