Faculty Bibliography

OBJECTIVE:We previously found that galectin-7 was upregulated in patients with cervical cancer who remained recurrence-free after chemoradiation. We hypothesized that pretreatment levels of galectin-7 predict radiation response in patients with squamous cell carcinoma (SCC) of the cervix. METHODS:Galectin-7 expression was assessed by immunohistochemical staining of a tissue microarray of paraffin-embedded specimens from 161 patients with cervical SCC treated with definitive radiation therapy in 1980-1999. Galectin-7 expression was scored as absent or present. Distant metastasis-free survival (DMFS), disease-specific survival (DSS), and overall survival (OS) were computed using the Kaplan-Meier method and log-rank tests. RESULTS:The median age at diagnosis was 45 years (range 21-85) and median follow-up interval was 71 months (range 0-285). Of the 161 patients, 105 (65%) had FIGO stage IB disease, 18 (11%) stage IIA, and 38 (24%) stage IIB. Median tumor diameter was 5.5 cm (range 3.5-8). Seven patients (4%) received concurrent chemotherapy; 139 patients (86%) had galectin-7-positive tumors and 22 (14%) galectin-7-negative tumors. Five-year DMFS rates for patients with galectin-7-positive versus -negative tumors were 73% and 55% (p=0.05); DSS, 65% and 36% (p=0.004); and OS, 64% and 36% (p=0.005). In multivariate analysis adjusting for age, stage, and tumor diameter, galectin-7 expression remained a significant predictor of DMFS (hazard ratio [HR]=0.43, p=0.03), DSS (HR=0.34, p=0.001), and OS (HR=0.34, p=0.001). CONCLUSIONS:Elevated galectin-7 expression is associated with improved outcomes after radiation therapy for cervical cancer. Further studies are required to validate these findings and clarify the role of galectin-7 in disease progression and radiation response.

With the advent of high-throughput sequencing technologies, much progress has been made in the identification of somatic structural rearrangements in cancer genomes. However, characterization of the complex alterations and their associated mechanisms remains inadequate. Here, we report a comprehensive analysis of whole-genome sequencing and DNA copy number data sets from The Cancer Genome Atlas to relate chromosomal alterations to imbalances in DNA dosage and describe the landscape of intragenic breakpoints in glioblastoma multiforme (GBM). Gene length, guanine-cytosine (GC) content, and local presence of a copy number alteration were closely associated with breakpoint susceptibility. A dense pattern of repeated focal amplifications involving the murine double minute 2 (MDM2)/cyclin-dependent kinase 4 (CDK4) oncogenes and associated with poor survival was identified in 5% of GBMs. Gene fusions and rearrangements were detected concomitant within the breakpoint-enriched region. At the gene level, we noted recurrent breakpoints in genes such as apoptosis regulator FAF1. Structural alterations of the FAF1 gene disrupted expression and led to protein depletion. Restoration of the FAF1 protein in glioma cell lines significantly increased the FAS-mediated apoptosis response. Our study uncovered a previously underappreciated genomic mechanism of gene deregulation that can confer growth advantages on tumor cells and may generate cancer-specific vulnerabilities in subsets of GBM.

Despite extensive study, few therapeutic targets have been identified for glioblastoma (GBM). Here we show that patient-derived glioma sphere cultures (GSCs) that resemble either the proneural (PN) or mesenchymal (MES) transcriptomal subtypes differ significantly in their biological characteristics. Moreover, we found that a subset of the PN GSCs undergoes differentiation to a MES state in a TNF-α/NF-κB-dependent manner with an associated enrichment of CD44 subpopulations and radioresistant phenotypes. We present data to suggest that the tumor microenvironment cell types such as macrophages/microglia may play an integral role in this process. We further show that the MES signature, CD44 expression, and NF-κB activation correlate with poor radiation response and shorter survival in patients with GBM.

Histopathologic classification has been widely used to type and grade primary brain tumors. However, the diverse behavior of primary brain tumors has made prognostic determinations based purely on clinical and histopathologic variables difficult. Recent advances in the molecular genetics of brain tumors have helped to explain the witnessed heterogeneity regarding response to treatment, time to progression, and overall survival. Additionally, there has been interest in identifying predictive factors to help direct patients to therapeutic interventions specific to their tumor and patient biology. Further identification of both prognostic and predictive biomarkers will make possible better patient stratification and individualization of treatment.

PURPOSE/OBJECTIVE:The number of brain metastases (BM) is a major consideration in determining patient eligibility for stereotactic radiosurgery (SRS), but the evidence for this popular practice is equivocal. The purpose of this study was to determine whether, following multivariate adjustment, the number and volume of BM held prognostic significance in a cohort of patients initially treated with SRS alone. METHODS AND MATERIALS/METHODS:A total of 251 patients with primary malignancies, including non-small cell lung cancer (34%), melanoma (30%), and breast carcinoma (16%), underwent SRS for initial treatment of BM. SRS was used as the sole management (62% of patients) or was combined with salvage treatment with SRS (22%), whole-brain radiation therapy (WBRT; 13%), or resection (3%). Median follow-up time was 9.4 months. Survival was determined using the Kaplan-Meier method. Cox regression was used to assess the effects of patient factors on distant brain failure (DBF), local control (LC), and overall survival (OS). RESULTS:LC at 1 year was 94.6%, and median time to DBF was 10 months. Median OS was 11.1 months. On multivariate analysis, statistically significant predictors of OS were presence of extracranial disease (hazard ratio [HR], 4.2, P<.001), total tumor volume greater than 2 cm(3) (HR, 1.98; P<.001), age ≥60 years (HR, 1.67; P=.002), and diagnosis-specific graded prognostic assessment (HR, 0.71; P<.001). The presence of extracranial disease was a statistically significant predictor of DBF (HR, 2.15), and tumor volume was predictive of LC (HR, 4.56 for total volume >2 cm(3)). The number of BM was not predictive of DBF, LC, or OS. CONCLUSIONS:The number of BM is not a strong predictor for clinical outcomes following initial SRS for newly diagnosed BM. Other factors including total treatment volume and systemic disease status are better determinants of outcome and may facilitate appropriate use of SRS or WBRT.

A first research development progress report of the Chromosome 19 Consortium with members from Sweden, Norway, Spain, United States, China and India, a part of the Chromosome-centric Human Proteome Project (C-HPP) global initiative, is presented ( http://www.c-hpp.org ). From the chromosome 19 peptide-targeted library constituting 6159 peptides, a pilot study was conducted using a subset with 125 isotope-labeled peptides. We applied an annotation strategy with triple quadrupole, ESI-Qtrap, and MALDI mass spectrometry platforms, comparing the quality of data within and in between these instrumental set-ups. LC-MS conditions were outlined by multiplex assay developments, followed by MRM assay developments. SRM was applied to biobank samples, quantifying kallikrein 3 (prostate specific antigen) in plasma from prostate cancer patients. The antibody production has been initiated for more than 1200 genes from the entire chromosome 19, and the progress developments are presented. We developed a dedicated transcript microarray to serve as the mRNA identifier by screening cancer cell lines. NAPPA protein arrays were built to align with the transcript data with the Chromosome 19 NAPPA chip, dedicated to 90 proteins, as the first development delivery. We have introduced an IT-infrastructure utilizing a LIMS system that serves as the key interface for the research teams to share and explore data generated within the project. The cross-site data repository will form the basis for sample processing, including biological samples as well as patient samples from national Biobanks.