Lung Squamous Cell Carcinoma Research Articles

SNAI1: a key modulator of survival in lung squamous cell carcinoma and its association with metastasis

BackgroundSnail family zinc finger 1 (SNAI1) has been implicated in cancer progression and prognosis across various malignancies. This study aims to elucidate the prognostic significance of SNAI1 expression in Lung Squamous Cell Carcinoma (LUSC) using data from The Cancer Genome Atlas (TCGA) database.MethodsSNAI1 expression levels in LUSC patients were stratified using X-tile software to establish optimal cut-off values. Kaplan-Meier survival analysis was performed to assess the impact of SNAI1 expression on overall survival (OS). Univariate and multivariate Cox regression analyses were conducted to evaluate the prognostic value of SNAI1, considering clinical parameters such as age, clinical stage, and TNM classification. Additionally, we explored the interaction between SNAI1 expression and metastatic status, and performed Gene Set Enrichment Analysis (GSEA) to investigate associated cellular pathways. Correlations between SNAI1 and immune checkpoint molecules were also examined.ResultsKaplan-Meier analysis revealed significant differences in OS among high, medium, and low SNAI1 expression groups (p < 0.001), with median survival times of 1.6, 3.0, and 5.8 years, respectively. Dichotomizing patients into high and low SNAI1 expression groups confirmed that high SNAI1 expression was associated with significantly poorer OS (p < 0.001). SNAI1 remained an independent prognostic factor in multivariate analysis. High SNAI1 expression correlated with poorer survival outcomes regardless of metastatic status, and the combination of high SNAI1 expression and metastasis resulted in the poorest survival. GSEA identified significant associations between SNAI1 and inflammatory, immune response pathways. Positive correlations were observed between SNAI1 and key immune checkpoint molecules, suggesting an interplay with immune checkpoint mechanisms.ConclusionsHigh SNAI1 expression is a robust prognostic indicator of poor survival in LUSC, independent of other clinical factors. Its association with immune checkpoint molecules highlights its potential as a therapeutic target. These findings underscore the prognostic and therapeutic relevance of SNAI1 in LUSC and possibly other cancers. Further research is warranted to explore targeted therapies against SNAI1.

The causal and mediation effect of chronic obstructive pulmonary disease on lung cancer subtypes: a two-sample mendelian randomization study.

This study aims to determine the causal effect of chronic obstructive pulmonary disease (COPD) on different subtypes of lung cancer and to investigate the mediation effects of COPD between smoking and the subtypes of lung cancer. The study utilized summary level data from genome-wide association studies. It extracted independent single nucleotide polymorphisms (SNP) to serve as instrumental variables (IV). We conducted two-sample MR analyses primarily using inverse-variance weighting, as well as MR-Egger and MR-PRESSO to establish and validate the causal impact of COPD on lung cancer subtypes. Additionally, multivariable MR analysis was employed to ascertain the mediating role of COPD between smoking and lung cancers. The two-sample MR analysis demonstrated that COPD is linked to an elevated risk of lung adenocarcinoma (OR: 1.48, 95% CI 1.35-1.61, p = 0.009) and squamous cell carcinoma (OR: 1.78, 95% CI 1.62-1.93, p = 0.001). Further, using multivariable MR, it was established that COPD mediates the causal effects of smoking on lung adenocarcinoma by 56.52% (95% CI 17.51-95.52%) and 63.61% (95% CI 38.31-88.92%) in lung squamous cell carcinoma. Our study found that COPD was a risk factor for developing both lung adenocarcinoma and squamous cell carcinoma. COPD also played a crucial role in mediating the causal effects of smoking on these two subtypes of lung cancer.

A novel approach to the analysis of Overall Survival (OS) as response with Progression-Free Interval (PFI) as condition based on the RNA-seq expression data in The Cancer Genome Atlas (TCGA)

BackgroundOverall Survival (OS) and Progression-Free Interval (PFI) as survival times have been collected in The Cancer Genome Atlas (TCGA). It is of biomedical interest to consider their dependence in pathway detection and survival prediction. We intend to develop novel methods for integrating PFI as condition based on parametric survival models for identifying pathways associated with OS and predicting OS.ResultsBased on the framework of conditional probability, we developed a family of frailty-based parametric-models for this purpose, with exponential or Weibull distribution as baseline. We also considered two classes of existing methods with PFI as a covariate. We evaluated the performance of three approaches by analyzing RNA-seq expression data from TCGA for lung squamous cell carcinoma and lung adenocarcinoma (LUNG), brain lower grade glioma and glioblastoma multiforme (GBMLGG), as well as skin cutaneous melanoma (SKCM). Our focus was on fourteen general cancer-related pathways. The 10-fold cross-validation was employed for the evaluation of predictive accuracy. For LUNG, p53 signaling and cell cycle pathways were detected by all approaches. Furthermore, three approaches with the consideration of PFI demonstrated significantly better predictive performance compared to the approaches without the consideration of PFI. For GBMLGG, ten pathways (e.g., Wnt signaling, JAK-STAT signaling, ECM-receptor interaction, etc.) were detected by all approaches. Furthermore, three approaches with the consideration of PFI demonstrated better predictive performance compared to the approaches without the consideration of PFI. For SKCM, p53 signaling pathway was detected only by our Weibull-baseline-based model. And three approaches with the consideration of PFI demonstrated significantly better predictive performance compared to the approaches without the consideration of PFI.ConclusionsBased on our study, it is necessary to incorporate PFI into the survival analysis of OS. Furthermore, PFI is a survival-type time, and improved results can be achieved by our conditional-probability-based approach.

Expression and significance of cystine transporter SLC7A11/xCT in early colorectal cancer specimens from endoscopic submucosal dissection.

The SLC7A11/xCT cystine transporter is intricately linked with ferroptosis. By mediating intracellular cystine flux, it regulates oxidative stress within neoplastic cells, thereby curtailing ferroptosis and influencing the emergence of colorectal cancer. This study aimed to gauge the SLC7A11/xCT expression across various tumorigenic stages in early colorectal adenocarcinoma tissues, shedding light on its specific role in the genesis of these early malignancies. Sixty specimens that underwent endoscopic submucosal dissection (ESD) resection with pathologic diagnosis of colorectal adenocarcinoma were collected. SLC7A11/xCT expression was pinpointed using immunohistochemistry, and correlations with the patients' clinical-pathological features were drawn. Additionally, a comprehensive bioinformatics assessment was undertaken to discern differential SLC7A11/xCT expressions across a spectrum of cancers. Immunohistochemical assessments unveiled a pronounced cytoplasmic SLC7A11/xCT expression, manifesting as a brownish-yellow hue, particularly in nascent colorectal cancer samples. Its expression was discernibly correlated with both patient gender and adenocarcinoma differentiation grade (P<0.05). Nevertheless, factors such as patient age, tumor localization, infiltration depth, diameter, adjacent adenoma histology, its major axis, and dysplasia degree bore no statistical significance with SLC7A11/xCT levels (P>0.05). Bioinformatics insights pointed to an upregulated SLC7A11/xCT expression across diverse malignancies, inclusive of colon adenocarcinoma, esophageal cancer, acute myeloid leukemia, lung squamous cell carcinoma, colorectal cancer, and endometrial cancer (P<0.05). Elevated SLC7A11/xCT expression marks early colorectal adenocarcinoma, with the intensity of this expression being intertwined with the patient's gender and the tumor's differentiation grade. It is postulated that colorectal cancer cells might amplify SLC7A11/xCT to stymie ferroptosis, thus fostering neoplastic proliferation, metastasis, and cellular stemness.

SEPT9: From pan-cancer to lung squamous cell carcinoma

BackgroundSEPT9 is a pivotal cytoskeletal GTPase that regulates diverse biological processes encompassing mitosis and cytokinesis. While previous studies have implicated SEPT9 in tumorigenesis and development; comprehensive pan-cancer analyses have not been performed. This study aims to systematically explore its role in cancer screening, prognosis, and treatment, addressing this critical gap.MethodsGene and protein expression data containing clinical information were obtained from public databases for pan-cancer analyses. Additionally, clinical samples from 90 patients with lung squamous cell carcinoma (LUSC) were used to further experimentally validate the clinical significance of SEPT9. In addition, the molecular docking tool was used to analyze the affinities between SEPT9 protein and drugs.ResultsSEPT9 is highly expressed in various cancers, and its aberrant expression correlates with genetic alternations and epigenetic modifications, leading to adverse clinical outcomes. Take LUSC as an example, additional dataset analyses and immunohistochemical experiments further confirm the diagnostic and prognostic values as well as the clinical relevance of the SEPT9 gene and protein. Functional enrichment, single-cell expression, and immune infiltration analyses revealed that SEPT9 promotes malignant tumor progression and modulates the immune microenvironments, enabling patients to benefit from immunotherapy. Moreover, drug sensitivity and molecular docking analyses showed that SEPT9 is associated with the sensitivity and resistance of multiple drugs and has stable binding activity with them, including Vorinostat and OTS-964. To harness its prognostic and therapeutic potential in LUSC, a mitotic spindle-associated prognostic model including SEPT9, HSF1, ARAP3, KIF20B, FAM83D, TUBB8, and several clinical characteristics, was developed. This model not only improves clinical outcome predictions but also reshapes the immune microenvironment, making immunotherapy more effective for LUSC patients.ConclusionThis is the first study to systematically analyze the role of SEPT9 in cancers and innovatively apply the mitotic spindle-associated model to LUSC, fully demonstrating its potential as a valuable biomarker for cancer screening and prognosis, and highlighting its application value in promoting immunotherapy and chemotherapy, particularly for LUSC.

A novel histopathological feature of spatial tumor-stroma distribution predicts lung squamous cell carcinoma prognosis.

We used a mathematical approach to investigate the quantitative spatial profile of cancer cells and stromain lung squamous cell carcinoma tissues and its clinical relevance. The study enrolled 132 patients with 3-5 cm peripheral lung squamous cell carcinoma, resected at the National Cancer Center Hospital East. We utilized machine learning to segment cancer cells and stroma on cytokeratin AE1/3 immunohistochemistry images. Subsequently, a spatial form of Shannon's entropy was employed to precisely quantify the spatial distribution of cancer cells and stroma. This quantification index was defined as the spatial tumor-stroma distribution index (STSDI). The patients were classified as STSDI-low and -high groups for clinicopathological comparison. The STSDI showed no significant association with baseline clinicopathological features, including sex, age, pathological stage, and lymphovascular invasion. However, the STSDI-low group had significantly shorter recurrence-free survival (5-years RFS: 49.5% vs. 76.2%, p < 0.001) and disease-specific survival (5-years DSS: 53.6% vs. 81.5%, p < 0.001) than the STSDI-high group. In contrast, the application of Shannon's entropy without spatial consideration showed no correlation with patient outcomes. Moreover, low STSDI was an independent unfavorable predictor of tumor recurrence and disease-specific death (RFS; HR = 2.668, p < 0.005; DSS; HR = 3.057, p < 0.005), alongside the pathological stage. Further analysis showed a correlation between low STSDI and destructive growth patterns of cancer cells within tumors, potentially explaining the aggressive nature of STSDI-low tumors. In this study, we presented a novel approach for histological analysis of cancer tissues that revealed the prognostic significance of spatial tumor-stroma distribution in lung squamous cell carcinoma.

Deubiquitylase USP31 Induces Autophagy and Promotes the Progression in Lung Squamous Cell Carcinoma Cells by Stabilizing E2F1 Expression.

Autophagy exerts a vital role in the progression of lung squamous cell carcinoma (LUSC). Ubiquitin-specific peptidase 31 (USP31) has recently been found to be involved in the development of a variety of cancers. However, whether USP31 modulates autophagy in LUSC remains unclear. This study revealed that high levels of USP31 were discovered in LUSC tissue samples employing the Gene Expression Profiling Interactive Analysis (GEPIA) database, quantitative real- time PCR (qRT-PCR), and Western blot analysis. Cell proliferation was tested via cell counting kit 8 (CCK-8) as well as colony formation, demonstrating that USP31-stable knockdown reduced cell viability. Immunofluorescence analysis illustrated that USP31 knockdown blocked the occurrence of LUSC autophagy. Meanwhile, USP31 has been shown to stabilize the expression of E2F transcription factor 1 (E2F1) through the proteasome pathway. Furthermore, overexpressed E2F1 effectively eliminated the effect of USP31 knockdown on LUSC cell proliferation and autophagy. In summary, this investigation proved that USP31 promoted LUSC cell growth and autophagy, at least in part by stabilizing E2F1 expression, which provided a potential therapeutic gene for the treatment of LUSC.

Exploring the prognostic and therapeutic value of HIF1A in lung adenocarcinoma

Lung adenocarcinoma (LUAD) remains a challenge within the realm of non-small cell lung cancer (NSCLC), demanding innovative diagnostic and therapeutic solutions. In this study, we systematically detected the correlation between the expression of hypoxia-induced factor 1A (HIF1A) and the clinical characteristics of LUAD, alongside lung squamous cell carcinoma (LUSC). Our bioinformatic analysis reveals that HIF1A mRNA expression is significantly upregulated in both LUAD and LUSC samples compared to non-tumorous lung tissues. The overexpression is positively correlated with increased copy number variation and negatively associated with promoter methylation. However, meta-analysis and survival analyses revealed a pronounced association between elevated HIF1A expression and poor clinical outcome specifically within the LUAD subset, with no such correlation evident in LUSC. Additionally, we explored the interplay between HIF1A expression, leukocyte infiltration, and the presence of immunosuppressive markers, revealing HIF1A's suppressive role in cytotoxicity against cancer cells. Furthermore, we performed in silico prediction to explore the correlations between HIF1A and its interacting proteins, associated pathways, glycolysis, and m6A modification, and the feasibility of targeting HIF1A with specific drugs. In summary, our study revealed the prognostic significance and therapeutic potential of HIF1A in LUAD.

Prognostic impact based on tumor diameter of pathological N1 lymph node metastases for non-small cell lung cancer.

The N parameter in the tumor-node-metastasis (TNM) classification of lung cancer is categorized according to the location of nodal metastasis, while that for some other cancers are classified according to the size and number of metastatic foci. In lung cancer, the impact of size of nodal metastasis on prognosis is unclear. This analysis aims to examine whether it is possible to subdivide the pathological N (pN) factor based on the tumor diameter of lymph node metastases. We studied 35 cases of adenocarcinoma and 26 cases of squamous cell carcinoma of the lung. The maximum diameter of lymph node metastasis was measured, and the relationship between the maximum diameter of lymph node metastases and prognosis was investigated. Squamous cell carcinoma cases had a significantly larger maximum tumor diameter of lymph node metastasis than adenocarcinoma cases (P=0.03). Based on receiver operating characteristic (ROC) curve results for the adenocarcinoma cases, we set 4 mm as a diameter cutoff value. The 5-year overall survival (OS) rate was 85.6% for patients with diameters ≤4 mm and 57.7% for those with diameters >4 mm; this difference was statistically significant (P=0.04). On univariate analysis using a Cox proportional hazards model, significant differences were observed in metastatic lymph node diameter (≤4 vs. >4 mm) (P=0.04), sex (P=0.04), and pathological T (pT) status (pT1 and 2 vs. pT3 and 4) (P=0.03). However, similar results were not obtained for patients with squamous cell carcinoma. The tumor diameter of pathological N1 lymph node metastases impacts the prognosis of patients with lung adenocarcinoma. If pathological N1 can be further subdivided according to tumor diameter of lymph node metastases, a more accurate prognosis may become possible. However, pathological type must be considered for staging in lung cancer. While the pN parameter for most cancers considers tumor size of lymph node metastasis, this does not apply to lung cancer.

An Integrated Immune-Related Bioinformatics Analysis in Lung Squamous Cell Carcinoma Patients

Through combined bioinformatics analysis, the goal of untrrec research was to develop and confirm the immune-related prognostic signature in LUSC (lung squamous cell carcinoma). We constructed an optimized prognostic risk model consisting of five PIR-lncRNAs (AC107884.1, LCMT1-AS1, AL163051.1, AC005730.3 and LINC02635). To evaluate and verify the prognostic value of the model, we subsequently conducted independent prognostic and mortality analysis on the prognostic risk model. Additionally, we conducted a distinct study of immune cell infiltration in the model among high- and low individuals. By using co-expression network analysis, we were able to identify 654 immune-related lncRNAs (IR-lncRNAs) and 18 prognostic IR-lncRNAs (PIR-lncRNAs) and derive 546 differently expressed genes and 21 immune-related genes. We proved that the impact of immunotherapy in individuals in the high-risk category may be lessened through the study of immune escape and immunotherapy. Our findings elucidate the intrinsic molecular biological link between the pathogenic genes of LUSC and immune cells, which has important exploration and reference significance for the precise and potential immunotherapy of LUSC patients, especially for high-risk patients.

Expression and prognostic value of cell-cycle-associated genes in lung squamous cell carcinoma.

Lung cancer continues to be a prevalent cause of cancer-related deaths worldwide, with lung squamous carcinoma (LUSC) being a significant subtype characterized by comparatively low survival rates. Extensive molecular studies on LUSC have been conducted; however, the clinical importance of cell-cycle-associated genes has rarely been examined. This study aimed to investigate the relationship between these genes and LUSC. The expression trends of genes related to the cell cycle in a group of patients with LUSC were analyzed. Clinical information and mRNA expression data were obtained from The Cancer Genome Atlas via cBioportal. Multiple analyses have been performed to investigate the association between these genes and LUSC. Three clusters were identified based on the mRNA expression of 124 cell cycle-associated genes. Cluster 3 exhibited the worst prognosis. A comparative analysis showed that nine expressed genes differed distinctly among all the clusters. Among these nine genes, elevated expression of CDK4 was strongly associated with positive prognosis. Furthermore, the expression of ANAPC11, ANAPC5, and ORC4 correlated with the advancement of LUSC pathological stages. Gene expression profiles associated with the cell cycle across various LUSC subtypes were identified, highlighting that specific genes are related to prognosis and disease stages. Based on these results, new prognostic strategies, patient stratification, and targeted therapy trials have been conducted for LUSC.

1357P Multicenter phase II study of cisplatin and gemcitabine plus necitumumab in patients with unresectable, advanced lung squamous cell carcinoma who have progressed on or after initial treatment with immune checkpoint inhibitors plus platinum-based chemotherapy: WJOG14120L NESSIE study

1357P Multicenter phase II study of cisplatin and gemcitabine plus necitumumab in patients with unresectable, advanced lung squamous cell carcinoma who have progressed on or after initial treatment with immune checkpoint inhibitors plus platinum-based chemotherapy: WJOG14120L NESSIE study

Effect of family history of cancer on postoperative survival in patients with non-small cell lung cancer.

Family history of cancer (FHC) has been reported to increase mortality of non-small cell lung cancer, mainly comprised of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). However, the impact of FHC on long-term survival remains controversial. This study aims to identify the impact of FHC on postoperative survival in LUAD and LUSC. Patients underwent lung resection for LUAD or LUSC in West China Hospital from 2009 to 2021 were enrolled. The 5-year overall survival (OS), lung cancer-specific survival (LCSS) and progression-free survival (PFS) were compared between the patients with and without FHC. Multivariable Cox regression was also performed. A total of 6,253 patients were enrolled, including 5,685 LUAD and 568 LUSC. Altogether 18.9% (1,077/5,685) patients had FHC in LUAD, and 12.7% (72/568) patients had FHC in LUSC. In LUAD, the patients with FHC showed comparable survival compared with the patients without FHC regarding 5-year OS (87.9% vs. 86.5%, P=0.49), 5-year PFS (84.8% vs. 80.9%, P=0.06), and 5-year LCSS (89.2% vs. 88.0%, P=0.96). In LUSC, the patients with FHC had poorer survival compared with the patients without FHC according to 5-year OS (40.9% vs. 68.2%, P=0.007), 5-year PFS (42.3% vs. 66.2%, P=0.003), and 5-year LCSS (45.8% vs. 72.7%, P=0.003). Multivariate analyses indicated that FHC was an independent prognostic factor of OS, PFS, and LCSS in the patients with LUSC. FHC was associated with a poor survival after lung resection in LUSC not LUAD patients. More attention should be paid in postoperative monitoring and treatment in LUSC patients with FHC.

Neutrophil estimation and prognosis analysis based on existing lung squamous cell carcinoma datasets: the development and validation of a prognosis prediction model.

Notwithstanding the rapid developments in precision medicine in recent years, lung cancer still has a low survival rate, especially lung squamous cell cancer (LUSC). The tumor microenvironment (TME) plays an important role in the progression of lung cancer, in which high neutrophil levels are correlated with poor prognosis, potentially due to their interactions with tumor cells via pro-inflammatory cytokines and chemokines. However, the precise mechanisms of how neutrophils influence lung cancer remain unclear. This study aims to explore these mechanisms and develop a prognosis predictive model in LUSC, addressing the knowledge gap in neutrophil-related cancer pathogenesis. LUSC datasets from the Xena Hub and Gene Expression Omnibus (GEO) databases were used, comprising 473 tumor samples and 195 tumor samples, respectively. Neutrophil contents in these samples were estimated using CIBERSORT, xCell, and microenvironment cell populations (MCP) counter tools. Differentially expressed genes (DEGs) were identified using DEseq2, and a weighted gene co-expression network analysis (WGCNA) was performed to identify neutrophil-related genes. A least absolute shrinkage and selection operator (LASSO) Cox regression model was constructed for prognosis prediction, and the model's accuracy was validated using Kaplan-Meier survival curves and time-dependent receiver operating characteristic (ROC) curves. Additionally, genomic changes, immune correlations, drug sensitivity, and immunotherapy response were analyzed to further validate the model's predictive power. Neutrophil content was significantly higher in adjacent normal tissue compared to LUSC tissue (P<0.001). High neutrophil content was associated with worse overall survival (OS) (P=0.02), disease-free survival (DFS) (P=0.02), and progression-free survival (PFS) (P=0.03) using different software estimates. Nine gene modules were identified, with blue and yellow modules showing strong correlations with neutrophil prognosis (P<0.001). Eight genes were selected for the prognostic model, which accurately predicted 1-, 3-, and 5-year survival in both the training set [area under the curve (AUC) value =0.60, 0.63, 0.66, respectively] and validation set (AUC value =0.58, 0.58, 0.59, respectively), with significant prognosis differences between high- and low-risk groups (P<0.001). The model's independent prognostic factors included risk group, pathologic M stage, and tumor stage (P<0.05). A further molecular mechanism analysis revealed differences between risk groups were revealed in immune checkpoint and human leukocyte antigen (HLA) gene expression, hallmark pathways, drug sensitivity, and immunotherapy responses. This study established a risk-score model that effectively predicts the prognosis of LUSC patients and sheds light on the molecular mechanisms involved. The findings enhance the understanding of neutrophil-tumor interactions, offering potential targets for personalized treatments. However, further experimental validation and clinical studies are required to confirm these findings and address study limitations, including reliance on public databases and focus on a specific lung cancer subtype.

Identifying genetically-supported drug repurposing targets for non-small cell lung cancer through mendelian randomization of the druggable genome.

Lung cancer is responsible for most cancer-related deaths, and non-small cell lung cancer (NSCLC) accounts for the majority of cases. Targeted therapy has made promising advancements in systemic treatment for NSCLC over the last two decades, but inadequate drug targets with clinically proven survival benefits limit its universal application in clinical practice compared to chemotherapy and immunotherapy. There is an urgent need to explore new drug targets to expand the beneficiary group. This study aims to identify druggable genes and to predict the efficacy and prognostic value of the corresponding targeted drugs in NSCLC. Two-sample mendelian randomization (MR) of druggable genes was performed to predict the efficacy of their corresponding targeted therapy for NSCLC. Subsequent sensitivity analyses were performed to assess potential confounders. Accessible RNA sequencing data were incorporated for subsequent verifications, and Kaplan-Meier survival curves of different gene expressions were used to explore the prognostic value of candidate druggable genes. MR screening encompassing 4,863 expression quantitative trait loci (eQTL) and 1,072 protein quantitative trait loci (pQTL, with 453 proteins overlapping) were performed. Seven candidate druggable genes were identified, including CD33, ENG, ICOSLG and IL18R1 for lung adenocarcinoma, and VSIR, FSTL1 and TIMP2 for lung squamous cell carcinoma. The results were validated by further transcriptomic investigations. Drugs targeting genetically supported genomes are considerably more likely to yield promising efficacy and succeed in clinical trials. We provide compelling genetic evidence to prioritize drug development for NSCLC.

Adult Tracheobronchomalacia that Progressed Following Radiotherapy in an Advanced-stage Lung Cancer Patient: A Rare Case Report

Tracheobronchomalacia (TBM) is the collapse of the trachea and bronchi, which leads to respiratory symptoms and complications, often on forced expiration. Radiotherapy (RT) is a rare cause of adult TBM. Here, we report the first case of progressive TBM following palliative RT in a patient with squamous cell lung carcinoma. TBM was diagnosed by fiberoptic bronchoscopy and thoracic CT scans. In patients with advanced-stage lung cancer who experience worsening dyspnea and cough following palliative RT, TBM should also be taken into account.

Association between common chronic pulmonary diseases and lung cancer: Mendelian randomization analysis

BackgroundLung cancer is a leading public health concern worldwide. Previous evidence suggests that chronic obstructive pulmonary disease (COPD) and asthma may contribute to its development. However, whether these common chronic pulmonary diseases are causal factors of lung cancer remained unclear.MethodsSummary statistics from genome-wide association studies (GWAS) were used for Mendelian randomization (MR) analysis. Genetic data for COPD were obtained from the Global Biobank Meta-Analysis Initiative, and asthma data were retrieved from the UK Biobank cohort. Suitable instrumental variables were selected based on quality control measures. GWAS summary data for lung cancer were obtained from a large study involved 85,716 participants. MR analysis was performed using various methods, and sensitivity analyses were conducted. Multivariable MR (MVMR) analysis was employed to account for potential confounding factors.ResultsOur MR analysis revealed a significant causal association between COPD and lung cancer, including its subtypes such as lung squamous cell carcinoma, lung adenocarcinoma, and small cell lung carcinoma. Genetically predicted COPD was associated with a 64% increased risk of lung cancer and a 2.3 to 2.8-fold increased risk of the different subtypes. However, in the MVMR analysis adjusting for smoking, alcohol drinking, and body mass index, the association between COPD and lung cancer became non-significant. No significant association was observed between asthma (childhood-onset and adult-onset) and lung cancer and its histological subtypes.ConclusionsOur study suggests a potential causal association between COPD and lung cancer. However, this association became non-significant after adjusting for smoking in the multivariable analysis.

Effects of 630nm laser on apoptosis, metastasis, invasion and epithelial-to-mesenchymal transition of human lung squamous cell carcinoma H520 cells mediated by hematoporphyrin derivatives.

Photodynamic therapy (PDT) has significant advantages in the treatment of malignant lung tumors. The research on the mechanism of PDT mediated by hematoporphyrin derivatives (HPD) and its cytotoxic effects on lung cancer cells has primarily focused on lung adenocarcinoma cells. However, the impact of HPD-PDT on lung squamous cell carcinoma has not been thoroughly studied. This study aimed to investigate the effects of 630nm laser on apoptosis, metastasis, invasion, and epithelial-mesenchymal transition (EMT) in human lung squamous cell carcinoma H520 cells mediated by HPD. H520 cells were divided into four groups: control group, photosensitizer group, irradiation group, and HPD-PDT group. Cell proliferation was assessed using CCK8 assay; cell apoptosis was detected by Hoechst33258 staining and flow cytometry; cell migration and invasion abilities were evaluated using wound-healing and invasion assays; and protein and mRNA expressions were analyzed by Western blot and reverse transcription-polymerase chain reaction (RT-PCR)respectively. Results showed that HPD-PDT significantly inhibited cell proliferation, promoted apoptosis (P < 0.05), suppressed cell migration and invasion (P < 0.05), decreased Bcl-2 mRNA expression, and increased Bax and Caspase-9 mRNA expression(P < 0.05). Western blotting analysis indicated increased expression of Bax, Caspase-9, and E-cadherin, and decreased expression of Bcl-2, N-cadherin, and Vimentin (P < 0.05). In conclusion, 630nm laser mediated by HPD promoted cell apoptosis via upregulation of Bax and caspase-9, and downregulation of Bcl-2, and inhibited cell migration and invasion by regulating EMT in H520 cells.

Circulating miRNA panels as a novel non-invasive diagnostic, prognostic, and potential predictive biomarkers in non-small cell lung cancer (NSCLC)

BackgroundNon-small cell lung cancer (NSCLC) is characterised by its aggressiveness and poor prognosis. Early detection and accurate prediction of therapeutic responses remain critical for improving patient outcomes. In the present study, we investigated the potential of circulating microRNA (miRNA) as non-invasive biomarkers in patients with NSCLC.MethodsWe quantified miRNA expression in plasma from 122 participants (78 NSCLC; 44 healthy controls). Bioinformatic tools were employed to identify miRNA panels for accurate NSCLC diagnosis. Validation was performed using an independent publicly available dataset of more than 4000 NSCLC patients. Next, we correlated miRNA expression with clinicopathological information to identify independent prognostic miRNAs and those predictive of anti-PD-1 treatment response.ResultsWe identified miRNA panels for lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) diagnosis. The LUAD panel consists of seven circulating miRNAs (miR-9-3p, miR-96-5p, miR-147b-3p, miR-196a-5p, miR-708-3p, miR-708-5p, miR-4652-5p), while the LUSC panel comprises nine miRNAs (miR-130b-3p, miR-269-3p, miR-301a-5p, miR-301b-5p, miR-744-3p, miR-760, miR-767-5p, miR-4652-5p, miR-6499-3p). Additionally, miR-135b-5p, miR-196a-5p, miR-31-5p (LUAD), and miR-205 (LUSC) serve as independent prognostic markers for survival. Furthermore, two miRNA clusters, namely miR-183/96/182 and miR-767/105, exhibit predictive potential in anti-PD-1-treated LUAD patients.ConclusionsCirculating miRNA signatures demonstrate diagnostic and prognostic value for NSCLC and may guide treatment decisions in clinical practice.

Opposing Functions of Maspin Are Regulated by Its Subcellular Localization in Lung Squamous Cell Carcinoma Cells.

Mammary serine protease inhibitor (maspin) is a tumor suppressor protein downregulated during carcinogenesis and cancer progression; cytoplasmic-only maspin expression is an independent, unfavorable prognostic indicator in patients with lung squamous cell carcinoma (LUSC). We hypothesized that the cytoplasmic-only localization of maspin has tumor-promoting functions in LUSC. The subcellular localization of maspin and the invasive capability of LUSC cell lines were investigated using RNA sequencing (RNA-seq), Western blotting, and siRNA transfection. Maspin mRNA and protein expression were suppressed in LK-2 and RERF-LC-AI cells. Cell invasion significantly increased in response to siRNA-mediated maspin knockdown in KNS-62 cells expressing both nuclear and cytoplasmic maspin. In LK-2 cells, both nuclear and cytoplasmic maspin were re-expressed, and cell invasion and migration were significantly decreased. In contrast, re-expressed maspin in RERF-LC-AI cells was detected only in the cytoplasm (cytMaspin), and cell invasion and migration were significantly promoted. RNA-seq and downstream analyses revealed that increased cytMaspin expression downregulated the genes associated with cell adhesion and activated PYK2 and SRC, which play important roles in cancer progression. Our study demonstrates a novel biological function of cytMaspin in enhancing the invasive capabilities of LUSC cells. Understanding cytoplasm-to-nuclear maspin translocation dysregulation may develop novel therapeutic approaches to improve the prognosis of patients with LUSC.