scholarly journals Impact of Stem Cell Genes in Gastric Cancer

2017 ◽  
Author(s):  
Estefania Carrasco-Garcia ◽  
Mikel García-Puga ◽  
Manuel Moreno ◽  
Nicolas Sampron ◽  
Sara Arevalo ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Stem Cell

Cancer stem cell marker DCLK1 reprograms small extracellular vesicles toward migratory phenotype in gastric cancer cells

PROTEOMICS ◽  
2021 ◽  
pp. 2000098
Author(s):  
Annalisa L.E. Carli ◽  
Shoukat Afshar‐Sterle ◽  
Alin Rai ◽  
Haoyun Fang ◽  
Ryan O'Keefe ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Stem Cell ◽  
Cancer Stem Cell ◽  
Cancer Cells ◽  
Extracellular Vesicles ◽  
Stem Cell Marker ◽  
Cancer Stem Cell Marker ◽  
Cell Marker ◽  
Gastric Cancer Cells ◽  
Migratory Phenotype

scholarly journals Clinical and prognostic significances of cancer stem cell markers in gastric cancer patients: a systematic review and meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mahdieh Razmi ◽  
Roya Ghods ◽  
Somayeh Vafaei ◽  
Maryam Sahlolbei ◽  
Leili Saeednejad Zanjani ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Stem Cell ◽  
Cancer Stem Cell ◽  
Clinical Outcomes ◽  
Cancer Progression ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Stem Cell Markers ◽  
Free Survival

Abstract Background Gastric cancer (GC) is considered one of the most lethal malignancies worldwide, which is accompanied by a poor prognosis. Although reports regarding the importance of cancer stem cell (CSC) markers in gastric cancer progression have rapidly developed over the last few decades, their clinicopathological and prognostic values in gastric cancer still remain inconclusive. Therefore, the current meta-analysis aimed to quantitatively re-evaluate the association of CSC markers expression, overall and individually, with GC patients’ clinical and survival outcomes. Methods Literature databases including PubMed, Scopus, ISI Web of Science, and Embase were searched to identify the eligible articles. Hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) were recorded or calculated to determine the relationships between CSC markers expression positivity and overall survival (OS), disease-free survival (DFS)/relapse-free survival (RFS), disease-specific survival (DSS)/ cancer-specific survival (CSS), and clinicopathological features. Results We initially retrieved 4,425 articles, of which a total of 66 articles with 89 studies were considered as eligible for this meta-analysis, comprising of 11,274 GC patients. Overall data analyses indicated that the overexpression of CSC markers is associated with TNM stage (OR = 2.19, 95% CI 1.84–2.61, P = 0.013), lymph node metastasis (OR = 1.76, 95% CI 1.54–2.02, P < 0.001), worse OS (HR = 1.65, 95% CI 1.54–1.77, P < 0.001), poor CSS/DSS (HR = 1.69, 95% CI 1.33–2.15, P < 0.001), and unfavorable DFS/RFS (HR = 2.35, 95% CI 1.90–2.89, P < 0.001) in GC patients. However, CSC markers expression was found to be slightly linked to tumor differentiation (OR = 1.25, 95% CI 1.01–1.55, P = 0.035). Sub-analysis demonstrated a significant positive relationship between most of the individual markers, specially Gli-1, Oct-4, CD44, CD44V6, and CD133, and clinical outcomes as well as the reduced survival, whereas overexpression of Lgr-5, Nanog, and sonic hedgehog (Shh) was not found to be related to the majority of clinical outcomes in GC patients. Conclusion The expression of CSC markers is mostly associated with worse outcomes in patients with GC, both overall and individual. The detection of a combined panel of CSC markers might be appropriate as a prognostic stratification marker to predict tumor aggressiveness and poor prognosis in patients with GC, which probably results in identifying novel potential targets for therapeutic approaches.

Proteogenomic analysis of NCC-S1M, a gastric cancer stem cell-like cell line that responds to anti-PD-1

2017 ◽  
Vol 484 (3) ◽  
pp. 631-635 ◽  
Author(s):  
Jun Won Park ◽  
Hyejin Um ◽  
Hanna Yang ◽  
Woori Ko ◽  
Dae-Yong Kim ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Stem Cell ◽  
Cancer Stem Cell ◽  
Cell Line

scholarly journals Identification of stem cell-related subtypes and risk scoring for gastric cancer based on stem genomic profiling

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Renshen Xiang ◽  
Wei Song ◽  
Jun Ren ◽  
Jing Wu ◽  
Jincheng Fu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Stem Cell ◽  
Cell Activation ◽  
Cox Regression ◽  
Nk Cell ◽  
Gene Set Enrichment Analysis ◽  
Consensus Clustering ◽  
Cox Regression Analysis ◽  
Cell Enrichment ◽  
Risk Scoring

Abstract Background Although numerous studies demonstrate the role of cancer stem cells in occurrence, recurrence, and distant metastases in gastric cancer (GC), little is known about the evolving genetic and epigenetic changes in the stem and progenitor cells. The purpose of this study was to identify the stem cell subtypes in GC and examine their clinical relevance. Methods Two publicly available datasets were used to identify GC stem cell subtypes, and consensus clustering was performed by unsupervised machine learning methods. The cancer stem cell (CSC) typing-related risk scoring (RS) model was established through multivariate Cox regression analysis. Results Cross-platform dataset-based two stable GC stem cell subtypes, namely low stem cell enrichment (SCE_L) and high stem cell enrichment (SCE_H), were prudently identified. Gene set enrichment analysis revealed that the classical oncogenic pathways, immune-related pathways, and regulation of stem cell division were active in SCE_H; ferroptosis, NK cell activation, and post-mutation repair pathways were active in SCE_L. GC stem cell subtypes could accurately predict clinical outcomes in patients, tumor microenvironment cell-infiltration characteristics, somatic mutation landscape, and potential responses to immunotherapy, targeted therapy, and chemotherapy. Additionally, a CSC typing-related RS model was established; it was strongly independent and could accurately predict the patient’s overall survival. Conclusions This study demonstrated the complex oncogenic mechanisms underlying GC. The findings provide a basis and reference for the diagnosis and treatment of GC.

scholarly journals Pin1 inhibition sensitizes chemotherapy in gastric cancer cells by targeting stem-cell like traits and multiple biomarkers

2019 ◽  
pp. molcanther.0656.2019 ◽  
Author(s):  
Zhen-Zhen Zhang ◽  
Wei-Xing Yu ◽  
Min Zheng ◽  
Xin-Hua Liao ◽  
Ji-Chuang Wang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Stem Cell ◽  
Cancer Cells ◽  
Gastric Cancer Cells ◽  
Multiple Biomarkers
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