Publications by authors named "Tonje Husby Haukaas"

While chemotherapy alone or in combination with radiotherapy and surgery are important modalities in the treatment of colorectal cancer, their widespread use is not paired with an abundance of diagnostic tools to match individual patients with the most effective standard-of-care chemo- or radiotherapy regimens. Patient-derived organoids are tumour-derived structures that have been shown to retain certain aspects of the tissue of origin. We present here a systematic review of studies that have tested the performance of patient derived organoids to predict the effect of anti-cancer therapies in colorectal cancer, for chemotherapies, targeted drugs, and radiation therapy, and we found overall a positive predictive value of 68% and a negative predictive value of 78% for organoid informed treatment, which outperforms response rates observed with empirically guided treatment selection.

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In the dairy breeding industry, prediction of bull fertility in artificial insemination (AI) is important for efficient and economically sustainable production. However, it is challenging to identify bulls with superior fertility applying conventional in vitro sperm assays. In the present study, sperm functionality was investigated to identify a multivariate model that could predict fertility.

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Article Synopsis
  • Breast cancer is a diverse disease that can be classified using various molecular data types, and this study aims to identify integrated subtypes by examining these different classifications.
  • Researchers analyzed tumor samples from 425 breast cancer patients and used techniques to isolate DNA, RNA, proteins, and metabolites, leading to the discovery of multiple subtypes through various clustering methods.
  • The study ultimately identified six major tumor groups that correlate strongly with mRNA subtypes, highlighting the importance of specific microRNAs in distinguishing subtypes and their potential role in cancer cell survival.
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