scholarly journals Molecular characteristics of synchronous multiple gastric cancer

Theranostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 5489-5500
Author(s):  
Anqiang Wang ◽  
Zhongwu Li ◽  
Meng Wang ◽  
Shuqin Jia ◽  
Jiahu Chen ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Molecular Characteristics ◽  
Multiple Gastric Cancer

scholarly journals Clinicopathologic and molecular characteristics of gastric cancer showing gastric and intestinal mucin phenotype

2015 ◽  
Vol 106 (8) ◽  
pp. 951-958 ◽  
Author(s):  
Naohide Oue ◽  
Kazuhiro Sentani ◽  
Naoya Sakamoto ◽  
Wataru Yasui
Keyword(s):  
Gastric Cancer ◽  
Molecular Characteristics ◽  
Mucin Phenotype ◽  
Intestinal Mucin

scholarly journals Towards Personalization in the Curative Treatment of Gastric Cancer

2020 ◽  
Vol 10 ◽  
Author(s):  
Astrid E. Slagter ◽  
Marieke A. Vollebergh ◽  
Edwin P. M. Jansen ◽  
Johanna W. van Sandick ◽  
Annemieke Cats ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Standard Of Care ◽  
Molecular Characteristics ◽  
Perioperative Chemotherapy ◽  
Current Standard ◽  
Common Cancer ◽  
Resectable Gastric Cancer

Gastric cancer is the fifth most common cancer worldwide and has a high mortality rate. In the last decades, treatment strategy has shifted from an exclusive surgical approach to a multidisciplinary strategy. Treatment options for patients with resectable gastric cancer as recommended by different worldwide guidelines, include perioperative chemotherapy, pre- or postoperative chemoradiotherapy and postoperative chemotherapy. Although gastric cancer is a heterogeneous disease with respect to patient-, tumor-, and molecular characteristics, the current standard of care is still according to a one-size-fits-all approach. In this review, we discuss the background of the different treatment strategies in resectable gastric cancer including the current standard, the specific role of radiotherapy, and describe the current areas of research and potential strategies for personalization of therapy.

Abstract 2789: Functional and molecular characteristics of 20 novel patient-derived xenografts of Asian gastric cancer.

2013 ◽  
Author(s):  
Rebekka Krumbach ◽  
Seong-Ho Kong ◽  
Woo Ho Kim ◽  
Julia Schüler ◽  
Andreas Ackermann ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Molecular Characteristics

The genomic profile and potential predictive circulating cytokines of gastric cancer combine disseminated intravascular coagulation.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16543-e16543
Author(s):  
Jian Xiao ◽  
Shanshan Li ◽  
Xiaohui Zhai ◽  
Xinyi Liu ◽  
Yaoxu Chen ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Disseminated Intravascular Coagulation ◽  
Hormone Receptors ◽  
Steroid Hormone Receptors ◽  
Molecular Characteristics ◽  
Tissue Samples ◽  
Gene Variation ◽  
Intravascular Coagulation ◽  
Gastric Cancers ◽  
Tnf Α

e16543 Background: Advanced gastric cancer (GC) combined with disseminated intravascular coagulation (DIC) is a rare clinical disease, but disease progression was rapid and the prognosis is extremely poor. Therefore, an effective whole-course treatment scheme is urgently needed, and the understanding of the molecular mechanism of the disease is still a blank. Methods: FFPE tissues were collected from 8 DIC and 62 non-DIC Chinese gastric cancers. Whole-exome sequencing (WES) by NGS technology was performed on the tissue samples. We also evaluate the protein level of circulating cytokine among 5 DIC GC and 15 non-DIC GC from the preoperative blood specimens by ELISA detection. Results: More than 700 genes related to cancer were addressed specifically. The most frequent mutated genes in DIC GC group are different from non-DIC GC group. 75% (6/8) DIC GC were detected to harbor AR gene mutations. NCOR2 (50%, 4/8) and KMT2C (37.5%, 3/8) were also most frequent mutated genes. While TP53 (72.6%, 45/62), APC (43.5%, 27/62) and KRAS (38.7%, 24/62) were the most frequent mutated genes in non-DIC gastric cancers. As an exotic comparison, the WES data from the public TCGA-STAD (n = 544) cohort was analyzed. The most frequent mutated genes turned out to be TP53 (45.1%, 205/455), LRP1B (28.6%, 130/455) and ARID1A (24.6%, 112/455). For ELISA detection, protein levels of MIP-1α (p = 0.0311)、IL-8 (p = 0.0435)、TNF-α (p = 0.0339) and MCP-1 (p = 0.0187) were significantly lower in DIC GC group, respectively, as compared to non-DIC GC group. In accordance with result of WES, 60% (12/20) samples in non-DIC GC group had more than one gene variation related to immune activation, while 25% (2/8) samples in DIC GC group had only one gene variation. Conclusions: Our study showed that DIC gastric cancers had unique molecular characteristics. Their development may be driven by malfunction in steroid hormone receptors activation other than TP53. DIC GC harbored less DNA variations than non-DIC GC. Circulating cytokine, such as MIP-1α、IL-8、TNF-α and MCP-1, may be served as potential monitoring indicators in the acute phase of DIC GC patients

Pretreatment risk factors for multiple gastric cancer and missed lesions

2011 ◽  
Vol 105 (8) ◽  
pp. 813-817 ◽  
Author(s):  
Bang Wool Eom ◽  
Jun Ho Lee ◽  
Il Ju Choi ◽  
Myeong Cherl Kook ◽  
Byung-Ho Nam ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Multiple Gastric Cancer

Eosinophilic gastroenteritis associated with multiple gastric cancer

2012 ◽  
Vol 24 (6) ◽  
pp. 727-730 ◽  
Author(s):  
Yasunori Otowa ◽  
Masaaki Mitsutsuji ◽  
Takeshi Urade ◽  
Teruhiro Chono ◽  
Haruki Morimoto ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Eosinophilic Gastroenteritis ◽  
Multiple Gastric Cancer

Microsatellite alterations and target gene mutations in the early stages of multiple gastric cancer

2001 ◽  
Vol 194 (3) ◽  
pp. 334-340 ◽  
Author(s):  
Shin-ya Ogata ◽  
Gen Tamura ◽  
Yasushi Endoh ◽  
Ken Sakata ◽  
Kiyonari Ohmura ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Target Gene ◽  
Gene Mutations ◽  
Early Stages ◽  
Multiple Gastric Cancer

scholarly journals A Case of Early Multiple Gastric Cancer 5 Years after Chemotherapy for Multiple Myeloma.

2002 ◽  
Vol 63 (10) ◽  
pp. 2443-2448
Author(s):  
Akinori MIURA ◽  
Masao TANI ◽  
Tatsuyuki KAWANO ◽  
Takehisa IWAI ◽  
Kimiya TAKESHITA
Keyword(s):  
Gastric Cancer ◽  
Multiple Myeloma ◽  
Multiple Gastric Cancer

scholarly journals Multiple Gastric Cancer Arising from Multiple Gastric Peutz-Jeghers Type Polyps in a Patient with Incomplete Peutz-Jeghers Syndrome

2016 ◽  
Vol 49 (12) ◽  
pp. 1199-1205
Author(s):  
Atsushi Yamamoto ◽  
Yoshito Yamashita ◽  
Mami Yoshii ◽  
Jyunya Morimoto ◽  
Akiko Tachimori ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Multiple Gastric Cancer ◽  
Peutz Jeghers Syndrome

scholarly journals Characterization of TGFβ-Associated Molecular Features and Drug Responses in Gastrointestinal Adenocarcinoma

2021 ◽  
Author(s):  
Qiaofeng Zhang ◽  
Furong Liu ◽  
Lu Qin ◽  
Zhibin Liao ◽  
Jia Song ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Transforming Growth Factor Beta ◽  
Transforming Growth Factor ◽  
Genomic Analysis ◽  
Molecular Characteristics ◽  
Genomic Changes ◽  
Molecular Features ◽  
Highly Correlated ◽  
Worse Prognosis

Abstract Background: Gastrointestinal adenocarcinoma (GIAD) has caused a serious disease burden globally. Targeted therapy for the transforming growth factor beta (TGF-β) signaling pathway is becoming a reality. However, the molecular characterization of TGF-β in GIAD requires further exploration.Results: The TGF-β­­high group had a worse prognosis in overall GIAD patients, and had a worse prognosis trend in gastric cancer and colon cancer specifically. Signatures (including mRNA and proteins) of the TGF-β­­high group is highly correlated with EMT. According to miRNA analysis, miR-215-3p, miR-378a-5p, and miR-194-3p may block the effect of TGF-β. Further genomic analysis showed that TGF-β­­low group had more genomic changes in gastric cancer, such as TP53 mutation, EGFR amplification, and SMAD4 deletion. And drug response dataset revealed sensitive drugs or drug resistant drugs corresponding to TGF-β associated mRNAs. Finally, the DNN model showed an excellent predictive effect in predicting TGF-β status in different GIAD datasets.Conclusions: Our study provided a comprehensive analysis of the molecular characteristics associated with TGF-β and provides possible therapeutic targets in GIAD.

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