Global Epidemiology of Lung Cancer

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

Background

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).

Methods

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.

Results

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.

Conclusions

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.

BioMOF-Based Anti-Cancer Drug Delivery Systems

A variety of nanomaterials have been developed specifically for biomedical applications, such as drug delivery in cancer treatment. These materials involve both synthetic and natural nanoparticles and nanofibers of varying dimensions. The efficacy of a drug delivery system (DDS) depends on its biocompatibility, intrinsic high surface area, high interconnected porosity, and chemical functionality. Recent advances in metal-organic framework (MOF) nanostructures have led to the achievement of these desirable features. MOFs consist of metal ions and organic linkers that are assembled in different geometries and can be produced in 0, 1, 2, or 3 dimensions. The defining features of MOFs are their outstanding surface area, interconnected porosity, and variable chemical functionality, which enable an endless range of modalities for loading drugs into their hierarchical structures. MOFs, coupled with biocompatibility requisites, are now regarded as highly successful DDSs for the treatment of diverse diseases. This review aims to present the development and applications of DDSs based on chemically-functionalized MOF nanostructures in the context of cancer treatment. A concise overview of the structure, synthesis, and mode of action of MOF-DDS is provided.

Patterns of care and survival for lung cancer: Results of the European population-based high-resolution study

Objectives

To investigate differences in lung cancer (LC) management and survival using data from European population cancer registries.

Methods

We analysed 4,602 lung cancer cases diagnosed in 2010-2013, followed-up to 2019 in five countries. Multivariable logistic regression was used to calculate the Odds Ratio (OR) of surgery for stages I-II LC or chemo- or radiotherapy for stages III-IV LC. Relative survival (RS) was estimated by the actuarial method; Relative Excess Risk of death (RER), with 95% CI, was calculated by generalized linear models.

Results

Diagnostic work-up was extensive for 65.9% patients (range 57%, Estonia, Portugal - 85% (Belgium). Sixty-six percent of stages I-II patients underwent surgery; compared to non-operated, their adjusted OR decreased with age and was associated with main bronchus cancer (OR vs. lobes 0.25, CI, 0.08-0.82), stage II (OR vs. stage I: 0.42, CI, 0.29-0.60), comorbidity (OR vs. absent: 0.55, CI, 0.33-0.93), country (ORs: Estonia 1.82, CI, 1.28-2.60; Belgium 0.62, CI, 0.42-0.91; Portugal 0.69, CI, 0.52-0.93).Almost half of stages III-IV patients received chemo- or radiotherapy only; the adjusted OR vs. non receiving decreased with age and was associated with unspecified cancer topography or morphology. The adjusted five-year RER increased with age and stage and was lower for women (0.78, CI, 0.72-0.86), above the reference for main bronchus cancer (1.37, CI, 1.21-1.54) and unspecified morphology (1.17, CI, 1.05-1.30). Surgery carried the lowest mortality (RS 56.9; RER 0.13, CI, 0.11-0.15) with RER above the mean in Estonia (1.20, CI, 1.10-1.30), below it in Portugal (0.88, CI, 0.82-0.93) and Switzerland (0.91, CI, 0.84-0.99). Comorbidity (1.21, CI, 1.09-1.35) and not smoking (0.68, CI, 0.57-0.81) were associated with RER.

Conclusions

The survival benefit of early diagnosis, allowing curative surgery, was evident at the population level. Screening for subjects at risk and adhesion to standard care should be incremented across the EU by funding better equipment and training health personnel.

Long non-coding RNA TDRG1 aggravates lung cancer stemness by binding to Sox2 mRNA

The roles of long non-coding RNA TDRG1 have been revealed in several tumors, especially its roles in CSC progression have been recently elucidated; However, its effects in lung CSC progression have not been revealed. In the present study, we collected 3D non-adherent spheres as the CSC model to measure lncRNA TDRG1 level in lung CSC and the parental lung cancer cells, and found that TDRG1 level was significantly upregulated in lung CSCs compared to that of parental lung cancer cells. Then we constructed the lung CSCs with or without TDRG1 stable knockdown and lung cancer cells with or without TDRG1 stable overexpression. It was found that TDRG1 positively regulated lung cancer stemness. Mechanistically, we identified that TDRG1 directly bound to Sox2 mRNA, which is a critical stemness regulator, enhanced its mRNA stability, and thus increased Sox2 expression. Indeed, we demonstrated that TDRG1 aggravated lung cancer stemness dependent on Sox2 expression. Thus, this study suggests that TDRG1 is a critical stemness promoter of lung cancer cells by acting as a stabilizer for Sox2 mRNA.

Clonal Hematopoiesis and Risk of Incident Lung Cancer

PURPOSE

To prospectively examine the association between clonal hematopoiesis (CH) and subsequent risk of lung cancer.

METHODS

Among 200,629 UK Biobank (UKBB) participants with whole-exome sequencing, CH was identified in a nested case-control study of 832 incident lung cancer cases and 3,951 controls (2006-2019) matched on age and year at blood draw, sex, race, and smoking status. A similar nested case-control study (141 cases/652 controls) was conducted among 27,975 participants with whole-exome sequencing in the Mass General Brigham Biobank (MGBB, 2010-2021). In parallel, we compared CH frequency in published data from 5,003 patients with solid tumor (2,279 lung cancer) who had pretreatment blood sequencing performed through Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets.

RESULTS

In UKBB, the presence of CH was associated with increased risk of lung cancer (cases: 12.5% v controls: 8.7%; multivariable-adjusted odds ratio [OR], 1.36; 95% CI, 1.06 to 1.74). The association remained robust after excluding participants with chronic obstructive pulmonary disease. No significant interactions with known risk factors, including polygenic risk score and C-reactive protein, were identified. In MGBB, we observed similar enrichment of CH in lung cancer (cases: 15.6% v controls: 12.7%). The meta-analyzed OR (95% CI) of UKBB and MGBB was 1.35 (1.08 to 1.68) for CH overall and 1.61 (1.19 to 2.18) for variant allele frequencies ≥ 10%. In Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets, CH with a variant allele frequency ≥ 10% was enriched in pretreatment lung cancer compared with other tumors after adjusting for age, sex, and smoking (OR for lung v breast cancer: 1.61; 95% CI, 1.03 to 2.53).

CONCLUSION

Independent of known risk factors, CH is associated with increased risk of lung cancer.

Computed Tomography Features and Tumor Spread Through Air Spaces in Lung Adenocarcinoma: A Meta-analysis

To compare computed tomography (CT)-based radiologic features in patients, who are diagnosed with lung adenocarcinoma with the pathologically detected spread of tumor cells through air spaces (STAS positive [STAS+]) and those with no STAS. PubMed, Embase, and Scopus databases were systematically searched for observational studies (either retrospective or prospective) of patients with lung adenocarcinoma that had compared CT-based features between STAS+ and STAS-negative cases (STAS-). The pooled effect sizes were reported as odds ratio (OR) and weighted mean difference (WMD). STATA software was used for statistical analysis. The meta-analysis included 10 studies. Compared with STAS-, STAS+ adenocarcinoma was associated with increased odds of solid nodule (OR: 3.30, 95% CI: 2.52, 4.31), spiculation (OR: 2.05, 95% CI: 1.36, 3.08), presence of cavitation (OR: 1.49, 95% CI: 1.00, 2.22), presence of clear boundary (OR: 3.01, 95% CI: 1.70, 5.32), lobulation (OR: 1.65, 95% CI: 1.11, 2.47), and pleural indentation (OR: 1.98, 95% CI: 1.41, 2.77). STAS+ tumors had significant association with the presence of pulmonary vessel convergence (OR: 2.15, 95% CI: 1.61, 2.87), mediastinal lymphadenopathy (OR: 2.06, 95% CI: 1.20, 3.56), and pleural thickening (OR: 2.58, 95% CI: 1.73, 3.84). The mean nodule diameter (mm) (WMD: 6.19, 95% CI: 3.71, 8.66) and the mean solid component (%) (WMD: 24.5, 95% CI: 10.5, 38.6) were higher in STAS+ tumors, compared with STAS- ones. The findings suggest a significant association of certain CT-based features with the presence of STAS in patients with lung adenocarcinoma. These features may be important in influencing the nature of surgical management.

The beginning of a new era in induction treatment for operable non-small cell lung cancer: a narrative review

Background and Objective

The survival benefit of induction therapy for non-small cell lung cancer (NSCLC) remains controversial. Recently, the outcomes of systemic therapy for NSCLC have dramatically changed with the advent of molecular target drugs and immune checkpoint inhibitors (ICIs). The present review was conducted to investigate the outcomes of induction therapy with reference to randomized control trials (RCTs).

Methods

We reviewed RCTs and ongoing clinical trials between 1990 and 2022 using relevant databases: PubMed, Web of Science, and EMBASE database. We investigated the outcomes of induction therapy.

Key Content and Findings

Induction therapy was associated with longer overall survival in comparison to surgery alone in several RCTs for stage III disease. However, its benefit in early-stage (I-II) disease was unclear. Regarding induction chemotherapy and chemoradiotherapy, the safety and survival outcomes did not differ between the two arms. Epidermoid growth factor receptor (EGFR) tyrosine kinase inhibitors as induction therapy in patients with proven EGFR mutations may be a sufficient choice for the improvement of overall survival. In ongoing single arm clinical trials and a randomized control study, the administration of ICIs as induction therapy was associated with a good pathological response and satisfactory safety, which will lead to a better survival outcome. Long-term observation is needed to evaluate the toxicity and survival impact of induction therapy with ICIs.

Conclusions

Induction chemotherapy and EGFR-TKIs for stage IIIA NSCLC may contribute to the improvement of survival outcomes although the effect of systemic therapy on stage I-II remains controversial. ICIs may be considered as a valuable treatment option because of their feasibility and safety for induction therapy.

Pembrolizumab plus pemetrexed-carboplatin combination in first-line treatment of advanced non-squamous non-small cell lung cancer: a multicenter real-life study (CAP29)

Background

Pembrolizumab combined with chemotherapy is now first-line standard of care in advanced non-small cell lung cancer. This real-life study aimed to assess efficacy and safety of carboplatin-pemetrexed plus pembrolizumab in advanced non-squamous non-small cell lung cancer.

Methods

CAP29 is a retrospective, observational, multicenter real-life study conducted in 6 French centers. We evaluated efficacy of first-line setting chemotherapy plus pembrolizumab (November 2019 to September 2020) in advanced (stage III-IV) non-squamous non-small cell lung cancer patients without targetable alterations. Primary endpoint was progression-free survival. Secondary endpoints were overall survival, objective response rate and safety.

Results

With a median follow-up of 4.5 months (0 to 22 months), a total of 121 patients were included. Baseline characteristics were: median age of 59.8 years with 7.4% ≥75 years, 58.7% of males, 91.8% PS 0-1, 87.6% of stage IV with ≥3 metastatic sites in 62% of cases. Patients had brain and liver metastases in 24% and 15.7% of cases, respectively. PD-L1 was <1% (44.6%), 1-49% (28.1%) and ≥50% (21.5%). Median progression-free survival and overall survival achieved 9 and 20.6 months, respectively. Objective response rate was 63.7% with 7 prolonged complete responses. Survival benefit seemed to be correlated with PD-L1 expression. Brain and liver metastases were not statistically associated with decreased overall survival. Most common adverse events were asthenia (76%), anemia (61.2%), nausea (53.7%), decreased appetite (37.2%) and liver cytolysis (34.7%). Renal and hepatic disorders were the main causes of pemetrexed discontinuation. Grade 3-4 adverse events concerned 17.5% of patients. Two treatment-related deaths were reported.

Conclusions

First-line pembrolizumab plus chemotherapy confirmed real-life efficacy for patients with advanced non-squamous non-small cell lung cancer. With median progression-free survival and overall survival of 9.0 and 20.6 months, respectively and no new safety signal, our real-life data are very close to results provided by clinical trials, confirming the benefit and the manageable toxicity profile of this combination.

Interaction between Occupational and Non-Occupational Arsenic Exposure and Tobacco Smoke on Lung Cancerogenesis: A Systematic Review

Although a higher lung cancer risk has been already associated with arsenic exposure, the contribution of arsenic and its compounds to the carcinogenic effects of other agents, such as tobacco smoke, is not well characterized. This systematic review examined the relationship between occupational and non-occupational arsenic exposure and tobacco smoking on lung cancer risk using papers published from 2010 to 2022. Two databases, PUBMED and Scifinder, were used for the searches. Among the sixteen human studies included, four were about occupational exposure, and the others were about arsenic in drinking water. Furthermore, only three case-control studies and two cohort studies evaluated an additive or multiplicative interaction. The interaction between arsenic exposure and tobacco smoke seems to be negligible at low arsenic concentrations (<100 μg/L), while there is a synergistic effect at higher concentrations. Finally, it is not yet possible to assess whether a linear no-threshold (LNT) model for lung cancer risk can be applied to the co-exposure to arsenic and tobacco smoke. Although the methodological quality of the included studies is good, these findings suggest that rigorous and accurate prospective studies on this topic are highly needed.

Economic burden of locoregional and metastatic relapses in resectable early-stage non-small cell lung cancer in Spain

BACKGROUND

There are scarce data of the costs of non-small cell lung cancer (NSCLC) recurrence in Spain. The objective of this study is to assess the economic burden of disease recurrence, for both locoregional and/or metastatic relapses, after appropriate early-stage NSCLC treatment in Spain.

MATERIALS AND METHODS

A two-round consensus panel of Spanish oncologists and hospital pharmacists was conducted to collect information on patient's flow, treatments, use of healthcare resources and sick leaves in patients with relapsed NSCLC. A decision-tree model was developed to calculate the economic burden of disease recurrence after appropriate early-stage NSCLC. Both direct and indirect costs were considered. Direct costs included drug acquisition and healthcare resources costs. Indirect costs were estimated using the human-capital approach. Unit costs were obtained from national databases (euros of 2022). A multi-way sensitivity analysis was performed to provide a range to the mean values.

RESULTS

Among a cohort of 100 patients with relapsed NSCLC, 45 patients would have locoregional relapse (36.3 would eventually progress to metastasis and 8.7 would be considered in remission) and 55 patients would have metastatic relapse. Over time, 91.3 patients would experience a metastatic relapse (55 as first relapse and 36.6 after previous locoregional relapse). The overall cost incurred by the 100-patients cohort is €10,095,846 (€9,336,782 direct costs, €795,064 indirect costs). The average cost of a locoregional relapse is €25,194 (€19,658 direct costs, €5536 indirect costs), while the average cost a patient with metastasis who receives up to 4 lines of treatment is €127,167 (€117,328 direct, €9839 indirect).

CONCLUSIONS

To our knowledge, this is the first study that specifically quantifies the cost of relapse in NSCLC in Spain. Our findings shown that the overall cost of a relapse after appropriate treatment of early-stage NSCLC patients is substantial, and it increases considerably in the metastatic relapse setting, mainly due to the high cost and long duration of first-line treatments.

Dihydromyricetin suppresses tumor growth via downregulation of the EGFR/Akt/survivin signaling pathway

Deregulation of epidermal growth factor receptor (EGFR) signaling is frequently observed in non-small cell lung cancer (NSCLC). The present study aimed to determine the impact of dihydromyricetin (DHM) on NSCLC, a natural compound extracted from Ampelopsis grossedentata with various pharmacological activities. Results of the present study demonstrated that DHM may act as a promising antitumor agent for NSCLC therapy, inhibiting the growth of cancer cells in vitro and in vivo. Mechanistically, results of the present study demonstrated that exposure to DHM downregulated the activity of wild-type (WT) and mutant EGFRs (mutations, exon 19 deletion, and L858R/T790M mutation). Moreover, western blot analysis indicated that DHM induced cell apoptosis via suppression of the antiapoptotic protein, survivin. Results of the present study further demonstrated that depletion or activation of EGFR/Akt signaling may regulate survivin expression though modulating ubiquitination. Collectively, these results suggested that DHM may act as a potential EGFR inhibitor, and may provide a novel choice of treatment strategy for patients with NSCLC.

Immunotherapy for Metastatic Non-Small Cell Lung Cancer: Therapeutic Advances and Biomarkers

Immunotherapy has revolutionized the treatment paradigm of non-small cell lung cancer and improved patients' prognosis. Immune checkpoint inhibitors have quickly become standard frontline treatment for metastatic non-oncogene addicted disease, either as a single agent or in combination strategies. However, only a few patients have long-term benefits, and most of them do not respond or develop progressive disease during treatment. Thus, the identification of reliable predictive and prognostic biomarkers remains crucial for patient selection and guiding therapeutic choices. In this review, we provide an overview of the current strategies, highlighting the main clinical challenges and novel potential biomarkers.

Association between Polymorphism of Genes IL-1A, NFKB1, PAR1, TP53, and UCP2 and Susceptibility to Non-Small Cell Lung Cancer in the Brazilian Amazon

Non-small cell lung cancer (NSCLC) accounts for the vast majority of cases of lung neoplasms. It is formed in multiple stages, with interactions between environmental risk factors and individual genetic susceptibility and with genes involved in the immune and inflammatory response paths, cell or genome stability, and metabolism, among others. Our objective was to evaluate the association between five genetic variants (IL-1A, NFKB1, PAR1, TP53, and UCP2) and the development of NSCLC in the Brazilian Amazon. The study included 263 individuals with and without lung cancer. The samples were analyzed for the genetic variants of NFKB1 (rs28362491), PAR1 (rs11267092), TP53 (rs17878362), IL-1A (rs3783553), and UCP2 (INDEL 45-bp), which were genotyped in PCR, followed by an analysis of the fragments, in which we applied a previously developed set of informative ancestral markers. We used a logistic regression model to identify differences in the allele and the genotypic frequencies among individuals and their association with NSCLC. The variables of gender, age, and smoking were controlled in the multivariate analysis to prevent confusion by association. The individuals that were homozygous for the Del/Del of polymorphism NFKB1 (rs28362491) (p = 0.018; OR = 0.332) demonstrate a significant association with NSCLC, which was similar to that observed in the variants of PAR1 (rs11267092) (p = 0.023; OR = 0.471) and TP53 (rs17878362) (p = 0.041; OR = 0.510). Moreover, the individuals with the Ins/Ins genotype of polymorphism IL-1A (rs3783553) demonstrated greater risk for NSCLC (p = 0.033; OR = 2.002), as did the volunteers with the Del/Del of UCP2 (INDEL 45-bp) (p = 0.031; OR = 2.031). The five polymorphisms investigated can contribute towards NSCLC susceptibility in the population of the Brazilian Amazon.

Machine Learning System for Lung Neoplasms Distinguished Based on Scleral Data

Lung cancer remains the most commonly diagnosed cancer and the leading cause of death from cancer. Recent research shows that the human eye can provide useful information about one's health status, but few studies have revealed that the eye's features are associated with the risk of cancer. The aims of this paper are to explore the association between scleral features and lung neoplasms and develop a non-invasive artificial intelligence (AI) method for detecting lung neoplasms based on scleral images. A novel instrument was specially developed to take the reflection-free scleral images. Then, various algorithms and different strategies were applied to find the most effective deep learning algorithm. Ultimately, the detection method based on scleral images and the multi-instance learning (MIL) model was developed to predict benign or malignant lung neoplasms. From March 2017 to January 2019, 3923 subjects were recruited for the experiment. Using the pathological diagnosis of bronchoscopy as the gold standard, 95 participants were enrolled to take scleral image screens, and 950 scleral images were fed to AI analysis. Our non-invasive AI method had an AUC of 0.897 ± 0.041(95% CI), a sensitivity of 0.836 ± 0.048 (95% CI), and a specificity of 0.828 ± 0.095 (95% CI) for distinguishing between benign and malignant lung nodules. This study suggested that scleral features such as blood vessels may be associated with lung cancer, and the non-invasive AI method based on scleral images can assist in lung neoplasm detection. This technique may hold promise for evaluating the risk of lung cancer in an asymptomatic population in areas with a shortage of medical resources and as a cost-effective adjunctive tool for LDCT screening at hospitals.

IncRNA EPB41L4A-AS1 Mitigates the Proliferation of Non-Small-Cell Lung Cancer Cells through the miR-105-5p/GIMAP6 Axis

Non-small-cell lung cancer (NSCLC) is the major subtype of lung cancer, with a series of long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and proteins involved in its pathogenesis. This study sought to investigate the functionality of lncRNA EPB41L4A antisense RNA 1 (lncRNA EPB41L4A-AS1) in the proliferation of NSCLC cells and provide a novel theoretical reference for NSCLC treatment. Levels of lncRNA EPB41L4A-AS1, miR-105-5p, and GTPase, IMAP family member 6 (GIMAP6) in tissues and cells were measured by RT-qPCR and the correlation between lncRNA EPB41L4A-AS1 and clinicopathological characteristics was analyzed. Cell proliferation was evaluated by cell counting kit-8 and colony formation assays. The subcellular localization of lncRNA EPB41L4A-AS1 was analyzed by the subcellular fractionation assay and the binding of miR-105-5p to lncRNA EPB41L4A-AS1 or GIMAP6 was analyzed by dual-luciferase and RNA pull-down assays. Functional rescue experiments were performed to analyze the role of miR-105-5p/GIMAP6 in NSCLC cell proliferation. lncRNA EPB41L4A-AS1 and GIMAP6 were downregulated while miR-105-5p was upregulated in NSCLC tissues and cells. lncRNA EPB41L4A-AS1 was correlated with tumor size and clinical staging and its overexpression reduced NSCLC cell proliferation. lncRNA EPB41L4A-AS1 was negatively correlated with miR-105-5p and positively correlated with GIMAP6 in NSCLC tissues, and lncRNA EPB41L4A-AS1 sponged miR-105-5p to promote GIMAP6 transcription in NSCLC cells. Overexpression of miR-105-5p or knockdown of GIMAP6 reversed the inhibition of lncRNA EPB41L4A-AS1 overexpression on NSCLC cell proliferation. lncRNA EPB41L4A-AS1 was downregulated in NSCLC and mitigated NSCLC cell proliferation through the miR-105-5p/GI-MAP6 axis.

Combination of serum ACSL4 levels and low-dose 256-slice spiral CT exhibits the potential in the early screening of lung cancer

BACKGROUND

The prognosis of lung cancer is related to the stage of the disease at the time of detection, and early diagnosis can prolong survival time. In this prospective observational cohort research, we aimed to analyze the diagnostic performance of the combined application of ACSL4 and low-dose 256-slice spiral computed tomography (CT) to lung cancer.

METHODS

This prospective observational cohort research enrolled a total of 512 patients with pulmonary nodules (PN) who were found with PN by CT. All patients were divided into 2 groups through biopsy operation, including 449 patients with benign PN and 63 patients with malignant PN. Both groups were scanned with a Philips Brilliance 256iCT machine. Imaging features of PN were recorded. All images of the nodules were used for data measurement and image analysis by the Lung Nodule Assessment analysis software. The serum ACSL4, carcinoembryonic antigen (CEA), cytokeratin 19 fragment 21-1 (CYFRA21-1), neuron-specific enolase, carbohydrate antigen 199 (CA199) and carbohydrate antigen 125 (CA125) levels were measured by enzyme-linked immunosorbent assay method. The demographic data and clinical data, including age, sex, body mass index, smoke condition, TNM stage, lymph node metastasis and distant metastasis were collected. All the patients were followed for 5 years. Statistical analysis was conducted using SPSS software with P  < .05 as statistically different.

RESULTS

The diameter of nodules, the proportion of burr signs and smoking status, and the serum levels of CEA, CYFRA21-1, CA199, CA125 were significantly higher in malignant nodules group compared with the benign nodules group. Serum ACSL4 levels of malignant nodules group (19.33 ± 6.92 ng/mL) were remarkably lower than the benign nodules group (25.34 ± 3.78 ng/mL). ACSL4 was negatively correlated with CEA, CYFRA21-1, CA199, and CA125. ACSL4 was associated with the clinical outcomes in malignant PN patients and lower ACSL4 predicted poor clinic outcomes and prognosis. In addition, ACSL4 combined with low-dose 256-slice spiral CT had satisfactory diagnostic value for lung cancer.

CONCLUSION

In summary, our results showed that combination application of ACSL4 and low-dose 256-slice spiral CT might be a potential method for the early screening of lung cancer.

Intermittent administration of atezolizumab with combined carboplatin and etoposide therapy for patients with extensive‑disease small cell lung cancer

To the best of our knowledge, no published reports have examined the significance of additional immune checkpoint inhibitors in treating malignancies, including lung cancer. Therefore, the present study aimed to examine the efficacy and feasibility of adding atezolizumab to carboplatin and etoposide combination chemotherapy for small cell lung cancer with extensive disease (ED-SCLC). The present retrospective analysis examined 16 patients with ED-SCLC who received the addition of atezolizumab to carboplatin and etoposide therapy during treatment at four institutions between August 2019 and September 2020. The effectiveness of treatment was evaluated based on tumor response, survival time and adverse events. Within the study cohort, there were 14 males (87.5%) and 2 females (12.5%), with a median age of 73.5 years (range, 62-79 years); 7 patients had a performance status (PS) of 0-1 (43.8%) and 9 had a PS of 2-3 (56.3%). The median follow-up period was 12.1 months. The overall response rate, median progression-free survival time and median overall survival time were 75.0%, 5.3 and 13.0 months, respectively. Regarding the frequency of hematological adverse events, the occurrence of grade ≥3 adverse events was observed, including decreased neutrophil (56.3%), white blood cell (50.0%) and platelet (43.8%) counts, as well as febrile neutropenia (12.5%). Although 1 patient developed grade 3 pneumonitis as a serious adverse event, no treatment-related deaths were observed. Despite the aforementioned hematological toxicities, the addition of atezolizumab to carboplatin and etoposide therapy during treatment demonstrated favorable efficacy and acceptable toxicity in ED-SCLC. Thus, adding atezolizumab to carboplatin and etoposide combination chemotherapy may be a treatment option for ED-SCLC.

Palladin promotes cancer stem cell-like properties in lung cancer by activating Wnt/Β-Catenin signaling

BACKGROUND

Cancer stem cells (CSCs) are responsible for drug resistance, cancer relapse, and metastasis. Here, we report the first analysis of Palladin expression and its impacts on stem cell-like properties in lung cancer.

METHODS

Tissue microarrays were used to investigate Palladin expression and its association with prognosis. Immunofluorescence (IF), flow fluorescence assay, and Western blot were performed to detect Palladin expression in 6 NSCLC cell lines. Cell phenotypes and drug resistance were evaluated. Xenograft models were constructed to confirm the role of Palladin in vivo.

RESULTS

By using the tissue microarrays, Palladin was identified to be highly expressed in the cytoplasm, specifically in the cytomembrane of NSCLC, and its high expression is associated with poor prognosis. Palladin is widely expressed and enriched in the sphere cells. The in vitro and in vivo studies showed that Palladin promoted stem cell-like properties, including cell viability, invasion, migration, self-renewal abilities, taxol resistance, and tumorigenicity. Western blot revealed that Palladin promoted the accumulation of β-catenin and activated Wnt/β-catenin signaling. Tissue microarrays analysis further confirmed the positive correlation between Palladin and β-catenin. Wnt/β-catenin pathway inhibitor blocked the Palladin-induced enhancement of sphere-forming.

CONCLUSIONS

Palladin might act as an oncogene by promoting CSCs-like properties and tumorigenicity of NSCLC cells via the Wnt/β-catenin signaling pathway. Besides, Palladin was identified to have the potential as a cell surface marker for LCSCs identification. These findings provide a possible target for developing putative agents targeted to LCSCs.

Perspectives of Indonesian Muslim patients with advanced lung cancer on good death: A qualitative study

PURPOSE

Lung cancer is the leading cause of cancer-related death. Patients with advanced lung cancer may experience burdensome distress at the end of life. The concept of good death has been shown to be complex, and continues to be expanded by gaining a better understanding of the cultural views of different populations. This study aimed to explore the perspective of Indonesian Muslims patients with advanced cancer on the concept of good death.

METHOD

A qualitative design comprising in-depth interviews was employed. Seven male and 3 female Muslim patients between ages 36 and 68 and diagnosed with advanced lung cancer were recruited from a teaching hospital in Central Java, Indonesia.

RESULTS

Content analysis of the interviews revealed five themes: dying without physical discomfort, dying in religious ways and in a desirable place, dying without emotional discomfort, receiving help and support, and having a good relationship with medical staff.

CONCLUSIONS

Indonesian Muslim patient with advanced lung cancer have unique perspectives on good death, especially based on the themes of religious ways of dying and support from family. Health care providers should be aware that good death is not an individual concern and should thus adopt highly sensitive observation skills to assess the physical and emotional state of patients. These providers must also understand their patients' preferences and respect their needs, regardless of their own beliefs.

Impact of stereotactic body radiation therapy volume on surgical patient selection, short-term survival, and long-term survival in early-stage non-small cell lung cancer

OBJECTIVES

Stereotactic body radiation therapy (SBRT) is increasingly used to treat non-small cell lung cancer. The purpose of this study is to analyze relationships between facility SBRT utilization and surgical patient selection and survival after surgery.

METHODS

Data on patients with TI/T2N0M0 lesions and treatment facility characteristics were abstracted from the National Cancer Database, 2008 to 2017. Facilities were stratified using an SBRT/surgery ratio previously associated with short-term survival benefit for patients treated surgically, and by a previously identified surgical volume threshold. Multiple regression analyses, Cox proportional-hazard regressions, and Kaplan-Meier log rank test were employed.

RESULTS

In total, 182,610 patients were included. Proportion of high SBRT:surgery ratio (≥17%) facilities increased from 118 (11.5%) to 558 (48.4%) over the study period. Patients undergoing surgery at high-SBRT facilities had comparable comorbidity scores and tumor sizes to those at low-SBRT facilities, and nonclinically significant differences in age, race, and insurance status. Among low-volume surgical facilities, treatment at a high SBRT-using facility was associated with decreased 30-day mortality (1.8% vs 1.4%, P < .001) and 90-day mortality (3.3% vs 2.6%, P < .001). At high-volume surgical facilities, no difference was observed. At 5 years, a survival advantage was identified for patients undergoing resection at facilities with high surgical volumes (hazard ratio, 0.91; confidence interval, 0.90-0.93 P < .001) but not at high SBRT-utilizing facilities.

CONCLUSIONS

Differences in short-term survival following resection at facilities with high-SBRT utilization may be attributable to low surgical volume facilities. Patients treated at high volume surgical facilities do not demonstrate differences in short-term or long-term survival based on facility SBRT utilization.

M2 macrophage-derived exosomal miR-1911-5p promotes cell migration and invasion in lung adenocarcinoma by down-regulating CELF2 -activated ZBTB4 expression

Lung adenocarcinoma (LUAD) is one of the most aggressive, lethal cancers, comprising around 40% of lung cancer cases. Metastases are the primary cause of LUAD deaths. The mechanism underlying metastatic LUAD and tumor microenvironment remain largely unknown. To explore the effect of M2 macrophage-derived exosomes on LUAD progression. Quantitative-PCR (q-PCR) and western blot were used to measure the expression of RNAs and proteins separately. Co-culture experiments wound healing and Transwell invasion assays were performed to evaluate the effect of M2 macrophage-derived exosomes on LUAD cell migration and invasion. RNA pulldown and luciferase reporter, RNA-binding immunoprecipitation (RIP), and mRNA stability assays were conducted to explore the downstream mechanism of exosomal microRNA-1911-5p (miR-1911-5p). M2 macrophage-derived exosomes accelerated the migration and invasion of LUAD cells. M2 macrophages-secreted exosomal miR-1911-5p enhanced cell migration and invasion in LUAD. Mechanically, miR-1911-5p targeted CUGBP- and ETR-3-like family 2 (CELF2) to downregulate zinc finger and BTB domain containing 4 (ZBTB4) in LUAD. Additionally, miR-1911-5p promoted LUAD progression via ZBTB4. The present study demonstrated that M2 macrophage-derived exosomal miR-1911-5p facilitates the migration and invasion of LUAD cells by inhibiting CELF2-activated ZBTB4, which might offer insight into LUAD treatment.

Tanshinone I: Pharmacological activities, molecular mechanisms against diseases and future perspectives

BACKGROUND

Tanshinone I (Tan I) is known as one of the important active components in Salvia miltiorrhiza. In recent years, Tan I has received a substantial amount of attention from the research community for various studies being updated and has been shown to possess favorable activities including anti-oxidative stress, regulation of cell autophagy or apoptosis, inhibition of inflammation, etc. PURPOSE: To summarize the investigation progress on the anti-disease efficacy and effect mechanism of Tan I in recent years, and provide perspectives for future study on the active ingredient.

METHOD

Web of Science and PubMed databases were used to search for articles related to "Tanshinone I" published from 2010 to 2022. Proteins or genes and signaling pathways referring to Tan I against diseases were summarized and classified along with its different therapeutic actions. Protein-protein interaction (PPI) analysis was then performed, followed by molecular docking between proteins with high node degree and Tan I, as well as bioinformactic analysis including GO, KEGG and DO enrichment analysis with the collected proteins or genes.

RESULTS

Tan I shows multiple therapeutic effects, including protection of the cardiovascular system, anti-cancer, anti-inflammatory, anti-neurodegenerative diseases, etc. The targets (proteins or genes) affected by Tan I against diseases involve Bcl-2, Bid, ITGA2, PPAT, AURKA, VEGF, PI3K, AKT, PRK, JNK, MMP9, ABCG2, CASP3, Cleaved-caspase-3, AMPKα, PARP, etc., and the regulatory pathways refer to Akt/Nrf2, SAPK/JNK, PI3K/Akt/mTOR, JAK/STAT3, ATF-2/ERK, etc. What's more, AKT1, CASP3, and STAT3 were predicted as the key action targets for Tan I by PPI analysis combined with molecular docking, and the potential therapeutic effects mechanisms against diseases were also further predicted by bioinformatics analyses based on the reported targets, providing new insights into the future investigation and helping to facilitate the drug development of Tan I.

Glucose metabolic heterogeneity correlates with pathological features and improves survival stratification of resectable lung adenocarcinoma

OBJECTIVE

We investigated whether glycolytic heterogeneity correlated with histopathology, and further stratified the survival outcomes pertaining to resectable lung adenocarcinoma.

METHODS

We retrospectively analyzed the ¹⁸F-fluorodeoxyglucose positron emission tomography-derived entropy and histopathology from 128 patients who had undergone curative surgery for lung adenocarcinoma. Disease-free survival (DFS) and overall survival (OS) were analyzed using univariate and multivariate Cox regression models. Independent predictors were used to construct survival prediction models.

RESULTS

Entropy significantly correlated with histopathology, including tumor grades, lympho-vascular invasion, and visceral pleural invasion. Furthermore, entropy was an independent predictor of unfavorable DFS (p = 0.031) and OS (p = 0.004), while pathological nodal metastasis independently predicted DFS (p = 0.009). Our entropy-based models outperformed the traditional staging system (c-index = 0.694 versus 0.636, p = 0.010 for DFS; c-index = 0.704 versus 0.630, p = 0.233 for OS). The models provided further survival stratification in subgroups comprising different tumor grades (DFS: HR = 2.065, 1.315, and 1.408 for grade 1-3, p = 0.004, 0.001, and 0.039, respectively; OS: HR = 25.557, 6.484, and 2.570, for grade 1-3, p = 0.006, < 0.001, and = 0.224, respectively).

CONCLUSION

The glycolytic heterogeneity portrayed by entropy is associated with aggressive histopathological characteristics. The proposed entropy-based models may provide more sophisticated survival stratification in addition to histopathology and may enable personalized treatment strategies for resectable lung cancer.

Benzo(A)Pyrene-Induced Lung Cancer: Chemo Protective Effect of Coronarin D in Swiss Albino Mice

Lung cancer is considered one of the most prevalent cancers worldwide and also has a high death rate. The prevalence of lung cancer is high in developed countries than in developing countries due to the lifestyle changes and quality of air. Coronarin D is a diterpene, which is isolated from the Hedychium coronarium. It demonstrated several pharmacological properties such as anti-allergic, anti-inflammatory, antimicrobial, and anticancer activities. In the current investigation, the potential of Coronarin D on the B(a)P-induced lung cancer was studied in the experimental mice model. The B(a)P-administrated animals exhibited a reduced level of immune cells, IgG, IgM, immune complexes, SOD, and CAT. The B(a)P-administrated animals expressed high levels of IgA, LPO, xenobiotic markers, tissue marker, tumor marker, and proinflammatory cytokines. On treatment with Coronarin D, the level of neutrophils, lymphocytes, leucocytes, and absolute neutrophils was elevated in the B(a)P-administered mice. The immune complex was augmented in the Coronarin D-treated animals in comparison with B(a)P-treated mice. The level of IgG and IgM was increased, whereas the level of IgA was reduced in the Coronarin D-treated animals. The level of LPO was downregulated, whereas the level of SOD and CAT was upregulated in Coronarin D-treated animals. The expression level of xenobiotic markers, tissue marker, tumor marker, and proinflammatory cytokines was reduced in the Coronarin D-treated animals. The histopathological results revealed that lung tissues of Coronarin D-treated animals had less alveolar damage with decreased hyperplasia. These findings suggest that the Coronarin D can be utilized as a potent chemopreventive agent for treating lung cancer in the future.

Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer

Fibroblasts are poorly characterised cells that variably impact tumour progression. Here, we use single cell RNA-sequencing, multiplexed immunohistochemistry and digital cytometry (CIBERSORTx) to identify and characterise three major fibroblast subpopulations in human non-small cell lung cancer: adventitial, alveolar and myofibroblasts. Alveolar and adventitial fibroblasts (enriched in control tissue samples) localise to discrete spatial niches in histologically normal lung tissue and indicate improved overall survival rates when present in lung adenocarcinomas (LUAD). Trajectory inference identifies three phases of control tissue fibroblast activation, leading to myofibroblast enrichment in tumour samples: initial upregulation of inflammatory cytokines, followed by stress-response signalling and ultimately increased expression of fibrillar collagens. Myofibroblasts correlate with poor overall survival rates in LUAD, associated with loss of epithelial differentiation, TP53 mutations, proximal molecular subtypes and myeloid cell recruitment. In squamous carcinomas myofibroblasts were not prognostic despite being transcriptomically equivalent. These findings have important implications for developing fibroblast-targeting strategies for cancer therapy.

M2 macrophages-derived exosomal miR-3917 promotes the progression of lung cancer via targeting GRK6

Macrophages in the tumor microenvironment (TME) can serve as potential targets for therapeutic intervention. The aim of this study was to investigate the molecular mechanism by which M2 macrophage-derived exosomes (M2-Ex) affect lung cancer progression through miRNA transport. The THP-1 cells were differentiated into M0 and M2 macrophages. M2-Ex were isolated and identified by transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA). Cancer tissues and adjacent tissues of non-small-cell lung cancer (NSCLC) patients were collected. H1299 and A549 cells were co-cultured with M2-Ex. Subcutaneous xenograft mouse model was established. miR-3917 is highly expressed in lung cancer tissues and M2-Ex. Interference of miR-3917 in M2-Ex inhibits H1299 cell proliferation, migration and invasion, while overexpression of miR-3917 had the opposite effect in A549 cells. M2-Ex promote tumor growth by delivering miR-3917 in vivo. miR-3917 could target G protein-coupled receptor kinase 6 (GRK6), and interference of miR-3917 in M2-Ex inhibits H1299 cells proliferation, migration and invasion by up-regulating GRK6 level, while overexpression of miR-3917 had the opposite effect in A549 cells. M2-Ex can transfer miR-3917 into lung cancer cells and promote lung cancer progression, providing theoretical basis for the diagnosis and effective treatment of lung cancer.

Efficacy and safety of carboplatin and etoposide in older extensive-stage small-cell lung cancer patients with a poor performance status

Carboplatin plus etoposide is a standard treatment for older extensive-stage small-cell lung cancer (ES-SCLC) patients with performance status (PS) 2. However, older patients often exhibit poor PS (3, 4), and the treatment effect in them is poorly understood. To determine the therapeutic efficacy and safety of carboplatin plus etoposide therapy for this population, we retrospectively analyzed 63 patients with ES-SCLC with PS ≥2, aged ≥71 years, who had received first-line carboplatin plus etoposide therapy. We compared the treatment efficacy and safety in patients with baseline PS 2 versus those with PS 3-4. In the PS 2 (38 patients) and PS ≥3 (25 patients) groups, the overall response rate was 71.1% and 72.0%, median progression-free survival was 4.6 and 3.1 months, and overall survival was 7.7 and 5.1 months, respectively. PS improved to 0-1 post-treatment in 65.8% and 48.0% of the patients in the PS 2 and PS ≥3 groups, respectively. Patients with PS ≥3 showing improved PS had a progression-free survival of 6.1 months. A higher incidence of grade ≥3 decreased neutrophil counts, febrile neutropenia, and treatment-related death was observed in the PS ≥3 group. The progression-free survival of patients administered prophylactic granulocyte colony-stimulating factor (G-CSF) was 5.2 and 6.1 months in the PS2 and PS ≥3 groups. Overall, carboplatin plus etoposide therapy provided comparable tumor shrinkage, but shorter progression-free and overall survival in older ES-SCLC patients with PS ≥3 than in those with PS 2. Thus, supportive care, such as prophylactic G-CSF administration, may be necessary to ensure safety and survival.

Mortality and disability-adjusted life years for smoking-attributed cancers from 1990 to 2019 in the north Africa and middle east countries: a systematic analysis for the global burden of disease study 2019

AIM AND BACKGROUND

Smoking is a modifiable risk factor for cancers. The aim of the study is to estimate the trend of mortality and DALYs of smoking-attributed cancers in the North Africa and Middle East (NAME) countries.

METHODS

In this study, estimates from the Global Burden of Disease 2019 (GBD-2019) study were used to report the mortality and DALYs for 16 smoking-attributed cancers. The mortality and DALYs rates from smoking-attributed cancers were evaluated by age, sex, and the 21 countries of the NAME countries from 1990 to 2019.

RESULTS

Age standardized mortality rates (ASMR) for the 29 smoking-attributed cancers in the NAME countries in 1990 and 2019 were estimated to be 24.7 (95% Uncertainty Interval: 21.5, 27.8) and 22.4 (95%UI: 19.8, 25.4) respectively, which shows a 9.2% decrease in the three decades. DALYs/100,000 for smoking-attributed cancers was, also, estimated to be 600.3 (95%UI: 521.6, 682.6) and 515.6 (95%UI: 454.9, 585.4) respectively, which indicates a 14.1% decreased in these three decades. In the last three decades, the percentage changes in DALYs/100,000 for smoking-attributed cancers in males and females were - 0.16 and - 0.03, respectively. Plus, The percentage changes in ASMR in males and females were - 12% and 8%, respectively. Furthermore, The highest ASMR and DALYs were observed in Lebanon, Turkey, and Palestine in 2019.

CONCLUSION

The mortality rates of cancers from smoking have increased substantially among females, in most countries of the NAME region, in recent years. The burden caused by smoking can be reduced through modifying lifestyle and applying strict laws on smoking by governments and policymakers.

Analyzing bronchoalveolar fluid derived small extracellular vesicles using single-vesicle SERS for non-small cell lung cancer detection

An emerging body of research by biologists and clinicians has demonstrated the clinical application of small extracellular vesicles (sEVs, also commonly referred to as exosomes) as biomarkers for cancer detections. sEVs isolated from various body fluids such as blood, saliva, urine, and cerebrospinal fluid have been used for biomarker discoveries with highly encouraging outcomes. Among the biomarkers discovered are those responsible for multiple cancer types and immune responses. These biomarkers are recapitulated from the tumor microenvironments. Yet, despite numerous discussions of sEVs in scientific literature, sEV-based biomarkers have so far played only a minor role for cancer diagnostics in the clinical setting, notably less so than other techniques such as imaging and biopsy. In this paper, we report the results of a pilot study (n = 10 from each of the patient and the control group) using bronchoalveolar lavage fluid to determine the presence of sEVs related to non-small cell lung cancer in twenty clinical samples examined using surface enhanced Raman spectroscopy (SERS).

Updated Views in Targeted Therapy in the Patient with Non-Small Cell Lung Cancer

Non-small cell lung cancer (NSCLC) is the most frequent form of lung cancer and represents a set of histological entities that have an ominous long-term prognosis, for example, adenocarcinoma, squamous carcinoma and large cell carcinoma. Both small cell and non-small cell lung cancer are the main causes of oncological death and the oncological diseases with the highest incidence worldwide. With regard to clinical approaches for NSCLC, several advances have been achieved in diagnosis and treatment; the analysis of different molecular markers has led to the development of new targeted therapies that have improved the prognosis for selected patients. Despite this, most patients are diagnosed in an advanced stage, presenting a limited life expectancy with an ominous short-term prognosis. Numerous molecular alterations have been described in recent years, allowing for the development of therapies directed against specific therapeutic targets. The correct identification of the expression of different molecular markers has allowed for the individualization of treatment throughout the disease course, expanding the available therapeutic arsenal. The purpose of this article is to summarize the main characteristics of NSCLC and the advances that have occurred in the use of targeted therapies, thus explaining the limitations that have been observed in the management of this disease.

Simultaneous treatment of two lung cancer lesions with stereotactic MR-guided adaptive radiation therapy: A case report

RATIONALE

Lung cancer is 1 of the most prevalent cancers globally. Definitive stereotactic ablative radiotherapy (SABR) is suggested for those who are unfit for or refuse surgical intervention. Here we present a patient with 2 lung cancer lesions who received SABR simultaneously with magnetic resonance Linear accelerator (Linac)-magnetic resonance (MR).

PATIENT CONCERNS

A 46-years-old man had history of left lower lung cancer post lobectomy in 2018. Two recurrent tumors were found 2 years following, then became enlarged 4 months later.

DIAGNOSES

The recurrent tumors were found by computed tomography.

INTERVENTIONS

SABR was indicated due to inoperability and small size. Simulation was done both by computed tomography and MR scan with ViewRay MRIdian Linac, with the prescription dose being 50 gray in 4 fractions performed every other day within 2 weeks. The 2 lesions were irradiated at the same time with a single isocenter with mean treatment time was 78 minutes.

OUTCOMES

No acute side effect was noted. Follow-up chest computed tomography scan 14 months after SABR showed mild consolidation and pneumonitis over the upper irradiated site favoring radiation-related reasons, while pneumonitis was resolved over the lower irradiated site. Positron emission tomography showed no definite evidence of FDG-avid recurrence. The patient has survived over 18 months following SABR and more than 4 years from the first diagnosis of lung cancer without significant adverse effects.

LESSONS

Simultaneous SABR for multiple lung lesions is quite challenging because tumor motion by breathing can increase the risk of missing the target. With help by MR-Linac, simultaneous SABR to multiple lung lesions can be performed safely with efficacy.

Association between radiotherapy and risk of death from cardiovascular diseases in lung and bronchus cancer

Background

Radiotherapy plays an important role in the treatment of lung cancer. However, radiation-related deaths from cardiovascular disease (CVD) are a concern in these patients, and few studies have examined CVD-related death associated with lung cancer. We aimed to evaluate the risk of CVD-related death after radiotherapy in patients with lung and bronchus cancer.

Methods

Data were extracted from the surveillance, epidemiology, and end results database. Propensity score matching (PSM) was applied to reduce possible bias between patients who received radiotherapy and those who did not. The Kaplan-Meier method was used to estimate cardiovascular-specific survival (CVSS), and the log-rank test was used to compare CVSS between the radiotherapy and no radiotherapy groups. Cox proportional hazards regression analysis was performed to estimate the hazard ratio (HR) of CVD-related death.

Results

A total of 225,570 patients with lung and bronchus cancer were included, and 201,282 patients remained after PSM. Radiotherapy was identified as an independent risk factor for CVSS among patients with lung and bronchus cancer before PSM (HR: 1.18, P < 0.001) and after PSM (HR: 1.18, P < 0.001). Patients treated with radiotherapy had a significantly worse CVSS than those who did not receive radiotherapy before PSM (25-year CVSS: 49.9 vs. 56.4%, P = 0.002) and after PSM (25-year CVSS: 48.4 vs. 56.7%, P < 0.001). Radiotherapy was associated with more deaths from heart disease before PSM (81.9 vs. 77.2%, P < 0.001) and after PSM (83.0 vs. 78.7%, P < 0.001).

Conclusion

Radiotherapy is associated with an increased risk of CVD-related death, especially death from heart disease, in patients with lung and bronchus cancer. More efforts are needed to monitor cardiovascular health after radiotherapy.

Computed tomography-based radiomics machine learning models for prediction of histological invasiveness with sub-centimeter subsolid pulmonary nodules: a retrospective study

To improve the accuracy of preoperative diagnoses and avoid over- or undertreatment, we aimed to develop and compare computed tomography-based radiomics machine learning models for the prediction of histological invasiveness using sub-centimeter subsolid pulmonary nodules. Three predictive models based on radiomics were built using three machine learning classifiers to discriminate the invasiveness of the sub-centimeter subsolid pulmonary nodules. A total of 203 sub-centimeter nodules from 177 patients were collected and assigned randomly to the training set (n = 143) or test set (n = 60). The areas under the curve of the predictive models were 0.743 (95% confidence interval CI [0.661-0.824]) for the logistic regression, 0.828 (95% CI [0.76-0.896]) for the support vector machine, and 0.917 (95% CI [0.869-0.965]) for the XGBoost classifier models in the training set, and 0.803 (95% CI [0.694-0.913]), 0.726 (95% CI [0.598-0.854]), and 0.874 (95% CI [0.776-0.972]) in the test set, respectively. In addition, the decision curve showed that the XGBoost model added more net benefit within the range of 0.06 to 0.93.

The expression of HER2/neu in patients with lung cancer and its associated factors

BACKGROUND AND OBJECTIVES

Lung cancer is the most common cause of cancer-related death worldwide in both sexes. Evidence suggests the role of genetic factors in lung cancer. Studying of such factors can help understand the cancer prognosis. Overexpression of the human epidermal growth factor receptor-2 (HER2/neu) protein is considered an important prognostic factor in breast cancer, but its role has not been confirmed in lung cancer. Therefore, the present study aimed to investigate the role of its expression in patients with lung cancer.

MATERIALS AND METHODS

In this cross-sectional study, patients aged >18 years who were referred to Afzalipoor Hospital, Kerman, Iran, from 2016 to 2017, and were diagnosed with lung cancer were enrolled into the study if they had a pathological sample of their cancerous lung. Their demographics were recorded, and the sample was sectioned and stained to measure HER2/neu gene expression according to DAKO instructions using heat-induced antigen retrieval (HIER) enzyme marker.

RESULTS

The samples of 100 patients with lung cancer were evaluated (84% men and 16% women) with a mean age of 61.34 years (standard deviation of 12.51 years). HER2/neu expression was significantly associated with the type of cancer and was highest in adenocarcinoma and zero in small cell carcinoma (P < 0.001), but not with patients' sex, age, smoking status and family history of cancer (P > 0.05).

CONCLUSION

These results emphasized the overexpression of HER2/neu in different types of lung cancer, which can be used further for therapeutic purposes. The results showed that HER2/neu was overexpressed not only in adenocarcinoma but also in other types, like squamous cell carcinoma. Therefore, all subtypes of non-small cell lung carcinoma should be considered for anti-HER2 therapies, and further research is required for small cell lung carcinoma.

LINC00963 promotes the malignancy and metastasis of lung adenocarcinoma by stabilizing Zeb1 and exosomes-induced M2 macrophage polarization

BACKGROUND

Long intergenic non-coding RNA 00963 (LINC00963) is an oncogenic lncRNA in human cancers. However, little is known on how it impacts the pathogenesis of lung adenocarcinoma (LUAD).

METHODS

Biological effects on proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT) were examined by CCK-8, colony formation, EdU incorporation, transwell, and immunofluorescence assays, respectively. Macrophage polarization was evaluated by flow cytometry. Ubiquitination of Zeb1 was examined by co-immunoprecipitation. The location of LINC00963 in LUAD tissues and cell lines was tested by FISH assay. The LINC00963/HNRNPA2B1/Siah1 mRNA complex interaction was verified using RNA pull-down and immunoprecipitation assays. The exact roles of LINC00963 were further validated in metastasis and xenograft models.

RESULTS

Higher LINC00963 expression in LUAD patients positively correlated with shorter overall survival, higher stages, and metastasis. LINC00963 mainly localized in the cytoplasm and aggravated malignant phenotypes of LUAD cells in vitro and metastasis in vivo. Mechanistically, LINC00963 directly interacted HNRNPA2B1 protein to trigger the degradation of Siah1 mRNA, which inhibited the ubiquitination and degradation of Zeb1. Moreover, exosomal LINC00963 derived from LUAD cells induced M2 macrophage polarization and promoted LUAD growth and metastasis.

CONCLUSION

By stabilizing Zeb1 in cancer cells and delivering exosomes to induce M2 macrophage polarization, LINC00963 promoted the malignancy and metastasis of LUAD. Targeting LINC00963 may become a valuable therapeutic target for LUAD.

Oxidative Stress and Air Pollution: Its Impact on Chronic Respiratory Diseases

Redox regulation participates in the control of various aspects of metabolism. Reactive oxygen and nitrogen species participate in many reactions under physiological conditions. When these species overcome the antioxidant defense system, a distressed status emerges, increasing biomolecular damage and leading to functional alterations. Air pollution is one of the exogenous sources of reactive oxygen and nitrogen species. Ambient airborne particulate matter (PM) is important because of its complex composition, which includes transition metals and organic compounds. Once in contact with the lungs' epithelium, PM components initiate the synthesis of inflammatory mediators, macrophage activation, modulation of gene expression, and the activation of transcription factors, which are all related to the physiopathology of chronic respiratory diseases, including cancer. Even though the pathophysiological pathways that give rise to the development of distress and biological damage are not fully understood, scientific evidence indicates that redox-dependent signaling pathways are involved. This article presents an overview of the redox interaction of air pollution inside the human body and the courses related to chronic respiratory diseases.

Identification of Key Biomarkers and Candidate Molecules in Non-Small-Cell Lung Cancer by Integrated Bioinformatics Analysis

Background

Non-small cell lung cancer (NSCLC) is the most prevalent malignant tumor of the lung cancer, for which the molecular mechanisms remain unknown. In this study, we identified novel biomarkers associated with the pathogenesis of NSCLC aiming to provide new diagnostic and therapeutic approaches for NSCLC by bioinformatics analysis.

Methods

From the Gene Expression Omnibus database, GSE118370 and GSE10072 microarray datasets were obtained. Identifying the differentially expressed genes (DEGs) between lung adenocarcinoma and normal samples was done. By using bioinformatics tools, a protein-protein interaction (PPI) network was constructed, modules were analyzed, and enrichment analyses were performed. The expression and prognostic values of 14 hub genes were validated by the GEPIA database, and the correlation between hub genes and survival in lung adenocarcinoma was assessed by UALCAN, cBioPortal, String and Cytoscape, and Timer tools.

Results

We found three genes (PIK3R1, SPP1, and PECAM1) that have a clear correlation with OS in the lung adenocarcinoma patient. It has been found that lung adenocarcinoma exhibits high expression of SPP1 and that this has been associated with poor prognosis, while low expression of PECAM1 and PIK3R1 is associated with poor prognosis (P < 0.05). We also found that the expression of SPP1 was associated with miR-146a-5p, while the high expression of miR-146a-5p was related to good prognosis (P < 0.05). On the contrary, the lower miR-21-5p on upstream of PIK3R1 is associated with a higher surviving rate in cancer patients (P < 0.05). Finally, we found that the immune checkpoint genes CD274(PD-L1) and PDCD1LG2(PD-1) were also related to SPP1 in lung adenocarcinoma.

Conclusions

The results indicated that SPP1 is a cancer promoter (oncogene), while PECAM1 and PIK3R1 are cancer suppressor genes. These genes take part in the regulation of biological activities in lung adenocarcinoma, which provides a basis for improving detection and immunotherapeutic targets for lung adenocarcinoma.

ELANE Promotes M2 Macrophage Polarization by Down-Regulating PTEN and Participates in the Lung Cancer Progression

BACKGROUND

Macrophages are one of the most important immunoinflammatory cell populations in the tumor microenvironment (TME). In this study, we preliminarily investigated the upstream pathway of M2 macrophage polarization affecting lung cancer progression.

METHODS

Bioinformatics analysis was used to evaluate genes closely associated with lung adenocarcinoma and their relationship with immune cells. THP-1 monocytes were induced into M2 macrophages. The expression of markers in M2 macrophages was detected by quantitative reverse transcription-PCR (qRT-PCR), enzyme linked immunosorbent assay (ELISA), and flow cytometry. The effects of neutrophil elastase (ELANE)-mediated M2 macrophages on lung cancer cell proliferation, migration and invasion and tumor growth were investigated by in vitro and in vivo experiments after co-culture of macrophage conditioned medium (CM) and lung cancer cell lines A549 and H1299. The PTEN protein expression was detected by Western blotting.

RESULTS

ELANE was significantly positively correlated with M2 macrophages. ELANE up-regulated the expression of the M2 macrophage markers CD206, CCL22, IL-10 and CCL18 and increased the proportion of CD206+ macrophages. Compared with M0-CM, M2-CM promoted cell proliferation, migration, and invasion, and (M2+ELANE)-CM further enhanced this effect. In vivo, ELANE promoted M2 macrophage-induced tumor growth in lung cancer mice model. In vitro experiments showed that ELANE can down-regulate the expression of PTEN and promote the polarization of M2 macrophages.

CONCLUSION

ELANE promotes the polarization of M2 macrophages by down-regulating PTEN, thus promoting cell proliferation, migration, and invasion in vitro and growth of lung cancer cells in vivo.

Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit

BACKGROUNDS

The in-hospital mortality in lung cancer patients admitted to intensive care unit (ICU) is extremely high. This study intended to adopt machine learning algorithm models to predict in-hospital mortality of critically ill lung cancer for providing relative information in clinical decision-making.

METHODS

Data were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) for a training cohort and data extracted from the Medical Information Mart for eICU Collaborative Research Database (eICU-CRD) database for a validation cohort. Logistic regression, random forest, decision tree, light gradient boosting machine (LightGBM), eXtreme gradient boosting (XGBoost), and an ensemble (random forest+LightGBM+XGBoost) model were used for prediction of in-hospital mortality and important feature extraction. The AUC (area under receiver operating curve), accuracy, F1 score and recall were used to evaluate the predictive performance of each model. Shapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance of each feature.

RESULTS

Overall, there were 653 (24.8%) in-hospital mortality in the training cohort, and 523 (21.7%) in-hospital mortality in the validation cohort. Among the six machine learning models, the ensemble model achieved the best performance. The top 5 most influential features were the sequential organ failure assessment (SOFA) score, albumin, the oxford acute severity of illness score (OASIS) score, anion gap and bilirubin in random forest and XGBoost model. The SHAP summary plot was used to illustrate the positive or negative effects of the top 15 features attributed to the XGBoost model.

CONCLUSION

The ensemble model performed best and might be applied to forecast in-hospital mortality of critically ill lung cancer patients, and the SOFA score was the most important feature in all models. These results might offer valuable and significant reference for ICU clinicians' decision-making in advance.

N-Heterocycle based Degraders (PROTACs) Manifesting Anticancer Efficacy: Recent Advances

Proteolysis Targeting Chimeras (PROTACs) technology has emerged as a promising strategy for the treatment of undruggable therapeutic targets. Researchers have invested a great effort in developing druggable PROTACs; however, the problems associated with PROTACs, including poor solubility, metabolic stability, cell permeability, and pharmacokinetic profile, restrict their clinical utility. Thus, there is a pressing need to expand the size of the armory of PROTACs which will escalate the chances of pinpointing new PROTACs with optimum pharmacokinetic and pharmacodynamics properties. N- heterocycle is a class of organic frameworks that have been widely explored to construct new and novel PROTACs. This review provides an overview of recent efforts of medicinal chemists to develop N-heterocycle-based PROTACs as effective cancer therapeutics. Specifically, the recent endeavors centred on the discovery of PROTACs have been delved into various classes based on the E3 ligase they target (MDM2, IAP, CRBN, and other E3 ligases). Mechanistic insights revealed during the biological assessment of recently furnished Nheterocyclic- based PROTACs constructed via the utilization of ligands for various E3 ligases have been discussed.

Prevalence of lung cancer in Colombia and a new diagnostic algorithm using health administrative databases: A real-world evidence study

Reliable, timely and detailed information on lung cancer prevalence, mortality and costs from middle-income countries is essential to policy design. Thus, we aimed to develop an electronic algorithm to identify lung cancer prevalent patients in Colombia by using administrative claims databases, as well as to estimate prevalence rates by age, sex and geographic region. We performed a cross-sectional study based on national claim databases in Colombia (Base de datos de suficiencia de la Unidad de Pago por Capitación and Base de Datos Única de Afiliados) to identify lung cancer prevalent patients in 2017, 2018 and 2019. Several algorithms based on the presence or absence of oncological procedures (chemotherapy, radiotherapy and surgery) and a minimum number of months that each individual had lung cancer ICD-10 codes were developed. After testing 16 algorithms, those with the closest prevalence rates to those rates reported by aggregated official sources (Global Cancer Observatory and Cuenta de Alto Costo) were selected. We estimated prevalence rates by age, sex and geographic region. Two algorithms were selected: i) one algorithm that was defined as the presence of ICD-10 codes for 4 months or more (the sensitive algorithm); and ii) one algorithm that was defined by adding the presence of at least one oncological procedure (the specific algorithm). The estimated prevalence rates per 100,000 inhabitants ranged between 11.14 and 18.05 for both, the contributory and subsidized regimes over years 2017, 2018 and 2019. These rates in the contributory regime were higher in women (15.43, 15.61 and 17.03 per 100,000 for years 2017, 2018 and 2019), over 65-years-old (63.45, 56.92 and 61.79 per 100,000 for years 2017, 2018 and 2019) who lived in Central, Bogota and Pacific regions. Selected algorithms showed similar aggregated prevalence estimations to those rates reported by official sources and allowed us to estimate prevalence rates in specific aging, regional and gender groups for Colombia by using national claims databases. These findings could be useful to identify clinical and economical outcomes related to lung cancer patients by using national individual-level databases.

Immunotherapy in Non-Small-Cell Lung Cancer (NSCLC)

Treatment of non-small-cell lung cancer depends heavily on the cancer stage, and immunotherapy can play a major role at any stage. For locally advanced stages, the addition of an immune checkpoint inhibitor (ICI) to neoadjuvant chemotherapy improves pathological response and event-free survival. In the adjuvant setting, adding ICI, after adjuvant chemotherapy for resectable cancer, increases the disease-free survival. In unresectable stage III treated with concomitant chemotherapy and radiotherapy, adding ICI as a maintenance therapy increases progression-free survival and overall survival. In the metastatic setting, the addition of ICI to chemotherapy improves overall survival, progression-free survival, and response rates irrespective of the PD-L1 expression. ICI on its own may be considered in cases of PD-L1 expression equal or greater than at least 50%.

Immune biology of NSCLC revealed by single-cell technologies: implications for the development of biomarkers in patients treated with immunotherapy

First-line immunotherapy in non-small-cell lung cancer largely improved patients' survival. PD-L1 testing is required before immune checkpoint inhibitor initiation. However, this biomarker fails to accurately predict patients' response. On the other hand, immunotherapy exposes patients to immune-related toxicity, the mechanisms of which are still unclear. Hence, there is an unmet need to develop clinically approved predictive biomarkers to better select patients who will benefit the most from immune checkpoint inhibitors and improve risk management. Single-cell technologies provide unprecedented insight into the tumor and its microenvironment, leading to the discovery of immune cells involved in immune checkpoint inhibitor response or toxicity. In this review, we will underscore the potential of the single-cell approach to identify candidate biomarkers improving non-small-cell lung cancer patients' care.

Global research trends between gut microbiota and lung cancer from 2011 to 2022: A bibliometric and visualization analysis

Background

An increasing number of studies have found that the gut microbiota was related to the occurrence and development of lung cancer. Nonetheless, publication trends and research hotspots in this field remain unknown. The study aimed to perform a bibliometric analysis to systematically identify publication trends and research hotspots in the field of gut microbiota and lung cancer research within a 12-year panorama.

Methods

Publications related to the gut microbiota and lung cancer between 1 January 2011 and 25 October 2022 were retrieved from the Web of Science Core Collection (WoSCC) database. The online analytic tool of the WoSCC was used to analyze various bibliometric parameters. The bibliometrics website, CiteSpace, and VOSviewer were used to identify research trends and hotspots.

Results

A total of 375 publications related to the gut microbiota and lung cancer were extracted from WoSCC and identified for analysis. The number of annual publications has grown rapidly since 2018 and reached a peak in 2022. China was the most prolific country in this field, with 120 publications, followed by the United States (114), with the highest H-index of 31. Additionally, France ranked the highest with an average of 133 citations, while the leading institution and journal were the Unicancer and the International Journal of Molecular Sciences, respectively. Interestingly, Routy Bertrand was the most prolific author and also the most cited author in terms of H-index and citations. Reference and keyword burst detection indicated that the research hotspots mainly included 1) the gut microbiota directly affects the efficacy of immunotherapy for lung cancer, 2) the application of different gut bacteria on lung cancer, and 3) the mechanism of the gut microbiota on lung cancer.

Conclusion

The findings of this study revealed the general publication trends and evolving research hotspots in the field of gut microbiota and lung cancer at a global level. The research hotspots focused on the clinical application of the gut microbiota combined with immunotherapy in lung cancer and its mechanism. The findings of this study provide new perspectives on the field, which may shed light on a beneficial impact on further etiological studies, diagnosis, and treatment for lung cancer.

Investigate the application of postoperative ctDNA-based molecular residual disease detection in monitoring tumor recurrence in patients with non-small cell lung cancer--A retrospective study of ctDNA

Purpose

To evaluate whether postoperative circulating tumor DNA (ctDNA) in plasma of patients with non-small cell lung cancer (NSCLC) can be used as a biomarker for early detection of molecular residual disease (MRD) and prediction of postoperative recurrence.

Methods

This study subjects were evaluated patients with surgical resected non-small cell lung cancer. All eligible patients underwent radical surgery operation followed by adjuvant therapy. Tumor tissue samples collected during operation were used to detect tumor mutation genes, and blood samples collected from peripheral veins after operation were used to collect ctDNA. Molecular residue disease (MRD) positive was defined as at least 1 true shared mutation identified in both the tumor sample and a plasma sample from the same patient was.

Results

Positive postoperatively ctDNA was associated with lower recurrence-free survival (RFS).The presence of MRD was a strong predictor of disease recurrence. The relative contribution of ctDNA-based MRD to the prediction of RFS is higher than all other clinicopathological variables, even higher than traditional TNM staging. In addition, MRD-positive patients who received adjuvant therapy had improved RFS compared to those who did not, the RFS of MRD-negative patients receiving adjuvant therapy was lower than that of patients not receiving adjuvant therapy.

Conclusions

Post-operative ctDNA analysis is an effective method for recurrence risk stratification of NSCLC, which is beneficial to the management of patients with NSCLC.

Development and testing of "Is Lung Cancer Screening for You?" A computer-based decision aid

PURPOSE

To reduce lung cancer mortality, individuals at high-risk should receive a low-dose computed tomography screening annually. To increase the likelihood of screening, interventions that promote shared decision-making are needed. The goal of this study was to investigate the feasibility, acceptability, usability, and preliminary effectiveness of a computer-based decision aid.

METHODS

Thirty-three participants were recruited through primary-care clinics in a small southeastern-US city. Participants used a computer-based decision aid ("Is Lung Cancer Screening for You?") during a clinic appointment. Paper surveys collected self-reported feasibility, acceptability, and usability data. A research coordinator was present to observe each patient's and health-care provider's interactions, and to assess the fidelity of shared decision-making.

RESULTS

The decision aid was feasible, acceptable for use in a clinic setting, and easy for participants to use. Patients had low decisional conflict following use of the decision aid and had high screening intention and actual screening rates. Shared decision-making discussions using the decision aid were nearly 6 min on average.

CONCLUSION

Computer-based decision aids are feasible for promoting shared lung cancer-screening decisions. A more robust study is warranted to measure the added value of a computer-based version of this aid versus a paper-based aid.

The potential anti-cancer effects of quercetin on blood, prostate and lung cancers: An update

Cancer is caused by abnormal proliferation of cells and aberrant recognition of the immune system. According to recent studies, natural products are most likely to be effective at preventing cancer without causing any noticeable complications. Among the bioactive flavonoids found in fruits and vegetables, quercetin is known for its anti-inflammatory, antioxidant, and anticancer properties. This review aims to highlight the potential therapeutic effects of quercetin on some different types of cancers including blood, lung and prostate cancers.

Analysis of Angiogenesis-Related Signatures in the Tumor Immune Microenvironment and Identification of Clinical Prognostic Regulators in Lung Adenocarcinoma

Tumor angiogenesis is considered to be an important part of the mechanism of tumor progression and metastasis, and its specific function in lung adenocarcinoma has not been fully studied. In this study, we used the transcriptome and genome data of lung adenocarcinoma patients to analyze the expression of 36 angiogenesis regulators in lung adenocarcinoma. Consensus clustering analysis divided lung adenocarcinoma samples into 4 subtypes, A, B, C, and D, and the expression of most angiogenesis regulators in subtype B was higher than that in other subtypes. Immunological analysis indicated that subtype B is likely to display the characteristics of a hot tumor with a more active TME. With the help of Lasso-Cox regression analysis, we successfully constructed a risk model involving five Angiogenesis Regulators genes (CCND2, JAG1, MSX1, STC1, TIMP1), which will be helpful for clinical personalized treatment and prognosis prediction. In addition, JAG1 has the highest mutation rate in tumors, and its cancer-promoting function is reflected in a variety of tumors, which provides important clues for the development of new broad-spectrum anti-cancer targets in the future. We successfully constructed a risk model involving five angiogenesis regulators genes (CCND2, JAG1, MSX1, STC1, TIMP1), which may be helpful for clinical personalized treatment and prognosis prediction. In addition, JAG1 has the highest mutation rate in tumors and plays a leading role in the protein interaction network. Its tumor-promoting function is reflected in a variety of tumors and may become a broad-spectrum anti-cancer target in the future.