Background: Idiopathic pulmonary fibrosis (IPF) has common risk factors with cancer and significant similarities in the pathobiology process, both diseases having poor outcomes. Immune checkpoint PD-L1 has become the target of checkpoint inhibitory therapy that unleashes antitumor T cells and has revolutionized cancer treatment. This is a pilot study exploring membrane immune checkpoint PD-L1 expression in human IPF lung tissue samples and its soluble form, soluble PD-L1 (sPD-L1) plasma concentrations in IPF patients, in order to investigate potential role of PD-L1 as an IPF biomarker. Methods: Twelve human IPF lung tissue samples (formalin-fixed, paraffin-embedded) obtained by surgical biopsy, have been tested for PD-L1 expression by PD-L1 IHC 22C3 pharmDx assay, while plasma samples for examination of sPD-L1 forms, PD-L1 (B7-H1/CD274) blood concentration, originated from 23 patients with IPF who did not undergo surgical biopsy. Results: Membrane PD-L1 expression in IPF lung tissue samples was positive to overexpression of PD-L1 in 9 samples out of 12. Only very few cells in the interstitium have shown a discrete PD-L1 expression, but not of a membrane type. As for sPD-L1 forms, we have found elevated concentrations of sPD-L1 in the serum of IPF patients 314.3 ng/L (117.7-483.1 ng/L), significantly higher compared with healthy control group 91.0 ng/L (52.4-119.7 ng/L), P<0.01. Conclusions: For IPF with PD-L1 expression on alveolar macrophages, further studies are necessary to elucidate this phenomenon. Serum sPD-1/PD-L1 is easily detected in clinical practice and should be further evaluated as a potential prognostic or/and predictive biomarker in IPF.

Summary Background The objective of this prospective study was to evaluate whether soluble programmed cell death-1/programmed cell death-ligand 1 (PD-1/PD-L1) and serum amyloid A1 (SAA1) are potential diagnostic, predictive or prognostic biomarkers in lung cancer. Methods Lung cancer patients (n=115) with advanced metastatic disease, 101 with non-small cell lung cancer, NSCLC (77 EGFR wild-type NSCLC patients on chemotherapy, 15 EGFR mutation positive adenocarcinoma patients, 9 patients with mPD-L1 Expression ≥50% NSCLC – responders to immunotherapy), and 14 patients with small cell lung cancer (SCLC) were examined. ELISA method was used to determine sPD-L1 and SAA1 concentrations in patients’ plasma. Results Significantly higher blood concentrations of sPD-L1 and SAA1 were noted in lung cancer patients compared with a healthy control group. In PD-L1+ NSCLC patients, a significantly higher sPD-L1 level was noticed compared to any other lung cancer subgroup, as well as the highest average SAA1 value compared to other subgroups. Conclusions It seems that sPD-1/PD-L1 might be a potential biomarker, prognostic and/ or predictive, particularly in patients treated with immunotherapy. Serum amyloid A1 has potential to act as a good predictor of patients’ survival, as well as a biomarker of a more advanced disease, with possibly good capability to predict the course of disease measured at different time points.

BackgroundManagement of non-small-cell lung cancer (NSCLC) is affected by regional specificities. The present study aimed at determining diagnostic and therapeutic procedures including outcome of patients with NSCLC stage III in the real-world setting in Central European countries to define areas for improvements.Patients and methodsThis multicentre, prospective and non-interventional study collected data of patients with NSCLC stage III in a web-based registry and analysed them centrally.ResultsBetween March 2014 and March 2017, patients (n=583) with the following characteristics were entered: 32% females, 7% never-smokers; ECOG performance status (PS) 0, 1, 2 and 3 in 25%, 58%, 12% and 5%, respectively; 21% prior weight loss; 53% squamous carcinoma, 38% adenocarcinoma; 10% EGFR mutations. Staging procedures included chest X-ray (97% of patients), chest CT (96%), PET-CT (27%), brain imaging (20%), bronchoscopy (89%), endobronchial ultrasound (EBUS) (13%) and CT-guided biopsy (9%). Stages IIIA/IIIB were diagnosed in 55%/45% of patients, respectively. N2/N3 nodes were diagnosed in 60%/23% and pathologically confirmed in 29% of patients. Most patients (56%) were treated by combined modalities. Surgery plus chemotherapy was administered to 20%, definitive chemoradiotherapy to 34%, chemotherapy only to 26%, radiotherapy only to 12% and best supportive care (BSC) to 5% of patients. Median survival and progression-free survival times were 16.8 (15.3;18.5) and 11.2 (10.2;12.2) months, respectively. Stage IIIA, female gender, no weight loss, pathological mediastinal lymph node verification, surgery and combined modality therapy were associated with longer survival.ConclusionsThe real-world study demonstrated a broad heterogeneity in the management o f stage III NSCLC in Central European countries and suggested to increase the rates of PET-CT imaging, brain imaging and invasive mediastinal staging.

Thymic epithelial tumors (TETs) include several anterior mediastinal malignant tumours: thymomas, thymic carcinomas and thymic neuroendocrine cancers. There is significant variety in the biologic features and clinical course of TETs and many attempts have been made to identify target genes for successful therapy of TETs. Next generation sequencing (NGS) represents a huge advancement in diagnostics and these new molecular technologies revealed that thymic neoplasms have the lowest tumor mutation burden among all adult malignant tumours with a different pattern of molecular aberrations in thymomas and thymic carcinomas. As for the PD-L1 expression in tumor cells in thymoma and thymic carcinoma, it varies a lot in published studies, with findings of PD-L1 expression from 23% to 92% in thymoma and 36% to 100% in thymic carcinoma. When correlated PD-L1 expression with disease stage some controversial results were obtained, with no association with tumor stage in most studies. This is, at least in part, explained by the fact that several diverse PD-L1 immunohistochemical tests were used in each trial, with four different antibodies (SP142, SP263, 22C3, and 28-8), different definition of PD-L1 positivity and cutoff values throughout the studies as well. There is a huge interest in using genomic features to produce predictive genomic-based immunotherapy biomarkers, particularly since recent data suggest that certain tumor-specific genomic alterations, either individually or in combination, appear to influence immune checkpoint activity and better responses as the outcome, so as such in some cancer types they may complement existing biomarkers to improve the selection criteria for immunotherapy.

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