著者
Kentaro CHIBA Yasuo AIHARA Yuichi ODA Kenta MASUI Takashi KOMORI Hideaki YOKOO Takakazu KAWAMATA
出版者
The Japan Neurosurgical Society
雑誌
NMC Case Report Journal (ISSN:21884226)
巻号頁・発行日
vol.10, pp.265-271, 2023-12-31 (Released:2023-10-14)
参考文献数
32

Extracranial brain tumor metastases are extremely rare. The etiology, pathophysiology, and clinical progression of systemic metastatic brain cancer remain to be elucidated. We encountered a case of pediatric diffuse high-grade astrocytoma in a four-year-old girl with subcutaneous and lymph node metastases. Numerous metastatic lesions emerged, progressed rapidly, and were difficult to manage despite temozolomide (TMZ) administration. The patient underwent repeated surgical resection for these lesions. Conversely, the primary intracranial lesions responded well to TMZ for some time. However, the patient died 15 months after the initial diagnosis. Extracranial metastasis and highly varying effects of chemotherapy were the characteristic clinical features in this case. Our analysis did not reveal definitive histopathological and molecular factors contributing to this presentation. The lack of notable molecular pathological features illustrates the unpredictability of glioma metastasis, and the treatment for extracranial metastasis remains unknown. A gene panel analysis revealed several genetic aberrations, including PDGFRA, PIK3CA, and NBN mutations. As it is impossible to resect all frequently and rapidly progressing lesions, we stress that the prognosis of metastatic brain tumors is undoubtedly poor if these tumors are refractory to existing treatments, including chemotherapy.
著者
Yuichi ODA Kosaku AMANO Kentaro CHIBA Kenta MASUI Takakazu KAWAMATA
出版者
The Japan Neurosurgical Society
雑誌
NMC Case Report Journal (ISSN:21884226)
巻号頁・発行日
vol.10, pp.285-289, 2023-12-31 (Released:2023-10-14)
参考文献数
19

As per the 2021 World Health Organization (WHO) Classification of Tumors of the Central Nervous System, chordoid glioma (CG) is defined as a slow-growing glial neoplasm categorized as grade II tumor. This tumor is primarily located in the anterior part of the third ventricle, often adheres to important surrounding structures, and is hemorrhagic in nature. Therefore, dissecting this tumor is extremely difficult. In this study, we present the case of a 44-year-old man who initially complained of mild headache and was diagnosed with a homogeneous gadolinium-enhanced lesion in the third ventricle via magnetic resonance imaging. The pathological diagnosis based on his biopsy at the previous hospital was CG. The patient demonstrated no neurological deficit at that time, but the tumor had gradually grown, hydrocephalus appeared 2 years after the tumor was detected, and the patient developed short memory disorder and daytime sleepiness. We resected the tumor via the anterior interhemispheric trans-lamina terminalis approach using a microscope and an endoscope. The residual tumor at the blind spot of the microscopic view was resected under an angled rigid endoscopic view using dedicated tools for transsphenoidal surgery. The tumor was grossly resected, and the histopathological diagnosis was CG. Postoperative neurological findings included slight memory disorder and hypothalamic adrenal dysfunction. No tumor recurrence was reported 3 years post resection. The endoscope-assisted anterior interhemispheric trans-lamina terminalis approach was determined useful for CG resection with minimal surgical complications and without tumor recurrence.
著者
Kenta Masui Mio Harachi Webster K. Cavenee Paul S. Mischel Noriyuki Shibata
出版者
JAPAN SOCIETY OF HISTOCHEMISTRY AND CYTOCHEMISTRY
雑誌
ACTA HISTOCHEMICA ET CYTOCHEMICA (ISSN:00445991)
巻号頁・発行日
vol.53, no.1, pp.1-10, 2020-02-28 (Released:2020-02-28)
参考文献数
85
被引用文献数
21

Cancer is widely considered to be a set of genetic diseases that are currently classified by tissue and cell type of origin and, increasingly, by its molecular characteristics. This latter aspect is based primarily upon oncogene gains, tumor suppressor losses, and associated transcriptional profiles. However, cancers are also characterized by profound alterations in cellular metabolism and epigenetic landscape. It is particularly noteworthy that cancer-causing genomic defects not only activate cell cycle progression, but regulate the opportunistic uptake and utilization of nutrients, effectively enabling tumors to maximize growth and drug resistance in changing tissue and systemic microenvironments. Shifts in chromatin architecture are central to this dynamic behavior. Further, changes in nutrient uptake and utilization directly affect chromatin structure. In this review, we describe a set of recent discoveries of metabolic and epigenetic reprogramming in cancer, and especially focus on the genomically well-characterized brain tumor, glioblastoma. Further, we discuss a new mode of metabolic regulation driven by epigenetic mechanisms, that enables cancer cells to autonomously activate iron metabolism for their survival. Together, these underscore the integration of genetic mutations with metabolic reprogramming and epigenetic shifts in cancer, suggesting a new means to identifying patient subsets suitable for specific precision therapeutics.
著者
Kenta Masui Genki Okada Norimichi Tsumura
出版者
The Institute of Image Information and Television Engineers
雑誌
ITE Transactions on Media Technology and Applications (ISSN:21867364)
巻号頁・発行日
vol.8, no.1, pp.49-59, 2020 (Released:2020-01-01)
参考文献数
35
被引用文献数
10

The market size of online video advertising is expanding rapidly along with the spread of smartphones and social media. In this study, we estimate advertising effectiveness in the natural environment using online data collection and the remote measurement of webcam facial expressions and physiological responses. We collected 4, 108 videos of the faces of 411 Japanese people who were watching the video advertisement in their natural environment via the Internet. Facial expression and physiological responses such as heart rate and gaze were remotely measured by analyzing facial videos. We found that the accuracies of ad liking and purchase intent prediction are better when various acquired features are combined and machine learning is used than when only single-mode features are used. In addition, we aim to improve prediction accuracy by clustering the personality of the subjects and designing an estimation model for each personality.