Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Prognosis prediction via histological evaluation of cellular heterogeneity in glioblastoma
by
Kirishima, Mari
, Hanaya, Ryosuke
, Uchida, Hiroyuki
, Yoshimoto, Koji
, Akahane, Toshiaki
, Higa, Nayuta
, Yonezawa, Hajime
, Yokoyama, Seiya
, Yamamoto, Junkoh
, Matsuo, Kei
, Tanimoto, Akihide
in
692/308
/ 692/4017
/ 692/4028
/ Adult
/ Aged
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Brain cancer
/ Brain Neoplasms - genetics
/ Brain Neoplasms - mortality
/ Brain Neoplasms - pathology
/ Cell heterogeneity
/ Cells
/ Central nervous system
/ Chemotherapy
/ Classification
/ Diagnosis
/ DNA Methylation
/ DNA methyltransferase
/ Embedding
/ Female
/ Gemistocyte
/ Genes
/ Glioblastoma
/ Glioblastoma - diagnosis
/ Glioblastoma - genetics
/ Glioblastoma - mortality
/ Glioblastoma - pathology
/ Glioma
/ Heterogeneity
/ Humanities and Social Sciences
/ Humans
/ Male
/ Medical prognosis
/ Methylation of MGMT promoter
/ Methylguanine
/ Middle Aged
/ Morphology
/ multidisciplinary
/ Mutation
/ Nervous system
/ Neurosurgery
/ Patients
/ Prognosis
/ Promoter Regions, Genetic - genetics
/ Radiation therapy
/ Science
/ Science (multidisciplinary)
/ Tumors
/ University graduates
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Prognosis prediction via histological evaluation of cellular heterogeneity in glioblastoma
by
Kirishima, Mari
, Hanaya, Ryosuke
, Uchida, Hiroyuki
, Yoshimoto, Koji
, Akahane, Toshiaki
, Higa, Nayuta
, Yonezawa, Hajime
, Yokoyama, Seiya
, Yamamoto, Junkoh
, Matsuo, Kei
, Tanimoto, Akihide
in
692/308
/ 692/4017
/ 692/4028
/ Adult
/ Aged
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Brain cancer
/ Brain Neoplasms - genetics
/ Brain Neoplasms - mortality
/ Brain Neoplasms - pathology
/ Cell heterogeneity
/ Cells
/ Central nervous system
/ Chemotherapy
/ Classification
/ Diagnosis
/ DNA Methylation
/ DNA methyltransferase
/ Embedding
/ Female
/ Gemistocyte
/ Genes
/ Glioblastoma
/ Glioblastoma - diagnosis
/ Glioblastoma - genetics
/ Glioblastoma - mortality
/ Glioblastoma - pathology
/ Glioma
/ Heterogeneity
/ Humanities and Social Sciences
/ Humans
/ Male
/ Medical prognosis
/ Methylation of MGMT promoter
/ Methylguanine
/ Middle Aged
/ Morphology
/ multidisciplinary
/ Mutation
/ Nervous system
/ Neurosurgery
/ Patients
/ Prognosis
/ Promoter Regions, Genetic - genetics
/ Radiation therapy
/ Science
/ Science (multidisciplinary)
/ Tumors
/ University graduates
2024
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Prognosis prediction via histological evaluation of cellular heterogeneity in glioblastoma
by
Kirishima, Mari
, Hanaya, Ryosuke
, Uchida, Hiroyuki
, Yoshimoto, Koji
, Akahane, Toshiaki
, Higa, Nayuta
, Yonezawa, Hajime
, Yokoyama, Seiya
, Yamamoto, Junkoh
, Matsuo, Kei
, Tanimoto, Akihide
in
692/308
/ 692/4017
/ 692/4028
/ Adult
/ Aged
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Brain cancer
/ Brain Neoplasms - genetics
/ Brain Neoplasms - mortality
/ Brain Neoplasms - pathology
/ Cell heterogeneity
/ Cells
/ Central nervous system
/ Chemotherapy
/ Classification
/ Diagnosis
/ DNA Methylation
/ DNA methyltransferase
/ Embedding
/ Female
/ Gemistocyte
/ Genes
/ Glioblastoma
/ Glioblastoma - diagnosis
/ Glioblastoma - genetics
/ Glioblastoma - mortality
/ Glioblastoma - pathology
/ Glioma
/ Heterogeneity
/ Humanities and Social Sciences
/ Humans
/ Male
/ Medical prognosis
/ Methylation of MGMT promoter
/ Methylguanine
/ Middle Aged
/ Morphology
/ multidisciplinary
/ Mutation
/ Nervous system
/ Neurosurgery
/ Patients
/ Prognosis
/ Promoter Regions, Genetic - genetics
/ Radiation therapy
/ Science
/ Science (multidisciplinary)
/ Tumors
/ University graduates
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Prognosis prediction via histological evaluation of cellular heterogeneity in glioblastoma
Journal Article
Prognosis prediction via histological evaluation of cellular heterogeneity in glioblastoma
2024
Request Book From Autostore
and Choose the Collection Method
Overview
Glioblastomas (GBMs) are the most aggressive types of central nervous system tumors. Although certain genomic alterations have been identified as prognostic biomarkers of GBMs, the histomorphological features that predict their prognosis remain elusive. In this study, following an integrative diagnosis of 227 GBMs based on the 2021 World Health Organization classification system, the cases were histologically fractionated by cellular variations and abundance to evaluate the relationship between cellular heterogeneity and prognosis in combination with
O
-6-methylguanine-DNA methyltransferase gene promoter methylation (m
MGMTp
) status. GBMs comprised four major cell types: astrocytic, pleomorphic, gemistocytic, and rhabdoid cells.
t
-distributed stochastic neighbor embedding analysis using the histological abundance of heterogeneous cell types identified two distinct groups with significantly different prognoses. In individual cell component analysis, the abundance of gemistocytes showed a significantly favorable prognosis but confounding to m
MGMTp
status
.
Conversely, the abundance of epithelioid cells was correlated with the unfavorable prognosis. Linear model analysis showed the favorable prognostic utility of quantifying gemistocytic and epithelioid cells, independent of m
MGMTp
. The evaluation of GBM cell histomorphological heterogeneity is more effective for prognosis prediction in combination with m
MGMTp
analysis, indicating that histomorphological analysis is a practical and useful prognostication tool in an integrative diagnosis of GBMs.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
MBRLCatalogueRelatedBooks
Related Items
Related Items
This website uses cookies to ensure you get the best experience on our website.