Alessio Stefani

Objectives: Precision medicine has improved outcomes in advanced lung cancer, but its implementation remains limited. The prospective LANTERN project (NCT05802771) involves comprehensive clinical and multi-omics data collection. Here, we report preliminary genomic findings, focusing on the prognostic impact of gene mutations, pairwise co-mutational patterns, and their stage-specific association with PD-L1 analysis on patients speciments. Methods: This prospective, multicenter observational study enrolled 271 consecutive patients between March 2023 and December 2024, including 137 with stage I–III and 134 with stage IV disease. Comprehensive genomic profiling was performed using the TruSight Oncology 500 High Throughput assay to assess single nucleotide variants, insertions/deletions, copy number alterations, tumor mutational burden and microsatellite instability. The prognostic role of mutations and co-mutations was evaluated, together with associations between genomic alterations and PD-L1 expression. Results: At least one Tier I–II alteration was identified in 84% of patients. TP53 (39%), KRAS (27%), EGFR (15%), and STK11 (11%) were the most frequently altered genes. Several co-mutations were associated with worse overall survival, including TP53/STK11, STK11/LRP1B, STK11/RB1 and RB1/LRP1B, and with reduced disease-free survival, particularly TP53/KRAS, TP53/STK11, KRAS/STK11 and STK11/LRP1B. In advanced disease, STK11 and KEAP1 mutations were associated with low PD-L1 expression, whereas PIK3CA, PTEN and ARID1A mutations correlated with higher PD-L1 expression in early-stage tumors. Conclusions: Comprehensive genomic profiling reveals substantial molecular heterogeneity across lung cancer stages and identifies co-mutational patterns with prognostic and immune-related relevance, supporting broader molecular testing at diagnosis.

Introduction: Perioperative chemoimmunotherapy improves outcomes in resectable non-small-cell lung cancer (NSCLC), but the absolute benefit-harm balance of treatment intensification, particularly postoperative immunotherapy continuation, remains uncertain.Methods: We conducted a systematic review and meta-analysis of randomized phase II-III trials evaluating perioperative chemoimmunotherapy in resectable NSCLC. PubMed, CENTRAL, Embase and major oncology congresses were consulted. Efficacy and safety outcomes were translated into number needed to treat to benefit (NNTB), number needed to treat to harm (NNTH) and likelihood of being helped or harmed (LHH). Scenario analyses estimated the event-free survival (EFS) hazard ratios (HRs) required to reach predefined postoperative LHH thresholds.Results: Six trials including 3503 patients were included. Perioperative chemoimmunotherapy improved pathological complete response (pCR) (OR, 7.38; 95% CI, 4.81-11.32), corresponding to an NNTB of 4.6 (95% CI, 3.5-6.9), and EFS, with a pooled HR of 0.57 (95% CI, 0.50-0.65) and an NNTB of 5.8. Grade 3-4 treatment-related adverse events yielded a NNTH of 21.1, with favourable LHH values for pCR, major pathological response (MPR) and EFS. In the postoperative phase, grade 3-4 adverse events yielded an NNTH of 15.4. Threshold analysis showed that EFS HRs of 0.82, 0.67 and 0.53 were required to reach LHH values of 1, 2 and 3, respectively; corresponding thresholds for discontinuation were 0.84, 0.69 and 0.55.Conclusions: Perioperative chemoimmunotherapy shows a favourable benefit-harm profile in resectable NSCLC. LHH threshold analysis suggests that postoperative immunotherapy value depends on whether achievable EFS benefit offsets toxicity, supporting prospective response and risk adapted trials.

Background/Objectives: Perioperative chemo-immunotherapy (CHT-IO) has emerged as a standard treatment strategy for resectable stage II–IIIB NSCLC. However, data regarding surgical feasibility, mini-invasive surgery rates, perioperative outcomes, and postoperative complications in real-world single-center experiences remain limited. Methods: A retrospective single-center analysis was performed including consecutive patients with locally advanced NSCLC treated with perioperative chemo-immunotherapy between March 2024 and March 2026. Patients received platinum-based chemotherapy combined with pembrolizumab or durvalumab, followed by surgical resection with curative intent. Surgical, pathological, and postoperative outcomes were analyzed. Results: Thirty patients received neoadjuvant CHT-IO, of which 25 (83.3%) underwent surgical resection. Reasons for failure to proceed to surgery included treatment-related toxicity or deterioration in performance status (n = 3), disease progression (n = 1), and patient refusal (n = 1). Lobectomy was the most performed procedure (64%), while a minimally invasive approach (uniportal VATS) was adopted in 44% of cases. Moderate-to-severe pleural adhesions (64%) and hilar fibrosis (60%) were observed intraoperatively. Despite these technical challenges, conversion to thoracotomy was required in only one case (4%), no intraoperative complications occurred, and complete (R0) resection was achieved in 96% of patients. Pathological complete response and major pathological response were observed in 36% and 52% of cases, respectively. Postoperative complications occurred in 56% of patients, although most were Clavien–Dindo grade I–II. The presence of comorbidities was the only factor associated with an increased risk of postoperative complications (OR 10.00, 95% CI 0.99–100.46; p = 0.05). Median length of hospital stay was 5.65 ± 2.04 days. One postoperative death due to septic complications was recorded. Conclusions: In this real-world monocentric experience, the combination of perioperative CH-ICIs and surgical resection (including mini-invasive approach) was safe and feasible in patients with locally advanced NSCLC. High rates of complete (R0) resection and encouraging pathological responses were observed, consistent with outcomes reported in randomized trials. Although surgery was overall frequently technically demanding, these changes did not appear to compromise perioperative safety or oncological radicality, even when minimally invasive approaches were adopted. Larger studies with longer follow-up are needed to better define long-term oncological outcomes.

Background: Circulating tumor DNA (ctDNA), shed into bodily fluids by cancer cells through apoptosis, necrosis, or active secretion, is currently used in the field of genomic investigation in clinical settings, primarily for advanced stages of non-small-cell lung cancer (NSCLC). However, its potential role in guiding the multi-omic approach to early-stage NSCLC is emerging as a promising area of investigation. Efforts are being made to integrate the genomics not only in surgery, but also in the definition of long-term prognosis after surgical or radiotherapy and for the prediction of recurrence. Methods: An extensive literature search was conducted on PubMed, covering publications from 2000 to 2024. Using the advanced search tool, titles and abstracts were filtered based on the following keywords: ctDNA, early stage, NSCLC. From this search, 20 studies that fulfilled all inclusion criteria were selected for analysis in this review. Results: This review highlights the growing body of evidence supporting the potential clinical use of ctDNA as a genomic biomarker in managing early-stage NSCLC. Baseline ctDNA levels offer valuable information about tumor molecular biology and histological characteristics. Beyond its prognostic value before treatment, liquid biopsy has proven useful for tracking minimal residual disease and forecasting recurrence following curative interventions such as surgery or radiotherapy. Future adjuvant treatment decisions may increasingly rely on predictive models that incorporate liquid biopsy findings alongside other clinical factors. Conclusions: The potential use of this analyte introduces new opportunities for the integration of genomic data in treatment, as well as relapse monitoring with more accurate and innovative than traditional methods, particularly in patients with early-stage NSCLC

Background: Circulating tumor DNA (ctDNA) may be released from neoplastic cells into biological fluids through apoptosis, necrosis, or active release. In patients with non-small-cell lung cancer (NSCLC), ctDNA analysis is being introduced in clinical practice only for advanced disease management. Nevertheless, an interesting and promising field of application is the analysis of ctDNA in the management of early stage non-small-cell lung cancer, both for evaluation before treatment, such as diagnosis and screening, and for prediction of histology or pathological features. Methods: A thorough review of the literature published between 2000 and 2024 was performed on PubMed, utilizing the advanced search feature to narrow down titles and abstracts containing the following keywords: ctDNA, early stage, and NSCLC. A total of 20 studies that met all inclusion criteria were chosen for this review. Results: In this review, we summarize the increasing evidence suggesting that ctDNA has potential clinical applications in the management of patients with early stage NSCLC. ctDNA levels in early stage cancers are very low, posing many technical challenges in improving the detection rate and sensitivity, especially in clinical practice, if it is to be implemented for early detection. Presently, the main limitation of ctDNA experimental and clinical studies, especially in early stage settings, is the lack of definitive standardization and consensus regarding methodology, the absence of systematically validated analyses, and the lack of adoption of sensitive approaches. Conclusions: Possible applications of this analyte open up new fields of diagnosis, treatment, and follow up, which are less invasive and more precise than other approaches currently in use, especially in early stage NSCLC patients.

Background: As COVID-19 has become an epidemic, we conducted an open-label study aimed to identify immunogenicity and reactogenicity of boosters of the BNT162b2 vaccine in a real-world cohort of long-survivor metastatic lung cancer patients (LS-mLC pts). Methods and Analysis: According to the timing of the booster dose (BD) and SARS-CoV-2 infection (Cov-I) during anticancer treatment (ACT), between October 2021 and February 2022, we prospectively enrolled 166 cancer patients into five parallel cohorts. The primary endpoints were seroprevalence of IgG Anti-spike-RBD (anti-S IgG) at two pre-defined timepoints (T1: +30–90 days after BD; T2: +6 months +/− 4 weeks after BD). As an exploratory endpoint, we compared the median pre-vaccination value of four cytokines (IL-6, IL-2R, TNF-α, IL-10) with post-BD values in immunotherapy-treated pts (IO-pts). Results: The anti-S IgG seropositivity rate was 100% at T1 and 98.8% at T2. After 6 months, hybrid immunisation was associated with a higher median anti-S IgG titre compared to vaccine-alone-induced seroconversion (p < 0.0001). In uninfected pts, the median anti-S IgG titre was significantly lower in IO-pts compared to non-IO-pts (p = 0.02); no difference was found when comparing myelosuppressive or not ACT. Among the 68 IO-pts, 5 pts (7.3%) showed a significant increase (≥1.5 fold) of at least two cytokines in post-BD samples, without reporting ir-AEs. Conclusions: Boosters of the COVID-19 mRNA vaccine were effective and safe. In IO-pts without recent Cov-I, additional BDs should be considered to prolong serological immunity.

PURPOSE: The clinical and research FPG500 program (ClinicalTrials.gov identifier: NCT06020625 ) is currently ongoing at the Fondazione Policlinico Universitario Agostino Gemelli IRCCS to tailor matched targeted therapies (MTTs) according to biomarkers predictive of response identified by comprehensive genome profiling (CGP). MATERIALS AND METHODS: The non–small cell lung cancer (NSCLC) cohort results from the FPG500 program are outlined. CGP was performed by TruSight Oncology 500 High Throughput (TSO500HT) assay or Oncomine Focus Assay plus Archer's FusionPlex Lung Panel according to tumor cell content and DNA/RNA quantity. Relevant issues for Molecular Tumor Board (MTB) evaluation included uncommon genomic findings, evaluation for off-label therapies, uncertain result confirmation, and variants of suspect germline origin requiring genetic counseling. Progression-free survival (PFS) and overall survival (OS) for the enrolled patients were assessed using Kaplan-Meier analysis. RESULTS: In 2022, 283 patients with NSCLC were considered for sequencing, with 93% meeting eligibility criteria. TSO500HT sequencing was conducted in 76% of patients. Follow-up data were obtained for 187 patients, among whom 81% received treatment. Potential driver alterations were identified in 59% of patients, with 41% receiving MTT: 25% were prescribed approved MTTs, whereas 16% gained access to experimental drugs post-MTB evaluation; of note, 18% did not receive any MTT because the regimen was not yet reimbursed in our country. Median PFS and OS varied among treatment groups, with standard chemotherapy/immunotherapy at 7.7 and 10.7 months, approved tyrosine kinase inhibitors at 18.8 and 23.9 months, and MTT post-MTB discussion at 14 and 23.4 months, respectively. CONCLUSION: The early data of the FPG program (NSCLC cohort) support the implementation of CGP and MTB in clinical practice to grant access to patients harboring actionable molecular alterations to the most effective and individualized available treatment options, thus improving their survival outcomes.

Artificial Intelligence (AI) has revolutionized the management of non-small-cell lung cancer (NSCLC) by enhancing different aspects, including staging, prognosis assessment, treatment prediction, response evaluation, recurrence/prognosis prediction, and personalized prognostic assessment. AI algorithms may accurately classify NSCLC stages using machine learning techniques and deep imaging data analysis. This could potentially improve precision and efficiency in staging, facilitating personalized treatment decisions. Furthermore, there are data suggesting the potential application of AI-based models in predicting prognosis in terms of survival rates and disease progression by integrating clinical, imaging and molecular data. In the present narrative review, we will analyze the preliminary studies reporting on how AI algorithms could predict responses to various treatment modalities, such as surgery, radiotherapy, chemotherapy, targeted therapy, and immunotherapy. There is robust evidence suggesting that AI also plays a crucial role in predicting the likelihood of tumor recurrence after surgery and the pattern of failure, which has significant implications for tailoring adjuvant treatments. The successful implementation of AI in personalized prognostic assessment requires the integration of different data sources, including clinical, molecular, and imaging data. Machine learning (ML) and deep learning (DL) techniques enable AI models to analyze these data and generate personalized prognostic predictions, allowing for a precise and individualized approach to patient care. However, challenges relating to data quality, interpretability, and the ability of AI models to generalize need to be addressed. Collaboration among clinicians, data scientists, and regulators is critical for the responsible implementation of AI and for maximizing its benefits in providing a more personalized prognostic assessment. Continued research, validation, and collaboration are essential to fully exploit the potential of AI in NSCLC management and improve patient outcomes. Herein, we have summarized the state of the art of applications of AI in lung cancer for predicting staging, prognosis, and pattern of recurrence after treatment in order to provide to the readers a large comprehensive overview of this challenging issue.