Is age an additional factor in the treatment of elderly patients with glioblastoma? A new stratification model: an Italian Multicenter Study

Development and validation of nomogram model predicting overall survival and cancer specific survival in glioblastoma patients

BACKGROUND

Identifying the incidence and risk factors of Glioblastoma (GBM) and establishing effective predictive models will benefit the management of these patients.

METHODS

Using GBM data from the Surveillance, Epidemiology, and End Results (SEER) database, we used Joinpoint software to assess trends in GBM incidence across populations of different age groups. Subsequently, we identified important prognostic factors by stepwise regression and multivariate Cox regression analysis, and established a Nomogram mathematical model. COX regression model combined with restricted cubic splines (RCS) model was used to analyze the relationship between tumor size and prognosis of GBM patients.

RESULTS

The incidence of GBM has been on the rise since 1978, especially in the age group of 65-84 years. 11498 patients with GBM were included in our study. The multivariate Cox analysis revealed that age, tumor size, sex, primary tumor site, laterality, number of primary tumors, surgery, chemotherapy, radiotherapy, systematic therapy, marital status, median household income, first malignant primary indicator were independent prognostic factors of overall survival (OS) for GBMs. For cancer-specific survival (CSS), race is also independent prognostic factors. Additionally, risk of poor prognosis increased significantly with tumor size in patients with tumors smaller than 49 mm. Moreover, our nomogram model showed favorable discriminative ability.

CONCLUSION

At the population level, the incidence of GBM is on the rise. The relationship between tumor size and patient prognosis is still worthy of further study. Moreover, the proposed nomogram with good performance was constructed and verified to predict the OS and CSS of patients with GBM.

Development and validation of a MRI-radiomics-based machine learning approach in High Grade Glioma to detect early recurrence

Purpose

Patients diagnosed with High Grade Gliomas (HGG) generally tend to have a relatively negative prognosis with a high risk of early tumor recurrence (TR) after post-operative radio-chemotherapy. The assessment of the pre-operative risk of early versus delayed TR can be crucial to develop a personalized surgical approach. The purpose of this article is to predict TR using MRI radiomic analysis.

Methods

Data were retrospectively collected from a database. A total of 248 patients were included based on the availability of 6-month TR results: 188 were used to train the model, the others to externally validate it. After manual segmentation of the tumor, Radiomic features were extracted and different machine learning models were implemented considering a combination of T1 and T2 weighted MR sequences. Receiver Operating Characteristic (ROC) curve was calculated with relative model performance metrics (accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV)) at the best threshold based on the Youden Index.

Results

Models performance were evaluated based on test set results. The best model resulted to be the XGBoost, with an area under ROC curve of 0.72 (95% CI: 0.56 - 0.87). At the best threshold, the model exhibits 0.75 (95% CI: 0.63 - 0.75) as accuracy, 0.62 (95% CI: 0.38 - 0.83) as sensitivity 0.80 (95% CI: 0.66 - 0.89 as specificity, 0.53 (95% CI: 0.31 - 0.73) as PPV, 0.88 (95% CI: 0.72 - 0.94) as NPV.

Conclusion

MRI radiomic analysis represents a powerful tool to predict late HGG recurrence, which can be useful to plan personalized surgical treatments and to offer pertinent patient pre-operative counseling.

Application of the NSE score (Neurology-Stability-Epidural compression assessment) to establish the need for surgery in spinal metastases of elderly patients: a multicenter investigation

PURPOSE

This retropective multicentric study aims to investigate the clinical applicability of the NSE score in the elderly, to verify the role of this tool as an easy help for decision making also for this class of patients.

METHODS

All elderly patients (> 65 years) suffering from spinal metastases undergoing surgical or non-surgical treatment at the authors' Institutions between 2015 and 2022 were recruited. An agreement group (AG) and non-agreement group (NAG) were identified accordingly to the agreement between the NSE score indication and the performed treatment. Neurological status and axial pain were evaluated for both groups at follow-up (3 and 6 months). The same analysis was conducted specifically grouping patients older than 75 years.

RESULTS

A strong association with improvement or preservation of clinical status (p < 0.001) at follow-up was obtained in AG. The association was not statistically significant in NAG at the 3-month follow-up (p 1.00 and 0.07 respectively) and at 6 months (p 0.293 and 0.09 respectively). The group of patients over 75 years old showed similar results in terms of statistical association between the agreement group and better outcomes.

CONCLUSION

Far from the need or the aim to build dogmatic algorithms, the goal of preserving a proper performance status plays a key role in a modern oncological management: functional outcomes of the multicentric study group showed that the NSE score represents a reliable tool to establish the need for surgery also for elderly patients.

A novel scoring system proposal to guide surgical treatment indications for high grade gliomas in elderly patients: DAK-75

High-grade gliomas are the most prevalent neurooncological desease in adults, their incidence increases with age, peaking in the seventh decade. This paper aims to address how to select patients for surgical resection by identifying pre-surgical predictors of 12-month mortality in newly diagnosed HGG patients aged ≥ 75 years. A prognostic score will be proposed to guide surgical decisions based on expected survival. Retrospective observational single-center cohort study was carried out at the "Città della Salute e della Scienza-Molinette" University Hospital in Turin, Italy. All consecutive patients aged ≥ 75 years newly diagnosed with HGG were included, regardless of whether they underwent surgical resection. Clinical, radiological, histological and molecular data were collected.Variables potentially available at the time of diagnosis were considered to develop a multivariable logistic regression predictive model, with 12-months overall survival as the dependent variable. 102 patients aged 75 years or older received a new diagnosis of high-grade glioma, of whom 68 underwent surgical resection. Patients undergoing surgery were slightly younger (76.9 vs 79.0 years, p = 0.007) and had better performance status (median KPS 80 vs 70). Most tumors undergoing surgery were localized in cortical or subcortical non-motor areas (p < 0.001) and less frequently deep-seated (p = 0.023) or multifocal (p < 0.001). A predictive model, the DAK-75 score, was developed: the AUROC of the final model was 0.822 (95% CI 0.741-0.902). The score includes clinical presentation, tumor location, and KPS, ranging from 0 to 20, categorizing risk scores into low-risk and high-risk groups (< or > 8). Higher scores corresponded to fewer surgical patients and higher one-year mortality rates (92.2% vs 47.1%, p < 0.001). DAK-75 score may represent a valuable tool in the decision-making process for neurosurgical intervention in elderly patients diagnosed with HGG. Further studies are needed to externally and prospectively validate the scoring system.

Glioblastoma and Internal Carotid Artery Calcium Score: A Possible Novel Prognostic Partnership?

Purpose: Clinical evidence suggests an association between comorbidities and outcome in patients with glioblastoma (GBM). We hypothesised that the internal carotid artery (ICA) calcium score could represent a promising prognostic biomarker in a competing risk analysis in patients diagnosed with GBM. Methods: We validated the use of the ICA calcium score as a surrogate marker of the coronary calcium score in 32 patients with lung cancer. Subsequently, we assessed the impact of the ICA calcium score on overall survival in GBM patients treated with radio-chemotherapy. Results: We analysed 50 GBM patients. At the univariate analysis, methyl-guanine-methyltransferase gene (MGMT) promoter methylation (p = 0.048), gross total tumour resection (p = 0.017), and calcium score (p = 0.011) were significant prognostic predictors in patients with GBM. These three variables also maintained statistical significance in the multivariate analysis. Conclusions: the ICA calcium score could be a promising prognostic biomarker in GBM patients.

Prognostic evaluation of patients with glioblastoma using a new score prediction model

Despite the wide reportage of prognostic factors for glioblastoma (GBM), it is difficult to determine how these factors interact to affect patients' survival. To determine the combination of prognostic factors, we retrospectively analyzed the clinic data of 248 IDH wild-type GBM patients and built a novel prediction model. The survival variables of patients were identified via univariate and multivariate analyses. In addition, the score prediction models were constructed by combining classification and regression tree (CART) analysis with Cox regression analysis. Finally, the prediction model was internally validated using the bootstrap method. Patients were followed for a median of 34.4 (interquartile range, 26.1-46.0) months. Multivariate analysis identified gross total resection (GTR) (HR 0.50, 95% CI: 0.38-0.67), unopened ventricles (HR 0.75 [0.57-0.99]), and MGMT methylation (HR 0.56 [0.41-0.76]) as favorable independent prognostic factors for PFS. GTR (HR 0.67 [0.49-0.92]), unopened ventricles (HR 0.60 [0.44-0.82]), and MGMT methylation (HR 0.54 [0.38-0.76]) were favorable independent prognostic factors for OS. In the process of building the model, we incorporated GTR, ventricular opening, MGMT methylation status, and age. The model had six and five terminal nodules in PFS and OS respectively. We grouped terminal nodes with similar hazard ratios together to form three sub-groups with different PFS and OS (P < 0.001). After the internal verification of bootstrap method, the model had a good fitting and calibration. GTR, unopened ventricles, and MGMT methylation were independently associated with more satisfactory survival. The novel score prediction model which we construct can provide a prognostic reference for GBM.

The impact of survivorship bias in glioblastoma research

Despite advances in the therapy of Central Nervous System (CNS) malignancies, treatment of glioblastoma (GB) poses significant challenges due to GB resistance and high recurrence rates following post-operative radio-chemotherapy. The majority of prognostic and predictive GB biomarkers are currently developed using tumour samples obtained through surgical interventions. However, the selection criteria adopted by different neurosurgeons to determine which cases are suitable for surgery make operated patients not representative of all GB cases. Particularly, geriatric and frail individuals are excluded from surgical consideration in some cancer centers. Such selection generates a survival (or selection) bias that introduces limitations, rendering the patients or data chosen for downstream analyses not representative of the entire community. In this review, we discuss the implication of survivorship bias on current and novel biomarkers for patient selection, stratification, therapy, and outcome analyses.

Tumor Microenvironment and Glioblastoma Cell Interplay as Promoters of Therapeutic Resistance

The invasive nature of glioblastoma is problematic in a radical surgery approach and can be responsible for tumor recurrence. In order to create new therapeutic strategies, it is imperative to have a better understanding of the mechanisms behind tumor growth and invasion. The continuous cross-talk between glioma stem cells (GSCs) and the tumor microenvironment (TME) contributes to disease progression, which renders research in this field difficult and challenging. The main aim of the review was to assess the different possible mechanisms that could explain resistance to treatment promoted by TME and GSCs in glioblastoma, including the role of M2 macrophages, micro RNAs (miRNAs), and long non-coding RNAs (lncRNAs) from exosomes from the TME. A systematic review of the literature on the role of the TME in developing and promoting radioresistance and chemoresistance of GBM was performed according to PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) guidelines. A dedicated literature review search was also performed on the immunotherapeutic agents against the immune TME. We identified 367 papers using the reported keywords. The final qualitative analysis was conducted on 25 studies. A growing amount of evidence in the current literature supports the role of M2 macrophages and non-coding RNAs in promoting the mechanisms of chemo and radioresistance. A better insight into how GBM cells interact with TME is an essential step towards comprehending the mechanisms that give rise to resistance to standard treatment, which can help to pave the way for the development of novel therapeutic strategies for GBM patients.

Surgical management of Glioma Grade 4: technical update from the neuro-oncology section of the Italian Society of Neurosurgery (SINch®): a systematic review

PURPOSE

The extent of resection (EOR) is an independent prognostic factor for overall survival (OS) in adult patients with Glioma Grade 4 (GG4). The aim of the neuro-oncology section of the Italian Society of Neurosurgery (SINch®) was to provide a general overview of the current trends and technical tools to reach this goal.

METHODS

A systematic review was performed. The results were divided and ordered, by an expert team of surgeons, to assess the Class of Evidence (CE) and Strength of Recommendation (SR) of perioperative drugs management, imaging, surgery, intraoperative imaging, estimation of EOR, surgery at tumor progression and surgery in elderly patients.

RESULTS

A total of 352 studies were identified, including 299 retrospective studies and 53 reviews/meta-analysis. The use of Dexamethasone and the avoidance of prophylaxis with anti-seizure medications reached a CE I and SR A. A preoperative imaging standard protocol was defined with CE II and SR B and usefulness of an early postoperative MRI, with CE II and SR B. The EOR was defined the strongest independent risk factor for both OS and tumor recurrence with CE II and SR B. For intraoperative imaging only the use of 5-ALA reached a CE II and SR B. The estimation of EOR was established to be fundamental in planning postoperative adjuvant treatments with CE II and SR B and the stereotactic image-guided brain biopsy to be the procedure of choice when an extensive surgical resection is not feasible (CE II and SR B).

CONCLUSIONS

A growing number of evidences evidence support the role of maximal safe resection as primary OS predictor in GG4 patients. The ongoing development of intraoperative techniques for a precise real-time identification of peritumoral functional pathways enables surgeons to maximize EOR minimizing the post-operative morbidity.

Optimal managements of elderly patients with glioblastoma

Optimizing the management of elderly patients with glioblastoma is an ongoing task in neuro-oncology. The number of patients with this tumor type is gradually increasing with the aging of the population. Although available data and practice recommendations remain limited, the current strategy is maximal safe surgical resection followed by radiotherapy in combination with temozolomide. However, survival is significantly worse than that in the younger population. Surgical resection provides survival benefit in patients with good performance status. Hypofractionated radiotherapy decreases toxicities while maintaining therapeutic efficacy, thus improving treatment adherence and subsequently leading to better quality of life. The intensity of these treatments should be balanced with patient-specific factors and consideration of quality of life. This review discusses the current optimal management in terms of efficacy and safety, as well as future perspectives.

Trends and outcomes of early and late palliative care consultation for adult patients with glioblastoma: A SEER-Medicare retrospective study

Background

Glioblastoma (GBM) carries a poor prognosis despite standard of care. Early palliative care (PC) has been shown to enhance survival and quality of life while reducing healthcare costs for other cancers. This study investigates differences in PC timing on outcomes for patients with GBM.

Methods

This study used Surveillance, Epidemiology, and End Results (SEER)-Medicare data from 1997 to 2016. Based on ICD codes, three groups were defined: (1) early PC within 10 weeks of diagnosis, (2) late PC, and (3) no PC. Outcomes were compared between the three groups.

Results

Out of 10 812 patients with GBM, 1648 (15.24%) patients had PC consultation with an overall positive trend over time. There were no significant differences in patient characteristics. The late PC group had significantly higher number of hospice claims (1.06 ± 0.69) compared to those without PC, in the last month of life. There were significant differences in survival among the three groups (P < .0001), with late PC patients with the longest mean time to death from diagnosis (11.72 ± 13.20 months).

Conclusion

We present the first investigation of PC consultation prevalence and outcomes, stratified by early versus late timing, for adult GBM patients. Despite an overall increase in PC consultations, only a minority of GBM patients receive PC. Patients with late PC had the longest survival times and had greater hospice use in the last month of life compared to other subgroups. Prospective studies can provide additional valuable information about this unique population of patients with GBM.

Outcome of glioblastoma resection in patients 80 years of age and older

OBJECTIVE

To evaluate the role and possible complications of tumor resection in the management of glioblastoma (GBM) in a series of patients 80 years of age and older with review of literature.

METHODS

The authors retrospectively analyzed cases involving patients 80 years or older who underwent biopsy or initial resection of GBM at their hospital between 2007 and 2018. A total of 117 patients (mean age 82 years) met the inclusion criteria; 57 had resection (group A) and 60 had biopsy (group B). Functional outcomes and survival at follow-up were analyzed.

RESULTS

Group A differed significantly from group B at baseline in having better WHO performance status, better ASA scores, more right-sided tumors, and no basal ganglia or "butterfly" gliomas. Nevertheless, 56% of group A patients had an ASA score of 3. Median survival was 9.5 months (95% CI 8-17 months) in group A, 4 months (95% CI 3.5-6 months) in group B, and 17.5 months (95% CI 12-24 months) in the 56% of group A patients treated with resection and Stupp protocol. Rates of postoperative neurologic and medical complications were almost identical in the 2 groups, but the rate of surgical site complications was substantially greater in group A (12% vs 5%). There was no significant difference in mean preoperative and postoperative KPS scores (group A).

CONCLUSIONS

In selected patients 80 years or older, radical removal of GBM was associated with acceptable survival and a low perioperative complication rate which is comparable to that of a biopsy. Although the median survival of the whole group was lower than reported for younger patients, a subgroup amenable to radical surgery and Stupp protocol achieved a median survival of 17.5 months.

Predictors of survival in elderly patients undergoing surgery for glioblastoma

Background

Glioblastoma (GBM) has a median age of diagnosis of 64 years old and the incidence increases with age. An increasing number of elderly patients are being diagnosed with GBM and undergoing surgery. These patients often present with multiple medical comorbidities and have significantly worse outcomes compared to adult patients. The goal of this study was to determine clinical predictors of survival in elderly patients undergoing surgery for GBM.

Methods

Our brain tumor database was reviewed for all patients 65 years of age and older that underwent surgery for newly diagnosed GBM over a 14-year period from 2005 to 2018. Patient characteristics, comorbidities, complications, and treatment were collected. A total of 150 patients were included, and subdivided into two age categories; 65–74 years old and 75 years or older.

Results

The median OS for all patients was 9.4 months. Neither the presence nor number of medical comorbidities were associated with decreased survival (P = .9 and P = .1, respectively). Postoperative complications were associated with worse survival for all patients (HR = 2.34, P = .01) and occurred in patients in the older age category and patients with longer lengths of stay (P < .0001).

Conclusions

The presence of medical comorbidities is not a reason to exclude patients with GBM from surgical consideration. Excluding EOR and adjuvant treatment, postoperative complication is the most significant predictor of survival in elderly patients. Postoperative complications are associated with a longer LOS and are more common in patients 75 years of age and older.

Brain Tumor Resection in Elderly Patients: Potential Factors of Postoperative Worsening in a Predictive Outcome Model

Simple Summary

Brain tumor surgery in older patients is becoming more relevant, considering that the proportion of older adults being treated for cancer is rising, whereas some pivotal studies in neuro-oncology comprised young patients only. The knowledge of possible predictors of outcome should be included in the preoperative assessment to make the best possible decision in terms of management. We present a case series of 143 patients older than 65 years, intending to identify the possible factors predicting the risk of clinical worsening after elective surgical resection of intracranial tumors in elderly patients. We found that postoperative complications occurrence and preoperative surgical complexity significantly influence the outcome in this subgroup of patients, whereas postoperative complications were the only factor with an impact also at long-term follow-up.

Abstract

The decision of whether to operate on elderly patients with brain tumors is complex, and influenced by pathology-related and patient-specific factors. This retrospective cohort study, based on a prospectively collected surgical database, aims at identifying possible factors predicting clinical worsening after elective neuro-oncological surgery in elderly patients. Therefore, all patients ≥65 years old who underwent BT resection at a tertiary referral center between 01/2018 and 12/2019 were included. Age, smoking, previous radiotherapy, hypertension, preoperative functional status, complications occurrence, surgical complexity and the presence of comorbidities were prospectively collected and analyzed at discharge and the 3-month follow-up. The series included 143 patients (mean 71 years, range 65–86). Sixty-five patients (46%) had at least one neurosurgical complication, whereas 48/65 (74%) complications did not require invasive treatment. Forty-two patients (29.4%) worsened at discharge; these patients had a greater number of complications compared to patients with unchanged/improved performance status. A persistent worsening at three months of follow-up was noted in 20.3% of patients; again, this subgroup presented more complications than patients who remained equal or improved. Therefore, postoperative complications and surgical complexity seem to influence significantly the early outcome in elderly patients undergoing brain tumor surgery. In contrast, postoperative complications alone are the only factor with an impact on the 3-month follow-up.

Surgical Management of Intracranial Meningiomas in the Elderly: Early and Long-term Outcomes

Purpose

In view of the risk associated with the surgical treatment of intracranial meningiomas in the elderly population due to the physiology of aging and multiple comorbidities, an attempt was made to identify factors influencing outcomes and to define the subgroup of patients who should not be operated on due to poor results.

Patients and Methods

A retrospective analysis of 58 patients over 70 years old with assessment of short-term and long-term outcomes. Scores by previously described CRGS, SKALE, and GSS grading systems were also calculated for our patients.

Results

Neurological morbidity was only associated with a critical location according to the SKALE grading system (P=0.02). Six patients (10.3%) died. Mortality was associated with the Karnofsky Performance Scale score (KPS ≤60 vs KPS ≥70; P=0.0162), the American Society of Anesthesiologists scale status (ASA 1 or 2 vs ASA 3; P=0.0022) and the WHO grade of meningiomas (P=0.012). Risk factors for tumor recurrence (six patients) were WHO grade (P=0.00048) and Simpson grade of resection (P=0.0437). At follow-up, excluding patients who died due to surgery or recurrence (15.5%), most patients improved (50%) or remained unchanged (25.9%) in relation to the preoperative KPS status.

Conclusion

Postoperative neurological deterioration was only associated with a critical tumor location (skull base, eloquent area, large vessels involvement by the tumor). Due to a significantly higher risk of death, careful consideration should be taken for surgery in patients in a poor functional condition (KPS ≤60) or in a poor physical condition (ASA 3 status). An improvement or at least nonworsening of the neurological status in relation to the preoperative condition was observed in the majority of patients during follow-up.