Publications by authors named "Y Yoshioka"
Background: Few studies have examined the prognosis of long-term gastric cancer (GC) survivors after gastrectomy. This study aimed to identify the prognostic factors for 5-year recurrence-free survivors after gastrectomy for GC.
Methods: A total of 721 patients with pathological stage Ⅰ-Ⅲ GC who underwent gastrectomy between 2005 and 2018 and survived for 5 years without recurrence were enrolled.
[A Case of Breast Cancer Recurrence 32 Years after Primary Surgery].
Gan To Kagaku Ryoho
December 2024
Article Synopsis
- An 80-year-old woman with a history of breast cancer presented with bloody sputum and multiple lung nodules, diagnosed as metastases through a biopsy.
- Initial treatment with denosumab and an aromatase inhibitor led to a 3-year period of tumor shrinkage, followed by regrowth of peritoneal metastases.
- After experiencing severe side effects from second-line chemotherapy, fulvestrant was administered, resulting in long-term tumor shrinkage without negatively impacting her quality of life; this case highlights a rare recurrence of breast cancer 32 years post-surgery.
Messenger RNA vaccines based on lipid nanoparticles (mRNA-LNPs) are promising vaccine modalities. However, mRNA-LNP vaccines frequently cause adverse reactions such as swelling and fever in humans, partly due to the inflammatory nature of LNP. Modification of the ionizable lipids used in LNPs is one approach to avoid these adverse reactions.
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- Mutations in certain genes are associated with frontotemporal lobar degeneration (FTLD), but whether these mutations lead to gain or loss of function is still debated.
- Research using Drosophila flies showed that knocking down the TER94 gene, similar to the human gene VCP/p97, resulted in severe health issues like early death and changes in brain structure, which were not restored by a known mutant version of the gene.
- The study implies that the issues caused by TER94 knockdown are due to loss-of-function effects, particularly affecting cell proliferation and leading to the loss of another protein, TBPH, from cell nuclei.
Article Synopsis
- * Five healthcare institutions tested this model on prostate cancer treatments, comparing how well each model could estimate dosimetric parameters and plan quality.
- * Results showed the Multi-coll. model was more accurate in its estimates and provided better plan quality, particularly in reducing radiation exposure to the rectum and bladder.