Browsing MIT Open Access Articles by Subject "Cancer Research"

Now showing items 1-5 of 5

    • Enhancing Whole-Brain Magnetic Field Homogeneity for 3D-Magnetic Resonance Spectroscopic Imaging with a Novel Unified Coil: A Preliminary Study 

      Malagi, Archana Vadiraj; Li, Xinqi; Zhang, Na; Liu, Yucen; Huang, Yuheng; e.a. (MDPI AG, 2024-03-21)
      The spectral quality of magnetic resonance spectroscopic imaging (MRSI) can be affected by strong magnetic field inhomogeneities, posing a challenge for 3D-MRSI’s widespread clinical use with standard scanner-equipped ...

    • Identification of a Gene Signature That Predicts Dependence upon YAP/TAZ-TEAD 

      Kanai, Ryan; Norton, Emily; Stern, Patrick; Hynes, Richard O.; Lamar, John M. (MDPI AG, 2024-02-20)
      Targeted therapies are effective cancer treatments when accompanied by accurate diagnostic tests that can help identify patients that will respond to those therapies. The YAP/TAZ-TEAD axis is activated and plays a causal ...

    • Impact of oncogenic pathways on evasion of antitumour immune responses 

      Spranger, Stefani (Springer Science and Business Media LLC, 2018-01-12)
      Immunotherapeutic interventions are showing effectiveness across a wide range of cancer types, but only a subset of patients shows clinical response to therapy. Responsiveness to checkpoint blockade immunotherapy is favoured ...

    • Increased PHGDH expression promotes aberrant melanin accumulation 

      Mattaini, Katherine R.; Sullivan, Mark R.; Lau, Allison N.; Fiske, Brian P.; Vander Heiden, Matthew G. (Springer Science and Business Media LLC, 2019-07-22)
      Background: Copy number gain of the D-3-phosphoglycerate dehydrogenase (PHGDH) gene, which encodes the first enzyme in serine biosynthesis, is found in some human cancers including a subset of melanomas. Methods: In order ...

    • Microfluidic vascular models of tumor cell extravasation 

      Kim, Seunggyu; Wan, Zhengpeng; Jeon, Jessie S.; Kamm, Roger D. (Frontiers Media SA, 2022-11-11)
      <jats:p>Emerging microfluidic disease models have amply demonstrated their value in many fields of cancer research. These <jats:italic>in vitro</jats:italic> technologies recapitulate key aspects of metastatic cancer, ...