13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Neoadjuvant atezolizumab for resectable non-small cell lung cancer: an open-label, single-arm phase II trial

      research-article
      1 , 2 , 3 , 4 , 5 , 6 , 1 , 2 , 7 , 8 , 9 , 10 , 3 , 11 , 10 , 9 , 10 , 12 , 11 , 11 , 11 , 13 , 14 , 11 , 15 , 15 , 15 , 15 , 15 , 15 , 7 , 16 , 16 , 9 , 10 , 17 , 17 , 1 , 3 , 18 , , LCMC study investigators
      Nature Medicine
      Nature Publishing Group US
      Non-small-cell lung cancer, Phase II trials

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In an ongoing, open-label, single-arm phase II study ( NCT02927301), 181 patients with untreated, resectable, stage IB–IIIB non-small cell lung cancer received two doses of neoadjuvant atezolizumab monotherapy. The primary end point was major pathological response (MPR; ≤10% viable malignant cells) in resected tumors without EGFR or ALK alterations. Of the 143 patients in the primary end point analysis, the MPR was 20% (95% confidence interval, 14–28%). With a minimum duration of follow-up of 3 years, the 3-year survival rate of 80% was encouraging. The most common adverse events during the neoadjuvant phase were fatigue (39%, 71 of 181) and procedural pain (29%, 53 of 181), along with expected immune-related toxicities; there were no unexpected safety signals. In exploratory analyses, MPR was predicted using the pre-treatment peripheral blood immunophenotype based on 14 immune cell subsets. Immune cell subsets predictive of MPR in the peripheral blood were also identified in the tumor microenvironment and were associated with MPR. This study of neoadjuvant atezolizumab in a large cohort of patients with resectable non-small cell lung cancer was safe and met its primary end point of MPR ≥ 15%. Data from this single-arm, non-randomized trial suggest that profiles of innate immune cells in pre-treatment peripheral blood may predict pathological response after neoadjuvant atezolizumab, but additional studies are needed to determine whether these profiles can inform patient selection and new therapeutic approaches.

          Abstract

          In a single-arm, non-randomized trial, neoadjuvant atezolizumab therapy in a large cohort of patients with resectable non-small cell lung cancer was safe and the study met its primary end point of major pathological response ≥15%.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          limma powers differential expression analyses for RNA-sequencing and microarray studies

          limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

            Assessment of the change in tumour burden is an important feature of the clinical evaluation of cancer therapeutics: both tumour shrinkage (objective response) and disease progression are useful endpoints in clinical trials. Since RECIST was published in 2000, many investigators, cooperative groups, industry and government authorities have adopted these criteria in the assessment of treatment outcomes. However, a number of questions and issues have arisen which have led to the development of a revised RECIST guideline (version 1.1). Evidence for changes, summarised in separate papers in this special issue, has come from assessment of a large data warehouse (>6500 patients), simulation studies and literature reviews. HIGHLIGHTS OF REVISED RECIST 1.1: Major changes include: Number of lesions to be assessed: based on evidence from numerous trial databases merged into a data warehouse for analysis purposes, the number of lesions required to assess tumour burden for response determination has been reduced from a maximum of 10 to a maximum of five total (and from five to two per organ, maximum). Assessment of pathological lymph nodes is now incorporated: nodes with a short axis of 15 mm are considered measurable and assessable as target lesions. The short axis measurement should be included in the sum of lesions in calculation of tumour response. Nodes that shrink to <10mm short axis are considered normal. Confirmation of response is required for trials with response primary endpoint but is no longer required in randomised studies since the control arm serves as appropriate means of interpretation of data. Disease progression is clarified in several aspects: in addition to the previous definition of progression in target disease of 20% increase in sum, a 5mm absolute increase is now required as well to guard against over calling PD when the total sum is very small. Furthermore, there is guidance offered on what constitutes 'unequivocal progression' of non-measurable/non-target disease, a source of confusion in the original RECIST guideline. Finally, a section on detection of new lesions, including the interpretation of FDG-PET scan assessment is included. Imaging guidance: the revised RECIST includes a new imaging appendix with updated recommendations on the optimal anatomical assessment of lesions. A key question considered by the RECIST Working Group in developing RECIST 1.1 was whether it was appropriate to move from anatomic unidimensional assessment of tumour burden to either volumetric anatomical assessment or to functional assessment with PET or MRI. It was concluded that, at present, there is not sufficient standardisation or evidence to abandon anatomical assessment of tumour burden. The only exception to this is in the use of FDG-PET imaging as an adjunct to determination of progression. As is detailed in the final paper in this special issue, the use of these promising newer approaches requires appropriate clinical validation studies.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer.

              Immune checkpoint inhibitors, which unleash a patient's own T cells to kill tumors, are revolutionizing cancer treatment. To unravel the genomic determinants of response to this therapy, we used whole-exome sequencing of non-small cell lung cancers treated with pembrolizumab, an antibody targeting programmed cell death-1 (PD-1). In two independent cohorts, higher nonsynonymous mutation burden in tumors was associated with improved objective response, durable clinical benefit, and progression-free survival. Efficacy also correlated with the molecular smoking signature, higher neoantigen burden, and DNA repair pathway mutations; each factor was also associated with mutation burden. In one responder, neoantigen-specific CD8+ T cell responses paralleled tumor regression, suggesting that anti-PD-1 therapy enhances neoantigen-specific T cell reactivity. Our results suggest that the genomic landscape of lung cancers shapes response to anti-PD-1 therapy. Copyright © 2015, American Association for the Advancement of Science.
                Bookmark

                Author and article information

                Contributors
                david.carbone@osumc.edu
                Journal
                Nat Med
                Nat Med
                Nature Medicine
                Nature Publishing Group US (New York )
                1078-8956
                1546-170X
                12 September 2022
                12 September 2022
                2022
                : 28
                : 10
                : 2155-2161
                Affiliations
                [1 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, Memorial Sloan Kettering Cancer Center, ; New York, NY USA
                [2 ]GRID grid.5386.8, ISNI 000000041936877X, Weill Cornell Medical College, ; New York, NY USA
                [3 ]GRID grid.261331.4, ISNI 0000 0001 2285 7943, The Ohio State University Comprehensive Cancer Center, ; Columbus, OH USA
                [4 ]GRID grid.5718.b, ISNI 0000 0001 2187 5445, University Medicine Essen, Ruhrlandklinik, Department of Interventional Pulmonology, , University Duisburg-Essen, ; Essen, Germany
                [5 ]GRID grid.7497.d, ISNI 0000 0004 0492 0584, German Cancer Research Center (DKFZ), A420, ; Heidelberg, Germany
                [6 ]GRID grid.411778.c, ISNI 0000 0001 2162 1728, Fifth Medical Department, Section of Pulmonology, Faculty of the University of Heidelberg, , University Medicine Mannheim, ; Mannheim, Germany
                [7 ]GRID grid.430503.1, ISNI 0000 0001 0703 675X, University of Colorado School of Medicine, ; Aurora, CO USA
                [8 ]GRID grid.240145.6, ISNI 0000 0001 2291 4776, The University of Texas MD Anderson Cancer Center, ; Houston, TX USA
                [9 ]GRID grid.65499.37, ISNI 0000 0001 2106 9910, Dana-Farber Cancer Institute, ; Boston, MA USA
                [10 ]GRID grid.62560.37, ISNI 0000 0004 0378 8294, Brigham and Women’s Hospital, ; Boston, MA USA
                [11 ]GRID grid.412332.5, ISNI 0000 0001 1545 0811, The Ohio State University Wexner Medical Center, ; Columbus, OH USA
                [12 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, David Geffen School of Medicine at UCLA, ; Los Angeles, CA USA
                [13 ]GRID grid.10789.37, ISNI 0000 0000 9730 2769, Biobank Lab, Department of Molecular Biophysics, , University of Lodz, ; Lodz, Poland
                [14 ]GRID grid.10789.37, ISNI 0000 0000 9730 2769, Centre for Data Analysis, Modeling and Computational Sciences, , University of Lodz, ; Lodz, Poland
                [15 ]GRID grid.418158.1, ISNI 0000 0004 0534 4718, Genentech, Inc., ; South San Francisco, CA USA
                [16 ]GRID grid.468198.a, ISNI 0000 0000 9891 5233, Moffitt Cancer Center and Research Institute, ; Tampa, FL USA
                [17 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Washington University School of Medicine, ; St. Louis, MO USA
                [18 ]Pelotonia Institute for Immuno-Oncology, Columbus, OH USA
                [19 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Alvin J. Siteman Cancer Center, ; St. Louis, MO USA
                [20 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, New York University Langone Health, ; New York, NY USA
                [21 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Perlmutter Comprehensive Cancer Center, New York University, ; New York, NY USA
                [22 ]GRID grid.477517.7, ISNI 0000 0004 0396 4462, Karmanos Cancer Institute, ; Detroit, MI USA
                [23 ]GRID grid.410425.6, ISNI 0000 0004 0421 8357, City of Hope Comprehensive Cancer Center, ; Duarte, CA USA
                [24 ]GRID grid.413480.a, ISNI 0000 0004 0440 749X, Dartmouth-Hitchcock Medical Center, ; Lebanon, NH USA
                [25 ]GRID grid.499234.1, ISNI 0000 0004 0433 9255, University of Colorado Cancer Center, ; Aurora, CO USA
                [26 ]GRID grid.189967.8, ISNI 0000 0001 0941 6502, Winship Cancer Institute, Emory University School of Medicine, ; Atlanta, GA USA
                [27 ]GRID grid.47100.32, ISNI 0000000419368710, Yale University School of Medicine, ; New Haven, CT USA
                Author information
                http://orcid.org/0000-0002-5838-9982
                http://orcid.org/0000-0002-5668-5219
                http://orcid.org/0000-0001-8686-638X
                http://orcid.org/0000-0003-2149-1622
                http://orcid.org/0000-0003-3002-1921
                Article
                1962
                10.1038/s41591-022-01962-5
                9556329
                36097216
                be94790e-7f58-420c-9656-a3d979d5671b
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 March 2022
                : 21 July 2022
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature America, Inc. 2022

                Medicine
                non-small-cell lung cancer,phase ii trials
                Medicine
                non-small-cell lung cancer, phase ii trials

                Comments

                Comment on this article