18 research outputs found

    Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence.

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    peer reviewedThe primary objective of the present study was to identify a subset of radiomic features extracted from primary tumor imaged by computed tomography of early-stage non-small cell lung cancer patients, which remain unaffected by variations in segmentation quality and in computed tomography image acquisition protocol. The robustness of these features to segmentation variations was assessed by analyzing the correlation of feature values extracted from lesion volumes delineated by two annotators. The robustness to variations in acquisition protocol was evaluated by examining the correlation of features extracted from high-dose and low-dose computed tomography scans, both of which were acquired for each patient as part of the stereotactic body radiotherapy planning process. Among 106 radiomic features considered, 21 were identified as robust. An analysis including univariate and multivariate assessments was subsequently conducted to estimate the predictive performance of these robust features on the outcome of early-stage non-small cell lung cancer patients treated with stereotactic body radiation therapy. The univariate predictive analysis revealed that robust features demonstrated superior predictive potential compared to non-robust features. The multivariate analysis indicated that linear regression models built with robust features displayed greater generalization capabilities by outperforming other models in predicting the outcomes of an external validation dataset

    Multi-Omics Approaches for the Prediction of Clinical Endpoints after Immunotherapy in Non-Small Cell Lung Cancer: A Comprehensive Review

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    Immune checkpoint inhibitors (ICI) have revolutionized the management of locally advanced and advanced non-small lung cancer (NSCLC). With an improvement in the overall survival (OS) as both first- and second-line treatments, ICIs, and especially programmed-death 1 (PD-1) and programmed-death ligands 1 (PD-L1), changed the landscape of thoracic oncology. The PD-L1 level of expression is commonly accepted as the most used biomarker, with both prognostic and predictive values. However, even in a low expression level of PD-L1, response rates remain significant while a significant number of patients will experience hyperprogression or adverse events. The dentification of such subtypes is thus of paramount importance. While several studies focused mainly on the prediction of the PD-L1 expression status, others aimed directly at the development of prediction/prognostic models. The response to ICIs depends on a complex physiopathological cascade, intricating multiple mechanisms from the molecular to the macroscopic level. With the high-throughput extraction of features, omics approaches aim for the most comprehensive assessment of each patient. In this article, we will review the place of the different biomarkers (clinical, biological, genomics, transcriptomics, proteomics and radiomics), their clinical implementation and discuss the most recent trends projecting on the future steps in prediction modeling in NSCLC patients treated with ICI

    Narrative Review of Synergistics Effects of Combining Immunotherapy and Stereotactic Radiation Therapy

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    Stereotactic radiotherapy (SRT) has become an attractive treatment modality in full bloom in recent years by presenting itself as a safe, noninvasive alternative to surgery to control primary or secondary malignancies. Although the focus has been on local tumor control as the therapeutic goal of stereotactic radiotherapy, rare but intriguing observations of abscopal (or out-of-field) effects have highlighted the exciting possibility of activating antitumor immunity using high-dose radiation. Furthermore, immunotherapy has revolutionized the treatment of several types of cancers in recent years. However, resistance to immunotherapy often develops. These observations have led researchers to combine immunotherapy with SRT in an attempt to improve outcomes. The benefits of this combination would come from the stimulation and suppression of various immune pathways. Thus, in this review, we will first discuss the immunomodulation induced by SRT with the promising results of preclinical studies on the changes in the immune balance observed after SRT. Then, we will discuss the opportunities and risks of the combination of SRT and immunotherapy with the preclinical and clinical data available in the literature. Furthermore, we will see that many perspectives are conceivable to potentiate the synergistic effects of this combination with the need for prospective studies to confirm the encouraging data

    A 60-Year-Old Woman With Recurrent Hemoptysis

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    International audienceA 60-year-old non-smoker white woman presented with a new episode of hemoptysis. She reported recurrent hemoptoic sputum in the past month. She had no relevant medical history, except presumed resolved bacterial pneumonia 1 year ago. She denied taking immunosuppressive treatment and was not exposed to lung irritants. She had not traveled recently. General health status was good. She denied fever, dyspnea, chest pain, and extra-pulmonary symptoms

    Coupling imaging mass cytometry with Alcian blue histochemical staining for a single-slide approach

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    International audienceImaging mass cytometry (IMC) is a metal mass spectrometry-based method allowing highly multiplex immunophenotyping of cells within tissue samples. However, some limitations of IMC are its 1-µm resolution and its time and costs of analysis limiting respectively the detailed histopathological analysis of IMC-produced images and its application to small selected tissue regions of interest (ROI) of one to few square millimeters. Coupling on a single-tissue section, IMC and histopathological analyses could permit a better selection of the ROI for IMC analysis as well as co-analysis of immunophenotyping and histopathological data until the single-cell level. The development of this method is the aim of the present study in which we point to the feasibility of applying the IMC process to tissue sections previously Alcian blue-stained and digitalized before IMC tissue destructive analyses. This method could help to improve the process of IMC in terms of ROI selection, time of analysis, and the confrontation between histopathological and immunophenotypic data of cells

    Brief Report on the Efficacy of Nivolumab in Patients With Previously Treated Advanced Large-Cell Neuroendocrine Cancer of the Lung

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    International audienceINTRODUCTION: The optimal management of large cell neuroendocrine cancer of the lung (LCNEC) is unclear, and data regarding anti-programmed cell death protein 1 (PD-1) antibodies are scarce. This study reports the clinical efficacy of a PD-1 inhibitor in patients with advanced LCNEC. METHODS: All patients with stage III to IV LCNEC treated with at least one previous cycle of chemotherapy between January 1, 2015 and December 31, 2018 were reviewed retrospectively. Patients were divided into two groups depending on their exposure to nivolumab as second-line treatment or beyond. The primary objective was to assess nivolumab’s efficacy. RESULTS: A total of 51 patients with advanced LCNEC from eight centers were analyzed, including 17 who received nivolumab. The PD-1 inhibitor was used as second-line treatment in 77% of cases, with a median number of eight doses (range: 1-62). After nivolumab treatment, the median overall survival was 12.1 months (95% confidence interval [CI]: 7.10-14.20). The objective response rate was 29.4% (95% CI: 10.3-56.0), and median progression-free survival was 3.9 months (95% CI: 1.68-7.17). The programmed death-ligand 1 status was unknown. There was no difference in the efficacy of first-line chemotherapy; the objective response rate was 23.5% (n = four of 17) in the nivolumab group versus 32.4% (n = 11 of 34) in the conventional treatment group, and progression-free survival was 3.5 months (95% CI: 1.7-4.4) versus 2.1 months (95% CI: 1.4-4.2), respectively. CONCLUSIONS: In a real-world setting, nivolumab seems to be an effective second-line treatment in patients with advanced LCNEC. Large prospective studies in this setting are still required

    Duration of nivolumab for pretreated, advanced non–small‐cell lung cancer

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    Abstract Background A standard of care for pretreated, advanced non–small‐cell lung cancers (NSCLCs), nivolumab has demonstrated long‐term benefit when administered for 2 years. We aimed to better discern an optimized administration duration by retrospectively analyzing real‐life long‐term efficacy in a prospective cohort. Methods All nivolumab‐treated adults with advanced NSCLCs (01/09/2015 to 30/09/2016) from nine French centers were eligible. On 31/12/2018, patients who are alive ≥ 2 years after starting nivolumab were defined as long‐term survivors (LTSs) and were divided into three nivolumab treatment groups:  2 years. Co‐primary endpoints were LTSs’ progression‐free survival (PFS) and overall survival (OS). Results The median follow‐up was 32 months (95% CI, 31.0 to 34.0). The 3‐year OS rate for the 259 cohort patients was 16.6%. Among them, 65 were LTSs: 47 treated  2 years. Their respective characteristics were: median age: 59, 52, and 58 years; smoking history: 92.9, 100, and 100%; adenocarcinomas: 66, 57.1, and 54.5%. LTSs’ median (m)PFS was 28.4 months; mOS was not reached. LTSs’ objective response rate was 61.6%. mOS was 32.7 months for those treated  2‐year group's 3‐year OS was longer. Twenty‐eight LTSs experienced no disease progression; 7 had durable complete responses. However, LTSs had more frequent and more severe adverse events. Conclusion In real‐life, prolonged nivolumab use provided long‐term benefit with 16.6% 3‐year OS and 25% LTSs. Survival tended to be prolonged with nivolumab continued beyond 2 years. Prospective randomized trials with adequate design are needed

    Safety and efficacy of second-line metronomic oral vinorelbine-atezolizumab combination in stage IV non-small-cell lung cancer: An open-label phase II trial (VinMetAtezo).

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    This was a multicenter, open-label, single-arm Phase II study performed in patients with advanced NSCLC without activating EGFR mutation or ALK rearrangement who progressed after first-line platinum-doublet chemotherapy. Combination treatment was atezolizumab (1200 mg IV day 1, every 3 weeks) and oral vinorelbine (40 mg, 3 times by week). The primary outcome was progression-free survival (PFS) during the 4-month follow-up from the first dose of treatment. Statistical analysis was based on the exact single-stage Phase II design defined by A'Hern. Based on literature data, the Phase III trial threshold was set at 36 successes in 71 patients.To evaluate the safety and efficacy of second-line metronomic oral vinorelbine-atezolizumab combination for stage IV non-small-cell lung cancer
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