Early Stage NSCLC Patients Research Articles

Long-Term Oncological Outcomes Related to Lymphadenectomy in Clinical Stage I NSCLC: A Multicenter Retrospective Experience.

Lymphadenectomy is considered a key part of the radical treatment of resectable lung cancer, although its appropriate extension in early stages is a debated topic due to the great heterogeneity of studies in the literature. This study aims to evaluate the impact of lymphadenectomy extent on survival and recurrence in the treatment of early-stage NSCLC patients undergoing lobectomy and lymph node dissection. Data from clinical stage I NSCLC patients undergoing lobectomy and hilar-mediastinal lymphadenectomy at two thoracic surgery centers from 2016 to 2019 were retrospectively evaluated. Information regarding perioperative outcomes and lymphadenectomy details was collected and analyzed, and their impact on OS, CSS, and DFS was assessed. During the period under review, 323 patients with stage cI lung cancer underwent lobectomy with lymphadenectomy. Statistical analysis showed that the evaluated lymph nodal factors (mean number of lymph nodes removed and number and type of lymph node station explored) did not statistically significantly impact OS, CSS, and DFS at a median follow-up of 59 months (IQR 45-71). The results of this study suggest that a less invasive procedure than systematic lymphadenectomy could be performed in early-stage cases with adequate preoperative staging.

Choice of wedge resection for selected T1a/bN0M0 non-small cell lung cancer

Recently, several studies have reported that the survival benefit of wedge resection might not be inferior to that of lobectomy in early-stage NSCLC patients, but there is no unified definition of the details or cutoff value. Patients with early-stage NSCLC with a tumour size ≤ 2.0 cm were chosen from the SEER database. The influence of confounding factors was minimized by 1:1 propensity score matching (PSM). Kaplan‒Meier curves and Cox proportional hazards models were used to evaluate the overall survival (OS) and lung cancer-specific survival (LCSS) of patients undergoing lobectomy and wedge resection. A total of 3891 patients with early-stage NSCLC with tumour size ≤ 2.0 cm were enrolled, of whom 2839 underwent lobectomy and 1052 underwent wedge resection. Both before and after PSM, lobectomy significantly improved OS and LCSS compared with wedge resection in the unstratified study population. In the tumour size ≤ 1 cm group, lobectomy had better OS and LCSS than wedge resection (P < 0.05) before PSM; after PSM, there was no significant difference in OS (P = 0.16) and LCSS (P = 0.17). In Grade I patients, before PSM, lobectomy was superior to wedge resection in LCSS (P = 0.038), while there was no significant difference in OS (P = 0.16); after PSM, there were no significant differences in either OS (P = 0.78) or LCSS (P = 0.11). For early-stage NSCLC patients with a tumour size ≤ 1 cm or with a tumour size ≤ 2 cm and with Grade I, there was no significant difference in survival between wedge resection and lobectomy.

EP.07A.24 European Experience of Early-Stage NSCLC Patients with Any Prior Cancer History Following Lobectomy or Segmentectomy

EP.07A.24 European Experience of Early-Stage NSCLC Patients with Any Prior Cancer History Following Lobectomy or Segmentectomy

EP.07D.05 Molecular Testing Care Gap Analysis of EGFR Mutation for Early-Stage NSCLC Patients in Community Practices

EP.07D.05 Molecular Testing Care Gap Analysis of EGFR Mutation for Early-Stage NSCLC Patients in Community Practices

Baseline shift corrections towards the heart: External validation of the impact on survival in early-stage NSCLC patients

PurposeTo externally validate Johnson-Hart et al. findings: the association of tumor baseline shifts towards the heart with overall survival (OS) in SBRT for NSCLC. Further analysis included investigating the presence of interfractional heart baseline shifts and the association of OS with heart dose change during treatment. MethodsData from 416 SBRT early-stage NSCLC patients was collected. Pearson’s correlations (PCCs) between clinical variables and treatment-averaged tumor shifts towards/away from the heart were explored. Validation of published multivariable Cox model was performed. PCCs between heart and tumor baseline shifts were analyzed. Dose accumulation was performed following daily CBCT-to-pCT deformable registration. Maximum heart dose (D0) was computed for planned and accumulated doses. Differences in OS according to shifts towards/away from the heart or D0 increase/decrease were analyzed. Significant D0 differences between patients with D0 increase/decrease and different tumor locations were explored. ResultsTumor shifts towards/away from the heart showed no significant association with OS (p = 0.91). Distance between PTV and heart correlated significantly (PCC = 0.18) with shifts to the heart. Cox model did not validate in our cohort. Heart presented baseline shifts positively correlated with tumor baseline shifts in all three directions (PCC ≥ 0.38; p < 0.001). Counterintuitively, patients experiencing increased D0 during treatment showed significantly better OS (p = 0.0077). Upper-lobe tumor patients with increased D0 had lower D0 than those with decreased D0 (right-upper-lobe p ≤ 0.018). ConclusionsIn our SBRT cohort, the shifts towards the heart were not associated with worse OS. Moderate correlations were found between tumor and heart baseline shifts in each direction. Moreover, the distance between the PTV and the heart showed a significant correlation with shifts to the heart.

LINAC-based SBRT in treating early-stage NSCLC patients-single institution experience and survival data analysis.

Aim: This single institute prospective study aimed to evaluate the feasibility of LINAC-based stereotactic body radiotherapy (SBRT) in treating patients with early-stage non-small cell lung cancer (NSLSC). We focused on the survival data with the local and distant control profiles and the cancer- and non-cancer-specific survival. Treatment-related side effects were also collected and analyzed. Methods: Patients with early-stage NSCLC between January 2018 and October 2021 were included in our prospective study; a total of 77 patients receiving LINAC-based SBRT were analyzed. All patients had pretreatment multidisciplinary tumor board decisions on SBRT. The average patient age was 68.8years (median: 70years, range: 52-82); 70 patients were in ECOG 0 status (91%), while seven patients were in ECOG 1-2 status (9%). 52% of the patients (40) had histologically verified NSCLC, and the other 48% were verified based on PETCT results. We applied the SBRT scheme 8 x 7.5 Gy for central tumors (74%) or 4 x 12 Gy for peripheral tumors (26%). Results: The mean follow-up time was 25.4months (median 23, range 18-50). The Kaplan-Meier estimation for overall survival in patients receiving LINAC-based SBRT was 41.67months. Of the 77 patients treated by SBRT, death was reported for 17 patients (9 cases cancer-specific, 8 cases non-cancer specific reason). The mean local tumor control was 34.25months (range 8.4-41), and the mean systemic control was 24.24months (range 7-25). During the treatments, no Grade I-II were reported; in 30 cases, Grade I non-symptomatic treatment-related lung fibrosis and two asymptomatic rib fractures were reported. Conclusion: In the treatment of early-stage NSCLC, LINAC-based SBRT can be a feasible alternative to surgery. Although we reported worse OS data in our patient cohort compared to the literature, the higher older average age and the initial worse general condition (ECOG1-2) in our patient cohort appear to be the reason for this difference. With the comparable local control and survival data and the favorable side effect profile, SBRT might be preferable over surgery in selected cases.

Treating early-stage centrally-located non-small cell lung cancer with DCAT-SBRT in centers lacking the VMAT technique: a comprehensive study.

Volumetric-modulated arc therapy (VMAT) may have the highest overall performance for stereotactic body radiotherapy (SBRT) treatment of inoperable early-stage NSCLC. However, in centers lacking the VMAT technique, the dynamic conformal arc therapy (DCAT) technique is potentially the best option for small and rounded NSCLC-SBRT. Therefore, we will comprehensively analyze the advantages of the DCAT versus the other techniques except VMAT in terms of dosimetry, plan complexity, delivery time, γ-passing rates and the interplay effect. 36 patients with early-stage centrally located NSCLC with PTV volumes < 65 cc were enrolled. All patients were redesigned with 50Gy/5f, and 100% of the prescribed dose was normalized to cover 95% of the PTV. The other two delivery techniques compared to the DCAT technique include 3-dimensional conformal radiotherapy (3DCRT) and intensity-modulated radiotherapy (IMRT), which use the same parameters for all three techniques. The dosimetric parameters of the 3-group plans all met the RTOG 0813 protocol. Unsurprisingly, plan complexity parameters such as segments and MUs were significantly reduced in the DCAT plans by 159.56 and 925.90 compared to the IMRT plans, respectively (all P < 0.001). The delivery time of the DCAT plans was the least of 164.51 s (all P < 0.05). Compared to the IMRT plans, the γ-passing rates were higher in the DCAT plans (P < 0.001), with the most significant difference of 6.01% in the (2%, 1mm) criteria. As for the interplay effect, the mean dose difference (MDD) in the DCAT plans was as good as the 3DCRT plans at different respiratory amplitudes but better than the IMRT plans (all P < 0.05), and the MDD of DCAT plans did not exceed 3% in all respiratory amplitude. In centers lacking the VMAT technique, implementing SBRT treatment based on the DCAT technique for inoperable early-stage centrally-located NSCLC patients with PTV volumes < 65 cc achieves better treatment efficiency and delivery accuracy while maintaining the plan quality.

Rank acquisition impact on radiomics estimation (AсquIRE) in chest CT imaging: A retrospective multi-site, multi-use-case study

BackgroundRadiomics is a method within medical image analysis that involves the extraction of quantitative data from radiologic scans, often in conjunction with machine learning algorithms to phenotype disease appearance, prognosticate disease outcome, and predict treatment response. However, variance in CT scanner acquisition parameters, such as convolution kernels or pixel spacing, can impact radiomics texture feature values. PurposeThe extent to which the parameters influence radiomics features continues to be an active area of investigation. In this study, we describe a novel approach, Acquisition Impact on Radiomics Estimation (AcquIRE), to rank the impact of CT acquisition parameters on radiomic texture features. MethodsIn this work, we used three chest CT imaging datasets (n = 749 patients) from nine sites comprising: i) lung granulomas and adenocarcinomas (D1) (10 and 52 patients, respectively); ii) minimal and frank invasive adenocarcinoma (D2) (74 and 145 patients); and iii) early-stage NSCLC patients (D3) (315 patients). Datasets D2 and D3 were collected from four sites each, and D1 from a single site. For each patient, 744 texture features and nine acquisition parameters were extracted and utilized to evaluate which parameters impact radiomic features the most. The AcquIRE method establishes a relative assessment between acquisition parameters and radiomic texture featuresa through the creation of a classification model, which is then utilized to assess the rank of the acquisition parameters. ResultsAcross the use cases, CT software version and convolution kernel parameters were found to have the most variance. In D1, it was observed that the Haralick texture feature family was the least affected by variations in acquisition parameters, while the Gabor feature family was the most impacted. However, in datasets D2 and D3, the Gabor features were found to be the least affected. Our findings suggest that the impact on radiomic parameters is as much a function of the problem in question as it is acquisition parameters. ConclusionsThe software version and convolution kernel parameters impacted the radiomics feature the most.

Serum Insights: Leveraging the Power of miRNA Profiling as an Early Diagnostic Tool for Non-Small Cell Lung Cancer.

Non-small cell lung cancer is the predominant form of lung cancer and is associated with a poor prognosis. MiRNAs implicated in cancer initiation and progression can be easily detected in liquid biopsy samples and have the potential to serve as non-invasive biomarkers. In this study, we employed next-generation sequencing to globally profile miRNAs in serum samples from 71 early-stage NSCLC patients and 47 non-cancerous pulmonary condition patients. Preliminary analysis of differentially expressed miRNAs revealed 28 upregulated miRNAs in NSCLC compared to the control group. Functional enrichment analyses unveiled their involvement in NSCLC signaling pathways. Subsequently, we developed a gradient-boosting decision tree classifier based on 2588 miRNAs, which demonstrated high accuracy (0.837), sensitivity (0.806), and specificity (0.859) in effectively distinguishing NSCLC from non-cancerous individuals. Shapley Additive exPlanations analysis improved the model metrics by identifying the top 15 miRNAs with the strongest discriminatory value, yielding an AUC of 0.96 ± 0.04, accuracy of 0.896, sensitivity of 0.884, and specificity of 0.903. Our study establishes the potential utility of a non-invasive serum miRNA signature as a supportive tool for early detection of NSCLC while also shedding light on dysregulated miRNAs in NSCLC biology. For enhanced credibility and understanding, further validation in an independent cohort of patients is warranted.

Spatial Proteome Analysis Identifies Lymphocyte CD44 as a Biomarker Associated with SBRT Resistance in Early-Stage Non-Small Cell Lung Cancer

To discover and validate spatially-resolved protein markers associated with resistance to SBRT in early-stage NSCLC patients. We initially evaluated a discovery cohort of 44 early-stage NSCLC patients treated with SBRT as first-line treatment at the Shandong cancer hospital. Using the GeoMx DSP system, 71 proteins were measured in five molecular compartments (tumor, leukocyte, lymphocyte, macrophage, and stroma) on pre-treatment samples. Candidate biomarkers were orthogonally validated with the Gem AQUA method of quantitative immunofluorescence (QIF). For internal independent cohort validation, we assessed pre-treatment samples derived from 150 NSCLC patients who receive radiotherapy. We further analyzed 100 radiotherapy untreated patients with operable NSCLC to address prognostic significance. Using continuous log-scaled data, we identified CD44 expression in the lymphocyte compartment (CD3+) as a novel predictor of poor progression-free survival (PFS) (multivariate HR = 7.323, p = 0.0079) and overall survival (OS) (multivariate HR = 8.65, p = 0.028) in the discovery set. High CD44 expression in the tumor compartment (pan-cytokeratin, CK+) predicted significantly shorter OS (multivariate HR = 2.208, p = 0.0212), with no significant difference in PFS. We validated by QIF that lymphocyte CD44 levels were associated with resistance to SBRT therapy and prognostic for poor outcomes. Using QIF in an independent radiotherapy treated cohort, we validated that CD44 levels in the lymphocyte compartment were associated with poor PFS and OS. High lymphocyte cell CD44 was not prognostic in non-radiotherapy-treated cohort. Using DSP data, intratumoral regions with elevated lymphocyte cell CD44 expression showed prominent upregulation of CD127, ARG1 and VISTA in the discovery Cohort. In conclusion, we identified and validated lymphocyte cell CD44 as a biomarker indicative of resistance to SBRT or radiotherapy in patients with NSCLC. Further evaluation is warranted to address the predictive value of lymphocyte cell CD44 in multi-institutional studies and clinical trials.

Development of a multi-feature-combined model: proof-of-concept with application to local failure prediction of post-SBRT or surgery early-stage NSCLC patients.

To develop a Multi-Feature-Combined (MFC) model for proof-of-concept in predicting local failure (LR) in NSCLC patients after surgery or SBRT using pre-treatment CT images. This MFC model combines handcrafted radiomic features, deep radiomic features, and patient demographic information in an integrated machine learning workflow. The MFC model comprised three key steps. (1) Extraction of 92 handcrafted radiomic features from the GTV segmented on pre-treatment CT images. (2) Extraction of 512 deep radiomic features from pre-trained U-Net encoder. (3) The extracted handcrafted radiomic features, deep radiomic features, along with 4 patient demographic information (i.e., gender, age, tumor volume, and Charlson comorbidity index), were concatenated as a multi-dimensional input to the classifiers for LR prediction. Two NSCLC patient cohorts from our institution were investigated: (1) the surgery cohort includes 83 patients with segmentectomy or wedge resection (7 LR), and (2) the SBRT cohort includes 84 patients with lung SBRT (9 LR). The MFC model was developed and evaluated independently for both cohorts, and was subsequently compared against the prediction models based on only handcrafted radiomic features (R models), patient demographic information (PI models), and deep learning modeling (DL models). ROC with AUC was adopted to evaluate model performance with leave-one-out cross-validation (LOOCV) and 100-fold Monte Carlo random validation (MCRV). The t-test was performed to identify the statistically significant differences. In LOOCV, the AUC range (surgery/SBRT) of the MFC model was 0.858-0.895/0.868-0.913, which was higher than the three other models: 0.356-0.480/0.322-0.650 for PI models, 0.559-0.618/0.639-0.682 for R models, and 0.809/0.843 for DL models. In 100-fold MCRV, the MFC model again showed the highest AUC results (surgery/SBRT): 0.742-0.825/0.888-0.920, which were significantly higher than PI models: 0.464-0.564/0.538-0.628, R models: 0.557-0.652/0.551-0.732, and DL models: 0.702/0.791. We successfully developed an MFC model that combines feature information from multiple sources for proof-of-concept prediction of LR in patients with surgical and SBRT early-stage NSCLC. Initial results suggested that incorporating pre-treatment patient information from multiple sources improves the ability to predict the risk of local failure.

Pathologic Nodal Staging Before SBRT for Early-stage NSCLC Does Not Impact Overall Survival: A Propensity Score-matched NCDB Analysis.

Stereotactic body radiation therapy (SBRT) for early-stage non-small cell carcinoma of the lung (NSCLC) is increasingly utilized. We sought to assess overall survival (OS) for early-stage NSCLC patients receiving SBRT depending on staging method. Early-stage NSCLC patients treated with definitive SBRT were identified in the National Cancer Database (NCDB), and OS was determined based on method of staging. Patient, disease, and treatment characteristics were also analyzed. A total of 12,106 patients were included; 865 (7%) received invasive staging (nodal sampling, NS) and 11,241 (93%) had no nodal sampling (NNS). From this larger dataset, a propensity score matching (1:1 without replacement) was performed, which yielded 839 patients for each group (NNS and NS). With a median follow-up time of 3.12 years, median survival for all patients included in the matched dataset was 2.75 years (95% CI: 2.55-2.93y), with 2- and 5-year OS estimated at 63.9% and 25.7%, respectively. In a multivariable analysis on matched data, there was no difference in mortality risk between the NNS and NS groups (hazard ratio=1.08, 95% CI: 0.94-1.24, P =0.25). Negative prognostic factors identified in the multivariable analysis of the matched data included: age more than 65, male sex, Charlson-Deyo Score ≥1, and tumor size ≥3cm. SBRT use in early-stage NSCLC steadily increased over the study period. Most patients proceeded to SBRT without nodal staging, conflicting with National Comprehensive Cancer Network (NCCN) guidelines which recommend pathologic mediastinal lymph node evaluation for all early-stage NSCLC cases, except stage IA. Our findings suggest similar OS in patients with early-stage NSCLC treated with SBRT irrespective of nodal staging. Furthermore, we highlight patient-related, disease-related, and treatment-related prognostic factors to consider when planning therapy for these patients.

Survival and quality-of-life outcomes in early-stage NSCLC patients: a literature review of real-world evidence.

Assess the long-term survival and quality-of-life outcomes in early-stage NSCLC (eNSCLC) patients. Review of long-term survival and quality-of-life after curative treatment in eNSCLC patients in observational studies. Disease-free proportion decreased in stage III vsstage I patients. Recurrence-free proportion decreased with age and disease stage. Advanced stage and vascular invasion increased risk of late recurrence. Conditional 5-year relative survival rates did not exceed 87%, indicating higher mortality in eNSCLC survivors. Lower conditional survival rates and relative survival rates were associated with older age and advanced disease. Survivors of eNSCLC had poorer physical quality-of-life. Despite curative-intent therapy, survivors of eNSCLC still face significant risks of recurrence, excess mortality, and diminished quality-of-life.

PO-1336 Prognosticator of SBRT efficacy and toxicity in early-stage NSCLC patients

PO-1336 Prognosticator of SBRT efficacy and toxicity in early-stage NSCLC patients

Cost-effectiveness of adjuvant atezolizumab versus best supportive care in the treatment of patients with resectable early-stage non-small cell lung cancer and overexpression of PD-L1

AimsTo assess the cost-effectiveness of adjuvant atezolizumab in the treatment of early-stage NSCLC patients (stage II–IIIA) with expression PD-L1 ≥ 50% without mutations in EGFR or ALK rearrangements in Spain.Materials and methodsA 5-states Markov model (DFS, locoregional recurrence, 1 L-metastatic recurrence, 2 L-metastatic recurrence, and death states) was adapted to the Spanish setting. Demographic characteristics of the hypothetical cohort, transition probabilities from the DFS state, and safety parameters were obtained from IMpower010 study (GO29527). Transition probabilities from locoregional and metastatic health states were obtained from the literature. The usual clinical practice in Spain (use of health resources, management of the disease, etc.) was obtained from a previous analysis carried out by the authors of this study. A societal perspective was considered so both direct and indirect costs were included (expressed in € of 2021). A lifetime horizon was used, so costs and health outcomes were discounted at 3% per year. Sensitivity analyses were performed to evaluate uncertainty.ResultsOver a lifetime horizon, treatment with adjuvant atezolizumab provided greater effectiveness (+2.61 life years [LY] and +1.95 quality-adjusted life years [QALY]) and higher cost (€+22,538) than BSC. The incremental cost-effectiveness ratio (ICER) and incremental cost-utility ratios (ICUR) of the analysis were €8,625/LY gained and €11,583/QALY gained, respectively. Robustness of these base-case results was confirmed by the sensitivity analyses performed. In the probabilistic sensitivity analysis, 90% of the simulations performed showed that adjuvant atezolizumab is cost-effective versus BSC, considering a threshold of €30,000/QALY.ConclusionsOur results showed that adjuvant treatment with atezolizumab in patients with early-stage resected NSCLC with overexpression of PD-L1 and without EGFR and ALK mutations is cost-effective versus BSC as the ICERs and ICURs obtained are below the cost-effectiveness thresholds commonly considered in Spain, thus offering a new treatment alternative for these patients.

Systemic immune modulation by stereotactic radiotherapy in early-stage lung cancer

We performed a prospective study of circulating immune cell changes after stereotactic body radiotherapy (SBRT) in 50 early-stage NSCLC patients. We found no significant increase in CD8+ cytotoxic T lymphocytes at first follow-up (the primary endpoint) but detected a significant increase in expanding Ki-67+CD8+ and Ki-67+CD4+ T-cell fractions in patients treated with 10 Gy or less per fraction. SBRT can induce significant expansion in circulating effector T-cells immediately post-treatment.

Derived Neutrophil-Lymphocyte Ratio and C-Reactive Protein as Prognostic Factors for Early-Stage Non-Small Cell Lung Cancer Treated with Stereotactic Body Radiation Therapy.

Objectives: To explore the relationship between peripheral blood inflammation parameters and overall survival (OS) and progression-free survival (PFS) of early-stage non-small cell lung cancer patients who underwent stereotactic body radiotherapy (SBRT). Patients and methods: In this study, eligible patients treated with SBRT from 2013 to 2018, and both serum complete blood count and blood biochemical results were available prior to (within 60 days) radiotherapy were included. Results: A review of hospital registries identified 148 patients, and the 5-year OS and PFS of the entire cohort were 69.8% and 65.6%, respectively, with the median follow-up time was 52.8 months. Multivariable analysis showed that derived neutrophil-lymphocyte ratio (dNLR) ≥1.4 and C-reactive protein (CRP) ≥2.9 were statistically and independently associated with worse OS (HR = 4.62, 95% CI 1.89-11.27, p = 0.001; HR = 2.92, 95% CI 1.49-5.70, p = 0.002, respectively). The 5-year OS for patients with dNLR below and equal to or above the 1.4 were 85.3% and 62.9% (p = 0.002), respectively, and 76.7% for the low CRP group versus 58.5% for the high CRP group (p = 0.030). Higher serum level of post-treatment CRP also independent parameters for inferior PFS (HR = 4.83, 95% CI 1.28-18.25, p = 0.020). Conclusions: Our results demonstrate that dNLR and CRP are associated with the outcomes of early-stage NSCLC patients treated with SBRT, which may assist in selecting optimal nursing care and therapeutic scheme for every individual.

Stage as the Sole "Biomarker" for Adjuvant Pembrolizumab in Resected Stage IB to IIIA NSCLC without Considerations for PD-L1 Expression Level, ALK/EGFR Mutational Status, and Prior Adjuvant Chemotherapy per FDA Approval Indications of PEARLS/Keynote-091?

One of the most recent advancements in NSCLC was the approval of immunotherapy in the adjuvant setting. Both atezolizumab and pembrolizumab have been approved for the use in early stage NSCLC patients post resection. As it broadens the options for our patients, multiple approvals in the same setting are generally welcomed. However, there were important differences in the two studies that led to the approvals and the data could be confusing. Here we review IMpower010, the study that led to the first approval of atezolizumab in the adjuvant setting with comparison to the Keynote-091 study evaluating pembrolizumab in the adjuvant setting, gaining the most recent FDA approval for adjuvant use in early stage NSCLC.

190P Combination of IPH5201, a blocking antibody targeting the CD39 immunosuppressive pathway, with durvalumab and chemotherapies: Preclinical rationale

CD39 is an extracellular ectonucleotidase highly expressed in the tumor microenvironment (TME) that, sequentially with CD73, contributes to the production of adenosine (Ado), via hydrolysis of adenosine triphosphate (ATP). IPH5201 is a blocking anti-CD39 monoclonal antibody (mAb) that may promote antitumor immunity by accumulating immunostimulatory ATP released by necrotic cells and reducing immunosuppressive Ado levels in the TME. Targeting the Ado pathway has recently been reported to improve Durvalumab (D) efficacy in early-stage NSCLC patients, through the use of Oleclumab, an anti-CD73 mAb.

205P Pre-existing tumor host immunity characterization in resected non-small cell lung cancer

Neoadjuvant and adjuvant immune checkpoint blockade (ICB) have recently become standard of care in resectable NSCLC. Yet, biomarkers that inform patient benefit with this approach remain largely unknown. Here, we interrogated the tumor immune microenvironment (TIME) in early-stage NSCLC patients that underwent up-front surgery.