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      Pretreatment neutrophil-to-lymphocyte ratio and mutational burden as biomarkers of tumor response to immune checkpoint inhibitors

      research-article
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      Nature Communications
      Nature Publishing Group UK
      Biomarkers, Translational research, Cancer genetics, Cancer immunotherapy, Tumour immunology

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          Abstract

          Treatment with immune checkpoint inhibitors (ICI) has demonstrated clinical benefit for a wide range of cancer types. Because only a subset of patients experience clinical benefit, there is a strong need for biomarkers that are easily accessible across diverse practice settings. Here, in a retrospective cohort study of 1714 patients with 16 different cancer types treated with ICI, we show that higher neutrophil-to-lymphocyte ratio (NLR) is significantly associated with poorer overall and progression-free survival, and lower rates of response and clinical benefit, after ICI therapy across multiple cancer types. Combining NLR with tumor mutational burden (TMB), the probability of benefit from ICI is significantly higher (OR = 3.22; 95% CI, 2.26-4.58; P < 0.001) in the NLR low/TMB high group compared to the NLR high/TMB low group. NLR is a suitable candidate for a cost-effective and widely accessible biomarker, and can be combined with TMB for additional predictive capacity.

          Abstract

          There is an unmet clinical need for simple, accessible biomarkers to select patients who are more likely to respond to immune checkpoint therapy. Here the authors show that a lower neutrophil-to-lymphocyte ratio is associated with better overall and progressive-free survival, as well as higher rate of response, in a multi-cancer cohort of patients treated with immune checkpoint inhibitors.

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          Most cited references57

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          Hallmarks of Cancer: The Next Generation

          The hallmarks of cancer comprise six biological capabilities acquired during the multistep development of human tumors. The hallmarks constitute an organizing principle for rationalizing the complexities of neoplastic disease. They include sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, and activating invasion and metastasis. Underlying these hallmarks are genome instability, which generates the genetic diversity that expedites their acquisition, and inflammation, which fosters multiple hallmark functions. Conceptual progress in the last decade has added two emerging hallmarks of potential generality to this list-reprogramming of energy metabolism and evading immune destruction. In addition to cancer cells, tumors exhibit another dimension of complexity: they contain a repertoire of recruited, ostensibly normal cells that contribute to the acquisition of hallmark traits by creating the "tumor microenvironment." Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer. Copyright © 2011 Elsevier Inc. All rights reserved.
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            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.
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              PD-1 Blockade in Tumors with Mismatch-Repair Deficiency.

              Somatic mutations have the potential to encode "non-self" immunogenic antigens. We hypothesized that tumors with a large number of somatic mutations due to mismatch-repair defects may be susceptible to immune checkpoint blockade.
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                Author and article information

                Contributors
                chant@mskcc.org
                seshanv@mskcc.org
                morrisl@mskcc.org
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                1 February 2021
                1 February 2021
                2021
                : 12
                : 729
                Affiliations
                [1 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, Department of Surgery, , Memorial Sloan Kettering Cancer Center, ; New York, NY USA
                [2 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, Immunogenomics and Precision Oncology Platform, , Memorial Sloan Kettering Cancer Center, ; New York, NY USA
                [3 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, Human Oncology and Pathogenesis Program, , Memorial Sloan Kettering Cancer Center, ; New York, NY USA
                [4 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, Information Systems, , Memorial Sloan Kettering Cancer Center, ; New York, NY USA
                [5 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, Department of Medicine, , Memorial Sloan Kettering Cancer Center, ; New York, NY USA
                [6 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, Department of Pathology, , Memorial Sloan Kettering Cancer Center, ; New York, NY USA
                [7 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, Department of Radiation Oncology, , Memorial Sloan Kettering Cancer Center, ; New York, NY USA
                [8 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, Department of Epidemiology and Biostatistics, , Memorial Sloan Kettering Cancer Center, ; New York, NY USA
                Author information
                http://orcid.org/0000-0003-3397-2888
                http://orcid.org/0000-0002-1699-2046
                http://orcid.org/0000-0002-8065-4412
                http://orcid.org/0000-0002-2956-223X
                http://orcid.org/0000-0002-0930-8824
                http://orcid.org/0000-0003-2538-5456
                http://orcid.org/0000-0002-6444-6592
                http://orcid.org/0000-0001-9873-5862
                http://orcid.org/0000-0001-5406-4104
                http://orcid.org/0000-0002-9258-2698
                http://orcid.org/0000-0002-4417-2280
                Article
                20935
                10.1038/s41467-021-20935-9
                7851155
                33526794
                bfbb0bd5-5cbe-43bf-b5dc-5e9818b33b75
                © The Author(s) 2021

                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
                : 10 July 2020
                : 4 January 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100008052, Fundación Alfonso Martín Escudero (Alfonso Martin Escudero Foundation);
                Award ID: N/A
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000054, U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI);
                Award ID: R01 CA205426
                Award ID: R35 CA232097
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
                Categories
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                © The Author(s) 2021

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                biomarkers,translational research,cancer genetics,cancer immunotherapy,tumour immunology

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