Squamous-cell carcinoma of the lungs: Is it really so different?

Histological types of lung cancer attributable to fine particulate, smoking, and genetic susceptibility

BACKGROUND

Fine particulate matter (PM_2.5), smoking, and genetic factors are associated with lung cancer. However, the relationship between PM_2.5, smoking and subtypes of lung cancer remains unclear. Moreover, it is unclear whether genetic risk modifies the impact of PM_2.5 and smoking on incident lung cancer.

METHODS

A total of 298,069 participants from the UK Biobank study without lung cancer at baseline were included in this study. Hazard ratios (HRs) with 95 % confidence intervals (CIs) were estimated using multivariable Cox proportional models for the association of lung cancer and its subtypes with PM_2.5, smoking, and genetic risk. Potential gene-smoking or gene-PM_2.5 interactions were also estimated. We further estimated population attributable fractions for incident lung cancer.

RESULTS

During 10.4 years of follow-up, 1683 incident lung cancer cases were identified. Our analysis found that genetic variants, smoking, and PM_2.5 were significantly associated with incident lung cancer. For different histological types of lung cancer, the HRs for squamous cell lung carcinoma associated with PM_2.5 (per 5 μg/m³ increment) and current smoking were 2.76 (95 % CI: 1.72, 4.42, p < 0.001) and 48.64 (95 % CI: 27.96, 84.61, p < 0.001), while the HRs for lung adenocarcinoma were 1.59 (95 % CI: 1.13, 2.23, p < 0.001) and 9.89 (95 % CI: 7.91, 12.36, p < 0.001), respectively. We further found that participants with high levels of PM_2.5 pollution and high genetic risk had the highest risk of incident lung cancer (HR = 1.81, 95 % CI: 1.39, 2.35, p < 0.001), while the interaction between PM_2.5 and genetic risk was not statistically significant. We observed that the population attributable fractions of lung cancer attributable to current smoking and high PM_2.5 exposure were estimated to be 67.45 % and 17.59 %.

CONCLUSION

Genetic susceptibility, smoking, and PM_2.5 are important risk factors for lung cancer. Both smoking and PM_2.5 are more closely associated with an elevated risk of squamous cell lung cancer.

Development and Validation of a Prediction Model for Positive Findings of Preoperative Flexible Bronchoscopy in Patients with Peripheral Lung Cancer

(1) Background: It has yet to be determined whether preoperative flexible bronchoscopy (FB) should be routinely performed in patients with peripheral lung cancer. The aim of this study was to construct a model to predict the probability of positive FB findings, which would help assess the necessity of preoperative FB. (2) Methods: A total of 380 consecutive patients with peripheral lung cancer who underwent preoperative FB were recruited for this study. A prediction model was developed through univariate and multivariate logistic regression, with predictors including gender, age, body mass index (BMI), smoking, history of chronic lung diseases, respiratory symptoms, lesion size, lesion type, lesion location in the bronchi, and lesion location in the lobe. The predictive performance of the model was evaluated by validation using 1000 iterations of bootstrap resampling. Model discrimination was assessed using the area under the receiver operating characteristics curve (AUC), and calibration was assessed using the Brier score and calibration plots. (3) Results: The model suggested that male patients with respiratory symptoms, decreased BMI, solid lesions, and lesions located in lower-order bronchi were more likely to have positive FB findings. The AUC and Brier score of the model for internal validation were 0.784 and 0.162, respectively. The calibration curve for the probability of positive FB findings showed convincing concordance between the predicted and actual results. (4) Conclusions: Our prediction model estimated the pretest probability of positive FB findings in patients with peripheral lung cancers. Males and patients with lower BMI, the presence of respiratory symptoms, larger lesions, solid lesions, and lesions located in lower-order bronchi were associated with increased positive FB findings. The use of our model can be of assistance when making clinical decisions about preoperative FB.

Identification and Validation of Prognostic Markers for Lung Squamous Cell Carcinoma Associated with Chronic Obstructive Pulmonary Disease

Background

Globally, the incidence and associated mortality of chronic obstructive pulmonary disease (COPD) and lung carcinoma are showing a worsening trend. There is increasing evidence that COPD is an independent risk factor for the occurrence and progression of lung carcinoma. This study aimed to identify and validate the gene signatures associated with COPD, which may serve as potential new biomarkers for the prediction of prognosis in patients with lung carcinoma.

Methods

A total of 111 COPD patient samples and 40 control samples were obtained from the GSE76925 cohort, and a total of 4933 genes were included in the study. The weighted gene coexpression network analysis (WGCNA) was performed to identify the modular genes that were significantly associated with COPD. The KEGG pathway and GO functional enrichment analyses were also performed. The RNAseq and clinicopathological data of 490 lung squamous cell carcinoma patients were obtained from the TCGA database. Further, univariate Cox regression and Lasso analyses were performed to screen for marker genes and construct a survival analysis model. Finally, the Human Protein Atlas (HPA) database was used to assess the gene expression in normal and tumor tissues of the lungs.

Results

A 6-gene signature (DVL1, MRPL4, NRTN, NSUN3, RPH3A, and SNX32) was identified based on the Cox proportional risk analysis to construct the prognostic RiskScore survival model associated with COPD. Kaplan–Meier survival analysis indicated that the model could significantly differentiate between the prognoses of patients with lung carcinoma, wherein higher RiskScore samples were associated with a worse prognosis. Additionally, the model had a good predictive performance and reliability, as indicated by a high AUC, and these were validated in both internal and external sets. The 6-gene signature had a good predictive ability across clinical signs and could be considered an independent factor of prognostic risk. Finally, the protein expressions of the six genes were analyzed based on the HPA database. The expressions of DVL1, MRPL4, and NSUN3 were relatively higher, while that of RPH3A was relatively lower in the tumor tissues. The expression of SNX32 was high in both the tumor and paracarcinoma tissues. Results of the analyses using TCGA and GSE31446 databases were consistent with the expressions reported in the HPA database.

Conclusion

Novel COPD-associated gene markers for lung carcinoma were identified and validated in this study. The genes may be considered potential biomarkers to evaluate the prognostic risk of patients with lung carcinoma. Furthermore, some of these genes may have implications as new therapeutic targets and can be used to guide clinical applications.

Factors leading to the risk of stroke mortality: a cross-sectional study with lung cancer patient-based large sample

To identify the risk factors for stroke mortality among lung cancer patients on the basis of the Surveillance, Epidemiology, and End Results (SEER) database. The clinical data of lung cancer patients diagnosed between 2004 and 2016 were collected in the SEER database. The stroke mortality of lung cancer patients was compared with the general population using standardized mortality ratios (SMRs). COX proportional hazard model was applied to analyze the risk factors for stroke mortality among lung cancer patients. Among 82 454 patients, 4821 (5.85%) died of stroke. The stroke mortality rate in lung cancer patients significantly increased compared with the general population [SMR: 1.73, 95% confidential interval (95% CI), 1.69-1.78]. Differences were pronounced between the patients with stroke death and those without regarding all the basic characteristics (P < 0.001). Multivariate COX analysis showed that the risk factors for stroke mortality among lung cancer patients included increasing age, males, the black, grade II-III, distant metastasis and higher American Joint Committee on Cancer (AJCC) TNM stage, whereas adenocarcinoma was found to be a protective factor compared with squamous cell carcinoma. Increasing age, males, the black, grade II-III, distant metastasis and higher TNM stage are associated with an increased risk of stroke mortality among lung cancer patients, but adenocarcinoma with a lowered risk.

Salivary Metabolic Profile of Patients with Lung Cancer, Chronic Obstructive Pulmonary Disease of Varying Severity and Their Comorbidity: A Preliminary Study

The aim of the work was to study the features of the salivary biochemical composition in the combined pathology of lung cancer and chronic obstructive pulmonary disease (COPD) of varying severity (COPD I, COPD II). The study group included patients with lung cancer (n = 392), non-malignant lung pathologies (n = 168) and healthy volunteers (n = 500). Before treatment, the salivary biochemical composition was determined according to 34 indicators. Survival analysis performed by the Kaplan-Meier method. Biochemical parameters (catalase, imidazole compounds ICs, sialic acids, lactate dehydrogenase (LDH)) that can be used to monitor patients at risk (COPD I) for timely diagnosis of lung cancer are determined. A complex of salivary biochemical indicators with prognostic value in lung cancer was revealed. For patients with lung cancer without COPD, a group of patients with a favorable prognosis can be distinguished with a combination of ICs < 0.478 mmol/L and LDH >1248 U/L (HR = 1.56, 95% CI 0.40–6.07, p = 0.03891). For COPD I, a level of ICs < 0.182 mmol/L are prognostically favorable (HR = 1.74, 95% CI 0.71–4.21, p = 0.07270). For COPD II, combinations of pH < 6.74 and LDH >1006 U/L are prognostically favorable. In general, for patients with lung cancer in combination with COPD I, the prognosis is more favorable than without COPD.

Magnetic particle targeting for diagnosis and therapy of lung cancers

Over the past decade, the growing interest in targeted lung cancer therapy has guided researchers toward the cutting edge of controlled drug delivery, particularly magnetic particle targeting. Targeting of tissues by magnetic particles has tackled several limitations of traditional drug delivery methods for both cancer detection (e.g., using magnetic resonance imaging) and therapy. Delivery of magnetic particles offers the key advantage of high efficiency in the local deposition of drugs in the target tissue with the least harmful effect on other healthy tissues. This review first overviews clinical aspects of lung morphology and pathogenesis as well as clinical features of lung cancer. It is followed by reviewing the advances in using magnetic particles for diagnosis and therapy of lung cancers: (i) a combination of magnetic particle targeting with MRI imaging for diagnosis and screening of lung cancers, (ii) magnetic drug targeting (MDT) through either intravenous injection and pulmonary delivery for lung cancer therapy, and (iii) computational simulations that models new and effective approaches for magnetic particle drug delivery to the lung, all supporting improved lung cancer treatment. The review further discusses future opportunities to improve the clinical performance of MDT for diagnosis and treatment of lung cancer and highlights clinical therapy application of the MDT as a new horizon to cure with minimal side effects a wide variety of lung diseases and possibly other acute respiratory syndromes (COVID-19, MERS, and SARS).

Nanotechnology in the diagnosis and treatment of lung cancer

Lung cancer is an umbrella term for a subset of heterogeneous diseases that are collectively responsible for the most cancer-related deaths worldwide. Despite the tremendous progress made in understanding lung tumour biology, advances in early diagnosis, multimodal therapy and deciphering molecular mechanisms of drug resistance, overall curative outcomes remain low, especially in metastatic disease. Nanotechnology, in particular nanoparticles (NPs), continue to progressively impact the way by which tumours are diagnosed and treated. The unique physicochemical properties of materials at the nanoscale grant access to a diverse molecular toolkit that can be manipulated for use in respiratory oncology. This realisation has resulted in several clinically approved NP formulations and many more in clinical trials. However, NPs are not a panacea and have yet to be utilised to maximal effect in lung cancer, and medicine in a wider context. This review serves to: describe the complexity of lung cancer, the current diagnostic and therapeutic environment, and highlight the recent advancements of nanotechnology based approaches in diagnosis and treatment of respiratory malignancies. Finally, a brief outlook on the future directions of nanomedicine is provided; presently the full potential of the field is yet to be realised. By gleaning lessons and integrating advancements from neighbouring disciplines, nanomedicine can be elevated to a position where the current barriers that stymie full clinical impact are lifted.

Facial Drooping, Aphasia, and an Incidental Lung Mass in a Nonsmoker

BACKGROUND

Atrial fibrillation and atrial flutter are atrial tachycardias associated with embolic strokes. To date, there have only been a few reports highlighting the incidence of these atrial tachycardias due to mechanical compression of myocardial structures and the pulmonary vasculature in certain mediastinal masses and cysts.

CASE

We present a case of a 75-year-old gentleman who is a nonsmoker with a history of hypertension who presents with an acute embolic stroke due to atrial flutter likely from mechanical compression from an underlying squamous cell carcinoma of the lung.

CONCLUSION

This case represents, to the best of our knowledge, a rare case of squamous cell carcinoma of the lung in a nonsmoker likely leading to mechanical compression and a resultant atrial tachycardia with an embolic stroke.

Potential Role of S100A8 in Cutaneous Squamous Cell Carcinoma Differentiation

Background

S100A8 is differentially expressed in various cell types and is associated with a number of malignant disorders. S100A8 may affect tumor biology. However, its role in cutaneous squamous cell carcinoma (SCC) is not well established.

Objective

This study aims to investigate the relationship between S100A8 and cutaneous SCC development.

Methods

We performed immunohistochemical staining to detect S100A8 expression in facial skin specimens of premalignant actinic keratosis (AK), malignant SCC, and normal tissues. In addition, we utilized postconfluence and high calcium-induced differentiation in a culture system model. Furthermore, we constructed a recombinant adenovirus expressing GFP-tagged S100A8 to investigate the role of S100A8 in SCC cell differentiation.

Results

S100A8 was significantly overexpressed in human cutaneous SCC compared to that in normal and AK tissues. S100A8 was gradually upregulated in SCC cells in a post-confluence-induced differentiation model. Overexpression of S100A8 in SCC cells induced by adenoviral transduction led to increased expression levels of differentiation markers, such as loricrin, involucrin, and filaggrin. S100A8 overexpression also increased loricrin and involucrin luciferase activity.

Conclusion

S100A8 regulates cutaneous SCC differentiation and induces well-differentiated SCC formation in skin.

Cytoplasmic expression of maspin predicts unfavourable prognosis in patients with squamous cell carcinoma of the lung

AIMS

Maspin is known to be a tumour suppressor protein, and its prognostic significance in patients with several types of cancer, including lung squamous cell carcinoma (SCC), has been reported. However, its prognostic impact on lung SCC has been controversial. We explored the prognostic value of maspin expression with particular reference to its subcellular localization in patients with lung SCC.

METHODS AND RESULTS

Paraffin-embedded tissue samples from 101 curatively resected patients with lung SCC were analysed immunohistochemically using an antibody for maspin. Maspin positivity was defined as strong expression in only the cytoplasm and observed in 25 patients (24.6%). It correlated significantly with the presence of lymph node metastasis (P = 0.006) and higher pathological stage (P = 0.003). The patients were followed-up for 2-119 months (median: 50 months), and the maspin-positive group had shorter disease-free survival (DFS) and disease-specific survival (DSS) by log-rank test (P = 0.002, P = 0.016, respectively). Multivariate analysis revealed that the status of maspin was the only independent prognostic factor for DFS and DSS (P = 0.017, P = 0.047, respectively).

CONCLUSIONS

Cytoplasmic expression of maspin could be an independent unfavourable prognostic indicator in patients with lung SCC.

The use of corticosteroids in patients with COPD or asthma does not decrease lung squamous cell carcinoma

Background

Asthma and COPD (chronic obstructive pulmonary disease) lead to persistent airway inflammation and are associated with lung cancer. The objective of the study was to assess the relationship between inhaled (ICS) and oral corticosteroid (OCS) use, and risk of lung squamous cell carcinoma (SqCC).

Methods

This study was a nested case–control study. Patients with newly diagnosed asthma or COPD between 2003 and 2010 were identified from the National Health Insurance Database. Cases were defined as patients diagnosed with SqCC after enrollment. For each case, four control individuals who were randomly matched for sex and age and date diagnosis of asthma or COPD were selected.

Results

From the 1,672,455 eligible participants, 793 patients with SqCC were matched with 3,172 controls. The odds ratios (ORs) of SqCC in men who received high and low-dose ICS were 2.18 (95 %CI, 1.56–3.04) and 1.77 (1.22–2.57), respectively. Similarly, the ORs were 1.46 (95 %CI, 1.16–1.84) and 1.55 (95 %CI, 1.22–1.98) for men who were placed on low and high dose OCS. However, there was no significant association between cumulative ICS and/or OCS and risk of SqCC in women. Recent dose increase in corticosteriod was significantly associated with risk of SqCC. Specifically, among men, the ORs for SqCC were 8.08 (95 %CI, 3.22–20.30) for high-dose ICS + OCS, 4.49 (95 % CI, 2.05–9.85) for high-dose ICS, and 3.54 (95 % CI, 2.50–5.01) for high-dose OCS treatments, respectively. The OR for SqCC in women who received high-dose OCS was 6.72 (95 %CI, 2.69–16.81).

Conclusion

Corticosteroid use did not decrease SqCC in patients with asthma or COPD. Recent dose increase in corticosteroids was associated with SqCC.

Immunophenotypic features of metastatic lymph node tumors to predict recurrence in N2 lung squamous cell carcinoma

Patients with mediastinal lymph node metastasis (N2) in squamous cell carcinoma (SqCC) of the lung have poor prognosis after surgical resection of the primary tumor. The aim of this study was to clarify predictive factors of the recurrence of pathological lung SqCC with N2 focusing on the biological characteristics of both cancer cells and cancer-associated fibroblasts (CAFs) in primary and metastatic lymph node tumors. We selected 64 patients with pathological primary lung N2 SqCC who underwent surgical complete resection and investigated the expressions of four epithelial–mesenchymal transition-related markers (caveolin, clusterin, E-cadherin, ZEB2), three cancer stem cell-related markers (ALDH-1, CD44 variant6, podoplanin) of cancer cells, and four markers of CAFs (caveolin, CD90, clusterin, podoplanin) in both primary and matched metastatic lymph node tumors in the N2 area. In the primary tumors, the expressions of all the examined molecules were not related to recurrence. However, in the metastatic lymph node tumors, high clusterin and ZEB2 expressions in the cancer cells and high podoplanin expression in the CAFs were significantly correlated with recurrence (P = 0.03, 0.04, and 0.007, respectively). In a multivariate analysis, only podoplanin expression in the CAFs in metastatic lymph node tumors was identified as a significantly independent predictive factor of recurrence (P = 0.03). Our study indicated that the immunophenotypes of both cancer cells and CAFs in metastatic lymph node tumors, but not primary tumors, provide useful information for predicting the recurrence of pathological N2 lung SqCC.