A preliminary study on the diagnostic performance of the uPath PD-L1 (SP263) artificial intelligence (AI) algorithm in patients with NSCLC treated with PD-1/PD-L1 checkpoint blockade.

Objective: The uPath PD-L1 (SP263) is an AI-based platform designed to aid pathologists in identifying and quantifying PD-L1 positive tumor cells in non-small cell lung cancer (NSCLC) samples stained with the SP263 assay. Methods: In this preliminary study, we explored the diagnostic performance of the uPath PD-L1 algorithm in defining PD-L1 tumor proportion score (TPS) and predict clinical outcomes in a series of patients with advanced stage NSCLC treated with single agent PD-1/PD-L1 checkpoint blockade previously assessed with the SP263 assay in clinical practice. Results: 44 patients treated from August 2015 to January 2019 were included, with baseline PD-L1 TPS of ≥ 50%, 1-49% and < 1% in 38.6%, 25.0% and 36.4%, respectively. The median uPath PD-L1 score was 6 with a significant correlation with the baseline PD-L1 TPS (r: 0.83, p < 0.01). However, only 27 cases (61.4%) were scored within the same clinically relevant range of expression (≥ vs < 50%). In the study population the baseline PD-L1 TPS was not significantly associated with clinical outcomes, while the uPath PD-L1 score showed a good diagnostic ability for the risk of death at the ROC curve analysis [AUC: 0.81 (95%CI: 0.66-0.91), optimal cut-off of ≥ 3.2], resulting in 19 patients (43.2%) being u-Path low and 25 patients (56.8%) being uPath high. The objective response rate in uPath high and low was 51.6% and 25.0% (p = 0.1), respectively, although the uPath was significantly associated with overall survival (OS, HR 2.45, 95%CI: 1.19-5.05) and progression free survival (PFS, HR 3.04, 95%CI: 1.51-6.14). At the inverse probability of treatment weighting analysis used to balance baseline covariates, the uPath categories confirmed to be independently associated with OS and PFS. Conclusions: This preliminary analysis suggests that AI-based, digital pathology tools such as uPath PD-L1 (SP263) can be used to optimize already available biomarkers for immune-oncology treatment in patients with NSCLC.

Induction chemotherapy backbone in frail patients with advanced NSCLC treated with chemotherapy plus pembrolizumab: a single institution retrospective audit of dose intensities from modified regimens.

Guidelines historically recommended mono-chemotherapy for the 1st line treatment of elderly patients with non-small cell lung cancer (NSCLC) and poor performance status (PS). Nowadays, there is no clear indication whether chemo-immunotherapy (chemo-IO) combinations can be effectively delivered in this population. We collected induction chemotherapy data in consecutive patients with advanced NSCLC treated with carboplatin-based chemotherapy regimens plus pembrolizumab, to compute the received dose intensity (RDI) from standard regimens or patient-tailored regimens modified due to age, comorbidities and PS. Comorbidities were stratified according to the comorbidity-polypharmacy score (CPS). The established cut-off of ≥85% for RDI was used to define adequate delivery. 116 pts were treated from Feb-20 to July-23, of whom 96 and 20 with non-squamous and squamous NSCLC, treated with carboplatin-pemetrexed or carboplatin-paclitaxel doublets plus pembrolizumab, respectively. The majority of patients were aged ≥ 70 years (52.6%), the median CPS was 5, with 58.6% having a CPS ≥5, whilst 47.4%, 44.8% and 7.8% had an Eastern Cooperative Oncology Group (ECOG) - PS of 0, 1 and 2, respectively. PD-L1 TPS were <1% in 31.9% and 1-49% in 65.4%. Overall, 47.4% received a priori modified regimens due to poor PS, age, or comorbidities. Among patients with non-squamous NSCLC, median received doses of carboplatin and pemetrexed were 1.37 AUC/week and 138.8 mg/m2/week, with RDIs of 86% and 75% (p < 0.01) for patients treated with standard or modified regimens, respectively. Of note, the RDI was 57.9% among patients with ECOG-PS 2. However, patients treated with modified regimens experienced similar toxicities as those treated with standard regimens, despite being older (p < 0.01), with higher PS (p < 0.01) and more comorbid (p = 0.03). Patients treated with modified regimens achieved a shorter survival (7.1 vs 13.9 months), which is comparable to IO-free historical controls. Among patients with squamous NSCLC, 90% received modified regimens upfront, with median received doses of carboplatin and paclitaxel of 1.19 AUC/week and 40 mg/m2/week, and an overall RDI of 73.5%. Although regimen modifications ensure a safe administration of chemotherapy plus pembrolizumab in frail patients, the RDI seems to be subtherapeutic, especially in those with squamous histology. Dedicated trials are needed to implement combination strategies in this population.

Circulating receptor activator of nuclear factor kappa-B ligand (RANKL) levels predict response to immune checkpoint inhibitors in advanced non-small cell lung cancer (NSCLC).

BACKGROUND: Receptor activator of nuclear factor kappa-B ligand (RANKL) can directly promote tumor growth and indirectly support tumor immune evasion by altering the tumor microenvironment and immune cell responses. This study aimed to assess the prognostic significance of soluble RANKL in patients with advanced non-small cell lung cancer (NSCLC) receiving programmed cell death 1 (PD1)/programmed death-ligand 1 (PDL1) checkpoint inhibitor therapy. METHODS: Plasma RANKL levels were measured in 100 patients with advanced NSCLC without bone metastases undergoing monotherapy with PD1/PDL1 checkpoint inhibitors. To establish the optimal cut-off value, we used the Cutoff Finder package in R. Survival curves for four distinct patient groups, according to their RANKL and PDL1 levels (high or low), were generated using the Kaplan-Meier method and compared with the log-rank test. The Cox regression model calculated HRs and 95% CIs for overall survival (OS) and progression-free survival (PFS). RESULTS: The optimal RANKL cut-off was established at 280.4 pg/mL, categorizing patients into groups with high or low RANKL levels. A significant association was observed between increased RANKL concentrations and decreased survival rates at 24 months, only within the subgroup expressing high levels of PDL1 (p=0.002). Additionally, low RANKL levels in conjunction with elevated PDL1 expression correlated with improved PFS (median 22 months, 95% CI 6.70 to 50 vs median 4 months, 95% CI 3.0 to 7.30, p=0.009) and OS (median 26 months, 95% CI 20 to not reached vs median 7 months, 95% CI 6 to 13, p=0.003), indicating RANKL's potential as an indicator of adverse prognosis in these patients. Multivariate analysis identified RANKL as an independent negative prognostic factor for both PFS and OS, regardless of other clinicopathological features. CONCLUSION: These results highlight the prognostic and predictive value of RANKL specifically in patients with high PDL1 expression.

Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports.

This paper explores the potential of leveraging electronic health records (EHRs) for personalized health research through the application of artificial intelligence (AI) techniques, specifically Named Entity Recognition (NER). By extracting crucial patient information from clinical texts, including diagnoses, medications, symptoms, and lab tests, AI facilitates the rapid identification of relevant data, paving the way for future care paradigms. The study focuses on Non-small cell lung cancer (NSCLC) in Italian clinical notes, introducing a novel set of 29 clinical entities that include both presence or absence (negation) of relevant information associated with NSCLC. Using a state-of-the-art model pretrained on Italian biomedical texts, we achieve promising results (average F1-score of 80.8%), demonstrating the feasibility of employing AI for extracting biomedical information in the Italian language.

APOLLO 11 Project, Consortium in Advanced Lung Cancer Patients Treated With Innovative Therapies: Integration of Real-World Data and Translational Research.

INTRODUCTION: Despite several therapeutic efforts, lung cancer remains a highly lethal disease. Novel therapeutic approaches encompass immune-checkpoint inhibitors, targeted therapeutics and antibody-drug conjugates, with different results. Several studies have been aimed at identifying biomarkers able to predict benefit from these therapies and create a prediction model of response, despite this there is a lack of information to help clinicians in the choice of therapy for lung cancer patients with advanced disease. This is primarily due to the complexity of lung cancer biology, where a single or few biomarkers are not sufficient to provide enough predictive capability to explain biologic differences; other reasons include the paucity of data collected by single studies performed in heterogeneous unmatched cohorts and the methodology of analysis. In fact, classical statistical methods are unable to analyze and integrate the magnitude of information from multiple biological and clinical sources (eg, genomics, transcriptomics, and radiomics). METHODS AND OBJECTIVES: APOLLO11 is an Italian multicentre, observational study involving patients with a diagnosis of advanced lung cancer (NSCLC and SCLC) treated with innovative therapies. Retrospective and prospective collection of multiomic data, such as tissue- (eg, for genomic, transcriptomic analysis) and blood-based biologic material (eg, ctDNA, PBMC), in addition to clinical and radiological data (eg, for radiomic analysis) will be collected. The overall aim of the project is to build a consortium integrating different datasets and a virtual biobank from participating Italian lung cancer centers. To face with the large amount of data provided, AI and ML techniques will be applied will be applied to manage this large dataset in an effort to build an R-Model, integrating retrospective and prospective population-based data. The ultimate goal is to create a tool able to help physicians and patients to make treatment decisions. CONCLUSION: APOLLO11 aims to propose a breakthrough approach in lung cancer research, replacing the old, monocentric viewpoint towards a multicomprehensive, multiomic, multicenter model. Multicenter cancer datasets incorporating common virtual biobank and new methodologic approaches including artificial intelligence, machine learning up to deep learning is the road to the future in oncology launched by this project.

Clinical evidence and adverse event management update of patients with RET- rearranged advanced non-small-cell lung cancer (NSCLC) treated with pralsetinib.

Current non-small cell lung cancer (NSCLC) management relies on genome-driven precision oncology thus shifting treatment paradigm towards biomarker-guided tumor-agnostic approaches. Recently, rearranged during transfection (RET) has been endorsed as tissue-agnostic target with sensitivity to RET inhibition. There are currently two selective RET tyrosine kinase inhibitors, pralsetinib and selpercatinib. The recent introduction of pralsetinib in the treatment algorithm of RET-rearranged tumor along with the mounting clinical evidence of pralsetinib durable activity from both randomized and observational studies holds the potential to disclose new avenues in the management of RET fusion positive NSCLC patients. Our narrative review aims to discuss the available clinical evidence on pralsetinib efficacy, particularly on brain metastases, and tolerability profile. In addition, our work explores the relevance of detecting RET fusions upfront in the disease history of patients with NSCLC.

New options and open issues in the management of unresectable stage III and in early-stage NSCLC: A report from an expert panel of Italian medical and radiation oncologists - INTERACTION group.

IMPORTANCE: After the PACIFIC trial, concurrent chemo-radiotherapy followed by consolidation therapy with durvalumab for 1 year (limited to PD-L1 tumour proportion score ≥ 1% in the EMA region) is the firmly established standard of care treatment for unresectable NSCLC patients. Several relevant questions are emerging with the growing use of this approach, posing novel challenges in clinical practice. Treatment of oncogene-addicted NSCLCs, management of mediastinal disease recurrence after surgery and the optimal management of patients progressing during or after durvalumab are now some of the most clinically relevant issues. OBSERVATIONS: Patients with unresectable NSCLC harbouring EGFR and HER2 mutations or ALK/ROS1/RET /NTRK1,2,3 rearrangements are unresponsive to immunotherapy. Importance of knowing the tumour genotyping (NGS, preferable DNA and RNA) from the earliest stages of NSCLC, also for the possible use of immunotherapy both in the adjuvant and perioperative setting. In case of mediastinal disease recurrence after surgery, re-biopsy is essential to re-determine the histological and biological characteristics of the disease and the distinction of recurrence in curable and non-curable disease is of pivotal important for the optimal management of subsequent treatments. CONCLUSIONS AND RELEVANCE: Treatment of stage III NSCLC has always been controversial and challenging: Multidisciplinary approach is mandatory and defining resectability is a critical issue. Chemo-radiotherapy followed by maintenance Durvalumab is now the standard of treatment. Herein, we provide a comprehensive overview of the key challenges and open questions that we are currently facing in clinical practice, in unresectable stage III and in early-stage NSCLC, identifying the knowledge gaps and the possible solutions.

[Management of the patient with extensive stage microcytoma. The importance of collaboration between oncology and radiotherapy.] / Gestione del paziente con microcitoma a stadio esteso. L'importanza della collaborazione tra oncologia e radioterapia.

Small cell lung cancer (SCLC) represents one of the most complex challenges in the oncological field, with a very slow advancement in research, contrary to the rapid evolutionary of the disease. For nearly two years, the mainstay of treatment for extensive-stage disease (ES-SCLC) has been the combination of platinum-based chemotherapy and immunotherapy, following the approval of atezolizumab and subsequently durvalumab, based on a modest, but significant improvement in overall survival compared to chemotherapy alone. The poor prognosis after the failure of first-line treatment explains the need to maximize the duration and efficacy of up-front systemic therapies, in particular, the emerging role of radiotherapy, also in ES-SCLC. On 10 November 2022, a meeting concerning the integrated treatment of patients with ES-SCLC was held in Rome and was attended by 12 specialists in oncology and radiotherapy from various centers in Lazio, under the direction of Federico Cappuzzo, Emilio Bria and Sara Ramella. The aim of the meeting was to share their clinical experience and to provide a series of practical indications in order to support physicians in the correct integration between first-line chemo-immunotherapy and radiotherapy treatments in ES-SCLC.

Type 2 Diabetes Mellitus and Efficacy Outcomes from Immune Checkpoint Blockade in Patients with Cancer.

PURPOSE: No evidence exists as to whether type 2 diabetes mellitus (T2DM) impairs clinical outcome from immune checkpoint inhibitors (ICI) in patients with solid tumors. EXPERIMENTAL DESIGN: In a large cohort of ICI recipients treated at 21 institutions from June 2014 to June 2020, we studied whether patients on glucose-lowering medications (GLM) for T2DM had shorter overall survival (OS) and progression-free survival (PFS). We used targeted transcriptomics in a subset of patients to explore differences in the tumor microenvironment (TME) of patients with or without diabetes. RESULTS: A total of 1,395 patients were included. Primary tumors included non-small cell lung cancer (NSCLC; 54.7%), melanoma (24.7%), renal cell (15.0%), and other carcinomas (5.6%). After multivariable analysis, patients on GLM (n = 226, 16.2%) displayed an increased risk of death [HR, 1.29; 95% confidence interval (CI),1.07-1.56] and disease progression/death (HR, 1.21; 95% CI, 1.03-1.43) independent of number of GLM received. We matched 92 metformin-exposed patients with 363 controls and 78 patients on other oral GLM or insulin with 299 control patients. Exposure to metformin, but not other GLM, was associated with an increased risk of death (HR, 1.53; 95% CI, 1.16-2.03) and disease progression/death (HR, 1.34; 95% CI, 1.04-1.72). Patients with T2DM with higher pretreatment glycemia had higher neutrophil-to-lymphocyte ratio (P = 0.04), while exploratory tumoral transcriptomic profiling in a subset of patients (n = 22) revealed differential regulation of innate and adaptive immune pathways in patients with T2DM. CONCLUSIONS: In this study, patients on GLM experienced worse outcomes from immunotherapy, independent of baseline features. Prospective studies are warranted to clarify the relative impact of metformin over a preexisting diagnosis of T2DM in influencing poorer outcomes in this population.

Immunotherapy for Metastatic Non-Small Cell Lung Cancer: Therapeutic Advances and Biomarkers.

Immunotherapy has revolutionized the treatment paradigm of non-small cell lung cancer and improved patients' prognosis. Immune checkpoint inhibitors have quickly become standard frontline treatment for metastatic non-oncogene addicted disease, either as a single agent or in combination strategies. However, only a few patients have long-term benefits, and most of them do not respond or develop progressive disease during treatment. Thus, the identification of reliable predictive and prognostic biomarkers remains crucial for patient selection and guiding therapeutic choices. In this review, we provide an overview of the current strategies, highlighting the main clinical challenges and novel potential biomarkers.

Pralsetinib in RET fusion-positive non-small-cell lung cancer: A real-world data (RWD) analysis from the Italian expanded access program (EAP).

OBJECTIVES: The selective RET-inhibitor pralsetinib has shown therapeutic activity in early clinical trials in patients with non-small cell lung cancer (NSCLC) harboring rearranged during transfection (RET) gene fusions. To date, the real-world efficacy of pralsetinib in this population is unknown. MATERIALS AND METHODS: A retrospective efficacy and safety analysis was performed on data from patients with RET-fusion positive NSCLC enrolled in the pralsetinib Italian expanded access program between July 2019 and October 2021. RESULTS: Overall, 62 patients with RET-fusion positive NSCLC received pralsetinib at 20 Italian centers. Next-generation sequencing was used to detect RET alterations in 44 patients (73 %). The most frequent gene fusion partner was KIF5B (75 % of 45 evaluable). Median age was 62 years (range, 36-90), most patients were female (57 %) and never smokers (53 %). Brain metastases were known in 18 patients (29.5 %) at the time of pralsetinib treatment. 13 patients were treatment naïve (unfit for chemotherapy), 48 were pretreated (median number of previous lines: 1, range, 1-4). The objective response rate (ORR) was 66 % [95 % confidence interval (CI), 53-81] in the evaluable population (n = 59). The disease control rate (DCR) was 79 %. After a median follow-up of 10.1 months, the median progression free survival was 8.9 months (95 %CI, 4.7-NA). In patients with measurable brain metastases (n = 6) intracranial ORR was 83 %, intracranial DCR was 100 %. Overall, 83.6 % of patients experienced any-grade treatment-related adverse events (TRAEs), 39 % grade 3 or greater (G ≥ 3). The most common G ≥ 3 TRAEs were neutropenia (9.8 %), dry mouth/oral mucositis (8.2 %), and thrombocytopenia (6.6 %). Seven patients (12 %) discontinued pralsetinib due to TRAEs, twenty-six had at least one dose level modification due to TRAEs. Two treatment-related deaths were observed (1 sepsis, 1 typhlitis). CONCLUSIONS: In the real-world setting, pralsetinib confirmed durable systemic activity and intracranial response in RET-fusion positive NSCLC. Toxicity profile was consistent with previous reports.

Large-Scale Profiling of Extracellular Vesicles Identified miR-625-5p as a Novel Biomarker of Immunotherapy Response in Advanced Non-Small-Cell Lung Cancer Patients.

Immune checkpoint inhibitors (ICIs) are largely used in the treatment of patients with advanced non-small-cell lung cancer (NSCLC). Novel biomarkers that provide biological information that could be useful for clinical management are needed. In this respect, extracellular vesicles (EV)-associated microRNAs (miRNAs) that are the principal vehicle of intercellular communication may be important sources of biomarkers. We analyzed the levels of 799 EV-miRNAs in the pretreatment plasma of 88 advanced NSCLC patients who received anti-PD-1 therapy as single agent. After data normalization, we used a two-step approach to identify candidate biomarkers associated to both objective response (OR) by RECIST and longer overall survival (OS). Univariate and multivariate analyses including known clinicopathologic variables and new findings were performed. In our cohort, 24/88 (27.3%) patients showed OR by RECIST. Median OS in the whole cohort was 11.5 months. In total, 196 EV-miRNAs out 799 were selected as expressed above background. After multiplicity adjustment, abundance of EV-miR-625-5p was found to be correlated with PD-L1 expression and significantly associated to OR by RECIST (p = 0.0366) and OS (p = 0.0031). In multivariate analysis, PD-L1 staining and EV-miR-625-5p levels were constantly associated to OR and OS. Finally, we showed that EV-miR-625-5p levels could discriminate patients with longer survival, in particular in the class expressing PD-L1 ≥50%. EV-miRNAs represent a source of relevant biomarkers. EV-miR-625-5p is an independent biomarker of response and survival in ICI-treated NSCLC patients, in particular in patients with PD-L1 expression ≥50%.

High familial burden of cancer correlates with improved outcome from immunotherapy in patients with NSCLC independent of somatic DNA damage response gene status.

Family history of cancer (FHC) is a hallmark of cancer risk and an independent predictor of outcome, albeit with uncertain biologic foundations. We previously showed that FHC-high patients experienced prolonged overall (OS) and progression-free survival (PFS) following PD-1/PD-L1 checkpoint inhibitors. To validate our findings in patients with NSCLC, we evaluated two multicenter cohorts of patients with metastatic NSCLC receiving either first-line pembrolizumab or chemotherapy. From each cohort, 607 patients were randomly case-control matched accounting for FHC, age, performance status, and disease burden. Compared to FHC-low/negative, FHC-high patients experienced longer OS (HR 0.67 [95% CI 0.46-0.95], p = 0.0281), PFS (HR 0.65 [95% CI 0.48-0.89]; p = 0.0074) and higher disease control rates (DCR, 86.4% vs 67.5%, p = 0.0096), within the pembrolizumab cohort. No significant associations were found between FHC and OS/PFS/DCR within the chemotherapy cohort. We explored the association between FHC and somatic DNA damage response (DDR) gene alterations as underlying mechanism to our findings in a parallel cohort of 118 NSCLC, 16.9% of whom were FHC-high. The prevalence of ≥ 1 somatic DDR gene mutation was 20% and 24.5% (p = 0.6684) in FHC-high vs. FHC-low/negative, with no differences in tumor mutational burden (6.0 vs. 7.6 Mut/Mb, p = 0.6018) and tumor cell PD-L1 expression. FHC-high status identifies NSCLC patients with improved outcomes from pembrolizumab but not chemotherapy, independent of somatic DDR gene status. Prospective studies evaluating FHC alongside germline genetic testing are warranted.

Clinical outcomes of NSCLC patients experiencing early immune-related adverse events to PD-1/PD-L1 checkpoint inhibitors leading to treatment discontinuation.

BACKGROUND: The prognostic relevance of early immune-related adverse events (irAEs) in patients affected by non-small cell lung cancer (NSCLC) upon immunotherapy is not fully understood. METHODS: The Leading to Treatment Discontinuation cohort included 24 patients experiencing severe irAEs after one of two administrations of single anti-PD-1/PD-L1 in any line setting for metastatic NSCLC between November 2015 and June 2019. The control cohort was composed of 526 patients treated with single anti-PD-1/PD-L1 in any line setting with no severe irAE reported. The primary end points were median progression-free survival, overall survival, objective response rate, risk of progression of disease and risk of death. The correlation of clinic pathological features with early severe irAEs represented the secondary end point. RESULTS: Median PFS was 9.3 and 8.4 months, median OS was 12.0 months and 14.2 months at a median follow-up of 18.1 and 22.6 months in the LTD cohort and in the control cohort, respectively. The ORR was 40% (95% CI 17.2-78.8) in the LTD cohort and 32.7% (95% CI 27.8-38.2) in the control cohort. The risk of disease progression was higher in the LTD cohort (HR 2.52 [95% 1.10-5.78], P = .0288). CONCLUSIONS: We found no survival benefit in LTD cohort compared to the control cohort. However, early and severe irAEs might underly an immune anti-tumor activation. We identified a significant association with first-line immune checkpoints inhibitors treatment and good PS. Further studies on risk prediction and management of serious and early irAEs in NSCLC patients are needed.

Clinical insights and prognostic factors from an advanced biliary tract cancer case series: a real-world analysis.

Advanced biliary tract cancer (aBTC) comprises a heterogeneous group of rare malignancies with dismal prognosis. Given the scarcity of prospective evidence, the aim of this study was to derive clinically useful insights and prognostic factors from a large, real-world series of aBTC. Clinicopathologic variables and treatment outcomes were retrospectively collected involving 940 patients diagnosed with aBTC between 2001 and 2017, and treated with first-line chemotherapy (CT1) at 14 Italian medical oncology institutions. Median overall survival (OS) was 10.3 months (CI95% 9.5-11.1). CT1 with gemcitabine-Platinum salts doublets achieved OS of 11.7 months vs 7.5 with gemcitabine alone (HR 0.67, p < 0.001). However, a clear temporal trend towards improved OS could not be demonstrated. Radical surgery of recurrent disease achieved a relapse-free survival of 5.9 months. A substantial minority (44.5%) of patients were able to receive a second-line chemotherapy, which achieved a response rate of 7.6%, and disease control in 30% of patients with no significant differences between combination regimens and monotherapies. In a large retrospective series of real-world aBTC, outcomes of standard CT1 closely resembled those of the registrational trials. A limited set of easily retrievable independent prognostic factors was defined. Further research is needed on second-line regimens.

[Management of small cell lung cancer patient in the regions of Lazio, Umbria and Sardinia.] / Gestione del paziente con microcitoma nelle regioni Lazio, Umbria e Sardegna.

Small cell lung cancer (SCLC) is an aggressive disease, difficult to treat. There have been no significant therapeutic advances over platinum and etoposide chemotherapy in the last 20 years until the introduction of immunotherapy. In 2020 atezolizumab, an immune checkpoint inhibitor against PD-L1 was approved in Italy in combination with carboplatin and etoposide for the first-line treatment of patients with extensive stage disease (ES-SCLC), becoming the new standard treatment. On May 20, 2021, a virtual meeting, directed by profs. Federico Cappuzzo and Emilio Bria, was held in which 14 clinicians from different oncology centers in Lazio, Umbria and Sardinia discussed the issues of ES-SCLC patients treatment, after the advent of immunotherapy. The aim of the meeting was to share their clinical experience and to provide a series of practical indications that can support clinicians in the management of ES-SCLC patients in first-line with chemo-immunotherapy.

Exploring the role of respiratory microbiome in lung cancer: A systematic review.

Giving the potential contribute in cancer initiation and progression, lung microbiota represents a promising topic in cancer research, although still unexplored. We performed a systematic literature search to identify clinical studies evaluating lung microbiota composition, its correlation with lung cancer patients' clinico-pathological features and prognosis. Of the identified 370 studies, 21 were eligible and included. Although studies were heterogeneous, lung cancer resulted to be enriched in peculiar microbial communities, with differences in composition and diversity according to clinico-pathological parameters. Few studies explored how lung microbiota influences cancer outcome. In light of these findings and borrowing the suggestions coming from gut microbiota, we speculate that respiratory microbiome may influence pathogenesis, progression and outcome of lung cancer. Taking advantage of the experience of chronical lung diseases, prospective studies should be designed to evaluate lung microbiota changes throughout any phase of lung cancer course, particularly with the advent of immunotherapy as pivotal treatment.

PD-1/PD-L1 checkpoint inhibitors during late stages of life: an ad-hoc analysis from a large multicenter cohort.

BACKGROUND: The favourable safety profile and the increasing confidence with immune checkpoint inhibitors (ICIs) might have boosted their prescription in frail patients with short life expectancies, who usually are not treated with standard chemotherapy. METHODS: The present analysis aims to describe clinicians' attitudes towards ICIs administration during late stages of life within a multicenter cohort of advanced cancer patients treated with single agent PD-1/PD-L1 checkpoint inhibitors in Italy. RESULTS: Overall, 1149 patients with advanced cancer who received single agent PD-1/PD-L1 checkpoint inhibitors were screened. The final study population consisted of 567 deceased patients. 166 patients (29.3%) had received ICIs within 30 days of death; among them there was a significantly higher proportion of patients with ECOG-PS ≥ 2 (28.3% vs 11.5%, p < 0.0001) and with a higher burden of disease (69.3% vs 59.4%, p = 0.0266). In total, 35 patients (6.2%) started ICIs within 30 days of death; among them there was a higher proportion of patients with ECOG-PS ≥ 2 (45.7% vs 14.5%, p < 0.0001) and with a higher burden of disease (82.9% vs 60.9%, p = 0.0266). Primary tumors were significantly different across subgroups (p = 0.0172), with a higher prevalence of NSCLC patients (80% vs 60.9%) among those who started ICIs within 30 days of death. Lastly, 123 patients (21.7%) started ICIs within 3 months of death. Similarly, within this subgroup there was a higher proportion of patients with ECOG-PS ≥ 2 (29.3% vs 12.8%, p < 0.0001), with a higher burden of disease (74.0% vs 59.0%, p = 0.0025) and with NSCLC (74.0% vs 58.8%, p = 0.0236). CONCLUSION: Our results confirmed a trend toward an increasing ICIs prescription in frail patients, during the late stages of life. Caution should be exercised when evaluating an ICI treatment for patients with a poor PS and a high burden of disease.

Predictive ability of a drug-based score in patients with advanced non-small-cell lung cancer receiving first-line immunotherapy.

BACKGROUND: We previously demonstrated the cumulative poor prognostic role of concomitant medications on the clinical outcome of patients with advanced cancer treated with immune checkpoint inhibitors, creating and validating a drug-based prognostic score to be calculated before immunotherapy initiation in patients with advanced solid tumours. This 'drug score' was calculated assigning score 1 for each between proton-pump inhibitor and antibiotic administration until a month before cancer therapy initiation and score 2 in case of corticosteroid intake. The good risk group included patients with score 0, intermediate risk with score 1-2 and poor risk with score 3-4. METHODS: Aiming at validating the prognostic and putative predictive ability depending on the anticancer therapy, we performed the present comparative analysis in two cohorts of advanced non-small-cell lung cancer (NSCLC), respectively, receiving first-line pembrolizumab or chemotherapy through a random case-control matching and through a pooled multivariable analysis including the interaction between the computed score and the therapeutic modality (pembrolizumab vs chemotherapy). RESULTS: Nine hundred fifty and 595 patients were included in the pembrolizumab and chemotherapy cohorts, respectively. After the case-control random matching, 589 patients from the pembrolizumab cohort and 589 from the chemotherapy cohort were paired, with no statistically significant differences between the characteristics of the matched subjects. Among the pembrolizumab-treated group, good, intermediate and poor risk evaluable patients achieved an objective response rate (ORR) of 50.0%, 37.7% and 23.4%, respectively, (p < 0.0001), whereas among the chemotherapy-treated group, patients achieved an ORR of 37.0%, 40.0% and 32.4%, respectively (p = 0.4346). The median progression-free survival (PFS) of good, intermediate and poor risk groups was 13.9 months, 6.3 months and 2.8 months, respectively, within the pembrolizumab cohort (p < 0.0001), and 6.2 months, 6.2 months and 4.3 months, respectively, within the chemotherapy cohort (p = 0.0280). Among the pembrolizumab-treated patients, the median overall survival (OS) for good, intermediate and poor risk patients was 31.4 months, 14.5 months and 5.8 months, respectively, (p < 0.0001), whereas among the chemotherapy-treated patients, it was 18.3 months, 16.8 months and 10.6 months, respectively (p = 0.0003). A similar trend was reported considering the two entire populations. At the pooled analysis, the interaction term between the score and the therapeutic modality was statistically significant with respect to ORR (p = 0.0052), PFS (p = 0.0003) and OS (p < 0.0001), confirming the significantly different effect of the score within the two cohorts. CONCLUSION: Our 'drug score' showed a predictive ability with respect to ORR in the immunotherapy cohort only, suggesting it might be a useful tool for identifying patients unlikely to benefit from first-line single-agent pembrolizumab. In addition, the prognostic stratification in terms of PFS and OS was significantly more pronounced among the pembrolizumab-treated patients.