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Despite low ERBB4 mRNA in glioblastoma, the functional effects of increased ERBB4 activation identify ERBB4 as a potential prognostic and therapeutic target
The functional effects of increased ERBB4 activation identify ERBB4 as a potential prognostic and therapeutic target
Glioblastoma in adults, and medulloblastoma and pineoblastoma that mainly affect children, are aggressive brain tumors.
Predicting treatment response or survival of cancer patients remains challenging in immuno-oncology. Efforts to overcome these challenges focus, among others, on the discovery of new biomarkers. Despite advances in cellular and molecular approaches, only a limited number of candidate biomarkers eventually enter clinical practice.
The success of immunotherapy that targets inhibitory T cell receptors for the treatment of multiple cancers has seen the anti-tumor immune response re-emerge as a promising biomarker of response to therapy. Longitudinal characterization of T cells in the tumor microenvironment (TME) helps us understand how to promote effective anti-tumor immunity. However, serial analyses at the tumor site are rarely feasible in clinical practice.
The review will outline evidence of long-term health effects, possible mechanisms linking burn injury to long-term health and current research into burns as a chronic disease
This review explores computational strategies to yield biological insight into the processes involved in the immunotherapeutic response
We discovered a previously unknown major resistance mechanism in glioma in that most EGFR domain III-targeting antibodies do not neutralize EGFRvIII
We present a curated panel of 12 readily-usable, cell lines representing the spectrum of molecular subtypes of IDH-wildtype glioblastoma
Immunotherapies have revolutionized cancer treatment. In particular, immune checkpoint therapy (ICT) leads to durable responses in some patients with some cancers. However, the majority of treated patients do not respond. Understanding immune mechanisms that underlie responsiveness to ICT will help identify predictive biomarkers of response and develop treatments to convert non-responding patients to responding ones. ICT primarily acts at the level of adaptive immunity. The specificity of adaptive immune cells, such as T and B cells, is determined by antigen-specific receptors.