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Results: 1 to 10 of 292

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Surveillance of Gastric Intestinal Metaplasia.
Shah SC, Gawron AJ, Li D
(2020) Am J Gastroenterol 115: 641-644
MeSH Terms: Cause of Death, Gastric Mucosa, Global Health, Humans, Morbidity, Patient Selection, Population Surveillance, Precancerous Conditions, Risk Assessment, Stomach Neoplasms, Survival Rate
Added March 3, 2020
0 Communities
1 Members
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11 MeSH Terms
Development of a novel murine model of lymphatic metastasis.
Banan B, Beckstead JA, Dunavant LE, Sohn Y, Adcock JM, Nomura S, Abumrad N, Goldenring JR, Fingleton B
(2020) Clin Exp Metastasis 37: 247-255
MeSH Terms: Animals, Cell Line, Tumor, Colonic Neoplasms, Disease Models, Animal, Female, Green Fluorescent Proteins, Humans, Luciferases, Luminescent Measurements, Lymph Nodes, Lymphatic Metastasis, Lymphatic Vessels, Male, Mesentery, Mice, Mice, Inbred C57BL, Stomach Neoplasms, Tomography, Optical, Tumor Burden
Show Abstract · Added March 24, 2020
Current laboratory models of lymphatic metastasis generally require either genetically modified animals or are technically challenging. Herein, we have developed a robust protocol for the induction of intralymphatic metastasis in wild-type mice with reproducible outcomes. To determine an optimal injection quantity and timeline for tumorigenesis, C57Bl/6 mice were injected directly into the mesenteric lymph duct (MLD) with varying numbers of syngeneic murine colon cancer cells (MC38) or gastric cancer cells (YTN16) expressing GFP/luciferase and monitored over 2-4 weeks. Tumor growth was tracked via whole-animal in vivo bioluminescence imaging (IVIS). Our data indicate that the injection of tumor cells into the MLD is a viable model for lymphatic metastasis as necropsies revealed large tumor burdens and metastasis in regional lymph nodes. This protocol enables a closer study of the role of lymphatics in cancer metastasis and opens a window for the development of novel approaches for treatment of metastatic diseases.
0 Communities
1 Members
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19 MeSH Terms
Spotlight: Gastric Intestinal Metaplasia.
Shah SC, Gupta S, Li D, Morgan D, Mustafa RA, Gawron AJ
(2020) Gastroenterology 158: 704
MeSH Terms: Algorithms, Biopsy, Endoscopy, Gastrointestinal, Gastric Mucosa, Helicobacter Infections, Helicobacter pylori, Humans, Metaplasia, Population Surveillance, Practice Guidelines as Topic, Precancerous Conditions, Risk Factors, Stomach Neoplasms
Added March 3, 2020
0 Communities
1 Members
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13 MeSH Terms
Histologic Subtyping of Gastric Intestinal Metaplasia: Overview and Considerations for Clinical Practice.
Shah SC, Gawron AJ, Mustafa RA, Piazuelo MB
(2020) Gastroenterology 158: 745-750
MeSH Terms: Biopsy, Endoscopy, Gastrointestinal, Gastric Mucosa, Health Knowledge, Attitudes, Practice, Humans, Metaplasia, Population Surveillance, Precancerous Conditions, Stomach Neoplasms
Added March 3, 2020
0 Communities
1 Members
0 Resources
9 MeSH Terms
Advancing the Science in Gastric Pre-Neoplasia: Study Design Considerations.
Davitkov P, Altayar O, Shah SC, Gawron AJ, Mustafa RA, Sultan S, Morgan DR
(2020) Gastroenterology 158: 751-759
MeSH Terms: Biomedical Research, Biopsy, Endoscopy, Gastrointestinal, Gastric Mucosa, Humans, Incidence, Metaplasia, Population Surveillance, Precancerous Conditions, Prevalence, Research Design, Risk Factors, Stomach Neoplasms
Added March 3, 2020
0 Communities
1 Members
0 Resources
13 MeSH Terms
AGA Technical Review on Gastric Intestinal Metaplasia-Epidemiology and Risk Factors.
Altayar O, Davitkov P, Shah SC, Gawron AJ, Morgan DR, Turner K, Mustafa RA
(2020) Gastroenterology 158: 732-744.e16
MeSH Terms: Ethnic Groups, European Continental Ancestry Group, Gastric Mucosa, Helicobacter Infections, Helicobacter pylori, Humans, Metaplasia, Precancerous Conditions, Risk Factors, Stomach Neoplasms, United States
Added March 3, 2020
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1 Members
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11 MeSH Terms
AGA Technical Review on Gastric Intestinal Metaplasia-Natural History and Clinical Outcomes.
Gawron AJ, Shah SC, Altayar O, Davitkov P, Morgan D, Turner K, Mustafa RA
(2020) Gastroenterology 158: 705-731.e5
MeSH Terms: Biopsy, Disease Progression, Endoscopy, Gastrointestinal, Gastric Mucosa, Helicobacter Infections, Helicobacter pylori, Humans, Metaplasia, Population Surveillance, Precancerous Conditions, Prevalence, Risk Factors, Stomach Neoplasms, United States
Added March 3, 2020
0 Communities
1 Members
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14 MeSH Terms
Targeted mobilization of Lrig1 gastric epithelial stem cell populations by a carcinogenic type IV secretion system.
Wroblewski LE, Choi E, Petersen C, Delgado AG, Piazuelo MB, Romero-Gallo J, Lantz TL, Zavros Y, Coffey RJ, Goldenring JR, Zemper AE, Peek RM
(2019) Proc Natl Acad Sci U S A 116: 19652-19658
MeSH Terms: Adenocarcinoma, Animals, Carcinogenesis, Disease Models, Animal, Epithelial Cells, Female, Gastric Mucosa, Gastritis, Helicobacter Infections, Helicobacter pylori, Humans, Male, Membrane Glycoproteins, Mice, Mice, Knockout, Nerve Tissue Proteins, Precancerous Conditions, Primary Cell Culture, Risk Factors, Stem Cells, Stomach, Stomach Neoplasms, Type IV Secretion Systems
Show Abstract · Added September 27, 2019
-induced gastritis is the strongest risk factor for gastric adenocarcinoma, a malignancy preceded by a series of well-defined histological stages, including metaplasia. One microbial constituent that augments cancer risk is the type 4 secretion system (T4SS), which translocates the oncoprotein CagA into host cells. Aberrant stem cell activation is linked to carcinogenesis, and Lrig1 (leucine-rich repeats and Ig-like domains 1) marks a distinct population of progenitor cells. We investigated whether microbial effectors with carcinogenic potential influence Lrig1 progenitor cells ex vivo and via lineage expansion within -infected gastric mucosa. Lineage tracing was induced in (Lrig1/YFP) mice that were uninfected or subsequently infected with or an isogenic mutant (nonfunctional T4SS). In contrast to infection with wild-type (WT) for 2 wk, infection for 8 wk resulted in significantly increased inflammation and proliferation in the corpus and antrum compared with uninfected or mice infected with the mutant. WT -infected mice harbored significantly higher numbers of Lrig1/YFP epithelial cells that coexpressed UEA1 (surface cell marker). The number of cells coexpressing intrinsic factor (chief cell marker), YFP (lineage marker), and GSII lectin (spasmolytic polypeptide-expressing metaplasia marker) were increased only by WT In human samples, Lrig1 expression was significantly increased in lesions with premalignant potential compared with normal mucosa or nonatrophic gastritis. In conclusion, chronic infection stimulates Lrig1-expressing progenitor cells in a -dependent manner, and these reprogrammed cells give rise to a full spectrum of differentiated cells.
1 Communities
1 Members
0 Resources
23 MeSH Terms
Preventing Gastric Cancer Development by Inhibiting the Virulence of H. pylori Infection.
Wilson KT
(2019) Oncology (Williston Park) 33: 227-31
MeSH Terms: Antineoplastic Agents, Eflornithine, Helicobacter Infections, Helicobacter pylori, Humans, Stomach Neoplasms, Virulence
Added July 11, 2019
0 Communities
1 Members
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7 MeSH Terms
Geospatial analyses identify regional hot spots of diffuse gastric cancer in rural Central America.
Dominguez RL, Cherry CB, Estevez-Ordonez D, Mera R, Escamilla V, Pawlita M, Waterboer T, Wilson KT, Peek RM, Tavera G, Williams SM, Gulley ML, Emch M, Morgan DR
(2019) BMC Cancer 19: 545
MeSH Terms: Aged, Case-Control Studies, Central America, Disease Susceptibility, Female, Geography, Helicobacter Infections, Helicobacter pylori, Humans, Male, Middle Aged, Risk Assessment, Risk Factors, Rural Health, Spatial Analysis, Stomach Neoplasms
Show Abstract · Added June 10, 2019
BACKGROUND - Geospatial technology has facilitated the discovery of disease distributions and etiology and helped target prevention programs. Globally, gastric cancer is the leading infection-associated cancer, and third leading cause of cancer mortality worldwide, with marked geographic variation. Central and South America have a significant burden, particularly in the mountainous regions. In the context of an ongoing population-based case-control study in Central America, our aim was to examine the spatial epidemiology of gastric cancer subtypes and H. pylori virulence factors.
METHODS - Patients diagnosed with gastric cancer from 2002 to 2013 in western Honduras were identified in the prospective gastric cancer registry at the principal district hospital. Diagnosis was based on endoscopy and confirmatory histopathology. Geospatial methods were applied using the ArcGIS v10.3.1 and SaTScan v9.4.2 platforms to examine regional distributions of the gastric cancer histologic subtypes (Lauren classification), and the H. pylori CagA virulence factor. Getis-Ord-Gi hot spot and Discrete Poisson SaTScan statistics, respectively, were used to explore spatial clustering at the village level (30-50 rural households), with standardization by each village's population. H. pylori and CagA serologic status was determined using the novel H. pylori multiplex assay (DKFZ, Germany).
RESULTS - Three hundred seventy-eight incident cases met the inclusion criteria (mean age 63.7, male 66.3%). Areas of higher gastric cancer incidence were identified. Significant spatial clustering of diffuse histology adenocarcinoma was revealed both by the Getis-Ord-GI* hot spot analysis (P-value < 0.0015; range 0.00003-0.0014; 99%CI), and by the SaTScan statistic (P-value < 0.006; range 0.0026-0.0054). The intestinal subtype was randomly distributed. H. pylori CagA had significant spatial clustering only in association with the diffuse histology cancer hot spot (Getis-Ord-Gi* P value ≤0.001; range 0.0001-0.0010; SaTScan statistic P value 0.0085). In the diffuse gastric cancer hot spot, the lowest age quartile range was 21-46 years, significantly lower than the intestinal cancers (P = 0.024).
CONCLUSIONS - Geospatial methods have identified a significant cluster of incident diffuse type adenocarcinoma cases in rural Central America, suggest of a germline genetic association. Further genomic and geospatial analyses to identify potential spatial patterns of genetic, bacterial, and environmental risk factors may be informative.
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16 MeSH Terms