Prognostic factors in non small cell lung cancer

peer reviewedRésumé : Le cancer pulmonaire non à petites cellules est le plus fréquent des cancers du poumon et son pronostic reste très réservé. Les rechutes sont fréquentes et peuvent même s’observer dans des stades précoces de la maladie, en dépit d’une prise en charge chirurgicale à visée curative. Cette revue de la littérature donne un aperçu des facteurs pronostiques principaux dont les deux plus importants, conditionnant la stratégie thérapeutique, demeurent la stadification («staging») et l’histologie de la tumeur. D’autres facteurs péjoratifs pourraient également s’avérer utiles pour les cliniciens, notamment en orientant le patient vers des thérapies adjuvantes.Summary : Non small cell lung cancer is the most frequent type of lung cancer and its prognosis is still very poor. Relapse is frequent and can be observed even in early stages of the disease, in spite of a surgical management with curative intent. This paper gives an overview of the main prognostic factors, the two most important of which remain the staging and tumor histology. These also determine the therapeutic strategy. Other factors of poor prognosis might also be useful for clinicians, particularly in their decision to refer patients for adjuvant therapies. Keywords : Non-small cell lung cancer – Prognostic factors – Pulmonary oncology – Surger

Clinical benefit to programmed death-1 inhibition for non-small-cell lung cancer is associated with higher blood eosinophil levels

peer reviewed[No abstract available

White Blood Cells in Patients Treated with Programmed Cell Death-1 Inhibitors for Non-small Cell Lung Cancer.

peer reviewedPURPOSE: To investigate whether eosinophils and other white blood cell subtypes could be used as response and prognostic markers to anti-Programmed cell Death-1 or anti-PD-Ligand-1 treatments in non-small cell lung cancer patients. METHODS: We retrospectively analyzed data from the NSCLC patients consecutively treated at our hospital with a PD-1/PD-L1 inhibitor in monotherapy for advanced disease. A total of 191 patients were evaluated at three time-points to investigate any relation between tumor response and WBC counts. RESULTS: Baseline WBC and subtypes did not differ according to the type of response seen under treatment. A higher relative eosinophil count (REC) correlated with more objective responses (p = 0.019 at t1 and p = 0.014 at t2; OR for progression = 0.54 and 0.53, respectively) independently of the smoking status, PD-L1 status, and immune-related toxicity (IRT). Higher REC was also associated with a longer duration of treatment (p = 0.0096). Baseline absolute neutrophil count was prognostic (p = 0.049). At t1 relative lymphocytes, absolute and relative neutrophils, and neutrophil-to-lymphocyte ratio were prognostic (p = 0.044, p = 0.014, p = 0.0033, and p = 0.029, respectively). CONCLUSION: Our results show that in NSCLC patients anti-PD-1/PD-L1 therapy induces an early increase only in blood eosinophils, more prominent in responding patients and independent of the smoking status, PD-L1 status, and IRT. Eosinophils are also associated with a longer duration of treatment. Furthermore, our data support a prognostic role of neutrophils, lymphocytes, and their ratio for NSCLC patients with advanced disease treated with PD(L)-1 blockade

Eosinophils and Lung Cancer: From Bench to Bedside.

peer reviewedEosinophils are rare, multifunctional granulocytes. Their growth, survival, and tissue migration mainly depend on interleukin (IL)-5 in physiological conditions and on IL-5 and IL-33 in inflammatory conditions. Preclinical evidence supports an immunological role for eosinophils as innate immune cells and as agents of the adaptive immune response. In addition to these data, several reports show a link between the outcomes of patients treated with immune checkpoint inhibitors (ICI) for advanced cancers and blood eosinophilia. In this review, we present, in the context of non-small cell lung cancer (NSCLC), the biological properties of eosinophils and their roles in homeostatic and pathological conditions, with a focus on their pro- and anti-tumorigenic effects. We examine the possible explanations for blood eosinophilia during NSCLC treatment with ICI. In particular, we discuss the value of eosinophils as a potential prognostic and predictive biomarker, highlighting the need for stronger clinical data. Finally, we conclude with perspectives on clinical and translational research topics on this subject

Benzodiazepine Receptor Agonists Use and Cessation Among Multimorbid Older Adults with Polypharmacy: Secondary Analysis from the OPERAM Trial.

BACKGROUND Benzodiazepine receptor agonists (BZRAs) are commonly prescribed in older adults despite an unfavorable risk-benefit ratio. Hospitalizations may provide a unique opportunity to initiate BZRA cessation, yet little is known about cessation during and after hospitalization. We aimed to measure the prevalence of BZRA use before hospitalization and the rate of cessation 6 months later, and to identify factors associated with these outcomes. METHODS We conducted a secondary analysis of a cluster randomized controlled trial (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly [OPERAM]), comparing usual care and in-hospital pharmacotherapy optimization in adults aged 70 years or over with multimorbidity and polypharmacy in four European countries. BZRA cessation was defined as taking one or more BZRA before hospitalization and not taking any BZRA at the 6-month follow-up. Multivariable logistic regression was performed to identify factors associated with BZRA use before hospitalization and with cessation at 6 months. RESULTS Among 1601 participants with complete 6-month follow-up data, 378 (23.6%) were BZRA users before hospitalization. Female sex (odds ratio [OR] 1.52 [95% confidence interval 1.18-1.96]), a higher reported level of depression/anxiety (OR up to 2.45 [1.54-3.89]), a higher number of daily drugs (OR 1.08 [1.05-1.12]), use of an antidepressant (OR 1.74 [1.31-2.31]) or an antiepileptic (OR 1.46 [1.02-2.07]), and trial site were associated with BZRA use. Diabetes mellitus (OR 0.60 [0.44-0.80]) was associated with a lower probability of BZRA use. BZRA cessation occurred in 86 BZRA users (22.8%). Antidepressant use (OR 1.74 [1.06-2.86]) and a history of falling in the previous 12 months (OR 1.75 [1.10-2.78]) were associated with higher BZRA cessation, and chronic obstructive pulmonary disease (COPD) (OR 0.45 [0.20-0.91]) with lower BZRA cessation. CONCLUSION BZRA prevalence was high among included multimorbid older adults, and BZRA cessation occurred in almost a quarter of them within 6 months after hospitalization. Targeted BZRA deprescribing programs could further enhance cessation. Specific attention is needed for females, central nervous system-acting co-medication, and COPD co-morbidity. REGISTRATION ClinicalTrials.gov identifier: NCT02986425. December 8, 2016

Veliparib in Combination with Carboplatin and Etoposide in Patients with Treatment-Naive Extensive-Stage Small Cell Lung Cancer:A Phase 2 Randomized Study

Purpose: This study investigated the efficacy and safety of oral PARP inhibitor veliparib, plus carboplatin and etoposide in patients with treatment-naive, extensive-stage small cell lung cancer (ED-SCLC). Patients and Methods: Patients were randomized 1:1:1 to veliparib [240 mg twice daily (BID) for 14 days] plus chemotherapy followed by veliparib maintenance (400 mg BID; veliparib throughout), veliparib plus chemotherapy followed by placebo (veliparib combination only), or placebo plus chemotherapy followed by placebo (control). Patients received 4-6 cycles of combination therapy, then maintenance until unacceptable toxicity/progression. The primary endpoint was progression-free survival (PFS) with veliparib throughout versus control. Results: Overall (N = 181), PFS was improved with veliparib throughout versus control [hazard ratio (HR), 0.67; 80% confidence interval (CI), 0.50-0.88; P = 0.059]; median PFS was 5.8 and 5.6 months, respectively. There was a trend toward improved PFS with veliparib throughout versus control in SLFN11-positive patients (HR, 0.6; 80% CI, 0.36-0.97). Median overall survival (OS) was 10.1 versus 12.4 months in the veliparib throughout and control arms, respectively (HR, 1.43; 80% CI, 1.09-1.88). Grade 3/4 adverse events were experienced by 82%, 88%, and 68% of patients in the veliparib throughout, veliparib combination-only and control arms, most commonly hematologic. Conclusions: Veliparib plus platinum chemotherapy followed by veliparib maintenance demonstrated improved PFS as first-line treatment for ED-SCLC with an acceptable safety profile, but there was no corresponding benefit in OS. Further investigation is warranted to define the role of biomarkers in this setting

Detectability of Medication Errors With a STOPP/START-Based Medication Review in Older People Prior to a Potentially Preventable Drug-Related Hospital Admission.

INTRODUCTION Multimorbidity and polypharmacy are risk factors for drug-related hospital admissions (DRAs) in the ageing population. DRAs caused by medication errors (MEs) are considered potentially preventable. The STOPP/START criteria were developed to detect potential MEs in older people. OBJECTIVE The aim of this study was to assess the detectability of MEs with a STOPP/START-based in-hospital medication review in older people with polypharmacy and multimorbidity prior to a potentially preventable DRA. METHODS Hospitalised older patients (n = 963) with polypharmacy and multimorbidity from the intervention arm of the OPERAM trial received a STOPP/START-based in-hospital medication review by a pharmacotherapy team. Readmissions within 1 year after the in-hospital medication review were adjudicated for drug-relatedness. A retrospective assessment was performed to determine whether MEs identified at the first DRA were detectable during the in-hospital medication review. RESULTS In total, 84 of 963 OPERAM intervention patients (8.7%) were readmitted with a potentially preventable DRA, of which 72 patients (n = 77 MEs) were eligible for analysis. About half (48%, n = 37/77) of the MEs were not present during the in-hospital medication review and therefore were not detectable at that time. The pharmacotherapy team recommended a change in medication regimen in 50% (n = 20/40) of present MEs, which corresponds to 26% (n = 20/77) of the total identified MEs at readmission. However, these recommendations were not implemented. CONCLUSION MEs identified at readmission were not addressed by a prior single in-hospital medication review because either these MEs occurred after the medication review (~50%), or no recommendation was given during the medication review (~25%), or the recommendation was not implemented (~25%). Future research should focus on optimisation of the timing and frequency of medication review and the implementation of proposed medication recommendations. REGISTRATION ClinicalTrials.gov identifier: NCT02986425. December 8, 2016. FUNDING European Union HORIZON 2020, Swiss State Secretariat for Education, Research and Innovation (SERI), Swiss National Science Foundation (SNSF)

Detectability of Medication Errors With a STOPP/START-Based Medication Review in Older People Prior to a Potentially Preventable Drug-Related Hospital Admission

Introduction Multimorbidity and polypharmacy are risk factors for drug-related hospital admissions (DRAs) in the ageing population. DRAs caused by medication errors (MEs) are considered potentially preventable. The STOPP/START criteria were developed to detect potential MEs in older people.Objective The aim of this study was to assess the detectability of MEs with a STOPP/START-based in-hospital medication review in older people with polypharmacy and multimorbidity prior to a potentially preventable DRA.Methods Hospitalised older patients (n = 963) with polypharmacy and multimorbidity from the intervention arm of the OPERAM trial received a STOPP/START-based in-hospital medication review by a pharmacotherapy team. Readmissions within 1 year after the in- hospital medication review were adjudicated for drug-relatedness. A retrospective assessment was performed to determine whether MEs identified at the first DRA were detectable during the in-hospital medication review.Results In total, 84 of 963 OPERAM intervention patients ( 8.7%) were readmitted with a potentially preventable DRA, of which 72 patients (n = 77 MEs) were eligible for analysis. About half (48%, n = 37/77) of the MEs were not present during the in-hospital medication review and therefore were not detectable at that time. The pharmacotherapy team recommended a change in medication regimen in 50% ( n = 20/40) of present MEs, which corresponds to 26% (n = 20/77) of the total identified MEs at readmission. However, these recommendations were not implemented.Conclusion MEs identified at readmission were not addressed by a prior single in-hospital medication review because either these MEs occurred after the medication review (similar to 50%), or no recommendation was given during the medication review (similar to 25%), or the recommendation was not implemented (similar to 25%). Future research should focus on optimisation of the timing and frequency of medication review and the implementation of proposed medication recommendations

Asthma and COPD Are Not Risk Factors for ICU Stay and Death in Case of SARS-CoV2 Infection

BACKGROUND: Asthmatics and patients with chronic obstructive pulmonary disease (COPD) have more severe outcomes with viral infections than people without obstructive disease. OBJECTIVE: To evaluate if obstructive diseases are risk factors for intensive care unit (ICU) stay and death due to coronavirus disease 2019 (COVID19). METHODS: We collected data from the electronic medical record from 596 adult patients hospitalized in University Hospital of Liege between March 18 and April 17, 2020, for severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infection. We classified patients into 3 groups according to the underlying respiratory disease, present before the COVID19 pandemic. RESULTS: Among patients requiring hospitalization for COVID19, asthma and COPD accounted for 9.6% and 7.7%, respectively. The proportions of asthmatics, patients with COPD, and patients without obstructive airway disease hospitalized in the ICU were 17.5%, 19.6%, and 14%, respectively. One-third of patients with COPD died during hospitalization, whereas only 7.0% of asthmatics and 13.6% of patients without airway obstruction died due to SARS-CoV2. The multivariate analysis showed that asthma, COPD, inhaled corticosteroid treatment, and oral corticosteroid treatment were not independent risk factors for ICU admission or death. Male gender (odds ratio [OR]: 1.9; 95% confidence interval [CI]: 1.1-3.2) and obesity (OR: 8.5; 95% CI: 5.1-14.1) were predictors of ICU admission, whereas male gender (OR 1.9; 95% CI: 1.1-3.2), older age (OR: 1.9; 95% CI: 1.6-2.3), cardiopathy (OR: 1.8; 95% CI: 1.1-3.1), and immunosuppressive diseases (OR: 3.6; 95% CI: 1.5-8.4) were independent predictors of death. CONCLUSION: Asthma and COPD are not risk factors for ICU admission and death related to SARS-CoV2 infection