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Mashup Score: 0
Abstract. Since 2014, the NCI has launched a series of data commons as part of the Cancer Research Data Commons (CRDC) ecosystem housing genomic, proteomic, imaging, and clinical data to support cancer research and promote data sharing of NCI-funded studies. This review describes each data commons (Genomic Data Commons, Proteomic Data Commons, Integrated Canine Data Commons, Cancer Data Service, Imaging Data Commons, and Clinical and Translational Data Commons), including their unique and shared features, accomplishments, and challenges. Also discussed is how the CRDC data commons implement Findable, Accessible, Interoperable, Reusable (FAIR) principles and promote data sharing in support of the new NIH Data Management and Sharing Policy.See related articles by Brady et al., p. 1384, Pot et al., p. 1396, and Kim et al., p. 1404
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Mashup Score: 0OnlineFirst - 5 day(s) ago
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Mashup Score: 4Warburg Effect Reshapes Tumor Immunogenicity - 5 day(s) ago
Abstract. Tumor cells rewire their metabolism to fulfill the demands of highly proliferative cells. This changes cellular metabolism to adapt to fuel and oxygen availability for energy production and to increase the synthesis capacity of building blocks for cell division and growth. In addition, the metabolic shift also modulates the immunogenicity of the tumor cells. Recently, Mahmood and colleagues reported a connection between mitochondrial DNA mutations in cancer cells and their response to immunotherapy in a mouse model of melanoma.
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Mashup Score: 1
Abstract. More than ever, scientific progress in cancer research hinges on our ability to combine datasets and extract meaningful interpretations to better understand diseases and ultimately inform the development of better treatments and diagnostic tools. To enable the successful sharing and use of big data, the NCI developed the Cancer Research Data Commons (CRDC), providing access to a large, comprehensive, and expanding collection of cancer data. The CRDC is a cloud-based data science infrastructure that eliminates the need for researchers to download and store large-scale datasets by allowing them to perform analysis where data reside. Over the past 10 years, the CRDC has made significant progress in providing access to data and tools along with training and outreach to support the cancer research community. In this review, we provide an overview of the history and the impact of the CRDC to date, lessons learned, and future plans to further promote data sharing, accessibility, int
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Mashup Score: 3
Convergence Science | Cancer Research | American Association for Cancer Research .aacrcontent { display: flex; flex-direction: row; justify-content: space-between; align-items: stretch; } .intro { margin-top: 26px; font-size: 1.2em; } /* ****************** LEFT SIDE ****************** */ .left-side{ color: #000000; background-color: #fff; max-width: 710px; margin-right: 26px; } .left-side h3{ margin-bottom: 26px; } .node { line-height: 1.2em; margin-left: 12px; } .node2 {line-height: 1.0em; }…
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Mashup Score: 18
Adaptation of transfer learning to relate human single-cell RNA sequencing data to organoid-CAF cocultures facilitates discovery of human pancreatic cancer intercellular interactions and uncovers cross-talk between CAFs and tumor cells through VEGFA and ITGB1.
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New in Convergence Science from the May 1 issue— Transfer Learning Reveals Cancer-Associated Fibroblasts Are Associated with EMT & Inflammation in Cancer Cells in PDAC, by Samantha Guinn, @DrRABurkhart, @FertigLab, @JZimmermanMDPhD et al. https://t.co/3RATluwLuh @ConvergenceInst https://t.co/TLHPNiaHGX
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Mashup Score: 1
Cancer Research | 84 | 9 | May 2024
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Mashup Score: 3Supporting Convergence Science - 11 day(s) ago
Scientific publishing is a cornerstone of disseminating knowledge. One caveat of scientific publishing is that at any one time it is biased toward certain topics relative to others, a reflection of the dynamic nature of scientific discovery over time and the emergence of new technologies. As a result, some areas of cancer biology remain understudied and poorly understood. This reality is compounded by additional factors at play. For example, the ability to bridge gaps in knowledge may prove difficult if investigators from disparate fields are unaware of each other’s work; such investigators may be located in entirely different institutions, if not countries. Alternatively, some areas of cancer research have remained understudied because there is a need for technologies or datasets that have yet to be created. Collectively, these “missed” opportunities within scientific publishing that are centered within the realm of convergence science represent an opportunity for Cancer Research.To s
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Mashup Score: 2
Abstract. Serine metabolism plays a pivotal role in cancer, making it an appealing therapeutic target. Two recent studies published in Nature Metabolism and Science Translational Medicine uncovered novel players and therapeutic opportunities within this crucial metabolic pathway. Papalazarou and colleagues employed genetic tools coupled with metabolomics and high-throughput imaging to identify and characterize membrane transporters involved in serine uptake and mitochondrial import in colorectal cancer. Notably, they showed that dual inhibition of these transporters in combination with impaired serine biosynthesis reduced tumor growth in xenograft models. In a parallel study, Zhang and colleagues identified isocitrate dehydrogenase I (IDH1) as a novel regulator of serine biosynthesis in non–small cell lung cancer. Through extensive mechanistic studies, they demonstrated that IDH1 enhances the expression of the key enzymes phosphoglycerate dehydrogenase and phosphoserine aminotransferas
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Mashup Score: 1Th17 Cells Secrete TWEAK to Trigger Epithelial–Mesenchymal Transition and Promote Colorectal Cancer Liver Metastasis - 12 day(s) ago
TWEAK secreted by Th17 cells promotes EMT by binding to Fn14 on colorectal cancer cells, suggesting that blocking the TWEAK-Fn14 interaction may be a promising therapeutic approach to inhibit liver metastasis.
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New review from the May 1 issue— NCI Cancer Research Data Commons: Resources to Share Key Cancer Data, by Zhining Wang et al. https://t.co/GE3RtpV0H8 @NCIDataSci https://t.co/7uFpp0UX1A https://t.co/7WzdQxwWp1