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Background: The integration of high-risk human papilloma virus (HPV) DNA into the human genome has been implicated in cervical carcinogenesis and head and neck squamous cell cancer. However, its role in lung squamous cell carcinoma is not well understood. In addition, tuberculosis (TB) and lung cancer(LC) share similar clinical symptoms and imaging features, increasing the risk of misdiagnosis. Case Presentation: The patient presented with a 16-month history of hemoptysis, chest pain, and occasional fatigue, without fever, chills, or history of mechanical damage or autoimmune diseases. Examination revealed normal vital signs and laboratory parameters, except for a positive interferon-gamma release assay indicating tuberculosis infection. Bronchoscopic examinations identified congestion and edema of the tracheal wall, along with a tiny lesion in the right wall of the trachea. She had been misdiagnosed with tuberculosis. However, the diagnosis of squamous cell carcinoma was eventually confirmed by endoscopic biopsy. The patient's macrogenomic second-generation sequencing (mNGS) of the bronchoscopic biopsy specimen was positive for HPV-16.The patient's sex partner tested positive for HPV-16 in penile scrapings, indicating HPV transmission through oral sex. Conclusions: This case highlights the potential for HPV infection acquired through oral sex to lead to lung squamous cell carcinoma. It emphasizes the importance of considering HPV-associated malignancies in patients with respiratory symptoms who engage in oral sexual behaviors. [ABSTRACT FROM AUTHOR]

The proliferation, metastasis, and drug resistance of cancer cells pose significant challenges to the treatment of lung squamous cell carcinoma (LUSC). However, there is a lack of optimal predictive models that can accurately forecast patient prognosis and guide the selection of targeted therapies. The extensive multi‐omic data obtained from multi‐level molecular biology provides a unique perspective for understanding the underlying biological characteristics of cancer, offering potential prognostic indicators and drug sensitivity biomarkers for LUSC patients. We integrated diverse datasets encompassing gene expression, DNA methylation, genomic mutations, and clinical data from LUSC patients to achieve consensus clustering using a suite of 10 multi‐omics integration algorithms. Subsequently, we employed 10 commonly used machine learning algorithms, combining them into 101 unique configurations to design an optimal performing model. We then explored the characteristics of high‐ and low‐risk LUSC patient groups in terms of the tumor microenvironment and response to immunotherapy, ultimately validating the functional roles of the model genes through in vitro experiments. Through the application of 10 clustering algorithms, we identified two prognostically relevant subtypes, with CS1 exhibiting a more favorable prognosis. We then constructed a subtype‐specific machine learning model, LUSC multi‐omics signature (LMS) based on seven key hub genes. Compared to previously published LUSC biomarkers, our LMS score demonstrated superior predictive performance. Patients with lower LMS scores had higher overall survival rates and better responses to immunotherapy. Notably, the high LMS group was more inclined toward “cold” tumors, characterized by immune suppression and exclusion, but drugs like dasatinib may represent promising therapeutic options for these patients. Notably, we also validated the model gene SERPINB13 through cell experiments, confirming its role as a potential oncogene influencing the progression of LUSC and as a promising therapeutic target. Our research provides new insights into refining the molecular classification of LUSC and further optimizing immunotherapy strategies. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to develop a prognostic cell death index (CDI) based on the expression of genes related with various types of programmed cell death (PCD), and to assess its clinical relevance in lung squamous cell carcinoma (LUSC). Methods: PCD-related genes were gathered and analyzed in silico using the transcriptomic data from the LUSC cohorts of The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC). Differentially expressed PCD genes were analyzed, and a prognostic model was subsequently constructed. CDI scores were calculated for each patient, and their correlations with clinical features, survival outcomes, tumor mutation burden, gene clusters, and tumor microenvironment were investigated. Unsupervised consensus clustering was performed based on CDI model genes. Furthermore, the correlation of CDI for sensitivity of targeted drugs, chemotherapy efficacy, and immunotherapy responses was assessed. Results: Based on 351 differentially expressed PCD genes in LUSC, a CDI signature comprising FGA, GAB2, JUN, and CDKN2A was identified. High CDI scores were significantly associated with poor survival outcomes (p < 0.05). Unsupervised clustering revealed three distinct patient subsets with varying survival rates. CDKN2A exhibited significantly different mutation patterns between patients with high and low CDI scores (p < 0.01). High CDI scores were also linked to increased immune cell infiltration of specific subsets and altered expression of immune-related genes. Patients with high-CDI showed reduced sensitivity to several chemotherapeutic drugs and a higher Tumor Immune Dysfunction and Exclusion (TIDE) score, indicating potential resistance to immunotherapy. Conclusion: The CDI signature based on PCD genes offers valuable prognostic insights into LUSC, reflecting molecular heterogeneity, immune microenvironment associations, and potential therapeutic challenges. The CDI holds potential clinical utility in predicting treatment responses and guiding the selection of appropriate therapies for patients with LUSC. Future studies are warranted to further validate the prognostic value of CDI in combination with clinical factors and to explore its application across diverse patient cohorts. [ABSTRACT FROM AUTHOR]

Background: Lung squamous cell carcinoma (LUSCs) is associated with high mortality (20–30%) and lacks of effective treatments. Almost all LUSC exhibit somatic mutations in TP53. Wee1, a tyrosine kinase, regulates the cell cycle at the G2/M checkpoint. In TP53-deficient cells, the dependence on G2/M checkpoints increases. PD0166285 is the first reported drug with inhibitory activity against both Wee1 and PKMYT1. Methods: Protein expression was determined by Western blot analysis. Cell proliferation was assessed using cell colony formation and CCK-8 assays. Cell cycle was performed by PI staining with flow cytometry. Apoptosis was evaluated using Annexin V-Phycoerythrin double staining and flow cytometry. DNA damage was detected through comet assay and immunofluorescence assay. In vivo, apoptosis and anti-tumor effects were assessed using the TUNEL assay, a nude mouse model, and immunohistochemistry (IHC). Co-immunoprecipitation assay was used to detect protein–protein interactions. We analyzed Wee1, PKMYT1, and Stat1 expression in pan-cancer studies using the Ualcan public database and assessed their prognostic implications with Kaplan–Meier curves. Result: PD0166285, a Wee1 inhibitor, effectively inhibits Wee1 activity, promoting cell entry into a mitotic crisis. Moreover, PD0166285 sensitizes cells to cisplatin, enhancing clinical outcomes. Our study demonstrated that PD016628 regulates the cell cycle through Rad51 and results in cell cycle arrest at the G2/M phase. We observed increased apoptosis in tumor cells treated with PD0166285, particularly when combined with cisplatin, indicating an enhanced apoptotic response. The upregulation of γ-H2AX serves as an indicator of mitotic catastrophe. Co-immunoprecipitation and data analysis revealed that apoptosis in LUSC is mediated through the Stat1 pathway, accompanied by decreased levels of Socs3. Furthermore, IHC staining confirmed significant differences in the expression of Phospho-CDK1 and γ-H2AX in LUSCs, suggesting involvement in DNA damage. Conclusions: In summary, our study suggests that PD0166285, an inhibitor of Wee1, sensitizes LUSC cells to cisplatin and modulates DNA damage and apoptosis pathways through Rad51 and Stat1, respectively. These findings highlight the combination of PD0166285 and cisplatin as a promising therapeutic approach for treating LUSC. [ABSTRACT FROM AUTHOR]

Introduction: Several observational or retrospective studies have previously been conducted to explore the possible association between lung cancer and human papillomavirus (HPV) infection. However, there may be inconsistencies in the data and conclusions due to differences in study design and HPV testing methods. There are currently no studies that provide conclusive evidence to support the involvement of HPV in the occurrence and development of lung cancer. Therefore, the relationship between HPV and lung cancer remains controversial and uncertain. This study aimed to explore whether HPV infection is causally related to lung cancer risk by systematically performing a two-way Two-Sample Mendelian Randomization (TSMR) analysis. Methods: In the International Lung Cancer Consortium (ILCCO) genome-wide association study dataset, we included 11,348 lung cancer (LUCA) cases, including 3275 squamous cell carcinoma (LUSC) cases, 3442 adenocarcinoma (LUAD) cases, and 15,861 cases of control. Using genetic variants associated with the HPV E7 protein as instrumental variables, we summarized statistics associated with HPV infection in the MRC IEU OpenGWAS database, which included the HPV-16 E7 protein and the HPV-18 E7 protein. Two-sample Mendelian randomization (MR) results are expressed as odds ratios (OR) and 95% confidence intervals (CI). Results: Based on a comprehensive analysis of genome-wide association study (GWAS) data from public databases, we mainly used inverse-variance weighted (IVW) to estimate causal relationships, while using MR-Egger, weighted median, simple mode, and weighted mode, and other four methods as supplements. Two-sample MR Analysis revealed no causal relationship between exposure factors (HPV-16 E7 protein and HPV-18 E7 protein) and outcome factors (lung cancer (LUCA) and its subtypes squamous cell carcinoma (LUSC) and adenocarcinoma (LUAD)) in forward MR Analysis using the IVW approach.HPV-16 E7 protein and LUCA and its subtypes LUSC and LUAD by IVW method results: [OR] = 1.002; 95% [CI]: 0.961 − 1.045; p = 0.920; [OR] = 1.023; 95% [CI]: 0.966 − 1.084; p = 0.438; [OR] = 0.994; 95% [CI]: 0.927 − 1.066; p = 0.872); HPV-18 E7 protein and LUCA and its subtypes LUSC and LUAD by IVW method results: [OR] = 0.965; 95% [CI]: 0.914 − 1.019; p = 0.197; [OR] = 0.933; 95% [CI]: 0.834 − 1.043; p = 0.222; [OR] = 1.028; 95% [CI]: 0.945 − 1.118; p = 0.524. It was observed through reverse MR that LUCA and its subtypes LUSC and LUAD were used as exposure factors, and HPV infection (HPV-16 E7 protein and HPV-18 E7 protein) was used as the outcome factors, the results of the IVW method are also invalid.LUCA and HPV-16 E7 protein and HPV-18 E7 protein by IVW method results: [OR] = 1.036; 95% [CI]: 0.761 − 1.411; p = 0.82; [OR] = 1.318; 95% [CI]: 0.949 − 1.830; p = 0.099; LUSC and HPV-16 E7 protein and HPV-18 E7 protein by IVW method results: [OR] = 1.123; 95% [CI]0.847 − 1.489; p = 0.421; [OR] = 0.931; 95% [CI]: 0.660 − 1.313; p = 0.682; LUAD and HPV-16 E7 protein and HPV-18 E7 protein by IVW method results: [OR] = 1.182; 95% [CI] 0.983 − 1.421; p = 0.075; [OR] = 1.017; 95% [CI]: 0.817 − 1.267; p = 0.877.Our results indicate that there is no causal relationship between genetically predicted HPV infection and LUCA and its subtypes LUSC and LUAD. In addition, in the reverse MR analysis, we did not observe a significant causal relationship between LUCA and its subtypes LUSC and LUAD on HPV infection. Conclusions: Our findings do not support a genetic association between HPV infection and lung cancer. [ABSTRACT FROM AUTHOR]

Lung squamous cell carcinoma (LUSC) is a malignancy with limited therapeutic options. Immunogenic cell death (ICD) has the potential to enhance the efficacy of cancer therapy by triggering immune responses. We aimed to explore the potential of ICD‐based classification in predicting prognosis and response to immunotherapy for LUSC. RNA‐seq information and clinical data of LUSC patients were obtained from The Cancer Genome Atlas (TCGA) dataset. ICD‐related gene expressions in LUSC samples were analyzed by consensus clustering. Subsequently, differentially expressed genes (DEGs) between different ICD‐related subsets were analyzed. Tumor mutation burden, immune cell infiltration, and survival analyses were conducted between different ICD subsets. Finally, an ICD‐related risk signature was constructed and evaluated in LUSC patients, and the immunotherapy responses based on the gene expressions were also forecasted. ICD‐high and ICD‐low groups were defined, and 1466 DEGs were identified between the two subtypes. These DEGs were mainly enriched in collagen‐containing extracellular matrix, cytokine–cytokine receptor interaction, the PI3K‐Akt signaling pathway, and neuroactive ligand–receptor interaction. Furthermore, the ICD‐low group exhibited a favorable prognosis, enhanced TTN and MUC16 mutation frequencies, increased infiltrating immune cells, and downregulated immune checkpoint expressions. Furthermore, we demonstrated that an ICD‐related model (based on CD4, NLRP3, NT5E, and TLR4 genes) could forecast the prognosis of LUSC, and ICD risk scores were lower in the responder group. In summary, the predicted values of ICD‐related genes (CD4, NLRP3, NT5E, and TLR4) for the prognosis and response to immunotherapy in LUSC were verified in the study, which benefits immunotherapy‐based interventions for LUSC patients. [ABSTRACT FROM AUTHOR]

Background: The primary cause of cancer‐related fatalities globally is lung cancer. Although the chemotherapy drug cisplatin (DDP) has brought certain benefits to patients, the rapid development of drug resistance has greatly hindered treatment success. Methods: We used the lung squamous cell carcinoma (LUSC) mRNA data set to explore the differentially expressed gene (RND1) in LUSC and detected RND1 expression in LUSC cells and DDP‐resistant cells by qRT‐PCR. Meanwhile, we performed abnormal expression treatment on RND1 and conducted CCK8, colony formation, and flow cytometry to evaluate the impact of RND1 expression on cell proliferation, apoptosis, and DDP resistance. In addition, we analyzed metabolism pathways involving RND1 using GSEA. We also used online tools such as hTFtarget and JASPAR to screen for the upstream transcription factor FOXA2 of RND1 and verified their relationship through CHIP and dual luciferase experiments. Finally, we validated the role of FOXA2‐RND1 in DDP resistance in LUSC through the above experiments. Results: RND1 was downregulated in LUSC, and overexpression of RND1 repressed proliferation and DDP resistance of LUSC cells and facilitated cell apoptosis. RND1 modulated the arachidonic acid (AA) metabolism pathway, and FOXA2 positively manipulated RND1 expression. By activating FOXA2, stabilizing RND1, and regulating AA levels, the sensitivity of LUSC cells to DDP could be enhanced. Conclusion: Our study suggested that FOXA2 positively modulated the RND1‐AA pathway, which repressed the resistance of LUSC cells to DDP. [ABSTRACT FROM AUTHOR]

Simple Summary: This study explores the involvement of the immune system in oral and lung squamous cell carcinoma. Given the increasing recognition of the immune system's significance in cancer, the study analyzes key components of both tumor macroenvironment and microenvironment. In detail, the focus is on systemic inflammation markers, such as Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and Monocyte-to-Lymphocyte Ratio (MLR). Additionally, this study investigates Tumor-Infiltrating Lymphocytes (TILs) and CD8+ cells in the tumor microenvironment. We aimed to better understand the impact of these prognostic factors on overall survival (OS) and disease-free survival (DSF) in order to enhance cancer risk stratification and guide therapeutic decisions. Background: The interplay between cancer cells and the immune system is crucial in cancer progression and treatment. In this regard, the tumor immune microenvironment and macroenvironment, marked by systemic inflammation markers and TILs, could be considered key prognostic factors in tumors, including oral and lung squamous cell carcinoma. Methods: We conducted a retrospective clinical study on patients with Oral Squamous Cell Carcinoma (OSCC) and Lung Squamous Cell Carcinoma (LUSCC), examining stages, comorbidities, treatments, and outcomes. We evaluated the prognostic significance of pre-surgical systemic inflammation markers and tumor microenvironment composition. Results: Associations were found between systemic inflammation markers—NLR, MLR, and PLR—and tumor microenvironment factors, such as TILs and CD8+ cell prevalence—elevated inflammation markers correlated with advanced stages. Specifically, NLR was prognostic in OSCC, whereas PLR was prognostic in LUSCC. Using a cutoff value, we divided our tumor samples into two prognostic groups. Moreover, TILs levels >15% of tumor stroma correlated with prolonged overall survival in both OSCC and LUSCC, while increased CD8+ expression was linked to extended disease-free survival in LUSCC. Discussion: Systemic inflammation markers and TILs can be valuable prognostic factors of survival, highlighting the immune response's role in OSCC and LUSCC. Despite limited clinical integration of the presented cohorts due to a lack of standardization, we concluded that analyzing tumor immune profiles may offer novel prognostic insights. Conclusions: Future integration into cancer classification could improve risk stratification and treatment guidance. [ABSTRACT FROM AUTHOR]

Backgrounds: Currently, family with sequence similarity 65 member A (FAM65A) is reported as a pivotal regulator in various cancers. However, the effect of FAM65A in lung squamous cell carcinoma (LSCC) is still unclear, the prime objective of this research is to explore the role of FAM65A in LSCC. Methods: Gene expression data and correlated clinical information were downloaded from the public database and the expression of FAM65A was detected. The expression of FAM65A was also detected in our collected clinical samples and LSCC cell lines. Survival package of R language was used to determine the survival significance of FAM65A. Proteins expression level was determined via western blot assay. Cell function experiments and in vivo experiments were performed to explore the effect of FAM65A on LSCC cell biological behaviors. Results: FAM65A expression was significantly increased in LSCC clinical samples and cell lines. High FAM65A expression predicted poor prognosis in LSCC patients. After silencing FAM65A, the ability of LSCC cell proliferation, invasion and migration was decreased, and LSCC cell cycle was blocked. Moreover, in vivo experiments revealed that silencing FAM65A could inhibit LSCC cell proliferation. Conclusions: High FAM65A expression could enhance proliferative, invasive and migratory abilities of LSCC. FAM65A might be a novel biomarker of LSCC. [ABSTRACT FROM AUTHOR]

A 61‐year‐old man presented to our hospital with a chief complaint of chronic cough. He was diagnosed with lung squamous cell carcinoma at clinical stage cT2aN3M1a. He received chemotherapy up to the fourth line, but both the primary tumor and lymph node metastases increased in size. Nivolumab, administered as the fifth line, resulted in a complete response (CR) that continued for 2 years and 8 months. Treatment was stopped due to the appearance of common terminology criteria for adverse events grade 1 pneumonitis. He was followed up without treatment for 3 years and 8 months, but a left supraclavicular fossa lymph node metastasis appeared. Retreatment with nivolumab was initiated, and the patient achieved CR again. One year and 6 months after retreatment, CR was maintained with nivolumab. This case represents a rare instance in which nivolumab yielded a significant response after a prolonged immune checkpoint inhibitor (ICI)‐free interval. Our experience has shown that the long‐term response to ICIs may deteriorate in the future. Therefore, retreatment with ICIs may be effective when the initial therapy is successful. [ABSTRACT FROM AUTHOR]

Background: Chronic obstructive pulmonary disease (COPD) contributes to the incidence and prognosis of lung cancer. The presence of COPD significantly increases the risk of lung squamous cell carcinoma (LSCC). COPD may promote an immunosuppressive microenvironment in LSCC by regulating the expression of immune‐inhibitory factors in T cells, although the mechanisms remain unclear. In this study, we aimed to decipher the tumour microenvironment signature for LSCC with COPD at a single‐cell level. Methods: We performed single‐cell RNA sequencing on tumour tissues from LSCC with or without COPD, then investigated the features of the immune and tumour cells. We employed multiple techniques, including multispectral imaging, flow cytometry, tissue microarray analysis, survival analysis, co‐culture systems and in vitro and in vivo treatment experiments, to validate the findings obtained from single‐cell analyses. Results: LSCC with COPD showed increased proportions of tumour‐associated macrophages (TAMs) and higher levels of CD8+ T cell exhaustion molecules, which contributed to an immunosuppressive microenvironment. Further analysis revealed a critical cluster of CD74+ tumour cells that expressed both epithelial and immune cell signatures, exhibited a stronger capacity for tumorigenesis and predicted worse overall survival. Notably, migration inhibitory factor (MIF) secreted by TAMs from LSCC with COPD may promote the activation of CD74. MIF‐CD74 may interact with CD8+ T cells and impair their anti‐tumour activity by regulating the PI3K‐STAT3‐programmed cell death‐1 ligand 1 signalling pathway, facilitating tumour proliferation and immune evasion. Conclusions: Our comprehensive picture of the tumour ecosystem in LSCC with COPD provides deeper insights into relevant immune evasion mechanisms and potential targets for immunotherapy. Highlight: Our results demonstrated higher proportions of tumour‐associated macrophages (TAMs) and higher levels of exhaustion molecules in CD8+ T cells in the microenvironment of LSCC with COPD.CD74+tumour cells were associated with poor disease prognosis.Migration inhibitory factor (MIF)‐CD74 may interact with CD8+ T cells and impair their anti‐tumour activity by regulating the PI3K‐STAT3‐PD‐L1 signalling pathway, facilitating immune evasion. [ABSTRACT FROM AUTHOR]

Pyroptosis-related long-noncoding RNAs (PRlncRNAs) play an important role in cancer progression. However, their role in lung squamous cell carcinoma (LUSC) is unclear. A risk model was constructed using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis based on RNA sequencing data from The Cancer Genome Atlas database. The LUSC cohort was divided into high- and low-risk groups based on the median risk score. For the prognostic value of the model, the Kaplan–Meier analysis, log-rank test, and Cox regression analysis were performed. A nomogram was constructed to predict the prognosis of patients, using a risk score and clinical parameters such as age, sex, clinical stage, and tumor node metastasis classification (TNM) stage. Afterwards, six common algorithms were employed to assess the invasion of immune cells. The Gene Set Enrichment Analysis (GSEA) was conducted to identify differences between patients at high and low risk. Furthermore, the pRRophetic package was employed to forecast the half-maximal inhibitory doses of prevalent chemotherapeutic drugs, while the tumor immune dysfunction and exclusion score was computed to anticipate the response to immunotherapy. The expression levels of the seven PRlncRNAs were examined in both LUSC and normal lung epithelial cell lines using RT-qPCR. Proliferation, migration, and invasion assays were also carried out to investigate the role of MIR193BHG in LUSC cells. Patients in the low-risk group showed prolonged survival in the total cohort or subgroup analysis. The Cox regression analysis showed that the risk model could act as an independent prognostic factor for patients with LUSC. The results of GSEA analysis revealed that the high-risk group showed enrichment of cytokine pathways, Janus tyrosine kinase/signal transducer and activator of the transcription signalling pathway, and Toll-like receptor pathway. Conversely, the low-risk group showed enrichment of several gene repair pathways. Furthermore, the risk score was positively correlated with immune cell infiltration. Moreover, patients in the high-risk category showed reduced responsiveness to conventional chemotherapeutic medications and immunotherapy. The majority of the long noncoding RNAs in the risk model were confirmed to be overexpressed in LUSC cell lines compared to normal lung epithelial cell lines by in vitro tests. Further studies have shown that downregulating the expression of MIR193BHG may inhibit the growth, movement, and infiltration capabilities of LUSC cells, whereas increasing the expression of MIR193BHG could enhance these malignant tendencies. This study found that PRlncRNAs were linked to the prognosis of LUSC patients. The risk model, evaluated across various clinical parameters and treatment modalities, shows potential as a future reference for clinical applications. [ABSTRACT FROM AUTHOR]

Early detection of lung squamous cell carcinoma (LUSC) has a significant impact on clinical outcomes, and pterostilbene (PT) is a natural compound with promising anti‐oncogenic activities. This study aimed to identify potential LUSC biomarkers through a series of bioinformatic analyses and clinical verification and explored the interaction between PT and selected biomarkers during the treatment of LUSC. The analysis of the expression profile of the clinical samples of LUSC was performed to identify dysexpressed genes (DEGs) and validated by IHC. The role of KANK3 in the anti‐LUSC effects of PT was assessed with a series of in vitro and in vivo assays. 4335 DEGs were identified, including 1851 upregulated genes and 2484 downregulated genes. Survival analysis showed that KANK3 was significantly higher in patients with LUSC with an advanced tumor stage. In in vitro assays, PT suppressed cell viability, induced apoptosis, and inhibited migration and invasion in LUSC cell lines, which was associated with downregulation of KANK3. After the reinduction of the KANK3 level in LUSC cells, the anti‐LUSC function of PT was impaired. In mice model, reinduction of KANK3 increased tumor growth and metastasis even under the treatment of PT. The findings outlined in the current study indicated that PT exerted anti‐LUSC function in a KANK3 inhibition‐dependent manner. [ABSTRACT FROM AUTHOR]

Objective: The optimal timing for surgery following neoadjuvant immunochemotherapy for lung squamous cell carcinoma appears to be a topic of limited data. Many clinical studies lack stringent guidelines regarding this timing. The objective of this study is to explore the effect of the interval between neoadjuvant immunochemotherapy and surgery on survival outcomes in patients with lung squamous cell carcinoma. Methods: This study conducted a retrospective analysis of patients with lung squamous cell carcinoma who underwent neoadjuvant immunochemotherapy between January 2019 and October 2022 at The First Affiliated Hospital, Zhejiang University School of Medicine. Patients were divided into two groups based on the treatment interval: ≤33 days and > 33 days. The primary observational endpoints of the study were Disease-Free Survival (DFS) and Overall Survival (OS). Secondary observational endpoints included Objective response rate (ORR), Major Pathological Response (MPR), and Pathological Complete Remission (pCR). Results: Using the Kaplan-Meier methods, the ≤ 33d group demonstrated a superior DFS curve compared to the > 33d group (p = 0.0015). The median DFS for the two groups was 952 days and 590 days, respectively. There was no statistical difference in the OS curves between the groups (p = 0.66), and the median OS was not reached for either group. The treatment interval did not influence the pathologic response of the tumor or lymph nodes. Conclusions: The study observed that shorter treatment intervals were associated with improved DFS, without influencing OS, pathologic response, or surgical safety. Patients should avoid having a prolonged treatment interval between neoadjuvant immunochemotherapy and surgery. [ABSTRACT FROM AUTHOR]

[Display omitted] Due to lack of effective, early and non-invasive diagnostic as well as treatment tools, the surgical treatment opportunities for lung squamous cell carcinoma (SCC) are limited, resulting in high mortality rates. Therefore, the combination of targeted recognition and precise treatment of lung SCC is of great significance. In this study, a multifunctional nanoparticle is designed and synthesized, which specifically identifies lung SCC cells for target imaging and therapy. Desmoglein-3 (Dsg-3), a transmembrane glycoprotein found in desmosomes, is highly expressed in lung SCC cells. Gold nanoclusters (AuNCs) conjugated with Dsg-3 antibodies to form Au-Dsg-3 through coupling reaction. The results showed that the fluorescence imaging (FI) intensity and computed tomography (CT) signal of Au-Dsg-3 significantly increased within 6 h in vitro and in vivo , achieving dual-modal imaging to detect lung SCC effectively. Besides, Au-Dsg-3 even integrates targeted photothermal therapy (PTT) characteristics in a single nanoparticle. When exposed to near-infrared radiation (NIR), the temperature of the tumor site increased rapidly and reached a high temperature of 53.3 °C after 600 s, causing tumor ablation and growth inhibition. In summary, Au-Dsg-3 provides a key platform for targeted biological imaging and collaborative PTT, which demonstrates good performance on lung SCC. [ABSTRACT FROM AUTHOR]

Purpose To develop models to predict programmed death ligand 1 (PD-L1) expression in pulmonary squamous cell carcinoma (SCC) using CT. Materials and Methods A total of 97 patients diagnosed with SCC who underwent PD-L1 expression assay were included in this study. We performed a CT analysis of the tumors using pretreatment CT images. Multiple logistic regression models were constructed to predict PD-L1 positivity in the total patient group and in the 40 advanced-stage (≥ stage IIIB) patients. The area under the receiver operating characteristic curve (AUC) was calculated for each model. Results For the total patient group, the AUC of the 'total significant features model' (tumor stage, tumor size, pleural nodularity, and lung metastasis) was 0.652, and that of the 'selected feature model' (pleural nodularity) was 0.556. For advanced-stage patients, the AUC of the 'selected feature model' (tumor size, pleural nodularity, pulmonary oligometastases, and absence of interstitial lung disease) was 0.897. Among these factors, pleural nodularity and pulmonary oligometastases had the highest odds ratios (8.78 and 16.35, respectively). Conclusion Our model could predict PD-L1 expression in patients with lung SCC, and pleural nodularity and pulmonary oligometastases were notable predictive CT features of PD-L1. [ABSTRACT FROM AUTHOR]

Tobacco smoke contains various carcinogenic ingredients such as nicotine, acrolein, and benzopyrene; however, their effects on cancer treatment are not fully understood. Claudin-1 (CLDN1), a component of tight junctions, is involved in the increased resistance to anticancer drugs. In this study, we found that acrolein increases the mRNA and protein levels of CLDN1 in RERF-LC-AI cells derived from human lung squamous cell carcinoma (SCC). Acrolein increased the p-extracellular signal-regulated kinase (ERK) 1/2 levels without affecting the p-Akt level. The acrolein-induced elevation of CLDN1 expression was attenuated by U0126, a mitogen-activated protein kinase kinas (MEK) inhibitor. These results indicate that the activation of MEK/ERK pathway is involved in the acrolein-induced elevation of CLDN1 expression. In a spheroid model, acrolein suppressed the accumulation and toxicity of doxorubicin (DXR), which were rescued by CLDN1 silencing. The acrolein-induced effects were also observed in lung SCC-derived EBC-1 and LK-2 cells. Acrolein also increased the expression level of nuclear factor erythroid 2-related factor 2 (Nrf2), a transcription factor that regulates antioxidant and detoxifying genes, which were inhibited by CLDN1 silencing. In spheroid cells, the levels of reactive oxygen species were enhanced by acrolein, which was inhibited by CLDN1 silencing. Taken together, acrolein may reduce the anticancer drug-induced toxicity in human lung SCC cells mediated by high CLDN1 expression followed by the upregulation of Nrf2 signaling pathway. [Display omitted] • Claudin-1 expression is increased by acrolein in human lung squamous cell carcinoma cells. • The activation of MEK/ERK pathway is involve in the acrolein-induced elevation of claudin-1 expression. • Acrolein increases reactive oxygen species production and Nrf2 expression. • Acrolein suppresses the toxicity of anticancer drugs mediated by high claudin-1 expression followed by the upregulation of Nrf2 signal. [ABSTRACT FROM AUTHOR]

Lung squamous cell carcinoma (LUSC) is one of the most common malignancies. There is growing evidence that glycolysis-related genes play a critical role in tumor development, maintenance, and therapeutic response by altering tumor metabolism and thereby influencing the tumor immune microenvironment. However, the overall impact of glycolysis-related genes on the prognostic significance, tumor microenvironment characteristics, and treatment outcome of patients with LUSC has not been fully elucidated. We used The Cancer Genome Atlas (TCGA) dataset to screen glycolysis-related genes with prognostic effects in LUSC and constructed signature and nomogram models using Lasso and Cox regression, respectively. In addition, we analyzed the immune infiltration and tumor mutation load of the genes in the models. We finally obtained a total of glycolysis-associated DEGs. The signature model and nomogram model had good prognostic power for LUSC. Gene expression in the models was highly correlated with multiple immune cells in LUSC. Through this analysis, we have identified and validated for the first time that glycolysis-related genes are highly associated with the development of LUSC. In addition, we constructed the signature model and nomogram model for clinical decision-making. [ABSTRACT FROM AUTHOR]

Aims: To investigate the predictive value of baseline C-reactive protein (CRP) levels on the efficacy of chemotherapy plus immune checkpoint inhibitors (ICI) in patients with advanced lung squamous cell carcinoma (LSCC). Materials and methods: In this retrospective multicenter study spanning from January 2016 to December 2020, advanced LSCC patients initially treated with chemotherapy or a combination of chemotherapy and ICI were categorized into normal and elevated CRP subgroups. The relationship between CRP levels and treatment outcomes was analyzed using multivariate Cox proportional hazards models and multivariate logistic regression, focusing primarily on the progression-free survival (PFS) endpoint, and secondarily on overall survival (OS) and objective response rate (ORR) endpoints. Survival curves were generated using the Kaplan-Meier method, with the log-rank test used for comparison between groups. Results: Of the 245 patients evaluated, the 105 who received a combination of chemotherapy and ICI with elevated baseline CRP levels exhibited a significant reduction in PFS (median 6.5 months vs. 11.8 months, HR, 1.78; 95% CI: 1.12–2.81; p = 0.013) compared to those with normal CRP levels. Elevated CRP was identified as an independent risk factor for poor PFS through multivariate-adjusted analysis. However, among the 140 patients receiving chemotherapy alone, baseline CRP levels did not significantly influence PFS. Furthermore, within the combination therapy group, there was a notable decrease in the ORR (51% vs. 71%, p = 0.035), coupled with a significantly shorter OS (median 20.9 months vs. 31.5 months, HR, 2.24; 95% CI: 1.13–4.44; p = 0.033). Conclusion: In patients with advanced LSCC, elevated baseline CRP levels were identified as an independent predictive factor for the efficacy of combination therapy with chemotherapy and ICI, but not in chemotherapy alone. This suggests that CRP may be a valuable biomarker for guiding treatment strategies. [ABSTRACT FROM AUTHOR]

Background: Although lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) have different pathological and clinical features, they may share common driver genes. It was found that lipid levels can be used for early diagnosis of NSCLC; however, the relationship between driver genes and genes regulating lipid metabolism and their relationship with patient prognosis needs further investigation. Methods: Genes whose expression was up‐ or down‐regulated in both LUAD and LUSC were identified using the GEO database. Online tools like GEPIA 2, PrognoScan, UALCAN, and TIMER2.0 were used to investigate the association of these gene expressions with the patient's prognosis and lipid regulatory genes. The association between clinical lipid levels and the risk of LUAD and LUSC was analyzed by using a multiple logistic regression model. Results: Topoisomerase II alpha (TOP2A) and alcohol dehydrogenase 1B (ADH1B) were identified as the only genes up‐ and down‐regulated in both LUAD and LUSC. TOP2A and ADH1B expression levels significantly correlated with the patient's gender, age, individual cancer stage, histological subtype, nodal metastasis status, and TP53 mutation status. Additionally, only LUAD patients with higher TOP2A or lower ADH1B expressions displayed poor overall and relapse‐free survival rates. Moreover, TOP2A levels exhibited a negative correlation with adipose triglyceride lipase (ATGL) and ATP‐binding cassette transporter A1 (ABCA1) in both LUAD and LUSC. However, ADH1B showed inverse associations with the above‐mentioned genes when compared to TOP2A expressions in both LUAD and LUSC. Furthermore, elevated triglyceride (OR = 1.59; 95% CI = 1.01 to 2.49; P < 0.05) and total cholesterol (OR = 2.45; 95% CI = 1.08 to 5.57; P < 0.05) levels might increase the risk of LUAD. Conclusions: TOP2A and ADH1B can be used as diagnostic markers for LUAD and LUSC, but only as independent prognostic factors for LUAD, and may be involved in lipid metabolism in LUAD patients but not in LUSC. Thus, combining genetic diagnostics with lipid panel tests might be an effective method for an early diagnosis and improved prognosis of LUAD. [ABSTRACT FROM AUTHOR]

Abstract Cancer-associated fibroblasts (CAFs) are an important component of the tumor microenvironment that contribute toward the development of tumors. This study aimed to establish a new algorithm based on CAF scores to predict the prognosis and immunotherapy response in patients with lung squamous cell carcinoma (LUSC). The RNA-seq data of LUSC patients were obtained from two databases and merged after removing inter-batch differences. The CAF-related data for each sample were obtained through three different algorithms. Consistency cluster analysis was performed to obtain different CAF clusters, which were analyzed to identify differentially expressed genes. These were subjected to uniform cluster analysis to obtain different gene clusters. The Boruta algorithm was used to calculate the CAF score. Three CAF clusters and two gene clusters were obtained, all of which differed in their patient prognoses and the content of infiltrating immune cells. Patients with high CAF scores exhibited worse overall survival, higher expression of biomarkers related to immune checkpoints and immune activity, and lower tumor mutation burden. The CAF score could also predict the immunotherapy response of patients. This study suggests that the CAF score can accurately predict the prognosis and immunotherapy response of LUSC patients. [ABSTRACT FROM AUTHOR]

Purpose: Lung squamous cell carcinoma (LUSC) is an aggressive subset of non-small-cell lung cancer (NSCLC). The tumor microenvironment (TME) plays an important role in the development of LUSC. We aim to identify potential therapeutic targets and a TME-related prognostic signature and for LUSC. Methods: TME-related genes were obtained from TCGA-LUSC dataset. LUSC samples were clustered by the non-negative matrix clustering algorithm (NMF). The prognostic signature was constructed through univariate Cox regression, multivariate Cox regression, and the least absolute shrinkage and selection operator (LASSO) analyses. Gene set enrichment analysis (GSEA) was carried out to explore the enrichment pathways. Results: This study constructed a prognostic signature which contained 12 genes: HHIPL2, PLK4, SLC6A4, LSM1, TSLP, P4HA1, AMH, CLDN5, NRTN, CDH2, PTGIS, and STX1A. Patients were classified into high-risk and low-risk groups according to the median risk score of this signature. Compared with low-risk group patients, patients in high-risk group patients had poorer overall survival, which demonstrated this signature was an independent prognostic factor. Besides, correlation analysis and GSEA results revealed that genes of this signature were correlated with immune cells and drug response. Conclusion: Our novel signature based on 12 TME-related genes might be applied as an independent prognostic indicator. Importantly, the signature could be a promising biomarker and accurately predict the prognosis of LUSC patients. [ABSTRACT FROM AUTHOR]

Objective To develop a new risk scoring model based on cuproptosis-related lncRNAs (CRLs) to predict the prognosis of lung squamous cell carcinoma (LUSC). Methods Data were obtained mainly from TCGA and GTEx databases. Univariate Cox, Lasso, and multivariate Cox regression analyses were conducted to determine CRLs that affect the prognosis of LUSC and establish a risk scoring model. The ability of risk score characteristics to independently predict LUSC survival was compared with that of clinical characteristics by calculating the area under the ROC curve (AUC). Immune-related functions and immune checkpoint differences were compared between high- and low-risk groups. Results Nine CRLs were selected as independent prognostic lncRNAs for LUSC, and a risk scoring model was developed. Risk score was the influence factor for the prognosis of LUSC. The AUC values predicted by the risk score model for 1-, 3-, and 5-year survival rates of patients with LUSC were 0.710, 0.718, and 0.743, respectively. The high- and low-risk groups were partly statistically different in terms of immune-related functional assays and immune checkpoint assays (P<0.05). Conclusion The risk scoring model developed based on nine CRLs could predict the prognosis and immune therapy response of patients with LUSC in clinical practice. [ABSTRACT FROM AUTHOR]

Simple Summary: Podoplanin (PDPN), also known as T1α/Aggrus/gp36, is a type I transmembrane sialo-glycoprotein that plays essential roles in cancer progression and metastasis. PDPN-expressing cancers show aggressive phenotypes, including increased stemness, invasiveness, and epithelial-to-mesenchymal transition, which lead to malignant progression. Furthermore, PDPN-positive cancer-associated fibroblasts mediate an immunosuppressive tumor microenvironment, which reduces antitumor immunity. Therefore, monoclonal antibodies (mAbs) against PDPN have been evaluated in preclinical models. In this study, we developed a humanized and defucosylated mAb against PDPN (humLpMab-23-f) and evaluated its antibody-dependent cellular cytotoxicity (ADCC) and antitumor effect in xenograft models of human tumor cells. humLpMab-23-f exerted antitumor activity against PDPN-overexpressed CHO-K1, endogenous PDPN-positive PC-10 (human lung squamous cell carcinoma), and LN319 (human glioblastoma) xenograft-inoculated mice. A cancer-specific anti-PDPN mAb, LpMab-23 (mouse IgG1, kappa), was established in our previous study. We herein produced a humanized IgG1 version (humLpMab-23) and defucosylated form (humLpMab-23-f) of an anti-PDPN mAb to increase ADCC activity. humLpMab-23 recognized PDPN-overexpressed Chinese hamster ovary (CHO)-K1 (CHO/PDPN), PDPN-positive PC-10 (human lung squamous cell carcinoma), and LN319 (human glioblastoma) cells via flow cytometry. We then demonstrated that humLpMab-23-f induced ADCC and complement-dependent cytotoxicity against CHO/PDPN, PC-10, and LN319 cells in vitro and exerted high antitumor activity in mouse xenograft models, indicating that humLpMab-23-f could be useful as an antibody therapy against PDPN-positive lung squamous cell carcinomas and glioblastomas. [ABSTRACT FROM AUTHOR]

Lung squamous cell carcinoma (LUSC) is a non-small cell lung cancer with a poor prognosis owing to late diagnosis. New molecular markers are urgently needed to improve the diagnosis and prognosis of LUSC. 7-Methylguanosine (m7G) modifications, a tRNA modification, are common in eubacteria, eukaryotes, and a few archaea. These modifications promote the turnover and stability of some mRNAs to prevent mRNA decay, improve translation efficiency, and reduce ribosomal pausing but are associated with poor survival in human cancer cells. However, expression of m7G-related genes in LUSC and their association with prognosis remain unclear. In the present study, we identified nine differentially expressed genes related to prognosis by comparing the expression profiles of tumor tissues (502 LUSC reports) with normal tissues (49 adjacent nontumor lung tissue reports). The genes included six upregulated genes (KLK7, LCE3E, AREG, KLK6, ZBED2, and MAPK4) and three downregulated genes (ADH1C, NTS, and ERLIN2). Based on these nine genes, patients with LUSC were classified into low- and high-risk groups to analyze the trends in prognosis. We found that the nine m7G-related genes play important roles in immune regulation, hormone regulation, and drug sensitivity through pathways including antigen processing and presentation, adherent plaques, extracellular matrix receptor interactions, drug metabolism of cytochrome P-450, and metabolism of cytochrome P-450 to xenobiotics; the functions of these genes are likely accomplished in part by m6A modifications. The effect of m7G-related genes on the diagnosis and prognosis of LUSC was further indicated by population analysis. [ABSTRACT FROM AUTHOR]

Background: Despite major advances in cancer therapeutics, the therapeutic options of Lung Squamous Cell Carcinoma (LSCC)-specific remain limited. Furthermore, the current staging system is imperfect for defining a prognosis and guiding treatment due to its simplicity and heterogeneity. We sought to develop prognostic decision tools for individualized survival prediction and treatment optimization in elderly patients with LSCC. Methods: Clinical data of 4564 patients (stageIB-IIIB) diagnosed from 2010 to 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database for prognostic nomograms development. The proposed models were externally validated using a separate group consisting of 1299 patients (stage IB-IIIB) diagnosed from 2012–2015 in China. The prognostic performance was measured using the concordance index (C-index), calibration curves, the average time-dependent area under the receiver operator characteristic curves (AUC), and decision curve analysis. Results: Eleven candidate prognostic variables were identified by the univariable and multivariable Cox regression analysis. The calibration curves showed satisfactory agreement between the actual and nomogram-estimated Lung Cancer-Specific Survival (LCSS) rates. By calculating the c-indices and average AUC, our nomograms presented a higher prognostic accuracy than the current staging system. Clinical usefulness was revealed by the decision curve analysis. User-friendly online decision tools integrating proposed nomograms were created to estimate survival for patients with different treatment regimens. Conclusions: The decision tools for individualized survival prediction and treatment optimization might facilitate clinicians with decision-making, medical teaching, and experimental design. Online tools are expected to be integrated into clinical practice by using the freely available website (https://loyal-brand-611803.framer.app/). [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to explore the correlations among heavy metals concentration, histologic subtypes and molecular characteristics in patients with non-small cell lung cancer (NSCLC). Methods: In this study, an NGS panel of 82 tumor-associated genes was used to identify genomic alternations in 180 newly diagnosed patients with NSCLC. The concentrations of 18 heavy metals in the serum samples were detected by inductively coupled plasma emission spectrometry (ICP-MS). Results: A total of 243 somatic mutations of 25 mutant genes were identified in 115 of 148 patients with LUAD and 45 somatic mutations of 15 mutant genes were found in 24 of 32 patients with LUSC. The genomic alternations, somatic interactions, traditional serum biomarkers, and heavy metals were markedly different between patients with LUAD and LUSC. Moreover, patients with LUSC were significantly positively correlated with Ba, but not LUAD. Lastly, patients with EGFR mutations presented significant negative correlations with Cd and Sr, whereas patients with TP53 mutations showed a significant positive correlation with Pb. Conclusion: The genomic alternations, somatic interactions, traditional serum biomarkers, and heavy metals were different between patients with LUAC and LUSC, and heavy metals (e.g., Ba, Pb, and Cd) may contribute to the tumorigenesis of NSCLC with different histological and molecular subtypes. [ABSTRACT FROM AUTHOR]

Background: Recently, chemotherapy plus immunotherapy has achieved remarkable efficacy in lung squamous cell carcinoma (LUSC). However, some patients, especially frail people, cannot tolerate full‐dose chemotherapy in the real world. To reduce toxicity, appropriate dose reduction in chemotherapy is necessary. Therefore, this study aimed to demonstrate the efficacy and safety of reduced‐dose chemotherapy plus immunotherapy in LUSC patients in the real world. Methods: A real‐world observational study was conducted concerning patients who received chemotherapy plus immunotherapy in our situation. The primary endpoints were objective response rate (ORR) and disease control rate (DCR), and the secondary endpoints were progression‐free survival (PFS), overall survival (OS), and toxicity. Results: Between December 2018 and January 2022, 110 patients were enrolled, of whom 54 patients were chemotherapy reduced‐dose group and 56 patients were chemotherapy standard‐dose group. The ORR in the reduced‐dose group is similar to standard‐dose group (85.19% vs. 71.43%, p = 0.082). Similar DCR were observed (100% vs. 94.64%, p = 0.086). Median PFS was 12 months in the reduced‐dose group and standard‐dose group, respectively. Median OS was 15 months and 16 months in the reduced‐dose group and standard‐dose group, respectively. We reported a lower incidence of grade 3–4 toxicity in the reduced‐dose group compared with standard‐dose group (27.78% vs. 42.86%, p = 0.100). The major toxic reactions were better alleviated in the reduced‐dose group than in the standard‐dose group, especially in the thrombocytopenia (p = 0.044), peripheral nerve damage (p = 0.001), gastrointestinal reactions (p < 0.0001), and fatigue (p = 0.001). Conclusions: The modified regimen with attenuated doses of chemotherapy in combination with immunotherapy was effective and well tolerated in patients with LUSC. The efficacy of this modified regimen is similar to that of the full‐dose regimen. [ABSTRACT FROM AUTHOR]

Objective: To investigate the effects of morphine hydrochloride sustained-release tablets and oxycodone hydrochloride sustained-release tablets on T-cell levels in advanced lung squamous cell carcinoma(LUSC) with moderate to severe cancer pain. Methods: A retrospective study was used, ninety-eight patients who were admitted to The First Affiliated Hospital of Hebei North University for treatment of advanced LUSC with moderate to severe cancer pain between January 2021 and December 2021 were randomized into two groups(n=49 each) using the sealed envelope system. The reference group was treated with morphine hydrochloride sustained-release tablets, while the experimental group received oxycodone hydrochloride sustained-release tablets to compare pain relief rates(PRRs), levels of T cells, pain intensity, et al. Blood samples were collected for lymphocyte levels by flow cytometry. Results: The experimental group had significantly higher level than the reference group(P<0.05). Before administration, the two groups did not differ greatly in levels of T-cell subsets or pain scores on the visual analog scale(P>0.05, respectively). At 15 days of administration, the Treg level in the experimental group was higher than in the reference group; T helper 17 and 22 cells were reduced in both groups, and the decrease was more pronounced in the experimental group. At seven and 15 days of administration, the experimental group had a VAS score significantly lower than the reference group(P<0.05). The total adverse reaction rate was significantly lower in the experimental group as compared with the reference group(P<0.05). Conclusions: Oxycodone hydrochloride sustained-release tablets demonstrate desirable efficacy and safety in advanced LUSC with moderate to severe cancer pain by modulating T-cells in the body and improving the PRR. [ABSTRACT FROM AUTHOR]

Simple Summary: This review discusses new findings for the roles of TNFR1 and TNFR2 in the development of aggressive lung squamous cell carcinoma and lung adenocarcinoma by diverse signaling pathways in lung epithelial tumor cells and leukocytes participating in immunosuppressive tumor microenvironment generation in animal models. These defined events were consistently identified in human lung SCCs and ADCs. The components in these molecular mechanisms may be considered potential therapeutics for lung cancer. TNFR1 and TNFR2, encoded by TNFRSF1A and TNFRSF1B, respectively, are the most well-characterized members among the TNFR superfamily. TNFR1 is expressed in most cell types, while TNFR2 has been reported to be preferentially expressed in leukocytes. Lung cancer remains the leading cause of cancer mortality worldwide but TNFRs' activities in lung cancer development have not been fully evaluated. Recently, overexpressed TNFR1 was reported in a large proportion of human lung squamous cell carcinomas. Increased TNFR1 coupled with increased UBCH10 caused lung SCC cell dedifferentiation with epithelial–mesenchymal transition features and the metastasis in a combined spontaneous lung SCC and TNFR1 transgenic mouse model. UBCH10, an E2 ubiquitin-conjugating enzyme that is an oncogene, increased Sox2, c-Myc, Twist1, and Bcl2 levels. Increased TNFR1 upregulated UBCH10 expression by activating c-Rel and p65 NF-κB. Lung SCC patients overexpressing TNFRSF1A and one of these target genes died early compared to lung SCC patients expressing lower levels of these genes. Recently, we also revealed that TNFR2 was required for lung adenocarcinoma progression, delivering a signaling pathway of TNF/TNFR2/NF-κB-c-Rel, in which macrophage-produced ROS and TNF converted CD4 T cells to Foxp3 Treg cells, generating an immunosuppressive tumor microenvironment and promoting lung ADC progression. In human lung ADC cohorts, TNFRSF1B expression was highly correlated with TNF, FOXP3, and CD4 expression. Of note, TNF stimulated the activities of TNFR1 and TNFR2, two membrane-binding receptors, which accelerate tumorigenesis through diverse mechanisms. This review focuses on these new findings regarding the roles of TNFR1 and TNFR2 in lung SCC and ADC development in humans and mice, and highlights the potential therapeutic targets of human lung cancers. [ABSTRACT FROM AUTHOR]

In patients with known lung squamous cell carcinoma, it is necessary to be alert to the presence of cancer cell infiltration in the large blood vessels and the heart. In this report, we report a case of a 49-year-old man who was previously diagnosed with squamous cell carcinoma of the lung, underwent autoimmune cell therapy, and was diagnosed posthumously with lung cancer invading the aorta and heart, resulting in severe cardiac tamponade. This case illustrates the value and key points of autopsy in evaluating sudden deaths. [ABSTRACT FROM AUTHOR]

Background: Observational studies showed associations between smoking, and airflow limitation, with lung squamous cell carcinoma (LUSC). However, the causal association of airflow limitation with LUSC and the modification by smoking status for the association remains unclear. Methods: Genetic summary data were obtained from large genome-wide association studies (GWAS). One hundred two single nucleotide polymorphisms (SNPs) for airflow limitation (i.e., FEV1/FVC < 0.7) and 153 SNPs for smoking behavior were used as instrumental variables and the main MR analysis methods. The univariable and multivariable Mendelian Randomization (MR) in a two-sample setting were performed to assess the association of airflow limitation, and smoking behavior with LUSC. Results: In the univariable MR analysis, genetic predisposition towards airflow limitation [Inverse Variance-Weighted (IVW) method Odds Ratio (OR) = 4.83, 95% Confidence Interval (CI) 1.55 to 15.06, P = 0.006], age of smoking initiation (IVW method OR = 0.10, 95%CI 0.02 to 0.36, P < 0.001), cigarettes smoked per day (IVW method OR = 3.10, 95%CI 2.07 to 4.63, P < 0.001), ex-smoking (IVW method OR = 0.47, 95%CI 0.31 to 0.69, P < 0.001), current smoking status (IVW method OR = 13.08, 95%CI 2.53 to 67.84, P = 0.002), pack-years of smoking (Weighted median method OR = 11.49, 95%CI 3.71 to 35.63, P < 0.001) were associated with LUSC. In the multivariable MR analysis, the causal effect of airflow limitation was still observed on LUSC (IVW method OR = 2.97, 95% CI 1.09 to 8.04, P = 0.032 adjusted for age of smoking initiation and cigarettes smoked per day; IVW method OR = 3.24, 95% CI 1.09 to 9.58, P = 0.033 adjusted for ex-smoking, current smoking status, and pack years of smoking; IVW method OR = 2.91, 95% CI 1.01 to 8.41, P = 0.049 adjusted for 5 smoking behaviors mentioned above). Conclusions: Our MR analysis demonstrated that airflow limitation is likely to be an independent predictor of LUSC. [ABSTRACT FROM AUTHOR]

Background: Compared with other lung squamous cell carcinomas (LUSC), pulmonary lymphoepithelioma-like carcinoma (pLELC) is closely associated with Epstein--Barr virus (EBV) infections with a unique molecular profile and immune microenvironment. This study was thus established to compare the treatment response and effectiveness of immunotherapy between pLELC and LUSC. Material and Methods: We enrolled 31 patients with pLELC and 116 with LUSC receiving first-line immunotherapy at three centers in China and compared the treatment response and effectiveness of immunotherapy. Propensity score matching (PSM) was used to balance the differences in baseline data between the two groups. Results: Before PSM, progression-free survival and overall survival were longer in the pLELC group than in the LUSC group (progression-free survival: hazard ratio (HR), 1.67, 95% CI: 1.05-2.63, P = 0.028; overall survival: HR, 1.90, 95% CI: 1.06-3.40, P = 0.028). This remained unchanged after PSM (progression-free survival: HR, 1.79, 95% CI: 1.02-3.15, P = 0.044; overall survival: HR, 2.20; 95% CI: 1.10-4.37, P = 0.022). Conclusion: pLELC showed a clinically meaningful survival benefit compared with traditional LUSC following immunotherapy. Subsequent studies should consider the role of the EBV in the tumor immune microenvironment of pLELC. [ABSTRACT FROM AUTHOR]

Lung squamous cell carcinoma (LSCC) is associated with poor prognosis. Molecular targeting drugs have been demonstrated to be effective for lung adenocarcinoma; however, they are often not effective for LSCC. Kallikrein-related peptidase 13 (KLK13) expression enhances the malignancy of lung adenocarcinoma; however, its expression and crucial role in LSCC remain largely unknown. The present study examined the relationship between the KLK13 expression and clinicopathological features of LSCC. A total of 94 patients diagnosed with LSCC who underwent lobectomy, segmentectomy or wedge resection were selected. KLK13 expression was evaluated through immunostaining of formalin-fixed paraffin-embedded sections of surgical specimens. Of the 94 LSCC samples, 70 exhibited no KLK13 expression, while the remaining 24 exhibited ectopic expression. KLK13 expression in tumors was focal and restricted to the cytoplasm of keratinized cells. LSCC cases were classified into KLK13-negative and KLK13-positive groups, and KLK13 expression was positively associated with E-cadherin expression (P=0.0143). Associations between KLK13 expression and keratinization (P=0.0052) or absence of lymphatic vessel invasion (P=0.0603) were observed; however, these trends did not reach statistical significance. The present findings indicated that KLK13 expression in keratinized LSCC may have a protective role in lymphatic vessel invasion of LSCC, which suggests its significance for therapeutic applications against LSCC. [ABSTRACT FROM AUTHOR]

Background: Macrophages infiltrating the tumor microenvironment are defined as tumor‐associated macrophages (TAMs). TAMs can be polarized into different phenotypes, that is, proinflammatory M1 macrophages or anti‐inflammatory M2 macrophages. Particularly, M2 macrophages promote angiogenesis, wound healing, and tumor growth. This study aimed to evaluate whether M2 TAMs can serve as a useful marker to predict prognosis and benefit from adjuvant chemotherapy in patients with surgically resected lung squamous cell carcinomas (SCCs). Methods: We examined 104 patients with SCC. Tissue microarrays were constructed, and the density of TAMs was analyzed by immunohistochemistry for expression of CD68 and CD163. The relationship between CD68 and CD163 expression and the CD163/CD68 expression rate and clinicopathological characteristics including patient outcomes were investigated. In addition, propensity score matching (PSM) analysis was conducted to test the hypothesis that these cells significantly influenced chemotherapy responses. Results: Univariate analysis revealed that pathological stage, CD163 expression, and the CD163/CD68 expression ratio were significant prognostic factors. Multivariate analysis showed that these factors were all independent prognostic factors. Thirty‐four pairs were determined by using PSM analysis. Patients with a low CD163/CD68 expression ratio benefited more from adjuvant chemotherapy than those with a high ratio. Conclusion: We suggest that M2 TAMs may be a useful marker to predict prognosis and differential benefit from adjuvant chemotherapy in patients with surgically resected lung SCCs. [ABSTRACT FROM AUTHOR]

Background: Lung squamous cell carcinoma (LUSC) is a subtype of non-small cell carcinoma, accounting for about 30% of all lung cancers. Yet, the evaluation of prognostic outcome and therapy response of patients with LUSC remains to be resolved. This study aimed to explore the prognostic value of cell death pathways and develop a cell death-associated signature for predicting prognosis and guiding treatment in LUSC. Methods: Transcriptome profiles and corresponding clinical information of LUSC patients were gathered from The Cancer Genome Atlas (TCGA-LUSC, n = 493) and Gene Expression Omnibus database (GSE74777, n = 107). The cell death-related genes including autophagy (n = 348), apoptosis (n = 163), and necrosis (n = 166) were retrieved from the Kyoto Encyclopedia of Genes and Genomes and Gene Ontology databases. In the training cohort (TCGA-LUSC), LASSO Cox regression was used to construct four prognostic signatures of respective autophagy, apoptosis, and necrosis pathway and genes of three pathways. After comparing the four signatures, the cell death index (CDI), the signature of combined genes, was further validated in the GSE74777 dataset. We also investigated the clinical significance of the CDI signature in predicting the immunotherapeutic response of LUSC patients. Results: The CDI signature was significantly associated with the overall survival of LUSC patients in the training cohort (HR, 2.13; 95% CI, 1.62‒2.82; P < 0.001) and in the validation cohort (HR, 1.94; 95% CI, 1.01‒3.72; P = 0.04). The differentially expressed genes between the high- and low-risk groups contained cell death-associated cytokines and were enriched in immune-associated pathways. We also found a higher infiltration of naive CD4+ T cells, monocytes, activated dendritic cells, neutrophils, and lower infiltration of plasma cells and resting memory CD4+ T cells in the high-risk group. Tumor stemness indices, mRNAsi and mDNAsi, were both negatively correlated with the risk score of the CDI. Moreover, LUSC patients in the low-risk group are more likely to respond to immunotherapy than those in the high-risk group (P = 0.002). Conclusions: This study revealed a reliable cell death-associated signature (CDI) that closely correlated with prognosis and the tumor microenvironment in LUSC, which may assist in predicting the prognosis and response to immunotherapy for patients with LUSC. [ABSTRACT FROM AUTHOR]

Background: The major aim of this research article is to construct an immune-related validation for signature in lung squamous cell carcinoma (LUSC) through analysis integrated bioinformatics analysis. Methods: We constructed an optimized prognostic risk model consisting of five prognostic IR-lncRNAs (PIRlncRNAs) (AC107884.1, LCMT1-AS1, AL163051.1, AC005730.3, and LINC02635). We then performed an examination for survival as well as an unconstrained prognostic examination on the portending risk model to assess and validate the prognostic value of the model. Furthermore, we examined differential immune cells examination of for infiltration between the patients in the model suffering from high and low risk. Results: In this review article, we obtained 546 differentially expressed genes and 21 immune-related genes, identified 654 immune-related lncRNAs (IR-lncRNAs) by co-expression network analysis, and identified 18 PIR-lncRNAs through analysis of univariate Cox. Through analyzing immune escape and immunotherapy, we verified that the influence of immunotherapy in high-risk group patients may be lower. Conclusion: Our findings elucidate the intrinsic molecular biological link between the pathogenic genes of LUSC and immune cells, which has important exploration and reference significance by using precise as well as potential therapy including immunotherapy of patients suffering from LUSC, especially for high-risk patients. [ABSTRACT FROM AUTHOR]

Lung cancer is the second-most-common cancer while being the leading cause of cancer deaths worldwide. It has been found that glucose transporter 1 (GLUT1) and hypoxia-inducible factor 1α (HIF-1α) are overexpressed in various malignancies and that they correlate with the maximum standard uptake values (SUVmax) on 18F-fluorodeoxyglucose-positron emission tomography/computed tomography (18F-FDG PET/CT) and poor prognosis. In this study, we aim to evaluate the relationship between the SUVmax, GLUT1, and HIF-1α expression with primary tumor size, histological type, lymph node metastases, and patient survival. Of the 48 patients with non-small-cell lung cancer, those with squamous cell carcinomas (SCCs) had significantly higher GLUT1 and HIF-1α immunohistochemical expressions in comparison to adenocarcinomas (ACs), while there was no statistically significant difference in FDG accumulation between them. No significant correlation was noted between either GLUT1 or HIF-1α protein expression and FDG uptake and overall survival. However, an analysis of tumor transcriptomics showed a significant difference in overall survival depending on mRNA expression; patients with SCC and high HIF-1α levels survived longer compared to those with low HIF-1α levels, while patients with AC and low GLUT1 levels had a higher average survival time than those with high GLUT1 levels. Further studies are needed to determine the prognostic value of the expression of these factors depending on the histologic type. [ABSTRACT FROM AUTHOR]

Introduction: This study aimed to clarify the correlation between the number of AMs and prognosis and to examine the gene expression of AMs in lung squamous cell carcinoma (SqCC). Methods: We reviewed 124 stage I lung SqCC cases in our hospital and 139 stage I lung SqCC cases in The Cancer Genome Atlas (TCGA) cohort in this study. We counted the number of AMs in the peritumoral lung field (P-AMs) and in the lung field distant from the tumor (D-AMs). Moreover, we performed a novel ex vivo bronchoalveolar lavage fluid (BALF) analysis to select AMs from surgically resected lung SqCC cases and examined the expression of IL10, CCL2, IL6, TGFβ, and TNFα (n = 3). Results: Patients with high P-AMs had significantly shorter overall survival (OS) (p < 0.01); however, patients with high D-AMs did not have significantly shorter OS. Moreover, in TCGA cohort, patients with high P-AMs had a significantly shorter OS (p < 0.01). In multivariate analysis, a higher number of P-AMs were an independent poor prognostic factor (p = 0.02). Ex vivo BALF analysis revealed that AMs collected from the tumor vicinity showed higher expression of IL10 and CCL2 than AMs from distant lung fields in all 3 cases (IL-10: 2.2-, 3.0-, and 10.0-fold; CCL-2: 3.0-, 3.1-, and 3.2-fold). Moreover, the addition of recombinant CCL2 significantly increased the proliferation of RERF-LC-AI, a lung SqCC cell line. Conclusion: The current results indicated the prognostic impact of the number of peritumoral AMs and suggested the importance of the peritumoral tumor microenvironment in lung SqCC progression. [ABSTRACT FROM AUTHOR]

Pulmonary B-cell lymphoma in the extranodal marginal zone of mucosa-associated lymphoid tissue (MALT), a rare tumor originating from bronchial mucosa-associated lymphoid tissue, is the major histologic type of primary pulmonary lymphoma. Combined lung squamous cell carcinoma with pulmonary MALT lymphoma is rare. A 63-year-old male patient presented to the hospital because of a dry cough, and chest CT showed soft tissue density nodules in the upper lobe of the right lung, the boundary was visible lobulation and spiculation, and the middle lobe of the right lung showed patchy shadow, moderate enhancement, associated with bronchial traction. After a multidisciplinary diagnosis and treatment (MDT) discussion, surgical resection was done for the patient, and postoperative pathological results showed pulmonary MALT lymphoma combined with lung squamous carcinoma. For complex pulmonary multiple lesions, judgment needs to be made after MDT discussion, and timely intervention is required for lesions suspicious of malignancy. There are no uniform recommendations for the management of mixed tumors of the lung, and an individualized treatment plan needs to be developed based on the patient's actual condition. [ABSTRACT FROM AUTHOR]

Background: Cancer stemness has been proven to affect tumorigenesis, metastasis, and drug resistance in various cancers, including lung squamous cell carcinoma (LUSC). We intended to develop a clinically applicable stemness subtype classifier that could assist physicians in predicting patient prognosis and treatment response. Methods: This study collected RNA-seq data from TCGA and GEO databases to calculate transcriptional stemness indices (mRNAsi) using the one-class logistic regression machine learning algorithm. Unsupervised consensus clustering was conducted to identify a stemness-based classification. Immune infiltration analysis (ESTIMATE and ssGSEA algorithms) methods were used to investigate the immune infiltration status of different subtypes. Tumor Immune Dysfunction and Exclusion (TIDE) and Immunophenotype Score (IPS) were used to evaluate the immunotherapy response. The pRRophetic algorithm was used to estimate the efficiency of chemotherapeutic and targeted agents. Two machine learning algorithms (LASSO and RF) and multivariate logistic regression analysis were performed to construct a novel stemness-related classifier. Results: We observed that patients in the high-mRNAsi group had a better prognosis than those in the low-mRNAsi group. Next, we identified 190 stemness-related differentially expressed genes (DEGs) that could categorize LUSC patients into two stemness subtypes. Patients in the stemness subtype B group with higher mRNAsi scores exhibited better overall survival (OS) than those in the stemness subtype A group. Immunotherapy prediction demonstrated that stemness subtype A has a better response to immune checkpoint inhibitors (ICIs). Furthermore, the drug response prediction indicated that stemness subtype A had a better response to chemotherapy but was more resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Finally, we constructed a nine-gene-based classifier to predict patients' stemness subtype and validated it in independent GEO validation sets. The expression levels of these genes were also validated in clinical tumor specimens. Conclusion: The stemness-related classifier could serve as a potential prognostic and treatment predictor and assist physicians in selecting effective treatment strategies for patients with LUSC in clinical practice. [ABSTRACT FROM AUTHOR]

Lung squamous cell carcinoma (LUSC) is associated with a worse prognosis than other histological subtypes of non-small cell lung cancer. Due to the vital role of CD8+ T cells in anti-tumor immunity, the characterization of CD8+ T cell infiltration-related (CTLIR) gene signature in LUSC is worthy of in-depth exploration. In our study, tumor tissues of LUSC patients from Renmin Hospital of Wuhan University were stained by multiplex immunohistochemistry to evaluate the density of infiltrated CD8+ T cells and explore the correlation with immunotherapy response. We found that the proportion of LUSC patients who responded to immunotherapy was higher in the high density of CD8+ T cell infiltration group than in the low density of CD8+ T cell infiltration group. Subsequently, we collected bulk RNA-sequencing data from The Cancer Genome Atlas (TCGA) database. The abundance of infiltrating immune cells in LUSC patients was analyzed by using CIBERSORT algorithm, and weighted correlation network analysis was performed to identify the co-expressed gene modules related to CD8+ T cells. We then developed a prognostic gene signature based on CD8+ T cell co-expressed genes and calculated the CTLIR risk score, which stratified LUSC patients into high-risk and low-risk groups. With univariate and multivariate analyses, the gene signature was identified as an independent prognostic factor in LUSC patients. The overall survival of LUSC patients in the high-risk group was significantly shorter than that of the low-risk group in the TCGA cohort, which was validated in Gene Expression Omnibus datasets. We analyzed immune cell infiltration in the tumor microenviroment and found fewer CD8+ T cells and more regulatory T cell infiltration in the high-risk group, which is characterized as an immunosuppressive phenotype. Furthermore, the LUSC patients in the high-risk group were predicted to have a better response to immunotherapy than those in the low-risk group when treated with PD-1 and CTLA4 inhibitors. In conclusion, we performed a comprehensive molecular analysis of the CTLIR gene signature in LUSC and constructed a risk model for LUSC patients to predict prognosis and immunotherapy response. [ABSTRACT FROM AUTHOR]

Introduction: Patients presenting with brain metastases (BMs) from lung squamous cell carcinoma (LUSC) often encounter an extremely poor prognosis. A well‐developed prognostic model would assist physicians in patient counseling and therapeutic decision‐making. Methods: Patients with LUSC who were diagnosed with BMs between 2000 and 2018 were reviewed in the Surveillance, Epidemiology, and End Results (SEER) database. Using the multivariate Cox regression approach, significant prognostic factors were identified and integrated. Bootstrap resampling was used to internally validate the model. An evaluation of the performance of the model was conducted by analyzing the area under the curve (AUC) and calibration curve. Results: A total of 1812 eligible patients' clinical data was retrieved from the database. Patients' overall survival (OS) was significantly prognosticated by five clinical parameters. The nomogram achieved satisfactory discrimination capacity, with 3‐, 6‐, and 9‐month AUC values of 0.803, 0.779, and 0.760 in the training cohort and 0.796, 0.769, and 0.743 in the validation cohort. As measured by survival rate probabilities, the calibration curve agreed well with actual observations. There was also a substantial difference in survival curves between the different prognostic groups stratified by prognostic scores. For ease of access, the model was deployed on a web‐based server. Conclusions: In this study, a nomogram and a web‐based predictor were developed to assist physicians with personalized clinical decisions and treatment of patients who presented with BMs from LUSC. [ABSTRACT FROM AUTHOR]

Objective To investigate the effect of albumin-bound paclitaxel (ab-PTX) on programmed death ligand 1（PD-L1) expression in lung squamous cell carcinoma H520 cells and its possible mechanism of action. Methods 1 Determination of ab-PTX concentration and duration of effect used in this study： H520 cells were cultured with 0. 001，0. 01，0. 1，1, and 10 μmol/L ab-PTX for 24，36, and 48 h. The cell proliferation inhibition rate was calculated, and finally, the 48 h with the most significant cell proliferation inhibition and its corresponding ab-PTX half maximal inhibitory concentration (IC50) value (1. 221 μmol/L) were selected for subsequent experiments. 2 Observation of PD-L1 expression in H520 cells after administration of different concentrations of ab-PTX in culture： lung squamous carcinoma H520 cells were cultured in vitro with 0，0. 001，0. 01，0. 1，1, and 10 μmol/L ab-PTX in culture medium for 48 h (based on the duration of ab-PTX action determined in 1）, and PD-L1 positive cell rate was measured by flow cytometry and PD-L1 mRNA was detected by qRT-PCR. 3 Observation of extracellular-regulated protein kinase (ERK) and p-ERK expression after administration of ab-PTX, ERK inhibitor alone or in combination in culture： the H520 cells were divided into the Control group, ab-PTX group, PD98059（ERK inhibitor) group, TPA (ERK activator) group, ab-PTX combined with PD98059 group, ab-PTX combined with TPA group; cells in the ab-PTX group were added with 1. 221 μmol/L ab-PTX (based on the ab-PTX concentration determined in 1）; in the PD98059 group，50 μmol/L PD98059 was added; in the TPA group, 50 nmol/L TPA was added; in the ab-PTX combined with PD98059 group，1. 221 μmol/L ab-PTX, and 50 μmol/L PD98059 were added; in the ab-PTX combined with TPA group，1. 221 μmol/L ab-PTX and 50 nmol/L TPA were added, and cells were cultured for 48 h. The PD-L1 positive cell rate was measured by flow cytometry, and ERK and p-ERK were detected by Western blotting. Results 1 PD-L1 expression in H520 cells after different concentrations of ab-PTX culture： The PD-L1 positive cell rates of H520 cell line cultured with 0，0. 001，0. 01，0. 1，1, and 10 μmol/L ab-PTX were 33. 9%±1. 1%，39. 5%±2. 7%，52. 6%±3. 3%，60. 3%±3. 4%，69. 9%±2. 3%, and 77. 8%±2. 2%, respectively, and the relative expression levels of PD-L1 mRNA were 1. 06±0. 07，1. 65±0. 22，2. 12±0. 16，3. 25±0. 11，3. 79±0. 14, and 4. 45±0. 28, respectively; with the increase of ab-PTX concentration, the PD-L1 positive cell rate and the PD-L1 mRNA relative expression gradually increased (all P<0. 05）. 2 Expression of ERK, p-ERK, and PD-L1 positive cell rate after the administration of ab-PTX, ERK inhibitor alone or in combination in culture： Compared with the Control group, the relative expression of p-ERK increased in the ab-PTX group, decreased in the PD98059 group and increased in the TPA group; the relative expression of p-ERK decreased in the ab-PTX combined with PD98059 group compared with the ab-PTX group and increased in the PD98059 group compared with the ab-PTX group; the relative expression of p-ERK was elevated in the abPTX combined with TPA group compared with the ab-PTX group and the TPA group (all P<0. 05). Compared with the Control group, PD-L1 positive cell rate increased in the ab-PTX group; compared with the ab-PTX group, the PD-L1 positive cell rate in the ab-PTX combined with PD98059 group decreased; compared with the PD98059 group, PD-L1 positive cell rate in the ab-PTX combined with PD98059 group increased; compared with the ab-PTX group and the TPA group, PD-L1 positive cell rate in the ab-PTX combined with TPA group increased (all P<0. 05). Conclusion Ab-PTX can upregulate PD-L1 expression in a dose-dependent manner within a certain range. The mechanism of action of ab-PTX up-regulating PD-L1 expression may be partly related to the activation of ERK signaling pathway. [ABSTRACT FROM AUTHOR]

Purpose: Metastatic lung squamous cell carcinoma (LUSC) is one of the most common causes of cancer death worldwide. As yet, however, the molecular mechanism underlying LUSC metastasis remains elusive. In this study, we report a novel mechanism involving signaling interactions between FGF19 and GLI2 that could drive the progression of LUSC. Methods: The expression of FGF19 in human LUSC samples was assessed by immunohistochemistry. The concentration of FGF19 in serum samples was assessed by ELISA. RNA sequencing, scratch wound-healing, trans-well, GO analysis, GSEA, luciferase reporter, Western blotting, immunofluorescence and immunohistochemistry assays, as well as an animal model were used to investigate the molecular mechanism underlying FGF19 driven LUSC progression. The therapeutic effect of a GLI2 inhibitor was determined using both in vitro cellular and in vivo animal experiments. Results: We found that FGF19, a member of the fibroblast growth factor family, plays a crucial role in the invasion and metastasis of LUSC, and identified GLI2 as an important downstream effector of FGF19 involved in metastasis. Surprisingly, we found that FGF19 and GLI2 could reciprocally induce the expression of each other, and form a positive feedback loop to promote LUSC cell invasion and metastasis. These findings were corroborated by an association between a poor prognosis of LUSC patients and FGF19/GLI2 co-expression. In addition, we found that the GLI inhibitor GANT61 could effectively reduce FGF19-mediated LUSC invasion and metastasis. Conclusion: Our data suggest that FGF19 may serve as a novel biomarker for predicting metastatic LUSC. Intervening with the FGF19-GLI2 feedback loop may be a strategy for the treatment of FGF19-driven LUSC metastasis. [ABSTRACT FROM AUTHOR]

Objective Data on preoperative immunotherapy combined with chemotherapy in potentially resectable lung squamous cell carcinoma (LUSC) remain scarce. This study was designed to investigate the safety and efficacy of preoperative immunotherapy and chemotherapy for stage IIIA-IIIB LUSC. Methods This study consecutively enrolled stage IIIA-IIIB LUSC who received preoperative immunotherapy combined with chemotherapy between January 2019 and July 2021. Patients received two to four cycles of immunotherapy combined with platinum-based doublet chemotherapy (platinum + paclitaxel) before surgery. Patients were assessed radiographically every one to two cycles until surgery. Postoperative pathological evaluation was also performed. Follow-up was performed until at least 3 months after surgery. Results Sixty-five patients with stage IIIA-IIIB LUSC were enrolled. The objective response rate was 78.46% (51/65), and no patients had progressive disease. Fifty-seven patients underwent surgery, and 55 patients achieved R0 resection. There were no perioperative deaths. The rate of pathological complete response (pCR) was 31.58% (18/57) and major pathological response was 68.42% (39/57). The incidence of grade 3 and 4 adverse reactions was 21.21 and 1.54%, respectively. Conclusion Perioperative immunotherapy combined with chemotherapy followed by surgical resection for male patients with stage IIIA-IIIB LUSC was effective with a tolerable toxicity profile. [ABSTRACT FROM AUTHOR]

Background: Observational epidemiological studies suggest that lung cancer risk may be raised by gastroesophageal reflux disease (GERD); however, the causal relationship between them remains unknown. Our study performed the two‐sample Mendelian randomization (MR) approach to examine the causal relationship between GERD and lung cancer. Methods: Instrument variables were found to be independent single nucleotide polymorphisms (SNPs) that were highly linked with GERD (n = 129,080). Summary data from genome‐wide association studies (GWAS) data were used to determine outcomes for lung cancer (n = 11,348), squamous cell lung cancer (LUSC), and lung adenocarcinoma (LUAD). In this study, three MR statistical techniques (inverse variance weighted (IVW), MR‐Egger, and weighted median) were used to examine the potential causative relationship between GERD and the risk of lung cancer. Cochran's Q test, MR‐Egger intercept test, leave‐one‐out analysis, and the funnel plot were all used in sensitivity analyses. Results: The main IVW method revealed that GERD substantially increased the risk of lung cancer [odds ratio (OR) = 1.37; 95% CI 1.16–1.63, p = 0. 0003], which was also supported by weighted median and MR‐Egger analyses. Using IVW estimate, similar causal relationships were also observed between GERD and LUSC (OR = 1.56; 95% CI 1.26–1.93, p = 5.35 × 10−5) and LUAD (OR = 1.45; 95% CI 1.09–1.93, p = 0.01). Although potential heterogeneity was observed in some studies, random effect IVW was not violated by the heterogeneity, indicating that the causal effect was robust. Conclusion: GERD was positively associated with the risk of lung cancer, for LUSC and LUAD. This study shed light on a new direction for prevent strategy of lung cancer and therapeutic perspectives in patients with GERD. [ABSTRACT FROM AUTHOR]

Background: Lung squamous cell carcinoma (LUSC) currently has limited therapeutic options because of the relatively few validated targets and the lack of clinical drugs for some of these targets. Although NRF2/NFE2L2 pathway activation commonly occurs in LUSC, NRF2 has predominantly been studied in other cancer models. Here, we investigated the function of NRF2 in LUSC, including in organoid models, and we explored the activity of a small molecule NRF2 inhibitor ML385, which has not previously been investigated in LUSC. Methods: We first explored the role of NRF2 signaling in LUSC cancer cell line and organoid proliferation through NRF2 knockdown or ML385 treatment, both in vivo and in vitro. Next, we performed Western blot and immunofluorescence assays to determine the effect of NRF2 inhibition on PI3K‐mTOR signaling. Finally, we used cell viability and clonogenic assays to explore whether ML385 could sensitize LUSC cancer cells to PI3K inhibitors. Results: We find that downregulation of NRF2 signaling inhibited proliferation of LUSC cancer cell lines and organoids, both in vivo and in vitro. We also demonstrate that inhibition of NRF2 reduces PI3K‐mTOR signaling, with two potential mechanisms being involved. Although NRF2 promotes AKT phosphorylation, it also acts downstream of AKT to increase RagD protein expression and recruitment of mTOR to lysosomes after amino acid stimulation. We also find that ML385 potentiates LUSC growth inhibition by a pan‐PI3K inhibitor, which correlates with stronger inhibition of PI3K‐mTOR signaling. Conclusions: Our data provide additional support for NRF2 promoting LUSC growth through PI3K‐mTOR activation and support development of NRF2 inhibitors for the treatment of LUSC. [ABSTRACT FROM AUTHOR]

Lung squamous cell carcinoma (LUSC) is the second most common subtype of lung cancer, accounting for a majority of lung cancer-related deaths. Detection or diagnosis of cancer at an early stage is an unmet clinical need that is being actively explored. In this study, we aimed to identify potential biomarkers for LUSC, by screening expression status of all human genes against LUSC patient samples available with The Cancer Genome Atlas (TCGA). This led to the identification of several genes that are upregulated in LUSC. Further analysis revealed that many of these genes also show higher expression at the protein level not only in lung cancer but also in other cancers. Additionally, some of these genes show stage-dependent higher expression and are associated with statistically significant poor survival of LUSC patients. As per our results, more than 60 genes are overexpressed in LUSC at the level of mRNA and some at the protein level. Thus, we identified genes such as MCC1, MRPL47, CRYGS, HSP40, DNAJC19, GMPS and PARL as novel potential biomarkers for LUSC in this study. We believe that these genes hold great potential as LUSC biomarkers for early detection as the data are derived from patient samples. [ABSTRACT FROM AUTHOR]

Simple Summary: Adenocarcinomas represent nearly 40% of all cancer types, and account for more than 70% of cancer-related deaths. Labyrinthin (LAB) is a novel cancer neoantigen expressed on the surface of adenocarcinoma cells of various cancer types. Several treatment strategies are being developed for targeting LAB as a pan-adenocarcinoma target. This study aimed to develop an immunohistochemistry (IHC) assay to detect LAB expression on archival tumor specimens of non-small-cell lung cancer (NSCLC) and characterize the clinical significance of LAB expression. We also explored LAB mRNA expression by RNA sequencing using NSCLC data in The Cancer Genome Atlas (TCGA), and correlated with clinical phenotype and outcome. Further study is warranted to validate LAB IHC and LAB RNA expression as independent biomarkers for selecting patients for cancer therapy targeting LAB. To determine Labyrinthin (LAB) expression in non-small-cell lung cancer (NSCLC), we immunostained and scored for LAB immunohistochemistry (IHC) expression on sections of tissue microarrays (TMAs) prepared from 256 archival tissue blocks of NSCLC. Propensity-score-weighted Kaplan–Meier curves and weighted Cox models were used to associate LAB expression with overall survival. LAB mRNA expression was assessed in The Cancer Genome Atlas (TCGA) and correlated with clinical phenotype and outcome. Positive LAB IHC expression (>5% of tumor cells) was detected in 208/256 (81.3%) of NSCLC samples, and found in both lung adenocarcinomas (LUAD) and lung squamous cell cancer (LUSC). LAB positivity was associated with poor overall survival (HR = 3.56, 95% CI: 2.3–5.4; p < 0.0001) and high tumor differentiation grade or metastasis compared with negative LAB expression. Univariant and multivariate survival analyses demonstrated LAB expression as an independent prognostic factor for NSCLC patients. LAB RNA expression in TCGA-LUAD was higher in primary and advanced-stage tumors than in normal tissue, and was associated with poorer overall survival. No significant differences or associations were found with LAB RNA expression in TCGA-LUSC. The LAB IHC assay is being used to identify candidate cancer patients for the first-in-human phase I trial evaluating the LAB vaccines (UCDCC#296, NCT051013560). [ABSTRACT FROM AUTHOR]