• Mashup Score: 38
    Pan-Cancer Analysis of Postdiagnosis Exercise and Mortality - 8 month(s) ago

    PURPOSE The impact of postdiagnosis exercise on cause-specific mortality in cancer survivors and whether this differs on the basis of cancer site is unclear. METHODS We performed an analysis of 11,480 patients with cancer enrolled in the Prostate, Lung, Colorectal, and Ovarian cancer screening trial. Patients with a confirmed diagnosis of cancer completing a standardized survey quantifying exercise after diagnosis were included. The primary outcome was all-cause mortality (ACM); secondary end points were cancer mortality and mortality from other causes. Cox models were used to estimate the cause-specific hazard ratios (HRs) for ACM, cancer, and noncancer mortality as a function of meeting exercise guidelines versus not meeting guidelines with adjustment for important clinical covariates. RESULTS After a median follow-up of 16 years from diagnosis, 4,665 deaths were documented (1,940 due to cancer and 2,725 due to other causes). In multivariable analyses, exercise consistent with guidel

    Source: ascopubs.org
    Categories: Latest Headlines, Partners & KOLs
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      ASCO

      RT @RyanNipp: Pan-Cancer Analysis of Postdiagnosis Exercise and Mortality. https://t.co/ppGG4RY3pO @ASCO @JCO_ASCO @JCOOP_ASCO @DrBetofM…

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      chfloudas

      RT @RyanNipp: Pan-Cancer Analysis of Postdiagnosis Exercise and Mortality. https://t.co/ppGG4RY3pO @ASCO @JCO_ASCO @JCOOP_ASCO @DrBetofM…

  • Mashup Score: 3
    Applications of large language models in cancer care: current evidence and future perspectives - 8 month(s) ago

    The development of large language models (LLMs) is a recent success in the field of generative artificial intelligence (AI). They are computer models able to perform a wide range of natural language processing tasks, including content generation, question answering, or language translation. In recent months, a growing number of studies aimed to assess their potential applications in the field of medicine, including cancer care. In this mini review, we described the present published evidence for using LLMs in oncology. All the available studies assessed ChatGPT, an advanced language model developed by OpenAI, alone or compared to other LLMs, such as Google Bard, Chatsonic, and Perplexity. Although ChatGPT could provide adequate information on the screening or the management of specific solid tumors, it also demonstrated a significant error rate and a tendency toward providing obsolete data. Therefore, an accurate, expert-driven verification process remains mandatory to avoid the potent

    Source: www.frontiersin.org
    Categories: Hem/Oncs, Latest Headlines
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      chfloudas

      Our brief review of research (as opposed to blogposts/social media posts) on applications of #LLM chatbots in #oncology care, with @GMIannantuonoMD @DBrackenClarke @gulleyj1 and @FatimaKarzai. I expect a lot more to come as use cases get identified. https://t.co/75ohTBgw4W

  • Mashup Score: 1
    Spatial Transcriptomic Analysis of Pituitary Corticotroph Tumors Unveils Intratumor Heterogeneity - 9 month(s) ago

    Spatial transcriptomic (ST) analysis of tumors provides a novel approach on studying gene expression along with the localization of tumor cells in their environment to uncover spatial interactions. Herein, we present ST analysis of corticotroph pituitary neuroendocrine tumors (PitNETs) from formalin-fixed, paraffin-embedded (FFPE) tissues. We report that the in situ annotation of tumor tissue can be inferred from the gene expression profiles and is in concordance with the annotation made by a pathologist. Furthermore, relative gene expression in the tumor corresponds to common protein staining used in the evaluation of PitNETs, such as reticulin and Ki-67 index. Finally, we identify intratumor heterogeneity; clusters within the same tumor may present with different secretory capacity and transcriptomic profiles, unveiling potential intratumor cell variability with possible therapeutic interest. Together, our results provide the first attempt to clarify the spatial cell profile in PitNE

    Source: www.medrxiv.org
    Categories: Latest Headlines, Oncologists1
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      chfloudas

      Excited for participating in this #spatialtranscriptomics #Visium platform study with an expert team from @NICHD_NIH, in the first step of studying the spatial biology of #pituitary corticotroph tumors, revealing their heterogeneity. https://t.co/SANbr315Iz

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