Tumor location and patient age predict biological signatures of high-grade gliomas

2017 ◽  
Vol 41 (2) ◽  
pp. 599-604 ◽  
Author(s):  
Roberto Altieri ◽  
Francesco Zenga ◽  
Alessandro Ducati ◽  
Antonio Melcarne ◽  
Fabio Cofano ◽  
...  
Keyword(s):  
Tumor Location ◽  
High Grade ◽  
Patient Age ◽  
Patient Âgé ◽  
High Grade Gliomas

scholarly journals Impact of mass effect, tumor location, age, and surgery on the cognitive outcome of patients with high-grade gliomas: a longitudinal study

2017 ◽  
Vol 4 (4) ◽  
pp. 229-240 ◽  
Author(s):  
Monica Dallabona ◽  
Silvio Sarubbo ◽  
Stefano Merler ◽  
Francesco Corsini ◽  
Giuseppe Pulcrano ◽  
...  
Keyword(s):  
Tumor Volume ◽  
High Grade Glioma ◽  
Joint Effect ◽  
Cognitive Outcome ◽  
Tumor Localization ◽  
High Grade ◽  
Patient Age ◽  
Patient Âgé ◽  
High Grade Gliomas

Abstract Background High-grade gliomas are the most frequently occurring brain tumors and carry unfavorable prognosis. Literature is controversial regarding the effects of surgery on cognitive functions. Methods We analyzed a homogenous population of 30 patients with high-grade glioma who underwent complete resection. Patients underwent extensive neuropsychological analysis before surgery, 7 days after surgery, and approximately 40 days after surgery, before adjuvant treatments. Thirty-four neuropsychological tests were administered in the language, memory, attention, executive functions, and praxis domains. Results The preoperative percentage of patients with impairment in the considered tests ranged from 0% to 53.3% (mean 20.9%). Despite a general worsening at early follow-up, a significant recovery was observed at late follow-up. Preoperative performances in language and verbal memory tasks depended on the joint effect of tumor volume, volume of surrounding edema, and tumor localization, with major deficits in patients with left lateralized tumor, especially insular and temporal. Preoperative performances in attention and constructive abilities tasks depended on the joint effect of tumor volume, volume of surrounding edema, and patient age, with major deficits in patients ≥ 65 years old. Recovery at late follow-up depended on the volume of resected tumor, edema resorption, and patient age. Conclusions Longitudinal neuropsychological performance of patients affected by high-grade glioma depends, among other factors, on the complex interplay of tumor volume, volume of surrounding edema, tumor localization, and patient age. Reported results support the definition of criteria for surgical indication based on the above factors. They may be used to propose more customized surgical, oncological, and rehabilitative strategies.

Evaluation of factors predicting accurate resection of high-grade gliomas by using frameless image-guided stereotactic guidance

2003 ◽  
Vol 14 (2) ◽  
pp. 1-4 ◽  
Author(s):  
Ronald Benveniste ◽  
Isabelle M. Germano
Keyword(s):  
Mr Imaging ◽  
Extent Of Resection ◽  
Image Guided Surgery ◽  
High Grade ◽  
Brain Shift ◽  
Patient Age ◽  
Guided Surgery ◽  
Image Guided ◽  
Patient Âgé ◽  
High Grade Gliomas

Object Frameless image-guided stereotaxy is often used in the resection of high-grade gliomas. The authors of several studies, however, have suggested that brain shift may occur intraoperatively and result in inaccurate resection. To determine the usefulness of frameless stereotactic image-guided surgery of high-grade gliomas, the authors correlated factors predictive of brain shift, such as tumor size, periventricular location, and patient age (as an indicator of brain atrophy) with the extent of resection. Methods Inclusion criteria included the following: 1) stereotactic volumetric craniotomy for resection of tumor; 2) histologically proven high-grade glioma; 3) preoperative magnetic resonance (MR) imaging demonstration of an enhancing portion of tumor; 4) postoperative MR imaging within 48 hours to assess the extent of resection; and 5) preoperative intention to perform gross-total resection of the enhancing tumor. Fifty-four patients met these criteria between September 1997 and November 2002. Accurate resection was considered to be indicated by a lack of nodular enhancement on postoperative Gd-enhanced MR images obtained within 48 hours of surgery. Frameless stereotactic image-guided surgery resulted in the successful resection of 46 (85%) of 54 high-grade gliomas. Accurate resection was significantly more likely with tumors less than 30 ml in volume than with those greater than 30 ml (93 and 58%, respectively [p < 0.05]). In addition, small periventricular tumors were associated with significant less successful resection compared with nonperiventricular tumor (77 and 96%, respectively [p = 0.5]). Patient age did not affect the likelihood of successful resection. Conclusions Frameless image-guided stereotactic techniques can be reliably used for accurate resection of high-grade gliomas when the tumor is less than 30 ml in volume and not adjacent to the ventricular system. In cases involving tumors larger in volume or located near the ventricles, intraoperative ultrasonography or MR imaging updates should be considered.

Significance of Necrosis in Grading of Oligodendroglial Neoplasms: A Clinicopathologic and Genetic Study of Newly Diagnosed High-Grade Gliomas

2006 ◽  
Vol 24 (34) ◽  
pp. 5419-5426 ◽  
Author(s):  
C. Ryan Miller ◽  
Christopher P. Dunham ◽  
Bernd W. Scheithauer ◽  
Arie Perry
Keyword(s):  
Current Approach ◽  
Treatment Center ◽  
High Grade ◽  
Newly Diagnosed ◽  
Survival Times ◽  
Patient Age ◽  
Chromosome 1P ◽  
Patient Âgé ◽  
High Grade Gliomas ◽  
Oligodendroglial Neoplasms

Purpose High-grade gliomas (HGGs; WHO grades 3-4) are highly diverse, with survival times ranging from months to years. WHO 2000 grading criteria for high-grade oligodendroglial neoplasms [anaplastic oligoastrocytoma (AOA) and anaplastic oligodendroglioma (AO)] remain subjective, and the existence of grade 4 variants is controversial. Patients and Methods Overall survival (OS) of 1,093 adult patients with a cerebral HGG newly diagnosed between 1990 and 2005 was analyzed by univariate and multivariate models for significance of the following factors: patient age, surgery type, year of diagnosis, endothelial proliferation, necrosis, oligodendroglial histology, treatment center, and chromosome 1p, 19q, 7p (EGFR), and 10q (PTEN) abnormalities by fluorescence in situ hybridization (FISH). Results Necrosis was a statistically significant predictor of poor OS on univariate and multivariate analyses in AOA but not in AO. Median OS for patients with necrotic AOA (22.8 months) was significantly worse than for patients with non-necrotic AOA (86.9 months; P < .0001) but was better than conventional glioblastomas (9.8 months; P < .0001). In addition to patient age, the following were significant independent prognostic factors (P ≤ .001): grade and surgery type for the entire HGG cohort; modified grade for AOA (3 v 4); and modified grade, 1p/19q codeletion status, and oligodendroglial histology for the 586 HGGs analyzed by FISH. Conclusion Stratification of AOA, but not of pure AO, into grades 3 and 4 on the basis of necrosis is prognostically justified and is more powerful than the current approach. Both routine histology and genetic testing provide independent, prognostically useful information.

scholarly journals Chart review of diagnostic methods, baseline characteristics and symptoms for European patients with pancreatic cancer

2021 ◽  
Vol 17 (15) ◽  
pp. 1843-1854
Author(s):  
Alfredo Carrato ◽  
Davide Melisi ◽  
Gerald Prager ◽  
Christoph B Westphalen ◽  
Anabel Ferreras ◽  
...  
Keyword(s):  
Chart Review ◽  
Diagnostic Technique ◽  
Tumor Location ◽  
Diagnostic Methods ◽  
Ductal Adenocarcinoma ◽  
Inclusion Criteria ◽  
First Line ◽  
Patient Age ◽  
Patient Âgé ◽  
Baseline Characteristics

Aim: To survey European physicians managing patients with metastatic pancreatic ductal adenocarcinoma (PDAC) and understand differences in baseline characteristics, diagnostic methods, symptoms and co-morbidities. Materials & methods: Patient record inclusion criteria were: ≥18 years old, metastatic PDAC diagnosis and completion of first-line treatment between July 2014 and January 2016. Records were grouped by patient age, gender and primary tumor location. Results: Records (n = 2565) were collected from nine countries. Baseline characteristics varied between subgroups. Computed tomography was the most frequently used diagnostic technique. Symptoms at diagnosis included abdominal and/or mid-back pain (72% of patients) and weight loss (61.5%). Co-morbidities varied with patient age. Conclusion: Greater awareness of symptoms, diagnostic methods and co-morbidities present at PDAC diagnosis may support better patient management decisions.

scholarly journals The methylation of SDC2 and TFPI2 defined three methylator phenotypes of colorectal cancer

2021 ◽  
Author(s):  
Lei Ruixue ◽  
Zhao Yanteng ◽  
Huang Kai ◽  
Wan Kangkang ◽  
Li Tingting ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Cpg Island ◽  
Methylation Status ◽  
Tumor Location ◽  
Functional Enrichment ◽  
Superior Performance ◽  
Regulation Of Transcription ◽  
Patient Age ◽  
Patient Âgé

Methylation-based noninvasive molecular diagnostics are easy and feasible tools for the early detection of colorectal cancer (CRC). However, many of them have the limitation of low sensitivity with some CRCs detection failed in clinical practice. In this study, the clinical and pathological characteristics, as well as molecular features of three methylator-groups, defined by the promoter methylation status of SDC2 and TFPI2, were investigated in order to improve the performance of CRC detection. The Illumina Infinium 450k Human DNA methylation data and clinical information of CRCs were collected from The Cancer Genome Atlas (TCGA) project and Gene Expression Omnibus (GEO) database. CRC samples were divided into three groups, HH (dual-positive), HL (single positive) and LL (dual-negative) according to the methylation status of SDC2 and TFPI2 promoters. Differences in age, tumor location, microsatellite instable status and differentially expressed genes (DEGs) were evaluated among the three groups and these findings were then confirmed in our inner CRC dataset. The combination of methylated SDC2 and TFPI2 showed a superior performance of distinguishing CRCs from normal controls than each alone. Samples of HL group were more often originated from left-side CRCs whereas very few of them were from right-side (P < 0.05). HH grouped CRCs showed a higher level of microsatellite instability and mutation load than other two groups (mean nonsynonymous mutations for HH/HL/LL: 10.55/3.91/7.02, P = 0.0055). All mutations of BRAF, one of the five typical CpG island methylator phenotype (CIMP) related genes, were found in HH group (HH/HL/LL: 51/0/0, P = 0.018). Also there was a significantly older patient age at the diagnosis in HH group. Gene expression analysis identified 37, 84 and 22 group-specific DEGs for HH, HL and LL, respectively. Functional enrichment analysis suggested that HH specific DEGs were mainly related to the regulation of transcription and other processes, while LL specific DEGs were enriched in the biological processes of extracellular matrix interaction and cell migration. The three defined mathylator groups showed great difference in tumor location, patient age, MSI and ECM biological process, which could facilitate the development of more effective biomarkers for CRC detection.

Expression of leucine-rich repeats and immunoglobulin-like domains (LRIG) proteins in human ependymoma relates to tumor location, WHO Grade, and patient age

2009 ◽  
Vol 28 (01) ◽  
pp. 21-27 ◽  
Author(s):  
W. Yi ◽  
H. Haapasalo ◽  
C. Holmlund S. Järvelä ◽  
O. Raheem ◽  
A.T. Bergenheim ◽  
...  
Keyword(s):  
Tumor Location ◽  
Patient Age ◽  
Who Grade ◽  
Patient Âgé ◽  
Leucine Rich Repeats

scholarly journals Gene Expression Patterns in Ependymomas Correlate with Tumor Location, Grade, and Patient Age

2003 ◽  
Vol 163 (5) ◽  
pp. 1721-1727 ◽  
Author(s):  
Andrey Korshunov ◽  
Kai Neben ◽  
Gunnar Wrobel ◽  
Bjoern Tews ◽  
Axel Benner ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Patterns ◽  
Tumor Location ◽  
Gene Expression Patterns ◽  
Patient Age ◽  
Patient Âgé

scholarly journals Association of functional magnetic resonance imaging indices with postoperative language outcomes in patients with primary brain tumors

2013 ◽  
Vol 34 (4) ◽  
pp. E6 ◽  
Author(s):  
Bornali Kundu ◽  
Amy Penwarden ◽  
Joel M. Wood ◽  
Thomas A. Gallagher ◽  
Matthew J. Andreoli ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Brain Tumors ◽  
Clinical Setting ◽  
Tumor Location ◽  
Postoperative Outcomes ◽  
Language Mapping ◽  
Patient Age ◽  
Activation Area ◽  
Presurgical Planning ◽  
Patient Âgé

Object Functional MRI (fMRI) has the potential to be a useful presurgical planning tool to treat patients with primary brain tumor. In this study the authors retrospectively explored relationships between language-related postoperative outcomes in such patients and multiple factors, including measures estimated from task fMRI maps (proximity of lesion to functional activation area, or lesion-to-activation distance [LAD], and activation-based language lateralization, or lateralization index [LI]) used in the clinical setting for presurgical planning, as well as other factors such as patient age, patient sex, tumor grade, and tumor volume. Methods Patient information was drawn from a database of patients with brain tumors who had undergone preoperative fMRI-based language mapping of the Broca and Wernicke areas. Patients had performed a battery of tasks, including word-generation tasks and a text-versus-symbols reading task, as part of a clinical fMRI protocol. Individually thresholded task fMRI activation maps had been provided for use in the clinical setting. These clinical imaging maps were used to retrospectively estimate LAD and LI for the Broca and Wernicke areas. Results There was a relationship between postoperative language deficits and the proximity between tumor and Broca area activation (the LAD estimate), where shorter LADs were related to the presence of postoperative aphasia. Stratification by tumor location further showed that for posterior tumors within the temporal and parietal lobes, more bilaterally oriented Broca area activation (LI estimate close to 0) and a shorter Wernicke area LAD were associated with increased postoperative aphasia. Furthermore, decreasing LAD was related to decreasing LI for both Broca and Wernicke areas. Preoperative deficits were related to increasing patient age and a shorter Wernicke area LAD. Conclusions Overall, LAD and LI, as determined using fMRI in the context of these paradigms, may be useful indicators of postsurgical outcomes. Whereas tumor location may influence postoperative deficits, the results indicated that tumor proximity to an activation area might also interact with how the language network is affected as a whole by the lesion. Although the derivation of LI must be further validated in individual patients by using spatially specific statistical methods, the current results indicated that fMRI is a useful tool for predicting postoperative outcomes in patients with a single brain tumor.

scholarly journals Sex Differences in Predictors of Seizure in Contrast-Enhancing Gliomas at Clinical Presentation: A Network Approach

2019 ◽  
Author(s):  
Sandra K Johnston ◽  
Aditya Khurana ◽  
Paula Whitmire ◽  
Sara Ranjbar ◽  
Akanksha Sharma ◽  
...  
Keyword(s):  
Machine Learning ◽  
Tumor Size ◽  
Clinical Presentation ◽  
Tumor Location ◽  
Data Repository ◽  
Patient Age ◽  
Entire Cohort ◽  
Prescription Practices ◽  
Patient Âgé ◽  
Co Morbidity

ABSTRACTBackgroundBrain tumor related epilepsy (BTE) is a major co-morbidity related to the management of patients with brain cancer. Despite published practice guidelines recommending against anti-epileptic drug (AED) utilization in patients with gliomas, there is heterogeneity in prescription practices of AEDs in these patients. In an attempt to impact BTE management, we statistically analyzed clinically relevant attributes (sex, age, tumor size, tumor growth kinetics, and tumor location) pertaining to seizure at presentation and used them to build a computational machine learning model to predict the probability of a seizure (at presentation).MethodsFrom our clinical data repository, we identified 223 patients (females, n=86; males, n=137) with pathologically-determined glioma and known seizure status at clinical presentation. Non-parametric and Fisher’s Exact tests were used to identify statistical differences in clinical characteristics. We utilized a random forest machine learning method for generating our predictive models by entire cohort and separated by male and female.FindingsPatients were divided into those that presented with seizure (SP, n=96, 43%; F, n= 28; M, n= 68) and those that presented without seizure (nSP, n=127, 57%, F n=58, M n=69). Females presented with seizures significantly less often than males (x2=6·28, p=0·01). SP patients had significantly smaller T1Gd radius compared to nSP (SP 11·30mm, nSP 18.66mm, p<0·0001). Tumor size and patient age were significant negative predictors for SP; patients with larger tumors, older age and less tumor diffusivity (p/D) were at lower risk for SP.InterpretationDespite heterogeneity across our patient cohort, there is strong evidence of a role for patient sex, tumor size, tumor invasion, and patient age in predicting the incidence of seizures at diagnosis. Future studies, with prospectively detailed data collection, may provide clearer insights into the incidence of seizures through a patient’s treatment course.

Sign in / Sign up

Export Citation Format

Share Document