Clinicopathological characteristics of lung cancer in patients with systemic sclerosis

Causes and predictors of death among Finnish patients with systemic sclerosis

OBJECTIVE

The aim of this study was to assess causes and predictors of death among Finnish patients with systemic sclerosis (SSc).

METHOD

Medical records of patients registered with the ICD-10 code M34 from 1996 to 2018 in two university hospitals were reviewed retrospectively. Clinical data were collected until the end of 2020. Death certificates were obtained from Statistics Finland up to August 2021. Using death certificates and patient records, the cause of death for each patient was determined. The mean age at death, median time from SSc diagnosis, and factors predicting death were analysed.

RESULTS

Among 313 SSc patients, 91 deaths occurred between April 2000 and September 2020. Overall 5 and 10 year survival rates were 88.4% and 80.2%, respectively. SSc was the most common primary cause of death (n = 35) and interstitial lung disease (ILD) was the most common SSc-related cause of death (n = 13). Moreover, 52% of the patients with diffuse SSc and 33% of those with limited cutaneous SSc died as a result of SSc itself. Patients who died because of SSc were significantly younger [mean ± sd age 65.6 ± 12.7 years, 95% confidence interval (CI) 61.2-70.1] than those who died from other causes (74.2 ± 9.6 years, 95% CI 71.5-76.9) (p = 0.0006). ILD, pulmonary arterial hypertension, gastrointestinal involvement, male gender, and older age at disease onset predicted death.

CONCLUSION

The disease itself was the major cause of death among Finnish SSc patients, in both diffuse and limited forms of SSc.

Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes

In the last decade, research on acute respiratory distress syndrome (ARDS) has made considerable progress. However, ARDS remains a leading cause of mortality in the intensive care unit. ARDS presents distinct subphenotypes with different clinical and biological features. The pathophysiologic mechanisms of ARDS may contribute to the biological variability and partially explain why some pharmacologic therapies for ARDS have failed to improve patient outcomes. Therefore, identifying ARDS variability and heterogeneity might be a key strategy for finding effective treatments. Research involving studies on biomarkers and genomic, metabolomic, and proteomic technologies is increasing. These new approaches, which are dedicated to the identification and quantitative analysis of components from biological matrixes, may help differentiate between different types of damage and predict clinical outcome and risk. Omics technologies offer a new opportunity for the development of diagnostic tools and personalized therapy in ARDS. This narrative review assesses recent evidence regarding genomics, proteomics, and metabolomics in ARDS research.

Systemic Sclerosis Association with Malignancy

The association of systemic sclerosis (SSc) and cancer is well known from several decades suggesting common genetic and environmental risk factors involved in the development of both diseases. Immunosuppressive drugs widely used in SSc may increase the risk of cancer occurrence and different SSc clinical and serological features identify patients at major risk to develop malignancy. In this context, among serological features, presence of anti-RNA polymerase III and anti-topoisomerase I autoantibodies seems to increase cancer frequency in SSc patients (particularly lung and breast cancers). Lung fibrosis and a long standing SSc pulmonary involvement have been largely proposed as lung cancer risk factors, and the exposure to cyclophosphamide and an upper gastrointestinal involvement have been traditionally linked to bladder and oesophagus cancers, respectively. Furthermore, immune checkpoint inhibitors used for cancer therapy can induce immune-related adverse events, which are more frequent and severe in patients with pre-existing autoimmune diseases such as SSc. The strong association between SSc and cancer occurrence steers clinicians to carefully survey SSc patients performing periodical malignancy screening. In the present review, the most relevant bilateral relationships between SSc and cancer will be addressed.

Integrative genomic expression analysis reveals stable differences between lung cancer and systemic sclerosis

BACKGROUND

The incidence and mortality of lung cancer are the highest among all cancers. Patients with systemic sclerosis show a four-fold greater risk of lung cancer than the general population. However, the underlying mechanism remains poorly understood.

METHODS

The expression profiles of 355 peripheral blood samples were integratedly analyzed, including 70 cases of lung cancer, 61 cases of systemic sclerosis, and 224 healthy controls. After data normalization and cleaning, differentially expressed genes (DEGs) between disease and control were obtained and deeply analyzed by bioinformatics methods. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed online by DAVID and KOBAS. The protein-protein interaction (PPI) networks were constructed from the STRING database.

RESULTS

From a total of 14,191 human genes, 299 and 1644 genes were identified as DEGs in systemic sclerosis and lung cancer, respectively. Among them, 64 DEGs were overlapping, including 36 co-upregulated, 10 co-downregulated, and 18 counter-regulated DEGs. Functional and enrichment analysis showed that the two diseases had common changes in immune-related genes. The expression of innate immune response and response to virus-related genes increased significantly, while the expression of negative regulation of cell cycle-related genes decreased notably. In contrast, the expression of mitophagy regulation, chromatin binding and fatty acid metabolism-related genes showed distinct trends.

CONCLUSIONS

Stable differences and similarities between systemic sclerosis and lung cancer were revealed. In peripheral blood, enhanced innate immunity and weakened negative regulation of cell cycle may be the common mechanisms of the two diseases, which may be associated with the high risk of lung cancer in systemic sclerosis patients. On the other hand, the counter-regulated DEGs can be used as novelbiomarkers of pulmonary diseases. In addition, fat metabolism-related DEGs were consideredto be associated with clinical blood lipid data.

Clinicopathological characteristics of lung cancer in patients with systemic sclerosis

Background and objectives

Systemic sclerosis (SSc) is a connective tissue disorder (CTD) associated with an increased risk of malignancy including lung cancer (LC). Our objective was to provide a description of demographics and clinicopathological characteristics of LC patients with SSc.

Methods

Lung cancer patients with SSc admitted to Peking Union Medical College Hospital from January 2000 to August 2017 were reviewed. Demographic and clinicopathologic data were collected.

Results

Of the 12 cases included in our study, all were female. No patients had a history of smoking. The most common histological type was adenocarcinoma, followed by squamous cell carcinoma and small‐cell carcinoma. No driver mutation was identified in the five patients undergoing genetic testing. Eight patients had interstitial lung disease (ILD). Six were manifested as nonspecific interstitial pneumonia (NSIP) and two as usual interstitial pneumonia (UIP). Four (33.3%) patients underwent surgical resection. Among them, two had ILD with a normal preoperative pulmonary function tests (PFT). Eight (66.7%) patients received chemotherapy. Radiotherapy was administered in only one (8.3%) patient. No grade 3/4 adverse events were documented.

Conclusion

The predominance of female patients in our study is different from that reported in general lung cancer patients. A high proportion of patients has SSc‐ILD, including NSIP and UIP. Surgery or radiotherapy could still be considered in carefully selected patients with ILD.