Prognosis Of Non-small Cell Lung Cancer Patients Research Articles

METTL3 promotes non-small cell lung cancer (NSCLC) cell proliferation and colony formation in a m6A-YTHDF1 dependent way

BackgroundN6-methyladenosine (m6A) is the most common RNA modification, which plays a pivotal role in tumor development and progression. In this study, we assessed the role of m6A methyltransferase METTL3 in FRAS1-involved cell proliferation and colony formation of non-small cell lung cancer (NSCLC) cell lines.MethodsCell viability was analyzed by Cell Counting Kit (CCK-8) and colony formation. M6A RNA immunoprecipitation (IP), Ribosomal immunoprecipitation, RNA immunoprecipitation (RIP) were performed to verify the relationship between METTL3, FRAS1 and YTHDF1. Rescue experiments to confirm the regulatory mechanism of METTL3-FRAS1 promoted NSCLC cell proliferation through CDON by cooperating YTHDF1.ResultsWe found that FRAS1 was correlated with poor prognosis in NSCLC patients, of which the transcript undergoes m6A modification regulated by METTL3. METTL3 silence reduced cell viability of NSCLC cells HCC827 and NCI-H1975, which could be restored by FRAS1 overexpression. The m6A modification of FRAS1 could be recognized by YTHDF1. FRAS1 silence or YTHDF1 silence could rescue the elevated NSCLC cell proliferation, colony formation, and tumor growth induced by METTL3 overexpression in vitro and in vivo.ConclusionsOur study reveals that METTL3-FRAS1 plays a crucial role in NSCLC cell proliferation, colony formation, and tumor growth through the regulation of CDON by cooperating YTHDF1.

Long non-coding RNA BZRAP1-AS1 functions in malignancy and prognosis for non-small-cell lung cancer.

PurposeThe function of BZRAP1-AS1 is unknown in lung cancer. We evaluated the clinicopathologic significance of BZRAP1-AS1, and its role in non-small-cell lung cancer (NSCLC) progression.Patient and methodsSixty-three NSCLC patients from Beijing Chest Hospital were included. The expression of BZRAP1-AS1 was detected by real-time quantitative polymerase chain reaction (RT-qPCR) in tumor tissues and adjacent normal tissues. Then, the clinicopathological significance and prognostic value of BZRAP1-AS1 were analyzed by using our cohort and TCGA cohort. Finally, the effect of BZRAP1-AS1 on proliferation and motility of NSCLC cell lines were evaluated by cell growth assay, colony formation assay, xenograft tumorigenesis experiment in nude mice and transwell assays respectively.ResultsCompared with adjacent normal tissues, BZRAP1-AS1 showed lower expression in NSCLC tumor tissues. As for the relationship between BZRAP1-AS1 and clinical characteristics, our results were consistent with those of TCGA data. BZRAP1-AS1 was lower in T1 than T2–T4 patients, N1-N3 than N0 patients. Low level BZRAP1-AS1 was related to shorter overall survival time (OS) in lung adenocarcinoma (LUAD), and poor first progression time (FP) in LUAD and lung squamous cell carcinoma (LUSC) patients. BZRAP1-AS1 was significantly associated with the prognosis of NSCLC patients. Overexpression of BZRAP1-AS1 inhibited proliferation and migration of H1299 and HCC827 cells.ConclusionBZRAP1-AS1 expression decreases in tumor tissues with the increase of malignancy grades in NSCLC. BZRAP1-AS1 plays an anticancer role by inhibiting cell proliferation, invasion, and metastasis, and has a potential prognostic value in NSCLC. BZRAP1-AS1 may serve as a diagnostic marker and therapeutic target for NSCLC.

LncRNA NEAT1 induces autophagy through the miR-128-3p/ADAM28 axis to suppress apoptosis of nonsmall-cell lung cancer.

This study aimed to identify the molecular mechanism underlying NEAT1 regulation of non-small-cell lung cancer (NSCLC) autophagy and apoptosis. The expression levels of NEAT1, miR-128-3p, and ADAM28 in NSCLC tissues and cells were examined using qRT-PCR. The relationships between NEAT1, miR-128-3p, and ADAM28 expression levels and prognosis of NSCLC patients were investigated using the Kaplan-Meier analysis method. The interactions between NEAT1, miR-128-3p, and ADAM28 were confirmed by dual-luciferase reporter assay or FISH assay. Cell proliferation and apoptosis were detected by CCK-8 and flow cytometry assays, respectively. Apoptosis and autophagy-related proteins Bax, cleaved caspase-3, cleaved caspase-9, Bcl-2, LC3, Beclin-1, and p62 were analyzed by western blotting. Finally, an in vivo NSCLC mouse xenograft model was established to confirm the in vitro data. We showed NEAT1 and ADAM28 expression levels were upregulated, while the miR-128-3p level was downregulated in NSCLC tissues and cells. NSCLC patients with high NEAT1 expression levels, low miR-128-3p levels, or high ADAM28 levels had significantly reduced overall survival times. Silencing of NEAT1 inhibited NSCLC cell autophagy and promoted apoptosis by sponging miR-128-3p. MiR-128-3p directly targeted ADAM28 and suppressed ADAM28 expression, which led to deactivation of the JAK2/STAT3 signaling pathway. Furthermore, ADAM28 overexpression attenuated miR-128-3p overexpression-induced apoptosis and autophagy inhibition in NSCLC by increasing the phosphorylation of JAK2 and STAT3. NEAT1 depletion or miR-128-3p overexpression inhibited autophagy and promoted apoptosis in vivo by suppressing ADAM28. In other word, silencing NEAT1 inhibited autophagy and then promoted NSCLC cell apoptosis by deactivating the JAK2/STAT3 signaling pathway through regulation of miR-128-3p/ADAM28 axis.

PAK4 expression is associated with the prognosis in non-small cell lung cancer.

This study attempted to determine the expression of p21-activated kinase 4 (PAK4) in non-small cell lung cancer (NSCLC) tissues and the normal lung tissues. The correlation between PAK4 expression and prognosis of NSCLC patients was also evaluated in the present study. The expression level of PAK4 was measured by high-performance liquid chromatography method. Chi-square test was adopted to explore the relationship of PAK4 expression and clinical features. Kaplan-Meier survival curves were plotted to delineate the overall survival rate of NSCLC patients. Cox regression analysis was performed to evaluate the prognostic significance of PAK4 expression in NSCLC. The PAK4 expression in NSCLC tissue samples was significantly higher than that in normal lung tissues (P<0.001) and shared significant correlation with Eastern Cooperative Oncology Group score, histological type, and distant metastasis (P<0.05). Survival curve revealed that NSCLC patients with high PAK4 expression had relatively higher mortality than those with low PAK4 expression (P = .001). Cox regression analysis explained that PAK4 expression was associated with the prognosis of NSCLC patients (P = .024; HR, 3.104; 95% CI, 1.164–8.278). In a word, PAK4 was highly expressed in NSCLC tissues and could act as a prognostic factor for NSCLC patients.

MiR-657 Targets SRCIN1 via the Slug Pathway to Promote NSCLC Tumor Growth and EMT Induction.

Background MicroRNA- (miR-) 657 has been shown to regulate immunological and inflammatory activity, and it has also been defined to be dysregulated in both non-small-cell lung cancer (NSCLC) and hepatocellular carcinoma. The mechanistic role whereby miR-657 influences NSCLC progression, however, has yet to be clarified. Methods miR-657 and SRCIN1 expression levels were assessed via qPCR in the cell lines and tissues of NSCLC. Besides, correlations between the levels of miR-657 and NSCLC patient pathological characteristics were examined, and the Kaplan-Meier approach was employed for the evaluation of the prognostic utility of miR-657 in these patients. Moreover, the Pearson correlation analyses and dual-luciferase reporter assessments were used for detecting interactive relationships between miR-657 and SRCIN1. In addition, CCK-8, EdU, and Transwell assessments were employed for the appraisal of the ability of miR-657/SRCIN1 to regulate NSCLC cell proliferation and invasion. Western blotting was employed for the assessment of the levels of NSCLC cell proteins associated with the epithelial-mesenchymal transition (EMT) that were influenced by miR-657. The nude mice xenograft tumor model is established to observe the effect of miR-657 on NSCLC growth in vivo. Results NSCLC patient tissues and cell lines exhibited upregulated miR-657 expression that was closely related to tumor differentiation, lymphoid metastasis, and TNM stage. High levels of miR-657 were predictive of a poorer NSCLC patient prognosis, and overexpressing miR-657 resulted in the more rapid growth of NCI-H1650 and A549 cells, with a concomitant increase in their invasion. In addition, miR-657 overexpression raised the levels of Slug, N-cadherin, and Vimentin in these two cell lines while promoting E-cadherin downregulation. Dual-luciferase reporter assays confirmed that miR-657 was capable of binding to the SRCIN1 gene, and SRCIN1 expression levels were negatively associated with those of miR-657, indicating that it acts as a negative regulator of this gene. Knocking down SRCIN1 was capable to reverse the influences of miR-657 inhibitor treatment on NSCLC cell behavior. Finally, in vivo studies showed that miR-657 promoted NSCLC cell growth. Conclusion The obtained findings illuminate that miR-657 can promote the growth of tumors and the induction of the EMT in NSCLC cells by targeting SRCIN1 expression and modulating Slug pathway activation, highlighting this pathway as a promising therapeutic target in cases suffering from NSCLC.

LINC00665 knockdown confers sensitivity in irradiated non-small cell lung cancer cells through the miR-582-5p/UCHL3/AhR axis

BackgroundThe resistance to radiotherapy remains a major obstacle that limits the efficacy of radiotherapy in non-small cell lung cancer (NSCLC). This study aims to illustrate the molecular mechanism underlying the role of LINC00665 in the radiosensitivity of NSCLC, which involves ubiquitin C-terminal hydrolase L3 (UCHL3).Methods and resultsThe expression of UCHL3 was determined in clinical tissue samples collected from NSCLC patients and NSCLC cell lines. We found that UCHL3 overexpression occurred in both NSCLC tissues and cells, associated with poor prognosis in NSCLC patients. Mechanistically, UCHL3 stabilized aryl hydrocarbon receptor (AhR) protein through deubiquitination, thereby promoting PD-L1 expression. UCHL3 reduced the radiosensitivity of NSCLC cells by stabilizing AhR protein. Upstream microRNAs (miRNAs) and lncRNAs of UCHL3 were predicted by microarray profiling and validated by functional experiments. LINC00665 functioned as a sponge of miR-582-5p and thus up-regulated the expression of the miR-582-5p target UCHL3. Gain- and loss- of function assays were performed to assess the effects of LINC00665, UCHL3 and miR-582-5p on the in vitro cell malignant behaviors and immune escape as well as on the in vivo tumor growth. Silencing LINC00665 or overexpressing miR-582-5p enhanced the sensitivity of NSCLC cells to radiotherapy. LINC00665 augmented the immune escape of NSCLC cells in vitro and in vivo through stabilizing AhR protein via the miR-582-5p/UCHL3 axis.ConclusionsOverall, LINC00665 reduced the radiosensitivity of NSCLC cells via stabilization of AhR through the miR-582-5p/UCHL3 axis.

GNPNAT1 Predicts Poor Prognosis and Cancer Development in Non-Small Cell Lung Cancer.

BackgroundGlucosamine-phosphate N-acetyltransferase 1 (GNPNAT1) is a key enzyme in the biosynthetic pathway of uridine diphosphate-N-acetylglucosamine and is upregulated in multiple malignancies. However, its function in cancer biology remains unclear.MethodsUsing TCGA dataset, this study analysed GNPNAT1 expression in non-small cell lung cancer (NSCLC) and assessed the correlation between GNPNAT1 and NSCLC patient prognosis. MTT and transwell assays were performed to determine the effect of GNPNAT1 on the growth and metastatic ability of lung cancer cells. GNPNAT1 expression was detected using immunohistochemistry in 78 NSCLC patients, and we analysed the correlation among clinicopathological parameters, overall survival (OS) and GNPNAT1 levels. Transcription factors that potentially regulate GNPNAT1 were explored using database analysis. RNF2 expression was verified using immunohistochemistry in NSCLC tissues.ResultsThe results indicated that GNPNAT1 was upregulated in NSCLC, and patients with high GNPNAT1 levels had a poor prognosis. GNPNAT1 overexpression promoted the proliferative and metastatic ability of lung cancer cells, whereas GNPNAT1 knockdown showed the opposite effect. GNPNAT1 expression was upregulated in NSCLC tissues compared to matched normal tissues as assessed by immunohistochemistry. Moreover, GNPNAT1 levels were positively correlated with histological type and pathological stage. The negative correlation between GNPNAT1 levels and OS was confirmed in 78 NSCLC patients. Aberrant RNF2 partly contributed to the upregulation of GNPNAT1 expression in NSCLC.ConclusionThese findings suggested that GNPNAT1 was upregulated and played an important role in NSCLC. GNPNAT1 is expected to represent an effective prognostic biomarker for NSCLC patients.

MiR-19b-3p promotes tumor progression of non-small cell lung cancer via downregulating HOXA9 and predicts poor prognosis in patients.

MiR-19b-3p has been reported in several types of human cancer. Nevertheless, the expression profile and biological functions of miR-19b-3p remain unclear in non-small cell lung cancer (NSCLC). The expression level of miR-19b-3p was evaluated in NSCLC tissues and cell lines using qRT-PCR. Survival analysis was performed using Kaplan-Meier curves, while the prognostic significance of miR-19b-3p was analyzed using Cox regression analysis in 80 NSCLC patients. The effects of miR-19b-3p on cell proliferation and invasion capacities were analyzed using CCK-8, crystal violet, and transwell assays. Target genes of miR-19b-3p were assessed using luciferase reporter assay, qRT-PCR, Western blot and rescue experiments. MiR-19b-3p was found to be upregulated in human NSCLC tissues and cell lines. The expression of miR-19b-3p was observed to be closely associated with TNM stage and metastasis. High expression of miR-19b-3p was found to be capable of predicting poor clinical prognosis in NSCLC patients. Whilst overexpression of miR-19b-3p was demonstrated to promote the proliferation and invasion of NSCLC cells, knockdown of miR-19b-3p showed an opposite inhibitory effect. Bioinformatics analysis and luciferase reporter assays confirmed that HOXA9 is a direct target of miR-19b-3p. Functional assays demonstrated that NSCLC cell proliferation and invasion were promoted by miR-19b-3p via negative regulation of HOXA9. Finally, overexpression of HOXA9 was shown to partially reverse the tumor promoting effect of miR-19b-3p. This study indicates that miR-19b-3p is a crucial prognostic biomarker of NSCLC, and that targeting of the miR-19b-3p/HOXA9 axis may be a promising strategy in NSCLC therapy.

Circular RNA circTTBK2 facilitates non-small-cell lung cancer malignancy through the miR-873-5p/TEAD1/DERL1 axis.

Aim: The underlying mechanisms by which circular RNAs (circRNAs) regulate non-small-cell lung cancer (NSCLC) progression remain elusive. This study investigated the role of circRNA circTTBK2 in NSCLC tumorigenesis. Materials & methods: Quantitative reverse transcriptase polymerase chain reaction analysis of circTTBK2 in NSCLC tissues and cell lines was performed. Cell proliferation, migration, invasion and tumorigenesis were confirmed in vitro and in vivo using CCK-8, EdU incorporation, Transwell assays and xenograft technique. The circTTBK2/miR-873-5p/TEAD1/DERL1 axis was verified by RNA immunoprecipitation, chromatin immunoprecipitation and luciferase reporter assays. Results: Overexpressed circTTBK2 in NSCLC tissues indicates poor prognosis of NSCLC patients. circTTBK2 harbors miR-873-5p, and miR-873-5p directly targets TEAD1. TEAD1 transcriptionally activates DERL1. Conclusion: This study revealed a novel machinery of circTTBK2/miR-873-5p/TEAD1/DERL1 for NSCLC tumorigenesis.

Xanthotoxol suppresses non-small cell lung cancer progression and might improve patients’ prognosis

BackgroundDeveloping novel and effective drugs with less toxicity is urgent for non-small cell lung cancer (NSCLC) therapy. Xanthotoxol (Xan) is the major natural component of the medical plant Angelica dahurica with potential anti-cancer activities. PurposeIn this study, we aimed to demonstrate the effect and underlying mechanism of Xan in NSCLC and evaluate the effectiveness of Xan in NSCLC patients. MethodsCCK8, colony formation, EdU, flow cytometry, and transwell assays were carried out to investigate the anti-NSCLC activity of Xan in vitro. In addition, the xenograft mouse model was established to evaluate the anti-NSCLC effect of Xan in vivo. Moreover, bioinformatics analysis was performed to establish a prediction model based on RNA sequencing data. Furthermore, Western blot was used to detect the expression of proteins regulated by Xan. ResultsXan inhibited the cell viability, colony formation capacity, DNA replication, cell cycle transition, migration and invasion, as well as inducing apoptosis of NSCLC cells. In addition, Xan suppressed NSCLC xenograft growth in vivo without obvious toxicity. Interestingly, bioinformatics analyses based on the RNA sequencing data indicated that Xan exerted inhibitory effects on NSCLC cells by down-regulating signals contributing to NSCLC progression and demonstrated that Xan was effective in ameliorating the prognosis of NSCLC patients with a new proposed prediction model. Moreover, Xan was shown to regulate cell cycle arrest, apoptosis, and epithelial-mesenchymal transition (EMT)-associated genes through downregulating PI3K-AKT signaling, thus suppressing NSCLC proliferation and metastasis. ConclusionsTaken together, our work proved that Xan induced cell cycle arrest, facilitated apoptosis, and inhibited EMT processes through downregulating the PI3K-AKT pathway to suppress NSCLC progress. Moreover, we also proposed a new model for evaluating Xan as a novel and effective drug in NSCLC treatments.

Prognostic Evaluation of CT Imaging Big Data-Assisted Arterial Chemoembolization Combined with 125I Seed Implantation for Non-Small-Cell Lung Cancer.

Objective To investigate the prognostic impact of computed tomography (CT) imaging big data-assisted arterial chemoembolization combined with iodine 125 (125I) seed implantation on patients with non-small-cell lung cancer (NSCLC). Methods A total of 116 patients with intermediate and advanced NSCLC hospitalized in our hospital from August 2019 to August 2020 were selected and divided into a control group and an experiment group (58 cases in each group) by random number table method for the study. The patients in the experiment group were treated with CT imaging big data-assisted arterial chemoembolization combined with 125I seed implantation, while the patients in the control group were treated with arterial chemoembolization alone, with the use of gemcitabine combined with cisplatin (GP) in chemotherapy. The prognostic impact was determined by analyzing recent efficacy; the incidence of adverse effects; tumor size and CT perfusion parameters including blood volume (BV), blood flow (BF), and permeability surface (PS); frailty state and quality of life; and the levels of serum tumor markers including carcinoembryonic antigen (CEA), glycoconjugate antigen 125 (CA125), cytokeratin 19 fragment antigen 21-1 (CYFRA21-1), microRNA- (miRNA-) 137, and miR-379-5p. In addition, frailty status was evaluated using the Fried frailty phenotype (FP) scale, and quality of life was determined according to Karnofsky Performance Status (KPS) score. Kaplan-Meyer (KM) method was used to analyze the survival rate of NSCLC patients after a 12-month follow-up. Results The remission rate in the experiment group (77.59%) was higher than that in the control group (56.90%) (P < 0.05). Tumor size, BV, BF, PS, serum CEA and CA125 levels, and FP value in both groups were dramatically reduced after treatment compared with before treatment, especially in the experiment group after 1 and 3 months of treatment (P < 0.05). Meanwhile, the serum miR-137 and miR-379-5p levels and KPS scores in both groups were higher after treatment than before treatment, especially in the experiment group after 1 and 3 months of treatment (P < 0.05). However, there was no significant difference in the incidence of nausea and vomiting, alopecia, diarrhea, myelosuppression, and hemoptysis of NSCLC patients in both groups after treatment (P > 0.05). Further, the 12-month survival rate of NSCLC patients was higher in the experiment group (84.21%) than in the control group (64.29%) (P < 0.05). Conclusion CT imaging big data-assisted arterial chemoembolization combined with 125I seed implantation for NSCLC can improve recent efficacy and the prognosis of NSCLC patients by inhibiting tumor progression with a certain degree of safety.

Identification and Validation of Immune-Related Long Non-Coding RNA Signature for Predicting Immunotherapeutic Response and Prognosis in NSCLC Patients Treated With Immunotherapy.

BackgroundNumerous studies have reported that long non-coding RNAs (lncRNAs) play important roles in immune-related pathways in cancer. However, immune-related lncRNAs and their roles in predicting immunotherapeutic response and prognosis of non-small cell lung cancer (NSCLC) patients treated with immunotherapy remain largely unexplored.MethodsTranscriptomic data from NSCLC patients were used to identify novel lncRNAs by a custom pipeline. ImmuCellAI was utilized to calculate the infiltration score of immune cells. The marker genes of immunotherapeutic response-related (ITR)-immune cells were used to identify immune-related (IR)-lncRNAs. A co-expression network was constructed to determine their functions. LASSO and multivariate Cox analyses were performed on the training set to construct an immunotherapeutic response and immune-related (ITIR)-lncRNA signature for predicting the immunotherapeutic response and prognosis of NSCLC. Four independent datasets involving NSCLC and melanoma patients were used to validate the ITIR-lncRNA signature.ResultsIn total, 7,693 novel lncRNAs were identified for NSCLC. By comparing responders with non-responders, 154 ITR-lncRNAs were identified. Based on the correlation between the marker genes of ITR-immune cells and lncRNAs, 39 ITIR-lncRNAs were identified. A co-expression network was constructed and the potential functions of 38 ITIR-lncRNAs were annotated, most of which were related to immune/inflammatory-related pathways. Single-cell RNA-seq analysis was performed to confirm the functional prediction results of an ITIR-lncRNA, LINC01272. Four-ITIR-lncRNA signature was identified and verified for predicting the immunotherapeutic response and prognosis of NSCLC. Compared with non-responders, responders had a lower risk score in both NSCLC datasets (P<0.05). NSCLC patients in the high-risk group had significantly shorter PFS/OS time than those in the low-risk group in the training and testing sets (P<0.05). The AUC value was 1 of responsiveness in the training set. In melanoma validation datasets, patients in the high-risk group also had significantly shorter OS/PFS time than those in the low-risk group (P<0.05). The ITIR-lncRNA signature was an independent prognostic factor (P<0.001).ConclusionThousands of novel lncRNAs in NSCLC were identified and characterized. In total, 39 ITIR-lncRNAs were identified, 38 of which were functionally annotated. Four ITIR-lncRNAs were identified as a novel ITIR-lncRNA signature for predicting the immunotherapeutic response and prognosis in NSCLC patients treated with immunotherapy.

Ryanodine receptor (RYR) mutational status correlates with tumor mutational burden, age and smoking status and stratifies non-small cell lung cancer patient prognosis.

BackgroundThe ryanodine receptors (RYRs) have been implicated in many muscular, cardiac and neurological diseases. However, there are almost no studies so far focusing on RYR genetic alterations and its roles in cancer, especially in non-small cell lung cancer (NSCLC).MethodsThe whole-exome sequencing (WES) data, demographic and clinical data of 1,052 NSCLC patients was downloaded from The Cancer Genome Atlas (TCGA) database and analyzed using the corresponding packages of the R software. Mutational profile was established and its correlation with tumor mutational burden (TMB), prognosis, age and smoking status was analyzed and compared.ResultsRYR mutations were found in 502 NSCLC patients, in which mutations of RYR1, RYR2 and RYR3 were found in 17.3% (182/1,052), 40.0% (421/1,052) and 21.3% (224/1,052) of patients, respectively. Random distribution of mutations without hotspot mutations were observed with all three RYR isoforms. Significant co-mutations were found between RYR1 and RYR3, while mutual exclusive mutations were found between RYR1 and RYR2, and between RYR2 and RYR3. Significant correlation was found between cumulative number of mutations and cumulative TMB for all three RYR isoforms, and patients with RYR mutations exhibited significantly higher TMB than those without RYR mutations. Significant correlation was also found between mutational status and age in RYR2 and RYR3, and between mutational status and smoking history grading in all three isoforms, and between mutational status and number of pack years in RYR3. More interestingly, significant stratification of patient survival was revealed by RYR2 mutational status, which was found to be one of the independent risk factors for patient prognosis in multivariate Cox analysis.ConclusionsThe mutational profile of RYR in NSCLC has been characterized for the first time. Strong correlation was found between RYR mutational status and TMB, age and smoking status. RYR2 mutational status was an independent risk factor for NSCLC patient prognosis.

MPZL1 upregulation promotes tumor metastasis and correlates with unfavorable prognosis in non-small cell lung cancer.

Non-small cell lung cancer (NSCLC), accounting for 85% of all lung cancer, is one of the leading causes of cancer-related death worldwide. Previously, we demonstrated that MPZL1 gene amplification promotes liver cancer metastasis through activating Src/Cortactin pathway. However, the clinical relevance and biological roles of the MPZL1 gene in lung cancer are still unknown. Here, we found that MPZL1 expression upregulates in human NSCLC, which is partly due to the copy number amplification of this gene. Next, we observed that high MPZL1 expression correlates with unfavorable prognosis of NSCLC patients. We further demonstrated that ectopic MPZL1 overexpression promotes in vitro migratory but not proliferation and colony formation abilities of both H1299 and H460 cells. Consistently, we found that MPZL1 knockdown impairs the migratory abilities of A549 and H1775 cells. Moreover, we found that MPZL1 knockdown inhibits in vivo metastatic but not tumor growth abilities of the A549 cells. Additionally, a total of 297 differentially expressed genes (DEGs) were identified by RNA sequencing in A549 cells upon MPZL1 knockdown. By integrative analysis of DEGs regulated by MPZL1 in A549 cells and human NSCLC tissues, we revealed that COL11A1 is the potential effector gene that positively regulated by MPZL1 and correlates with poor prognosis of NSCLC patients. In conclusion, our work indicates that one of the mechanisms by which MPZL1 promotes NSCLC metastasis is through upregulating the COL11A1, and MPZL1 can be used as a biomarker to predict the prognosis of NSCLC patients.

Construction and validation of a nomogram based on N6-Methylandenosine-related lncRNAs for predicting the prognosis of non-small cell lung cancer patients.

The N6-methyladenosine (m6 A) can modify long non-coding RNAs (lncRNAs), thereby influencing a wide array of biological functions. However, the prognosis of m6 A-related lncRNAs (m6 ARLncRNAs) in non-small cell lung cancer (NSCLC) remains largely unknown. Pearson correlation analysis was used to identify m6 ARLncRNAs in 1835 NSCLC patients and with the condition (|Pearson R| > 0.4 and p < 0.001). Univariant Cox regression analysis was conducted to explore the prognostic m6 ARLncRNAs. We filtered prognostic m6 ARLncRNAs by LASSO regression and multivariate Cox proportional hazard regression to construct and validate an m6 ARLncRNAs signature (m6 ARLncSig). We analyzed the correlation between the m6 ARLncSig score and clinical features, immune microenvironment, tumor mutation burden, and therapeutic sensitivity and conducted independence and clinical stratification analysis. Finally, we established and validated a nomogram for prognosis prediction in NSCLC patients. Forty-one m6 ARLncRNAs were identified as prognostic lncRNAs, and 12 m6 ARLncRNAs were selected to construct m6 ARLncSig in the TCGA training dataset. The m6 ARLncSig was further validated in the testing dataset, GSE31210, GSE37745, GSE30219, and our NSCLC samples. In terms of m6 ARLncSig, NSCLC patients were divided into high- and low-risk groups, with significantly different overall survival (OS), clinical features (age, sex, and tumor stage), tumor-infiltrating immune cells, chemotherapeutic sensitivity, radiotherapeutic response, and biological pathways. Moreover, m6 ARLncSig independently predicted the OS of NSCLC patients. Finally, the robustness and clinical practicability for predicting NSCLC patient prognosis was improved by constructing a nomogram containing the m6 ARLncSig, age, gender, and tumor stage. Our study demonstrated that m6 ARLncSig could act as a potential biomarker for evaluating the prognosis and therapeutic efficacy in NSCLC patients.

Abstract 1713: Delineation of cell subpopulations and cell cell interactions to determine correlations between drug response and tumor microenvironment in early-stage lung cancer

Abstract Purpose The tumor microenvironment (TME) is an integral player in cancer initiation, tumor progression, response and resistance to anti-cancer therapy. Understanding the complex interactions of tumor immune architecture has therefore become increasingly desirable to guide patient selection. Conventional studies that underestimate the potential value of the spatial architecture of the TME are unable to completely elucidate its complexity. To overcome these limitations, we used quantitative image analysis based on multiplexed immunohistochemistry and deep learning technologies to interrogate complex information from the tumor microenvironment and find predictive insights into treatment response for non-small cell lung cancer (NSCLC). Method We used tumor tissues samples from resected NSCLC (adenocarcinoma and squamous cell carcinoma) tumors treated with adjuvant pembrolizumab therapy. Patient frozen tissue sections were prepared and stained using a panel of 20 immune or tumor-related antibodies. Different metal tags were assigned to each antibody. The stained cells were then detected and analyzed by the Hyperion™ Imaging System. Further data analysis was performed using proprietary workflow to identify which cells are influencing the treatment response and how they are spatially distributed relative to each other. Results Tumor samples of NSCLC with similar clinical characteristics at the T1N0M0 had different cells types, including CD4+ T cells, CD8+ T cells, CD20+ B cells, CD14+ macrophages, CD56+ natural killer cells, granulocytes, etc. More immunosuppressive cells were found in the sample of patient that did not respond to immunotherapy illustrating that differences in the tumor microenvironment of samples may contribute to different patients’ resistance to immunotherapy. Moreover, unsupervised clustering analysis reveal cell type signatures that are relevant to the prognoses of NSCLC. Conclusion High-multiplexed proteomics analyses using the Hyperion imaging system help identify and analyze the tumor microenvironment heterogeneity of NSCLC and explain the factors leading to different prognoses for NSCLC patients despite the same TNM stage. Furthermore, additional information for screening drugs for targeted therapy was found, that could greatly improve NSCLC treatments’ individualization. Citation Format: Corinne Ramos, Journe Anne Sophie, Amandine Gerstenberg, Fabien Pamelard, Jonathan Stauber. Delineation of cell subpopulations and cell cell interactions to determine correlations between drug response and tumor microenvironment in early-stage lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1713.

Prognostic effect of TP53 mutation combined with EGFR mutation or KRAS mutation on non-small cell lung cancer.

e21046 Background: To explore the prognostic value of TP53 co-mutation with EGFR or KRAS in advanced non-small cell lung cancer. Methods: 314 patients with advanced non-small cell lung cancer (NSCLC) admitted to the Department of Oncology of the Fourth Hospital of Hebei Medical University from January 2016 to January 2021 were retrospectively analyzed, all with complete genetic information.According to the analysis results, EGFR and KRAS were identified as co-mutated genes.TP53 mutation was used as the experimental group and TP53 wild as the control group.Patients in TP53 mutation group were further classified and discussed according to different exon 4, 5, 6, 7, 8, other mutations and mutations could not be classified.Co-mutation group was studied according to TP53/KRAS mutation status, and according to KRASG12 mutation, Patients were divided into TP53/KRASG12C (wt/wt), TP53/KRASG12C (wt/mut), TP53/KRASG12C (mut/mut) and TP53/KRASG12C (mut/mut) for further grouping.In the study of TP53/EGFR co-mutation, TP53/EGFR mutation status was divided into groups, and subgroup analysis was conducted according to different TP53 exon mutations.SPSS 26.0 software was used to analyze the data, and P &lt; 0.05 indicated statistical difference. Results: The frequency of single gene mutation in 314 patients was analyzed. The most common mutation was TP53 (64.3%), followed by EGFR (49.4%).TP53wt group compared with TP53mut group OS (34.3m vs 28.9m; HR = 1.263, 95% ci: 0.933 1.709;P = 0.131).The OS of Exon4 group was 23 months, Exon8 group was 44.5 months, and TP53wt group was 34.3 months, no statistical significance was observed (P = 0.159).In the TP53/KRAS co-mutation group, the median OS of KRAS/TP53 (mut/mut) group and KRAS/TP53 (wt/wt) group was 29.4m vs 34.3m; HR = 2.482, 95%Cl:1.378-4.471, P = 0.002).In subgroup analysis, the median OS of KRASG12Cmut/TP53mut group and KRASG12Cmut/TP53wt group were (8.9m vs 34.9m; HR = 38.268, 95%CL: 8.359-175.183, P = 0.199), (3.1m vs 34.3m; HR = 2.572, 95%Cl:1.344-4.922,P = 0.004).In the TP53/EGFR co-mutation group, the median OS of EGFRmut/TP53mut, EGFRwt/TP53mut, EGFRmut/TP53wt and EGFRwt/TP53wt were 32.9, 17.9, 42.7 and 31.2 months, respectively (P = 0.004).In subgroup analysis, the median OS of EGFRmut/ TP53Exon4-mut versus EGFRwt/TP53wt group was (25.8m vs 31.1m; HR = 2.909, 95%Cl: 1.438-5.886, P = 0.003). Conclusions: TP53 is a factor of poor prognosis in NSCLC patients, patients with TP53/KRAS co-mutation have poor survival, and kRASG12C-mut /TP53mut subgroup have worse prognosis.Patients with TP53/EGFR co-mutation had a better prognosis, and the EGFRmut/ TP53Exon4-mut subgroup had the worst prognosis.

M6A regulator expression patterns predict the immune microenvironment and prognosis of non-small cell lung cancer.

The m6A methylation modification is one of the most common mRNA modifications, and involved in a variety of biological processes, such as cell death, cancer stem cell formation and tumorigenesis. Increasing evidences have demonstrated that the expression patterns of m6A regulators are significantly correlated with PD-L1 level some solid tumors, but few study has explored the function of m6A regulators in the immune microenvironment and prognosis in non-small cell lung cancer (NSCLC). Survival analysis was independently conducted for 20 m6A regulators to explore their prognostic value in NSCLC, and then the prognostic risk model based on m6A regulator expression profiles is built to stratify NSCLC patients. Also, the correlation analysis between immune infiltrating cells and m6A regulators is used to reveal the impact of m6A on immune microenvironment of NSCLC. Furthermore, to explore the function of m6A as biomarker of anit-PD-L1 therapeutic effect, we explored the associations of tumor mutation burden (TMB) and PD-L1 levels to 20 m6A regulator expression patterns in NSCLC. First, the expressions of 20 m6A regulators in NSCLC tissues were significantly increased compared to normal tissues. Survival analysis revealed that three genes, METTL3, HNRNPC and VIRMA, were markedly correlated to the prognosis of NSCLC patients. In particular, cox regression analysis verified that METTL3 could be used as an independent prognostic factor to predict the survival rate of NSCLC patients. Second, the risk prognostic model built on seven m6A regulators can effectively stratify NSCLC patients, and the low-risk subgroup had better prognosis compared to high-risk group. Finally, a few m6A regulators showed significant associations with immune microenvironment, as well as TMB and PD-L1 level, suggesting that the m6A RNA methylation is indicative of therapeutic effect of anti-PD-L1 treatment. Our study identified some m6A regulatory factors as independent risk factors for the prognosis of NSCLC, and the expression patterns of m6A regulators are also correlated to the immune infiltration, as well as TMB and PD-L1 level in NSCLC. The m6A regulators could be used as biomarkers indicative of immunotherapy to NSCLC patients.

Application and Prospect of CRISPR/Cas9 Technology in Reversing Drug Resistance of Non-Small Cell Lung Cancer.

Cancer drug resistance has always been a major factor affecting the treatment of non-small cell lung cancer, which reduces the quality of life of patients. The clustered regularly interspaced short palindromic repeats/CRISPR associated protein 9 (CRISPR/Cas9) technology, as an efficient and convenient new gene-editing technology, has provided a lot of help to the clinic and accelerated the research of cancer and drug resistance. In this review, we introduce the mechanisms of drug resistance in non-small cell lung cancer (NSCLC), discuss how the CRISPR/Cas9 system can reverse multidrug resistance in NSCLC, and focus on drug resistance gene mutations. To improve the prognosis of NSCLC patients and further improve patients’ quality of life, it is necessary to utilize the CRISPR/Cas9 system in systematic research on cancer drug resistance.

A novel tRNA-derived fragment AS-tDR-007333 promotes the malignancy of NSCLC via the HSPB1/MED29 and ELK4/MED29 axes

BackgroundTransfer RNA-derived fragments (tRFs) are a new class of small non-coding RNAs. Recent studies suggest that tRFs participate in some pathological processes. However, the biological functions and mechanisms of tRFs in non-small cell lung cancer (NSCLC) are largely unknown.MethodsDifferentially expressed tRFs were identified by tRF and tiRNA sequencing using 9 pairs of pre- and post-operation plasma from patients with NSCLC. Quantitative real-time PCR (qRT-PCR) and fluorescence in situ hybridization (FISH) were used to determine the levels of tRF in tissues, plasma, and cells. Gain- and loss-of-function experiments were implemented to investigate the oncogenic effects of tRF on NSCLC cells in vitro and in vivo. Chromatin immunoprecipitation (ChIP), luciferase reporter, RNA pulldown, mass spectrum, RNA immunoprecipitation (RIP), Western blot, co-immunoprecipitation (Co-IP) assays, and rescue experiments were performed to explore the regulatory mechanisms of tRF in NSCLC.ResultsAS-tDR-007333 was an uncharacterized tRF and significantly up-regulated in NSCLC tissues, plasma, and cells. Clinically, AS-tDR-007333 overexpression could distinguish NSCLC patients from healthy controls and associated with poorer prognosis of NSCLC patients. Functionally, overexpression of AS-tDR-007333 enhanced proliferation and migration of NSCLC cells, whereas knockdown of AS-tDR-007333 resulted in opposite effects. Mechanistically, AS-tDR-007333 promoted the malignancy of NSCLC cells by activating MED29 through two distinct mechanisms. First, AS-tDR-007333 bound to and interacted with HSPB1, which activated MED29 expression by enhancing H3K4me1 and H3K27ac in MED29 promoter. Second, AS-tDR-007333 stimulated the expression of transcription factor ELK4, which bound to MED29 promoter and increased its transcription. Therapeutically, inhibition of AS-tDR-007333 suppressed NSCLC cell growth in vivo.ConclusionsOur study identifies a new oncogenic tRF and uncovers a novel mechanism that AS-tDR-007333 promotes NSCLC malignancy through the HSPB1-MED29 and ELK4-MED29 axes. AS-tDR-007333 is a potential diagnostic or prognostic marker and therapeutic target for NSCLC.