Potential Biomarker For Lung Cancer Research Articles

Ribonucleotide reductase regulatory subunit M2 (RRM2) as a potential sero-diagnostic biomarker in non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is a major cause of cancer-related death worldwide. Most cases are diagnosed at an advanced stage using current tumor markers. Here, we aimed to identify potential novel potential biomarkers for NSCLC. Four independent datasets from the Gene Expression Omnibus database were analyzed. The relative expression of ribonucleotide reductase regulatory subunit M2 (RRM2) mRNA in 30 paired of NSCLC paired tissues was measured by reverse transcription quantitative PCR. Serum levels of cytokeratin fragment 21-1 (CYFRA21-1), pro-gastrin-releasing peptide (ProGRP), carcinoembryonic antigen (CEA), and neuron-specific enolase (NSE) were measured using electrochemiluminescence immunoassays, and serum RRM2 levels were evaluated by an enzyme-linked immunosorbent assay. The mRNA expression level of RRM2 was significantly increased in most NSCLC lesions compared to para-adjacent tissues. Serum RRM2 levels in NSCLC patients were significantly elevated compared to healthy controls and were also associated with distant metastasis and histological type, but not with tumor size or lymph node metastasis. Receiver operating characteristic curve analysis showed a higher diagnostic ratio for NSCLC using RRM2 alone compared to other traditional tumor markers. RRM2 is a potential sero-diagnostic biomarker for NSCLC.

Exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening.

Background: Small cell lung cancer (SCLC) is characterized by extreme invasiveness and lethality. There have been very few developments in its diagnosis and treatment over the past decades. It is urgently needed to explore potential novel biomarkers and drug targets for SCLC. Methods: Two-sample Mendelian Randomization (MR) was performed to investigate causal associations between SCLC and plasma proteins using genome-wide association studies (GWAS) summary statistics of SCLC from Transdisciplinary Research Into Cancer of the Lung Consortium (nCase = 2,791 vs. nControl = 20,580), and was validated in another cohort (nCase = 2,664 vs. nControl = 21,444). 734 plasma proteins and their genetic instruments of cis-acting protein quantitative trait loci (pQTL) were used, whereas external plasma proteome data was retrieved from deCODE database. Bidirectional MR, Steiger filtering and phenotype scanning were applied to further verify the associations. Results: Seven significant (p < 6.81 × 10-5) plasma protein-SCLC pairs were identified by MR analysis, including ACP5 (OR = 0.76, 95% CI: 0.67-0.86), CPB2 (OR = 0.90, 95% CI: 0.86-0.95), GSTM3 (OR = 0.45, 95% CI: 0.33-0.63), SHMT1 (OR = 0.74, 95% CI: 0.64-0.86), CTSB (OR = 0.79, 95% CI: 0.71-0.88), NTNG1 (OR = 0.81, 95% CI: 0.74-0.90) and FAM171B (OR = 1.40, 95% CI: 1.21-1.62). The external validation confirmed that CPB2, GSTM3 and NTNG1 had protective effects against SCLC, while FAM171B increased SCLC risk. However, the reverse causality analysis revealed that SCLC caused significant changes in plasma levels of most of these proteins, including decreases of ACP5, CPB2, GSTM3 and NTNG1, and the increase of FAM171B. Conclusion: This integrative analysis firstly suggested the causal associations between SCLC and plasma proteins, and the identified several proteins may be promising novel drug targets or biomarkers for SCLC.

Experimental and clinical validation of diagnostic and prognostic biomarkers identified by integrated study of microRNA and mRNA expression patterns in lung cancer

Lung cancer remains a leading cause of cancer-related mortality worldwide, with a complex molecular pathogenesis that is still not fully understood. Given the challenging task of distinguishing between subtypes of lung cancer (LUAD and LUSC), this study aimed to evaluate the potential of microRNAs (miRNAs) as biomarkers for differentiating these subtypes, by leveraging cancer genomics data. We used bioinformatics analysis for miRNA target prediction. In this regard, a miRNA-mRNA interaction network was defined and pathway analysis was subsequently established. To verify the results of the bioinformatic analysis, we conducted clinical and pre-clinical experiments. We carried out survival analysis, comparing gene expression and mortality rates between two major subtypes of lung cancer, LUSC and LUAD, from 45 lung cancer patients. Additionally, in vitro and in vivo studies were performed using human lung cancer cell lines to alter the expression of miR-21 and miR-326 using plasmid models. Finally, we conducted numerous assays to evaluate cell viability, cell migration and invasion, apoptosis, and cell cycle detection. We observed 102 miRNAs and 1,974 mRNAs as having differential expression in LUAD, whereas 143 miRNAs and 2,821 mRNAs were shown to have such an effect in LUSC. We found that hsa-mir-375 might significantly distinguish LUAD from LUSC, and our clinical validation demonstrated that the level of hsa-mir-375 was significantly higher in LUAD than in LUSC. In terms of finding a diagnostic marker, we discovered that a high level of hsa-mir-21 and/or hsa-mir-326 correlated with a worse prognosis. Our subsequent pre-clinical experiment showed that high expression of hsa-mir-21 and/or hsa-mir-326 significantly increased the aggressiveness of lung cancer and that inhibition of these miRNAs could potentially decrease the tumorigenic behavior of lung cancer cell lines. In conclusion, hsa-mir-21 and hsa-mir-326 might be potential diagnostic biomarkers for lung cancer and hsa-mir-375 might be a potential LUAD and LUSC distinguishing biomarker.

Circular RNA hsa_circ_0049657 as a Potential Biomarker in Non-Small Cell Lung Cancer.

Non-small cell lung cancer (NSCLC) is a common lung disorder. In this study, we applied bioinformatics methods to analyze and investigate the role of the NFIX gene in NSCLC. Hsa_circ_0049657 is derived from the NFIX gene, this research aimed to verify the potential role of hsa_circ_0049657 in the development of NSCLC. The results suggested that NFIX was downregulated in most cancers. In addition, the NFIX expression in lung adenocarcinoma (LUAD) was associated with the clinicopathological stage. In LUAD, NFIX expression was associated with the degree of infiltration of most immune cells. The expression levels of hsa_circ_0049657 were significantly lower in cancerous tissues than in paracancerous tissues. Moreover, the results showed that hsa_circ_0049657 expression was downregulated in NSCLC cells. After overexpression of hsa_circ_0049657, the proliferation and migration ability of NSCLC cells were significantly inhibited and the level of apoptosis was increased. We could suppress the proliferation and invasion abilities and promote apoptosis of NSCLC cells by up-regulating hsa_circ_0049657, which might be a potential biomarker for NSCLC.

Preliminary investigation of elevated collagen and blood-clotting markers as potential noninvasive biomarkers for small cell lung cancer.

Small cell lung cancer (SCLC) is highly aggressive with limited therapeutic options and a poor prognosis. Moreover, noninvasive biomarker tools for detecting disease and monitoring treatment response are lacking. To address this, we evaluated serum biomarkers of extracellular matrix proteins not previously explored in SCLC. We measured biomarkers in the serum of 16 patients with SCLC before and after chemotherapy as well as in the serum of 11 healthy individuals. Our findings demonstrated that SCLC serum had higher levels of collagen type I degradation, collagen type III formation, and collagen type XI formation than healthy controls. In addition, we observed higher levels of type XIX and XXII collagens, fibrinogen, and von Willebrand factor A formation in SCLC serum. The formation of type I collagen did not exhibit any discernible variation. However, we observed a decrease in the degradation of type I collagen following chemotherapy. Overall, our findings revealed elevated levels of collagen and blood-clotting markers in the serum of SCLC patients, indicating the potential of ECM proteins as noninvasive biomarkers for SCLC.

Predicting potential lncRNA biomarkers for lung cancer and neuroblastoma based on an ensemble of a deep neural network and LightGBM.

Introduction: Lung cancer is one of the most frequent neoplasms worldwide with approximately 2.2 million new cases and 1.8 million deaths each year. The expression levels of programmed death ligand-1 (PDL1) demonstrate a complex association with lung cancer. Neuroblastoma is a high-risk malignant tumor and is mainly involved in childhood patients. Identification of new biomarkers for these two diseases can significantly promote their diagnosis and therapy. However, in vivo experiments to discover potential biomarkers are costly and laborious. Consequently, artificial intelligence technologies, especially machine learning methods, provide a powerful avenue to find new biomarkers for various diseases. Methods: We developed a machine learning-based method named LDAenDL to detect potential long noncoding RNA (lncRNA) biomarkers for lung cancer and neuroblastoma using an ensemble of a deep neural network and LightGBM. LDAenDL first computes the Gaussian kernel similarity and functional similarity of lncRNAs and the Gaussian kernel similarity and semantic similarity of diseases to obtain their similar networks. Next, LDAenDL combines a graph convolutional network, graph attention network, and convolutional neural network to learn the biological features of the lncRNAs and diseases based on their similarity networks. Third, these features are concatenated and fed to an ensemble model composed of a deep neural network and LightGBM to find new lncRNA-disease associations (LDAs). Finally, the proposed LDAenDL method is applied to identify possible lncRNA biomarkers associated with lung cancer and neuroblastoma. Results: The experimental results show that LDAenDL computed the best AUCs of 0.8701, 107 0.8953, and 0.9110 under cross-validation on lncRNAs, diseases, and lncRNA-disease pairs on Dataset 1, respectively, and 0.9490, 0.9157, and 0.9708 on Dataset 2, respectively. Furthermore, AUPRs of 0.8903, 0.9061, and 0.9166 under three cross-validations were obtained on Dataset 1, and 0.9582, 0.9122, and 0.9743 on Dataset 2. The results demonstrate that LDAenDL significantly outperformed the other four classical LDA prediction methods (i.e., SDLDA, LDNFSGB, IPCAF, and LDASR). Case studies demonstrate that CCDC26 and IFNG-AS1 may be new biomarkers of lung cancer, SNHG3 may associate with PDL1 for lung cancer, and HOTAIR and BDNF-AS may be potential biomarkers of neuroblastoma. Conclusion: We hope that the proposed LDAenDL method can help the development of targeted therapies for these two diseases.

Prognostic role of C-reactive protein to albumin ratio in lung cancer: An updated systematic review and meta-analysis.

C-reactive protein to albumin ratio (CRP/Alb ratio, CAR) has been suggested as a potential prognostic biomarker in lung cancer. This updated systematic review and meta-analysis aimed to assess the association between CAR and lung cancer prognosis in current literature. A systematic search of databases was conducted to identify relevant studies published up to April 2023. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess the association between CAR and overall survival (OS) and progression-free survival (PFS) and recurrence-free survival (RF) in lung cancer patients. This meta-analysis includes 16 studies with a total of 5337 patients, indicating a significant association between higher CAR and poorer OS, PFS, and RFS in lung cancer patients, with a pooled HR of 1.78 (95% CI = 1.60-1.99), 1.57 (95% CI = 1.36-1.80), and 1.97 (95% CI = 1.40-2.77), respectively. This updated meta-analysis provides evidence for the potential prognostic role of CAR in lung cancer, suggesting its utility as an effective and noninvasive biomarker for identifying high-risk patients and informing treatment decisions in a cost-effective manner. However, further large-scale studies will be necessary to establish the optimal cut-off value for CAR in lung cancer and confirm the present findings.

Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer

BackgroundMicroRNAs (miRNAs) of plasma-derived small extracellular vesicles (sEVs) have been proven to be associated with metastasis in several types of cancer. This study aimed to detect miRNAs of plasma-derived sEVs as potential biomarkers for metastatic non-small cell lung cancer (NSCLC).MethodsWe assessed the miRNA profiles of plasma-derived sEVs from healthy individuals as the control group (CT group), NSCLC patients without distant organ metastasis as the NM-NSCLC group and patients with distant organ metastasis as the M-NSCLC group. Next-generation sequencing (NGS) was performed on samples, and differentially expressed miRNAs (DEMs) of the three groups were screened. Kyoto Encyclopedia of Genes and Genomes (KEGG) and ClueGO were used to predict potential pathways of DEMs. MiRNA enrichment analysis and annotation tool (miEAA) was used to understand changes in the tumour microenvironment in NSCLC. Quantitative reverse transcription polymerase chain reaction (qRT‒PCR) analysis was used to validate target miRNAs.ResultNGS was performed on 38 samples of miRNAs of plasma-derived sEVs, and DEMs were screened out between the above three groups. Regarding the distribution of DEMs in the NM-NSCLC and M-NSCLC groups, KEGG pathway analysis showed enrichment in focal adhesion and gap junctions and ClueGO in the Rap1 and Hippo signaling pathways; miEAA found that fibroblasts were over-represented. From our screening, miRNA-200c-3p and miRNA-4429 were found to be predictive DEMs among the CT, NM-NSCLC and M-NSCLC groups, and qRT‒PCR was applied to verify the results. Finally, it was revealed that expression levels of miR-200c-3p and miR-4429 were significantly upregulated in M-NSCLC patients.ConclusionThis study identified miRNA-200c-3p and miRNA-4429 as potential biomarkers for NSCLC metastasis.

Identification of ALX3 Gene Promoter Hypermethylation as a Potential Biomarker for Lung Cancer.

Recent studies imply the significance of promoter CpG methylation as a biomarker for various cancer types in different genes. ALX3 is one of the candidate genes with prominent promoter methylation status change. In this study, the methylation status of ALX3 gene promoter and its expression was analyzed in lung cancer cell lines and clinical samples from The Cancer Genome Atlas Program (TCGA) program. Methylation status was screened using the COBRA Assay, and gene expression in two cancer (A549 & H1299) and one normal (Beas 2B) lung cell lines was determined using RT-PCR. ALX3 gene promoter was found to be hypermethylated in both lung cancer cell lines compared to normal cells. However, no difference in the expression of this gene was observed. In addition to our in vitro findings, DNA Methylation and RNA-seq data of 413 adenocarcinoma samples from TCGA-LUAD dataset were analyzed. ALX3 gene was found to be hypermethylated in tumor compared to normal samples. Interestingly, the expression level of ALX3 gene in tumors was found to be higher than that in normal samples. ALX3 gene promoter hypermethylation could serve as a biomarker in lung cancer.

BCL11A Expression in Non-Small Cell Lung Cancers.

B-cell leukemia/lymphoma 11A (BCL11A) may be one of the potential biomarkers of non-small cell lung cancer (NSCLC). However, its role in the development of this cancer has not yet been precisely established. The aim of this study was to investigate the expression of BCL11A at the mRNA and protein levels in NSCLC cases and non-malignant lung tissue (NMLT) and to determine the relationship between BCL11A expression and the clinicopathological factors and Ki-67, Slug, Snail and Twist. The localization and the level of BCL11A protein were examined using immunohistochemistry (IHC) on 259 cases of NSCLC, and 116 NMLT samples were prepared as tissue microarrays and using immunofluorescence (IF) in the following cell lines: NCI-H1703, A549 and IMR-90. The mRNA expression of BCL11A was determined using real-time PCR in 33 NSCLC cases, 10 NMLT samples and the cell lines. BCL11A protein expression was significantly higher in NSCLC cases compared to NMLT. Nuclear expression was found in lung squamous cell carcinoma (SCC) cells, while cytoplasmic expression was demonstrated in adenocarcinoma (AC) cells. Nuclear expression of BCL11A decreased with increasing malignancy grade and correlated positively with Ki-67 and Slug and Twist expression. The opposite relationships were found for the cytoplasmic expression of BCL11A. Nuclear expression of BCL11A in NSCLC cells may affect tumor cell proliferation and change their phenotype, thus promoting tumor progression.

Lung cancer metabolomics: A pooled analysis in the cancer prevention studies.

10508 Background: Lung cancer is a heterogeneous disease, often diagnosed at advanced stages, with low overall survival rate. To better understand the lung cancer etiology and discover screening and early detection biomarkers, we performed a nested case-control study to examine the metabolic perturbation related to lung cancer. Methods: This study included 741 case-control pairs (mean age = 67 years) from the ongoing Cancer Prevention Study (CPS) cohorts. Participants completed a comprehensive exposure and health questionnaire at enrollment. Pre-diagnosis blood samples were collected between 1998-2001 in CPS-II and 2006-2013 in CPS-3. Cases and controls were 1:1 matched on date of birth, blood draw date, gender, and race/ethnicity. All eligible controls were cancer-free at the time of case diagnosis. Odds ratios (ORs) per standard deviation and 95% confidence intervals (CIs) were estimated using conditional logistic regression, controlling for potential confounders including body mass index, fruit and vegetable consumption, smoking status, and hormone use. We further performed stratified analyses by smoking status (never/former/current) and follow-up time (i.e., within 3 years/ beyond 3 years between blood draw and diagnosis). Statistical significance was determined as false discovery rate (FDR) &lt; 0.2. Results: Sphingomyelin (d18:0/22:0), a bioactive sphingolipid of cell membranes, was associated with lung cancer risk (OR:1.32, 95% CI: [1.15, 1.53], FDR = 0.12). When stratified by follow-up time, participants diagnosed within 3 years of blood draw had a 59% higher risk of lung cancer per standard deviation increase in sphingomyelin (d18:0/22:0) (OR:1.58, 95% CI: 1.16, 2.15, p = 0.004) and 25% higher risk for those diagnosed beyond 3 years (OR:1.27, 95% CI: 1.08, 1.50, p = 0.005). Metabolites associated with lung cancer at raw p-value &lt; 0.05 indicated the perturbation mostly in lipid, amino acid, and xenobiotics metabolism. We observed variants in perturbed metabolic pathways between never-smoker lung cancer cases and current-smoker lung cancer cases. Conclusions: This is the largest prospective study examining lung cancer risk and metabolic response using an untargeted metabolomics platform. These findings provide preliminary support for sphingomyelin (d18:0/22:0) as a potential screening and early detection biomarker for lung cancer. Results also highlight that lipid metabolism including sphingolipid and bile acid metabolism may play an important role in lung cancer etiology.

Metal Oxide Semiconductor Gas Sensors for Lung Cancer Diagnosis

Lung cancer is the most prevalent severe illness in both sexes and all ages and the leading cause of cancer-related deaths globally. Late-stage diagnosis is the primary cause of its high mortality rate. Therefore, the management of lung cancer needs early-stage screening. Breath analysis is a non-invasive, low-cost, and user-friendly approach to diagnosing lung cancer. Among the various types of breath sensors, MOS gas sensors are preferred due to their high gas responses, fast response times, robustness, and lower price. This review focuses on the critical role of MOS gas sensors in detecting VOCs in lung cancer patients’ exhaled breath. It introduces the basic working mechanism of MOS gas-sensitive materials, summarizes some high-performance MOS materials suitable for detecting potential lung cancer biomarkers and provides performance enhancement strategies. The review also briefly introduces the sensor array and its pattern recognition algorithm. Finally, we discuss the challenges in developing MOS gas sensors for lung cancer screening and present the prospect of using the e-nose for large-scale early lung cancer screening.

Identification and Validation of Cyclin A2 and Cyclin E2 as Potential Biomarkers in Small Cell Lung Cancer

Introduction: Small cell lung cancer (SCLC) is a special type of lung cancer sensitive to radiotherapy and chemotherapy but is prone to drug resistance and recurrence and has a very poor prognosis. This study aimed to explore the potential biomarkers and therapeutic targets for SCLC. Methods: After batch normalization of GSE40275, GSE1037, and GSE44447 datasets, R was used to screen SCLC’s differentially expressed genes (DEGs) and hub genes. We used immunohistochemistry (IHC) to assess the tissue’s expression level of the hub gene. The clinical value of the hub gene was further evaluated based on the collected clinical-pathological data. Results: In this study, a total of 230 DEGs (133 upregulated and 97 downregulated) were screened by the R package. The IHC showed that the expression of CCNA2 and CCNE2 in SCLC tissues was significantly higher than that in normal tissues (p < 0.01). Overexpression of CCNA2 was closely associated with the extensive period of NCCN (p = 0.004), tumor position (p = 0.046), and clinical stage (p = 0.002). The high expression levels of CCNE2 were related to high survival in chemotherapy patients (p = 0.019). Conclusion: CCNA2 and CCNE2 may serve as potential biomarkers of diagnosis and treatment for SCLC.

SPP1, a potential therapeutic target and biomarker for lung cancer: functional insights through computational studies

NIH reported 128 different types of cancer of which lung cancer is the leading cause of mortality. Globally, it is estimated that on average one in every seventeen hospitalized patients was deceased. There are plenty of studies that have been reported on lung cancer draggability and therapeutics, but yet a protein that plays a central specific to cure the disease remains unclear. So, this study is designed to identify the possible therapeutic targets and biomarkers that can be used for the potential treatment of lung cancers. In order to identify differentially expressed genes, 39 microarray datasets of lung cancer patients were obtained from various demographic regions of the GEO database available at NCBI. After annotating statistically, 6229 up-regulated genes and 10324 down-regulated genes were found. Out of 17 up-regulated genes and significant genes, we selected SPP1 (osteopontin) through virtual screening studies. We found functional interactions with the other cancer-associated genes such as VEGF, FGA, JUN, EGFR, and TGFB1. For the virtual screening studies,198 biological compounds were retrieved from the ACNPD database and docked with SPP1 protein (PDBID: 3DSF). In the results, two highly potential compounds secoisolariciresinol diglucoside (-12.9 kcal/mol), and Hesperidin (-12.0 kcal/mol) showed the highest binding affinity. The stability of the complex was accessed by 100 ns simulation in an SPC water model. From the functional insights obtained through these computational studies, we report that SPP1 could be a potential biomarker and successive therapeutic protein target for lung cancer treatment.

Abstract 3319: Breath-based detection of lung cancer using exogenous volatile organic compound targeting β-glucuronidase in the tumor microenvironment

Abstract Introduction: Numerous studies have sought potential breath biomarkers for lung cancer and many have promising results but, to date, no validated biomarkers with clear connections to cancer metabolism have been discovered. We aim to show the feasibility of an Exogenous Volatile Organic Compounds (EVOC®) Probe targeting tumor-associated extracellular β-glucuronidase, a glycosidase enzyme that usually resides intracellularly within lysosomes in healthy tissues. Material and Methods: To further assess the suitability of β-glucuronidase as a target for a non-invasive breath test, the enzyme activity was evaluated by enzymatic assay in lung cancer PDX specimens and healthy tissues. In addition, β-glucuronidase was assessed by immunostaining a large panel of primary lung cancers, lymph node metastasis and normal lung tissue, including from smokers and those with chronic obstructive pulmonary disease (COPD). We developed a hydrophilic non-cell permeable substrate probe, D5-ethyl-βD-glucuronide (D5-EtGlu), that upon hydrolysis by the target enzyme releases D5-ethanol, a unique volatile reporter molecule. This provides a readout of tumour-associated enzyme activity using breath analysis. Administering D5-EtGlu to mice resulted in tumour-specific release of D5-Ethanol enabling discrimination between healthy and tumour-bearing animals. D5-EtGlu has been administered intravenously to healthy and lung cancer patients followed by breath analysis. A phase 1a clinical trial administered D5-EtGlu to 21 healthy individuals in a single ascending dose study to establish safety and background D5-ethanol levels in healthy individuals. The phase 1b trial is a proof of mechanism study in humans, in which D5-ethanol breath levels in lung cancer patients will be compared to cancer-free individuals receiving the same D5-EtGlu dose. Results and Discussions: Using ex-vivo specimens, higher β-glucuronidase activity was detected in washouts of PDX specimens compared with healthy tissue samples from mice. Higher β-glucuronidase intracellular and extracellular expression was observed in lung cancers compared with lung normal tissue, with low to moderate expression intracellularly in bronchial tissue and in emphysema and COPD. These results reinforce the presence of β-glucuronidase in the tumour microenvironment and its suitability as a target for a breath-probe. A phase 1a resulted in no adverse events and low/no D5-ethanol signal verifying the inaccessibility of D5-EtGlu to intracellular β-glucuronidase. In the phase 1b study, using the highest probe dose, we have detected a D5-ethanol signal in the majority of the cancer patients. Conclusion: β-glucuronidase can be targeted by the non-cell permeable substrate probe D5-ethyl-βD-glucuronide (D5-EtGlu) with potential to be used as a non-invasive breath test for lung cancer diagnosis including a role in screening. Citation Format: Christiaan Labuschagne, Rob Smith, Neelam Kumar, Max Allsworth, Billy Boyle, Sam Janes, Philip Crosbie, Robert Rintoul. Breath-based detection of lung cancer using exogenous volatile organic compound targeting β-glucuronidase in the tumor microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3319.

Abstract 3025: A pooled analysis of lung cancer metabolomics in the Cancer Prevention Studies revealing sphingomyelin (d18:0/22:0) as a potential screening biomarker

Abstract Background and Purpose: Lung cancer is a heterogeneous disease, often diagnosed at advanced stages, with low overall survival rate. To better understand the lung cancer etiology and discover screening and early detection biomarkers, we performed a nested case-control study to examine the metabolic perturbation related to lung cancer. Methods: This study included 741 case-control pairs (mean age = 67 years) from the ongoing Cancer Prevention Study (CPS) cohorts. Participants completed a comprehensive exposure and health questionnaire at enrollment. Pre-diagnosis blood samples were collected between 1998-2001 in CPS-II and 2006-2013 in CPS-3. Cases and controls were 1:1 matched on date of birth, blood draw date, gender, and race/ethnicity. All eligible controls were cancer-free at the time of case diagnosis. Odds ratios (ORs) per standard deviation and 95% confidence intervals (CIs) were estimated using conditional logistic regression, controlling for potential confounders including body mass index, fruit and vegetable consumption, smoking status, and hormone use. We further performed stratified analyses by smoking status (never/former/current) and follow-up time (i.e., within 3 years/beyond 3 years between blood draw and diagnosis). Statistical significance was determined as false discovery rate (FDR) &amp;lt; 0.2. Results: Sphingomyelin (d18:0/22:0), a bioactive sphingolipid of cell membranes, was associated with lung cancer risk (OR:1.31, 95% CI: 1.14, 1.51, FDR= 0.18). When stratified by follow-up time, participants diagnosed within 3 years of blood draw had 59% higher risk of lung cancer per standard deviation increase in sphingomyelin (d18:0/22:0) (OR: 1.59, 95% CI: 1.16, 2.16, p = 0.004) and 25% higher risk for those diagnosed beyond 3 years (OR: 1.25, 95% CI: 1.06, 1.47, p = 0.008). Metabolites associated with lung cancer at raw p-value &amp;lt; 0.05 indicated the perturbation mostly in lipid, amino acid, and xenobiotics metabolism. Among lung cancer cases who were never smokers, the extent of lipid and amino acid perturbation appeared to be similar, while among lung cancer cases who were current smokers, lipid metabolism tended to be more prominent. Conclusion: This is the largest prospective study examining lung cancer risk and metabolic response using an untargeted metabolomics platform. These findings provide preliminary support for sphingomyelin (d18:0/22:0) as a potential screening and early detection biomarker for lung cancer. Results also highlight lipid metabolism including sphingolipid and bile acid metabolism may also play an important role in lung cancer etiology. Citation Format: Ziyin Tang, Donghai Liang, Emily L. Deubler, Jeremy A. Sarnat, Sabrina Chow, W.Ryan Diver, Ying Wang. A pooled analysis of lung cancer metabolomics in the Cancer Prevention Studies revealing sphingomyelin (d18:0/22:0) as a potential screening biomarker [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3025.

Differentiation-related genes in tumor-associated macrophages as potential prognostic biomarkers in non-small cell lung cancer.

The purpose of this study was to evaluate the role of differentiation-related genes (DRGs) in tumor-associated macrophages (TAMs) in non-small cell lung cancer (NSCLC). Single cell RNA-seq (scRNA-seq) data from GEO and bulk RNA-seq data from TCGA were analyzed to identify DRGs using trajectory method. Functional gene analysis was carried out by GO/KEGG enrichment analysis. The mRNA and protein expression in human tissue were analyzed by HPA and GEPIA databases. To investigate the prognostic value of these genes, three risk score (RS) models in different pathological types of NSCLC were generated and predicted NSCLC prognosis in datasets from TCGA, UCSC and GEO databases. 1,738 DRGs were identified through trajectory analysis. GO/KEGG analysis showed that these genes were predominantly related to myeloid leukocyte activation and leukocyte migration. 13 DRGs (C1QB, CCL4, CD14, CD84, FGL2, MS4A6A, NLRP3, PLEK, RNASE6, SAMSN1, SPN, TMEM176B, ZEB2) related to prognosis were obtained through univariate Cox analysis and Lasso regression. C1QB, CD84, FGL2, MS4A6A, NLRP3, PLEK, SAMSN1, SPN, and ZEB2 were downregulated in NSCLC compared to non-cancer tissue. The mRNA of 13 genes were significantly expressed in pulmonary macrophages with strong cell specificity. Meanwhile, immunohistochemical staining showed that C1QB, CCL4, SPN, CD14, NLRP3, SAMSN1, MS4A6A, TMEM176B were expressed in different degrees in lung cancer tissues. ZEB2 (HR=1.4, P<0.05) and CD14 (HR=1.6, P<0.05) expression were associated with a worse prognosis in lung squamous cell carcinoma; ZEB2 (HR=0.64, P<0.05), CD84 (HR=0.65, P<0.05), PLEK (HR=0.71, P<0.05) and FGL2 (HR=0.61, P<0.05) expression were associated with a better prognosis in lung adenocarcinoma. Three RS models based on 13 DRGs both showed that the high RS was significantly associated with poor prognosis in different pathological types of NSCLC. This study highlights the prognostic value of DRGs in TAMs in NSCLC patients, providing novel insights for the development of therapeutic and prognostic targets based on TAM functional differences.

S-adenosylhomocysteine hydrolase-like protein 1 (AHCYL1) inhibits lung cancer tumorigenesis by regulating cell plasticity

BackgroundLung cancer is one of the most frequently diagnosed cancers characterized by high mortality, metastatic potential, and recurrence. Deregulated gene expression of lung cancer, likewise in many other solid tumors, accounts for their cell heterogeneity and plasticity. S-adenosylhomocysteine hydrolase-like protein 1 (AHCYL1), also known as Inositol triphosphate (IP(3)) receptor-binding protein released with IP(3) (IRBIT), plays roles in many cellular functions, including autophagy and apoptosis but AHCYL1 role in lung cancer is largely unknown.ResultsHere, we analyzed the expression of AHCYL1 in Non-Small Cell Lung Cancer (NSCLC) cells from RNA-seq public data and surgical specimens, which revealed that AHCYL1 expression is downregulated in tumors and inverse correlated to proliferation marker Ki67 and the stemness signature expression. AHCYL1-silenced NSCLC cells showed enhanced stem-like properties in vitro, which correlated with higher expression levels of stem markers POU5F1 and CD133. Also, the lack of AHCYL1 enhanced tumorigenicity and angiogenesis in mouse xenograft models highlighting stemness features.ConclusionsThese findings indicate that AHCYL1 is a negative regulator in NSCLC tumorigenesis by modulating cell differentiation state and highlighting AHCYL1 as a potential prognostic biomarker for lung cancer.

CKAP4 is a potential exosomal biomarker and therapeutic target for lung cancer.

Globally, lung cancer causes the most cancer death. While molecular therapy progress, including epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs), has provided remarkable therapeutic effects, some patients remain resistant to these therapies and therefore new target development is required. Cytoskeleton-associated membrane protein 4 (CKAP4) is a receptor of the secretory protein Dickkopf-1 (DKK1) and the binding of DKK1 to CKAP4 promotes tumor growth via Ak strain transforming (AKT) activation. We investigated if CKAP4 functions as a diagnostic biomarker and molecular therapeutic target for lung cancer. CKAP4 secretion with exosomes from lung cancer cells and the effect of CKAP4 palmitoylation on its trafficking to the exosomes were examined. Serum CKAP4 levels were measured in mouse xenograft models, and 92 lung cancer patients and age- and sex-matched healthy controls (HCs). The lung cancer tissues were immunohistochemically stained for DKK1 and CKAP4, and their correlation with prognosis and serum CKAP4 levels were investigated. Roles of CKAP4 in the lung cancer cell proliferation were examined, and the effects of the combination of an anti-CKAP4 antibody and osimertinib, a third generation TKI, on anti-tumor activity were tested using in vitro and in vivo experiments. CKAP4 was released from lung cancer cells with exosomes, and its trafficking to exosomes was regulated by palmitoylation. CKAP4 was detected in sera from mice inoculated with lung cancer cells overexpressing CKAP4. In 92 lung cancer patients, positive DKK1 and CKAP4 expression patients showed worse prognoses. Serum CKAP4 positivity was higher in lung cancer patients than in HCs. After surgical operation, serum CKAP4 levels were decreased. CKAP4 overexpression in lung cancer cells promoted in vitro cell proliferation and in vivo subcutaneous tumor growth, which were inhibited by an anti-CKAP4 antibody. Moreover, treatment with this antibody or osimertinib, a third generation TKI, inhibited AKT activity, sphere formation, and xenograft tumor growth in lung cancer cells harboring EGFR mutations and expressing both DKK1 and CKAP4, while their combination showed stronger inhibition. CKAP4 may represent a novel biomarker and molecular target for lung cancer, and combination therapy with an anti-CKAP4 antibody and osimertinib could provide a new lung cancer therapeutic strategy.

Overview of Adductomics in Toxicology.

Adductomics is epidemiology at the molecular level. Untargeted adductomics compares levels of chemical adducts on albumin, hemoglobin, and DNA between healthy and exposed individuals. The goal is to determine a cause-and-effect relationship between chemical exposure and illness. Chemical exposures are not necessarily due to synthetic chemicals but are often due to oxidation products of naturally occurring lipids, for example, 4-hydroxynonenal and acrolein produced by lipid peroxidation of arachidonic and linoleic acids. The preferred method used in adductomics is ultra-high pressure liquid chromatography coupled to with nanoelectrospray tandem mass spectrometry. The mass of the adduct indicates its structure and identifies the chemical. The advantages of molecular epidemiology include information about the many toxicants to which a person is exposed over a period of weeks or months and the relative exposure levels. The disadvantage is the absence of information about the mechanism of toxicity. Untargeted adductomics examines albumin and hemoglobin adducts, which serve as biomarkers of exposure but do not identify the proteins and genes responsible for the toxicity. Targeted adductomics is used when the origin of the toxicity is known. This can be either an adducted protein, such as the butyrylcholinesterase protein modified by nerve agents, or a toxicant, such as acetaminophen. Untargeted adductomics methods have identified potential protein adduct biomarkers of breast cancer, colorectal cancer, childhood leukemia, and lung cancer. Adductomics is a new research area that offers structural insights into chemical exposures and a platform for the discovery of disease biomarkers. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.