Circulating miRNAs and PD-L1 Tumor Expression Are Associated with Survival in Advanced NSCLC Patients Treated with Immunotherapy: a Prospective Study

Purpose: Immune-checkpoint inhibitors (ICI) have improved the survival of patients with non–small cell lung cancer (NSCLC). However, only a subset of patients benefit from ICIs, and the role of PD-L1 as predictive biomarker is still debated. A plasma immune-related miRNA-signature classifier (MSC) was established in lung cancer screening settings to identify the lethal form of the disease in early stages. In this exploratory study, we tested the efficacy of the MSC as prognostic marker in patients with advanced NSCLC treated with ICIs. Experimental Design: The MSC risk level was prospectively assessed in a consecutive series of 140 patients with NSCLC before starting treatment with ICIs. Overall response rate (ORR), progression-free survival (PFS), and overall survival (OS) in strata of PD-L1 and MSC alone or combined were considered as endpoints. Multiple plasma samples to monitor MSC risk level during treatment were also profiled. Results: Adequate tissue and plasma samples were available from 111 (79%) and 104 (75%) patients with NSCLC, respectively. MSC risk level was associated with ORR (P = 0.0009), PFS [multivariate HR = 0.31; 95% confidence interval (CI), 0.17–0.56; P = 0.0001], and OS (multivariate HR = 0.33; 95% CI, 0.18–0.59; P = 0.0002). The combination of MSC and PD-L1 stratified patients into three risk groups having 39%–18%–0% 1-year PFS (P < 0.0001) and 88%–44%–0% 1-year OS (P < 0.0001), according to the presence of 2–1–0 favorable markers. During treatment, MSC risk level decreased or remained low until tumor progression in patients with responsive or stable disease. Conclusions: The plasma MSC test could supplement PD-L1 tumor expression to identify a subgroup of patients with advanced lung cancer with worse ORR, PFS, and OS in immunotherapy regimens.

[1]  U. Pastorino,et al.  Circulating mir‐320a promotes immunosuppressive macrophages M2 phenotype associated with lung cancer risk , 2019, International journal of cancer.

[2]  V. Torri,et al.  Antibody–Fc/FcR Interaction on Macrophages as a Mechanism for Hyperprogressive Disease in Non–small Cell Lung Cancer Subsequent to PD-1/PD-L1 Blockade , 2018, Clinical Cancer Research.

[3]  Hui Yu,et al.  PD‐L1 Immunohistochemistry Comparability Study in Real‐Life Clinical Samples: Results of Blueprint Phase 2 Project , 2018, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[4]  Jacob Silterra,et al.  Blood-based tumor mutational burden as a predictor of clinical benefit in non-small-cell lung cancer patients treated with atezolizumab , 2018, Nature Medicine.

[5]  Toyoaki Hida,et al.  Updated Efficacy Analysis Including Secondary Population Results for OAK: A Randomized Phase III Study of Atezolizumab versus Docetaxel in Patients with Previously Treated Advanced Non–Small Cell Lung Cancer , 2018, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[6]  E. Kure,et al.  Circulating microRNAs associated with prolonged overall survival in lung cancer patients treated with nivolumab , 2018, Acta oncologica.

[7]  S. Novello,et al.  Pembrolizumab plus Chemotherapy in Metastatic Non–Small‐Cell Lung Cancer , 2018, The New England journal of medicine.

[8]  J. Szustakowski,et al.  Nivolumab plus Ipilimumab in Lung Cancer with a High Tumor Mutational Burden , 2018, The New England journal of medicine.

[9]  Arnaud Boyer,et al.  Durvalumab after chemoradiotherapy in stage III non-small cell lung cancer. , 2018, Journal of thoracic disease.

[10]  S. Gettinger,et al.  Nivolumab versus docetaxel in previously treated advanced non-small-cell lung cancer (CheckMate 017 and CheckMate 057): 3-year update and outcomes in patients with liver metastases , 2018, Annals of oncology : official journal of the European Society for Medical Oncology.

[11]  M. Reck,et al.  Pembrolizumab as first-line therapy for metastatic non-small-cell lung cancer. , 2018, Immunotherapy.

[12]  Ahmet Zehir,et al.  Molecular Determinants of Response to Anti-Programmed Cell Death (PD)-1 and Anti-Programmed Death-Ligand 1 (PD-L1) Blockade in Patients With Non-Small-Cell Lung Cancer Profiled With Targeted Next-Generation Sequencing. , 2018, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[13]  A. Kamphorst,et al.  Immune checkpoint inhibitors in advanced non–small cell lung cancer , 2018, Cancer.

[14]  Abhijit A. Patel,et al.  Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNA , 2018, Clinical Cancer Research.

[15]  R. Sridhara,et al.  Evaluation of Overall Response Rate and Progression-Free Survival as Potential Surrogate Endpoints for Overall Survival in Immunotherapy Trials , 2018, Clinical Cancer Research.

[16]  M. Omata,et al.  Very early response of circulating tumour-derived DNA in plasma predicts efficacy of nivolumab treatment in patients with non-small cell lung cancer. , 2017, European journal of cancer.

[17]  U. Pastorino,et al.  MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening , 2017, Journal of visualized experiments : JoVE.

[18]  G. Calin,et al.  Cell‐to‐cell communication: microRNAs as hormones , 2017, Molecular oncology.

[19]  Burgio,et al.  1301PDThree-year follow-up from CheckMate 017/057: Nivolumab versus docetaxel in patients with previously treated advanced non-small cell lung cancer (NSCLC) , 2017 .

[20]  V. Servois,et al.  Circulating tumor DNA changes for early monitoring of anti-PD1 immunotherapy: a proof-of-concept study , 2017, Annals of oncology : official journal of the European Society for Medical Oncology.

[21]  M. Socinski,et al.  First‐Line Nivolumab in Stage IV or Recurrent Non–Small‐Cell Lung Cancer , 2017, The New England journal of medicine.

[22]  U. Pastorino,et al.  Lung cancer screening with low-dose CT in Europe: strength and weakness of diverse independent screening trials. , 2017, Clinical radiology.

[23]  U. Pastorino,et al.  Mutational Profile from Targeted NGS Predicts Survival in LDCT Screening-Detected Lung Cancers , 2017, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[24]  H. Hammad,et al.  The transcriptome of lung tumor-infiltrating dendritic cells reveals a tumor-supporting phenotype and a microRNA signature with negative impact on clinical outcome , 2016, Oncoimmunology.

[25]  Charles Ferté,et al.  Hyperprogressive Disease Is a New Pattern of Progression in Cancer Patients Treated by Anti-PD-1/PD-L1 , 2016, Clinical Cancer Research.

[26]  C. Ries,et al.  Suppression of microRNA activity amplifies IFN-γ-induced macrophage activation and promotes anti-tumour immunity , 2016, Nature Cell Biology.

[27]  Nicolai J. Birkbak,et al.  Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade , 2016, Science.

[28]  E. Lengyel,et al.  MicroRNAs as mediators and communicators between cancer cells and the tumor microenvironment , 2015, Oncogene.

[29]  Martin L. Miller,et al.  Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer , 2015, Science.

[30]  F. Sánchez‐Madrid,et al.  Immunomodulatory role of microRNAs transferred by extracellular vesicles , 2015, Biology of the cell.

[31]  K. Mills,et al.  Immunosuppressive networks and checkpoints controlling antitumor immunity and their blockade in the development of cancer immunotherapeutics and vaccines , 2014, Oncogene.

[32]  C. la Vecchia,et al.  Clinical utility of a plasma-based miRNA signature classifier within computed tomography lung cancer screening: a correlative MILD trial study. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[33]  U. Pastorino,et al.  Assessment of Circulating microRNAs in Plasma of Lung Cancer Patients , 2014, Molecules.

[34]  Jing Zhang,et al.  MicroRNA-155 and MicroRNA-21 Promote the Expansion of Functional Myeloid-Derived Suppressor Cells , 2014, The Journal of Immunology.

[35]  A. van den Berg,et al.  Comprehensive analysis of miRNA expression in T-cell subsets of rheumatoid arthritis patients reveals defined signatures of naive and memory Tregs , 2014, Genes and Immunity.

[36]  D. Quail,et al.  Microenvironmental regulation of tumor progression and metastasis , 2013, Nature Medicine.

[37]  Michael C. Ostrowski,et al.  Reprogramming of the Tumor Microenvironment by Stromal Pten-regulated miR-320 , 2011, Nature Cell Biology.

[38]  Ugo Pastorino,et al.  MicroRNA signatures in tissues and plasma predict development and prognosis of computed tomography detected lung cancer , 2011, Proceedings of the National Academy of Sciences.

[39]  T. Nakayama,et al.  Reporting of attributable and relative risks, 1966–97 , 1998, The Lancet.

[40]  D. Beer,et al.  Correlation of PD‐L1 Expression with Tumor Mutation Burden and Gene Signatures for Prognosis in Early‐Stage Squamous Cell Lung Carcinoma , 2019, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[41]  Jonathan J Deeks,et al.  Statistical algorithms in Review Manager , 2010 .