scholarly journals CKAP2 expression is associated with glioma tumor growth and acts as a prognostic factor in high‑grade�glioma

2018 ◽  
Author(s):  
Kuanyu Wang ◽  
Ruoyu Huang ◽  
Guanzhang Li ◽  
Fan Zeng ◽  
Zheng Zhao ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Tumor Growth ◽  
High Grade Glioma ◽  
High Grade ◽  
Glioma Tumor

Urotensin II receptor endogenous ligands as new candidates involved in high grade glioma tumor growth and neo-angiogenesis

2012 ◽  
Vol 177 ◽  
pp. S26
Author(s):  
V. Le Joncour ◽  
C. Lecointre ◽  
M. Jarry ◽  
J.E. Joubert ◽  
M.T. Schouft ◽  
...  
Keyword(s):  
Tumor Growth ◽  
High Grade Glioma ◽  
High Grade ◽  
Urotensin Ii ◽  
Endogenous Ligands ◽  
Glioma Tumor

scholarly journals Intermittent radiotherapy as alternative treatment for recurrent high grade glioma: a modeling study based on longitudinal tumor measurements

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarah C. Brüningk ◽  
Jeffrey Peacock ◽  
Christopher J. Whelan ◽  
Renee Brady-Nicholls ◽  
Hsiang-Hsuan M. Yu ◽  
...  
Keyword(s):  
Tumor Growth ◽  
Treatment Option ◽  
Radiation Treatment ◽  
Phase 1 ◽  
High Grade Glioma ◽  
Patient Specific ◽  
Tumor Control ◽  
Model Parameters ◽  
High Dose ◽  
High Grade

AbstractRecurrent high grade glioma patients face a poor prognosis for which no curative treatment option currently exists. In contrast to prescribing high dose hypofractionated stereotactic radiotherapy (HFSRT, $$\ge 6$$ ≥ 6 Gy $$\times$$ × 5 in daily fractions) with debulking intent, we suggest a personalized treatment strategy to improve tumor control by delivering high dose intermittent radiation treatment (iRT, $$\ge 6$$ ≥ 6 Gy $$\times$$ × 1 every 6 weeks). We performed a simulation analysis to compare HFSRT, iRT and iRT plus boost ($$\ge 6$$ ≥ 6 Gy $$\times$$ × 3 in daily fractions at time of progression) based on a mathematical model of tumor growth, radiation response and patient-specific evolution of resistance to additional treatments (pembrolizumab and bevacizumab). Model parameters were fitted from tumor growth curves of 16 patients enrolled in the phase 1 NCT02313272 trial that combined HFSRT with bevacizumab and pembrolizumab. Then, iRT +/− boost treatments were simulated and compared to HFSRT based on time to tumor regrowth. The modeling results demonstrated that iRT + boost(− boost) treatment was equal or superior to HFSRT in 15(11) out of 16 cases and that patients that remained responsive to pembrolizumab and bevacizumab would benefit most from iRT. Time to progression could be prolonged through the application of additional, intermittently delivered fractions. iRT hence provides a promising treatment option for recurrent high grade glioma patients for prospective clinical evaluation.

scholarly journals Self-Renewal Does Not Predict Tumor Growth Potential in Mouse Models of High-Grade Glioma

Cancer Cell ◽  
2012 ◽  
Vol 21 (1) ◽  
pp. 11-24 ◽  
Author(s):  
Lindy E. Barrett ◽  
Zvi Granot ◽  
Courtney Coker ◽  
Antonio Iavarone ◽  
Dolores Hambardzumyan ◽  
...  
Keyword(s):  
Tumor Growth ◽  
Mouse Models ◽  
High Grade Glioma ◽  
Growth Potential ◽  
High Grade ◽  
Self Renewal

scholarly journals Invasion is not an independent prognostic factor in high-grade glioma

2011 ◽  
Vol 7 (3) ◽  
pp. 331 ◽  
Author(s):  
Ashwatha Narayana ◽  
Saroj Kunnakkat ◽  
John Golfinos ◽  
Praveen Medabalmi ◽  
RN Pat Eagan ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
High Grade Glioma ◽  
Independent Prognostic Factor ◽  
High Grade

scholarly journals The Prognostic Value of the Prognostic Nutritional Index in Operable High-Grade Glioma Patients and the Establishment of a Nomogram

2022 ◽  
Vol 11 ◽  
Author(s):  
Qian He ◽  
Wei Zhao ◽  
Qinglan Ren
Keyword(s):  
Regression Analysis ◽  
Prognostic Factor ◽  
Prognostic Value ◽  
Cox Regression ◽  
High Grade Glioma ◽  
Independent Prognostic Factor ◽  
High Grade ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Grade Iii

BackgroundStudies confirmed the predictive value of the prognostic nutrition index (PNI) in many malignant tumors. However, it did not reach a consensus in glioma. Therefore, this study investigated the prognostic value of preoperative PNI in operable high-grade glioma and established a nomogram.MethodsClinical data of high-grade glioma patients were retrospectively analyzed. The primary endpoint was overall survival (OS). Survival analysis was conducted by the Kaplan–Meier method, log-rank test, and Cox regression analysis. A nomogram was established. The prediction effect of the nomogram covering PNI was verified by area under the curve (AUC).ResultsA total of 91 operable high-grade glioma patients were included. Kaplan–Meier analysis showed that among grade IV gliomas (n = 55), patients with higher PNI (>44) showed a trend of OS benefit (p = 0.138). In grade III glioma (n = 36), patients with higher PNI (>47) had longer OS (p = 0.023). However, the intersecting Kaplan–Meier curve suggested that there may be some confounding factors. Cox regression analysis showed that higher PNI was an independent prognostic factor for grade IV glioma (HR = 0.388, p = 0.040). In grade III glioma, there was no statistically relationship between PNI levels and prognosis. When evaluating the prognostic ability of PNI alone by ROC, the AUC in grade III and IV gliomas was low, indicating that PNI alone had poor predictive power for OS. Interestingly, we found that the nomogram including preoperative PNI, age, extent of resection, number of gliomas, and MGMT methylation status could predict the prognosis of patients with grade IV glioma well.ConclusionThe PNI level before surgery was an independent prognostic factor for patients with grade IV glioma. The nomogram covering PNI in patients with grade IV glioma also proved the value of PNI. However, the value of PNI in grade III glioma needs to be further evaluated. More prospective studies are needed to verify this conclusion.

scholarly journals Percentage of mesenchymal stem cells in high-grade glioma tumor samples correlates with patient survival

2016 ◽  
pp. now239 ◽  
Author(s):  
Tal Shahar ◽  
Uri Rozovski ◽  
Kenneth R. Hess ◽  
Anwar Hossain ◽  
Joy Gumin ◽  
...  
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Patient Survival ◽  
High Grade Glioma ◽  
High Grade ◽  
Glioma Tumor
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