Molecular Biomarkers and Drug Targets in Brain Arteriovenous and Cavernous Malformations: Where Are We?

Vascular malformations of the brain (VMB) comprise abnormal development of blood vessels. A small fraction of VMBs causes hemorrhages with neurological morbidity and risk of mortality in patients. Most often, they are symptomatically silent and are detected at advanced stages of disease progression. The most common forms of VMBs are arteriovenous and cavernous malformations in the brain. Radiopathological features of these diseases are complex with high phenotypic variability. Early detection of these malformations followed by preclusion of severe neurological deficits such as hemorrhage and stroke is crucial in the clinical management of patients with VMBs. The technological advances in high-throughput omics platforms have currently infused a zest in translational research in VMBs. Besides finding novel biomarkers and therapeutic targets, these studies have withal contributed significantly to the understanding of the etiopathogenesis of VMBs. Here we discuss the recent advances in predictive and prognostic biomarker research in sporadic and familial arteriovenous malformations as well as cerebral cavernous malformations. Furthermore, we analyze the clinical applicability of protein and noncoding RNA-based molecular-targeted therapies which may have a potentially key role in disease management.

Clinical Utility of Epigenetic Changes in Pancreatic Adenocarcinoma

Pancreatic cancer is a molecularly heterogeneous disease. Epigenetic changes and epigenetic regulatory mechanisms underlie at least some of this heterogeneity and contribute to the evolution of aggressive tumor biology in patients and the tumor’s intrinsic resistance to therapy. Here we review our current understanding of epigenetic dysregulation in pancreatic cancer and how it is contributing to our efforts in early diagnosis, predictive and prognostic biomarker development and new therapeutic approaches in this deadly cancer.

Brain Versus Blood: A Systematic Review on the Concordance Between Peripheral and Central Kynurenine Pathway Measures in Psychiatric Disorders

ObjectiveDisturbances in the kynurenine pathway have been implicated in the pathophysiology of psychotic and mood disorders, as well as several other psychiatric illnesses. It remains uncertain however to what extent metabolite levels detectable in plasma or serum reflect brain kynurenine metabolism and other disease-specific pathophysiological changes. The primary objective of this systematic review was to investigate the concordance between peripheral and central (CSF or brain tissue) kynurenine metabolites. As secondary aims we describe their correlation with illness course, treatment response, and neuroanatomical abnormalities in psychiatric diseases.MethodsWe performed a systematic literature search until February 2021 in PubMed. We included 27 original research articles describing a correlation between peripheral and central kynurenine metabolite measures in preclinical studies and human samples from patients suffering from neuropsychiatric disorders and other conditions. We also included 32 articles reporting associations between peripheral KP markers and symptom severity, CNS pathology or treatment response in schizophrenia, bipolar disorder or major depressive disorder.ResultsFor kynurenine and 3-hydroxykynurenine, moderate to strong concordance was found between peripheral and central concentrations not only in psychiatric disorders, but also in other (patho)physiological conditions. Despite discordant findings for other metabolites (mainly tryptophan and kynurenic acid), blood metabolite levels were associated with clinical symptoms and treatment response in psychiatric patients, as well as with observed neuroanatomical abnormalities and glial activity.ConclusionOnly kynurenine and 3-hydroxykynurenine demonstrated a consistent and reliable concordance between peripheral and central measures. Evidence from psychiatric studies on kynurenine pathway concordance is scarce, and more research is needed to determine the validity of peripheral kynurenine metabolite assessment as proxy markers for CNS processes. Peripheral kynurenine and 3-hydroxykynurenine may nonetheless represent valuable predictive and prognostic biomarker candidates for psychiatric disorders.

A 12-chemokine Gene Signature Is Associated With an Enhanced Cancer-immunity Cycle and Is Relevant for Precision Immunotherapy

Background: Advances in the understanding of checkpoint blockade immunotherapy have suggested that boosting the cancer-immunity cycle (CIC) can help induce regression of tumors. However, good efficacy only occurs in a subset of patients. Predictive biomarkers that can reflect the tumor microenvironment (TME) and CIC may have great potential. More recently, the presence of intratumoral tertiary lymphoid structures (TLSs) has also been correlated with clinical benefit in patients.Methods: In this study, we comprehensively measured the immunogram scores (IGSs) for the CIC and explored the associations between immunological and mutational features and a 12-chemokine metagene TLS signature in data from The Cancer Genome Atlas (TCGA). Three immunotherapy datasets were further applied for validation.Results: In the TCGA dataset, we observed that the 12-chemokine TLS signature score was positively associated with a boosted CIC, as represented by increased tumor mutational burden (TMB) and neoantigen burden (TNB), enriched immune cell infiltration, and elevated cytolytic activity and checkpoint expression. Specifically, in bladder cancer and melanoma, a high 12-chemokine TLS signature score was found to potentially reflect an expanded CIC phenotype characterized by high TNB and an immune-inflamed feature. The predictive and prognostic value of the 12-chemokine TLS signature was further validated in several immunotherapy datasets.Conclusion: The score of a 12-chemokine metagene signature may serve as a pancancer marker of the immune-active phenotype. The 12-chemokine TLS signature showed promise as a predictive and prognostic biomarker for ICB efficacy, especially in melanoma and bladder cancer.

PTPRT Could Be a Treatment Predictive and Prognostic Biomarker for Breast Cancer

The role of PTPRT in breast cancer was not comprehensively explored and well analyzed. Our study comprehensively searched available databases to analyze the clinical role of PTPRT in breast cancer. We found PTPRT was an antioncogene and could be used to distinguish different stages, age groups, molecular types, and grades for breast cancer. PTPRT might be primary resistance biomarkers for taxane, anthracycline, and ixabepilone but not be acquired resistance biomarkers. Higher PTPRT expression levels were associated with longer overall survival and recurrence-free survival. PTPRT was negatively associated with Ki67 and CDK4/6 but positively associated with BCL-2. PTPRT might be associated with cell cycle and microtubule, and tumor infiltration in B cell and macrophage cell. PTPRT could predict chemotherapy effectiveness and prognosis for breast cancer patients. PTPRT might inhibit tumor growth via disrupting the microtubule dynamics and cell cycle in breast cancer.

The Signal Transducer IL6ST (gp130) as a Predictive and Prognostic Biomarker in Breast Cancer

Novel biomarkers are needed to continue to improve breast cancer clinical management and outcome. IL6-like cytokines, whose pleiotropic functions include roles in many hallmarks of malignancy, rely on the signal transducer IL6ST (gp130) for all their signalling. To date, 10 separate independent studies based on the analysis of clinical breast cancer samples have identified IL6ST as a predictor. Consistent findings suggest that IL6ST is a positive prognostic factor and is associated with ER status. Interestingly, these studies include 4 multigene signatures (EndoPredict, EER4, IRSN-23 and 42GC) that incorporate IL6ST to predict risk of recurrence or outcome from endocrine or chemotherapy. Here we review the existing evidence on the promising predictive and prognostic value of IL6ST. We also discuss how this potential could be further translated into clinical practice beyond the EndoPredict tool, which is already available in the clinic. The most promising route to further exploit IL6ST’s promising predicting power will likely be through additional hybrid multifactor signatures that allow for more robust stratification of ER+ breast tumours into discrete groups with distinct outcomes, thus enabling greater refinement of the treatment-selection process.

PD-L1 Expression and Treatment Implications in Metastatic Clear Cell Renal Cell Carcinoma: A Systematic Review

BACKGROUND: Over the past decade, immune checkpoint inhibitors (ICIs) have increasingly become the standard of care for various advanced malignancies, including metastatic clear cell renal cell carcinoma (mccRCC). Most ICIs currently used in clinical practice inhibit the interaction between the programmed cell death protein-1 (PD-1) and programmed death ligand-1 (PD-L1) complex. A deeper understanding of this interaction and PD-L1 expression in tumors has led to more effective therapies in the treatment of advanced cancers, but the debate regarding the utility of PD-L1 as a biomarker continues. OBJECTIVE: We aimed to systematically evaluate the role of PD-L1 in mccRCC in terms of expression and treatment implications. METHODS: Following PRISMA guidelines, we performed a systematic literature search using PubMed and Embase through August 31, 2020. Titles and abstracts were screened to identify articles for full-text review. A hand search was also performed using Google Scholar and the bibliography to relevant studies. RESULTS: A total of 26 articles were identified, and relevant data were extracted and organized. The available information regarding PD-L1 expression in mccRCC from both prospective clinical trials and retrospective studies were summarized. We discussed the utility of PD-L1 as a predictive and prognostic biomarker in mccRCC, its association with other potential biomarkers, and the pattern and level of expression of PD-L1 in primary versus metastatic tumors. CONCLUSIONS: Although significant progress has been made, much more remains to be learned regarding the differences between PD-L1+ and PD-L1- ccRCC tumors, in terms of both the underlying biology and clinical responses to immunotherapy and other agents.

Early immune reconstitution assessment by flow/mass cytometry in autologous hematopoietic transplantation performed in a patient with multiple myeloma

Evaluation of immunoprofile as predictive and prognostic biomarker are essential to follow up patients in Multiple Myeloma after autologous hematopoietic stem cells transplantation (AHSCT). It can be defining the engraftment and predicts complications. An AHSCT was performed for the first time in the United Arab Emirates to treat a patient with multiple myeloma. We apply the evaluation of the patient's immune status before and during the early follow-up by flow and mass cytometry. The analysis revealed a decrease in all leukocyte populations in blood seven days after transplantation, mainly of B and T helper lymphocytes. The patients showed diarrhea and cellulitis as complications. An increase in regulatory T and NK lymphocytes was evidenced at the same time. 28 days’ post-transplantation, all lymphocyte populations were recovered, except for B lymphocytes, a high level of T regulatory and NK was maintained. The early immune restoration coincided with the recovery of the complications presented by the patient. the leukocyte composition of apheresis was similar to that found in blood at baseline time. Our study evidenced that the extended immunoprofile by mass cytometry could be useful to predict the outcome and response to transplantation.