Publications by authors named "Haydee Lara"

Artificial intelligence (AI) presents an opportunity in anatomic pathology to provide quantitative objective support to a traditionally subjective discipline, thereby enhancing clinical workflows and enriching diagnostic capabilities. AI requires access to digitized pathology materials, which, at present, are most commonly generated from the glass slide using whole-slide imaging. Models are developed collaboratively or sourced externally, and best practices suggest validation with internal datasets most closely resembling the data expected in practice.

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Article Synopsis
  • Tissue biomarkers are increasingly important for research, disease diagnosis, and predicting treatment responses.
  • There's a trend in using quantitative scores instead of just qualitative assessments for better analysis.
  • The paper discusses current quantitative image analysis technologies, their uses, challenges, and the regulations to ensure safe clinical practice.
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The field of digital pathology has rapidly expanded within the last few years with increasing adoption and growth in popularity. As digital pathology matures, it is apparent that we need well-trained individuals to manage our whole-slide imaging systems. This editorial introduces the joint National Society for Histotechnology and Digital Pathology Association online self-paced digital pathology certificate program which was launched in May 2018 that was established to meet this demand.

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Metastatic disease remains the primary cause of mortality in cancer patients. Yet the number of available in vitro models to study metastasis is limited by challenges in the recapitulation of the metastatic microenvironment in vitro, and by difficulties in maintaining colonized-tissue specificity in the expansion and maintenance of metastatic cells. Here, we show that decellularized scaffolds that retain tissue-specific extracellular-matrix components and bound signalling molecules enable, when seeded with colorectal cancer cells, the spontaneous formation of three-dimensional cell colonies that histologically, molecularly and phenotypically resemble in vivo metastases.

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Radiotherapy is a key component of cancer treatment. Because of its importance, there has been high interest in developing agents and strategies to further improve the therapeutic index of radiotherapy. DNA double-strand repair inhibitors (DSBRIs) are among the most promising agents to improve radiotherapy.

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Article Synopsis
  • Ovarian cancer is a major health threat, often diagnosed late when it spreads throughout the abdomen, highlighting the need for new treatment strategies.
  • Researchers developed an artificial transcription factor (ATF) to enhance the expression of Maspin, a protein that helps suppress metastasis, in aggressive ovarian cancer cell lines.
  • The study showed that using ATFs could effectively inhibit tumor growth and invasion in lab models, with promising implications for targeted therapies in advanced ovarian cancer.
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Maspin is a tumor and metastasis suppressor playing an essential role as gatekeeper of tumor progression. It is highly expressed in epithelial cells but is silenced in the onset of metastatic disease by epigenetic mechanisms. Reprogramming of Maspin epigenetic silencing offers a therapeutic potential to lock metastatic progression.

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