PROM2 upregulation promotes cancer cell migration and confers a poor prognosis in lung squamous cell carcinoma.

Lung squamous cell carcinoma (LUSC) remains a difficult-to-treat disease with a poor prognosis. While prominin-1 (PROM1/CD-133) is largely investigated in a variety of malignancies, the role of prominin-2 (PROM2), the other member of the prominin family, has not been studied in LUSC. Transcriptomic data derived from matched tumor and adjacent non-tumorous lung tissues of LUSC patients were employed to conduct an in-depth analysis of the genetic and epigenetic regulation of prominin genes within LUSC, utilizing bioinformatic approaches. Furthermore, cellular behavior experiments were executed to discern the biological functions of PROM2. It was observed that PROM2, in contrast to PROM1, exhibited significant upregulation and overexpression at both the mRNA and protein levels in LUSC, and this upregulation was correlated with shortened patient survival. Transcriptomic analysis unveiled DNA methylation as an epigenetic regulatory mechanism associated with PROM2 expression. Notably, two transcription factors, CBFB and NRIP1, were identified as potential regulators of PROM2 expression. Subsequent in vitro investigations demonstrated that knocking down PROM2 led to the inhibition of cancer cell migration and the epithelial-to-mesenchymal transition (EMT). In summary, the pronounced upregulation of PROM2 in LUSC patients was linked to an unfavorable prognosis, possibly attributable to its influence on cancer cell migration and EMT. These findings suggest that PROM2 could serve as a promising diagnostic biomarker and therapeutic target in the management of LUSC. Consequently, further research into the mechanistic aspects and potential therapeutic interventions targeting PROM2 is warranted in the clinical context.

Clinical outcome of bevacizumab or ramucirumab combined with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors as the first line therapy in susceptible EGFR-mutated advanced non-small-cell lung.

Combining epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) with an anti- vascular endothelial growth factor (VEGF) agent, bevacizumab or ramucirumab, is indicated for advanced lung adenocarcinoma harboring EGFR mutation. This study aimed to show the real-world data of combination therapy and compare the effectiveness between bevacizumab and ramucirumab in combination with an EGFR-TKI. This retrospective study enrolled 47 patients diagnosed of stage IV lung adenocarcinoma with exon 19 deletion or L858R point mutation, receiving a first-line EGFR-TKI with anti-VEGF agent, including 34 (72%) and 13 (28%) patients receiving bevacizumab and ramucirumab, respectively. The response rate was similar in both groups (p = 0.38). Patients receiving bevacizumab had similar progression free survival (PFS) as those receiving ramucirumab (median PFS: 21.9 vs. 24.2 months, p = 0.4871); similar finding was noted in overall survival (OS) (median OS: 33.5 months vs. not reached, p = 0.4618). Patients receiving ramucirumab experienced a significantly high-grade hypertension compared to those receiving bevacizumab (p = 0.0351). Multivariable Cox regression analysis found independent risk factors for worse PFS included poorer ECOG performance status, multiple (≥3) metastatic sites, brain metastasis, and pleural metastasis/effusion, while the type of anti-VEGF agent was not a risk factor. Pericardial metastasis/effusion was the only one independent risk factor for worse OS. In summary, ramucirumab may have similar effectiveness as bevacizumab in combination with an EGFR-TKI as first line therapy for advanced lung adenocarcinoma harboring susceptible EGFR mutation. Further large-scale registry-based cohort studies may be needed to validate our findings.

Downregulated antisense lncRNA ENTPD3-AS1 contributes to the development of lung adenocarcinoma.

The poor outcome of patients with lung adenocarcinoma (LUAD) highlights the importance to identify novel effective prognostic markers and therapeutic targets. Long noncoding RNAs (lncRNAs) have generally been considered to serve important roles in tumorigenesis and the development of various types of cancer, including LUAD. Here, we aimed to investigate the role of ENTPD3-AS1 (ENTPD3 Antisense RNA 1) in LUAD and to explore its potential mechanisms by performing comprehensive bioinformatic analyses. The regulatory effect of ENTPD3-AS1 on the expression of NR3C1 was validated by siRNA-based silencing. The effect of miR-421 on the modulation of NR3C1 was determined by miRNA mimics and inhibitors transfection. ENTPD3-AS1 was expressed at lower levels in tumor parts and negatively correlated with unfavorable prognosis in LUAD patients. It exerted functions as a tumor suppressor gene by competitively binding to oncomir, miR-421, thereby attenuating NR3C1 expression. Transfection of lung cancer A549 cells with miR-421 mimics decreased the expression of NR3C1. Transfection of lung cancer A549 cells with miR-421 inhibitors increased the expression of NR3C1 with lower cellular functions as proliferation and migration via epithelial-mesenchymal transition. In addition, inhibition of ENTPD3-AS1 by siRNA transfection decreased the levels of NR3C1, supporting the ENTPD3-AS1/miR-421/NR3C1 cascade. Moreover, the bioinformatic analysis also showed that ENTPD3-AS1 could interact with the RNA-binding proteins (RBPs), CELF2 and QKI, consequently regulating RNA expression and processing. Taken together, we identified that ENTPD3-AS1 and its indirect target NR3C1 can act as novel biomarkers for determining the prognosis of patients with LUAD, and further study is required.

Upregulated enhancer of rudimentary homolog promotes epithelial­mesenchymal transition and cancer cell migration in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is one of the deadliest cancers regarding both mortality rate and number of deaths and warrants greater effort in the development of potential therapeutic targets. The enhancer of rudimentary homolog (ERH) has been implicated in the promotion and progression of certain types of cancer. In the present study, ERH was assessed for its expression pattern and survival association with LUAD in public transcriptomic and proteomic databases. Bioinformatic methods and data from websites, including University of Alabama at Birmingham CANcer data analysis Portal and The Cancer Genome Atlas, were utilized to demonstrate the functional behaviors and corresponding pathways of ERH in LUAD. Human A549 and CL1­0 cell lines were used to validate the findings via functional assays. It was demonstrated that the expression of ERH, at both the transcriptomic and proteomic levels, was higher in LUAD compared with in adjacent non­tumor lung tissue and was associated with worse survival prognosis. Moreover, high ERH expression was correlated with more aggressive functional states, such as cell cycle and invasion in LUAD, and the positive ERH­correlated gene set was associated with worse survival and an immunosuppressive tumor microenvironment. Small nuclear ribonucleoprotein polypeptide G was identified as a molecule that potentially interacted with ERH. Lastly, it was demonstrated that ERH promoted epithelial­mesenchymal transition and cell migration in vitro, but not proliferation. In conclusion, higher expression of ERH in LUAD may facilitate cancer progression and confer worse outcomes. Further deep investigation into the role of ERH in LUAD is needed.

Accurate personalized survival prediction for amyotrophic lateral sclerosis patients.

Amyotrophic Lateral Sclerosis (ALS) is a rapidly progressive neurodegenerative disease. Accurately predicting the survival time for ALS patients can help patients and clinicians to plan for future treatment and care. We describe the application of a machine-learned tool that incorporates clinical features and cortical thickness from brain magnetic resonance (MR) images to estimate the time until a composite respiratory failure event for ALS patients, and presents the prediction as individual survival distributions (ISDs). These ISDs provide the probability of survival (none of the respiratory failures) at multiple future time points, for each individual patient. Our learner considers several survival prediction models, and selects the best model to provide predictions. We evaluate our learned model using the mean absolute error margin (MAE-margin), a modified version of mean absolute error that handles data with censored outcomes. We show that our tool can provide helpful information for patients and clinicians in planning future treatment.

Characterization of the pleural microenvironment niche and cancer transition using single-cell RNA sequencing in EGFR-mutated lung cancer.

Background: Lung cancer is associated with a high mortality rate and often complicated with malignant pleural effusion (MPE), which has a very poor clinical outcome with a short life expectancy. However, our understanding of cell-specific mechanisms underlying the pathobiology of pleural metastasis remains incomplete. Methods: We analyzed single-cell transcriptomes of cells in pleural effusion collected from patients with lung cancer and congestive heart failure (as a control), respectively. Soluble and complement factors were measured using a multiplex cytokine bead assay. The role of ferroptosis was evaluated by GPX4 small interfering RNA (siRNA) transfection and overexpression. Results: We found that the mesothelial-mesenchymal transition (MesoMT) of the pleural mesothelial cells contributed to pleural metastasis, which was validated by lung cancer/mesothelial cell co-culture experiments. The ferroptosis resistance that protected cancer from death which was secondary to extracellular matrix detachment was critical for pleural metastasis. We found a universal presence of immune-suppressive lipid-associated tumor-associated macrophages (LA-TAMs) with complement cascade alteration in the MPE of the lung cancer patients. Specifically, upregulated complement factors were also found in the MPE, and C5 was associated with poor overall survival in the lung cancer patients with epidermal growth factor receptor mutation. Plasmacytoid dendritic cells (pDCs) exhibited a dysfunctional phenotype and pro-tumorigenic feature in the primary cancer. High expression of the gene set extracted from pDCs was associated with a poor prognosis in the lung cancer patients. Receptor-ligand interaction analysis revealed that the pleural metastatic niche was aggravated by cross-talk between mesothelial cells-cancer cells/immune cells via TNC and ICAM1. Conclusions: Taken together, our results highlight cell-specific mechanisms involved in the pathobiological development of pleural metastasis in lung cancer. These results provide a large-scale and high-dimensional characterization of the pleural microenvironment and offer a useful resource for the future development of therapeutic drugs in lung cancer.

Local Consolidative Therapy May Have Prominent Clinical Efficacy in Patients with EGFR-Mutant Advanced Lung Adenocarcinoma Treated with First-Line Afatinib.

Afatinib is an irreversible tyrosine kinase inhibitor (TKI) targeting the epidermal growth factor receptor (EGFR), which is utilized for the treatment of patients with advanced lung cancer that harbors EGFR mutations. No studies have evaluated the clinical efficacy of LCT in patients treated with first-line afatinib. In this study, we retrospectively enrolled patients with advanced lung adenocarcinomas harboring susceptible EGFR mutations who were diagnosed and treated with first-line afatinib in three hospitals. A total of 254 patients were enrolled, including 30 (12%) patients who received LCT (15 patients received definitive radiotherapy for the primary lung mass and 15 patients received curative surgery). Patients who received LCT had a significantly longer PFS than those who did not (median PFS: 32.8 vs. 14.5 months, p = 0.0008). Patients who received LCT had significantly longer OS than those who did not (median OS: 67.1 vs. 34.5 months, p = 0.0011). Multivariable analysis showed LCT was an independent prognostic factor for improved PFS (adjusted hazard ratio [aHR] [95% confidence interval (CI)]: 0.44 [0.26-0.73], p = 0.0016) and OS (aHR [95% CI]: 0.26 [0.12-0.54], p = 0.0004). The analyses using propensity score-weighting showed consistent results. We conclude that LCT may improve clinical outcomes, in terms of PFS and OS, in patients with advanced EGFR-mutant lung adenocarcinomas who are treated with first-line afatinib.

LINC02323 facilitates development of lung squamous cell carcinoma by miRNA sponge and RBP dysregulation and links to poor prognosis.

BACKGROUND: The poor outcome of patients with lung squamous cell carcinoma (LUSC) highlights the importance of the identification of novel effective prognostic markers and therapeutic targets. Long noncoding RNAs (lncRNAs) have generally been considered to serve important roles in tumorigenesis and the development of various types of cancer, including LUSC. METHODS: Here, we aimed to investigate the role of LINC02323 in LUSC and its potential mechanisms by performing comprehensive bioinformatic analyses. RESULTS: LINC02323 was elevated and positively associated with unfavorable prognosis of LUSC patients. LINC02323 exerted oncogenic function by competitively binding to miR-1343-3p and miR-6783-3p, thereby upregulating L1CAM expression. Indeed, we also determined that LINC02323 could interact with the RNA-binding protein DDX3X, which regulates various stages of RNA expression and processing. CONCLUSION: Taken together, we identified that LINC02323 and its indirect target L1CAM can act as novel biomarkers for determining the prognosis of patients with LUSC and thus deserves further study.

Scientific basis of acupuncture on mesenchymal stem cells for treating ischemic stroke / 中国针灸

The scientific basis of acupuncture on mesenchymal stem cells (MSCs) for treating ischemic stroke (IS) is discussed. MSCs transplantation has great potential for the treatment of tissue damage caused by early stage inflammatory cascade reactions of IS, but its actual transformation is limited by various factors. How to improve the homing efficiency of MSCs is the primary issue to enhance its efficacy. As such, the possible mechanisms of acupuncture and MSCs transplantation in inhibiting inflammatory cascade reactions induced by IS are explored by reviewing literature, and a hypothesis that acupuncture could promote the secretion of stromal cell-derived factor-1α (SDF-1α) from ischemic foci to regulate SDF-1α/CXC chemokine receptor 4 (CXCR4) axis, thereby improving the homing efficiency of MSCs transplantation, exerting its neuroprotective function, and improving the bed transformation ability, is proposed.

Study on untargeted metabolomics of Codonopsis pilosula from different producing areas based on ultra-performance liquid chromatography tandem high resolution mass spectrometry / 药学学报

Lu Dangshen, a traditional authentic medicinal material of Codonopsis Radix is mainly produced in Shangdang (Changzhi) area of Shanxi Province. Baitiao Dangshen is mainly produced in Gansu Province. Codonopsis Radix contains many kinds of components such as phenylpropanoids, polyalkynes, alkaloids, terpenes, fatty acids, flavonoids, and so on. At present, the effect of producing areas on its chemical compositions has not been systematically studied. This study analyzed the differences of metabolites among Codonopsis pilosula from different producing areas by UPLC-HRMS. PCA, OPLS-DA coupled with Thermo mzcloud online and local databases were used to compare the overall differences of metabolites among Codonopsis pilosula from different producing areas, and the chemical constituents were identified to further screen and find out the different metabolites and analyze the metabolic pathways by information retrieval in HMDB, PubChem, Chemspider and KEGG databases. The results showed that 72 differential metabolites were identified in this study. There were 15 kinds of up-regulated and 57 kinds of down-regulated metabolites of Lu Dangshen compared with Baitiao Dangshen. The top 30 metabolic pathways were analyzed by KEGG enrichment, and the most important metabolic pathways were phenylpropanoid biosynthesis, which was demonstrated that phenylpropanoid biosynthesis pathway and related intermediate metabolites could be used as the characteristics of distinguishing Lu Dangshen from different habitats of Codonopsis pilosula. The present study provided a basis for analyzing the influence of producing areas on the chemical components of Codonopsis pilosula and reasonably evaluating the quality of Codonopsis Radix, and also provided a new idea for expounding the authenticity of Lu Dangshen.

Real-world treatment pattern and prognostic factors of stage IV lung squamous cell carcinoma patients.

Lung squamous cell carcinoma (LUSC) represents a minor proportion of nonsmall cell lung cancer (NSCLC) harboring a poor prognosis. Herein, retrospective medical record research was performed to investigate real-world treatment patterns and identify the prognostic factors among LUSC patients. A total of 173 patients with a median age of 68 years were enrolled for analysis. Males were predominant (n = 143, 83%) and current or ex-smokers contributed to 78% of the entire cohort. Pleura and lung were the most common metastatic sites, whereas brain metastasis was only 7%. After diagnosis, however, only 107 patients (62%) had received first-line chemotherapy. In the chemotherapy cohort, median progression-free survival (PFS) and overall survival (OS) were 3.9 and 11.1 months, respectively. After multivariable analysis, bone metastasis and the use of first-line single-agent chemotherapy independently predicted shorter PFS. For baseline characteristics, male sex, metastasis to lung, pleura, liver, and bone independently predicted worse OS. Regarding the treatment pattern, patients who had undergone standard first-line doublet therapy and employed targeted therapies after disease progression linked to longer OS. In the real world, even those who underwent chemotherapy still had poor outcome. The findings may help clinicians to orchestrate the treatment strategies for LUSC patients and provide further direction of large-scale studies.

Characterization of the Oncogenic Potential of Eukaryotic Initiation Factor 4A1 in Lung Adenocarcinoma via Cell Cycle Regulation and Immune Microenvironment Reprogramming.

Lung adenocarcinoma (LUAD) is a common type of lung cancer. Although the diagnosis and treatment of LUAD have significantly improved in recent decades, the survival for advanced LUAD is still poor. It is necessary to identify more targets for developing potential agents against LUAD. This study explored the dysregulation of translation initiation factors, specifically eukaryotic initiation factors 4A1 (EIF4A1) and EIF4A2, in developing LUAD, as well as their underlying mechanisms. We found that the expression of EIF4A1, but not EIF4A2, was higher in tumor tissue and associated with poor clinical outcomes in LUAD patients. Elevated expression of EIF4H with poor prognosis may potentiate the oncogenic role of EIF4A1. Functional enrichment analysis revealed that upregulation of EIF4A1 was related to cell cycle regulation and DNA repair. The oncogenic effect of EIF4A1 was further elucidated by Gene Set Variation Analysis (GSVA). The GSVA score of the gene set positively correlated with EIF4A1 was higher in tumors and significantly associated with worse survival. In the meantime, gene set enrichment analysis (GSEA) also indicated that elevated EIF4A1 expression in LUAD patients was associated with a decreased infiltration score for immune cells by reducing anticancer immune cell types and recruiting immunosuppressive cells. Consistent with the results, the GSVA score of genes whose expression was negatively correlated with EIF4A1 was lower in the tumor tissue of LUAD cases with worse clinical outcomes and was strongly associated with the disequilibrium of anti-cancer immunity by recruiting anticancer immune cells. Based on the results from the present study, we hypothesize that the dysregulation of EIF4A1 might be involved in the pathophysiology of LUAD development by promoting cancer growth and changing the tumor immune microenvironment. This can be used to develop potential diagnostic biomarkers or therapeutic targets for LUAD.

Impact of Smoking Status in Combination Treatment with EGFR Tyrosine Kinase Inhibitors and Anti-Angiogenic Agents in Advanced Non-Small Cell Lung Cancer Harboring Susceptible EGFR Mutations: Systematic Review and Meta-Analysis.

Patients with advanced non-small cell lung cancer (NSCLC) who harbor susceptible epidermal growth factor receptor (EGFR) mutations and are treated with EGFR tyrosine kinase inhibitors (TKIs) show longer progression-free survival (PFS) than those treated with chemotherapy. However, developed EGFR-TKI resistance limits PFS improvements. Currently, combination treatment with EGFR-TKIs and anti-angiogenic agents is considered a beneficial regimen for advanced-stage NSCLC harboring susceptible EGFR mutations. However, several trials reported osimertinib plus bevacizumab failed to show superior efficacy over osimertinib alone. However, subgroup analysis showed significantly longer PFS among patients with a history of smoking over those who never smoked. We performed a comprehensive systematic review and meta-analysis to evaluate the smoking status impact. At the end of the process, a total of 2068 patients from 11 randomized controlled trials (RCTs) were included in our meta-analysis. Overall, combination EGFR-TKI plus anti-angiogenic agent treatment showed significantly better PFS among patients with a smoking history (Hazard Ratio (HR) = 0.59, 95% confidence interval (CI) = 0.48-0.73). Erlotinib-based combination therapy showed positive PFS benefits regardless of smoking status (HR = 0.54, 95%CI = 0.41-0.71 for ever smoker, HR = 0.69, 95%CI = 0.54-0.87 for never smoker). Combination therapy prolonged PFS significantly regardless of ethnicity (HR: 0.64, 95% CI: 0.44-0.93 for Asian RCTs, HR: 0.55, 95% CI: 0.41-0.74 for global and non-Asian RCTs). PROSPERO registration number is CRD42022304198).

The Therapeutic Potential of ADAMTS8 in Lung Adenocarcinoma without Targetable Therapy.

Lung cancer is well known for its high mortality worldwide. The treatment for advanced lung cancer needs more attention to improve its survival time. A disintegrin and metallopeptidase with thrombospondin motifs 8 (ADAMTS8) has been linked to several cancer types. However, its role in lung cancer is worthy of deep investigation to promote novel drug development. This study took advantage of RNA-seq and bioinformatics to verify the role that ADAMTS8 plays in lung cancer. The functional assays suggested that ADAMTS8 mediates invasion and metastasis when expressed at a low level, contributing to poor overall survival (OS). The expression of ADAMTS8 was under the regulation of GATA Binding Protein 1 (GATA1) and executed its pathologic role through Thrombospondin Type 1 Domain Containing 1 (THSD1) and ADAMTS Like 2 (ADAMTSL2). To define the impact of ADAMTS8 in the lung cancer treatment strategy, this study further grouped lung cancer patients in the TCGA database into mutated epidermal growth factor receptor (EGFR)/wild-type EGFR and programmed death ligand 1 (PD-L1) high/low groups. Importantly, the expression of ADAMTS8 was correlated positively with the recruitment of anticancer NKT cells and negatively with the infiltration of immunosuppressive Treg and exhausted T cells. The results indicated that lung cancer patients with higher ADAMTS8 levels among wild-type EGFR or low PD-L1 groups survive longer than those with lower levels do. This study indicates that ADAMTS8 might be a treatment option for patients with lung adenocarcinoma who lack efficient targeted or immunotherapies.

Downregulated ADAMTS1 Incorporating A2M Contributes to Tumorigenesis and Alters Tumor Immune Microenvironment in Lung Adenocarcinoma.

Lung adenocarcinoma (LUAD) still holds the most dreadful clinical outcomes worldwide. Despite advanced treatment strategies, there are still some unmet needs. Next-generation sequencing of large-scale cancer genomics discovery projects combined with bioinformatics provides the opportunity to take a step forward in meeting clinical conditions. Based on in-house and The Cancer Genome Atlas (TCGA) cohorts, the results showed decreased levels of ADAMTS1 conferred poor survival compared with normal parts. Gene set enrichment analyses (GSEA) indicated the negative correlation between ADAMTS1 and the potential roles of epithelial-mesenchymal transition (EMT), metastasis, and poor prognosis in LUAD patients. With the knockdown of ADAMTS1, A549 lung cancer cells exhibited more aggressive behaviors such as EMT and increased migration, resulting in cancer metastasis in a mouse model. The pathway interaction network disclosed the linkage of downregulated α2-macroglobulin (A2M), which regulates EMT and metastasis. Furthermore, immune components analysis indicated a positive relationship between ADAMTS1 and the infiltrating levels of multiple immune cells, especially anticancer CD4+ T cells in LUAD. Notably, ADAMTS1 expression was also inversely correlated with the accumulation of immunosuppressive myeloid-derived suppressor cells and regulatory T cells, implying the downregulated ADAMTS1 mediated immune adjustment to fit the tumor survival disadvantages in LUAD patients. In conclusion, our study indicates that ADAMTS1 interacts with A2M in regulating EMT and metastasis in LUAD. Additionally, ADAMTS1 contributes to poor prognosis and immune infiltration in LUAD patients.

Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patients.

Since it emerged in December of 2019, COVID-19 has placed a huge burden on medical care in countries throughout the world, as it led to a huge number of hospitalizations and mortalities. Many medical centers were overloaded, as their intensive care units and auxiliary protection resources proved insufficient, which made the effective allocation of medical resources an urgent matter. This study describes learned survival prediction models that could help medical professionals make effective decisions regarding patient triage and resource allocation. We created multiple data subsets from a publicly available COVID-19 epidemiological dataset to evaluate the effectiveness of various combinations of covariates-age, sex, geographic location, and chronic disease status-in learning survival models (here, "Individual Survival Distributions"; ISDs) for hospital discharge and also for death events. We then supplemented our datasets with demographic and economic information to obtain potentially more accurate survival models. Our extensive experiments compared several ISD models, using various measures. These results show that the "gradient boosting Cox machine" algorithm outperformed the competing techniques, in terms of these performance evaluation metrics, for predicting both an individual's likelihood of hospital discharge and COVID-19 mortality. Our curated datasets and code base are available at our Github repository for reproducing the results reported in this paper and for supporting future research.

Ladinin 1 Shortens Survival via Promoting Proliferation and Enhancing Invasiveness in Lung Adenocarcinoma.

Lung cancer is one of the deadliest cancers worldwide, including in Taiwan. The poor prognosis of the advanced lung cancer lies in delayed diagnosis and non-druggable targets. It is worth paying more attention to these ongoing issues. Public databases and an in-house cohort were used for validation. The KM plotter was utilized to discover the clinical significance. GSEA and GSVA were adopted for a functional pathway survey. Molecular biological methods, including proliferation, migration, and the EMT methods, were used for verification. Based on public databases, the increased expression of Ladinin 1 (LAD1) was presented in tumor and metastatic sites. Furthermore, an in-house cohort revealed a higher intensity of LAD1 in tumor rather than in normal parts. The greater the expression of LAD1 was, the shorter the duration of lung adenocarcinoma (LUAD) patient survival. Moreover, the association of B3GNT3 with LAD1 affected the survival of LUAD patients. Functional analyses using GSEA and GSVA revealed the associations with survival, migration, invasion, and EMT. Biologic functions supported the roles of LAD1 in proliferation via the cell cycle and migration in EMT. This study reveals that LAD1 plays a major role in regulating proliferation and migration in lung cancer and impacts survival in LUAD. It is worth investing in further studies and in the development of drugs targeting LAD1.