Predictors of early and late postoperative seizures in meningioma patients: a systematic review and meta-analysis.

Meningioma is the most common type of primary brain tumor which presents with a variety of neurological manifestations. Surgical resection tends to be the preferred treatment. The occurrence of seizures after resection is common, which occur either early, within seven days of operation, or late. Our meta-analysis investigated the possible predictors of early and late postoperative seizures. We assessed the relevant observational studies on predictors of postoperative seizures published in PubMed, Scopus, and Web of Science from January 2000 to September 2022, and those that met inclusion criteria were included. We calculated the association between potential predicting factors and postoperative seizures, odds ratios (ORs) with 95% confidence intervals (CIs) applying either random or fixed-effect models. The early and late postoperative seizures were evaluated individually. Thirteen observational studies involving 4176 patients were included. Seizures occurred in 250 (6%) and 584 (14%) patients, respectively, in the early and late postoperative phases. Shared predictors for early and late seizures included tumors involving the motor cortex (OR = 2.7; 95% CI: 1.67-4.38, OR = 2.46; 95% CI: 1.68-3.61), postoperative neurological deficit (OR = 4.68; 95% CI: 2.67-8.22, OR = 2.01; 95% CI: 1.39-2.92), and preoperative seizures (OR = 2.52; 95% CI: 1.82-3.49, OR = 4.35; 95% CI: 3.29-5.75). Peritumoral edema (OR = 1.99; 95% CI: 1.49-2.64) was a significant factor only among late postoperative seizure patients while surgical complications (OR = 3.77; 95% CI: 2.39-5.93) was a significant factor solely for early postoperative seizures. Meningioma patients commonly experience early and late postoperative seizures. Identifying predictors of postoperative seizures is essential to diagnose and manage them effectively.

The Efficacy and Safety of Immune Checkpoint Inhibitors in Adrenocortical Carcinoma: A Systematic Review and Meta-Analysis.

Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of different malignancies. However, their efficacy in advanced adrenocortical carcinoma (ACC) remains uncertain. Thus, we conducted a systematic review and meta-analysis to summarize the efficacy and tolerability of ICIs in patients with advanced ACC. We searched PubMed, Scopus, and CENTRAL for studies that used ICIs in ACC. Studies with more than five patients were included in the meta-analysis of the objective response rate (ORR), disease control rate (DCR), overall survival (OS), progression-free survival (PFS), and grade 3/4 adverse events. Twenty studies with 23 treatment arms and 250 patients were included. Single-agent anti-PD1 or anti-PD-L1 treatment was utilized in 13 treatment arms, whereas an anti-PD1 or anti-PD-L1 and anti-CTLA4 combination was used in 4 treatment arms. Other anti-PD1- or anti-PD-L1-based combinations were used in five treatment arms. The ORR was 14% (95% CI = 10-19%, I2 = 0%), and the DCR was 43% (95% CI = 37-50%, I2 = 13%). The combination anti-PD1- or anti-PD-L1-based treatment strategies did not correlate with higher responses compared with monotherapy. The median OS was 13.9 months (95% CI = 7.85-23.05), and the median PFS was 2.8 months (95% CI = 1.8-5.4). ICIs have a modest efficacy in advanced ACC but a good OS. Further studies are needed to investigate predictive biomarkers for ICI response and to compare ICI-based strategies with the current standard of care.

Identification of Hypoxia Prognostic Signature in Glioblastoma Multiforme Based on Bulk and Single-Cell RNA-Seq.

Glioblastoma (GBM) represents a profoundly aggressive and heterogeneous brain neoplasm linked to a bleak prognosis. Hypoxia, a common feature in GBM, has been linked to tumor progression and therapy resistance. In this study, we aimed to identify hypoxia-related differentially expressed genes (DEGs) and construct a prognostic signature for GBM patients using multi-omics analysis. Patient cohorts were collected from publicly available databases, including the Gene Expression Omnibus (GEO), the Chinese Glioma Genome Atlas (CGGA), and The Cancer Genome Atlas-Glioblastoma Multiforme (TCGA-GBM), to facilitate a comprehensive analysis. Hypoxia-related genes (HRGs) were obtained from the Molecular Signatures Database (MSigDB). Differential expression analysis revealed 41 hypoxia-related DEGs in GBM patients. A consensus clustering approach, utilizing these DEGs' expression patterns, identified four distinct clusters, with cluster 1 showing significantly better overall survival. Machine learning techniques, including univariate Cox regression and LASSO regression, delineated a prognostic signature comprising six genes (ANXA1, CALD1, CP, IGFBP2, IGFBP5, and LOX). Multivariate Cox regression analysis substantiated the prognostic significance of a set of three optimal signature genes (CP, IGFBP2, and LOX). Using the hypoxia-related prognostic signature, patients were classified into high- and low-risk categories. Survival analysis demonstrated that the high-risk group exhibited inferior overall survival rates in comparison to the low-risk group. The prognostic signature showed good predictive performance, as indicated by the area under the curve (AUC) values for one-, three-, and five-year overall survival. Furthermore, functional enrichment analysis of the DEGs identified biological processes and pathways associated with hypoxia, providing insights into the underlying mechanisms of GBM. Delving into the tumor immune microenvironment, our analysis revealed correlations relating the hypoxia-related prognostic signature to the infiltration of immune cells in GBM. Overall, our study highlights the potential of a hypoxia-related prognostic signature as a valuable resource for forecasting the survival outcome of GBM patients. The multi-omics approach integrating bulk sequencing, single-cell analysis, and immune microenvironment assessment enhances our understanding of the intricate biology characterizing GBM, thereby potentially informing the tailored design of therapeutic interventions.

Three years of maintenance with VRD in multiple myeloma: results of total therapy IIIB with a 15-year follow-up.

ABSTRACT: The total therapy (TT) IIIB phase 2 study incorporated bortezomib into tandem melphalan-based hematopoietic stem cell transplantation with dexamethasone, thalidomide, cisplatin, doxorubicin, cyclophosphamide, and etoposide for induction/consolidation and bortezomib, lenalidomide, and dexamethasone (VRD) for maintenance in patients with newly diagnosed multiple myeloma (MM). This updated analysis presents a 15.4-year median follow-up. Of 177 patients, 21% patients had gene expression profile (GEP)-defined high-risk MM. 15-year progression free survival (PFS) was 27.9%. Median PFS was better in GEP-defined low-risk patients at 7.8 years and in International Staging System stage 1 patients at 8.7 years. Overall, median OS was 9.1 years, and 15-year overall survival (OS) was 35.9%. GEP-defined low-risk patients' median OS was 11.2 years, and that of GEP-defined high-risk patients was 2.8 years. There was no difference in OS between TT IIIB and TT IIIA. This study includes the longest follow-up of patients treated with maintenance VRD reported to date. In patients with GEP-defined low-risk, nearly half and one-third of patients without ongoing treatment showed no signs of progression at 10 and 15 years, respectively. One-third of patients survived more than 15 years, but 3 years of VRD maintenance did not improve outcomes for patients with GEP-defined high-risk MM. The study was registered on www.clinicaltrials.gov as #NCT00572169.

Clinical and radiologic differences between early onset, late onset, and very late onset adult multiple sclerosis.

BACKGROUND: Previous studies suggested possible differences in clinical and radiologic characteristics between early-onset multiple sclerosis (EOMS) and late-onset MS (LOMS). However, differences between LOMS and very late onset MS (VLOMS) are largely unknown. METHODS: We performed a retrospective review of medical records of patients diagnosed with MS between 8/1/2017 and 3/1/2022 at the comprehensive MS center of the Froedtert and Medical College of Wisconsin. We included adult patients with MS diagnosis who were 60 years or older - VLOMS, 50-59 years old at diagnosis - LOMS, or were 18-30 years old at diagnosis - EOMS and had complete imaging and clinical records. Clinical presentation and location of demyelinating lesions at the onset of diagnosis were extracted and compared using the chi-square test, p<0.05. RESULTS: A total of 246 newly diagnosed patients were identified. Of which 54 were EOMS, 29 were LOMS, and 35 were VLOMS. The sex ratio was not different between groups. EOMS had a higher percentage of patients who self-identified as black, while LOMS had a higher percentage of patients who self-identified as white. LOMS and VLOMS showed significant differences in the presence of tremors and lesion distribution at the onset. Older onset patients were more likely to present with motor symptoms, sphincter dysfunction, fatigue, and tremor. EOMS was more likely to present with cerebellum and occipital lobe lesions, and lesions were more likely to show contrast enhancement on MRI at diagnosis. CONCLUSION: Our findings revealed novel clinical and imaging characteristics differences between VLOMS and LOMS. The current classification of LOMS may benefit from revision to better align with chronological age classification for old age >60 instead of the current standard in the literature of >50 years.

Cancer-Associated Fibroblasts in Gastrointestinal Cancers: Unveiling Their Dynamic Roles in the Tumor Microenvironment.

Gastrointestinal cancers are highly aggressive malignancies with significant mortality rates. Recent research emphasizes the critical role of the tumor microenvironment (TME) in these cancers, which includes cancer-associated fibroblasts (CAFs), a key component of the TME that have diverse origins, including fibroblasts, mesenchymal stem cells, and endothelial cells. Several markers, such as α-SMA and FAP, have been identified to label CAFs, and some specific markers may serve as potential therapeutic targets. In this review article, we summarize the literature on the multifaceted role of CAFs in tumor progression, including their effects on angiogenesis, immune suppression, invasion, and metastasis. In addition, we highlight the use of single-cell transcriptomics to understand CAF heterogeneity and their interactions within the TME. Moreover, we discuss the dynamic interplay between CAFs and the immune system, which contributes to immunosuppression in the TME, and the potential for CAF-targeted therapies and combination approaches with immunotherapy to improve cancer treatment outcomes.

Next generation immuno-oncology biomarkers in gastrointestinal cancer: what does the future hold?

INTRODUCTION: Gastrointestinal (GI) cancers pose a significant health burden worldwide, necessitating advancements in diagnostic and treatment approaches. One promising avenue is the utilization of next-generation biomarkers, which hold the potential to revolutionize GI cancer management. AREAS COVERED: This review explores the latest breakthroughs and expert opinions surrounding the application of next-generation immunotherapy biomarkers. It encompasses various aspects of the currently utilized biomarkers of immunotherapy in the context of GI cancers focusing on microsatellite stable cancers. It explores the promising research on the next generation of biomarkers addressing the challenges associated with integrating them into clinical practice and the need for standardized protocols and regulatory guidelines. EXPERT OPINION: Immune profiling, multiplex immunohistochemistry, analysis of immune cell subsets, and novel genomic and epigenomic markers integrated with machine-learning approaches offer new avenues for identifying robust biomarkers. Liquid biopsy-based approaches, such as circulating tumor DNA (ctDNA) and exosome-based analyses, hold promise for real-time monitoring and early detection of treatment response.

The impact of IDH and NAT2 gene polymorphisms in acute myeloid leukemia risk and overall survival in an Arab population: A case-control study.

Acute myeloid leukemia (AML) is a malignancy of the myeloid cells due to the clonal and malignant proliferation of blast cells. The etiology of AML is complex and involves environmental and genetic factors. Such genetic aberrations include FLT3, DNMT3, IDH1, IDH2, NAT2, and WT. In this study, we analyzed the relationship between five, not previously studied in any Arab population, single nucleotide polymorphisms (SNPs) and the risk and overall survival of AML in Jordanian patients. The SNPs are NAT2 (rs1799930 and rs1799931), IDH1 (rs121913500), and IDH2 (rs121913502 and rs1057519736). A total number of 30 AML patients and 225 healthy controls were included in this study. Females comprised 50% (n = 15) and 65.3% (n = 147) of patients and controls, respectively. For AML patients (case group) Genomic DNA was extracted from formalin-fixed paraffin-embedded tissues and from peripheral blood samples for the control subjects group. Genotyping of the genetic polymorphisms was conducted using a sequencing protocol. Our study indicates that NAT2 rs1799930 SNP had a statistically significant difference in genotype frequency between cases and controls (p = 0.023) while IDH mutations did not correlate with the risk and survival of AML in the Jordanian population. These results were also similar in the TCGA-LAML cohorts with the notable exception of the rare NAT2 mutation. A larger cohort study is needed to further investigate our results.

Variability of definition of high-risk multiple myeloma across phase III clinical trials.

The definition of high-risk multiple myeloma (HRMM) is evolving. Use of a clear definition of HRMM in clinical trials was not previously studied. We explored the definition of HRMM in completed phase III clinical trials. There is extreme variability in the definition and cutoffs used to define HRMM, with a significant number of studies lacking a clear definition. Our study provides a quantification of the variability in defining HRMM and suggests a need to better define HRMM in future clinical trials to enable more consistent treatment recommendations.

Atrial resection for T4 non-small cell lung cancer with left atrium involvement: a systematic review and meta-analysis of survival.

PURPOSE: Extended resection for non-small cell lung cancer (NSCLC) with T4 left atrium involvement is controversial. We performed a systematic review and meta-analysis to evaluate the short- and long-term outcomes of this treatment strategy. METHODS: We searched the PubMed database for studies on atrial resection in NSCLC patients. The primary investigated outcome was the effectiveness of the surgery represented by survival data and the secondary outcomes were postoperative morbidity, mortality, and recurrence. RESULTS: Our search identified 18 eligible studies including a total of 483 patients. Eleven studies reported median overall survival and 17 studies reported overall survival rates. The estimated pooled 1, 3, 5-year overall survival rates were 69.1% (95% CI 61.7-76.0%), 21.5% (95% CI 12.3-32.3%), and 19.9% (95% CI 13.9-26.6%), respectively. The median overall survival was 24 months (95% CI 17.7-27 months). Most studies reported significant associations between better survival and N0/1 status, complete resection status, and neoadjuvant therapy. CONCLUSION: Extended lung resection, including the left atrium, for NSCLC is feasible with acceptable morbidity and mortality when complete resection is achieved. Lymph node N0/1 status coupled with the use of neoadjuvant therapies is associated with better outcomes.

Genomic and Transcriptomic Predictors of Response to Immune Checkpoint Inhibitors in Melanoma Patients: A Machine Learning Approach.

Immune checkpoint inhibitors (ICIs) became one of the most revolutionary cancer treatments, especially in melanoma. While they have been proven to prolong survival with lesser side effects compared to chemotherapy, the accurate prediction of response remains to be an unmet gap. Thus, we aim to identify accurate clinical and transcriptomic biomarkers for ICI response in melanoma. We also provide mechanistic insight into how high-performing markers impose their effect on the tumor microenvironment (TME). Clinical and transcriptomic data were retrieved from melanoma studies administering ICIs from cBioportal and GEO databases. Four machine learning models were developed using random-forest classification (RFC) entailing clinical and genomic features (RFC7), differentially expressed genes (DEGs, RFC-Seq), survival-related DEGs (RFC-Surv) and a combination model. The xCELL algorithm was used to investigate the TME. A total of 212 ICI-treated melanoma patients were identified. All models achieved a high area under the curve (AUC) and bootstrap estimate (RFC7: 0.71, 0.74; RFC-Seq: 0.87, 0.75; RFC-Surv: 0.76, 0.76, respectively). Tumor mutation burden, GSTA3, and VNN2 were the highest contributing features. Tumor infiltration analyses revealed a direct correlation between upregulated genes and CD8+, CD4+ T cells, and B cells and inversely correlated with myeloid-derived suppressor cells. Our findings confirmed the accuracy of several genomic, clinical, and transcriptomic-based RFC models, that could further support the use of TMB in predicting response to ICIs. Novel genes (GSTA3 and VNN2) were identified through RFC-seq and RFC-surv models that could serve as genomic biomarkers after robust validation.

Management of chronic subdural hematoma: A study from Jordan.

Objectives: Chronic subdural hematoma (CSDH) is a common condition encountered in neurosurgical practice. Few studies have reported the characteristics of CSDH patients in the Middle Eastern population. We describe the clinical presentation, surgical management, radiological findings, and post-operative outcomes in our hospital. Methods: We performed a retrospective cohort study in King Abdullah University Hospital, Northern Jordan, between 2009 and 2019. Data were extracted from patients' medical records and analyzed in patients treated with burr hole drainage (BHD). Univariate analysis was performed to identify correlations with age, laterality, and recurrence. Results: A total of 172 CSDH patients were identified, of whom 128 (74.4%) were treated surgically. The mean age of patients treated with BHD (n = 108) was 60.9 years with a male-to-female ratio of 2.38:1. Headache was the most common presenting symptom (64.81%) and was significant in patients aged 41-64 years (p = 0.004), whereas muscle weakness and unsteady gait were significant in patients ≥ 65 years (p = 0.004 and p = 0.033, respectively). A higher pre-operative maximum thickness was associated with bilateral presentation (p = 0.001), whereas a higher pre-operative midline shift was associated with unilateral presentation (p = 0.027). Regarding CSDH recurrence, only a preoperative midline shift was significant (p = 0.021). Conclusion: Clinical presentation was affected by age, as patients < 65 years commonly presented with headaches, whereas those ≥ 65 years presented with limb weakness, speech impairment, unsteady gait, and altered consciousness. BHD was the most utilized surgical option with low mortality and complication rates. Recurrence was only associated with a pre-operative midline shift.

Primary and secondary immune checkpoint inhibitors resistance in colorectal cancer: Key mechanisms and ways to overcome resistance.

Immune checkpoint inhibitors (ICIs) have significantly advanced colorectal cancer treatment in recent years. Antibodies that target the proteins programmed cell death-1 (PD-1), programmed cell death-1 ligand 1 (PD-L1), and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) are among the ICIs that are currently being used in clinical practice. However, in colorectal cancer, ICI's effectiveness is limited to a fraction of patients with microsatellite instability-high (MSI-H), which only accounts for about 5% of advanced cases. The tumor microenvironment and intrinsic changes in tumor cells are just a couple of the many mechanisms that play a role in ICI primary or secondary resistance. In order to advance precision medicine and broaden the population benefiting from ICI, this paper highlights the main underlying mechanisms of ICIs resistance and suggested techniques to overcome it.

The Use of Bruton Tyrosine Kinase Inhibitors in Waldenström's Macroglobulinemia.

The use of Bruton Tyrosine Kinase (BTK) inhibitors in Waldenström's Macroglobulinemia (WM) is evolving. Ibrutinib, a first-generation BTK inhibitor, is currently approved for use in frontline and relapsed/refractory disease. Second-generation BTK inhibitors are being used and studied to improve clinical outcomes and/or safety profile. Zanubrutinib, one such second-generation inhibitor, was recently approved in treatment-naive and refractory/relapsed patients. Here, we review the use of BTK inhibitors in WM in front-line and refractory or relapsed settings. We also highlight common adverse events, the emergence of BTK inhibitors resistance, and future directions of their use.

First- versus second-generation Bruton tyrosine kinase inhibitors in Waldenström's Macroglobulinemia: A systematic review and meta-analysis.

Bruton tyrosine kinase inhibitors (BTKi) are important treatment options in Waldenström's macroglobulinemia (WM). Whether second-generation BTKi are associated with improved outcomes and/or better safety profile remains unclear. We did a systematic review and meta-analysis of clinical trials that reported data on the outcomes of patients with WM who received either first- or second-generation BTKi in the period between January 2010 and August 2021. Studies with twenty or fewer patients were excluded. The primary outcomes were efficacy measured by response and survival data. Eleven studies met the eligibility criteria and were included in the final analysis (n = 730 patients). A total of 298 patients received 1st-generation BTKi and 432 received a 2nd-generation BTKi. Pooled overall response rate (ORR) and major response rate (MRR) for both generations were similar (94.2% and 78.5% in 1st vs. 88.9% and 75.1% in 2nd, respectively). MRR for both generations was higher in MYD88 Mut/CXCR4 WT patients compared to MYD88 Mut/CXCR4 Mut patients (odds ratio [OR]: 3.9, 95% CI: 2.2 to 5.5). Pooled 18-mo progression-free survival (PFS) was similar for both generations (88.5% vs. 87.3%). Grade 3/4 atrial fibrillation was higher in 1st-generation BTKi (3.1% vs. 0.4%); however, grade-3/-4 infections and neutropenia were more frequent in 2nd-generarion BTKi (20.9% vs. 13.2%, 17.7% vs. 12%, respectively). The efficacy of 1st- and 2nd-generation BTKis is comparable. The 1st-generation BTKi were associated with a higher risk of atrial fibrillation, whereas infections and neutropenia occurred more frequently in 2nd-generation BTKi.