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  • 1
    Online Resource
    Online Resource
    Abstract 1123: PTEN loss increases efficiency of breast tumor metastasis
    American Association for Cancer Research (AACR) ; 2010
    In:  Cancer Research Vol. 70, No. 8_Supplement ( 2010-04-15), p. 1123-1123
    Details
    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
    URL: Article
    DOI: 10.1158/1538-7445.AM10-1123
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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  • 2
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    Online Resource
    Abstract 3930: Analysis of longitudinal relaxation time mapping for monitoring vascular permeability in brain tumors.
    American Association for Cancer Research (AACR) ; 2013
    In:  Cancer Research Vol. 73, No. 8_Supplement ( 2013-04-15), p. 3930-3930
    Details
    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
    URL: Article
    DOI: 10.1158/1538-7445.AM2013-3930
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 3
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    Online Resource
    Allosteric Inhibition of ABL Kinases: Therapeutic Potential in Cancer
    American Association for Cancer Research (AACR) ; 2020
    In:  Molecular Cancer Therapeutics Vol. 19, No. 9 ( 2020-09-01), p. 1763-1769
    Details
    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
    URL: Article
    DOI: 10.1158/1535-7163.MCT-20-0069
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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    SSG: 12
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  • 4
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    Online Resource
    Integrative Molecular Characterization of Malignant Pleural Mesothelioma
    American Association for Cancer Research (AACR) ; 2018
    In:  Cancer Discovery Vol. 8, No. 12 ( 2018-12-01), p. 1548-1565
    Details
    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
    URL: Article
    DOI: 10.1158/2159-8290.CD-18-0804
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 5
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    Online Resource
    Mendelian Randomization Analysis of n-6 Polyunsaturated Fatty Acid Levels and Pancreatic Cancer Risk
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 29, No. 12 ( 2020-12-01), p. 2735-2739
    Details
    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
    URL: Article
    DOI: 10.1158/1055-9965.EPI-20-0651
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 6
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    Smoking Modifies Pancreatic Cancer Risk Loci on 2q21.3
    American Association for Cancer Research (AACR) ; 2021
    In:  Cancer Research Vol. 81, No. 11 ( 2021-06-01), p. 3134-3143
    Details
    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
    URL: Article
    DOI: 10.1158/0008-5472.CAN-20-3267
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 7
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    Online Resource
    Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 29, No. 9 ( 2020-09-01), p. 1784-1791
    Details
    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
    URL: Article
    DOI: 10.1158/1055-9965.EPI-20-0275
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 8
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    Selenium- or Vitamin E–Related Gene Variants, Interaction with Supplementation, and Risk of High-Grade Prostate Cancer in SELECT
    American Association for Cancer Research (AACR) ; 2016
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 25, No. 7 ( 2016-07-01), p. 1050-1058
    Details
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 25, No. 7 ( 2016-07-01), p. 1050-1058
    Abstract: Background: Epidemiologic studies and secondary analyses of randomized trials supported the hypothesis that selenium and vitamin E lower prostate cancer risk. However, the Selenium and Vitamin E Cancer Prevention Trial (SELECT) showed no benefit of either supplement. Genetic variants involved in selenium or vitamin E metabolism or transport may underlie the complex associations of selenium and vitamin E. Methods: We undertook a case–cohort study of SELECT participants randomized to placebo, selenium, or vitamin E. The subcohort included 1,434 men; our primary outcome was high-grade prostate cancer (N = 278 cases, Gleason 7 or higher cancer). We used weighted Cox regression to examine the association between SNPs and high-grade prostate cancer risk. To assess effect modification, we created interaction terms between randomization arm and genotype and calculated log likelihood statistics. Results: We noted statistically significant (P & lt; 0.05) interactions between selenium assignment, SNPs in CAT, SOD2, PRDX6, SOD3, and TXNRD2, and high-grade prostate cancer risk. Statistically significant SNPs that modified the association of vitamin E assignment and high-grade prostate cancer included SEC14L2, SOD1, and TTPA. In the placebo arm, several SNPs, hypothesized to interact with supplement assignment and risk of high-grade prostate cancer, were also directly associated with outcome. Conclusion: Variants in selenium and vitamin E metabolism/transport genes may influence risk of overall and high-grade prostate cancer, and may modify an individual man's response to vitamin E or selenium supplementation with regards to these risks. Impact: The effect of selenium or vitamin E supplementation on high-grade prostate cancer risk may vary by genotype. Cancer Epidemiol Biomarkers Prev; 25(7); 1050–8. ©2016 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    URL: Article
    DOI: 10.1158/1055-9965.EPI-16-0104
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 9
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    A Prospective Study of Chronic Inflammation in Benign Prostate Tissue and Risk of Prostate Cancer: Linked PCPT and SELECT Cohorts
    American Association for Cancer Research (AACR) ; 2017
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 26, No. 10 ( 2017-10-01), p. 1549-1557
    Details
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 26, No. 10 ( 2017-10-01), p. 1549-1557
    Abstract: Background: We leveraged two trials to test the hypothesis of an inflammation–prostate cancer link prospectively in men without indication for biopsy. Methods: Prostate Cancer Prevention Trial (PCPT) participants who had an end-of-study biopsy performed per protocol that was negative for cancer and who subsequently enrolled in the Selenium and Vitamin E Cancer Prevention Trial (SELECT) were eligible. We selected all 100 cases and sampled 200 frequency-matched controls and used PCPT end-of-study biopsies as “baseline.” Five men with PSA & gt; 4 ng/mL at end-of-study biopsy were excluded. Tissue was located for 92 cases and 193 controls. We visually assessed inflammation in benign tissue. We estimated ORs and 95% confidence intervals (CI) using logistic regression adjusting for age and race. Results: Mean time between biopsy and diagnosis was 5.9 years. In men previously in the PCPT placebo arm, 78.1% of cases (N = 41) and 68.2% of controls (N = 85) had at least one baseline biopsy core (∼5 evaluated per man) with inflammation. The odds of prostate cancer (N = 41 cases) appeared to increase with increasing mean percentage of tissue area with inflammation, a trend that was statistically significant for Gleason sum & lt;4+3 disease (N = 31 cases; vs. 0%, & gt;0– & lt;1.8% OR = 1.70, 1.8– & lt;5.0% OR = 2.39, ≥5% OR = 3.31, Ptrend = 0.047). In men previously in the finasteride arm, prevalence of inflammation did not differ between cases (76.5%; N = 51) and controls (75.0%; N = 108). Conclusions: Benign tissue inflammation was positively associated with prostate cancer. Impact: This first prospective study of men without biopsy indication supports the hypothesis that inflammation influences prostate cancer development. Cancer Epidemiol Biomarkers Prev; 26(10); 1549–57. ©2017 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    URL: Article
    DOI: 10.1158/1055-9965.EPI-17-0503
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 10
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    Genome-Wide Association Study Data Reveal Genetic Susceptibility to Chronic Inflammatory Intestinal Diseases and Pancreatic Ductal Adenocarcinoma Risk
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Research Vol. 80, No. 18 ( 2020-09-15), p. 4004-4013
    Details
    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
    URL: Article
    DOI: 10.1158/0008-5472.CAN-20-0447
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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    detail.hit.zdb_id: 410466-3
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