C-shaped pleura cautery in primary spontaneous pneumothorax patients for pleurodesis.

BACKGROUND: Although pleurodesis is usually used to reduce the recurrence rate for primary spontaneous pneumothorax (PSP) in surgery, existing techniques cannot meet the higher requirements of little surgical injury and less relapse. Hence, we developed a new pleurodesis technique and named multipoint pleura cautery. AIM: In this study, we aimed to investigate the effectiveness and outcomes of the uniportal video-assisted thoracoscopic surgery C-shaped pleura cautery in the surgical treatment of PSP. To the best of our knowledge, this is a new surgical technique for pleurodesis and must be of concern. PATIENTS AND METHODS: The medical records of 20 patients undergoing surgery for C-shaped pleura cautery between 2015 and 2017 were reviewed. The patients were evaluated with regard to age, gender, body mass index, smoking habit, operation time, duration of hospitalization, post-operative pain and follow-up. RESULTS: We have performed a bullectomy combined C-shaped pleura cautery for 20 patients with PSP from January 2016 to December 2017. None of the patients suffered post-operative bleeding and haematothorax complications, and one was ipsilateral relapsed 5 months after surgery. The lung computed tomography showed that recurrence of pneumothorax was due to air leakage in the right lower lung, and there was no air leakage at the site where pleurodesis had been performed. CONCLUSIONS: Although this technique requires further investigation, it may be a useful method of pleurodesis.

A novel 4-gene signature for overall survival prediction in lung adenocarcinoma patients with lymph node metastasis.

BACKGROUND: Lung adenocarcinoma (LUAD) patients experiencing lymph node metastasis (LNM) always exhibit poor clinical outcomes. A biomarker or gene signature that could predict survival in these patients would have a substantial clinical impact, allowing for earlier detection of mortality risk and for individualized therapy. METHODS: With the aim to identify a novel mRNA signature associated with overall survival, we analysed LUAD patients with LNM extracted from The Cancer Genome Atlas (TCGA). LASSO Cox regression was applied to build the prediction model. An external cohort was applied to validate the prediction model. RESULTS: We identified a 4-gene signature that could effectively stratify a high-risk subset of these patients, and time-dependent receiver operating characteristic (tROC) analysis indicated that the signature had a powerful predictive ability. Gene Set Enrichment Analysis (GSEA) showed that the high-risk subset was mainly associated with important cancer-related hallmarks. Moreover, a predictive nomogram was established based on the signature integrated with clinicopathological features. Lastly, the signature was validated by an external cohort from Gene Expression Omnibus (GEO). CONCLUSION: In summary, we developed a robust mRNA signature as an independent factor to effectively classify LUAD patients with LNM into low- and high-risk groups, which might provide a basis for personalized treatments for these patients.

Downregulation of HIF-2α Reverse the Chemotherapy Resistance of Lung Adenocarcinoma A549 Cells to Cisplatin.

BACKGROUND Cisplatin (DDP)-based systemic chemotherapy has been widely used in the treatment of postoperative or advanced NSCLC patients, however, its effective rate is only 14~40%. HIF-2α can upregulate drug-resistant-related genes expression and lead to chemotherapy resistance in many tumors. However, little is known about the relationship between HIF-2α and chemotherapy resistance of lung cancer cells. MATERIAL AND METHODS In our study, the siRNA expression vectors targeting the HIF-2α gene were designed, constructed, and transfected into A549 cells. MTT assay and western blot analysis of P-glycoprotein 1 (P-gp) were used to explore the transfer influence of HIF-2α gene silencing on the A549 cells in the cisplatin-based chemotherapy resistance. RESULTS After transfection with the siRNAHIF-2α into A549 cells, mRNA and protein expression of HIF-2α were downregulated. At the same time, expression of P-gp decreased significantly. Furthermore, the sensitivity to cisplatin significantly increased. CONCLUSIONS The constructed siRNA expression vectors can effectively suppress the expression of HIF-2α and P-gp, which then can reverse the chemotherapy resistance of A549 cells.

HIF-2α not HIF-1α overexpression confers poor prognosis in non-small cell lung cancer.

HIF-α may play an important role in the process of tumorigenesis as well as tumor progression. Although a number of investigations have established the significance of HIF-1α in several human tumors, there is still little information available on the clinical significance of HIF-2α expression in non-small cell lung cancer (NSCLC). In present study, immunohistologic expression of HIF-1α/ HIF-2α was studied in a tissue microarray of 140 Stage I-III NSCLCs and correlated with clinicopathologic parameters and clinical outcome. We found that HIF-1α/ HIF-2α showed a cytoplasmic pattern of expression in tumor cells while normal lung components showed negative or weak cytoplasmic staining. High HIF-1α and HIF-2α expression was noted in 49/140 (35.0%) and in 64/140 (45.7%) of the cases respectively. There was no direct correlation between HIF-1α and HIF-2α expression ( p = 0.200). The high HIF-2α expression was associated with histology (squamous cell carcinoma vs. adenocarcinomas) in these patients ( p = 0.001). Patients in advanced tumor stage had frequent high expression of HIF-2α ( p = 0.007), and the similar high expression was also observed in advanced T or N stage ( p = 0.030 and 0.043, respectively). HIF-1α showed a marginal association with T stage ( p = 0.084), which showed a higher expression in early tumor stage. Univariate analysis of the overall survival demonstrates that HIF-2α expression but not HIF-1α was related to poor outcome ( p = 0.005) and it retained significance in multivariate analysis ( p = 0.046). In conclusion, HIF-2α expression was related to tumor size, lymph node metastasis, tumor stage and histology. We also found a positive prognostic value of HIF-2α protein expression. HIF-2α might serve as a potential prognosis biomarker in evaluating progression and prognosis of NSCLC. We believe that our study will be of great benefit to the clinical treatment and prognostic evaluation of NSCLC.

Expression profile, clinical significance, and biological function of insulin-like growth factor 2 messenger RNA-binding proteins in non-small cell lung cancer.

Insulin-like growth factor 2 messenger RNA-binding proteins have been described to associate with malignant process in many cancers. However, the role of insulin-like growth factor 2 messenger RNA-binding protein family has not been thoroughly elucidated in non-small cell lung cancer. This study was to investigate the expression profile, clinical significance, and biological function of insulin-like growth factor 2 messenger RNA-binding proteins family in non-small cell lung cancer. The expression levels of IGF2BP1-IGF2BP3 in tumor and adjacent normal tissues were determined, and association with clinicopathological features and overall survival was investigated by analyzing The Cancer Genome Atlas lung cancer database. Proliferation, migration, invasion assays, and flow-cytometry analysis were used to investigate the biological function in vitro. Insulin-like growth factor 2 messenger RNA-binding protein expression levels were significantly increased in non-small cell lung cancer compared to adjacent normal lung tissues. Chi-square test indicated that IGF2BP1 and IGF2BP3 expressions correlated with some meaningful clinical characteristics in non-small cell lung cancer. Kaplan-Meier analysis showed that high-level expression of IGF2BP1 or IGF2BP3 predicted poor overall survival in lung adenocarcinoma patients. Multivariate regression analysis showed that high level of IGF2BP3 was an independent risk factor for poor prognosis in lung adenocarcinoma patients (hazard ratio = 1.616, p = 0.017). In vitro, knockdown of IGF2BP3 inhibited lung adenocarcinoma cell proliferation by inducing cell cycle arrest and apoptosis, and undermined abilities of migration and invasion, and overexpression of IGF2BP3 could promote malignant phenotypes in lung adenocarcinoma cells. Our study revealed that expression of insulin-like growth factor 2 messenger RNA-binding proteins was widely upregulated and correlated with some certain clinicopathological features in non-small cell lung cancer. Especially, in insulin-like growth factor 2 messenger RNA-binding protein family, IGF2BP3 might play the most important role in tumor aggressiveness and prognosis in lung adenocarcinoma, and IGF2BP3 might serve as a potential therapeutic target and a novel prognostic biomarker in lung adenocarcinoma patients.

Expression and prognostic value of E2F activators in NSCLC and subtypes: a research based on bioinformatics analysis.

E2F activators (E2F1-3) codify a family of transcription factors (TFs) in higher eukaryotes. E2F activators are involved in the cell cycle regulation and synthesis of DNA in mammalian cells, and their overexpression has been detected in many human cancers. However, their clinical significance has not been deeply researched in non-small-cell lung cancer (NSCLC), and bioinformatics analysis has never been reported to explore their clinical role in NSCLC. In the current study, we investigated the expression and prognostic value of E2F activators in NSCLC patients through the "TCGA datasets" and the "Kaplan-Meier plotter" (KM plotter) database. Hazard ratio (HR), 95 % confidence intervals, and log-rank P were calculated. Compared with normal tissue samples, E2F activators were overexpressed in NSCLC tissues, in lung adenocarcinoma (LUAD) tissues, and in lung squamous cell carcinoma (LUSC) tissues. In NSCLC patients, E2F1 expression was significantly correlated with age, sex, and tumor stage. E2F2 expression was found to be significantly correlated with sex and tumor size. We further demonstrated that E2F1 and E2F2 overexpressions were significantly associated with poor prognosis. In LUAD patients, E2F1 expression was significantly correlated with tumor size and tumor stage. E2F2 expression was significantly correlated with lymph node status and tumor stage. E2F1 and E2F2 overexpression showed a significant association with poor prognosis, while E2F3 overexpression was significantly correlated to better prognosis. In LUSC patients, E2F1 was concluded to be significantly correlated with tumor stage. However, E2F activators were not found to be correlated to prognosis.

CDCA gene family promotes progression and prognosis in lung adenocarcinoma.

BACKGROUND: The cell division cycle-associated (CDCA) family participates in the cell cycle, and the dysregulation of its expression is associated with the development of several types of cancers. However, the roles of CDCAs in lung adenocarcinomas (LUAD) have not been investigated in systematic research. METHODS: Using data retrieved from The Cancer Genome Atlas (TCGA), the expression of CDCAs in LUAD and normal tissues was compared, and survival analysis was performed using the data. Also, the correlation between clinical characteristics and the expression of CDCAs was assessed. Using data from cBioPortal, we investigated genetic alterations in CDCAs and their prognostic implications. Immunohistochemical analyses were performed to validate our findings from TCGA data. Following this, we created a risk score model to develop a nomogram. We also performed gene set enrichment analyses (GSEA), gene ontology, and KEGG pathway analysis. We used Timer to analyze the correlation between immune cell infiltration, tumor purity, and expression data. RESULTS: Our results indicated that all CDCAs were expressed at high levels in LUAD; this could be associated with poor overall survival, as indicated in TCGA data. Univariate and multivariate Cox analyses revealed that CDCA4/5 could serve as independent risk factors. The results of immunohistochemical analyses confirmed our results. Based on the estimation of expression levels, clinical characteristics, alterations, and immune infiltration, the low-risk group of CDCA4/5 had a better prognosis than the high-risk group. Immune therapy is also a potential treatment option. CONCLUSION: In conclusion, our findings indicate that CDCAs play important roles in LUAD, and CDCA4/5 can serve as diagnostic and prognostic biomarkers and therapeutic targets in LUAD.

Thymidine kinase 1 as a target is regulated by the hsa-let-7b-5p/LINC00665 axis and affects NSCLC prognosis.

Background: In the past, multiple studies have offered incremental evidence that indicates that competitive endogenous RNA (ceRNA) regulatory networks are involved in tumor growth and present novel therapeutic targets. Herein, we investigated the impact of thymidine kinase 1 (TK1)-related ceRNA networks on the prognosis of non-small cell lung cancer (NSCLC). Methods: TK1 expression data in NSCLC and normal tissue samples were retrieved from the Cancer Genome Atlas (TCGA) database and were then compared. Thereafter, the findings of the immunohistochemical staining experiments and clinical follow-up data derived from patients with NSCLC were used for conducting prognostic analysis. The starBase database was searched to determine TK1-targeted microRNAs and long non-coding RNAs, and clinical data from TCGA were used for survival analysis to construct a ceRNA network associated with TK1 expression and prognosis. Finally, the roles played by methylation and immunity in the prognosis and treatment of NSCLC were analyzed. Results: Our findings revealed that the cancer tissues expressed significantly higher TK1 levels than normal tissues, and the follow-up clinical data revealed that the prognosis was generally worse in the high-expression patients than in the low-expression patients. In addition, clinical data collected from the starBase and TCGA databases showed that the LINC00665/has-let-7b-5p/TK1 network could influence the growth and prognosis of NSCLC. It was also noted that the TK1 methylation site was correlated with the prognosis of NSCLC, and immunoprognostic analysis further indicated that patients with higher TK1 expression levels displayed a worse prognosis. Conclusion: When the regulatory network of LINC00665/has-let-7b-5p/TK1 was assessed, it was observed that elevated TK1 levels may affect the prognosis of NSCLC. Therefore, it could be considered a prognostic biomarker and a probable therapeutic target for predicting NSCLC prognosis.

Complete Video-Assisted Thoracoscopic Surgery and Traditional Open Surgery for Elderly Patients With NSCLC.

Objective: To observe the efficacy of complete video-assisted thoracoscopic surgery (CVATS) and traditional open surgery (TOS) in the treatment of elderly patients with non-small cell lung cancer (NSCLC) and their influence on cardiopulmonary function. Methods: A total of 120 elderly patients with primary NSCLC who were treated surgically in our hospital from January 2018 to January 2021 were selected and divided into the study group and the control group according to the different surgical procedures, 60 patients in each group. CVATS was used in the observation group and TOS in the control group. The surgical indexes and cardiopulmonary function indexes were observed and compared between the two groups. The serum C-reactive protein (CRP) level and visual analog scale's (VAS) score of the patients at different time points were detected. The incidence of postoperative complications was compared between the two groups. Results: The perioperative indexes such as operation time were significantly different between the two groups (p < 0.05), but the number of lymph node dissection was not significantly different (p > 0.05). The serum CRP level and VAS score of the observation group were significantly lower than those of the control group on the 1st, 3rd, and 7th postoperative days (p < 0.05). There were significant differences in cardiopulmonary function between the two groups on the 7th postoperative day (p < 0.05). The incidence of adverse reactions in the observation group was significantly lower than that in the control group (p > 0.05). Conclusion: CVATS is effective in the treatment of NSCLC. Compared with TOS therapy, CVATS has less damage to cardiopulmonary function and fewer complications, which is conducive to the rehabilitation of elderly patients. It is a safe and reliable scheme for the treatment of elderly patients with NSCLC.

MDFI is a novel biomarker for poor prognosis in LUAD.

Background: Approximately 80% of lung cancers are non-small cell lung cancers (NSCLC). Lung adenocarcinoma (LUAD) is the main subtype of NSCLC. The incidence and mortality of lung cancer are also increasing yearly. Myogenic differentiation family inhibitor (MDFI) as a transcription factor, its role in lung cancer has not yet been clarified. Methods: LUAD data were downloaded from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO), analyzed and plotted using the R language. Associations between Clinical information and MDFI expression were assessed using logistic regression analyses to explore the effects of MDFI on LUAD. Two sets of tissue microarrays (TMAs) further confirmed the overexpression of MDFI in LUAD and its impact on prognosis. In addition, we examined the correlation between MDFI and immune infiltration. To investigate the effect of MDFI on the biological behavior of LUAD tumor cells by GSEA and GO/KEGG analysis. The survival status and somatic mutational characteristics of patients according to MDFI levels were depicted and analyzed. Results: Expression of high MDFI in LUAD tissues via analyzing TCGA dataset (P <0.001). Kaplan-Meier survival analysis indicated a poor prognosis for those patients with LUAD who had upregulated MDFI expression levels (P <0.001). This was also verified by two groups of TMAs (P=0.024). Using logistic statistics analysis, MDFI was identified as an independent predictive factor and was associated with poor prognosis in LUAD (P <0.001, P =0.021). Assessment of clinical characteristics, tumor mutation burden (TMB), and tumor microenvironment (TME) between high- and low-expression score groups showed lower TMB, richer immune cell infiltration, and better prognosis in the low-risk group. Conclusion: This study showed that MDFI was overexpressed in LUAD and was significantly associated with poor prognosis, indicating that MDFI may be used as a potential novel biomarker for the diagnosis and prognosis of LUAD. MDFI is associated with immune infiltration of LUAD and it is reasonable to speculate that it plays an important role in tumor proliferation and spread. In view of the significant differences in MDFI expression between different biological activities, LUAD patients with MDFI overexpression may obtain more precise treatment strategies in the clinic.

Role of WTAP in Cancer: From Mechanisms to the Therapeutic Potential.

Wilms' tumor 1-associating protein (WTAP) is required for N6-methyladenosine (m6A) RNA methylation modifications, which regulate biological processes such as RNA splicing, cell proliferation, cell cycle, and embryonic development. m6A is the predominant form of mRNA modification in eukaryotes. WTAP exerts m6A modification by binding to methyltransferase-like 3 (METTL3) in the nucleus to form the METTL3-methyltransferase-like 14 (METTL14)-WTAP (MMW) complex, a core component of the methyltransferase complex (MTC), and localizing to the nuclear patches. Studies have demonstrated that WTAP plays a critical role in various cancers, both dependent and independent of its role in m6A modification of methyltransferases. Here, we describe the recent findings on the structural features of WTAP, the mechanisms by which WTAP regulates the biological functions, and the molecular mechanisms of its functions in various cancers. By summarizing the latest WTAP research, we expect to provide new directions and insights for oncology research and discover new targets for cancer treatment.

Corrigendum: Long Non-Coding RNA AL513318.2 as ceRNA Binding to hsa-miR-26a-5p Upregulates SLC6A8 Expression and Predicts Poor Prognosis in Non-Small Lung Cancer.

[This corrects the article DOI: 10.3389/fonc.2022.781903.].

High KIF11 expression is associated with poor outcome of NSCLC.

PURPOSE: To clarify the correlation between KIF11 (kinesin family member 11) and clinicopathologic characteristics of non-small cell lung cancer (NSCLC) and identify the prognostic value of KIF11 in patients with NSCLC. METHODS: For investigating the expression of KIF11 in NSCLC, two tissue microarrays (TMAs: one contained 60 paired NSCLC tissues and paratumor tissues, the other contained 140 NSCLC tissues and 10 normal lung tissues) were constructed, stained, and scored. The Cancer Genome Atlas (TCGA) datasets were used to explore the differential expression level of KIF11 between NSCLC and paratumor. Kaplan-Meier survival curves were plotted and multivariate analysis were carried out. RESULTS: The staining of KIF11 mainly distributed throughout the cytoplasm of tumor cells. Its expression was higher in NSCLC than paratumor cells, and similar results were obtained from TCGA datasets. We found that high expression of KIF11 had a significant correlation with lymph node metastases (p = 0.024) and pathologic stage (p = 0.018); that significant difference was not found in any other clinicopathologic characteristic. As univariate and multivariate analysis showed, KIF11 expression was significantly correlated with overall survival time of NSCLC (p = 0.002, p = 0.025, respectively). High KIF11 expression was found to significantly associate with overall survival of stage II-III (p = 0.001) and lung adenocarcinoma (p = 0.036). CONCLUSION: High KIF11 expression predicts poor outcome in NSCLC. KIF11 is expected to be a viable prognostic biomarker for NSCLC.

SLC6A8 is a Potential Biomarker for Poor Prognosis in Lung Adenocarcinoma.

Background: Recent studies have demonstrated that creatine can promote tumor metastasis and has implications for immune cell function. SLC6A8 encodes a membrane protein that can transport creatine inside and outside the cell. However, there are currently no studies of SLC6A8 in lung adenocarcinoma (LUAD). Methods: In this study, the expression of SLC6A8 in LUAD was analyzed using the Oncomine database, the Cancer Genome Atlas (TCGA) database, and immunohistochemical staining analysis. Survival analysis of patients with LUAD was performed using the cBioPortal and the Kaplan-Meier Plotter websites and clinical follow-up data. An analysis of the association between SLC6A8 and the tumor immune microenvironment (TIME) of LUAD was performed through the TISIDB database and estimation of stromal and immune cells in malignant tumor tissues using expression data (ESTIMATE) algorithm. Then, based on the curated list of SLC6A8-related immunomodulators, three genes (NT5E, CD40LG, CD80) were selected to construct SLC6A8-related immune signatures to further evaluate the immune aspect of LUAD prognosis. Results: Our studies indicated that SLC6A8 was overexpressed in LUAD, and the high expression of SLC6A8 was associated with poor survival. Genetic alteration of SLC6A8 was also associated with a poorer prognosis. Furthermore, multivariate Cox analysis indicated that SLC6A8 could be used as an independent risk prognostic factor. Then, immune infiltration analysis indicated that SLC6A8 was also strongly associated with poor prognosis in the TIME of LUAD. A multivariate Cox proportional hazard model was then constructed, and was shown effective at identifying high-risk patients. Univariate and multivariate Cox analysis showed that the risk scoring of the model was an independent prognostic risk factor in LUAD. Conclusion: SLC6A8 may serve as a biomarker for poor prognosis in LUAD.

Correlation of SIDT1 with Poor Prognosis and Immune Infiltration in Patients with Non-Small Cell Lung Cancer.

PURPOSE: To investigate the expression profile of systemic RNA interference deficient-1 transmembrane family member 1 (SIDT1) in patients with non-small cell lung cancer (NSCLC) and assess its prognostic value and immune infiltration. MATERIALS AND METHODS: A tissue microarray (TMA) was purchased containing 60 paired NSCLC tissues and matched para-tumor tissues, and another TMA was constructed comprising 140 NSCLC tissues. Then, immunohistochemical staining and scoring were performed. Finally, we evaluated the expression profiles and prognostic values of SIDT1 in NSCLC. Correlation between SIDT1 gene expression and the immune microenvironment of NSCLC was investigated using the ESTIMATE and CIBERSORT algorithms. RESULTS: SIDT1 was mainly detected in the cytoplasm and the cell membrane. SIDT1 expression was significantly higher in tumor tissues than in para-tumor tissues. High expression of SIDT1 was correlated with the NSCLC stage. High SIDT1 expression signals worsening overall survival (OS) in NSCLC patients, especially in stage I. In LUSC, high SIDT1 expression is an independent prognostic factor for worsening OS. CONCLUSION: High SIDT1 expression predicted a low survival rate in LUSC patients, suggesting it may be a potential target for prognostic assessment of NSCLC patients.

Long Non-Coding RNA AL513318.2 as ceRNA Binding to hsa-miR-26a-5p Upregulates SLC6A8 Expression and Predicts Poor Prognosis in Non-Small Lung Cancer.

BACKGROUND: Studies have demonstrated that the regulatory role of competitive endogenous RNA (ceRNA) networks is closely related to tumorigenesis, which provides new targets for tumor therapy. In this study, the focus was to explore the ceRNA networks that regulate SLC6A8 expression and their prognosis in non-small cell lung cancer (NSCLC). METHODS: Firstly, the Cancer Genome Atlas (TCGA) data combined with immunohistochemical staining was used to compare SLC6A8 expression in NSCLC tissues and normal tissues. Thereafter, samples from the immunohistochemical staining of NSCLC were integrated with clinical follow-up data for prognostic analysis. The Starbase database was employed to search for SLC6A8-targeted miRNAs and lncRNAs, and survival analysis was performed using clinical data from TCGA to obtain SLC6A8 expression and prognosis-related ceRNA networks. Finally, the prognostic and therapeutic prospects of SLC6A8 in NSCLC were further analyzed from methylation sites and the immune microenvironment. RESULTS: The study results revealed that SLC6A8 was significantly overexpressed in NSCLC tissues compared to normal tissues, and clinical follow-up data showed that the overexpression group was associated with poor prognosis. In addition, the Starbase data combined with TCGA clinical data analysis demonstrated that the AL513318.2/hsa-miR-26a-5p/SLC6A8 network regulates SLC6A8 overexpression in NSCLC and is associated with poor prognosis. Methylation analysis revealed that 11 methylation sites were closely associated with the prognosis of NSCLC. In addition, the immune prognostic risk model showed that the high-risk group was associated with a poorer prognosis than the low-risk group, despite showing a better immunotherapy outcome. CONCLUSION: In summary, the AL513318.2/hsa-miR-26a-5p/SLC6A8 network upregulates SLC6A8 expression in NSCLC and is associated with poor prognosis. Therefore it may be a prognostic biomarker of NSCLC and a potential therapeutic target.

Construction of an immune-related lncRNA pairs model to predict prognosis and immune landscape of lung adenocarcinoma patients.

The model of immune-related lncRNA pairs (IRLPs) seems to be an available predictor in lung adenocarcinoma (LUAD) patients. The aim of our study was to construct a model with IRLPs to predict the survival status and immune landscape of LUAD patients. Based on TCGA-LUAD dataset, a risk assessment model with IRLPs was established. Then, ROC curves were used to assess the predictive accuracy and effectiveness of our model. Next, we identified the difference of survival, immune cell infiltration, immune checkpoint inhibitor-related (ICI-related) biomarkers, and chemotherapeutics between high-risk group and low-risk group. Finally, A nomogram was built for predicting the survival rates of LUAD patients. 464 LUAD samples were randomly and equally divided into a training set and a test set. Six IRLPs were screened out to construct a risk model. K-M analysis and risk-plot suggested the prognosis of high-risk group was worse than low-risk group (p < 0.001). Multivariate analysis shows risk score was independent risk factor of LUAD (p < 0.001). In addition, the expression of immune cell infiltration, ICI-related biomarkers, chemotherapeutics all demonstrate significant difference in two groups. A nomogram was built that could predict the 1-, 3-, and 5-year survival rates of LUAD patients. Our immune-related lncRNA pairs risk model is expected to be a reliable model for predicting the prognosis and immune landscape of LUAD patients.

Gene expression and prognosis of x-ray repair cross-complementing family members in non-small cell lung cancer.

The X-ray repair cross-complementing gene (XRCC) family participates in DNA damage repair and its dysregulation is associated with the development and progression of a variety of cancers. However, XRCCs have not been systematically studied in non-small cell lung cancer (NSCLC). Using The Cancer Genome Atlas (TCGA) and Oncomine databases, we compared the expression levels of XRCCs between NSCLC and normal tissues and performed survival analysis using the data from TCGA. The correlations of XRCCs with the clinical parameters were then analyzed using UCSC Xena. Genetic alterations in XRCCs in NSCLC and their effects on the prognosis of patients were presented using cBioPortal. SurvivalMeth was used to explore the differentially methylated sites associated with NSCLC and their effect on prognosis. Next, the immunological correlations of XRCCs expression level were analyzed using TIMER 2.0. Finally, GeneMANIA was used to visualize and analyze the functionally relevant genes, while Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for functional and pathway enrichment analyses of prognostic genes. Our results revealed that XRCCs were overexpressed in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Univariate and multivariate Cox analyses showed that XRCC4/5/6 were independent risk factors for LUAD. Additionally, genetic alterations, methylation, and immune cell infiltration demonstrated an association between XRCC4/5/6 and poor prognosis in LUAD. Finally, the KEGG-enriched and non-homologous end-joining (NHEJ) pathways were shown to be associated with XRCC4/5/6. In conclusion, our study demonstrated that XRCC4/5/6 could be used as diagnostic and prognostic biomarkers for LUAD.

High expression of RAD21 predicts poor survival in patients with operated non-small-cell lung cancer.

PURPOSE: To investigate the expression profile and prognostic value of RAD21 in patients with non-small cell lung cancer (NSCLC). METHODS: A tissue microarray (TMA) containing 60 paired NSCLC tissues and peritumor tissues was purchased and another TMA containing 140 NSCLC tissues was constructed. Then, immunohistochemical staining was performed and scored. Finally, the expression profile and prognostic value of RAD21 were evaluated. RESULTS: RAD21 was predominantly detected in the nucleus of tumor and peritumor cells. RAD21 was more highly expressed in tumor tissues compared to peritumor tissues. High RAD21 expression was correlated with more lymph node metastases and advanced pathological stage, but not with any other clinicopathological features. High RAD21 expression led to worsened overall survival (OS) and was an independent prognostic factor for worsened OS in NSCLC, especially in stage II-III. CONCLUSION: High RAD21 expression indicates poor survival in patients with NSCLC. RAD21 may become a novel prognostic biomarker and therapeutic target in patients with NSCLC.

miR-486 as an unfavorable prognostic biomarker for patients with non-small cell lung cancer.

BACKGROUND: Non-small cell lung cancer (NSCLC) is the most common malignant tumor in China. miR-486 was found to be associated with many tumors. In previous study, we aimed to investigate the expression and prognostic value of miR-486 in patients with NSCLC. METHODS: In order to measure the expression of miR-486 in 140 NSCLC patients, in situ hybridization (ISH) was made. The staining of miR-486 was scored by two independent investigators. Then, the prognostic value of miR-486 was evaluated by plotting Kaplan-Meier survival curves and making multivariate analysis. RESULTS: miR-486 was mainly expressed in the cytoplasm of tumor cells. miR-486 expression was corrected with tumor differentiation (P=0.011) but not with any other clinicopathological characteristics. However, high expression of miR-486 was significantly correlated with shortened overall survival (OS) in NSCLC patients (P=0.001), especially in stage I patients (P=0.005). Multivariate analysis revealed that miR-486 was an independent prognostic factor in NSCLC patients (P=0.002). CONCLUSIONS: miR-486 high expression predicts poor survival in patients with NSCLC. miR-486 could be used as an unfavorable prognostic biomarker for NSCLC patients.