Epigenetic editing and tumor-dependent immunosuppressive signaling in head and neck malignancies

Head and neck cancer (HNC) comprises a heterogeneous variety of malignant tumors, characterized by a relatively high tumor mutation burden. Previous data have revealed that immune system dysfunction appears to serve a key role in the development and progression of HNC and established immunosuppression is vital for evading the host immune response. Despite progress in chemotherapy and radiotherapy, the survival rate of patients with HNC is still low. Therefore, the present review discusses the development of novel immunotherapy approaches based on the various immune cell signaling routes that trigger drug resistance and immunosuppression. Additionally, the present review discusses the epigenetic alterations, including DNA methylation, histone modifications, chromatin remodeling and non-coding RNAs that drive and support HNC progression. Furthermore, the role of cancer-associated fibroblasts, tumor macrophages and myeloid cells in tumor-related immunosuppression are considered. Specifically, the molecular immune-related mechanisms in the tumor microenvironment, which lead to decreased drug sensitivity and tumor relapse, and strategies for reversing drug resistance and targeting immunosuppressive tumor networks are discussed. Deciphering these molecular mechanisms is essential for preclinical and clinical investigations in order to enhance therapeutic efficacy. Furthermore, an improved understanding of these immune cell signaling pathways that drive immune surveillance, immune-driven inflammation and tumor-related immunosuppression is necessary for future personalized HNC-based therapeutic approaches.     

A multivariate neuromonitoring approach to neuroplasticity-based computerized cognitive training in recent onset psychosis

Two decades of studies suggest that computerized cognitive training (CCT) has an effect on cognitive improvement and the restoration of brain activity. Nevertheless, individual response to CCT remains heterogenous, and the predictive potential of neuroimaging in gauging response to CCT remains unknown. We employed multivariate pattern analysis (MVPA) on whole-brain resting-state functional connectivity (rsFC) to (neuro)monitor clinical outcome defined as psychosis-likeness change after 10-hours of CCT in recent onset psychosis (ROP) patients. Additionally, we investigated if sensory processing (SP) change during CCT is associated with individual psychosis-likeness change and cognitive gains after CCT. 26 ROP patients were divided into maintainers and improvers based on their SP change during CCT. A support vector machine (SVM) classifier separating 56 healthy controls (HC) from 35 ROP patients using rsFC (balanced accuracy of 65.5%, P < 0.01) was built in an independent sample to create a naturalistic model representing the HC-ROP hyperplane. This model was out-of-sample cross-validated in the ROP patients from the CCT trial to assess associations between rsFC pattern change, cognitive gains and SP during CCT. Patients with intact SP threshold at baseline showed improved attention despite psychosis status on the SVM hyperplane at follow-up (p < 0.05). Contrarily, the attentional gains occurred in the ROP patients who showed impaired SP at baseline only if rsfMRI diagnosis status shifted to the healthy-like side of the SVM continuum. Our results reveal the utility of MVPA for elucidating treatment response neuromarkers based on rsFC-SP change and pave the road to more personalized interventions.Subject terms: Predictive markers, Psychosis     

Combined salvage therapies for recurrent glioblastoma multiforme: evaluation of an interdisciplinary treatment algorithm

Glioblastoma multiforme patients presenting with recurrence following multimodality therapy have limited palliative treatment options when the major modalities of therapy including surgery, radiochemotherapy and adjuvant chemotherapy have been exhausted. The authors introduce a clinical and radiological indication-solving algorithm and provide outcome rates of a glioblastoma recurrence cohort. Sixty six consecutive adult patients with recurrent glioblastoma who underwent a combined scheme of salvage treatments consisting of reoperation, high dose rate (HDR) brachytherapy and chemotherapy were included in this prospective study and were compared to a historical control group of 24 recurrent glioblastoma patients who have been treated with intensive temozolomide chemotherapy as the only treatment modality. Median follow-up was 32 months (range 28–36 months). Median survival was 9 months for the entire cohort after salvage treatment and can be translated into a 3-month improvement in survival compared to the control group of patients with glioblastoma recurrence treated with temozolomide alone (P = 0.043). Toxicity and adverse events of reoperation, HDR brachytherapy combined with chemotherapy were quite favourable compared to intensive temomozolomide chemotherapy as the only treatment. Our experience suggests that a combined salvage treatment plan appears to be both feasible and effective and can be considered in selected patients affected by recurrent high grade gliomas. The authors’ clinical and radiological indication-solving algorithm may assist in providing the best possible salvage treatment for this difficult population.     

Combining the ‘bottom up’ and ‘top down’ approaches in pharmacokinetic modelling: fitting PBPK models to observed clinical data

Pharmacokinetic models range from being entirely exploratory and empirical, to semi-mechanistic and ultimately complex physiologically based pharmacokinetic (PBPK) models. This choice is conditional on the modelling purpose as well as the amount and quality of the available data. The main advantage of PBPK models is that they can be used to extrapolate outside the studied population and experimental conditions. The trade-off for this advantage is a complex system of differential equations with a considerable number of model parameters. When these parameters cannot be informed from in vitro or in silico experiments they are usually optimized with respect to observed clinical data. Parameter estimation in complex models is a challenging task associated with many methodological issues which are discussed here with specific recommendations. Concepts such as structural and practical identifiability are described with regards to PBPK modelling and the value of experimental design and sensitivity analyses is sketched out. Parameter estimation approaches are discussed, while we also highlight the importance of not neglecting the covariance structure between model parameters and the uncertainty and population variability that is associated with them. Finally the possibility of using model order reduction techniques and minimal semi-mechanistic models that retain the physiological-mechanistic nature only in the parts of the model which are relevant to the desired modelling purpose is emphasized. Careful attention to all the above issues allows us to integrate successfully information from in vitro or in silico experiments together with information deriving from observed clinical data and develop mechanistically sound models with clinical relevance.     

Transthoracic Repair of Asymptomatic Morgagni Hernia in an Adult

Morgagni hernia represents a rare type of diaphragmatic hernia which usually occurs on the right side, in the anterior mediastinum. Predisposing factors of Morgagni hernia include pregnancy, obesity or other causes of increased intraabdominal pressure, and a history of trauma. Most of adults diagnosed with a foramen of Morgagni are asymptomatic. We report a case of an overweight 23-year-old asymptomatic patient with a Morgagni hernia incidentally diagnosed on chest x-ray. There was a satisfactory result after the repair by a transthoracic approach.     

Biologics in combination with chemotherapy for gastric cancer: is this the answer?

Gastric cancer (GC) continues to be a significant problem worldwide and is the third leading cause of cancer death. Armamentarium to treat GC whether it is potentially curable or metastatic (incurable) has changed little over the last decades with only two new agents being approved (trastuzumab and ramucirumab). Many relatively healthy patients after second-line therapy have limited and generally ineffective options. The recent The Cancer Genome Atlas analysis has uncovered four genotypes of GC; however, it is not sufficient to change our treatment strategies and more work needs to be done. The popular front-line regimen containing a platinum compound and a fluoropyrimidine is widely used for drug development and has worked well globally. Thus, this combination appears suitable for adding a biologic agent. The search for new classes of cytotoxics has almost stopped, but it is clear that cytotoxic therapy continues to contribute and it is here to stay. Biologic agents that modulate the immune system of the host appear promising along with many other biologics that can potentially inhibit signaling pathways that are often employed by GC cells. We will briefly describe the efforts that have targeted EGFR, mTOR, angiogenesis and MET pathways.