Lentivirus-mediated disintegrin and metalloproteinase 17 RNA interference reversed the acquired resistance to gefitinib in lung adenocarcinoma cells in vitro

Role of Epiregulin in Lung Tumorigenesis and Therapeutic Resistance

Epidermal growth factor (EGF) signaling regulates multiple cellular processes and plays an essential role in tumorigenesis. Epiregulin (EREG), a member of the EGF family, binds to the epidermal growth factor receptor (EGFR) and ErbB4, and it stimulates EGFR-related downstream pathways. Increasing evidence indicates that both the aberrant expression and oncogenic function of EREG play pivotal roles in tumor development in many human cancers, including non-small cell lung cancer (NSCLC). EREG overexpression is induced by activating mutations in the EGFR, KRAS, and BRAF and contributes to the aggressive phenotypes of NSCLC with oncogenic drivers. Recent studies have elucidated the roles of EREG in a tumor microenvironment, including the epithelial-mesenchymal transition, angiogenesis, immune evasion, and resistance to anticancer therapy. In this review, we summarized the current understanding of EREG as an oncogene and discussed its oncogenic role in lung tumorigenesis and therapeutic resistance.

Pan-cancer analysis of ADAMs: A promising biomarker for prognosis and response to chemotherapy and immunotherapy

Background: Members of a disintegrin and metalloproteinase (ADAM) family play a vital role in cancer development. However, a comprehensive analysis of the landscape of the ADAM family in pan-cancer remains to be performed.

Methods: The correlation of the expression level and prognostic value with ADAMs in a pan-cancer cohort and the relationship between ADAMs and the stemness score, tumour microenvironment (TME), chemotherapy-related drug sensitivity, immune subtype, and immunotherapy outcome were investigated.

Results: ADAMs were differentially expressed between tumour and para-carcinoma tissues in the pan-cancer cohort, and the expression of ADAMs was significantly correlated with patient prognosis. Furthermore, ADAMs were significantly correlated with the stromal score and immune score based on the TME analysis. Additionally, ADAMs were also correlated with DNAss and RNAss in the pan-cancer cohort. On investigating the CellMiner database, ADAMs were revealed to be significantly correlated with the sensitivity of various drugs, including raloxifene and tamoxifen. Moreover, in the IMvigor210 and GSE78220 cohorts, ADAMs were correlated with immunotherapy response and immune activation genes. Furthermore, quantitative real-time polymerase chain reaction (qRT-PCR) and immunohistochemistry (IHC) were utilised to determine the differential level of ADAM9 in cancer and para-carcinoma tissues in patients’ samples.

Conclusion: This study elucidates the importance of ADAMs in cancer progression and lays a foundation for further exploration of ADAMs as potential pan-cancer targets.

Trilobatin Induces Apoptosis and Attenuates Stemness Phenotype of Acquired Gefitinib Resistant Lung Cancer Cells via Suppression of NF-κB Pathway

Trilobatin is a common type of flavonoids compounds derived from Lithocarpus polystachyus Rehd leaves. Previous report suggests that trilobatin was potentially involved in pro-and anticancer, antioxidative and anti-hyperglycemic activities. Here, we investigated the anticancer efficiency of trilobatin on gefitinib resistant lung cancer cells. In this study, MTT assays, EdU incorporation assays, DAPI staining, tumor sphere formation assays, immunofluorescent staining and Western blot analysis were performed to explore the functional role of trilobatin on gefitinib resistant lung cancer cells. The results showed that trilobatin inhibits proliferation of gefitinib resistant lung cancer cells. In addition, the proportions of apoptotic cells were increased along with down-regulated expression levels of Bcl-2 and mitochondrial Cytochrome C while up-regulated Bax, Cleaved Caspase-3, -9, and cytosolic Cytochrome C expression. Moreover, trilobatin decreased tumor sphere formation and expression levels of multiple stemness markers (ALDH1, CD133, Nanog, and ABCG2) in gefitinib resistant lung cancer cells. Furthermore, investigation of the mechanism indicated that trilobatin suppressed activity of NF-κB via decreasing constitutive phosphorylation of NF-κB p65 and IκB-α in gefitinib resistant lung cancer cells. All these results indicate that trilobatin induces apoptosis and attenuates stemness phenotype of gefitinib resistant lung cancer cells, involved with, or partly, the suppression of NF-κB activity.

Identification of a potential target for treatment of squamous cell carcinoma of the tongue: follistatin

Squamous cell carcinoma (SCC) of the tongue is the most common oral cancer and is prone to develop regional lymph nodes and distant metastases. Reliable and stable therapeutic targets can improve the curative effect and reduce toxic side effects caused by traditional treatments such as surgery, radiotherapy, and chemotherapy. We have analysed three sets of series of functional gene expression of SCC of the tongue from gene expression omnibus (GEO) datasets, and 154 common differentially expressed genes (DEG) between SCC of the tongue and the corresponding normal tissues were screened. Further bioinformatics research that was based on the data from the Cancer genome atlas, Gene ontology, and the Kyoto encyclopaedia of genes and genomes indicated that the increased expression of follistatin might be correlated with a poor prognosis in these patients. By assay of colony formation, reverse transcription polymerase chain reaction (RT-PCR), western blotting, immunohistochemical staining, and lentivirus transfection, we confirmed that downregulation of follistatin inhibited the proliferation of SCC cells in the tongue.

Bioinformatic screening and experimental analysis identify SFRP1 as a prognostic biomarker for tongue squamous cell carcinomas

OBJECTIVE

To provide a prognostic biomarker and a potential therapeutic target for tongue squamous cell carcinoma (TSCC).

DESIGN

Screening the prognostic genes of TSCC by bioinformatics, and verifying the correlation between the above genes and the prognosis of TSCC by experiments.

RESULTS

Twenty-four common differentially expressed genes (DEGs) between TSCC and the corresponding normal tissues were screened from four sets of TSCC functional gene expression series in Gene Expression Omnibus (GEO) datasets. Further bioinformatics research based on the data from The Cancer Genome Atlas (TCGA), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) indicate that the low expression of SFRP1 might be correlated with poor prognosis of TSCC patients. By colony formation assay, reverse transcription polymerase chain reaction (RT-PCR), western blotting, immunohistochemical staining, flowcytometry, lentivirus transfection and animal experiments, it was confirmed that the low level of SFRP1 expression correlated with poor prognosis of TSCC patients.

CONCLUSION

This study identified SFRP1 as a novel prognostic biomarker and a potential therapeutic target for TSCC.

Polymer nanofiber-based microchips for EGFR mutation analysis of circulating tumor cells in lung adenocarcinoma

Background

Circulating tumor cells (CTCs) detection, an approach considered to be “liquid biopsy”, is a potential alternative method in clinical use for early diagnosis of solid tumor progression.

Methods

In this study, we developed a poly (lactic-co-glycolic acid) (PLGA) – nanofiber (PN)-NanoVelcro chip as an efficient device for simple and rapid capture of CTCs from peripheral blood. We evaluated the device performance by assessing the capture efficiency and purity. Single CTC was isolated via laser microdissection system for subsequent genetic analysis, with an aim to find the concordance of epidermal growth factor receptor (EGFR) mutations between tumor tissue and CTCs.

Results

PN-NanoVelcro chip exhibits great performance in capture efficiency and high purity. The genetic analysis results showed that most EGFR mutation in tumor tissue could also be detected in CTCs.

Conclusion

Compared to computed tomography image results, CTC detection can be implemented throughout the course of diseases and provides an accurate and earlier diagnosis of tumor progression, which make it possible for patients to acquire suitable and timely treatment.