Publications by authors named "Lee-Ann Tjon Kon Fat"

Article Synopsis
  • Early detection of tumors in cancer patients leads to better treatment outcomes for less advanced cancers.
  • Tumor-educated platelets (TEPs) can be used for cancer detection via RNA-based blood tests, identifying 18 different cancer types with high accuracy.
  • The thromboSeq test showed 99% specificity in asymptomatic controls, accurately detecting two-thirds of cancers in advanced stages, and helped determine the origin of tumors in over 80% of cases.
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Increasing evidence indicates calcium-binding S100 protein involvement in inflammation and tumor progression. In this prospective study, we evaluated the mRNA levels of two members of this family, and , in peripheral blood mononuclear cells (PBMCs) in a cohort of 121 prostate cancer patients using RT-PCR. Furthermore, monocyte count was determined by flow cytometry.

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Background: Novel therapies for castration resistant prostate cancer (CRPC) have been introduced in the clinic with possibilities for individualized treatment plans. Best practice of those expensive drugs requires predictive biomarker monitoring. This study used circulating biomarker analysis to follow cancer-derived transcripts implicated in therapy resistance.

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Platelets are involved in several steps of cancer metastasis. During this process, platelets are exposed to the tumor and its environment, thereby exchanging biomolecules with the tumor cells and resulting in tumor-mediated "education" of the platelets and a change in their RNA profile. Analysis of platelet RNA profiles or direct measurement of tumor-derived biomarkers within platelets can provide information on ongoing cancer-related processes in the individual (e.

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Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promising biomarker sources for non-invasive detection of cancer. Here we demonstrate that particle-swarm optimization (PSO)-enhanced algorithms enable efficient selection of RNA biomarker panels from platelet RNA-sequencing libraries (n = 779). This resulted in accurate TEP-based detection of early- and late-stage non-small-cell lung cancer (n = 518 late-stage validation cohort, accuracy, 88%; AUC, 0.

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Background: Tumor cells present high levels of oxidative stress. Cancer therapeutics exploiting such biochemical changes by increasing reactive oxygen species (ROS) production or decreasing intracellular ROS scavengers could provide a powerful treatment strategy.

Methods: To test the effect of our compound, obtusaquinone (OBT), we used several cell viability assays on seven different glioblastoma (GBM) cell lines and primary cells and on 12 different cell lines representing various cancer types in culture as well as on subcutaneous (n = 7 mice per group) and two intracranial GBM (n = 6-8 mice per group) and breast cancer (n = 6 mice per group) tumor models in vivo.

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Nuclear factor kappaB (NF-kappaB) is a transcription factor that plays a major role in many human disorders, including immune diseases and cancer. We designed a reporter system based on NF-kappaB responsive promoter elements driving expression of the secreted Gaussia princeps luciferase (Gluc). We show that this bioluminescent reporter is a highly sensitive tool for noninvasive monitoring of the kinetics of NF-kappaB activation and inhibition over time, both in conditioned medium of cultured cells and in the blood and urine of animals.

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Gaussia luciferase (Gluc) is a sensitive reporter for studying different biological processes such as gene expression, promoter activity, protein-protein interactions, signal transduction, as well as tumor cell growth and response to therapy. Since Gluc is naturally secreted, the kinetics of these processes can be monitored in real-time by measuring an aliquot of conditioned medium in culture or a few microliters of blood in vivo at different time points. Gluc catalyzes light emission with a short half-life which is unfavorable for certain applications.

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