scholarly journals Drug Discovery Approaches to Target Wnt Signaling in Cancer Stem Cells

Oncotarget ◽  
2010 ◽  
Vol 1 (7) ◽  
pp. 563-577 ◽  
Author(s):  
Joshua C. Curtin ◽  
Matthew V. Lorenzi
Keyword(s):  
Stem Cells ◽  
Drug Discovery ◽  
Cancer Stem Cells ◽  
Wnt Signaling

scholarly journals Erratum: Drug Discovery Approaches to Target Wnt Signaling in Cancer Stem Cells

Oncotarget ◽  
2018 ◽  
Vol 9 (78) ◽  
pp. 34856-34856 ◽  
Author(s):  
Joshua C. Curtin ◽  
Matthew V. Lorenzi
Keyword(s):  
Stem Cells ◽  
Drug Discovery ◽  
Cancer Stem Cells ◽  
Wnt Signaling

scholarly journals Let-7c blocks estrogen-activated Wnt signaling in induction of self-renewal of breast cancer stem cells

2016 ◽  
Vol 23 (4) ◽  
pp. 83-89 ◽  
Author(s):  
X Sun ◽  
C Xu ◽  
S-C Tang ◽  
J Wang ◽  
H Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Stem Cells ◽  
Cancer Stem Cells ◽  
Wnt Signaling ◽  
Breast Cancer Stem Cells ◽  
Self Renewal

scholarly journals LGR6 activates the Wnt/β-catenin signaling pathway and forms a β-catenin/TCF7L2/LGR6 feedback loop in LGR6high cervical cancer stem cells

Oncogene ◽  
2021 ◽  
Author(s):  
Qian Feng ◽  
Shan Li ◽  
Hong-Mei Ma ◽  
Wen-Ting Yang ◽  
Peng-Sheng Zheng
Keyword(s):  
Cervical Cancer ◽  
Stem Cells ◽  
Cancer Stem Cells ◽  
Wnt Signaling ◽  
Signaling Pathway ◽  
Western Blotting ◽  
Positive Feedback ◽  
Feedback Loop ◽  
Stem Cell Marker ◽  
Positive Feedback Loop

AbstractThe leucine-rich repeat-containing G-protein-coupled receptor 6 (LGR6) is considered to be a stem cell marker in many normal tissues and promotes tissue development, regeneration, and repair. LGR6 is also related to the initiation and progression of some malignant tumors. However, the role of LGR6 in cervical cancer has not been reported. Here, immunohistochemistry and western blotting showed that LGR6 was significantly upregulated in cervical cancer, compared with the normal cervix. By analyzing The Cancer Genome Atlas database, LGR6 was found to be correlated with a poor prognosis of cervical cancer. Then, a small population of LGR6high cells isolated by using the fluorescence-activated cell sorting exhibited enhanced properties of cancer stem cells including self-renewal, differentiation, and tumorigenicity. Moreover, RNA sequencing revealed that LGR6 was correlated with the Wnt signaling pathway and TOP/FOP, reverse transcription-PCR, and western blotting further proved that LGR6 could activate the Wnt/β-catenin signaling pathway. Interestingly, LGR6 upregulated the expression of TCF7L2 by activating the Wnt/β-catenin pathway. Then, TCF7L2 combining with β-catenin in the nucleus enhanced LGR6 transcription by binding the promoter of LGR6, which further activated the Wnt signaling to form a positive feedback loop. Thus, our study demonstrated that LGR6 activated a novel β-catenin/TCF7L2/LGR6-positive feedback loop in LGR6high cervical cancer stem cells (CSCs), which provided a new therapeutic strategy for targeting cervical CSCs to improve the prognosis of cervical cancer patients.

scholarly journals Novel drug discovery system for cancer stem cells in human squamous cell carcinoma of the esophagus

2013 ◽  
Vol 31 (3) ◽  
pp. 1133-1138 ◽  
Author(s):  
YOSHIHIRO KANO ◽  
MASAMITSU KONNO ◽  
KOICHI KAWAMOTO ◽  
KEISUKE TAMARI ◽  
KAZUHIKO HAYASHI ◽  
...  
Keyword(s):  
Stem Cells ◽  
Squamous Cell Carcinoma ◽  
Drug Discovery ◽  
Cancer Stem Cells ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Carcinoma Of The Esophagus ◽  
Human Squamous Cell Carcinoma ◽  
Discovery System ◽  
Novel Drug

scholarly journals SC-36 * RECIPROCAL INTERACTION OF PGE2 AND WNT SIGNALING REGULATES CANCER STEM CELLS IN GLIOBLASTOMA

2014 ◽  
Vol 16 (suppl 5) ◽  
pp. v204-v204
Author(s):  
M. Wu ◽  
L. Nusrat ◽  
A. Celebre ◽  
M. Bredel ◽  
J. Karamchandani ◽  
...  
Keyword(s):  
Stem Cells ◽  
Cancer Stem Cells ◽  
Wnt Signaling ◽  
Reciprocal Interaction

Wnt signaling in stem and cancer stem cells

2013 ◽  
Vol 25 (2) ◽  
pp. 254-264 ◽  
Author(s):  
Jane D Holland ◽  
Alexandra Klaus ◽  
Alistair N Garratt ◽  
Walter Birchmeier
Keyword(s):  
Stem Cells ◽  
Cancer Stem Cells ◽  
Wnt Signaling

scholarly journals The Long Noncoding RNA lncTCF7 Promotes Self-Renewal of Human Liver Cancer Stem Cells through Activation of Wnt Signaling

2015 ◽  
Vol 16 (4) ◽  
pp. 413-425 ◽  
Author(s):  
Yanying Wang ◽  
Lei He ◽  
Ying Du ◽  
Pingping Zhu ◽  
Guanling Huang ◽  
...  
Keyword(s):  
Stem Cells ◽  
Cancer Stem Cells ◽  
Liver Cancer ◽  
Wnt Signaling ◽  
Long Noncoding Rna ◽  
Human Liver ◽  
Noncoding Rna ◽  
Self Renewal ◽  
Liver Cancer Stem Cells ◽  
Human Liver Cancer

scholarly journals Abstract 4685: Cancer associated fibroblasts promote ovarian cancer chemoresistance by inducing cancer stem cells through Wnt signaling

2019 ◽  
Author(s):  
Yiming Fang ◽  
Mohamed A. Abd El Aziz ◽  
Kartikeya Tiwari ◽  
Anirban K. Mitra
Keyword(s):  
Ovarian Cancer ◽  
Stem Cells ◽  
Cancer Stem Cells ◽  
Wnt Signaling ◽  
Cancer Associated Fibroblasts ◽  
Cancer Chemoresistance

Conditional Generative Adversarial Networks to Model iPSC-Derived Cancer Stem Cells

2020 ◽  
Vol 24 (1) ◽  
pp. 134-141 ◽  
Author(s):  
Saori Aida ◽  
Hiroyuki Kameda ◽  
Sakae Nishisako ◽  
Tomonari Kasai ◽  
Atsushi Sato ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Stem Cells ◽  
Drug Discovery ◽  
Cancer Stem Cells ◽  
Low Cost ◽  
Generative Adversarial Networks ◽  
Cell Detection ◽  
Smart System ◽  
Adversarial Networks ◽  
Normal Image

The realization of effective and low-cost drug discovery is imperative to enable people to easily purchase and use medicines when necessary. This paper reports a smart system for detecting iPSC-derived cancer stem cells by using conditional generative adversarial networks. This system with artificial intelligence (AI) accepts a normal image from a microscope and transforms it into a corresponding fluorescent-marked fake image. The AI system learns 10,221 sets of paired pictures as input. Consequently, the system’s performance shows that the correlation between true fluorescent-marked images and fake fluorescent-marked images is at most 0.80. This suggests the fundamental validity and feasibility of our proposed system. Moreover, this research opens a new way for AI-based drug discovery in the process of iPSC-derived cancer stem cell detection.

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