Innate immunity as a target for novel therapeutics in triple negative breast cancer.

INTRODUCTION: Currently, triple-negative breast cancer (TNBC) has limited therapeutic options beyond chemotherapy and has worse outcomes than other breast cancer subtypes. Initial experience with immune checkpoint blockade for the treatment of TNBC has indicated that modifying the tumor immune response represents a promising direction of investigation. Subsequent studies have led to a deeper understanding of the heterogeneity of this disease and have informed further exploration of numerous potential therapeutic approaches to intervene in the tumor microenvironment (TME). AREAS COVERED: Initial work in this arena has focused on enhanced definition of checkpoints in activation of an adaptive immune response. In this review, we discuss recent efforts that have looked into components of innate immunity to reverse immunosuppressive phenotypes and augment antitumor immune response. EXPERT OPINION: Current treatment options for TNBC have been improved with the approval of immune checkpoint inhibitors (ICI) in both advanced and early-stage disease; however, the challenge remains to expand the number of patients that will benefit from immunotherapy. Optimizing the innate immune response represents an opportunity to improve this therapeutic index, and the development of an array of novel agents is underway. Success will depend on precision characterization of the patient TME and selection of ideal combination therapy.

Pembrolizumab-induced Toxic Epidermal Necrolysis in a Patient with Metastatic Esophageal Adenocarcinoma.

Adverse cutaneous reactions associated with the immune checkpoint inhibitor (ICI) pembrolizumab are well documented, yet life-threatening reactions such as Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) are infrequent.1,2 We present a case of pembrolizumab-induced TEN in a patient with metastatic esophageal adenocarcinoma who was successfully treated with cyclosporine and systemic corticosteroids.

Dermoscopic naevus patterns in people at high versus moderate/low melanoma risk in Queensland.

INTRODUCTION: Dermoscopic understanding of naevus characteristics is essential baseline knowledge for identifying early malignant changes. METHOD: This cross-sectional study includes 34 patients (56% female, mean age 48 years) at high risk of melanoma (personal or a first degree family member with history of melanoma) and 31 moderate/low melanoma risk volunteers (55% female, mean age 37 years) recruited at the Princess Alexandra Hospital, Brisbane, between October 2009 and March 2010. Participants received full body and individual dermoscopic imaging of clinically significant naevi (≥2 mm on the back of male/female and lower limbs of female and ≥5 mm at other body sites). Dermoscopic patterns of naevi were compared between people at high versus moderate/low melanoma risk according to age and body site. RESULTS: In both high and moderate/low risk groups, globular naevi predominated on the head/neck and abdomen/chest, reticular and non-specific naevi on the back, and non-specific pattern on the upper and lower limbs. Non-specific naevi were the most common in all age groups. In both risk groups, globular naevi were more frequent in the younger age bracket, and reticular naevi were more frequent in the older age bracket. Mixed naevus patterns were infrequent and were more common in the younger age brackets of both risk groups. CONCLUSION: Our preliminary data shows that dermoscopic naevus patterns were similar for age and body site in people at different levels of melanoma risk, suggesting high melanoma risk does not influence dermoscopic naevus patterns.

Heuristic bias in stem cell biology.

When studying purified hematopoietic stem cells, the urge for mechanisms and reductionist approaches appears to be overwhelming. The prime focus of the field has recently been on the study of highly purified hematopoietic stem cells using various lineage and stem cell-specific markers, all of which adequately and conveniently fit the established hierarchical stem cell model. This methodology is tainted with bias and has led to incomplete conclusions. Much of our own work has shown that the purified hematopoietic stem cell, which has been so heavily studied, is not representative of the total population of hematopoietic stem cells and that rather than functioning within a hierarchical model of expansion the true hematopoietic stem cell is one that is actively cycling through various differentiation potentials within a dynamic continuum. Additional work with increased emphasis on studying whole populations and direct mechanistic studies to these populations is needed. Furthermore, the most productive studies may well be mechanistic at the cellular or tissue levels. Lastly, the application of robust machine learning algorithms may provide insight into the dynamic variability and flux of stem cell fate and differentiation potential.