Molecular epidemiology of lung cancer in Iran: implications for drug development and cancer prevention

Assessment of the relationship between miR-499C/T (rs3746444) polymorphism and lung carcinoma in Iranian population; a case-control study

Introduction

Lung carcinoma is characterized by uncontrollable division of respiratory system cells with detrimental and lethal consequences on human health. Critical roles of microRNAs (miR) are scientifically approved in biological and pathological pathways, such as the role of miR-499 (rs3746444) in lung carcinomas. Thus, in this case-control investigation, we aimed to assess the probable relationship between miR-499C/T variant and the occurrence of lung carcinoma in Iranian population for the first time.

Methods

Genotype of miR-499 polymorphism was described by the Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) assay in patients and healthy individuals. Following definite diagnosis of lung carcinoma, the blood samples were collected, and the DNA extraction was performed by Salting-Out method. Finally, data were analysed by SPSS (v. 20) and the significant level was considered p-value<0.05.

Results

Statistically, the frequency of combined genotypes of CC+CT were 83.33% and 35% and TT+CT were 100% and 92% in case and control individuals, respectively. Also, individuals with genotypes of TC (OR: 3.08, CI95%: 3.03-3.17, p<0.0001), TC+CC (OR: 0.10, CI95%: 0.05-0.23, p<0.0001), CC (OR: 0, CI95%: 0.00-0.60, p=0.0214), and TC (OR: 0.07, CI95%: 0.030.15, p<0.0001) represented statistically significant (p<0.05) differences lung carcinoma than those with TT, TT, TT+TC, and TT+CC genotypes, respectively. The frequency of miR-499C (78.5%) and miR-499T (21.5%) alleles were also statistically significantly (p<0.05) difference associated with lung carcinoma in patients than controls.

Conclusion

In this study, a possible relationship among miR-499C/T polymorphism and lung carcinoma was detected in Iranian population. Since this study was conducted for the first time, thus other supplementary assessments are needed for definite conclusion.

Immunogenetic polymorphisms predict therapeutic efficacy and survival outcomes in tumor patients receiving PD-1/PD-L1 blockade

BACKGROUND

While immune checkpoint inhibitors (ICIs) demonstrate remarkable clinical responses, only a small subset of patients obtains benefits. Genes linked to the tumor immune system are confirmed to be critical for the treatment of ICIs, and their polymorphisms can contribute to ICI efficacy. Here, we examined the potential of immunogenetic variations to predict the efficacy and survival of the PD-1/PD-L1 blockade.

METHODS

Cancerous patients receiving PD-1/PD-L1 blockade were recruited and followed up. Pivotal genes related to tumor-immunity were filtered through a protein-protein interaction network and the degree algorithm in Cytoscape. Finally, 39 genetic variants were genotyped through multiplex genotyping assays. Association analyses between variants and ICI efficacy and progression-free survival (PFS) were performed.

RESULTS

Overall, 318 patients were ultimately enrolled. Hence, three immunogenetic variants were identified as predictors of PD-1/PD-L1 blockade response. Mutant alleles from ATG7 rs7625881, CD274 rs2297136, and TLR4 rs1927911 were all at increased risk of tumor progression following ICI therapy (OR: 1.475, 1.641, 1.462, respectively; P value: 0.028, 0.017, 0.027, respectively). Significant immunogenetic variants also attained similar trends in the PD-1 blockade, lung cancer, or lung cancer using PD-1 blockade subgroups. Furthermore, the mutant genotypes of CD274 rs2297136 (GG as the reference: HR: 0.50 (95%CI: 0.29-0.88), P value: 0.015) and TLR4 rs1927911 (AA as the reference: HR: 0.65 (95%CI: 0.47-0.91), P value: 0.012) indicated poorer PFS and were both independent prognostic factors.

CONCLUSION

Immunogenetic polymorphisms, including ATG7 rs7625881, CD274 rs2297136, and TLR4 rs1927911, were first identified as potential predictors of response to PD-1/PD-L1 blockade in tumor patients.

Identification and validation of differentially expressed genes for targeted therapy in NSCLC using integrated bioinformatics analysis

Background

Despite the high prevalence of lung cancer, with a five-year survival rate of only 23%, the underlying molecular mechanisms of non-small cell lung cancer (NSCLC) remain unknown. There is a great need to identify reliable candidate biomarker genes for early diagnosis and targeted therapeutic strategies to prevent cancer progression.

Methods

In this study, four datasets obtained from the Gene Expression Omnibus were evaluated for NSCLC- associated differentially expressed genes (DEGs) using bioinformatics analysis. About 10 common significant DEGs were shortlisted based on their p-value and FDR (DOCK4, ID2, SASH1, NPR1, GJA4, TBX2, CD24, HBEGF, GATA3, and DDR1). The expression of significant genes was validated using experimental data obtained from TCGA and the Human Protein Atlas database. The human proteomic data for post- translational modifications was used to interpret the mutations in these genes.

Results

Validation of DEGs revealed a significant difference in the expression of hub genes in normal and tumor tissues. Mutation analysis revealed 22.69%, 48.95%, and 47.21% sequence predicted disordered regions of DOCK4, GJA4, and HBEGF, respectively. The gene-gene and drug-gene network analysis revealed important interactions between genes and chemicals suggesting they could act as probable drug targets. The system-level network showed important interactions between these genes, and the drug interaction network showed that these genes are affected by several types of chemicals that could serve as potential drug targets.

Conclusions

The study demonstrates the importance of systemic genetics in identifying potential drug- targeted therapies for NSCLC. The integrative system- level approach should contribute to a better understanding of disease etiology and may accelerate drug discovery for many cancer types.

Circ_CSPP1 Regulates the Development of Non-small Cell Lung Cancer via the miR-486-3p/BRD9 Axis

In this study, we explored the role of circ_CSPP1 in non-small cell lung cancer (NSCLC) using NSCLC cell lines (A549 and H1299) and human bronchial epithelioid cells (16HBE). The differential expression of circ_CSPP1, miR-486-3p and BRD9 in NSCLC by quantitative real-time polymerase chain reaction (qRT-PCR) and western blot in A549 cells, H1299 cells, 16HBE cells, NSCLC tissues and healthy lung tissues. Dual-luciferase reporter assay was conducted to verify the interaction between circ_CSPP1 and miR-486-3p or miR-486-3p and BRD9. The effect of circ_CSPP1/miR-486-3p/BRD9 axis on NSCLC cell proliferation was evaluated using cell counting kit-8 assay, colony formation assay, and 5-ethynyl-2'-deoxyuridine assay. Additionally, transwell assays were performed to evaluate the effect of circ_CSPP1/miR-486-3p/BRD9 axis on A549 and H1299 cell migration and invasion. The effect of circ_CSPP1 on tumor tumorigenesis of A549 cells in vivo was determined by xenograft tumor model and immunohistochemistry assay. Circ_CSPP1 and BRD9 expression were upregulated, while miR-486-3p expression was downregulated in tumor tissues of NSCCL patients and A549 and H1299 cells. Circ_CSPP1 specifically bound miR-486-3p, and miR-486-3p could target BRD9. Circ_CSPP1 upregulation promoted proliferation, invasion and migration of NSCLC cells, circ_CSPP1 knockdown or miR-486-3p upregulation had the opposite effects. Circ_CSPP1 knockdown-induced effects were reverted by miR-486-3p inhibition. Similarly, the effects of miR-486-3p upregulation on NSCLC cell proliferation, invasion and migration were reversed by BRD9 overexpression. In addition, circ_CSPP1 silencing inhibited tumor growth in nude mice. Circ_CSPP1 promoted A549 and H1299 cell malignancy by competitively inhibiting BRD9 and binding to miR-486-3p.

Research Progress on Radiotherapy Combined with Immunotherapy for Associated Pneumonitis During Treatment of Non-Small Cell Lung Cancer

Radiation pneumonitis is a common and serious complication of radiotherapy for thoracic tumours. Although radiotherapy technology is constantly improving, the incidence of radiation pneumonitis is still not low, and severe cases can be life-threatening. Once radiation pneumonitis develops into radiation fibrosis (RF), it will have irreversible consequences, so it is particularly important to prevent the occurrence and development of radiation pneumonitis. Immune checkpoint inhibitors (ICIs) have rapidly altered the treatment landscape for multiple tumour types, providing unprecedented survival in some patients, especially for the treatment of non-small cell lung cancer (NSCLC). However, in addition to its remarkable curative effect, ICls may cause immune-related adverse events. The incidence of checkpoint inhibitor pneumonitis (CIP) is 3% to 5%, and its mortality rate is 10% to 17%. In addition, the incidence of CIP in NSCLC is higher than in other tumour types, reaching 7%–13%. With the increasing use of immune checkpoint inhibitors (ICls) and thoracic radiotherapy in the treatment of patients with NSCLC, ICIs may induce delayed radiation pneumonitis in patients previously treated with radiation therapy, or radiation activation of the systemic immune system increases the toxicity of adverse reactions, which may lead to increased pulmonary toxicity and the incidence of pneumonitis. In this paper, the data about the occurrence of radiation pneumonitis, immune pneumonitis, and combined treatment and the latest related research results will be reviewed.

Influence of cytochrome P450 and glutathione S transferase polymorphisms on response to nilotinib therapy among chronic myeloidleukemia patients from Pakistan

Background

Cytochrome P450 (CYP) and glutathione S transferases (GSTs) are important biotransforming enzymes responsible for detoxification of anticancer drugs and carcinogens. Polymorphisms in these enzymes may greatly influence the susceptibility to CML and overall efficacy of tyrosine kinase inhibitors. This study was aimed to estimate the possible influence of the polymorphisms of GSTs and CYP in the occurrence of CML as well as in predicting therapeutic outcome of nilotinib therapy in Pakistani CML patients.

Methods

The polymorphic variability in CYP 1A1*2C, GSTP1 (A3131G), GSTT1 and GSTM1 was assessed either by RFLP or multiplex PCR. The BCR ABL1 transcripts were quantified by qPCR to monitor response to nilotinib.

Results

The CYP1A1*2C heterozygous and GSTP1 homozygous polymorphisms seemed to be a contributing factor in developing CML. Altogether, there were 12 non-responders, 66 responders and 21 partial responders. The most frequent genotype was null GSTM1 in responders followed by CYP 1A1 and GSTP1 -wild type (p =  < 0.05). Whereas, homozygous GSTP1 and GSTT1 null genotype is significantly higher only among nilotinib non-responders.

Conclusion

Hence, it can be concluded that wild type CYP1A1, GSTP1 and null GSTM1 may be frequently linked to favorable outcome in patients treated with nilotinib as depicted by sustained deep molecular response in most CML patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09605-1.

Toxicity profile of treatment with PD-1 inhibitors for lung cancer, melanoma and renal cell carcinoma: A real-world Brazilian study

INTRODUCTION

Immunotherapy revolutionized cancer care in the last decade and, notably among its tools, the programmed cell death protein-1 (PD-1) inhibitors. These drugs are related to increased life expectancy rates. However, they can cause several adverse events that have not been fully characterized, thus challenging clinical practice.

OBJECTIVE

To evaluate the toxicity profile, determining its frequency, causality, and severity associated with treatment with PD-1 inhibitors in patients treated at an oncology service in the private health sector in Belo Horizonte.

METHODS

Observational, retrospective, and cross-sectional study, based on the review of electronic medical records. The eligibility criteria included patients over 18 years old with a diagnosis of any cancer and staging, receiving a PD-1 inhibitor from January 2017 to January 2020.

RESULTS

The sample consisted of 134 patients with lung cancer (46,3%), melanoma (34,3%), and kidney cancer (19,4%). The most common adverse event (AE) related to treatment were fatigue (51.5%), anorexia (23.1%), hypothyroidism (15.7%), and skin rash (14.9%), being grades 1 and 2 more prevalent. Between 3 and 12 months, there were more cutaneous, nutritional, and metabolic toxicities, and fatigue was present throughout the entire treatment period. Gastrointestinal and pulmonary toxicities were more frequent up to the 9th month.

CONCLUSION

Based on real-world evidence, it was possible to reveal important findings to support the safe practice of PD-1 inhibitors treatment. Fatigue was the most prevalent AE among patients. In addition, the kinetics of AE allowed the identification of major occurrences according to the period o treatment, allowing more precise monitoring and surveillance.

Potential key roles of tumour budding: a representative malignant pathological feature of non-small cell lung cancer and a sensitive indicator of prognosis

OBJECTIVES

To investigate the relationship between tumour budding, clinicopathological characteristics of patients and prognosis in non-small cell lung cancer.

STUDY DESIGN

A retrospective study was used.

PARTICIPANTS

We selected 532 patients with non-small cell lung cancer from China, including 380 patients with adenocarcinoma and 152 with squamous cell carcinoma.

PRIMARY AND SECONDARY OUTCOME MEASURES

Tumour budding was visible using H&E staining as well as pancytokeratin staining. The count data and measurement data were compared using the χ² test and the t-test, respectively. The overall survival rate was the follow-up result. The survival curves were drawn using the Kaplan-Meier method, and the differences between groups were analysed using the log-rank method. The independent prognostic factor of patients with lung cancer was determined using a multivariate Cox proportional hazard model.

RESULTS

In patients with lung adenocarcinoma, there was a correlation between tumour budding and spread through air spaces (OR 36.698; 95% CI 13.925 to 96.715; p<0.001), and in patients with squamous cell carcinoma, tumour budding state was closely related to the peritumoural space (OR 11.667; 95% CI 4.041 to 33.683; p<0.001). On Cox regression analysis, multivariate analysis showed that tumour budding, pleural and vascular invasion, spread through air spaces, tumour size, lymph node metastasis, and tumour node metastasis stage were independent risk factors of prognosis for patients with non-small cell lung cancer.

CONCLUSIONS

As an effective and simple pathological diagnostic index, it is necessary to establish an effective grading system in the clinical diagnosis of lung cancer to verify the value of tumour budding as a prognostic indicator. We hope that this analysis of Chinese patients with non-small cell lung cancer can provide useful reference material for the continued study of tumour budding.

Predictive value of tumor mutational burden for immunotherapy in non-small cell lung cancer: A systematic review and meta-analysis

Background

Immunotherapy has emerged as a promising treatment for non-small cell lung cancer (NSCLC). Yet, some patients cannot benefit from immunotherapy, and reliable biomarkers for selecting sensitive patients are needed. Herein, we performed a meta-analysis to evaluate the predictive value of tumor mutational burden (TMB) in NSCLC patients treated with immunotherapy.

Methods

Eligible studies were comprehensively searched from electronic databases prior to August 31, 2021. Meta-analyses of high TMB versus low TMB as well as immunotherapy versus chemotherapy in patients with high/low TMB were conducted. Hazard ratio (HR) with corresponding 95% confidence interval (95%CI) for progression-free survival (PFS) and overall survival (OS) and odds ratio (OR) with 95%CI for objective response rate (ORR) were calculated.

Results

A total of 31 datasets (3437 patients) and 6 randomized controlled trials (3662 patients) were available for meta-analyses of high TMB versus low TMB and immunotherapy versus chemotherapy, respectively. High TMB predicted significantly favorable PFS (HR = 0.54, 95%CI: 0.46–0.63, P<0.001) and OS (HR = 0.70, 95%CI: 0.57–0.87, P = 0.001), and higher ORR (OR = 3.14, 95%CI: 2.28–4.34, P<0.001) compared with low TMB. In patients with high TMB, immunotherapy was associated with improved PFS (HR = 0.62, 95%CI: 0.53–0.72), OS (HR = 0.67, 95%CI: 0.57–0.79) and ORR (OR = 2.35, 95%CI: 1.74–3.18) when compared with chemotherapy. However, in patients with low TMB, immunotherapy seemed to predict inferior PFS (HR = 1.20, 95%CI: 1.02–1.41) and ORR (OR = 0.61, 95%CI: 0.44–0.84) and have no OS benefit (HR = 0.88, 95%CI: 0.74–1.05) as compared with chemotherapy.

Conclusion

This meta-analysis demonstrates more clinical benefits concerning treatment response and survival outcomes in high-TMB NSCLC patients who are treated with immunotherapy. TMB is a promising biomarker for discriminating NSCLC patients who can benefit more from immunotherapy.

Viral infections and the efficacy of PD-(L)1 inhibitors in virus-related cancers: Head and neck squamous cell carcinoma and hepatocellular carcinoma

PURPOSE

This study aimed to test the interaction between viral infections and immune checkpoint inhibitor (ICI) efficacy for two virus-associated tumors, head and neck squamous carcinoma (HNSCC) and hepatocellular carcinoma (HCC), by conducting a systematic review and meta-analysis.

METHODS

We searched databases from inception until December 30, 2020 to identify phase 2 or 3 randomized clinical trials involving ICI treatments with data on hazard ratios (HRs) for survival according to viral infection status. We evaluated the heterogeneity between patients with and without viral infections using an interaction test. Subgroup analyses were conducted to explore variations in the efficacy of immunotherapy according to viral infection status.

RESULTS

Six phase 3 trials with 3672 patients (1382 with viral infections [38%] and 2115 without viral infections [57%]) were included. Among these patients, the pooled HR for survival was 0.69 (95% confidence interval [CI], 0.60-0.79) for those with viral infections and 0.84 (95% CI, 0.77-0.91) for those without infections after ICI treatment. Patients with viral infections achieved a better prognosis after ICI therapy than those without infections (P = 0.018). This was evident in patients with hepatitis B virus-associated HCC (P = 0.016), but not in patients with hepatitis C virus-associated HCC (P = 0.081) or in patients with human papillomavirus-positive HNSCC (P = 0.67).

CONCLUSION

Patients with advanced HNSCC and HCC, regardless of viral infection status, could benefit from ICI treatment. Patients with hepatitis B virus-associated HCC were more likely to benefit from ICI treatment than patients without viral infections.

REGISTRATION

Our systematic review protocol was registered with the International Prospective Register of Systematic Reviews on March 27, 2020 (registration number CRD42020155326).

Construction of a 5 immune-related lncRNA-based prognostic model of NSCLC via bioinformatics

Participate in tumorigenic, oncogenic, and tumor suppressive pathways through gene expression regulation. We aimed to build an immune-related long noncoding RNA (lncRNA) prognostic model to enhance nonsmall cell lung cancer (NSCLC) prognostic prediction.The original data were collected from the cancer genome atlas database. Perl and R software were used for statistical analysis. The effects of lncRNAs expression on prognosis were analyzed by Gene Expression Profiling Interactive Analysis. Silico functional analysis were performed by DAVID Bioinformatics Resources.The median risk score as a dividing value separated patients into high- and low-risk groups. These 2 groups had different 5-year survival rates, median survival times, and immune statuses. The 5-lncRNA signature was validated as an independent prognostic factor with high accuracy (area under the receiver operating characteristic = 0.722). Silico functional analysis connected the lncRNAs with immune-related biological processes and pathways in carcinogenesis.The novel immune-related lncRNA prognostic model had significant clinical implication for enhancing lung adenocarcinoma outcome prediction and guiding the choice of treatment.

Adenocarcinoma of High-Grade Patterns Associated with Distinct Outcome of First-Line Chemotherapy or EGFR-TKIs in Patients of Relapsed Lung Cancer

Purpose

High-grade patterns (micropapillary/solid/complex gland) are associated with a higher recurrence rate and shorter disease-free survival. Thus far, it remains unclear whether the efficacy of first-line anticancer therapy is different from that of the other adenocarcinoma subgroups for patients with high-grade patterns. The study aimed to investigate the association between an adenocarcinoma with high-grade patterns with the outcomes of first-line treatment in patients with lung cancer.

Patients and Methods

Patients with a high-grade pattern adenocarcinoma (more than 20% of micropapillary/solid components/complex glandular patterns) were retrospectively analyzed between June 2015 and June 2017. Patients’ clinical characteristics and treatment outcomes were compared with those of the remaining control adenocarcinoma subgroups.

Results

In total, 239 patients with adenocarcinoma, including 115 (48.1%) high-grade patterns and 124 (51.9%) control groups, were enrolled. Patients’ clinical characteristics such as age, sex, smoking status, and stage were similar between the two groups. Among them, 108 patients received first-line chemotherapy, and 131 received epidermal growth factor receptor–tyrosine kinase inhibitors (EGFR-TKIs). In the chemotherapy group, adenocarcinoma of high-grade patterns had a significantly lower objective response rate (ORR; 15.6% vs 36.4%, P=0.045), shorter progression-free survival (PFS; median 4.1 vs 5.4 months, P=0.007) and overall survival (OS, median 19.6 vs 23.8 months, P=0.048) compared with the control group. As for these treated with EGFR-TKIs, a similar ORR (70.7% vs 72.1%, P=0.703), PFS (median 11.3 vs 13.9 months, P=0.065) and OS (median 34.1 vs 29.6%, p=0.575) were observed between these two groups.

Conclusion

An adenocarcinoma with high-grade patterns is associated with inferior outcomes to first-line chemotherapy in relapsed lung cancer. Patients who received chemotherapy had a significantly shorter PFS and OS and lower ORR than control subjects, while there was no difference in the EGFR-TKI cohort. This study is the first to report the distribution of adenocarcinoma with high-grade patterns.

Bioinformatics analysis and experimental validation of TTK as a biomarker for prognosis in non-small cell lung cancer

Background: Despite the prominent development of medical technology in recent years, the prognosis of non-small cell lung cancer (NSCLC) is still not optimistic. It is crucial to identify more reliable diagnostic biomarkers for the early diagnosis and personalized therapy of NSCLC and clarify the molecular mechanisms underlying NSCLC progression.

Methods: In the present study, bioinformatics analysis was performed on three datasets obtained from the Gene Expression Omnibus to identify the NSCLC-associated differentially expressed genes (DEGs). Immunohistochemistry-based tissue microarray of human NSCLC was used to experimental validating the potential targets obtained from bioinformatics analysis.

Results: By using protein–protein interaction (PPI) network analysis, Kaplan–Meier plotter, and Gene Expression Profiling Interactive Analysis, we selected 40 core DEGs for further study. Then, a re-analysis of 40 selected genes via Kyoto Encyclopedia of Genes and Genomes pathway enrichment showed that nine key genes involved in the cell cycle and p53 signaling pathway participated in the development of NSCLC. Then, we checked the protein level of nine key genes by semi-quantitative of IHC and checked the distribution at a single-cell level. Finally, we validated dual-specificity protein kinase TTK as a biomarker for prognosis in a tissue microarray. High TTK expression associated with a higher histological stage, advanced TNM stage, high frequency of positive lymph nodes, and worse 5-year overall survival.

Conclusions: We found nine key genes were enriched in the cell cycle and p53 signaling pathway. TTK could be considered as a potential therapeutic target and for the prognosis biomarker of NSCLC. These findings will provide new insights for the development of individualized therapeutic targets for NSCLC.

The efficacy and safety of combination therapy with immune checkpoint inhibitors in non-small cell lung cancer: A meta-analysis

PURPOSE

Combination therapies with immune checkpoint blockade demonstrate promising antitumor activity and safety in Non-small Cell Lung Cancer (NSCLC). However, whether the combination therapy is superior to their monotherapies, and which combination regimen is most efficacious remain unknown. This meta-analysis aims to synthesize the current available evidences on the efficacy and safety of combination immunotherapy in patients with NSCLC.

METHODS

PubMed, Embase and Cochrane Library were searched. Randomized controlled trials (RCTs) investigating combination therapy with immune checkpoint inhibitors in NSCLC were included.

RESULTS

We identified nine RCTs including a total of 5,142 patients. The study showed that the pooled hazard ratios (HRs) of overall survival (OS) and progression-free survival (PFS) for combination therapy were 0.74 (95% CI: 0.63-0.86, p = 0.001) and 0.65 (95% CI: 0.56-0.73, p = 0.004); the pooled odds ratios (ORs) of objective response rates (ORRs) and grade 3 or higher adverse events (AEs) were 1.51 (95% CI: 1.02-1.99, p < 0.001) and 1.30 (95% CI: 1.03-1.57, p = 0.007). Subgroup analysis showed that the OR of grade 3 or higher AEs for immunotherapy plus chemotherapy was higher than that of chemotherapy alone, but did not reach statistical significance (p = 0.061) , and there was PFS and OS benefit for either immunotherapy plus chemotherapy, double agent immunotherapy or immunotherapy plus targeted plus chemotherapy combination regimens.

CONCLUSIONS

Combination therapy with immune checkpoint inhibitors showed more clinical benefit for patients with NSCLC, with increased grade 3 or higher AEs, but toxicities were manageable.

The Incidence and Risk Analysis of Lung Cancer Development in Patients with Chronic Obstructive Pulmonary Disease: Possible Effectiveness of Annual CT-Screening

Purpose

Lung cancer is a serious complication in patients with chronic obstructive pulmonary disease (COPD) and accounts for approximately 15% of deaths in patients with COPD. However, with the exception of emphysema, few reports to date have been published on the factors that predict lung cancer development in COPD patients. It has been reported that patients with COPD develop lung cancer at a rate of 0.8% - 1.7%/year, but the incidence may be higher in the Japanese population. Therefore, we investigated the incidence of lung cancer and the lung cancer mortality rate in Japanese COPD patients, as well as factors that are associated with the development of lung cancer in COPD patients.

Patients and Methods

We followed up 224 patients with stable COPD and performed CT examinations at least once per year. The incidence of lung cancer was recorded and data at enrollment were compared with data of the group that did not develop lung cancer.

Results

Over a median follow-up period of 4.58 years, lung cancer was newly diagnosed in 19 patients; the incidence of lung cancer in this population was 1.85%/year. Patients who developed lung cancer had more severe emphysema assessed by CT and GOLD classification and were more likely to be current smokers than those who did not develop lung cancer. No other significant differences were observed between these two groups. Mortality was significantly increased in patients who developed lung cancer compared with those who did not.

Conclusion

In COPD patients, the incidence of lung cancer is higher and the development of lung cancer worsens the prognosis; however, lung cancer development is unpredictable and attention should be paid to all patients. Annual CT screening is important for early detection of lung cancer.

Recognizing Prognostic and Predictive Biomarkers in the Treatment of Non-Small Cell Lung Cancer (NSCLC) with Immune Checkpoint Inhibitors (ICIs)

Immunotherapy plays a central role in the treatment of NSCLC and biomarkers predicting response to ICIs are valuable therapeutic tools. Programmed death-ligand 1 (PD-L1) immunohistochemistry (IHC) is integral in therapy selection as its positive predictive nature to ICIs in the metastatic setting is well documented. Tumor mutational burden (TMB) has undergone much study and, while results are somewhat mixed, there is evidence for its positive predictive value with ICI use. Additional markers such as tumor-infiltrating lymphocytes (TILs), gene expression profiling (GEP), mismatch repair (MMR) and microsatellite instability (MSI), somatic mutations, neutrophil to leukocyte ratio (NLR), smoking history, medication history, and immune-related adverse event (irAE) development can further guide clinicians.

Optimizing therapy sequence to prevent patient attrition in EGFR mutation-positive advanced or metastatic NSCLC

Clinical trial and real-world data in non-small-cell lung cancer indicate that 10-60% of patients that progressed on first- or second-generation EGFR-targeting tyrosine kinase inhibitors (TKI) do not receive systemic second-line therapy. In our article, we discuss efficacy, safety and treatment duration with different EGFR-TKIs and stress the need for delivery of the most efficacious therapy in the first-line. We also provide our perspective on analysis of circulating tumor DNA and the role of EGFR-TKI in combined therapies. Finally, we review new therapeutic options to overcome resistance to EGFR-TKI. We believe that overall treatment duration and access to different medications in subsequent lines of therapy should be considered when planning the optimal treatment strategy.

Efficacy and safety of combined immunotherapy and antiangiogenic therapy for advanced non-small cell lung cancer: A two-center retrospective study

BACKGROUND

The synergistic effects of immunotherapy and antiangiogenic therapy in advanced non-small cell lung cancer (NSCLC) have been reported in both preclinical and clinical trials. Herein, we evaluated the preliminary efficacy and safety of combined immunotherapy and antiangiogenic therapy in patients with previously treated advanced NSCLC in a real-world setting.

METHODS

We conducted a 2-center, retrospective study of previously treated advanced NSCLC patients who received any anti-programmed death-1 antibody combined with antiangiogenic agent between May 2018 and March 2020.

RESULTS

In total, 57 patients were included in this study, and the objective response rate and disease control rate were 19.3% and 63.2%, respectively. The median progression-free survival (PFS) was 4.2 months (95% confidence interval [CI]: 3.2-5.2 months). Bone metastases (odds ratio [OR] not available; P < .01) and ≥ 3 treatment lines (OR 6.8; 95% CI: 1.6-29.6; P < .05) were independent negative predictors of objective response. Additionally, liver metastases (hazard ratio [HR] 3.7; 95% CI: 1.6-8.5; P < 0.01), poor performance status score (PS) (HR 3.4; 95% CI: 1.6-7.5; P < 0.01) and ≥ 3 treatment lines (HR 3.5; 95% CI: 1.7-7.4; P < 0.01) were found to be negative predictors of PFS. Eighty-nine percent of the patients experienced an adverse event.

CONCLUSIONS

Metastatic sites (bone and liver), ≥3 treatment lines and poor PS were potential negative predictors of the efficacy of immunotherapy combined with antiangiogenic therapy for treating NSCLC. Further investigations and randomized controlled trials are needed.

MiR-1471 protects the aggravation of non-small-cell lung carcinoma by targeting FOXL1

This study detected the expression pattern of miR-1471 in non-small-cell lung cancer (NSCLC) tissues, and analyzed the prognostic significance of miR-1471 in NSCLC. Subsequently, potential targets of miR-1471 were screened for assessing the potential molecular mechanism in NSCLC. A total of 47 primary NSCLC cases treated by radical resection and systematic lymphadenectomy in the department of thoracic surgery were collected, as well as their clinical data. MiR-1471 levels in NSCLC tissues were detected by quantitative real-time polymerase chain reaction. The prognostic potential of miR-1471 in NSCLC was assessed by Kaplan-Meier method, followed by log-rank test. Potential target genes of miR-1471 and the binding sites were predicted by bioinformatics analysis, and screened for the optimal one. The binding relationship between miR-1471 and the target FOXL1 was examined by dual-luciferase reporter assay. Subsequently, biological functions of miR-1471 and FOXL1 in NSCLC cell functions were explored by cell counting kit-8 (CCK-8), 5-ethynyl-2'-deoxyuridine (EdU) assay and flow cytometry. MiR-1471 was downregulated in NSCLC tissues and its level was correlated to TNM staging in NSCLC patients. Overall survival was poor in NSCLC patients expressing low level of miR-1471. Overexpression of miR-1471 attenuated proliferative ability and arrested cell cycle progression in G1/S phase. FOXL1 was confirmed to be the target gene binding miR-1471. Its expression pattern and biological functions in NSCLC cells were contrary to those of miR-1471. MiR-1471 is downregulated in NSCLC samples, which is related to TNM staging and prognosis in NSCLC patients. Therefore, miR-1471 suppresses the malignant aggravation of NSCLC via inhibiting the translation of FOXL1 mRNA. In addition, it could be used as an effective biomarker for predicting the prognosis in NSCLC.

Analyses of multi-omics differences between patients with high and low PD1/PDL1 expression in lung squamous cell carcinoma

BACKGROUND

Immunotherapy has achieved excellent results in patients with lung squamous cell carcinoma. However, in which population it can exert the greatest effect is still unknown. Some studies have suggested that its effect is related to the expression level of PD1. Analyzing the relationship between PD1 expression level and genetic differences in lung squamous cell carcinoma patients will be helpful in understanding the underlying causes of this immunotherapy effect and provide a reference for clinical practice.

METHODS

In this study, we used RNA-seq, miRNA-seq, methylation array, mutation profiles, and copy number variation data from the TCGA database and RNA-seq data from the GEO database to analyze the distinctive genomic patterns associated with PD1 and PDL1 expression. RNA-seq data from 44 LUSC patients who underwent surgery at Zhongshan Hospital were also included in the study.

RESULTS

After grouping LUSC patients according to the expression levels of PD1 and PDL1, we found no significant difference in survival between the two groups. However, 178 genes, including IL-21, KLRC3, and KLRC4, were significantly upregulated in both the TCGA and GEO databases in the high expression group, and there was a precise correlation between gene expression and epigenetic changes in the two groups. At the same time, the overall level of somatic mutations was not significantly different between the two groups. It is worth noting that the gene enrichment results showed that the differential pathways were mainly enriched in immune regulation, especially T cell-related immune activities.

CONCLUSION

We found that the differences in gene expression between the two groups were related to immunity, which may affect the effectiveness of immunotherapy. We hope our results can provide a reference for further research and help in finding other targets to improve the efficacy of immunotherapy.

Spatial Variation in Lung Cancer Mortality and Related Men-Women Disparities in Iran from 2011 to 2014

Purpose

Lung cancer is considered as a common cause of cancer mortality. The disease represents the second and third causes of deaths from cancer among Iranian women and men, respectively. The present study aimed to evaluate the spatial variations in relative risk of lung cancer mortality in Iran and its relation to common risk factors between men and women and specific risk factors among women.

Methods

In this ecological study, the lung cancer mortality data were analyzed in Iran during 2011–2014. Besag, York, and Mollie’s (BYM) model and shared component model (SCM) were used to compare the spatial variations of the relative risk of lung cancer mortality by applying OpenBUGS version 3.2.3 and R version 3.6.1.

Results

The median age for death due to lung cancer in Iran is 74 years. During 2011–2014, the age-standardized lung cancer mortality rates among men and women were 12 and 5 per 100,000 individuals, respectively. In addition, almost similar spatial patterns were observed for both men and women. Further, risk factors, which are shared between men and women, were considered as the main cause of variation of lung cancer mortality relative risk in the regions under study for both men and women. The highest impact of the women-specific risk factors was estimated in northeastern and southwestern of the country while the lowest was related to Gilan province in northern part of Iran.

Conclusion

Based on the spatial pattern, lung cancer risk factors are at relatively high levels in most parts of Iran, especially in the northwest of the country. Regarding the women, the high-risk regions were considerably extended. Further, the highest concentration of the specific risk factors among women was observed in the eastern, central, and southwestern parts. The smoking effect, and the second-smoking effect and environmental pollutions could play more significant roles for men and women, respectively.

Association of PD-L1 gene rs4143815 C>G polymorphism and human cancer susceptibility: A systematic review and meta-analysis

Programmed death ligand 1(PD-L1) mediated immune escape play important roles in the development of cancer. The gene polymorphism of PD-L1, in particular rs4143815 C > G, has been associated with the cancer risks, but with conflicting results. Therefore, this meta-analysis was aimed to assess the association between rs4143815 C > G and cancer susceptibility. A systematic literature search was performed to select the studies and the pooled odds ratio (OR) with 95% confidence interval (CI) was used to evaluate the strength of association. Eleven eligible studies containing 3711 cases and 3704 controls were enrolled in the meta-analysis. The results suggested that there is a strong association between rs4143815 C > G and the cancer risks (G vs. C: OR = 1.386, 95% CI: 1.132-1.696, p = 0.002; GG vs. CG + CC: OR = 1.843 95% CI: 1.300-2.613, p = 0.002; GG + CG vs. CC: OR = 1.280, 95% CI: 1.040-1.576, p = 0.020). Subgroup analysis based on cancer type suggested that PD-L1 rs4143815 C > G might increase the susceptibility to gastric cancer (G vs. C: OR = 1.842, 95% CI: 1.403-2.418, p < 0.001) and bladder cancer (G vs. C: OR = 2.015, 95% CI: 1.556-2.608, p < 0.001), and genotype GG carriers of PD-L1 rs4143815 C > G might have higher risks of HCC (GG vs. CG + CC: OR = 2.226 95% CI: 1.562-3.172, p < 0.001). PD-L1 rs4143815 C > G might confer an increased cancer risk, indicating this SNP may contribute to the pathogenesis of cancer and might be used as a potential biomarker to predict the susceptibility to cancer.

Distribution of KRAS, DDR2, and TP53 gene mutations in lung cancer: An analysis of Iranian patients

Purpose

Lung cancer is the deadliest known cancer in the world, with the highest number of mutations in proto-oncogenes and tumor suppressor genes. Therefore, this study was conducted to determine the status of hotspot regions in DDR2 and KRAS genes for the first time, as well as in TP53 gene, in lung cancer patients within the Iranian population.

Experimental design

The mutations in exon 2 of KRAS, exon 18 of DDR2, and exons 5–6 of TP53 genes were screened in lung cancer samples, including non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) using PCR and sequencing techniques.

Results

Analysis of the KRAS gene showed only a G12C variation in one large cell carcinoma (LCC) patient, whereas variants were not found in adenocarcinoma (ADC) and squamous cell carcinoma (SCC) cases. The Q808H variation in the DDR2 gene was detected in one SCC sample, while no variant was seen in the ADC and LCC subtypes. Variations in the TP53 gene were seen in all NSCLC subtypes, including six ADC (13.63%), seven SCC (15.9%) and two LCC (4.54%). Forty-eight variants were found in the TP53 gene. Of these, 15 variants were found in coding regions V147A, V157F, Q167Q, D186G, H193R, T211T, F212L and P222P, 33 variants in intronic regions rs1625895 (HGVS: c.672+62A>G), rs766856111 (HGVS: c.672+6G>A) and two new variants (c.560-12A>G and c.672+86T>C).

Conclusions

In conclusion, KRAS, DDR2, and TP53 variants were detected in 2%, 2.17% and 79.54% of all cases, respectively. The frequency of DDR2 mutation is nearly close to other studies, while KRAS and TP53 mutation frequencies are lower and higher than other populations, respectively. Three new putative pathogenic variants, for the first time, have been detected in Iranian patients with lung cancer, including Q808H in DDR2, F212L, and D186G in coding regions of TP53. In addition, we observed five novel benign variants, including Q167Q, P222P and T211T in coding sequence, and c.560-12A>G and c.672+86T>C, in intronic region of TP53. Mutations of KRAS and DDR2 were found in LCC and SCC subtypes, respectively, whereas mutations of TP53 were seen in SCC and ADC subtypes with higher frequencies and LCC subtype with lower frequency. Therefore, Iranian lung cancer patients can benefit from mutational analysis before starting the conventional treatment. A better understanding of the biology of these genes and their mutations will be critical for developing future targeted therapies.