Treatment of Thoracic SMARCA4-Deficient Undifferentiated Tumors: Where We Are and Where We Will Go.

Recently, the fifth edition of the WHO classification recognized the thoracic SMARCA4-deficient undifferentiated tumor (SMARCA4-UT) as a separate entity from conventional non-small cell lung cancer with SMARCA4 deficiency because of the different clinicopathological characteristics of these two diseases. SMARCA4-UT mainly occurs in young to middle-aged adults and involves a large mass compressing the tissues surrounding the mediastinum and lung parenchyma. Unfortunately, SMARCA4-UT shows a high probability of recurrence after upfront surgery as well as radiotherapy resistance; moreover, chemotherapy has low efficacy. Moreover, given the recent classification of SMARCA4-UT, no data concerning specific clinical trials are currently available. However, several case reports show immunotherapy efficacy in patients with this disease not only in a metastatic setting but also in a neoadjuvant manner, supporting the development of clinical trials. In addition, preclinical data and initial clinical experiences suggest that inhibiting pathways such as CDK4/6, AURKA, ATR, and EZH2 may be a promising therapeutic approach to SMARCA4-UT.

Incidence and predictors of infections in patients with advanced non-small cell lung cancer treated with checkpoint inhibitor immunotherapies: A monocentric retrospective cohort study.

Immune checkpoint inhibitors (ICIs) represent the cornerstone of the current treatment of non-small cell lung cancer (NSCLC). However, the occurrence of concomitant infections might hamper success. All consecutive patients with advanced NSCLC who started ICIs as a first- or second-line therapy from January 1, 2017 to June 30, 2020 were retrospectively evaluated. The occurrence of infectious events during ICIs was correlated with clinical characteristics, including previous Cytotoxic Chemotherapy (CC), occurrence of immune-related-adverse-events (irAEs). A total of 211 patients were included, 46 (22%) females, with a median (q1-q3) age of 69 (62-76) years. Overall, 85 patients (40%) received ICIs as a first treatment line and 126 (60%) as a second line; 40 patients (19%) had at least one infection during ICIs, and 17 (8%) more than one. Notably, autoimmune diseases (P < .005), neutropenia (P = .001) or infections during previous CC (P = .001), irAEs (P = .006), or steroid therapy for irAEs (P < .001) were associated with infection development. By multivariate Cox-regression, autoimmune diseases (aHR = 6.27; 95%CI = 2.38-16.48; P < .001) and steroid therapy for irAEs (aHR = 2.65; 95%CI = 1.27-5.52; P < .009) were associated with a higher risk of infection during ICIs. Interestingly, autoimmune diseases were confirmed as risk factors in patients treated with ICIs as a first line, while previous infections were the only independent predictor of infections in patients treated with ICIs as a second line. Patients with NSCLC treated with ICIs with concurrent autoimmune disease, receiving steroid therapy for management of irAEs, or having a history of previous infections during CC should be actively monitored for the risk of developing infectious complications.

Smoking Prevalence, Knowledge and Perceptions on Tobacco Control Among Healthcare Professionals: A Survey in an Italian Cancer Center.

Smoking is recognized as the major cause of lung cancer. Healthcare professionals play an important role in lung cancer prevention policies, as they act as a source of guidance for patients and advocates. The following survey evaluated prevalence, knowledge, and attitudes toward tobacco smoking among a sample of workers in "IRCCS Istituto Tumori "Giovanni Paolo II" of Bari, an Italian cancer hospital. An anonymous questionnaire was completed by 104 healthcare professionals to collect personal and occupational data about smoking status, knowledge about the harms of smoking, current legislation in place, Second-Hand Smoke (SHS) awareness, and, for ex-smokers, the reasons for quitting. Among participants, 17.8% were current smokers, 26.2% former smokers, and 56% never smoked. Only 40% acknowledged that the smoking ban is generally respected, and 63.2% reported that they smoke during working hours. Most of the participants perceived tobacco control policy as an efficient way to protect public health. Currently, the implementation of Italian anti-smoking legislation has so far improved neither smoking cessation rates nor the will to quit smoking completely. Our experience highlights that to date the anti-smoking strategies have limited efficacy even in a cancer center; in fact, there is still a large prevalence of smokers among hospital personnel. Therefore, it is strongly suggested that interventions be shared with all healthcare workers, specifically aimed at developing a culture of health promotion.

Gender Differences and Immunotherapy Outcome in Advanced Lung Cancer.

In developed countries, lung cancer is the leading cause of cancer-related death in both sexes. Although cigarette smoking represents the principal risk factor for lung cancer in females, the higher proportion of this neoplasm among non-smoking women as compared with non-smoking men implies distinctive biological aspects between the two sexes. Gender differences depend not only on genetic, environmental, and hormonal factors but also on the immune system, and all these aspects are closely interconnected. In the last few years, it has been confirmed that the immune system plays a fundamental role in cancer evolution and response to oncological treatments, specifically immunotherapy, with documented distinctions between men and women. Consequently, in order to correctly assess cancer responses and disease control, considering only age and reproductive status, the results of studies conducted in female patients would probably not categorically apply to male patients and vice versa. The aim of this article is to review recent data about gender disparities in both healthy subjects' immune system and lung cancer patients; furthermore, studies concerning gender differences in response to lung cancer immunotherapy are examined.

What Are the Biomarkers for Immunotherapy in SCLC?

Small-cell lung cancer (SCLC) is an aggressive malignancy that exhibits a rapid doubling time, a high growth fraction, and the early development of widespread metastases. The addition of immune checkpoint inhibitors to first-line chemotherapy represents the first significant improvement of systemic therapy in several decades. However, in contrast to its effects on non-SCLC, the advantageous effects of immunotherapy addition are modest in SCLC. In particular, only a small number of SCLC patients benefit from immune checkpoint inhibitors. Additionally, biomarkers selection is lacking for SCLC, with clinical trials largely focusing on unselected populations. Here, we review the data concerning the major biomarkers for immunotherapy, namely, programmed death ligand 1 expression and tumour mutational burden. Furthermore, we explore other potential biomarkers, including the role of the immune microenvironment in SCLC, the role of genetic alterations, and the potential links between neurological paraneoplastic syndromes, serum anti-neuronal nuclear antibodies, and outcomes in SCLC patients treated with immunotherapy.

Clinicopathologic correlates of first-line pembrolizumab effectiveness in patients with advanced NSCLC and a PD-L1 expression of ≥ 50.

BACKGROUND: Single-agent pembrolizumab represents the standard first-line option for metastatic non-small-cell lung cancer (NSCLC) patients with a PD-L1 (programmed death-ligand 1) expression of ≥ 50%. METHODS: We conducted a multicenter retrospective study aimed at evaluating the clinicopathologic correlates of pembrolizumab effectiveness in patients with treatment-naïve NSCLC and a PD-L1 expression of ≥ 50%. RESULTS: One thousand and twenty-six consecutive patients were included. The objective response rate (ORR) was 44.5% (95% CI 40.2-49.1), while the median progression free survival (PFS) and overall survival (OS) were 7.9 months (95% CI 6.9-9.5; 599 events) and 17.2 months (95% CI 15.3-22.3; 598 censored patients), respectively. ECOG-PS ≥ 2 (p < 0.0001) and bone metastases (p = 0.0003) were confirmed to be independent predictors of a worse ORR. Former smokers (p = 0.0002), but not current smokers (p = 0.0532) were confirmed to have a significantly prolonged PFS compared to never smokers at multivariate analysis. ECOG-PS (p < 0.0001), bone metastases (p < 0.0001) and liver metastases (p < 0.0001) were also confirmed to be independent predictors of a worse PFS. Previous palliative RT was significantly related to a shortened OS (p = 0.0104), while previous non-palliative RT was significantly related to a prolonged OS (p = 0.0033). Former smokers (p = 0.0131), but not current smokers (p = 0.3433) were confirmed to have a significantly prolonged OS compared to never smokers. ECOG-PS (p < 0.0001), bone metastases (p < 0.0001) and liver metastases (p < 0.0001) were also confirmed to be independent predictors of a shortened OS. A PD-L1 expression of ≥ 90%, as assessed by recursive partitioning, was associated with significantly higher ORR (p = 0.0204), and longer and OS (p = 0.0346) at multivariable analysis. CONCLUSION: Pembrolizumab was effective in a large cohort of NSCLC patients treated outside of clinical trials. Questions regarding the effectiveness in clinical subgroups, such as patients with poorer PS and with liver/bone metastases, still remain to be addressed. We confirmed that the absence of tobacco exposure, and the presence of bone and liver metastasis are associated with worse clinical outcomes to pembrolizumab. Increasing levels of PD-L1 expression may help identifying a subset of patients who derive a greater benefit from pembrolizumab monotherapy.

Breath Analysis: Comparison among Methodological Approaches for Breath Sampling.

Despite promising results obtained in the early diagnosis of several pathologies, breath analysis still remains an unused technique in clinical practice due to the lack of breath sampling standardized procedures able to guarantee a good repeatability and comparability of results. The most diffuse on an international scale breath sampling method uses polymeric bags, but, recently, devices named Mistral and ReCIVA, able to directly concentrate volatile organic compounds (VOCs) onto sorbent tubes, have been developed and launched on the market. In order to explore performances of these new automatic devices with respect to sampling in the polymeric bag and to study the differences in VOCs profile when whole or alveolar breath is collected and when pulmonary wash out with clean air is done, a tailored experimental design was developed. Three different breath sampling approaches were compared: (a) whole breath sampling by means of Tedlar bags, (b) the end-tidal breath collection using the Mistral sampler, and (c) the simultaneous collection of the whole and alveolar breath by using the ReCIVA. The obtained results showed that alveolar fraction of breath was relatively less affected by ambient air (AA) contaminants (p-values equal to 0.04 for Mistral and 0.002 for ReCIVA Low) with respect to whole breath (p-values equal to 0.97 for ReCIVA Whole). Compared to Tedlar bags, coherent results were obtained by using Mistral while lower VOCs levels were detected for samples (both breath and AA) collected by ReCIVA, likely due to uncorrected and fluctuating flow rates applied by this device. Finally, the analysis of all data also including data obtained by explorative analysis of the unique lung cancer (LC) breath sample showed that a clean air supply might determine a further confounding factor in breath analysis considering that lung wash-out is species-dependent.

Successful treatment of a non-small-cell lung cancer patient harboring HIP1-ALK (H28:A20) and CTNNB1 p.S45del with alectinib.

This is the first case report of a non-small-cell lung cancer (NSCLC) patient harboring HIP1-ALK (H28:A20) and CTNNB1 p.S45del treated with first-line alectinib. Approximately 5% of NSCLC patients are reported to have anaplastic lymphoma kinase (ALK) rearrangements, and among these EML4-ALK is the most frequent fusion variant. However, in recent years the use of next-generation sequencing (NGS) in clinical laboratories has become increasingly widespread, identifying a lot of new ALK fusion partners as well as a large quantity of co-occurring genomic alterations. Unfortunately, the growing number of genomic alterations detected by NGS does not always correspond to adequate knowledge of their clinical significance, often resulting in an empiric treatment of patients harboring uncommon mutations.

Transfer learning approach in pre-treatment CT images to predict therapeutic response in advanced malignant pleural mesothelioma.

Introduction: Malignant pleural mesothelioma (MPM) is a poor-prognosis disease. Owing to the recent availability of new therapeutic options, there is a need to better assess prognosis. The initial clinical response could represent a useful parameter. Methods: We proposed a transfer learning approach to predict an initial treatment response starting from baseline CT scans of patients with advanced/unresectable MPM undergoing first-line systemic therapy. The therapeutic response has been assessed according to the mRECIST criteria by CT scan at baseline and after two to three treatment cycles. We used three slices of baseline CT scan as input to the pre-trained convolutional neural network as a radiomic feature extractor. We identified a feature subset through a double feature selection procedure to train a binary SVM classifier to discriminate responders (partial response) from non-responders (stable or disease progression). Results: The performance of the prediction classifiers was evaluated with an 80:20 hold-out validation scheme. We have evaluated how the developed model was robust to variations in the slices selected by the radiologist. In our dataset, 25 patients showed an initial partial response, whereas 13 patients showed progressive or stable disease. On the independent test, the proposed model achieved a median AUC and accuracy of 86.67% and 87.50%, respectively. Conclusions: The proposed model has shown high performance even by varying the reference slices. Novel tools could help to improve the prognostic assessment of patients with MPM and to better identify subgroups of patients with different therapeutic responsiveness.

Immunotherapy in Elderly Patients Affected by Non-Small Cell Lung Cancer: A Narrative Review.

Lung cancer is the leading cause of cancer-related deaths worldwide. Non-small cell lung cancer (NSCLC) accounts for approximately 80% of all lung cancers, and most NSCLC is diagnosed in the advanced stage. The advent of immune check point inhibitors (ICIs) changed the therapeutic scenario both in metastatic disease (in first and subsequent lines) and earlier settings. Comorbidities, reduced organ function, cognitive deterioration, and social impairment give reasons for a greater probability of adverse events, making the treatment of elderly patients challenging. The reduced toxicity of ICIs compared to standard chemotherapy makes this approach attractive in this population. The effectiveness of ICIs varies according to age, and patients older than 75 years may benefit less than younger patients. This may be related to the so-called immunosenescence, a phenomenon that refers to the reduced activity of immunity with older age. Elders are often under-represented in clinical trials, even if they are a large part of the patients in a clinical practice. In this review, we aim to explore the biological aspects of immunosenescence and to report and analyze the most relevant and recent literature findings on the role of immunotherapy in elderly patients with NSCLC.

A CT-based transfer learning approach to predict NSCLC recurrence: The added-value of peritumoral region.

Non-small cell lung cancer (NSCLC) represents 85% of all new lung cancer diagnoses and presents a high recurrence rate after surgery. Thus, an accurate prediction of recurrence risk in NSCLC patients at diagnosis could be essential to designate risk patients to more aggressive medical treatments. In this manuscript, we apply a transfer learning approach to predict recurrence in NSCLC patients, exploiting only data acquired during its screening phase. Particularly, we used a public radiogenomic dataset of NSCLC patients having a primary tumor CT image and clinical information. Starting from the CT slice containing the tumor with maximum area, we considered three different dilatation sizes to identify three Regions of Interest (ROIs): CROP (without dilation), CROP 10 and CROP 20. Then, from each ROI, we extracted radiomic features by means of different pre-trained CNNs. The latter have been combined with clinical information; thus, we trained a Support Vector Machine classifier to predict the NSCLC recurrence. The classification performances of the devised models were finally evaluated on both the hold-out training and hold-out test sets, in which the original sample has been previously divided. The experimental results showed that the model obtained analyzing CROP 20 images, which are the ROIs containing more peritumoral area, achieved the best performances on both the hold-out training set, with an AUC of 0.73, an Accuracy of 0.61, a Sensitivity of 0.63, and a Specificity of 0.60, and on the hold-out test set, with an AUC value of 0.83, an Accuracy value of 0.79, a Sensitivity value of 0.80, and a Specificity value of 0.78. The proposed model represents a promising procedure for early predicting recurrence risk in NSCLC patients.

Characterization of Age-Associated, Neutrophil-to-Lymphocyte Ratio (NLR) and Systemic Immune-Inflammatory Index (SII) as Biomarkers of Inflammation in Geriatric Patients with Cancer Treated with Immune Checkpoint Inhibitors: Impact on Efficacy and Survival.

BACKGROUND: Geriatric patients (≥80 years) are underrepresented in immune checkpoint inhibitor (ICIs) clinical trials. However, their unique biology may affect their response to ICIs. There are currently no established biomarkers of the response to ICIs in adult patients with cancer that can help with patient selection. METHODS: We built a multicenter, international retrospective study of 885 patients (<80 years: n = 417, 47.12%; ≥80 years: n = 468, 52.88%) with different tumor types treated with ICIs between 2011 and 2021 from 11 academic centers in the U.S. and Europe. The main outcome measures were objective response rates (ORR), progression-free survival (PFS) and overall survival (OS) stratified by age and circulating inflammatory levels (neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammatory index (SII)). RESULTS: Patients ≥80 years with low NLR (NLR-L) and SII (SII-L) had significantly higher ORR (vs. high NLR [NLR-H], p < 0.01 and SII-H, p < 0.05, respectively). At median follow-ups (13.03 months), and compared to SII-H, patients with SII-L had significantly longer median PFS and OS in patients <80 (p < 0.001), and ≥80 years (p < 0.001). SII-L was independently associated with longer PFS and OS (HR: 0.61 and 0.62, respectively, p < 0.01). CONCLUSION: Lower inflammation pre-ICI initiation may predict an improved response and survival in geriatric patients with cancer.

Prognostic factors for survival in extensive-stage small cell lung cancer: An Italian real-world retrospective analysis of 244 patients treated over the last decade.

BACKGROUND: Potential relationships with the prognosis of patients with extensive-stage non-small cell lung cancer (ES-SCLC) have been investigated without valid results. METHODS: A retrospective analysis of real-world data of consecutive patients with ES-SCLC admitted to our Medical Thoracic Oncology Unit was carried out from 2010 to 2020, focusing on identification of prognostic factors. Kaplan-Meier analysis was used to represent progression-free survival (PFS) and overall survival (OS). Univariable and multivariable Cox models were used to investigate prognostic factors. RESULTS: The analysis included 244 patients. The median OS was 8 months (95% confidence interval [CI]: 8-10) and the median PFS was 5 months (95% CI: 5-6). The univariable analysis showed that factors associated with shorter OS were older age (p = 0.047), TNM stage 4 versus 3 (p < 0.001), Eastern Cooperative Oncology Group (ECOG) performance status (PS) 1 and 2 versus 0 (p < 0.001), and >2 metastatic sites (p = 0.004). Mediastinal radiotherapy (RT) (p < 0.001), >1 irradiated site (p = 0.026), 3 and 4 chemotherapy (CT) lines versus 1 (p = 0.044 and 0.001, respectively), prophylactic cranial irradiation (PCI) (p < 0.001), and surgery (p = 0.001) correlated with longer OS. The multivariable analysis revealed statistically significant associations for TNM, ECOG PS 2 versus 0, number of CT lines, PCI, and surgery. A total of 23 patients (9.4%) survived ≥24 months, 39% of whom had received four CT lines and 48% had mediastinal RT. CONCLUSIONS: Our data suggest that tumor burden, PS, and mediastinal RT strongly correlate with outcome. With the addition of immunotherapy to CT, the identification of new biomarkers as predictive factors is urgently required.

Informative Power Evaluation of Clinical Parameters to Predict Initial Therapeutic Response in Patients with Advanced Pleural Mesothelioma: A Machine Learning Approach.

Malignant pleural mesothelioma (MPM) is a rare neoplasm whose early diagnosis is challenging and systemic treatments are generally administered as first line in the advanced disease stage. The initial clinical response may represent a useful parameter in terms of identifying patients with a better long-term outcome. In this report, the initial therapeutical response in 46 patients affected with advanced/unresectable pleural mesothelioma was investigated. The initial therapeutic response was assessed by CT scan and clinical examination after 2-3 treatment cycles. Our preliminary evaluation shows that the group of patients treated with regimens including antiangiogenetics and/or immunotherapy had a significantly better initial response as compared to patients only treated with standard chemotherapy, exhibiting a disease control rate (DCR) of 100% (95% IC, 79.40-100%) and 80.0% (95% IC, 61.40-92.30%), respectively. Furthermore, the therapeutic response was correlated with the disease stage, blood leukocytes and neutrophils, high albumin serum levels, and basal body mass index (BMI). Specifically, the patients with disease stage III showed a DCR of 95.7% (95% IC, 78.1-99.9%), whereas for disease stage IV the DCR decreased to 66.7% (95% IC, 34.9-9.1%). Moreover, a better initial response was observed in patients with a higher BMI, who reached a DCR of 96.10% (95% IC, 80.36-99.90%). Furthermore, in order to evaluate in the predictive power of the collected features a multivariate way, we report the preliminary results of a machine learning model for predicting the initial therapeutic response. We trained a state-of-the-art algorithm combined to a sequential forward feature selection procedure. The model reached a median AUC value, accuracy, sensitivity, and specificity of 77.0%, 75%, 74.8%, and 83.3%, respectively. The features with greater informational power were gender, histotype, BMI, smoking habits, packs/year, and disease stage. Our preliminary data support the possible favorable correlation between innovative treatments and therapeutic response in patients with unresectable/advanced pleural mesothelioma. The small sample size does not allow concrete conclusions to be drawn; nevertheless, this work is the basis of an ongoing study that will also involve radiomics in a larger dataset.

[Efficacy of pralsetinib in a patient with advanced lung adenocarcinoma positive for RET rearrangement: the importance of Comprehensive Genomic Profiling.] / Efficacia di pralsetinib in un paziente con adenocarcinoma polmonare in stadio avanzato positivo per riarrangiamento di RET: l'importanza del Comprehensive Genomic Profiling.

Modern gene profiling techniques have allowed in recent years considerable progresses in the knowledge of molecular alterations in the context of non-small cell lung cancer (NSCLC). In some cases, these alterations have been recognized as having a pathogenic role and targeted therapies capable of inhibiting tumor proliferation by selective and specific blocking of the enzymatic activity of the related abnormal proteins have been developed. This has made it possible to improve the effectiveness of the treatments by minimizing toxicity. Today it is essential to apply Comprehensive Genomic Profiling methods also in clinical practice, in order to allow the best treatment available for each patient, possibly also in the context of clinical trials. Below we report the clinical history of a patient with advanced stage adenocarcinoma of the lung with molecular diagnosis of RET fusion, treated with pralsetinib with excellent clinical and radiological response and good tolerability. This clinical case emphasizes the importance of the broader molecular profiling in patients with advanced NSCLC (especially for non-squamous histology) from the diagnosis before starting first-line treatment.

Successful treatment of triple EGFR mutation T785A/L861Q/H297_E298 with afatinib.

Patients with non-small cell lung cancer (NSCLC) and uncommon epidermal growth factor receptor (EGFR) mutation are characterized by high heterogeneity, and globally considered to have a worse prognosis than patients with the two common mutations; exon 19 deletion, and exon 21 L858R. Nevertheless, some uncommon mutations do confer sensitivity to tyrosine kinase inhibitors (TKIs) which is comparable with common mutations. In particular, some compound EGFR mutations seem to be characterized by a favorable prognosis. Unfortunately, the rarity of complex EGFR mutations results in difficult clinical decision-making. Herein, to the best of our knowledge, we report the first case of an NSCLC patient with an EGFR triple mutation containing T785A/L861Q/H297_E298 who was successfully treated with afatinib.

Immune Checkpoint Inhibitors in Advanced NSCLC: [18F]FDG PET/CT as a Troubleshooter in Treatment Response.

INTRODUCTION: The aim of this study was to investigate whether [18F]FDG PET/CT-derived semi-quantitative parameters can predict immunotherapy treatment response in non-small cell lung cancer (NSCLC) patients. Secondly, immune-related adverse events (irAEs) and lymphoid cell-rich organs activation were evaluated. MATERIALS AND METHODS: Twenty-eight patients who underwent [18F]FDG PET/CT scans before and at first restaging therapy with immuno-checkpoint inhibitors (ICIs) were retrospectively analyzed. PET-based semi-quantitative parameters extracted from both scans were respectively: SUVmax and SUVpeak of the target lesion, whole-body metabolic tumor volume (MTVWB), and whole-body total lesion glycolysis (TLGWB), as well as their interval changes (ΔSUVmaxTL, ΔSUVpeakTL, ΔMTVWB, ΔTLGWB). These PET-derived parameters were correlated to controlled disease (CD) assessed by RECIST 1.1. IrAEs, if present, were also described and correlated with clinical benefit (CB). SUVmax of the spleen and bone marrow at restaging scans were also correlated to CB. RESULTS: The CD was achieved in 54% of patients. Out of 28 eligible patients, 13 (46%) experienced progressive disease (PD), 7 showed SD, 7 had PR, and only in one patient CR was achieved. ΔSUVmaxTL (p = 0.002) and ΔSUVpeakTL (p < 0.001) as well as ΔMTVWB (p < 0.001) and ΔTLGWB (p < 0.005) were significantly associated with PD vs. non-PD. IrAEs and lymphoid cell-rich organs activation did not correlate with CB. CONCLUSIONS: [18F]FDG PET/CT by using interval changes of PET-derived semi-quantitative parameters could represent a reliable tool in immunotherapy treatment response evaluation in NSCLC patients.

Early Progression in Non-Small Cell Lung Cancer (NSCLC) with High PD-L1 Treated with Pembrolizumab in First-Line Setting: A Prognostic Scoring System Based on Clinical Features.

BACKGROUND: Pembrolizumab is approved in monotherapy for the first-line (1L) of advanced or metastatic NSCLC patients with high PD-L1 (≥50%). Despite a proportion of patients achieve long-term survival, about one-third of patients experience detrimental survival outcomes, including early death, hyperprogression, and fast progression. The impact of clinical factors on early progression (EP) development has not been widely explored. METHODS: We designed a retrospective, multicenter study involving five Italian centers, in patients with metastatic NSCLC with PD-L1 ≥ 50%, treated with Pembrolizumab in a 1L setting. EP was defined as a progressive disease within three months from pembrolizumab initiation. Baseline clinical factors of patients with and without EP were collected and analyzed. Logistic regression was performed to identify clinical factors associated with EP and an EP prognostic score was developed based on the logistic model. RESULTS: Overall, 321 out of 336 NSCLC patients treated with 1L pembrolizumab provided all the data for the analysis. EP occurred in 137 (42.7%) patients; the median PFS was 3.8 months (95% CI: 2.9-4.7), and median OS was not reached in the entire study population. Sex, Eastern Cooperative Oncology Group (ECOG) performance status (PS), steroids, metastatic sites ≥2, and the presence of liver/pleural metastasis were confirmed as independent factors for EP by multivariate analysis. By combining these factors, we developed an EP prognostic score ranging from 0-13, with three-risk group stratification: 0-2 (good prognosis), 3-6 (intermediate prognosis), and 7-13 (poor prognosis). The area under the curve (AUC) of the model was 0.76 (95% CI: 0.70-0.81). CONCLUSIONS: We identified six clinical factors independently associated with EP. We developed a prognostic score model for EP-risk to potentially improve clinical practice and patient selection for 1L pembrolizumab in NSCLC with high PD-L1, in the real-world clinical setting.

Incidence of Infections and Predictors of Mortality During Checkpoint Inhibitor Immunotherapy in Patients With Advanced Lung Cancer: A Retrospective Cohort Study.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionized nonsmall cell lung cancer (NSCLC) treatment and significantly increased overall survival of patients. However, the incidence of concurrent infections and their management is still debated. METHODS: From August 2015 to October 2019, all consecutive patients with NSCLC who received nivolumab or pembrolizumab as first- or second-line therapy were retrospectively evaluated. At the time of analysis all patients had died. Clinical characteristics of patients, type of infections, and predictors of mortality were analyzed. RESULTS: A total of 118 patients were identified: 74 in the nivolumab group and 44 in the pembrolizumab group. At least 1 infection was recorded in 22% of the nivolumab-group versus 27% of the pembrolizumab-group (P = .178). In both groups, the main infection was pneumonia, followed by skin and soft tissue infections, urinary tract infections, and gastroenteritis. Crude mortality for first infection was 10.7%, followed by 25% and 40% for the second and third recurrence, respectively (p for trend = .146). No opportunistic infections were recorded. It is notable that, by Cox-regression model, the independent predictor of mortality was a higher Eastern Cooperative Oncology Group performance status at baseline (P < .001), whereas the multidisciplinary diagnosis and treatment of concurrent infections was associated with a reduced probability of mortality (adjusted hazard ratio = 0.50; 95% confidence interval = 0.30-0.83; P < .001). CONCLUSIONS: In patients with NSCLC treated with ICIs, multidisciplinary management of concurrent infections may reduce the risk of mortality. Further studies to investigate risk factors for infections, as well as appropriate management strategies and preventive measures in this setting, are warranted.

Psychological well-being in cancer outpatients during COVID-19.

PURPOSE: The psychological status of cancer outpatients receiving anti-neoplastic treatment during the lockdown in a Italian non-COVID Cancer Center, was been investigated with the following aims: to measure the levels of post-traumatic stress symptoms, depression and anxiety; to compare patients with different cancer sites; to compare the anxiety and depression levels measured in this emergency period between cancer and non-cancer patients and between cancer patients before and after the emergency. METHODS: The following questionnaires were used: The Hospital Anxiety and Depression Scale (HADs) and the Impact of Event Scale-Revised (IES-R).Worries regarding the COVID-19 on patients' lives, socio-demographic and clinical details were collected using a brief structured questionnaire. RESULTS: One-hundred seventy-eight outpatients were enrolled. We found that 55% of patients were above the cut-off for HADS general scale and 23.7% had severe level of PTSD. The 68% of patients declared that their worries have increased during the pandemic especially for women. Patients with lung cancer have higher general distress compared with patients with breast cancer and lymphoma. The non cancer sample had values significantly higher both for the IES-R scales and for HADS Depression subscale. Finally, cancer patients who experienced the health emergency showed higher levels of anxiety than those measured 2 years ago. CONCLUSION: Cancer out-patients of the present sample have severe post-traumatic stress symptoms and psychological distress, those with lung cancer are at higher risk and may need special attention. Non-oncological subjects have higher depression levels than cancer patients.