scholarly journals S1426 Identification of Three Upregulated Genes in Tumor Tissues With Poor Prognosis in Gastric Cancer via Bioinformatical Analysis

2021 ◽  
Vol 116 (1) ◽  
pp. S654-S655
Author(s):  
Chenyu Sun ◽  
Na Hyun Kim ◽  
John Pocholo W. Tuason ◽  
Ce Cheng ◽  
Chandur Bhan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Tumor Tissues ◽  
Bioinformatical Analysis ◽  
Upregulated Genes

scholarly journals Genes That Predict Poor Prognosis in Breast Cancer via Bioinformatical Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qian Zhou ◽  
Xiaofeng Liu ◽  
Mingming Lv ◽  
Erhu Sun ◽  
Xun Lu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Poor Prognosis ◽  
Differentially Expressed ◽  
Venn Diagram ◽  
Breast Cancer Patients ◽  
Prognostic Information ◽  
Bioinformatical Analysis ◽  
Cancer Tissues ◽  
Upregulated Genes ◽  
Core Genes

Background. Breast cancer is one of the most commonly diagnosed cancers all over the world, and it is now the leading cause of cancer death among females. The aim of this study was to find DEGs (differentially expressed genes) which can predict poor prognosis in breast cancer and be effective targets for breast cancer patients via bioinformatical analysis. Methods. GSE86374, GSE5364, and GSE70947 were chosen from the GEO database. DEGs between breast cancer tissues and normal breast tissues were picked out by GEO2R and Venn diagram software. Then, DAVID (Database for Annotation, Visualization, and Integrated Discovery) was used to analyze these DEGs in gene ontology (GO) including molecular function (MF), cellular component (CC), and biological process (BP) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway. Next, STRING (Search Tool for the Retrieval of Interacting Genes) was used to investigate potential protein-protein interaction (PPI) relationships among DEGs and these DEGs were analyzed by Molecular Complex Detection (MCODE) in Cytoscape. After that, UALCAN, GEPIA (gene expression profiling interactive analysis), and KM (Kaplan–Meier plotter) were used for the prognostic information and core genes were qualified. Results. There were 96 upregulated genes and 98 downregulated genes in this study. 55 upregulated genes were selected as hub genes in the PPI network. For validation in UALCAN, GEPIA, and KM, 5 core genes (KIF4A, RACGAP1, CKS2, SHCBP1, and HMMR) were found to highly expressed in breast cancer tissues with poor prognosis. They differentially expressed between different subclasses of breast cancer. Conclusion. These five genes (KIF4A, RACGAP1, CKS2, SHCBP1, and HMMR) could be potential targets for therapy in breast cancer and prediction of prognosis on the basis of bioinformatical analysis.

scholarly journals S179 Higher Expression of CTHRC1 in Tumor Tissues Is Associated With Poor Prognosis in Colorectal Cancer: A Bioinformatical Analysis

2021 ◽  
Vol 116 (1) ◽  
pp. S80-S80
Author(s):  
Chenyu Sun ◽  
Na Hyun Kim ◽  
John Pocholo W. Tuason ◽  
Chandur Bhan ◽  
Sudha Misra ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Poor Prognosis ◽  
Tumor Tissues ◽  
Bioinformatical Analysis

Identification of novel autoantibodies in ascites of relapsed paclitaxel-resistant gastric cancer with peritoneal metastasis using immunome protein microarrays and proteomics

2021 ◽  
pp. 1-10
Author(s):  
Zhongyin Yang ◽  
Chao Yan ◽  
Wentao Liu ◽  
Wei Xu ◽  
Chen Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Effective Treatment ◽  
Peritoneal Metastasis ◽  
Quantitative Proteomics ◽  
Poor Prognosis ◽  
Protein Microarrays ◽  
Tandem Mass ◽  
Tandem Mass Tag ◽  
Resistant Group ◽  
Potential Biomarkers

BACKGROUND: Gastric cancer (GC) patients with peritoneal metastasis usually have extremely poor prognosis. Intraperitoneal infusion of paclitaxel (PTX) provides an effective treatment, but relapse and PTX-resistance are unavoidable disadvantages, and it is difficult to monitor the occurrence of PTX-resistance. OBJECTIVE: The aim of this study was to explore novel autoantibodies in the ascites of individuals with relapsed PTX-resistant GC with peritoneal metastasis. METHODS: Ascites samples were collected before PTX infusion and after the relapse in 3 GC patients. To determine the expression of significantly changed proteins, we performed autoantibody profiling with immunome protein microarrays and tandem mass tag (TMT) quantitative proteomics, and then, the overlapping proteins were selected. RESULTS: Thirty-eight autoantibodies that were differentially expressed between the ascites in the untreated group and relapsed PTX-resistant group were identified. For confirmation of the results, TMT quantitative proteomics was performed, and 842 dysregulated proteins were identified. Four proteins, TPM3, EFHD2, KRT19 and vimentin, overlapped between these two assays. CONCLUSIONS: Our results first revealed that TPM3, EFHD2, KRT19 and vimentin were novel autoantibodies in the ascites of relapsed PTX-resistant GC patients. These autoantibodies may be used as potential biomarkers to monitor the occurrence of PTX-resistance.

scholarly journals LAMB1 Is Related to the T Stage and Indicates Poor Prognosis in Gastric Cancer

2021 ◽  
Vol 20 ◽  
pp. 153303382110049
Author(s):  
Tao Ran ◽  
ZhiJi Chen ◽  
LiWen Zhao ◽  
Wei Ran ◽  
JinYu Fan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Hazard Models ◽  
Proportional Hazard ◽  
Kegg Analysis ◽  
Proportional Hazard Models ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Cox Proportional Hazard Models ◽  
Gastric Cancer Patients

Background and Objective: Gastric cancer (GC) is a common tumor malignancy with high incidence and poor prognosis. Laminin is an indispensable component of basement membrane and extracellular matrix, which is responsible for bridging the internal and external environment of cells and transmitting signals. This study mainly explored the association of the LAMB1 expression with clinicopathological characteristics and prognosis in gastric cancer. Methods: The expression data and clinical information of gastric cancer patients were downloaded from The Cancer Genome Atlas (TCGA) and Asian Cancer Research Group (ACRG). And we analyzed the relationship between LAMB1 expression and clinical characteristics through R. CIBERSORTx was used to calculate the absolute score of immune cells in gastric tumor tissues. Then COX proportional hazard models and Kaplan-Meier curves were performed to evaluate the role of LAMB1 and its influence on prognosis in gastric cancer patients. Finally, GO and KEGG analysis were applied for LAMB1-related genes in gastric cancer, and PPI network was constructed in Cytoscape software. Results: In the TCGA cohort, patients with gastric cancer frequently generated LAMB1 gene copy number variation, but had little effect on mRNA expression. Both in the TCGA and ACRG cohorts, the mRNA expression of LAMB1 in gastric cancer tissues was higher than it in normal tissues. All patients were divided into high expression group and low expression group according to the median expression level of LAMB1. The elevated expression group obviously had more advanced cases and higher infiltration levels of M2 macrophages. COX proportional hazard models and Kaplan-Meier curves revealed that patients with enhanced expression of LAMB1 have a worse prognosis. GO/KEGG analysis showed that LAMB1-related genes were enriched in PI3K-Akt signaling pathway, focal adhesion, ECM-receptor interaction, etc. Conclusions: The high expression of LAMB1 in gastric cancer is related to the poor prognosis of patients, and it may be related to microenvironmental changes in tumors.

scholarly journals Gastric cancer with repeated metastasis in the colonic lumen: a case report and multi-surgical experience

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110184
Author(s):  
Yi Wang ◽  
Peiqing Ma ◽  
Kan Liu ◽  
Dongkui Xu ◽  
Qian Liu
Keyword(s):  
Gastric Cancer ◽  
Gastric Carcinoma ◽  
Poor Prognosis ◽  
Partial Gastrectomy ◽  
Radical Resection ◽  
Surgical Experience ◽  
Colonic Lumen ◽  
Poorly Differentiated ◽  
Gastric Stump Carcinoma ◽  
Peritoneal Spread

Poorly differentiated gastric adenocarcinoma is commonly associated with lymph node metastasis, peritoneal spread, and liver metastasis but rarely with intraintestinal metastasis. Most patients with metastatic gastric carcinoma are unable to undergo surgical treatment and have a poor prognosis. A 42-year-old man with hunger-related abdominal pain was diagnosed as having gastric cancer. After the first surgery (distal partial gastrectomy) and the second surgery (gastric stump carcinoma (GSC) resection), the patient suffered repeated multiple intracolonic metastases and underwent three additional resection operations. The patient survived for 154 months after the first operation. In patients with gastric carcinoma that metastasizes to the colonic lumen, radical resection, if possible, can extend survival. Once patients develop extensive extraintestinal metastasis, radical resection cannot be performed, and patients often exhibit a poor prognosis.

Sign in / Sign up

Export Citation Format

Share Document