LIFR promotes tumor angiogenesis by up-regulating IL-8 levels in colorectal cancer

Wu, Haoxuan; Cheng, Xi; Jing, Xiaoqian; Ji, Xiaofan; Chen, Xianze; Zhang, Yaqi; He, Yonggang; Liu, Kun; Ye, Feng; Sun, Hanxing; Gao, Haoji; Song, Zijia; Wu, Hongmei; Zhang, Xiaojian; Zhang, Tao; Zhao, Ren

doi:10.1016/j.bbadis.2018.05.004

Cited by 37 publications

(26 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…67 candidate marker genes were identified that strongly correlated with the human BP/bRG population (Pollen et al, 2014, 2015). Genes were highlighted related to extracellular matrix formation, migration and stemness, including TNC (Garcion et al, 2004), PTPRZ1 (Baldauf et al, 2015), FAM107A (Kiwerska et al, 2017), HOPX (Yap et al, 2016), and LIFR (Wu et al, 2018). Importantly, LIFR/STAT3 signaling was found to be required for bRG cell cycle progression and selectively expressed by bRGs (Pollen et al, 2015).…”

Section: Characteristics Of Brgsmentioning

confidence: 99%

Genes and Mechanisms Involved in the Generation and Amplification of Basal Radial Glial Cells

Penisson

Ladewig

Belvindrah

et al. 2019

Front. Cell. Neurosci.

View full text Add to dashboard Cite

The development of the cerebral cortex relies on different types of progenitor cell. Among them, the recently described basal radial glial cell (bRG) is suggested to be of critical importance for the development of the brain in gyrencephalic species. These cells are highly numerous in primate and ferret brains, compared to lissencephalic species such as the mouse in which they are few in number. Their somata are located in basal subventricular zones in gyrencephalic brains and they generally possess a basal process extending to the pial surface. They sometimes also have an apical process directed toward the ventricular surface, similar to apical radial glial cells (aRGs) from which they are derived, and whose somata are found more apically in the ventricular zone. bRGs share similarities with aRGs in terms of gene expression ( SOX2 , PAX6 , and NESTIN ), whilst also expressing a range of more specific genes (such as HOPX ). In primate brains, bRGs can divide multiple times, self-renewing and/or generating intermediate progenitors and neurons. They display a highly specific cytokinesis behavior termed mitotic somal translocation. We focus here on recently identified molecular mechanisms associated with the generation and amplification of bRGs, including bRG-like cells in the rodent. These include signaling pathways such as the FGF-MAPK cascade, SHH, PTEN/AKT, PDGF pathways, and proteins such as INSM, GPSM2, ASPM, TRNP1, ARHGAP11B, PAX6, and HIF1α. A number of these proteins were identified through transcriptome comparisons in human aRGs vs. bRGs, and validated by modifying their activities or expression levels in the mouse. This latter experiment often revealed enhanced bRG-like cell production, even in some cases generating folds (gyri) on the surface of the mouse cortex. We compare the features of the identified cells and methods used to characterize them in each model. These important data converge to indicate pathways essential for the production and expansion of bRGs, which may help us understand cortical development in health and disease.

show abstract

Section: Characteristics Of Brgsmentioning

confidence: 99%

Genes and Mechanisms Involved in the Generation and Amplification of Basal Radial Glial Cells

Penisson

Ladewig

Belvindrah

et al. 2019

Front. Cell. Neurosci.

View full text Add to dashboard Cite

show abstract

“…The most frequent pairs that appeared in at least 4 types of cancer were shown in Table 2. These common critical pairs could contribute to aberrant cell growth, survival and cell motility in various cancer types [38–40]. MiR-21 was the most common miRNA that was found in many critical miRNA-target gene pairs [37, 41].…”

Section: Resultsmentioning

confidence: 99%

Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer

et al. 2018

BioMed Research International

View full text Add to dashboard Cite

Background Accumulating evidences demonstrated that microRNA-target gene pairs were closely related to tumorigenesis and development. However, the correlation between miRNA and target gene was insufficiently understood, especially its changes between tumor and normal tissues. Objectives The aim of this study was to evaluate the changes of correlation of miRNAs-target pairs between normal and tumor. Materials and Methods 5680 mRNA and 5740 miRNA expression profiles of 11 major human cancers were downloaded from the Cancer Genome Atlas (TCGA). The 11 cancer types were bladder urothelial carcinoma, breast invasive carcinoma, head and neck squamous cell carcinoma, kidney chromophobe, kidney renal clear cell carcinoma, kidney renal papillary cell carcinoma, liver hepatocellular carcinoma, lung adenocarcinoma, lung squamous cell carcinoma, stomach adenocarcinoma, and thyroid carcinoma. For each cancer type, we firstly obtained differentially expressed miRNAs (DEMs) and genes (DEGs) in tumor and then acquired critical miRNA-target gene pairs by combining DEMs, DEGs and two experimentally validated miRNA-target interaction databases, miRTarBase and miRecords. We collected samples with both miRNA and mRNA expression values and performed a correlation analysis by Pearson method for miRNA-target pairs in normal and tumor, respectively. Results We totally got 4743 critical miRNA-target pairs across 11 cancer types, and 4572 of them showed weaker correlation in tumor than in normal. The average correlation coefficients of miRNA-target pairs were different greatly between normal (-0.38 ~ -0.61) and tumor (-0.04 ~ -0.26) for 11 cancer type. The pan-cancer network, which consisted of 108 edges connecting 35 miRNAs and 89 target genes, showed the interactions of pairs appeared in multicancers. Conclusions This comprehensive analysis revealed that correlation between miRNAs and target genes was greatly reduced in tumor and these critical pairs we got were involved in cellular adhesion, proliferation, and migration. Our research could provide opportunities for investigating cancer molecular regulatory mechanism and seeking therapeutic targets.

show abstract

“…In breast cancer, LIFR has been identified as a tumor suppressor and a negative regulator of YAP 29 . On the other hand, LIFR has been shown to promote tumor progression in prostate cancer 30 , melanoma 31 , and colorectal cancer 32 . More recently, LIFR signaling has been implicated in breast cancer cell dormancy in bone marrow 33 .…”

Section: Introductionmentioning

confidence: 99%

Cytoplasmic LIF reprograms invasive mode to enhance NPC dissemination through modulating YAP1-FAK/PXN signaling

et al. 2018

View full text Add to dashboard Cite

Metastasis remains a clinically unsolved issue in nasopharyngeal carcinoma. Here, we report that higher levels of cytoplasmic leukemia inhibitory factor (LIF) and LIF receptor are correlated with poorer metastasis/recurrence-free survival. Further, single nucleotide variations and signal peptide mutation of LIF are identified in NPC. Cytoplasmic LIF reprograms the invasive mode from collective to mesenchymal migration via acquisition of EMT and invadopodia-associated characteristics. Higher cytoplasmic LIF enhances cancer vascular dissemination and local invasion mechanistically through modulation of YAP1-FAK/PXN signaling. Immunohistochemical analyses of NPC biopsies reveal a positive correlation of cytoplasmic LIF expression with focal adhesion kinases. Pharmaceutical intervention with AZD0530 markedly reverses LIF-mediated cancer dissemination and local invasion through promotion of cytoplasmic accumulation of YAP1 and suppression of focal adhesion kinases. Given the significant role of LIF/YAP1-focal adhesion signaling in cancer dissemination, targeting of this pathway presents a promising opportunity to block metastasis.

show abstract

LIFR promotes tumor angiogenesis by up-regulating IL-8 levels in colorectal cancer

Cited by 37 publications

References 30 publications

Genes and Mechanisms Involved in the Generation and Amplification of Basal Radial Glial Cells

Genes and Mechanisms Involved in the Generation and Amplification of Basal Radial Glial Cells

Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer

Cytoplasmic LIF reprograms invasive mode to enhance NPC dissemination through modulating YAP1-FAK/PXN signaling

Contact Info

Product

Resources

About