Efficacy and safety of erlotinib in the treatment of metastatic non-small-cell lung cancer

Identification and verification of a PANoptosis-related long noncoding ribonucleic acid signature for predicting the clinical outcomes and immune landscape in lung adenocarcinoma

PANoptosis is a type of programmed cell death (PCD) characterised by apoptosis, necroptosis and pyroptosis. Long non-coding ribonucleic acids (lncRNAs) are participating in the malignant behaviour of tumours regulated by PCD. Nevertheless, the function of PANoptosis-associated lncRNAs in lung adenocarcinoma remains to be investigated. In this work, a PANoptosis-related lncRNA signature (PRLSig) was developed based on the least absolute shrinkage and selection operator algorithm. The stability and fitness of PRLSig were confirmed by systematic evaluation of Kaplan-Meier, Cox analysis algorithm, receiver operating characteristic analysis, stratification analysis. In addition, ESTIMATE, single sample gene set enrichment analysis, immune checkpoints and the cancer immunome database confirmed the predictive value of the PRLSig in immune microenvironment and helped to identify populations for which immunotherapy is advantageous. The present research provides novel insights to facilitate risk stratification and optimise personalised treatment for LUAD.

Real-world survival outcomes of immunotherapy for advanced non-small cell lung cancer: A single-center retrospective review

BACKGROUND

Non-small cell lung cancer (NSCLC) is often diagnosed at an advanced stage. Clinical trials have demonstrated that first-line immunotherapy alone or in combination with chemotherapy improves overall survival. However, reports of survival outcomes in real-world settings are limited. We assessed survival in advanced NSCLC patients treated with immunotherapy alone or in combination with chemotherapy in first- or second-line at the Windsor Regional Cancer Program (WRCP) and compared it to existing literature.

METHODS

We included patients diagnosed with stage IV NSCLC from January 2015 to December 2020 and treated with first-line chemoimmunotherapy (ChemoImmuno1), chemotherapy followed by immunotherapy (Chemo1), or immunotherapy followed by chemotherapy (Immno1) in our survival analysis. Patients with oncogene-addicted mutations were excluded.

RESULTS

There were 160 patients of which 41.5% were female. Mean age was 68 years. Median overall survival from time of diagnosis was 474 days (95% CI: 249, 949) with an estimated 5-year survival of 11.1% (95% CI: 4.5, 21.3). Median OS in ChemoImmuno1 was 9.6 months, in Chemo1 was 19.2 months from time of diagnosis and 10.5 months from time of initiation of immunotherapy, and in Immuno1 was 18.4 months, respectively. Estimated survival at three years from time of diagnosis for ChemoImmuno1 was 17.6% and for Immuno1 was 17.9%. For Chemo1, from diagnosis it was 20.1% and from second-line therapy it was 15.4%. Survival outcomes were comparable to clinical trials and other studies.

CONCLUSION

Real-world survival outcomes of immunotherapy for advanced NSCLC are comparable to the existing literature in this single center study.

Exhaled Breath Condensate: A Non-Invasive Source for Tracking of Genetic and Epigenetic Alterations in Lung Diseases

Lung diseases have been recognized as an extensive cause of morbidity and mortality in the worldwide. The high degree of clinical heterogeneity and nonspecific initial symptoms of lung diseases contribute to a delayed diagnosis. So, the molecular and genomic profiling play a pivotal role in promoting the pulmonary diseases. Exhaled breath condensate (EBC) as a novel and potential method for sampling the respiratory epithelial lining fluid is to assess the inflammatory and oxidative stress biomarkers, drugs and genetic alterations in the pathophysiologic processes of lung diseases. The recent studies on the analysis of EBC from both a genetic and epigenetic point of view were searched from database and reviewed. This review provides an overview of the current findings in the tracking of genomic and epigenetic alterations which are potentially effective in better management of cancer detection. In addition, respiratory microbiota DNA using EBC samples in association with pulmonary disease especially lung cancer were investigated. Various studies have concluded that EBC has a great potential for analysis of nuclear and mitochondrial DNA alterations as well as epigenetic modifications and identification of respiratory microbiome. Next-generation sequencing (NGS) based genomic profiling of EBC samples is recommended as a promising approach to establish personalized based prevention, diagnosis, treatment and post-treatment follow-ups for patients with lung diseases especially lung cancer.