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  • American Association for Cancer Research (AACR)  (30)
  • English  (30)
  • 1
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2010
    In:  Cancer Research Vol. 70, No. 8_Supplement ( 2010-04-15), p. 1123-1123
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 70, No. 8_Supplement ( 2010-04-15), p. 1123-1123
    Abstract: Breast cancer is the most frequent malignancy in women, and although many breast cancers are curable via surgery, approximately one quarter maintain a latent and insidious characteristic of slow growth with early metastasis. The loss of the tumor suppressor PTEN has been associated with breast cancer stage, lymph node status, and disease-related death, and the high rate of loss in primary tumors suggests a potential role in initiation and/or progression of the disease. However, specific cellular alterations in human breast epithelium controlled by PTEN inactivation, which lead to an increased metastatic phenotype, remain poorly defined. We have determined that heterozygous and homozygous loss of PTEN in non-tumorigenic mammary epithelial cells (MECs) was insufficient to promote anchorage-independent growth. However, MECs with PTEN loss maintained elevated activation of the PI3K/Akt and MAPK pathways and apoptotic resistance to cell rounding and matrix detatchment. We have also recently determined that PTEN expression loss leads to the production of long, dynamic, tubulin-based membrane protrusions upon detachment, which are increased in frequency, number and length per cell as compared to their isogenic, PTEN-expressing parental counterparts. These novel structures, termed microtentacles (McTNs), are structurally distinct from classical actin-based extensions of adherent cells, persist for days in breast tumor lines that are resistant to anoikis, and aid in the reattachment to matrix or cell monolayers. Therefore, the combination of apoptotic resistance and enhanced McTN formation due to PTEN loss may have important consequences for facilitating tumor cell extravasation and efficient adherence in metastatic sites. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1123.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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  • 2
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2013
    In:  Cancer Research Vol. 73, No. 8_Supplement ( 2013-04-15), p. 3930-3930
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 3930-3930
    Abstract: Introduction: Vessel permeability measurement in tumors, as assessed by Ktrans exchange coefficient, may have diagnostic value for determining treatment effectiveness and are an emerging parameter for drug transport modeling. Transvascular exchange models have been the standard for deriving Ktrans in an imaging voxel based on the pharmacokinetic analysis of the longitudinal relaxation time (T1) measurements following systemic delivery of T1-shortening contrast reagent (CR) in tissue using dynamic contrast-enhanced (DCE)-MRI. Analysis requires a pre-contrast longitudinal relaxation time (T10) as a model input. This study investigates the effect of using T10 maps versus an average value for analyzing changes in Ktrans measurements in intracerebral lung carcinoma, glioma, and melanoma xenograft models before and after treatment with agents targeting tumor edema. Materials and Methods: Rats were inoculated in the right basal ganglia with LX-1 human lung carcinoma (n = 10), UW28 human glioma (n = 11), or A2058 human melanoma cells (n = 15). After baseline MRI scans, animals received glyburide (∼24 μg/kg oral), dexamethasone (∼1.8 mg/kg IV) or vehicle control. MRI study was performed using a horizontal bore 11.75 T magnet system. T10 in tumor tissue was measured using a spin-echo inversion recovery sequence. DCE-MRI was done with a fast-gradient-echo sequence. Ktrans was calculated by non-linear squared fitting to the T1 measurements; animal-specific arterial input functions were used. A Student's two-tailed, paired t-test was used to test statistical significance of change in Ktrans between using T10 maps versus ROI-based T10 value. Results and Discussion: On pre-treatment MRI, 50% of lung and melanoma metastases showed standard deviation ≥10% the average T10 value. For UW28 tumors, standard deviation was & lt;10% of the average T10 for all animals. LX-1 metastases became more heterogeneous based on σ increase. Ktrans was assessed using an ROI-based average T10 value and T10 maps before and after treatment. T10 mapping reduced average Ktrans in over 88% of cases (including pre- and post- treatment). Change in Ktrans from T10 mapping did not change with treatment (p ≥ 0.07) and change in Ktrans resulting from treatment was not significantly affected by T10 mapping (p ≥ 0.09) the treatment groups. There was a trend towards significance observed with larger animal numbers. Conclusions: LX-1 and A2058 metastases were more heterogeneous than the UW28 model based on standard deviation of T10 values within tumor. Using an ROI-based average T10 value was likely to overpredict average Ktrans values, but not likely to significantly affect treatment outcomes of study for these tumors and therapies despite tumor heterogeneity. Overpredicted Ktrans hot spots could have more consequences on hot spot analysis to monitor treatment outcome rather than average Ktrans. Citation Format: Gregory L. Pishko, Eric M. Thompson, Edward A. Neuwelt. Analysis of longitudinal relaxation time mapping for monitoring vascular permeability in brain tumors. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3930. doi:10.1158/1538-7445.AM2013-3930
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 3
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2020
    In:  Molecular Cancer Therapeutics Vol. 19, No. 9 ( 2020-09-01), p. 1763-1769
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 19, No. 9 ( 2020-09-01), p. 1763-1769
    Abstract: Tyrosine kinase inhibitors have revolutionized the world of cancer treatment in recent years, profoundly improving survival of patients with chronic myeloid leukemia (CML) and beyond. However, off-target toxicities of these inhibitors are well-described, and resistance has become a paramount concern. Novel allosteric inhibitors of the Abelson (ABL) family of tyrosine kinases, including GNF-2, GNF-5, and ABL-001, are equipped to overcome these issues. Several contemporary studies have demonstrated their potential efficacy in three key areas: primary hematologic and solid malignancies, metastasis, and combination with other small molecules. Further, ongoing clinical trials are investigating the efficacy of ABL-001 for the treatment of CML and recurrent solid tumors. This work reviews the current literature of the preclinical testing of GNF-2 and GNF-5 and the preclinical and clinical testing of ABL-001. Future research will continue to evaluate these promising inhibitors as both first-line therapy for solid tumors and salvage therapy when more traditional drugs such as imatinib fail.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 4
    In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 8, No. 12 ( 2018-12-01), p. 1548-1565
    Abstract: Malignant pleural mesothelioma (MPM) is a highly lethal cancer of the lining of the chest cavity. To expand our understanding of MPM, we conducted a comprehensive integrated genomic study, including the most detailed analysis of BAP1 alterations to date. We identified histology-independent molecular prognostic subsets, and defined a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity. We also report strong expression of the immune-checkpoint gene VISTA in epithelioid MPM, strikingly higher than in other solid cancers, with implications for the immune response to MPM and for its immunotherapy. Our findings highlight new avenues for further investigation of MPM biology and novel therapeutic options. Significance: Through a comprehensive integrated genomic study of 74 MPMs, we provide a deeper understanding of histology-independent determinants of aggressive behavior, define a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity, and discovered strong expression of the immune-checkpoint gene VISTA in epithelioid MPM. See related commentary by Aggarwal and Albelda, p. 1508. This article is highlighted in the In This Issue feature, p. 1494
    Type of Medium: Online Resource
    ISSN: 2159-8274 , 2159-8290
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 5
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 29, No. 12 ( 2020-12-01), p. 2735-2739
    Abstract: Whether circulating polyunsaturated fatty acid (PUFA) levels are associated with pancreatic cancer risk is uncertain. Mendelian randomization (MR) represents a study design using genetic instruments to better characterize the relationship between exposure and outcome. Methods: We utilized data from genome-wide association studies within the Pancreatic Cancer Cohort Consortium and Pancreatic Cancer Case–Control Consortium, involving approximately 9,269 cases and 12,530 controls of European descent, to evaluate associations between pancreatic cancer risk and genetically predicted plasma n-6 PUFA levels. Conventional MR analyses were performed using individual-level and summary-level data. Results: Using genetic instruments, we did not find evidence of associations between genetically predicted plasma n-6 PUFA levels and pancreatic cancer risk [estimates per one SD increase in each PUFA-specific weighted genetic score using summary statistics: linoleic acid odds ratio (OR) = 1.00, 95% confidence interval (CI) = 0.98–1.02; arachidonic acid OR = 1.00, 95% CI = 0.99–1.01; and dihomo-gamma-linolenic acid OR = 0.95, 95% CI = 0.87–1.02]. The OR estimates remained virtually unchanged after adjustment for covariates, using individual-level data or summary statistics, or stratification by age and sex. Conclusions: Our results suggest that variations of genetically determined plasma n-6 PUFA levels are not associated with pancreatic cancer risk. Impact: These results suggest that modifying n-6 PUFA levels through food sources or supplementation may not influence risk of pancreatic cancer.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 11 ( 2021-06-01), p. 3134-3143
    Abstract: Germline variation and smoking are independently associated with pancreatic ductal adenocarcinoma (PDAC). We conducted genome-wide smoking interaction analysis of PDAC using genotype data from four previous genome-wide association studies in individuals of European ancestry (7,937 cases and 11,774 controls). Examination of expression quantitative trait loci data from the Genotype-Tissue Expression Project followed by colocalization analysis was conducted to determine whether there was support for common SNP(s) underlying the observed associations. Statistical tests were two sided and P & lt; 5 × 10–8 was considered statistically significant. Genome-wide significant evidence of qualitative interaction was identified on chr2q21.3 in intron 5 of the transmembrane protein 163 (TMEM163) and upstream of the cyclin T2 (CCNT2). The most significant SNP using the Empirical Bayes method, in this region that included 45 significantly associated SNPs, was rs1818613 [per allele OR in never smokers 0.87, 95% confidence interval (CI), 0.82–0.93; former smokers 1.00, 95% CI, 0.91–1.07; current smokers 1.25, 95% CI 1.12–1.40, Pinteraction = 3.08 × 10–9). Examination of the Genotype-Tissue Expression Project data demonstrated an expression quantitative trait locus in this region for TMEM163 and CCNT2 in several tissue types. Colocalization analysis supported a shared SNP, rs842357, in high linkage disequilibrium with rs1818613 (r2 = 0. 94) driving both the observed interaction and the expression quantitative trait loci signals. Future studies are needed to confirm and understand the differential biologic mechanisms by smoking status that contribute to our PDAC findings. Significance: This large genome-wide interaction study identifies a susceptibility locus on 2q21.3 that significantly modified PDAC risk by smoking status, providing insight into smoking-associated PDAC, with implications for prevention.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 7
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 29, No. 9 ( 2020-09-01), p. 1784-1791
    Abstract: Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level. Methods: We conducted a gene–environment interaction (GxE) analysis including 8,255 cases and 11,900 controls from four pancreatic cancer genome-wide association study (GWAS) datasets (Pancreatic Cancer Cohort Consortium I–III and Pancreatic Cancer Case Control Consortium). Obesity (body mass index ≥30 kg/m2) and diabetes (duration ≥3 years) were the environmental variables of interest. Approximately 870,000 SNPs (minor allele frequency ≥0.005, genotyped in at least one dataset) were analyzed. Case–control (CC), case-only (CO), and joint-effect test methods were used for SNP-level GxE analysis. As a complementary approach, gene-based GxE analysis was also performed. Age, sex, study site, and principal components accounting for population substructure were included as covariates. Meta-analysis was applied to combine individual GWAS summary statistics. Results: No genome-wide significant interactions (departures from a log-additive odds model) with diabetes or obesity were detected at the SNP level by the CC or CO approaches. The joint-effect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for the GWAS top hits. In the gene-based analysis, a significant interaction of diabetes with variants in the FAM63A (family with sequence similarity 63 member A) gene (significance threshold P & lt; 1.25 × 10−6) was observed in the meta-analysis (PGxE = 1.2 ×10−6, PJoint = 4.2 ×10−7). Conclusions: This analysis did not find significant GxE interactions at the SNP level but found one significant interaction with diabetes at the gene level. A larger sample size might unveil additional genetic factors via GxE scans. Impact: This study may contribute to discovering the mechanism of diabetes-associated pancreatic cancer.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 18 ( 2020-09-15), p. 4004-4013
    Abstract: Registry-based epidemiologic studies suggest associations between chronic inflammatory intestinal diseases and pancreatic ductal adenocarcinoma (PDAC). As genetic susceptibility contributes to a large proportion of chronic inflammatory intestinal diseases, we hypothesize that the genomic regions surrounding established genome-wide associated variants for these chronic inflammatory diseases are associated with PDAC. We examined the association between PDAC and genomic regions (±500 kb) surrounding established common susceptibility variants for ulcerative colitis, Crohn's disease, inflammatory bowel disease, celiac disease, chronic pancreatitis, and primary sclerosing cholangitis. We analyzed summary statistics from genome-wide association studies data for 8,384 cases and 11,955 controls of European descent from two large consortium studies using the summary data-based adaptive rank truncated product method to examine the overall association of combined genomic regions for each inflammatory disease group. Combined genomic susceptibility regions for ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis were associated with PDAC at P values & lt; 0.05 (0.0040, 0.0057, 0.011, and 3.4 × 10−6, respectively). After excluding the 20 PDAC susceptibility regions (±500 kb) previously identified by GWAS, the genomic regions for ulcerative colitis, Crohn disease, and inflammatory bowel disease remained associated with PDAC (P = 0.0029, 0.0057, and 0.0098, respectively). Genomic regions for celiac disease (P = 0.22) and primary sclerosing cholangitis (P = 0.078) were not associated with PDAC. Our results support the hypothesis that genomic regions surrounding variants associated with inflammatory intestinal diseases, particularly, ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis are associated with PDAC. Significance: The joint effects of common variants in genomic regions containing susceptibility loci for inflammatory bowel disease and chronic pancreatitis are associated with PDAC and may provide insights to understanding pancreatic cancer etiology.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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    detail.hit.zdb_id: 1432-1
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  • 9
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 32, No. 9 ( 2023-09-01), p. 1265-1269
    Abstract: There are conflicting data on whether nonalcoholic fatty liver disease (NAFLD) is associated with susceptibility to pancreatic cancer. Using Mendelian randomization (MR), we investigated the relationship between genetic predisposition to NAFLD and risk for pancreatic cancer. Methods: Data from genome-wide association studies (GWAS) within the Pancreatic Cancer Cohort Consortium (PanScan; cases n = 5,090, controls n = 8,733) and the Pancreatic Cancer Case Control Consortium (PanC4; cases n = 4,163, controls n = 3,792) were analyzed. We used data on 68 genetic variants with four different MR methods [inverse variance weighting (IVW), MR-Egger, simple median, and penalized weighted median] separately to predict genetic heritability of NAFLD. We then assessed the relationship between each of the four MR methods and pancreatic cancer risk, using logistic regression to calculate ORs and 95% confidence intervals (CI), adjusting for PC risk factors, including obesity and diabetes. Results: No association was found between genetically predicted NAFLD and pancreatic cancer risk in the PanScan or PanC4 samples [e.g., PanScan, IVW OR, 1.04; 95% confidence interval (CI), 0.88–1.22; MR-Egger OR, 0.89; 95% CI, 0.65–1.21; PanC4, IVW OR, 1.07; 95% CI, 0.90–1.27; MR-Egger OR, 0.93; 95% CI, 0.67–1.28]. None of the four MR methods indicated an association between genetically predicted NAFLD and pancreatic cancer risk in either sample. Conclusions: Genetic predisposition to NAFLD is not associated with pancreatic cancer risk. Impact: Given the close relationship between NAFLD and metabolic conditions, it is plausible that any association between NAFLD and pancreatic cancer might reflect host metabolic perturbations (e.g., obesity, diabetes, or metabolic syndrome) and does not necessarily reflect a causal relationship between NAFLD and pancreatic cancer.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 10
    In: Blood Cancer Discovery, American Association for Cancer Research (AACR), Vol. 3, No. 3 ( 2022-05-05), p. 181-193
    Abstract: Patients with B-lymphoid malignancies have been consistently identified as a population at high risk of severe COVID-19. Whether this is exclusively due to cancer-related deficits in humoral and cellular immunity, or whether risk of severe COVID-19 is increased by anticancer therapy, is uncertain. Using data derived from the COVID-19 and Cancer Consortium (CCC19), we show that patients treated for B-lymphoid malignancies have an increased risk of severe COVID-19 compared with control populations of patients with non–B-lymphoid malignancies. Among patients with B-lymphoid malignancies, those who received anticancer therapy within 12 months of COVID-19 diagnosis experienced increased COVID-19 severity compared with patients with non–recently treated B-lymphoid malignancies, after adjustment for cancer status and several other prognostic factors. Our findings suggest that patients recently treated for a B-lymphoid malignancy are at uniquely high risk for severe COVID-19. Significance: Our study suggests that recent therapy for a B-lymphoid malignancy is an independent risk factor for COVID-19 severity. These findings provide rationale to develop mitigation strategies targeted at the uniquely high-risk population of patients with recently treated B-lymphoid malignancies. This article is highlighted in the In This Issue feature, p. 171
    Type of Medium: Online Resource
    ISSN: 2643-3230 , 2643-3249
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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