1105 COMPREHENSIVE CHARACTERIZATION OF THE GENOMIC LANDSCAPE OF NON-INVASIVE GASTRIC CANCER IN THE JAPANESE POPULATION USING TWO SUSCEPTIBILITY GENES

2020 ◽  
Vol 158 (6) ◽  
pp. S-215
Author(s):  
Koki Nakamura ◽  
Yuji Urabe ◽  
Kenich Kagemoto ◽  
Atsushi Ono ◽  
Hayes C. Nelson ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Japanese Population ◽  
Susceptibility Genes ◽  
Non Invasive ◽  
Genomic Landscape ◽  
Comprehensive Characterization

scholarly journals Comprehensive characterization of the genomic alterations in human gastric cancer

2014 ◽  
Vol 137 (1) ◽  
pp. 86-95 ◽  
Author(s):  
Juan Cui ◽  
Yanbin Yin ◽  
Qin Ma ◽  
Guoqing Wang ◽  
Victor Olman ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Human Gastric Cancer ◽  
Genomic Alterations ◽  
Comprehensive Characterization

Comprehensive characterization of PDL-1 and CTLA-4 in gastric cancer.

2015 ◽  
Vol 33 (15_suppl) ◽  
pp. 4056-4056
Author(s):  
Hans Anton Schloesser ◽  
Uta Drebber ◽  
Martin Thelen ◽  
Michael Kloth ◽  
Sasha Rothschild ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Comprehensive Characterization

scholarly journals Comprehensive characterization of the phosphoproteome of gastric cancer from endoscopic biopsy specimens

Theranostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 2115-2129 ◽  
Author(s):  
Yuichi Abe ◽  
Hidekazu Hirano ◽  
Hirokazu Shoji ◽  
Asa Tada ◽  
Junko Isoyama ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Endoscopic Biopsy ◽  
Biopsy Specimens ◽  
Comprehensive Characterization

scholarly journals Abstract 151: Comprehensive characterization of gastric cancer at single-cell resolution

2019 ◽  
Author(s):  
Jiamin Chen ◽  
Anuja Sathe ◽  
Sue Grimes ◽  
Stephanie Greer ◽  
Billy Lau ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Single Cell ◽  
Comprehensive Characterization

Polarized Multispectral Imaging for the Diagnosis of Skin Cancer

2019 ◽  
Vol 2019 (1) ◽  
pp. 381-385
Author(s):  
Laura Rey-Barroso ◽  
Francisco J. Burgos-Fernández ◽  
Santiago Royo ◽  
Susana Puig ◽  
Josep Malvehy ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Gold Standard ◽  
Multispectral Imaging ◽  
False Positives ◽  
Spectral Features ◽  
Imaging Device ◽  
Preliminary Results ◽  
Non Invasive ◽  
Comprehensive Characterization

The effective and non-invasive diagnosis of skin cancer is a hot topic in biophotonics since the current gold standard, a biopsy, is slow and costly. Non-invasive optical techniques such as polarization and multispectral imaging have arisen as powerful tools to overcome these constraints. The combination of these techniques provides a comprehensive characterization of skin chromophores including polarization, color and spectral features. Hence, in this work we propose a polarized multispectral imaging device that works from 414 nm to 995 nm and at 0º, 45º and 90º polarization configurations. Preliminary results performed over 20 nevi and 20 melanoma found statistically significant descriptors (p<0.05) that discriminated between these two lesion etiologies. A further analysis of more lesions is expected to contribute in reducing the false positives during the diagnosis process and, as a consequence, the number of necessary biopsies.

scholarly journals Identification and characterization of a novel germ line p53 mutation in familial gastric cancer in the Japanese population

2007 ◽  
Vol 28 (9) ◽  
pp. 2013-2018 ◽  
Author(s):  
H. Yamada ◽  
K. Shinmura ◽  
K. Okudela ◽  
M. Goto ◽  
M. Suzuki ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Japanese Population ◽  
Germ Line ◽  
P53 Mutation ◽  
Familial Gastric Cancer ◽  
Identification And Characterization

scholarly journals Genomic Characterization of Non-Invasive Differentiated-Type Gastric Cancer in the Japanese Population

Cancers ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 510 ◽  
Author(s):  
Koki Nakamura ◽  
Yuji Urabe ◽  
Kenichi Kagemoto ◽  
Ryo Yuge ◽  
Ryohei Hayashi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Gastric Mucosa ◽  
Sequence Data ◽  
Important Change ◽  
The Cancer Genome Atlas ◽  
Driver Mutations ◽  
Non Invasive ◽  
Fresh Frozen ◽  
Genomic Characterization

Background and aims: Recent genomic characterization of gastric cancer (GC) by sequencing has revealed a large number of cancer-related genes. Research to characterize the genomic landscape of cancer has focused on established invasive cancer to develop biomarkers for therapeutic or diagnostic targets, and nearly all GC reports have been about advanced GC. The aim of this study is to identify recurrently mutated genes in non-invasive GC and, in particular, the driver mutations that are associated with the development of GC. Methods and results: We performed whole-exome sequencing of 19 fresh frozen specimens of differentiated-type non-invasive GC and targeted sequencing for 168 genes of 30 formalin-fixed paraffin-embedded archival specimens of differentiated-type non-invasive GC. We found that TP53 and LRP1 are significantly associated with non-invasive GC. It has been reported that LPR1 is associated with CagA autophagy in gastric mucosa. Therefore, we downloaded RNA sequence data for gastric cancer from the The Cancer Genome Atlas (TCGA) Genomic Data Commons Data Portal and examined the differences in LRP1 gene expression levels. The expression level was significantly lower in cases without LRP1 mutation than in cases with LRP1 mutation. Based on these results, fluorescent immunostaining for CagA was performed for 49 of the above samples to evaluate CagA accumulation within the cancerous tissue. Accumulation of CagA was significantly greater when an LRP1 mutation was present than without a mutation. Conclusion: These data suggest that LRP1 mutation is an important change promoting the transformation of gastric mucosa to GC early in the carcinogenesis of cancer.

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