Platinum salts are active against metastatic triple negative breast cancer (mTNBC), and biomarkers to predict their effectiveness are urgently needed. In recent years, the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) have emerged as prognostic biomarkers in many malignancies, but their predictive role in platinum-treated mTNBC patients remains unexplored. We performed a retrospective, single centre study to evaluate the association between baseline NLR or PLR and progression free survival (PFS) of mTNBC patients treated with platinum-based chemotherapy. As a control population, we analysed data from patients with hormone receptor-positive HER2-negative (HR+ HER2−) metastatic breast cancer. Among 57 mTNBC patients treated with the carboplatin-paclitaxel or carboplatin-gemcitabine combination, high NLR and PLR were associated with significantly lower PFS at both univariate and multivariable analysis. Conversely, we did not find a significant association between NLR or PLR and the PFS of 148 patients in the control population. Our findings suggest that the NLR and PLR are predictive of benefit from platinum-containing chemotherapy specifically in mTNBC patients. If validated in larger prospective studies, these easy-to-measure parameters could be combined with emerging predictive biomarkers, such as BRCA 1/2 mutations, to improve the selection of mTNBC patients more likely to benefit from platinum-based chemotherapy.
Introduction
Coronavirus disease 2019 (COVID-19) has disrupted the global health care system since March 2020. Lung cancer (LC) patients (pts) represent a vulnerable population highly affected by the pandemic. This multicenter Italian study aimed to evaluate whether the COVID-19 outbreak impacted on access to cancer diagnosis and treatment for LC pts compared to pre-pandemic time.
Methods
Consecutive newly diagnosed LC pts referred to 25 Italian Oncology Departments between March and December 2020 were included. Access rate and temporal intervals between date of symptoms onset and diagnostic and therapeutic services were compared to the same period in 2019. Differences between the two years were analyzed using chi-square test for categorical variables and Mann-Whitney U test for continuous variables.
Results
A slight reduction (-6.9%) in newly diagnosed LC cases was observed in 2020 compared with 2019 (1523 vs 1637, p=0.09). Newly LC pts in 2020 were more likely to be diagnosed with stage IV disease (p<0.01) and to be current smokers (p<0.01). The drop in terms of new diagnoses was greater in the lockdown period (percentage drop -12% vs -3.2%) compared to the other months included. More LC pts referred to low/medium volume hospital in 2020 compared to 2019 (p=0.01). No differences emerged in terms of interval between symptoms onset and radiological diagnosis (p=0.94), symptoms onset and cytohistological diagnosis (p=0.92), symptoms onset and treatment start (p=0.40), treatment start and first radiological revaluation (p=0.36).
Conclusions
Our study pointed out a reduction of new diagnoses with a shift towards higher stage at diagnosis for LC pts in 2020. Despite this, the measures adopted by Italian Oncology Departments ensured the maintenance of the diagnostic-therapeutic pathways of LC pts.
Immunotherapy, and in particular immune-checkpoints blockade therapy (ICB), represents a new pillar in cancer therapy. Antibodies targeting Cytotoxic T-Lymphocyte Antigen 4 (CTLA-4) and Programmed Death 1 (PD-1)/Programmed Death Ligand-1 (PD-L1) demonstrated a relevant clinical value in a large number of solid tumors, leading to an improvement of progression free survival and overall survival in comparison to standard chemotherapy. However, across different solid malignancies, the immune-checkpoints inhibitors efficacy is limited to a relative small number of patients and, for this reason, the identification of positive or negative predictive biomarkers represents an urgent need. Despite the expression of PD-L1 was largely investigated in various malignancies, (i.e., melanoma, head and neck malignancies, urothelial and renal carcinoma, metastatic colorectal cancer, and pancreatic cancer) as a biomarker for ICB treatment-patients selection, it showed an important, but still imperfect, role as positive predictor of response only in nonsmall cell lung cancer (NSCLC). Importantly, other tumor and/or microenvironments related characteristics are currently under clinical evaluation, in combination or in substitution of PD–L1 expression. In particular, tumor-infiltrating immune cells, gene expression analysis, mismatch- repair deficiency, and tumor mutational landscape may play a central role in predicting clinical benefits of CTLA-4 and/or PD-1/PD-L1 checkpoint inhibitors. In this review, we will focus on the clinical evaluation of emerging biomarkers and how these may improve the naïve vision of a single- feature patients-based selection.
Predictive biomarkers of response to immune-checkpoint inhibitors (ICIs) are an urgent clinical need. The aim of this study is to identify manageable parameters to use in clinical practice to select patients with higher probability of response to ICIs. Two-hundred-and-seventy-one consecutive metastatic solid tumor patients, treated from 2013 until 2017 with anti- Programmed death-ligand 1 (PD-L1)/programmed cell death protein 1 (PD-1) ICIs, were evaluated for baseline lactate dehydrogenase (LDH) serum level, performance status (PS), age, neutrophil-lymphocyte ratio, type of immunotherapy, number of metastatic sites, histology, and sex. A training and validation set were used to build and test models, respectively. The variables’ effects were assessed through odds ratio estimates (OR) and area under the receive operating characteristic curves (AUC), from univariate and multivariate logistic regression models. A final multivariate model with LDH, age and PS showed significant ORs and an AUC of 0.771. Results were statistically validated and used to devise an Excel algorithm to calculate the patient’s response probabilities. We implemented an interactive Excel algorithm based on three variables (baseline LDH serum level, age and PS) which is able to provide a higher performance in response prediction to ICIs compared with LDH alone. This tool could be used in a real-life setting to identify ICIs in responding patients.
Background
Coronavirus disease 2019 (COVID-19) has rapidly spread to every country around the world taking on pandemic proportions. Since 8 March 2020, the Italian government ordered a nationwide lockdown with unavoidable social isolation. Healthcare professionals (HCPs) represent the most physically and emotionally involved category. The aim of this study is to assess the social distress among HCPs in Italy.
Patients and methods
In this online, totally anonymous survey, 24 multiple choice questions were posed to medical staff employed in the Italian Healthcare System during the COVID-19 pandemic. Data collection was performed from 30 March to 24 April 2020.
Results
A total of 600 HCPs completed the questionnaire. The majority of respondents expressed the fear of being at higher risk of contagion than the general population (83.3%) and the weighty concern of infecting their families (72.5%). An insufficient supply of personal protective equipment (PPE;
P
= 0.0003) and inadequate training about procedures to follow (
P
= 0.0092) were seen to significantly coincide with these worries. More than two-thirds declared a change in family organisation, which showed a significant correlation with the concern of infecting their relatives (
P
< 0.0001).
Conclusions
This is the first Italian survey on social distress among HCPs during the COVID-19 pandemic. The unavailability of PPE, screening procedures and adequate training strongly affected HCPs' emotional status. Although there was a predominance of oncologists (especially from the North of Italy), which impairs the generalisation of our findings, this survey underlined the social impact that this health emergency has had on HCPs.
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