John S. Kuo

Hippocampal-Sparing Whole-Brain Radiotherapy: A “How-To” Technique Using Helical Tomotherapy and Linear Accelerator–Based Intensity-Modulated Radiotherapy

PURPOSE Sparing the hippocampus during cranial irradiation poses important technical challenges with respect to contouring and treatment planning. Herein we report our preliminary experience with whole-brain radiotherapy using hippocampal sparing for patients with brain metastases. METHODS AND MATERIALS Five anonymous patients previously treated with whole-brain radiotherapy with hippocampal sparing were reviewed. The hippocampus was contoured, and hippocampal avoidance regions were created using a 5-mm volumetric expansion around the hippocampus. Helical tomotherapy and linear accelerator (LINAC)-based intensity-modulated radiotherapy (IMRT) treatment plans were generated for a prescription dose of 30 Gy in 10 fractions. RESULTS On average, the hippocampal avoidance volume was 3.3 cm(3), occupying 2.1% of the whole-brain planned target volume. Helical tomotherapy spared the hippocampus, with a median dose of 5.5 Gy and maximum dose of 12.8 Gy. LINAC-based IMRT spared the hippocampus, with a median dose of 7.8 Gy and maximum dose of 15.3 Gy. On a per-fraction basis, mean dose to the hippocampus (normalized to 2-Gy fractions) was reduced by 87% to 0.49 Gy(2) using helical tomotherapy and by 81% to 0.73 Gy(2) using LINAC-based IMRT. Target coverage and homogeneity was acceptable with both IMRT modalities, with differences largely attributed to more rapid dose fall-off with helical tomotherapy. CONCLUSION Modern IMRT techniques allow for sparing of the hippocampus with acceptable target coverage and homogeneity. Based on compelling preclinical evidence, a Phase II cooperative group trial has been developed to test the postulated neurocognitive benefit.

Estimated risk of perihippocampal disease progression after hippocampal avoidance during whole-brain radiotherapy: Safety profile for RTOG 0933

BACKGROUND AND PURPOSE RTOG 0933 is a phase II clinical trial of hippocampal avoidance during whole-brain radiotherapy (HA-WBRT) to prevent radiation-induced neurocognitive decline. By quantifying baseline incidence of perihippocampal or hippocampal metastasis, we sought to estimate the risk of developing metastases in the hippocampal avoidance region (the hippocampus plus 5mm margin). MATERIALS/METHODS Patients with < or = 10 brain metastases treated at two separate institutions were reviewed. Axial images from pre-treatment, post-contrast MRIs were used to contour each metastasis and hippocampus according to a published protocol. Clinical and radiographic variables were correlated with perihippocampal metastasis using a binary logistical regression analysis, with two-sided p<0.05 for statistical significance. RESULTS 1133 metastases were identified in 371 patients. Metastases within 5mm of the hippocampus were observed in 8.6% of patients (95% CI 5.7-11.5%) and 3.0% of brain metastases. None of the metastases lay within the hippocampus. A 1-cm(3) increase in the aggregate volume of intra-cranial metastatic disease was associated with an odds ratio of 1.02 (95% CI 1.006-1.034, p=0.003) for the presence of perihippocampal metastasis. CONCLUSION With an estimated perihippocampal metastasis risk of 8.6%, we deem HA-WBRT safe for clinical testing in patients with brain metastases as part of RTOG 0933.

Significant Association of Multiple Human Cytomegalovirus Genomic Loci with Glioblastoma Multiforme Samples

ABSTRACT Viruses are appreciated as etiological agents of certain human tumors, but the number of different cancer types induced or exacerbated by viral infections is unknown. Glioblastoma multiforme (GBM)/astrocytoma grade IV is a malignant and lethal brain cancer of unknown origin. Over the past decade, several studies have searched for the presence of a prominent herpesvirus, human cytomegalovirus (HCMV), in GBM samples. While some have detected HCMV DNA, RNA, and proteins in GBM tissues, others have not. Therefore, any purported association of HCMV with GBM remains controversial. In most of the previous studies, only one or a select few viral targets were analyzed. Thus, it remains unclear the extent to which the entire viral genome was present when detected. Here we report the results of a survey of GBM specimens for as many as 20 different regions of the HCMV genome. Our findings indicate that multiple HCMV loci are statistically more likely to be found in GBM samples than in other brain tumors or epileptic brain specimens and that the viral genome was more often detected in frozen samples than in paraffin-embedded archival tissue samples. Finally, our experimental results indicate that cellular genomes substantially outnumber viral genomes in HCMV-positive GBM specimens, likely indicating that only a minority of the cells found in such samples harbor viral DNA. These data argue for the association of HCMV with GBM, defining the virus as oncoaccessory. Furthermore, they imply that, were HCMV to enhance the growth or survival of a tumor (i.e., if it is oncomodulatory), it would likely do so through mechanisms distinct from classic tumor viruses that express transforming viral oncoproteins in the overwhelming majority of tumor cells.

Microfluidics-based devices: New tools for studying cancer and cancer stem cell migration

Cell movement is highly sensitive to stimuli from the extracellular matrix and media. Receptors on the plasma membrane in cells can activate signal transduction pathways that change the mechanical behavior of a cell by reorganizing motion-related organelles. Cancer cells change their migration mechanisms in response to different environments more robustly than noncancer cells. Therefore, therapeutic approaches to immobilize cancer cells via inhibition of the related signal transduction pathways rely on a better understanding of cell migration mechanisms. In recent years, engineers have been working with biologists to apply microfluidics technology to study cell migration. As opposed to conventional cultures on dishes, microfluidics deals with the manipulation of fluids that are geometrically constrained to a submillimeter scale. Such small scales offer a number of advantages including cost effectiveness, low consumption of reagents, high sensitivity, high spatiotemporal resolution, and laminar flow. Therefore, microfluidics has a potential as a new platform to study cell migration. In this review, we summarized recent progress on the application of microfluidics in cancer and other cell migration researches. These studies have enhanced our understanding of cell migration and cancer invasion as well as their responses to subtle variations in their microenvironment. We hope that this review will serve as an interdisciplinary guidance for both biologists and engineers as they further develop the microfluidic toolbox toward applications in cancer research.

Developmental signaling pathways in brain tumor-derived stem-like cells.

Recently, a subpopulation of cells highly efficient in tumor initiation and growth has been isolated from brain tumors. Of interest, these brain tumor initiating cells exhibit many stem‐like properties, including self‐renewal, extended proliferation, and multipotency, and are both phenotypically and genetically similar to normal neural stem cells (NSCs). Aberrant expression of developmental pathways, such as WNT, Hedgehog, Notch, and transforming growth factor‐β/bone morphogenetic protein, have been demonstrated in brain tumors, and extrinsic regulation of these pathways may be used to target brain tumor stem‐like cells (BTSCs) and form the basis of novel biological therapies. Because of regulatory redundancy during normal development, future therapeutic strategies to inhibit BTSC‐mediated tumor growth and minimize NSC‐related deleterious effects may require detailed understanding and regulation of multiple cellular mechanisms. This review analyzes the role developmental pathways play in brain tumors, focusing on the potential effects of pathway regulation on BTSC‐driven tumorigenesis. Developmental Dynamics 236:3297–3308, 2007.

Beyond the margins: real-time detection of cancer using targeted fluorophores

Over the past two decades, synergistic innovations in imaging technology have resulted in a revolution in which a range of biomedical applications are now benefiting from fluorescence imaging. Specifically, advances in fluorophore chemistry and imaging hardware, and the identification of targetable biomarkers have now positioned intraoperative fluorescence as a highly specific real-time detection modality for surgeons in oncology. In particular, the deeper tissue penetration and limited autofluorescence of near-infrared (NIR) fluorescence imaging improves the translational potential of this modality over visible-light fluorescence imaging. Rapid developments in fluorophores with improved characteristics, detection instrumentation, and targeting strategies led to the clinical testing in the early 2010s of the first targeted NIR fluorophores for intraoperative cancer detection. The foundations for the advances that underline this technology continue to be nurtured by the multidisciplinary collaboration of chemists, biologists, engineers, and clinicians. In this Review, we highlight the latest developments in NIR fluorophores, cancer-targeting strategies, and detection instrumentation for intraoperative cancer detection, and consider the unique challenges associated with their effective application in clinical settings.

The cancer stem cell paradigm: a new understanding of tumor development and treatment

Importance of the field: Cancer is the second leading cause of death in the United States, and therefore remains a central focus of modern medical research. Accumulating evidence supports a ‘cancer stem cell’ (CSC) model – where cancer growth and/or recurrence is driven by a small subset of tumor cells that exhibit properties similar to stem cells. This model may provide a conceptual framework for developing more effective cancer therapies that target cells propelling cancer growth. Areas covered in this review: We review evidence supporting the CSC model and associated implications for understanding cancer biology and developing novel therapeutic strategies. Current controversies and unanswered questions of the CSC model are also discussed. What the reader will gain: This review aims to describe how the CSC model is key to developing novel treatments and discusses associated shortcomings and unanswered questions. Take home message: A fresh look at cancer biology and treatment is needed for many incurable cancers to improve clinical prognosis for patients. The CSC model posits a hierarchy in cancer where only a subset of cells drive malignancy, and if features of this model are correct, has implications for development of novel and hopefully more successful approaches to cancer therapy.

MicroRNAs in Cancer: Glioblastoma and Glioblastoma Cancer Stem Cells

MicroRNAs represent an abundant class of endogenously expressed 18-25 nucleotide non-coding RNA molecules that function to silence gene expression through a process of post-transcriptional modification. They exhibit varied and widespread functions during normal development and tissue homeostasis, and accordingly their dysregulation plays major roles in many cancer types. Gliomas are cancers arising from the central nervous system. The most malignant and common glioma is glioblastoma multiforme (GBM), and even with aggressive treatment (surgical resection, chemotherapy, and radiation), average patient survival remains less than 2 years. In this review we will summarize the current findings regarding microRNAs in GBM and the biological and clinical implications of this data.

Introduction to Induced Pluripotent Stem Cells: Advancing the Potential for Personalized Medicine

Induced pluripotent stem (iPS) cell technology has enormous potential to advance medical therapy by personalizing regenerative medicine and creating novel human disease models for research and therapeutic testing. Before this technology is broadly used in the clinic, we must realistically evaluate its disease modeling and therapeutic potential. Recent advances including the use of iPS cells to successfully model spinal muscular atrophy in vitro, as well as new techniques in generating iPS cells with recombinant proteins have accelerated the prospects of iPS cells for clinical use in regenerative therapy. This review explores the development and limitations of iPS cell technology, presents a critical comparison of iPS cells and embryonic stem cells, and discusses potential clinical applications and future research directions.

Glioblastoma cancer stem cells: Biomarker and therapeutic advances

Glioblastoma multiforme (GBM) is the most common and aggressive primary brain tumor in humans. It accounts for fifty-two percent of primary brain malignancies in the United States and twenty percent of all primary intracranial tumors. Despite the current standard therapies of maximal safe surgical resection followed by temozolomide and radiotherapy, the median patient survival is still less than 2 years due to inevitable tumor recurrence. Glioblastoma cancer stem cells (GSCs) are a subgroup of tumor cells that are radiation and chemotherapy resistant and likely contribute to rapid tumor recurrence. In order to gain a better understanding of the many GBM-associated mutations, analysis of the GBM cancer genome is on-going; however, innovative strategies to target GSCs and overcome tumor resistance are needed to improve patient survival. Cancer stem cell biology studies reveal basic understandings of GSC resistance patterns and therapeutic responses. Membrane proteomics using phage and yeast display libraries provides a method to identify novel antibodies and surface antigens to better recognize, isolate, and target GSCs. Altogether, basic GBM and GSC genetics and proteomics studies combined with strategies to discover GSC-targeting agents could lead to novel treatments that significantly improve patient survival and quality of life.