A new editorial paper titled "Potential repurposing of DPP4 inhibitors for target therapy resistance in renal cell carcinoma" has been published in Oncotarget.
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Healthy cells work hard to maintain the integrity of our DNA, but occasionally, a chromosome can get separated from the others and break apart during cell division. The tiny fragments of DNA then get reassembled in random ...
Jun 15, 2023
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Genomic studies of cancer patients have revealed thousands of mutations linked to tumor development. However, for the vast majority of those mutations, researchers are unsure of how they contribute to cancer because there's ...
May 11, 2023
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A new study led by researchers at The University of Texas MD Anderson Cancer Center has discovered that co-occurring mutations in three tumor suppressor genes—KEAP1, SMARCA4 and CDKN2A—are linked with poor clinical outcomes ...
Apr 17, 2023
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Understanding how cancer develops is critical for designing effective, personalized cancer therapies. Researchers have known for years that cancer begins with mutations in certain types of genes. One of these types of cancer ...
Apr 6, 2023
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The number of immune cells in and around kidney tumors, the amount of dead cancer tissue, and mutations to a tumor suppressor gene called PBRM1 form a biomarker signature that can predict—before treatment begins—how well ...
Apr 6, 2023
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Human papillomavirus (HPV)-negative head and neck squamous cell carcinoma (HNSCC) and lung cancer can have disruptive mutations in TP53 and/or CDKN2A tumor suppressor genes, which are associated with poor patient survival.
Apr 5, 2023
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Drs. Akash Patel and Tiemo Klisch, investigators at the Jan and Dan Duncan Neurological Research Institute (Duncan NRI) at Texas Children's Hospital and faculty at Baylor College of Medicine, have found that the loss of a ...
Feb 17, 2023
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Cancer is a disease driven by gene mutations. These mutated genes in cancer fall into two major categories: tumor suppressors and oncogenes. Mutations in tumor suppressor genes can allow tumors to grow unchecked—a case ...
Feb 10, 2023
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Researchers at the University of Sussex are using Artificial Intelligence (AI) technology to analyze different types of cancer cells to understand different gene dependencies, and to identify genes that are critical to a ...
Feb 3, 2023
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