Trim27 aggravates airway inflammation and oxidative stress in asthmatic mice via potentiating the NLRP3 inflammasome.

Asthma is a prevalent chronic respiratory disease, yet understanding its ecology and pathogenesis remains a challenge. Trim27, a ubiquitination ligase belonging to the TRIM (tripartite motif-containing) family, has been implicated in regulating multiple pathophysiological processes such as inflammation, oxidative stress, apoptosis, and cell proliferation. However, the role of Trim27 in asthma has not been investigated. Our study found that Trim27 expression significantly increases in the airway epithelium of asthmatic mice. Knockdown of Trim27 expression effectively relieved ovalbumin (OVA)-induced airway hyperresponsiveness (AHR) and lung tissue histopathological changes. Moreover, Trim27 knockdown exhibited a significant reduction in airway inflammation and oxidative stress in asthmatic mice, and in vitro analysis confirmed the favorable effect of Trim27 deletion on inflammation and oxidative stress in mouse airway epithelial cells. Furthermore, our study revealed that deletion of Trim27 in MLE12 cells significantly decreased NLRP3 inflammasome activation, as evidenced by reduced expression of NLRP3, ASC, and pro-IL-1ß mRNA. This downregulation was reversed when Trim27, but not its mutant lacking ubiquitination ligase activity, was replenished in these cells. Consistent with these findings, protein levels of NLRP3, pro-caspase-1, pro-IL-1ß, cleaved-caspase-1, and cleaved-IL-1ß were higher in Trim27-replenished cells compared to cells expressing Trim27C/A. Functionally, the downregulation of IL-1ß and IL-18 levels induced by Trim27 deletion was rescued by replenishing Trim27. Overall, our findings provide evidence that Trim27 contributes to airway inflammation and oxidative stress in asthmatic mice via NLRP3 inflammasome activation, providing crucial insights into potential therapeutic interventions targeting Trim27 as a way to treat asthma.

Exploring the multifaceted effects of Interleukin-1 in lung cancer: From tumor development to immune modulation.

Lung cancer, acknowledged as one of the most fatal cancers globally, faces limited treatment options on an international scale. The success of clinical treatment is impeded by challenges such as late diagnosis, restricted treatment alternatives, relapse, and the emergence of drug resistance. This predicament has led to a saturation point in lung cancer treatment, prompting a rapid shift in focus towards the tumor microenvironment (TME) as a pivotal area in cancer research. Within the TME, Interleukin-1 (IL-1) is abundantly present, originating from immune cells, tissue stromal cells, and tumor cells. IL-1's induction of pro-inflammatory mediators and chemokines establishes an inflammatory milieu influencing tumor occurrence, development, and the interaction between tumors and the host immune system. Notably, IL-1 expression in the TME exhibits characteristics such as staging, tissue specificity, and functional pluripotency. This comprehensive review aims to delve into the impact of IL-1 on lung cancer, encompassing aspects of occurrence, invasion, metastasis, immunosuppression, and immune surveillance. The ultimate goal is to propose a novel treatment approach, considering the intricate dynamics of IL-1 within the TME.

ncRNAs-mediated TIMELESS overexpression in lung adenocarcinoma correlates with reduced tumor immune cell infiltration and poor prognosis.

Lung adenocarcinoma (LUAD) has a poor prognosis. Circadian genes such as TIMELESS have been associated with several pathologies, including cancer. The expression of TIMELESS and the relationship between TIMELESS, infiltration of tumors and prognosis in LUAD requires further investigation. In this study, we investigated the expression of TIMELESS and its association with survival across several types of human cancer using data from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression Program. Noncoding RNAs (ncRNAs) regulating overexpression of TIMELESS in lung adenocarcinoma (LUAD) were explored with expression, correlation, and survival analyses. Immune cell infiltration and biomarkers were analyzed between different TIMELESS expression levels. The relationship between TIMELESS expression and immunophenoscores, which were used to predict response to immunotherapy, was evaluated. TIMELESS was identified as a potential oncogene in LUAD. NcRNA analysis showed MIR4435-2HG/hsa-miR-1-3p may interact with TIMELESS in a competitive endogenous RNA network in LUAD tumor tissues. Most immune cells were significantly decreased in TCGA LUAD tumor tissues with high TIMELESS expression except for CD4+T cells and Th2 cells. TIMELESS expression in LUAD tumor tissues was significantly negatively correlated with neutrophil biomarkers, dendritic cell biomarkers (HLA-DPB1, HLA-DQB1, HLA-DRA, HLA-DPA1, CD1C) and an immunophenoscore that predicted outcomes associated with the use of immune checkpoint inhibitors. These findings imply that ncRNAs-mediated TIMELESS overexpression in LUAD tumor tissues correlated with poor prognosis, reduced immune cell infiltration in the tumor microenvironment, and poor response to immune checkpoint inhibitors.

A Review of Advances in the Surgical Treatment of Coronary Heart Disease and Lung Cancer.

Lung cancer is currently the most prevalent and fatal malignant tumor in China. Additionally, the incidence of coronary heart disease is steadily increasing. Both diseases exhibit a higher risk of mortality with age, particularly among elderly patients. Moreover, these diseases are interconnected and share common risk factors. However, the treatment options for patients suffering from both lung cancer and coronary heart disease lack clarity and standardized criteria. This article critically examines the literature on surgical interventions for patients with lung cancer complicated by coronary artery disease during the period from January 2021 to December 2022. It summarizes the safety and effectiveness of these interventions and highlights the various surgical options available for different patient profiles.

Mendelian randomization analyses explore the relationship between cathepsins and lung cancer.

Lung cancer, a major contributor to cancer-related fatalities worldwide, involves a complex pathogenesis. Cathepsins, lysosomal cysteine proteases, play roles in various physiological and pathological processes, including tumorigenesis. Observational studies have suggested an association between cathepsins and lung cancer. However, the causal link between the cathepsin family and lung cancer remains undetermined. This study employed Mendelian randomization analyses to investigate this causal association. The univariable Mendelian randomization analysis results indicate that elevated cathepsin H levels increase the overall risk of lung cancer, adenocarcinoma, and lung cancer among smokers. Conversely, reverse Mendelian randomization analyses suggest that squamous carcinoma may lead to increased cathepsin B levels. A multivariable analysis using nine cathepsins as covariates reveals that elevated cathepsin H levels lead to an increased overall risk of lung cancer, adenocarcinoma, and lung cancer in smokers. In conclusion, cathepsin H may serve as a marker for lung cancer, potentially inspiring directions in lung cancer diagnosis and treatment.

Biochar alters the persistence of PAHs in soils by affecting soil physicochemical properties and microbial diversity: A meta-analysis.

Polycyclic aromatic hydrocarbons (PAHs) pollution in soil is a pervasive environmental issue worldwide. Although biochar has the potential to immobilize PAHs in soils, there remains a study gap in the use of systematic analyses to assess the effectiveness of biochar for PAH removal and the factors that affect biochar. Hence, a meta-analysis utilizing 56 published studies was aimed to assess the impact of biochar on the PAH content, soil physicochemical properties, and microbial diversity in PAH-contaminated soils and to elucidate what factors impact the capability of biochar to alter PAH persistence. With biochar application, soil Ctot PAH concentrations were significantly reduced (15.4%), while the levels of Cfree PAHs and Cbioacc PAHs were reduced by 55.6% and 46.5%, respectively. Additionally, biochar improved the physicochemical properties of PAH-contaminated soil and increased the diversity of microorganisms. Particularly, the relative abundance of PAH degraders increased significantly (43.7%), which indicated that PAH biodegradation was significantly enhanced. Soil physicochemical properties and biochar production conditions are indispensable for the study of the PAH persistence. The overall findings revealed that the pyrolysis of woody biochar at 300-500 °C was beneficial for reducing the PAH persistence in acidic, coarse, or fine and high soil organic matter content (>20 g/kg) soils.

Endoplasmic reticulum stress-related gene model predicts prognosis and guides therapies in lung adenocarcinoma.

BACKGROUND: The prognosis and survival of lung adenocarcinoma (LUAD) patients are still not promising despite recent breakthroughs in treatment. Endoplasmic reticulum stress (ERS) is a self-protective mechanism resulting from an imbalance in quality control of unfolded proteins when cells are stressed, which plays an active role in lung cancer development, but the relationship between ERS and the pathological characteristics and clinical prognosis of LUAD patients remains unclear. METHODS: LASSO and Cox regression were applied based on sequencing information to construct the model, which was validated to be robust. The risk scores of the patients were calculated using the formula provided by the model, and the patients were divided into high and low-risk groups according to the median cut-off of risk scores. Cox regression analysis identifies independent prognostic factors for these patients, and enrichment analysis of prognosis-related genes was also performed. The relationship between risk scores and tumor mutation burden (TMB), cancer stem cell index, and drug sensitivity was explored. RESULTS: We constructed a 13-gene prognostic model for LUAD patients. Patients in the high-risk group had worse overall survival, lower immune score and ESTIMATE score, higher TMB, higher cancer stem cell index, and higher sensitivity to conventional chemotherapeutic agents. In addition, we constructed a nomogram that predicts 5-year survival in LUAD patients, which helps clinicians to foresee the prognosis from a new perspective. CONCLUSIONS: Our results highlight the association of ERS with LUAD and the potential use of ERS in guiding treatment.

Risk factors for postoperative myasthenia gravis in patients with thymoma without myasthenia gravis: A systematic review and meta-analysis.

Introduction: According to the principle, thymomas combined with myasthenia gravis (MG) require surgical treatment. However, patients with non-MG thymoma rarely develop MG and early- or late-onset MG after surgery is called postoperative MG (PMG). Our study used a meta-analysis to examine the incidence of PMG and risk factors. Methods: Relevant studies were searched for in the PubMed, EMBASE, Web of Science, CNKI,and Wanfang databases. Investigations that directly or indirectly analyzed the risk factors for PMG development in patients with non-MG thymoma were included in this study. Furthermore, risk ratios (RR) with 95% confidence intervals (CI) were pooled using meta-analysis, and fixed-effects or random-effects models were used depending on the heterogeneity of the included studies. Results: Thirteen cohorts containing 2,448 patients that met the inclusion criteria were included. Metaanalysis revealed that the incidence of PMG in preoperative patients with non-MG thymoma was 8%. Preoperative seropositive acetylcholine receptor antibody (AChR-Ab) (RR = 5.53, 95% CI 2.36 - 12.96, P<0.001), open thymectomy (RR =1.84, 95% CI 1.39 - 2.43, P<0.001), non-R0 resection (RR = 1.87, 95% CI 1.36 - 2.54, P<0.001), world health organization (WHO) type B (RR =1.80, 95% CI 1.07 - 3.04, P= 0.028), and postoperative inflammation (RR = 1.63, 95% CI 1.26 - 2.12, P<0.001) were the risk factors for PMG in patients with thymoma. Masaoka stage (P = 0.151) and sex (P = 0.777) were not significantly associated with PMG. Discussion: Patients with thymoma but without MG had a high probability of developing PMG. Although the incidence of PMG was very low, thymectomy could not completely prevent the occurrence of MG. Preoperative seropositive AChR-Ab level, open thymectomy, non-R0 resection, WHO type B, and postoperative inflammation were risk factors for PMG. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022360002.

Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer's Disease.

Lung cancer is the most common malignancy and is responsible for the largest cancer-related mortality worldwide. Alzheimer's disease is a degenerative neurological disease that burdens healthcare worldwide. While the two diseases are distinct, several transcriptomic studies have demonstrated they are linked. However, no concordant conclusion on how they are associated has been drawn. Since these studies utilized conventional bioinformatics methods, such as the differentially expressed gene (DEG) analysis, it is naturally expected that the proportion of DEGs having either the same or inverse directions in lung cancer and Alzheimer's disease is substantial. This raises the inconsistency. Therefore, a novel bioinformatics method capable of determining the direction of association is desirable. In this study, the moderated t-tests were first used to identify DEGs that are shared by the two diseases. For the shared DEGs, separate autoencoder (AE) networks were trained to extract a one-dimensional representation (pseudogene) for each disease. Based on these pseudogenes, the association direction between lung cancer and Alzheimer's disease was inferred. AE networks based on 266 shared DEGs revealed a comorbidity relationship between Alzheimer's disease and lung cancer. Specifically, Spearman's correlation coefficient between the predicted values using the two AE networks for the Alzheimer's disease test set was 0.825 and for the lung cancer test set was 0.316. Novel bioinformatics methods such as an AE network may help decipher how distinct diseases are associated by providing the refined representations of dysregulated genes.

Prognostic value of tumor size in thymic epithelial tumors: A systematic review and meta-analysis.

BACKGROUND: Whether the size of thymic epithelial tumors (TETs) has an impact on prognosis has long been a controversial issue. Our study was designed to investigate the value of tumor size in the prognosis (overall survival (OS) and relapse-free survival) of patients with TETs. METHODS: We searched the databases such as PubMed, EMBASE, Web of Science, and clinical trials registration system for articles illustrating the impact of tumor size on survival data in TETs patients. We did a meta-analysis for OS and relapse-free survival. RESULTS: We recruited 9 studies in our meta-analysis. Our study illustrates that TETs patients with small tumor size had better relapse-free survival (hazard ratio = 1.66, 95% confidence interval 1.18-2.35, P = .004) and OS (hazard ratio = 1.93, 95% confidence interval 1.30-2.80, P = .001) in comparison to patients with large tumor size. CONCLUSIONS: In conclusion, the results of our meta-analysis showed that TET size was significantly associated with overall and relapse-free survival of patients, with relatively small tumors tending to have a better prognosis.

The anticancer effects of curcumin and clinical research progress on its effects on esophageal cancer.

Esophageal cancer (EC) is a common tumor of the gastrointestinal system and a major threat to human health. The etiology and incidence of EC vary depending on the type of pathology. Owing to the unique physiological structure of the esophagus and the poor biological behavior of EC, the treatment modalities available are limited, and the prognosis of patients is relatively poor. Curcumin is a type of natural phytochemical belonging to the class of phenolic compounds. It exerts favorable anticancer effects on various cancers. A growing body of evidence indicates that curcumin suppresses tumor development and progression by inhibiting tumor cell proliferation, invasion, and migration, thus inducing apoptosis, regulating microRNA expression, reversing multidrug resistance, and inducing sensitivity to the therapeutic effect of chemoradiotherapy. Multiple cellular molecules, growth factors, and genes encoding proteins participating in different signaling pathways interact with each other to contribute to the complex and orderly anticancer effect. The efficacy and safety of curcumin have been established in preclinical studies for EC and clinical trials for other cancers. However, the low bioavailability of curcumin limits its clinical application. Therefore, the modification of curcumin analogs, the combination of curcumin with other drugs or therapies, and the use of novel nanocarriers have been widely investigated to improve the clinical effects of curcumin in EC.

Pretreatment "prognostic nutritional index" as an indicator of outcome in lung cancer patients receiving ICI-based treatment: Systematic review and meta-analysis.

BACKGROUND: The pretreatment prognostic nutritional index (PNI) is an indicator of nutritional and immune status, and has potential use as a predictor of survival in cancer patients. Several retrospective studies have used the PNI to predict the outcome of lung cancer patients receiving different immune checkpoint inhibitors (ICIs), but the results have been inconsistent. The objective of our study is to assess the relationship of pretreatment PNI with survival outcomes in lung cancer patients who received ICI-based treatments by meta-analysis. METHODS: We searched the EMBASE, PubMed, Cochrane Library, American Society of Clinical Oncology, and European Society of Medical Oncology databases to identify studies that reported overall survival (OS) or progression-free survival (PFS) in eligible patients. Eight studies were eligible based on predefined inclusion and exclusion criteria. Data and pooled indicators were extracted from these studies. Meta-analysis was used to analyze hazard ratios (HRs) and 95% confidence intervals (CIs) for OS and/or PFS and the prognostic value of pretreatment PNI. We completed the registration of the research protocol (Registration number: INPLASY202240087, DOI number: 10.37766/inplasy2022.4.0087). RESULTS: We analyzed data from 8 eligible studies (831 patients). Meta-analysis showed that relative to patients with low pretreatment PNI, those with a high pretreatment PNI had better OS (HR = 2.50, 95% CI = 1.44-4.33, P = .001) and better PFS (HR = 1.94, 95% CI = 1.56-2.42, P < .001). Sensitivity analysis indicated these results were robust. There was also no evidence of publication bias. CONCLUSION: Lung cancer patients receiving ICI-based treatments who had higher pretreatment PNI had better OS and PFS.

STAT3 and p63 in the Regulation of Cancer Stemness.

Signal transducer and activator of transcription 3 (STAT3) is a transcription factor with many important functions in normal and transformed cells. STAT3 regulatory activities are highly complex as they are involved in various signaling pathways in different cell types under different conditions. Biologically, STAT3 is a regulative factor for normal and cancer stem cells (CSCs). Tumor protein p63 (p63), a member of the p53 protein family, is involved in these biological processes and is also physically and functionally associated with STAT3. STAT3 activation occurs during various aspects of carcinogenesis, including regulation of CSCs properties. In combination with p63, STAT3 is a possible biological marker of CSCs and a major regulator of maintenance of stemness in CSCs. We summarized the STAT3 functions and regulation and its role in CSC properties and highlight how these are affected by its associations with p63.

Exploring exosome data to identify prognostic gene signatures for lung adenocarcinoma.

Background: Exosomes are involved in tumorigenesis, growth and metastasis. However, the prognostic value of exosome-related genes in lung adenocarcinoma (LUAD) remains unclear. Methods: Clinical and transcriptome data from The Cancer Genome Atlas LUAD cohort were used to construct a model based on exosome-related genes, which was validated with LUAD data from the Gene Expression Omnibus (GEO). Gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis were used to explore underlying mechanisms; the single-sample gene set enrichment analysis score was used to determine immune functions. Results: A 19-exosome-related gene signature for overall survival in LUAD was predictive in both The Cancer Genome Atlas and GEO LUAD cohorts. Immune-related and extracellular matrix-related pathways were enriched in differentially expressed genes. Immune states differed between high- and low-risk groups. Conclusion: The novel signature can be used to predict outcomes in LUAD.

Lay abstract Exosome products are related to tumorigenesis, growth and metastasis, and also have potential prognostic value in lung cancer. The data and information for lung adenocarcinoma patients retrieved from databases were used to develop a risk score model. The molecular mechanisms and immune system activity in high- and low-risk groups of patients with lung adenocarcinoma based on the median risk score were obviously different. The risk score model contained 19 related genes. Patients with low-risk scores had better prognoses. The novel risk score model can be used to predict the outcome for patients with lung adenocarcinoma.

Identification of a circadian gene signature that predicts overall survival in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is one of the most common subtypes of lung cancer which is the leading cause of death in cancer patients. Circadian clock disruption has been listed as a likely carcinogen. However, whether the expression of circadian genes affects overall survival (OS) in LUAD patients remains unknown. In this article, we identified a circadian gene signature to predict overall survival in LUAD. METHODS: RNA sequencing (HTSeq-FPKM) data and clinical characteristics were obtained for a cohort of LUAD patients from The Cancer Genome Atlas (TCGA). A multigene signature based on differentially expressed circadian clock-related genes was generated for the prediction of OS using Least Absolute Shrinkage and Selection Operator (LASSO)-penalized Cox regression analysis, and externally validated using the GSE72094 dataset from the GEO database. RESULTS: Five differentially expressed genes (DEGs) were identified to be significantly associated with OS using univariate Cox proportional regression analysis (P < 0.05). Patients classified as high risk based on these five DEGs had significantly lower OS than those classified as low risk in both the TGCA cohort and GSE72094 dataset (P < 0.001). Multivariate Cox regression analysis revealed that the five-gene-signature based risk score was an independent predictor of OS (hazard ratio > 1, P < 0.001). Receiver operating characteristic (ROC) curves confirmed its prognostic value. Gene set enrichment analysis (GSEA) showed that Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways related to cell proliferation, gene damage repair, proteasomes, and immune and autoimmune diseases were significantly enriched. CONCLUSION: A novel circadian gene signature for OS in LUAD was found to be predictive in both the derivation and validation cohorts. Targeting circadian genes is a potential therapeutic option in LUAD.

Neutrophil-Lymphocyte Ratio as a Prognostic Parameter in NSCLC Patients Receiving EGFR-TKIs: A Systematic Review and Meta-Analysis.

OBJECTIVE: To research the impact of neutrophil-lymphocyte ratio (NLR) as a prognostic parameter in non-small-cell lung cancer (NSCLC) patients treated with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). METHODS: We searched the databases such as the American Society of Clinical Oncology (ASCO), EMBASE, PubMed, the European Society of Medical Oncology (ESMO), Wanfang, and CNKI for articles illustrating the impact of pretreatment NLR on survival data in NSCLC patients undergoing EGFR-TKIs treatment. We did a meta-analysis for overall survival (OS) and progression-free survival (PFS). RESULTS: We recruited 10 studies in our meta-analysis. Our study suggested that patients with low NLR had better PFS (hazard ratio (HR) = 1.67, 95% confidence interval (CI) = (1.16-2.39), and P value = 0.005) and OS (HR = 1.66, 95% CI = (1.08-2.55), and P value = 0.02) in comparison to patients with high NLR. CONCLUSION: In conclusion, our meta-analysis revealed that lower NLR predicted a better survival (PFS and OS) in patients receiving the treatment of EGFR-TKIs.

Gene expression barcode values reveal a potential link between Parkinson's disease and gastric cancer.

Gastric cancer is a disease that develops from the lining of the stomach, whereas Parkinson's disease is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. Although these two diseases seem to be distinct from each other, increasing evidence suggests that they might be linked. To explore the linkage between these two diseases, differentially expressed genes between the diseased people and their normal controls were identified using the barcode algorithm. This algorithm transforms actual gene expression values into barcode values comprised of 1's (expressed genes) and 0's (silenced genes). Once the overlapped differentially expressed genes were identified, their biological relevance was investigated. Thus, using the gene expression profiles and bioinformatics methods, we demonstrate that Parkinson's disease and gastric cancer are indeed linked. This research may serve as a pilot study, and it will stimulate more research to investigate the relationship between gastric cancer and Parkinson's disease from the perspective of gene profiles and their functions.

A ferroptosis-related gene signature predicts overall survival in patients with lung adenocarcinoma.

Aims: To elucidate the association between ferroptosis-related genes and prognosis in patients with lung adenocarcinoma (LUAD). Materials & methods: A ferroptosis-related gene signature was made by lasso regression analysis through the LUAD datasets of the Cancer Genome Atlas. The prognostic value of the multigene signature was externally validated in the GSE72094 dataset from the Gene Expression Omnibus database. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis were used to explore underlying mechanisms. Results & conclusion: We established a novel ferroptosis-related gene signature for overall survival in LUAD that was predictive in both the training and validation cohorts. Immune-related pathways were significantly enriched, and immune status differed between the high- and low-risk groups. Targeting ferroptosis is a potential therapeutic option in LUAD. These results still need to be confirmed by more studies.

Lay abstract Lung adenocarcinoma (LUAD) is a common type of lung cancer, a major contributor to cancer-related death in men and women worldwide. Ferroptosis is a form of regulated cell death that is dependent on iron. The relationship between ferroptosis-related gene expression and survival in patients with LUAD remains to be elucidated. In this article, the public datasets the Cancer Genome Atlas and the Gene Expression Omnibus were used to create a model with 12 ferroptosis genes to separate LUAD patients into high- and low-risk groups. The low-risk group had better survival than the high-risk group. We also found that the immune status was different in high-risk and low-risk patients. In conclusion, our study established a novel ferroptosis-related gene signature for survival in LUAD. The underlying mechanisms involve tumor immunity.

Identification of long non-coding RNA signatures for squamous cell carcinomas and adenocarcinomas.

Studies have demonstrated that both squamous cell carcinomas (SCCs) and adenocarcinomas (ACs) possess some common molecular characteristics. Evidence has accumulated to support the theory that long non-coding RNAs (lncRNAs) serve as novel biomarkers and therapeutic targets in complex diseases such as cancer. In this study, we aimed to identify pan lncRNA signatures that are common to squamous cell carcinomas or adenocarcinomas with different tissues of origin. With the aid of elastic-net regularized regression models, a 35-lncRNA pan discriminative signature and an 11-lncRNA pan prognostic signature were identified for squamous cell carcinomas, whereas a 6-lncRNA pan discriminative signature and a 5-lncRNA pan prognostic signature were identified for adenocarcinomas. Among them, many well-known cancer relevant genes such as MALAT1 and PVT1 were included. The identified pan lncRNA lists can help experimental biologists generate research hypotheses and adopt existing treatments for less prevalent cancers. Therefore, these signatures warrant further investigation.