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OBJECTIVE To compare two methods to estimate the magnitude of the illicit cigarette trade in Mexico and to contrast these results with tobacco industry figures. METHODS We used two survey methods a smoker survey and a discarded pack survey. Data were collected in eight major cities in Mexico between November and December 2017. A total of 2396 face-to-face interviews to adult smokers were conducted and 8204 discarded packs were collected. To determine whether cigarette packs were intended for the Mexican market, we analysed pack features required by Mexican regulations and self-reported brands of the last purchase. Standard statistical tests to compare proportions were employed. Correlates of illicit cigarette use were also analysed. RESULTS The share of cigarettes not intended for the Mexican market was 8.8% based on the analysis of discarded packs and 7.6% based on the survey of smokers, that is, the difference was small and only borderline significant overall (p=0.055). Also, both results were lower than those presented by the tobacco industry (16.6%). However, differences across methods were statistically significant for various cities. CONCLUSION Our results suggest that the optimal practice for the study of illicit trade is to cross validate estimates using both the smoker survey and the littered pack survey. If resources are limited, however, our findings indicate that either method could be used because both yield similar overall results, as longs as the potential biases are considered. Also, consistent with findings from other studies, our results suggest that the tobacco industry exaggerates the scope of illicit cigarette trade. © Author(s) (or their employer(s)) 2020. 6-Benzylaminopurine ic50 No commercial re-use. See rights and permissions. Published by BMJ.Obtaining blood and cerebrospinal fluid (CSF) is generally less invasive than standard tumor biopsy, and are increasingly used to develop surrogate biomarkers. Leptomeningeal disease (LMD), a devastating complication of cancer, represents a unique opportunity for using liquid biopsies for diagnosis, treatment and to elucidate underlying mechanisms of resistance to therapy. Copyright ©2020, American Association for Cancer Research.PURPOSE To examine effect of oncolytic herpes simplex virus (oHSV) on NOTCH signaling in CNS tumors. EXPERIMENTAL DESIGN Bioluminescence imaging, RPPA proteomics, fluorescence microscopy, reporter assays, and molecular biology approaches were used to evaluate NOTCH signaling. Orthotopic glioma- mouse models were utilized to evaluate effects in vivo. RESULTS We have identified that HSV-1 (oncolytic and wild type) infected glioma cells induce NOTCH signaling from inside of infected cells into adjacent tumor cells (inside out signaling). This was canonical NOTCH signaling which resulted in activation of RBPJ dependent transcriptional activity that could be rescued with dnMAML.High-throughput screening of HSV-1-encoded cDNA and micro-RNA libraries further uncovered that HSV-1 miR-H16 induced NOTCH signaling. We further identified that factor inhibiting HIF-1 (FIH-1) is a direct target of miR-H16, and that FIH-1 downregulation by virus encoded miR-H16 induces NOTCH activity.FIH-1 binding to Mib1 has been reported, but this is the first report that shows FIH-1 sequesters Mib1 to suppress NOTCH activation. We observed that FIH-1 degradation induced NOTCH ligand ubiquitination and NOTCH activity. Rembrandt and TCGA data analysis also uncovered a significant negative regulation between FIH-1 and NOTCH.Furthermore, combination of oHSV with NOTCH blocking GSI had a therapeutic advantage in two different intracranial glioma models treated with oncolytic HSV, without affecting safety profile of the virus in vivo. CONCLUSION To our knowledge this is the first report to identify impact of HSV-1 on NOTCH signaling and highlights the significance of combining oHSV and GSI for glioblastoma therapy. Copyright ©2020, American Association for Cancer Research.PURPOSE SMAD4 loss causes genomic instability and the initiation/progression of head and neck squamous cell carcinoma (HNSCC). Here, we study if SMAD4 loss sensitizes HNSCCs to olaparib (PARP inhibitor) in combination with radiotherapy (RT). EXPERIMENTAL DESIGN We analyzed HNSCC TCGA data for SMAD4 expression in association with FANC/BRCA family gene expression. Human HNSCC cell lines were screened for sensitivity to olaparib. Isogenic HNSCC cell lines were generated to restore or reduce SMAD4 expression and treated with olaparib, radiation, or the combination. HNSCC pretreatment specimens from a Phase I trial investigating olaparib were analyzed. RESULTS SMAD4 levels correlated with levels of FANC/BRCA genes in HNSCC. HNSCC cell lines with SMAD4 homozygous deletion were sensitive to olaparib. In vivo, olaparib or RT monotherapy reduced tumor volumes in SMAD4 mutant but not SMAD4 positive tumors. Olaparib with RT dual therapy sustained tumor volume reduction in SMAD4 deficient (mutant or knockdown) xenografts, which exhibited increased DNA damage and cell death compared to vehicle treated tumors. In vitro, olaparib alone or in combination with radiation caused lower clonogenic survival, more DNA damage-associated cell death and less proliferation in SMAD4 deficient cells than in SMAD4-positive (endogenous SMAD4 or transduced SMAD4) cells. Applicable to clinic, 5 out of 6 SMAD4-negative HNSCCs and 4 out of 8 SMAD4-positive HNSCCs responded to a standard treatment plus olaparib in a Phase I clinical trial, and SMAD4 protein levels inversely correlated with DNA damage. CONCLUSIONS SMAD4 levels are causal in determining sensitivity to PARP inhibition in combination with RT in HNSCCs. Copyright ©2020, American Association for Cancer Research.PURPOSE Between 30%-40% of patients with prostate cancer experience disease recurrence following radical prostatectomy. Existing clinical models for recurrence risk prediction do not account for population-based variation in the tumor phenotype, despite recent evidence suggesting the presence of a unique, more aggressive prostate cancer phenotype in African American (AA) patients. We investigated the capacity of digitally measured, population-specific phenotypes of the intratumoral stroma to create improved models for prediction of recurrence following radical prostatectomy. EXPERIMENTAL DESIGN This study included 334 radical prostatectomy patients subdivided into training (VT, n = 127), validation 1 (V1, n = 62), and validation 2 (V2, n = 145). Hematoxylin and eosin-stained slides from resected prostates were digitized, and 242 quantitative descriptors of the intratumoral stroma were calculated using a computational algorithm. Machine learning and elastic net Cox regression models were constructed using VT to predict biochemical recurrence-free survival based on these features.
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