Upregulation of SLC25A1 by MAZ reprograms fatty acid synthesis and fuels LUAD malignancy.

Previous studies have shown that asthma is a risk factor for lung cancer, while the mechanisms involved remain unclear. We attempted to further explore the association between asthma and non-small cell lung cancer (NSCLC) via bioinformatics analysis. We obtained GSE143303 and GSE18842 from the GEO database. Lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) groups were downloaded from the TCGA database. Based on the results of differentially expressed genes (DEGs) between asthma and NSCLC, we determined common DEGs by constructing a Venn diagram. Enrichment analysis was used to explore the common pathways of asthma and NSCLC. A protein-protein interaction (PPI) network was constructed to screen hub genes. KM survival analysis was performed to screen prognostic genes in the LUAD and LUSC groups. A Cox model was constructed based on hub genes and validated internally and externally. Tumor Immune Estimation Resource (TIMER) was used to evaluate the association of prognostic gene models with the tumor microenvironment (TME) and immune cell infiltration. Nomogram model was constructed by combining prognostic genes and clinical features. 114 common DEGs were obtained based on asthma and NSCLC data, and enrichment analysis showed that significant enrichment pathways mainly focused on inflammatory pathways. Screening of 5 hub genes as a key prognostic gene model for asthma progression to LUAD, and internal and external validation led to consistent conclusions. In addition, the risk score of the 5 hub genes could be used as a tool to assess the TME and immune cell infiltration. The nomogram model constructed by combining the 5 hub genes with clinical features was accurate for LUAD. Five-hub genes enrich our understanding of the potential mechanisms by which asthma contributes to the increased risk of lung cancer.

The development of agriculture in the New World has been a topic of prominent historic interest, but one that has ignored some regions in favor of others. The woodlands of Eastern North America have felt this bias in the investigation of agricultural origins, but this has not prevented the development of theories to explain the emergence of a complex of indigenous agricultural plants in the region. Data collection and technological advances have in large part validated these theories, creating a model for domestication. By emphasizing farming over other cultural practices, however, these theories lack explanatory power with regards to the domestication of some plants indigenous to the region, such as Chenopodium berlandieri Moq. As one of the predominant plants of the Eastern Agricultural Complex, investigation of Chenopodium berlandieri supports alternative possibilities for plant use and adoption, in addition to or separate from agriculture. Based on ethnographic and archaeological evidence, it seems likely that alternative aspects of this plant were a driving force in both its initial use and its continued cultural value to the peoples of the Eastern Woodlands. Weedy plants, such as those utilized in Eastern North America, have a special relationship with human populations. That these same plants have a high proportion of active chemical compounds that are useful for medicine and food preservation suggests that a reevaluation of traditional perspectives of agricultural development is necessary. Any holistic understanding of plant use in the Eastern Woodlands should consider all possible cultural values in considering the nature of human-plant interaction.

Overexpression of lncRNA A2M-AS1 inhibits cell growth and aggressiveness via regulating the miR-587/bone morphogenetic protein 3 axis in lung adenocarcinoma.

Lung cancer is the leading cause of cancer-related death worldwide despite the success of therapies targeting oncogenic drivers and immune-checkpoint inhibitors. Although metabolic enzymes offer additional targets for therapy, the precise metabolic proteome of lung adenocarcinomas is unknown, hampering its clinical translation. Herein, we used Reverse Phase Protein Arrays to quantify the changes in enzymes of glycolysis, oxidation of pyruvate, fatty acid metabolism, oxidative phosphorylation, antioxidant response and protein oxidative damage in 128 tumors and paired non-tumor adjacent tissue of lung adenocarcinomas to profile the proteome of metabolism. Steady-state levels of mitochondrial proteins of fatty acid oxidation, oxidative phosphorylation and of the antioxidant response are independent predictors of survival and/or of disease recurrence in lung adenocarcinoma patients. Next, we addressed the mechanisms by which the overexpression of ATPase Inhibitory Factor 1, the physiological inhibitor of oxidative phosphorylation, which is an independent predictor of disease recurrence, prevents metastatic disease. We highlight that IF1 overexpression promotes a more vulnerable and less invasive phenotype in lung adenocarcinoma cells. Finally, and as proof of concept, the therapeutic potential of targeting fatty acid assimilation or oxidation in combination with an inhibitor of oxidative phosphorylation was studied in mice bearing lung adenocarcinomas. The results revealed that this therapeutic approach significantly extended the lifespan and provided better welfare to mice than cisplatin treatments, supporting mitochondrial activities as targets of therapy in lung adenocarcinoma patients.

<p>Supplementary Fig. 1. PAK1 confers erlotinib resistance in lung adenocarcinoma cells regardless of EGFR mutation Supplementary Fig. 2. The optimal concentration of gefitinib was obtained from the dose-dependent experiments Supplementary Fig. 3. PAK1 transcription is regulated by the PI3K/AKT/C/EBP-β /miR-145 cascades and PAK1 targeted by miR-145 may confer PAK1-mediated TKI resistance in EGFR-wild-type cells Supplementary Fig. 4. PAK1 modulates Mcl-1 protein stability via phosphorylation of Mcl-1 at Ser-159. Supplementary Fig. 5. The association of PAK1 and E-cadherin mRNA expression with overall survival (OS) and relapse free survival (RFS) in lung adenocarcinoma patients. Supplementary Table 1. Relationships of PAK1 and E-cadherin mRNA levels with clinico-pathological parameters, and the association between PAK1 and E-caherin mRNA levels in lung adenocarcinoma patients. Supplementary Table 2. The association of PAK1 and E-cadherin mRNA level with the response to TKI therapy in lung adenocarcinoma patients. Supplementary Table 3. Cox regression analysis for the prognostic value of PAK1 and E-cadherin mRNA levels on OS and RFS in lung adenocarcinoma patients.</p>

<p>Supplementary Fig. 1. PAK1 confers erlotinib resistance in lung adenocarcinoma cells regardless of EGFR mutation Supplementary Fig. 2. The optimal concentration of gefitinib was obtained from the dose-dependent experiments Supplementary Fig. 3. PAK1 transcription is regulated by the PI3K/AKT/C/EBP-β /miR-145 cascades and PAK1 targeted by miR-145 may confer PAK1-mediated TKI resistance in EGFR-wild-type cells Supplementary Fig. 4. PAK1 modulates Mcl-1 protein stability via phosphorylation of Mcl-1 at Ser-159. Supplementary Fig. 5. The association of PAK1 and E-cadherin mRNA expression with overall survival (OS) and relapse free survival (RFS) in lung adenocarcinoma patients. Supplementary Table 1. Relationships of PAK1 and E-cadherin mRNA levels with clinico-pathological parameters, and the association between PAK1 and E-caherin mRNA levels in lung adenocarcinoma patients. Supplementary Table 2. The association of PAK1 and E-cadherin mRNA level with the response to TKI therapy in lung adenocarcinoma patients. Supplementary Table 3. Cox regression analysis for the prognostic value of PAK1 and E-cadherin mRNA levels on OS and RFS in lung adenocarcinoma patients.</p>

Although the use of osimertinib can significantly improve the survival time of lung adenocarcinoma (LUAD) patients with epithelial growth factor receptor mutation, eventually drug resistance will limit the survival benefit of most patients. This study aimed to develop a novel prognostic predictive signature based on genes associated with osimertinib resistance. The differentially expressed genes (DEGs) associated with osimertinib resistance in LUAD were screened from Gene Expression Omnibus datasets and The Cancer Genome Atlas datasets. Multivariate cox regression was used to establish a prognostic signature, and then a nomogram was developed to predict the survival probability of LUAD patients. We used ROC curve and DCA curve to evaluate its clinical prediction accuracy and net benefit.In addition, the differentially expressed genes significantly associated with prognosis were selected for immune infiltration analysis and drug sensitivity analysis, and their roles in the progression of lung adenocarcinoma were verified by in vitro experiments. Our evaluation results indicated that the new nomogram had higher clinical prediction accuracy and net benefit value than the TN nomogram. Further analysis showed that patients with low STRIP2 expression had a higher level of immune response, and may be more likely to benefit from immune checkpoint inhibitors and conventional antitumor drugs. This may help to select more precise and appropriate therapy for LUAD patients with osimertinib resistance. Furthermore, in vitro experiments showed that STRIP2 promoted the LUAD cells proliferation, migration and invasion. This further demonstrates the importance of this gene signature for prognostic prediction. We developed a reliable prognostic model based on DEGs associated with osimertinib resistance and screened for biomarker that can predict the immune response in LUAD patients, which may help in the selection of treatment regimens after osimertinib resistance.

Objective: Accumulating literatures suggested that long non-coding RNAs (lncRNAs) were involved in tumorigenesis and cancer progression in lung adenocarcinoma (LUAD). However, the precise regulatory mechanism of lncRNA Lung cancer-associated transcript 1 (LUCAT1) in LUAD is not well defined. In this study, we aimed to investigate the biological function and mechanism of lncRNA LUCAT1 in regulating tumor migration and glycolysis of LUAD.Methods: High throughput sequencing was performed to identify differentially expressed lncRNAs between LUAD patients and healthy controls. The expression levels of LUCAT1 in LUAD clinical specimens or cell lines were evaluated by In situ hybridization (ISH) and quantitative Real-Time Polymerase Chain Reaction (qRT-PCR). Functional experiments, including wound-healing, transwell invasion assays, glucose absorption, lactate metabolism and tumor xenograft experiments were conducted to identify the biological functions of LUCAT1 in LUAD. Silencing of LUCAT1, over-expression of LUCAT1 and miR-4316 were generated in LUAD cell lines to verify the regulatory mode of LUCAT1-mir-4316-VEGFA axis.Results: Our findings revealed that lncRNA LUCAT1 was significantly up-regulated in LUAD serum exosomes, tumor tissues, and LUAD cells in comparison with corresponding controls. Receiver operating characteristic curve (ROC) analysis indicated that the area under the curve (AUC) value of serum exosomal LUCAT1 reached 0.852 in distinguishing LUAD patients from healthy individuals. High expression of LUCAT1 in LUAD patient tissues was associated with enhanced Lymph Node Metastasis (LNM), advanced Tumor Node Metastasis (TNM) stage and poorer clinical outcome in LUAD patients. Knockdown of LUCAT1 inhibited LUAD cell metastasis and glycolysis in vitro as well as tumor metastasis in vivo, while overexpression of LUCAT1 induced a promoted LUAD metastasis and glycolysis. Furthermore, mechanistic investigations revealed that LUCAT1 elevated LUAD cell metastasis and glycolysis by sponging miR-4316, which further led to the upregulation of VEGFA. Finally, the regulatory axis LUCAT1-miR-4316-VEGFA was verified in LUAD.Conclusion: Our present research suggested that LUCAT1 facilitate LUAD cell metastasis and glycolysis via serving as a competing endogenous RNA to regulate miR-4316/VEGFA axis, which provided a novel diagnostic marker and therapeutic target for LUAD patients.

Lung adenocarcinoma (LUAD) patients with elevated breast cancer susceptibility gene 1 (BRCA1) expression had markedly worse overall survival and progression-free survival compared to those with reduced BRCA1 levels. In contrast, BRCA1 expression did not correlate with survival outcomes in squamous cell carcinoma patients. The overexpression of BRCA1 was an independent risk factor for LUAD and was indicative of an immune-suppressive tumor microenvironment.

The centromere-associated protein CENPU promotes cell proliferation, migration, and invasiveness in lung adenocarcinoma

Lung cancer is the most common type of cancer, accounting for more than half of all cancer cases, with lung adenocarcinoma (LUAD) representing over half of lung cancer patients. Currently, the 5-year survival rate for metastatic LUAD patients remains low and there is an urgent need for new biomarkers as targets for targeted therapy. Go-Ichi-Ni-San 1 (GINS1), an important member of the GINS family, is closely related to the occurrence and development of human malignant tumors. This study aims to explore the role of GINS1 in glycolysis, proliferation, and metastasis of LUAD cells and the related molecular mechanisms. The expression of GINS1 was analysed using bioinformatics between LUAD patients and healthy controls. The expression levels of GINS1 in LUAD and adjacent tissues were detected by immunohistochemistry and Western blot. Western blot and real-time fluorescence quantitative polymerase chain reaction (qRT-PCR) were used to detect the expression of GINS1 in LUAD cell lines A549, SK-LU-1, Calu-3, H1299 and BEAS-2B. Stably knockdown GINS1 in A549 cells and its negative control cell line, as well as stably overexpress GINS1 in H1299 cells and its negative control cell line, were constructed by lentiviral transduction. Colony formation test was used to detect cell proliferation. Scratch test was used to detect cell migration. Transwell test was used to detect cell invasion, and the test kits were used to detect glucose consumption and lactate production. The expression levels of glycolysis-related proteins, Notch signaling pathway proteins and phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR) signaling pathway proteins were detected by Western blot. The Notch receptor agonist Jagged1 was added to cells from the shGINS1-A549 group and the Notch receptor inhibitor LY3039478 was added to cells from the GINS1-OE-H1299 group for the regression assay. The expression of GINS1 was up-regulated in LUAD patients, tissues and cell lines, and correlated with overall survival (P<0.05). Knockdown of GINS1 significantly inhibited the proliferation, migration and invasion of A549 cells (P<0.05), while overexpression of GINS1 significantly enhanced the proliferation, migration and invasion of H1299 cells (P<0.05). Furthermore, knockdown of GINS1 resulted in reduced glucose consumption, reduced lactate production, and reduced expression levels of glycolytic-related proteins in A549 cells (P<0.05); overexpression of GINS1 enhanced glycolytic level in H1299 cells (P<0.05). The expression levels of Notch1, Notch3, phosphorylated-PI3K (p-PI3K), phosphorylated-AKT (p-AKT) and phosphorylated-mTORC1 (Ser2448)[p-mTORC1 (Ser2448)] in A549 cells were significantly decreased by GINS1 knockdown (P<0.05), while the expression levels of PI3K, AKT, mTOR and p-mTORC2 (Ser2481) were not significantly changed (P>0.05). Overexpression of GINS1 increased the levels of Notch1, Notch3 and PI3K/AKT/mTORC1 pathway phosphorylated proteins in H1299 cells (P<0.05). Jagged1 significantly reversed the inhibition of glycolysis, proliferation and metastasis induced by GINS1 knockdown in A549 cells (P<0.05), and LY3039478 significantly inhibited the enhancement of glycolysis, proliferation and metastasis induced by GINS1 overexpression in H1299 cells (P<0.05). The expression of GINS1 enhances the expression of Notch1 and Notch3 receptors, and then phosphorylates and activates the downstream PI3K/AKT/mTORC1 signaling pathway to enhance the glycolysis, proliferation and metastasis of LUAD cells.

Oxidative stress gene signature construction to identify subtypes and prognosis of patients with lung adenocarcinoma

Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

6-Phosphogluconate dehydrogenase promotes glycolysis and fatty acid synthesis by inhibiting the AMPK pathway in lung adenocarcinoma cells

Lung adenocarcinoma (LUAD) is the most common type of lung cancer, accounting for approximately 35–40% of lung cancers, and the overall survival time of patients with LUAD is still very poor. B cells are important effector cells of adaptive immunity, and B-cell infiltration increases in various tumors. The role of B cells in LUAD is still largely unknown. Therefore, it is particularly important to clarify the role of B cells in LUAD. GSE164983, GSE50081, GSE37745 and GSE30219 were obtained from the GEO database. The TCGA-LUAD dataset was obtained from the TCGA database. UMAP was used to perform clustering descending and subgroup identification on single-cell RNA-sequencing (scRNA-seq) data to obtain B-cell markers. The TCGA cohort was used to obtain differentially expressed genes (DEGs). B-cell-related differentially expressed genes (BRGs) were identified through the intersection of B-cell markers and DEGs. The LASSO method was used to identify characteristic genes of BRGs and construct a prognostic risk model. LUAD patients were divided into high-risk and low-risk groups based on risk scores, and the immune landscape of the two groups was evaluated. We also analyzed the differences in clinical characteristics, mutations, immunotherapy, and drug sensitivity between the two groups. Thirty BRGs were obtained, and 6 characteristic genes were identified. Based on the characteristic genes, a prognostic risk model was constructed. According to the prognostic risk model, LUAD patients were divided into two groups: high-risk group and low-risk group. Patients in the high-risk group had worse outcomes and shorter survival times. Low-risk patients had better survival, while patients with high TNM stage accounted for a greater proportion of patients in the high-risk group. In addition, high-risk patients had a greater probability of mutation and worse immunotherapy response. Finally, we found different susceptibility profiles between the high-risk and low-risk groups. The prognostic risk model built based on the BRGs had good predictive performance, providing a new perspective on the prognosis and immunotherapy of LUAD patients and a new reference for LUAD research.