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  • 1
    In: Nature Genetics, Springer Science and Business Media LLC, Vol. 51, No. 11 ( 2019-11), p. 1624-1636
    Type of Medium: Online Resource
    ISSN: 1061-4036 , 1546-1718
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
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  • 2
    In: OncoImmunology, Informa UK Limited, Vol. 10, No. 1 ( 2021-01-01)
    Type of Medium: Online Resource
    ISSN: 2162-402X
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2021
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  • 3
    In: Frontiers in Immunology, Frontiers Media SA, Vol. 12 ( 2021-10-14)
    Abstract: In order to better understand how the immune system interacts with environmental triggers to produce organ-specific disease, we here address the hypothesis that B and plasma cells are free to migrate through the mucosal surfaces of the upper and lower respiratory tracts, and that their total antibody repertoire is modified in a common respiratory tract disease, in this case atopic asthma. Using Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) we have catalogued the antibody repertoires of B cell clones retrieved near contemporaneously from multiple sites in the upper and lower respiratory tract mucosa of adult volunteers with atopic asthma and non-atopic controls and traced their migration. We show that the lower and upper respiratory tracts are immunologically connected, with trafficking of B cells directionally biased from the upper to the lower respiratory tract and points of selection when migrating from the nasal mucosa and into the bronchial mucosa. The repertoires are characterized by both IgD-only B cells and others undergoing class switch recombination, with restriction of the antibody repertoire distinct in asthmatics compared with controls. We conclude that B cells and plasma cells migrate freely throughout the respiratory tract and exhibit distinct antibody repertoires in health and disease.
    Type of Medium: Online Resource
    ISSN: 1664-3224
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
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  • 4
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2019
    In:  Cancer Research Vol. 79, No. 16 ( 2019-08-15), p. 4227-4241
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 16 ( 2019-08-15), p. 4227-4241
    Abstract: Approximately 20% of colorectal cancer patients with colorectal adenocarcinomas present with metastases at the time of diagnosis, and therapies that specially target these metastases are lacking. We present a novel approach for investigating transcriptomic differences between primary colorectal adenocarcinoma and distant metastases, which may help to identify primary tumors with high risk for future dissemination and to inform the development of metastasis-targeted therapies. To effectively compare the transcriptomes of primary colorectal adenocarcinoma and metastatic lesions at both the gene and pathway levels, we eliminated tissue specificity of the "host" organs where tumors are located and adjusted for confounders such as exposure to chemotherapy and radiation, and identified that metastases were characterized by reduced epithelial–mesenchymal transition (EMT) but increased MYC target and DNA-repair pathway activities. FBN2 and MMP3 were the most differentially expressed genes between primary tumors and metastases. The two subtypes of colorectal adenocarcinoma metastases that were identified, EMT inflammatory and proliferative, were distinct from the consensus molecular subtype (CMS) 3, suggesting subtype exclusivity. In summary, this study highlights transcriptomic differences between primary tumors and colorectal adenocarcinoma metastases and delineates pathways that are activated in metastases that could be targeted in colorectal adenocarcinoma patients with metastatic disease. Significance: These findings identify a colorectal adenocarcinoma metastasis-specific gene-expression signature that is free from potentially confounding background signals coming from treatment exposure and the normal host tissue that the metastasis is now situated within.
    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: 2019
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  • 5
    In: Brain Research, Elsevier BV, Vol. 1240 ( 2008-11), p. 1-11
    Type of Medium: Online Resource
    ISSN: 0006-8993
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2008
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    SSG: 12
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  • 6
    In: Psycho-Oncology, Wiley, Vol. 27, No. 7 ( 2018-07), p. 1757-1764
    Abstract: Smoking tobacco cigarettes after a cancer diagnosis increases risk for several serious adverse outcomes. Thus, patients can significantly benefit from quitting smoking. Electronic cigarettes are an increasingly popular cessation method. Providers routinely ask about combustible cigarette use, yet little is known about use and communication surrounding e‐cigarettes among patients with cancer. This study aims to describe patterns, beliefs, and communication with oncology providers about e‐cigarette use of patients with cancer. Methods Patients with cancer (N = 121) who currently used e‐cigarettes were surveyed in a cross‐sectional study about their patterns and reasons for use, beliefs, and perceptions of risk for e‐cigarettes, combustible cigarettes, and nicotine replacement therapies. Patient perspectives on provider communication regarding e‐cigarettes were also assessed. Results Most participants identified smoking cessation as the reason for initiating (81%) and continuing (60%) e‐cigarette use. However, 51% of patients reported current dual use of combustible cigarettes and e‐cigarettes, and most patients reported never having discussed their use of e‐cigarettes with their oncology provider (72%). Patients characterized e‐cigarettes as less addictive, less expensive, less stigmatizing, and less likely to impact cancer treatment than combustible cigarettes ( P s  〈  .05), and more satisfying, more useful for quitting smoking, and more effective at reducing cancer‐related stress than nicotine replacement therapies ( P s  〈  .05). Conclusions Patients with cancer who use e‐cigarettes have positive attitudes toward these devices and use them to aid in smoking cessation. This study also highlights the need for improved patient‐provider communication on the safety and efficacy of e‐cigarettes for smoking cessation.
    Type of Medium: Online Resource
    ISSN: 1057-9249 , 1099-1611
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
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    SSG: 5,2
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 4746-4746
    Abstract: Mounting evidence suggests that a prominent T cell response in the colorectal cancer (CRC) tumor microenvironment is a valuable prognostic indicator, independent of stage at diagnosis. However, the strength and quality of host immune responses are highly variable across patients, and the factors that influence this variability are not well understood. The unique microbial communities present in the CRC tumor microenvironment may contribute to the modulation of local host immune responses, but prior investigations have been limited and focused on candidate microbes. Here, we investigated the association between the CRC tumor bacterial microbiome and the quantity and clonality of the T cell infiltrate. This investigation included 51 CRC from the Molecular Epidemiology of Colorectal Cancer (MECC) study, a population-based case-control study in northern Israel. Genomic DNA was extracted from fresh frozen tumors using microbiome-optimized techniques and sequenced using a PCR amplicon-mediated workflow on the Illumina MiSeq. Sequences from the V1-V3 hypervariable regions of the bacterial 16S rRNA gene region were clustered into operational taxonomic units (OTUs), a proxy for species, and taxonomic identification was determined using the Ribosomal Database Project. In addition, T cell repertoires were measured using the DNA-based immunoSEQ assay (Adaptive Biotechnologies), and T cell fraction (i.e. proportion of rearranged T cells relative to all nucleated cells) and clonality (i.e. T cell receptor diversity) were calculated. Bacterial sequencing was successful in 48 (94%) of samples, with a total of 868 OTUs identified. Klebsiella and Escherichia/Shigella were the most prevalent genera, detected in approximately 90% of tumors, followed by Propionibacterium, Pelomonas, and Veillonella, with each detected in approximately 50% of tumors. Fusobacterium, a genus of oral anaerobic bacteria believed to accelerate tumor progression and enable immune evasion in CRC, was detected in 20% of tumors. When present, Bacteroides and Fusobacterium were the most abundant, comprising 10-15% of all bacteria within each tumor, on average. ImmunoSEQ analysis identified a mean productive T cell fraction of 0.08 (SD: 0.16) and a mean productive clonality of 0.14 (SD: 0.06). Analysis of molecular variance (AMOVA) of the Theta YC measure of dissimilarity showed a statistically significant difference in bacterial community structure (i.e. composition and relative abundance) between samples in the highest versus lower three quartiles of T cell fraction (P=0.03) and clonality (P=0.01). These preliminary findings suggest a potential relationship between microbial community structure and the quantity and diversity of the CRC T cell infiltrate. Additional analyses are underway to better understand this association as well as the independent contributions of the microbiome to CRC prognosis. Citation Format: Christine M. Pierce, Bo-young Hong, Hannah J. Hoehn, Maria F. Gomez, Marilena Melas, Kevin McDonnell, Youngchul Kim, Erica Sodergren, George Weinstock, Hedy S. Rennert, Thomas Giordano, Joel Greenson, Gad Rennert, Stephen B. Gruber, Stephanie L. Schmit. Microbes in the tumor microenvironment: Bacterial influences on host immunity in colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4746.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 1192-1192
    Abstract: Subgroups of Hispanics/Latinos (HL) experience up to 30% higher colorectal cancer (CRC) mortality than non-Hispanic Whites. This disparity is not fully explained by socio-demographics or access to care, suggesting that biology plays a role. However, biological factors have been underexplored, in part due to a lack of diversity in available datasets. To address this limitation, we established the Latino Colorectal Cancer Consortium (LC3) and examined the association between genetic ancestry and somatic mutation frequencies in HL and in non-HL from Total Cancer Care (Moffitt Cancer Center). We hypothesized that ancestral haplotypes that vary across racial/ethnic populations contribute to differential somatic mutational profiles. We identified 321 primary CRC cases (34% HL (majority of Mexican and Puerto Rican origin), 63% non-HL, 3% unknown) and whole exome sequencing data. Somatic mutations were called from tumor/normal pairs using a bioinformatic pipeline including Burrows-Wheeler Aligner, the Genome Analysis Toolkit (GATK), MuTect, and Strelka. High quality mutation calls were filtered to exclude variants at ≥1% in 1000 Genomes. Inherited variants for ancestry analysis were called using GATK. Global proportions of African (AFR), Asian (ASN), European (EUR), and Indigenous American (IA) ancestry were estimated using ADMIXTURE with exome-wide SNPs overlapping 1000 Genomes. The associations between genetic ancestry and somatic mutation status in 38 genes commonly over-mutated in CRC were examined using compositional analysis in the context of logistic regression. Among HL, ancestry proportions were: AFR (mean: 0.15; range: 2 × 10−03-0.63), ASN (0.07; 0.02-0.92), EUR (0.56, 0.08-0.85) and IA (0.22, 3 × 10−03-0.64). Among non-HL, they were: AFR (0.03; 1 × 10−05-0.83), ASN (0.10; 0.01-0.70), EUR (0.85, 0.13-0.93) and IA (0.02, 2 × 10−03-0.65). Genetic ancestry was associated with the presence of any mutation in MSH3 (P=0.014), ACVR1B (P=0.016) or BRAF (P=0.016); or specifically, with the presence of any truncating mutation in TGFBR2 (P=0.018) or ACVR1B (P=0.024). Relative to EUR ancestry, individuals with higher IA ancestry had a lower probability of any BRAF mutation (OR (95% CI)=0.72 (0.55-0.94); P=0.015) and a higher probability of an APC truncating mutation (1.17 (1.00-1.36); P=0.053). In contrast, higher AFR ancestry (relative to EUR) was associated with increased odds of ACVR1B (OR (95% CI)=1.27 (1.02-1.58); P=0.033) or NRAS mutations (1.22 (1.00-1.47); P=0.047) and decreased odds of an FBXW7 mutation (0.87 (0.77-0.98); P=0.023). Our findings from the largest study of CRC somatic landscapes in HL provide early evidence of mutation frequency differences in driver genes associated with genetic ancestry. Our ongoing efforts to expand LC3 will inform the development of ancestry-tailored treatment strategies to benefit diverse populations. Citation Format: Marco Matejcic, Jamie K. Teer, Hannah J. Hoehn, Zhihua Chen, Diana B. Diaz, Nathalie Nguyen, Douglas Cress, Estrella Carballido, Jason Fleming, Domenico Coppola, Mariana C. Stern, Brooke L. Fridley, Jane C. Figueiredo, Stephanie L. Schmit. Genetic ancestry and somatic mutational frequencies in colorectal cancer: Findings from the Latino Colorectal Cancer Consortium [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1192.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 9
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2018
    In:  Cancer Research Vol. 78, No. 13_Supplement ( 2018-07-01), p. 4217-4217
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 4217-4217
    Abstract: Colorectal cancer remains the 2nd leading cause of cancer deaths in the United States. This suggests that traditional prognostic factors are not optimally refined for predicting survival outcomes and guiding therapeutic decisions for some patients. Mounting evidence supports that quantifying the strength and diversity of host immune responses in the tumor microenvironment may improve prognostication and clinical decision-making; however, standard pathological assessment of T cell infiltration is time-consuming and difficult to standardize for clinical utility. The goal of this study was to develop a molecular classifier associated with CRC prognosis based on the expression of 770 immune-related genes measured on the Nanostring (NS) nCounter PanCancer Immune Profiling Panel. This panel includes markers of immune cell types, common cancer antigens, and diverse categories of immune responses (e.g. T cell function, cytokines). We also aimed to assess the validity of combining gene expression data derived from different tissue types (FFPE, fresh frozen) and mRNA profiling platforms (NS, Rosetta/Merck human RSTA Custom Affymetrix 2.0 microarray). FFPE (N=24) and fresh frozen tumor tissues (N=28) from 50 primary stage II colon cancers from the Moffitt Cancer Center Total Cancer Care cohort were profiled using the NS platform, and microarray data were generated on frozen tissues from all patients. Geometric mean-normalized NS data of FFPE and frozen tumor tissues were merged by the ComBat algorithm that adjusted for different RNA source types. 634 (87%) genes in the NS dataset had expression values that positively correlated with those of the microarray data. A 2-way hierarchical cluster analysis of these genes in NS data revealed two clusters of patients with non-overlapping overall survival (OS) curves, but no statistically significant difference due mainly to a lack of events (Log-rank P=0.12; 5-year OS probability=91.3% vs 74.1% for cluster 1 (N=23) and cluster 2 (N=27)). To examine cross-platform predictability of the 2 clusters, a 5-gene classifier was trained on NS data using penalized logistic regression. Applying this classifier to microarray data on the same patient set (N=49) significantly discriminated the clusters (AUC=0.8, P & lt;0.01). Functional annotation of the 5 genes (CD27, CD37, ITGAL, KLRG1 and LAG3) revealed enrichment for T cell receptor signaling, hematopoietic cell lineage, and natural killer cell mediated cytotoxicity (FDR P & lt;0.001). This pilot study provides early evidence that an immune gene expression panel may capture the prognostic value of intratumoral host immune responses. It also supports the feasibility of combining different RNA sources and expression platforms. Expanded future studies that pool across sample types and publicly-available expression datasets are needed to validate the 9-gene classifier from this study and examine its broader prognostic impact. Citation Format: Youngchul Kim, Hannah J. Hoehn, Yunyun Chen, Mollie E. Barnard, Amanda Bloomer, Sean Yoder, Domenico Coppola, Stephanie L. Schmit. Prognostic gene expression signatures of immune responses in the colon cancer microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4217.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 10
    In: Contemporary Clinical Trials, Elsevier BV, Vol. 50 ( 2016-09), p. 84-89
    Type of Medium: Online Resource
    ISSN: 1551-7144
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 2176813-4
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