A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer

[Epithelial-mesenchymal Transition: Biological Basis and Clinical Prospects of Lung Cancer Invasion, Metastasis, and Drug Resistance]

Lung cancer is the leading cause of cancer-related deaths worldwide, characterized by high incidence and mortality rates. The primary reasons for treatment failure in lung cancer patients are tumor invasion and drug resistance, particularly resistance to chemotherapeutic agents and epidermal growth factor receptor (EGFR) mutant targeted therapy, which considerably undermine the therapeutic outcomes for those with advanced lung cancer. Epithelial-mesenchymal transition (EMT) serves as a crucial biological process closely associated with physiological or pathological processes such as tissue embryogenesis, organogenesis, wound repair, and tumor invasion. Numerous studies have indicated that EMT, mediated through various signaling pathways, plays a pivotal role in the initiation, progression, and metastasis of lung cancer, while it is also closely associated with drug resistance in lung cancer cells. Therefore, research focusing on the molecular mechanisms and pathophysiology related to EMT can contribute to reversing drug resistance in drug treatment for lung cancer, thereby improving prognosis. This article reviews the progress in research on EMT in the invasion, metastasis, and drug resistance of lung cancer based on relevant domestic and international literature.

System level network data and models attack cancer drug resistance

Drug resistance is responsible for >90% of cancer related deaths. Cancer drug resistance is a system level network phenomenon covering the entire cell. Small-scale interactomes and signalling network models of drug resistance guide directed drug development. Recently, proteome-wide human interactome and signalling network data have become available, which have been extended by drug-target interactions, drug resistance-inducing mutations, as well as by several cancer and drug resistance-related multi-omics datasets. System level signalling network models have become available examining therapy resistance, performing in silico clinical trials, and conducting large, in silico drug combination screens. Drug resistance network data and models have become interoperable and reliable. These advances paved the road for building proteome-wide drug resistance models.

Cancer drug resistance as learning of signaling networks

Drug resistance is a major cause of tumor mortality. Signaling networks became useful tools for driving pharmacological interventions against cancer drug resistance. Signaling datasets now cover the entire human cell. Recently, network adaptation became understood as a learning process. We review rapidly increasing evidence showing that the development of cancer drug resistance can be described as learning of signaling networks. During drug adaptation, the network forgets drug-affected pathways by desensitization and relearns by strengthening alternative pathways. Thus, resistant cancer cells develop a drug resistance memory. We show that all key players of cellular learning (i.e., IDPs, protein translocation, microRNAs/lncRNAs, scaffolding proteins and epigenetic/chromatin memory) have important roles in the development of cancer drug resistance. Moreover, all of them are central components of the epithelial-mesenchymal transition leading to metastases and resistance. Phenotypic plasticity was recently listed as a hallmark of cancer. We review how network plasticity induces rare, pre-existent drug-resistant cells in the absence of drug treatment. Key network methods assessing the development of drug resistance and network pharmacological interventions against drug resistance are summarized. Finally, we highlight the class of cellular memory drugs affecting cellular learning and forgetting, and we summarize current challenges to prevent or break drug resistance using network models.

LncRNA ZEB1-AS1 promotes the proliferation and migration of non-small cell lung cancer by activating epithelial-mesenchymal transition with STAT3

Background

Lung cancer is the most common cause of cancer-related death worldwide. Non-small cell lung cancer (NSCLC) is the main type of lung cancer. Long non-coding RNA ZEB1 antisense 1 (lncRNA ZEB1-AS1) is derived from the promoter region of the transcriptional repressor ZEB1. In bladder cancer and glioblastoma, lncRNA ZEB1-AS1 promotes the expression of ZEB1 and cancer progression, and is associated with a poor prognosis. However, its role in NSCLC tumor progression remains unclear. This study aims to investigate its possible role in NSCLC tumor progression.

Methods

In this study, overexpressed and silenced lncRNA NSCLC cell lines of ZEB1-AS1 were constructed, epithelial-mesenchymal transition (EMT)-related proteins were detected, and the invasion and migration abilities of the cells were examined. Moreover, the radioimmunoprecipitation (RIP) assay was used to examine whether the increase in the STAT3 protein level caused by ZEB1-AS1 overexpression was based on the promotion of STAT3 messenger RNA (mRNA) translation by AUF1, and the dual-luciferase assay was used to verify the results.

Results

The overexpression of ZEB1-AS1 increased the protein levels of ZEB1 and STAT3, promoted the occurrence of EMT, and enhanced the invasion and migration abilities of lung cancer cells. The RIP results showed that both lncRNA ZEB1-AS1 and ZEB1 mRNA bind to AUF1, but no binding between AUF1 and STAT3 mRNA was detected. The bioinformatics analysis and the results of the dual-luciferase experiments showed that STAT3 was the target gene of microRNA 519d (miRNA519d), and that lncRNA ZEB1-AS1 also binds to miRNA519d.

Conclusions

LncRNA ZEB1-AS1 formed the competing endogenous RNA (ceRNA) regulatory network of lncRNA ZEB1-AS1~miRNA519d~STAT3 as the molecular sponge, and promoted the expression of STAT3, thus promoting the occurrence of EMT in lung cancer cells.

In Vitro and Vivo Experiments Revealing Astragalin Inhibited Lung Adenocarcinoma Development via LINC00582/miR-140-3P/PDPK1

This study aimed to explore the mechanism of the development of lung adenocarcinoma (LUAD) treated by astragalin. Transcriptome sequencing was performed to obtain the gene profile of LUAD treated by astragalin. Combining with bioinformatics analysis including differential gene screening, function enrichment analysis (gene ontology and KEGG), and ceRNA construction, we obtained the novel mechanism of lncRNA mediated miRNA/mRNA axis. Then, the cell experiments were performed to examine the role of lncRNA in cell proliferation, migration and invasion, and apoptosis for LUAD treated with astragalin. Moreover, the tumor formation in nude mice was carried out to detect the ceRNA mechanism in LUAD treated by astragalin in vivo. The lncRNA mediated ceRNA network was obtained, that is, LINC00852 LINC00582/miR-140-3p/PDPK1 played an important role in LUAD treated by astragalin. Function experiments indicated that si-LINC00852 inhibited LUAD cell proliferation, migration and invasion, and promoted cell apoptosis via miR-140-3p/PDPK1 (p < 0.05, p < 0.01). The animal experiments further confirmed that si-LINC00852 inhibited tumor growth through miR-140-3p/PDPK1 in vivo. Conversely, this study provides comprehensive insights into the diagnostic and therapeutic implications of LINC00582 in LUAD, LINC00582 mediated miR-140-3p/PDPK1 axis was the novel drug target of astragalin for treating LUAD.

Has_circ_0002360 promotes the progression of lung adenocarcinoma by activating miR-762 and regulating PODXL expression

Background

Circular RNAs (circRNAs) have been found to be linked to cancer progression and metastasis, but there is not much known about their connection to lung adenocarcinoma (LAC). In the previous study reported by our group, has_circ_0002360 was highly expressed in LAC tissues. The goal of this study was to investigate the potential impact of has_circ_0002360 in LAC.

Methods

Bioinformatics software, TargetScan, and miRanda were used to study the interactions of RNAs. Luciferase reporter assays further confirmed their relationship. The relative expression of has_circ_0002360 in 122 patients and four cell lines of the lung were obtained using real-time qualitative polymerase chain reaction (qRT-PCR). The target gene podocalyxin-like (PODXL) expression was confirmed by immunohistochemistry (IHC) in ten pairs of clinical samples. Then, cell counting kit-8 (CCK8), wound healing, and transwell experiments were applied to examine cell growth, migration, and infection-induced cell invasion. LAC cell lines were infected, and the process was monitored by examination of the related epithelial-mesenchymal transition (EMT) proteins.

Results

The resulting data indicated that has_circ_0002360 and PODXL were overexpressed in LAC tissues, whereas miR-762 expression was repressed. The reduction of has_circ_0002360 or upregulation of miR-762 mitigated the proliferation, migration, invasion of LAC cells. Mechanistically, has_circ_0002360 upregulated PODXL expressions by targeting miR-762 to promote LAC progression.

Conclusions

In general, the has_circ_0002360/miR-762/PODXL axis affected the progress of LAC. The results of our study identified has_circ_0002360 as a novel oncogenic RNA in LAC.

LncRNA PTENP1/miR-21/PTEN Axis Modulates EMT and Drug Resistance in Cancer: Dynamic Boolean Modeling for Cell Fates in DNA Damage Response

It is well established that microRNA-21 (miR-21) targets phosphatase and tensin homolog (PTEN), facilitating epithelial-to-mesenchymal transition (EMT) and drug resistance in cancer. Recent evidence indicates that PTEN activates its pseudogene-derived long non-coding RNA, PTENP1, which in turn inhibits miR-21. However, the dynamics of PTEN, miR-21, and PTENP1 in the DNA damage response (DDR) remain unclear. Thus, we propose a dynamic Boolean network model by integrating the published literature from various cancers. Our model shows good agreement with the experimental findings from breast cancer, hepatocellular carcinoma (HCC), and oral squamous cell carcinoma (OSCC), elucidating how DDR activation transitions from the intra-S phase to the G2 checkpoint, leading to a cascade of cellular responses such as cell cycle arrest, senescence, autophagy, apoptosis, drug resistance, and EMT. Model validation underscores the roles of PTENP1, miR-21, and PTEN in modulating EMT and drug resistance. Furthermore, our analysis reveals nine novel feedback loops, eight positive and one negative, mediated by PTEN and implicated in DDR cell fate determination, including pathways related to drug resistance and EMT. Our work presents a comprehensive framework for investigating cellular responses following DDR, underscoring the therapeutic potential of targeting PTEN, miR-21, and PTENP1 in cancer treatment.

Exosomal microRNAs in lung cancer: a narrative review

Background and Objective

Exosomes are nanoscale extracellular vesicles secreted by cells, which can release bioactive macromolecules, such as microRNA (miRNA) to receptor cells. Exosomes can efficiently penetrate various biological barriers which mediate intercellular communication. MiRNA are a class of non-coding RNA that primarily regulate messenger RNA (mRNA) at the post-transcriptional level. MiRNA is abundant in exosomes, which plays an important role by being transported and released through exosomes secreted by lung cancer cells. This review aims to elucidate the roles of exosome-derived miRNAs in lung cancer.

Methods

We focused on the roles of exosome-derived miRNAs in cancer occurrence and development, including angiogenesis, cell proliferation, invasion, metastasis, immune escape, drug resistance, and their clinical value as new diagnostic and prognostic markers for lung cancer.

Key Content and Findings

Exosomal miRNA can not only affect angiogenesis of lung cancer, induce epithelial-mesenchymal transformation, and promote reprogramming of tumor microenvironment, but also affect immune regulation and drug resistance transmission and participate in regulating lung cancer cell proliferation. Therefore, understanding the regulatory roles of exosomal miRNAs in tumor invasion and metastasis can provide new ideas for the treatment of lung cancer.

Conclusions

Exosomal miRNA can provide some unique ideas on how to improve the efficiency of diagnosis and treatment of lung cancer in the future. Targeting tumor-specific exosomal miRNA represents a new strategy for clinical treatment of lung cancer, which can provide potential non-invasive biomarkers in the early diagnosis of lung cancer. Investigation of the involvement of exosomal miRNAs in the occurrence and progression of tumors can yield new opportunities for the clinical diagnosis and treatment of lung cancer.

A risk score based on polyamine metabolism and chemotherapy-related genes predicts prognosis and immune cells infiltration of lung adenocarcinoma

We aimed to explore whether the genes associated with both platinum-based therapy and polyamine metabolism could predict the prognosis of LUAD. We searched for the differential expression genes (DEGs) associated with platinum-based therapy, then we interacted them with polyamine metabolism-related genes to obtain hub genes. Subsequently, we analysed the main immune cell populations in LUAD using the scRNA-seq data, and evaluated the activity of polyamine metabolism of different cell subpopulations. The DEGs between high and low activity groups were screened to identify key DEGs to establish prognostic risk score model. We further elucidated the landscape of immune cells, mutation and drug sensitivity analysis in different risk groups. Finally, we got 10 hub genes associated with both platinum-based chemotherapy and polyamine metabolism, and found that these hub genes mainly affected signalling transduction pathways. B cells and mast cells with highest polyamine metabolism activity, while NK cells were found with lowest polyamine metabolism activity based on scRNA-seq data. DEGs between high and low polyamine metabolism activity groups were identified, then 6 key genes were screened out to build risk score, which showed a good predictive power. The risk score showed a universal negative correlation with immunotherapy checkpoint genes and the cytotoxic T cells infiltration. The mutation rates of EGFR in low-risk group was significantly higher than that of high-risk group. In conclusion, we developed a risk score based on key genes associated with platinum-based therapy and polyamine metabolism, which provide a new perspective for prognosis prediction of LUAD.

LINC01559 promotes lung adenocarcinoma metastasis by disrupting the ubiquitination of vimentin

BACKGROUND

Distant metastasis is the major cause of lung adenocarcinoma (LUAD)-associated mortality. However, molecular mechanisms involved in LUAD metastasis remain to be fully understood. While the role of long non-coding RNAs (lncRNAs) in cancer development, progression, and treatment resistance is being increasingly appreciated, the list of dysregulated lncRNAs that contribute to LUAD pathogenesis is also rapidly expanding.

METHODS

Bioinformatics analysis was conducted to interrogate publicly available LUAD datasets. In situ hybridization and qRT-PCR assays were used to test lncRNA expression in human LUAD tissues and cell lines, respectively. Wound healing as well as transwell migration and invasion assays were employed to examine LUAD cell migration and invasion in vitro. LUAD metastasis was examined using mouse models in vivo. RNA pulldown and RNA immunoprecipitation were carried out to test RNA-protein associations. Cycloheximide-chase assays were performed to monitor protein turnover rates and Western blotting was employed to test protein expression.

RESULTS

The expression of the lncRNA LINC01559 was commonly upregulated in LUADs, in particular, in those with distant metastasis. High LINC01559 expression was associated with poor outcome of LUAD patients and was potentially an independent prognostic factor. Knockdown of LINC01559 diminished the potential of LUAD cell migration and invasion in vitro and reduced the formation of LUAD metastatic lesions in vivo. Mechanistically, LINC01559 binds to vimentin and prevents its ubiquitination and proteasomal degradation, leading to promotion of LUAD cell migration, invasion, and metastasis.

CONCLUSION

LINC01559 plays an important role in LUAD metastasis through stabilizing vimentin. The expression of LINC01559 is potentially an independent prognostic factor of LUAD patients, and LINC01559 targeting may represent a novel avenue for the treatment of late-stage LUAD.