2023
DOI: 10.1186/s10020-023-00652-3
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CRISPR-cas9 screening identified lethal genes enriched in Hippo kinase pathway and of predictive significance in primary low-grade glioma

Maimaitili Mijiti,
Aierpati Maimaiti,
Xiaoqing Chen
et al.

Abstract: Background Low-grade gliomas (LGG) are a type of brain tumor that can be lethal, and it is essential to identify genes that are correlated with patient prognosis. In this study, we aimed to use CRISPR-cas9 screening data to identify key signaling pathways and develop a genetic signature associated with high-risk, low-grade glioma patients. Methods The study used CRISPR-cas9 screening data to identify essential genes correlated with cell survival in… Show more

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Cited by 3 publications
(2 citation statements)
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“…The incidence rate of LGG accounts for 20–30 % in adult with the median survival time of 5.6–13.3 years, which depends on the growth rate of the tumor, histopathological characteristics and the molecular phenotype [ [3] , [4] , [5] , [6] ]. Although significant progress has been made in recent years in the glioma, the long-term survival rate is still poor [ [7] , [8] , [9] ]. Therefore, it is urgent to probe out more meaningful prognostic monitoring indicators and determine novel effective treatment strategies for glioma.…”
Section: Introductionmentioning
confidence: 99%
“…The incidence rate of LGG accounts for 20–30 % in adult with the median survival time of 5.6–13.3 years, which depends on the growth rate of the tumor, histopathological characteristics and the molecular phenotype [ [3] , [4] , [5] , [6] ]. Although significant progress has been made in recent years in the glioma, the long-term survival rate is still poor [ [7] , [8] , [9] ]. Therefore, it is urgent to probe out more meaningful prognostic monitoring indicators and determine novel effective treatment strategies for glioma.…”
Section: Introductionmentioning
confidence: 99%
“…However, the published analyses of DepMap CRISPR screen data have mostly been conducted on a pan‐cancer basis and offer limited guidance for pursuing therapeutic vulnerabilities and predictive biomarkers specific to individual cancer types. Furthermore, analyses of individual cancer types in DepMap to date have narrowly focused on features distinguishing a malignancy of interest from the pan cancer dataset [ 7 , 8 , 9 ], predetermined biological processes [ 10 , 11 , 12 , 13 ], or developing prognostic models [ 14 , 15 , 16 , 17 ].…”
Section: Introductionmentioning
confidence: 99%