scholarly journals Integrative Analysis of Membrane Proteome and MicroRNA Reveals Novel Lung Cancer Metastasis Biomarkers

2020 ◽  
Vol 11 ◽  
Author(s):  
Yan Kong ◽  
Zhi Qiao ◽  
Yongyong Ren ◽  
Georgi Z. Genchev ◽  
Maolin Ge ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Metastasis ◽  
Integrative Analysis ◽  
Membrane Proteome ◽  
Lung Cancer Metastasis

scholarly journals Integrated DNA Copy Number and Gene Expression Regulatory Network Analysis of Non-small Cell Lung Cancer Metastasis

2014 ◽  
Vol 13s5 ◽  
pp. CIN.S14055 ◽  
Author(s):  
Seyed M. Iranmanesh ◽  
Nancy L. Guo
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Copy Number ◽  
Regulatory Networks ◽  
Cancer Metastasis ◽  
Integrative Analysis ◽  
Transcriptional Level ◽  
Dna Copy Number ◽  
Driver Genes ◽  
Lung Cancer Metastasis

Integrative analysis of multi-level molecular profiles can distinguish interactions that cannot be revealed based on one kind of data in the analysis of cancer susceptibility and metastasis. DNA copy number variations (CNVs) are common in cancer cells, and their role in cell behaviors and relationship to gene expression (GE) is poorly understood. An integrative analysis of CNV and genome-wide mRNA expression can discover copy number alterations and their possible regulatory effects on GE. This study presents a novel framework to identify important genes and construct potential regulatory networks based on these genes. Using this approach, DNA copy number aberrations and their effects on GE in lung cancer progression were revealed. Specifically, this approach contains the following steps: (1) select a pool of candidate driver genes, which have significant CNV in lung cancer patient tumors or have a significant association with the clinical outcome at the transcriptional level; (2) rank important driver genes in lung cancer patients with good prognosis and poor prognosis, respectively, and use top-ranked driver genes to construct regulatory networks with the COpy Number and Expression In Cancer (CONEXIC) method; (3) identify experimentally confirmed molecular interactions in the constructed regulatory networks using Ingenuity Pathway Analysis (IPA); and (4) visualize the refined regulatory networks with the software package Genatomy. The constructed CNV/mRNA regulatory networks provide important insights into potential CNV-regulated transcriptional mechanisms in lung cancer metastasis.

Wound Healing after Trauma May Predispose to Lung Cancer Metastasis

2011 ◽  
Vol 44 (5) ◽  
pp. 591-596 ◽  
Author(s):  
Nicholas D. Walter ◽  
Pamela L. Rice ◽  
Elizabeth F. Redente ◽  
Emily F. Kauvar ◽  
Lisa Lemond ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Wound Healing ◽  
Cancer Metastasis ◽  
Lung Cancer Metastasis

scholarly journals FlowCell-enriched circulating tumor cells as a predictor of lung cancer metastasis

Human Cell ◽  
2021 ◽  
Author(s):  
Yan Lu ◽  
Yushuang Zheng ◽  
Yuhong Wang ◽  
Dongmei Gu ◽  
Jun Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Cancer Metastasis ◽  
Lung Tumor ◽  
Early Stage ◽  
High Rate ◽  
Early Stage Lung Cancer ◽  
Lung Cancer Metastasis ◽  
Number Of Patients

AbstractLung cancer is the most fetal malignancy due to the high rate of metastasis and recurrence after treatment. A considerable number of patients with early-stage lung cancer relapse due to overlooked distant metastasis. Circulating tumor cells (CTCs) are tumor cells in blood circulation that originated from primary or metastatic sites, and it has been shown that CTCs are critical for metastasis and prognosis in various type of cancers. Here, we employed novel method to capture, isolate and classify CTC with FlowCell system and analyzed the CTCs from a cohort of 302 individuals. Our results illustrated that FlowCell-enriched CTCs effectively differentiated benign and malignant lung tumor and the total CTC counts increased as the tumor developed. More importantly, we showed that CTCs displayed superior sensitivity and specificity to predict lung cancer metastasis in comparison to conventional circulating biomarkers. Taken together, our data suggested CTCs can be used to assist the diagnosis of lung cancer as well as predict lung cancer metastasis. These findings provide an alternative means to screen early-stage metastasis.

scholarly journals The role of exosomes in lung cancer metastasis and clinical applications: an updated review

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Lei Yin ◽  
Xiaotian Liu ◽  
Xuejun Shao ◽  
Tao Feng ◽  
Jun Xu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Drug Resistance ◽  
Cancer Cell ◽  
Cancer Metastasis ◽  
Value Assessment ◽  
Lung Carcinogenesis ◽  
Research Attention ◽  
Mesenchymal Transition ◽  
Lung Cancer Metastasis

AbstractLung cancer is the leading cause of cancer-associated deaths accounting for 24% of all cancer deaths. As a crucial phase of tumor progression, lung cancer metastasis is linked to over 70% of these mortalities. In recent years, exosomes have received increasing research attention in their role in the induction of carcinogenesis and metastasis in the lung. In this review, recent studies on the contribution of exosomes to lung cancer metastasis are discussed, particularly highlighting the role of lung tumor-derived exosomes in immune system evasion, epithelial-mesenchymal transition, and angiogenesis, and their involvement at both the pre-metastatic and metastatic phases. The clinical application of exosomes as therapeutic drug carriers, their role in antitumor drug resistance, and their utility as predictive biomarkers in diagnosis and prognosis are also presented. The metastatic activity, a complex multistep process of cancer cell invasion, survival in blood vessels, attachment and subsequent colonization of the host's organs, is integrated with exosomal effects. Exosomes act as functional mediating factors in cell–cell communication, influencing various steps of the metastatic cascade. To this end, lung cancer cell-derived exosomes enhance cell proliferation, angiogenesis, and metastasis, regulate drug resistance, and antitumor immune activities during lung carcinogenesis, and are currently being explored as an important component in liquid biopsy assessment for diagnosing lung cancer. These nano-sized extracellular vesicles are also being explored as delivery vehicles for therapeutic molecules owing to their unique properties of biocompatibility, circulatory stability, decreased toxicity, and tumor specificity. The current knowledge of the role of exosomes highlights an array of exosome-dependent pathways and cargoes that are ripe for exploiting therapeutic targets to treat lung cancer metastasis, and for predictive value assessment in diagnosis, prognosis, and anti-tumor drug resistance.

Jinfukang inhibits lung cancer metastasis by upregulating CX3CL1 to recruit NK cells to kill CTCs

2021 ◽  
pp. 114175
Author(s):  
Zu-Jun Que ◽  
Jia-Liang Yao ◽  
Zhi-Yi Zhou ◽  
Pan Yu ◽  
Bin Luo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Nk Cells ◽  
Cancer Metastasis ◽  
Lung Cancer Metastasis

scholarly journals Long non-coding RNA AFAP1-AS1 accelerates lung cancer cells migration and invasion by interacting with SNIP1 to upregulate c-Myc

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Yu Zhong ◽  
Liting Yang ◽  
Fang Xiong ◽  
Yi He ◽  
Yanyan Tang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Cells ◽  
Cancer Patients ◽  
Cancer Metastasis ◽  
Lung Cancer Cells ◽  
Migration And Invasion ◽  
Lung Cancer Patients ◽  
Lung Cancer Metastasis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

AbstractActin filament associated protein 1 antisense RNA 1 (named AFAP1-AS1) is a long non-coding RNA and overexpressed in many cancers. This study aimed to identify the role and mechanism of AFAP1-AS1 in lung cancer. The AFAP1-AS1 expression was firstly assessed in 187 paraffin-embedded lung cancer and 36 normal lung epithelial tissues by in situ hybridization. The migration and invasion abilities of AFAP1-AS1 were investigated in lung cancer cells. To uncover the molecular mechanism about AFAP1-AS1 function in lung cancer, we screened proteins that interact with AFAP1-AS1 by RNA pull down and the mass spectrometry analyses. AFAP1-AS1 was highly expressed in lung cancer clinical tissues and its expression was positively correlated with lung cancer patients’ poor prognosis. In vivo experiments confirmed that AFAP1-AS1 could promote lung cancer metastasis. AFAP1-AS1 promoted lung cancer cells migration and invasion through interacting with Smad nuclear interacting protein 1 (named SNIP1), which inhibited ubiquitination and degradation of c-Myc protein. Upregulation of c-Myc molecule in turn promoted the expression of ZEB1, ZEB2, and SNAIL gene, which ultimately enhanced epithelial to mesenchymal transition (EMT) and lung cancer metastasis. Understanding the molecular mechanism by which AFAP1-AS1 promotes lung cancer’s migration and invasion may provide novel therapeutic targets for lung cancer patients’ early diagnosis and therapy.

scholarly journals The mushroom Ganoderma lucidum suppresses breast-to-lung cancer metastasis through the inhibition of pro-invasive genes

2014 ◽  
Vol 44 (6) ◽  
pp. 2009-2015 ◽  
Author(s):  
JAGADISH LOGANATHAN ◽  
JIAHUA JIANG ◽  
AMANDA SMITH ◽  
ANDREJ JEDINAK ◽  
ANITA THYAGARAJAN-SAHU ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Ganoderma Lucidum ◽  
Cancer Metastasis ◽  
Lung Cancer Metastasis
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