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      Phase II trial of neoadjuvant sitravatinib plus nivolumab in patients undergoing nephrectomy for locally advanced clear cell renal cell carcinoma

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          Abstract

          Sitravatinib is an immunomodulatory tyrosine kinase inhibitor that can augment responses when combined with programmed death-1 inhibitors such as nivolumab. We report a single-arm, interventional, phase 2 study of neoadjuvant sitravatinib in combination with nivolumab in patients with locally advanced clear cell renal cell carcinoma (ccRCC) prior to curative nephrectomy (NCT03680521). The primary endpoint was objective response rate (ORR) prior to surgery with a null hypothesis ORR = 5% and the alternative hypothesis set at ORR = 30%. Secondary endpoints were safety; pharmacokinetics (PK) of sitravatinib; immune effects, including changes in programmed cell death–ligand 1 expression; time-to-surgery; and disease-free survival (DFS). Twenty patients were evaluable for safety and 17 for efficacy. The ORR was 11.8%, and 24-month DFS probability was 88·0% (95% CI 61.0 to 97.0). There were no grade 4/5 treatment-related adverse events. Sitravatinib PK did not change following the addition of nivolumab. Correlative blood and tissue analyses showed changes in the tumour microenvironment resulting in an immunologically active tumour by the time of surgery (median time-to-surgery: 50 days). The primary endpoint of this study was not met as short-term neoadjuvant sitravatinib and nivolumab did not substantially increase ORR.

          Abstract

          In patients with locally advanced clear cell renal cell carcinoma (ccRCC), neoadjuvant therapy prior to curative nephrectomy has been shown to improve patient outcomes. Here, the authors report the safety and radiological efficacy of a phase II clinical trial investigating neoadjuvant sitravatinib (tyrosine kinase inhibitor) and nivolumab (PD-1 inhibitor) in locally advanced ccRCC.

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          Most cited references29

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          Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

          Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.
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            PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes.

            DNA microarrays can be used to identify gene expression changes characteristic of human disease. This is challenging, however, when relevant differences are subtle at the level of individual genes. We introduce an analytical strategy, Gene Set Enrichment Analysis, designed to detect modest but coordinate changes in the expression of groups of functionally related genes. Using this approach, we identify a set of genes involved in oxidative phosphorylation whose expression is coordinately decreased in human diabetic muscle. Expression of these genes is high at sites of insulin-mediated glucose disposal, activated by PGC-1alpha and correlated with total-body aerobic capacity. Our results associate this gene set with clinically important variation in human metabolism and illustrate the value of pathway relationships in the analysis of genomic profiling experiments.
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              The Clavien-Dindo classification of surgical complications: five-year experience.

              The lack of consensus on how to define and grade adverse postoperative events has greatly hampered the evaluation of surgical procedures. A new classification of complications, initiated in 1992, was updated 5 years ago. It is based on the type of therapy needed to correct the complication. The principle of the classification was to be simple, reproducible, flexible, and applicable irrespective of the cultural background. The aim of the current study was to critically evaluate this classification from the perspective of its use in the literature, by assessing interobserver variability in grading complex complication scenarios and to correlate the classification grades with patients', nurses', and doctors' perception. Reports from the literature using the classification system were systematically analyzed. Next, 11 scenarios illustrating difficult cases were prepared to develop a consensus on how to rank the various complications. Third, 7 centers from different continents, having routinely used the classification, independently assessed the 11 scenarios. An agreement analysis was performed to test the accuracy and reliability of the classification. Finally, the perception of the severity was tested in patients, nurses, and physicians by presenting 30 scenarios, each illustrating a specific grade of complication. We noted a dramatic increase in the use of the classification in many fields of surgery. About half of the studies used the contracted form, whereas the rest used the full range of grading. Two-thirds of the publications avoided subjective terms such as minor or major complications. The study of 11 difficult cases among various centers revealed a high degree of agreement in identifying and ranking complications (89% agreement), and enabled a better definition of unclear situations. Each grade of complications significantly correlated with the perception by patients, nurses, and physicians (P < 0.05, Kruskal-Wallis test). This 5-year evaluation provides strong evidence that the classification is valid and applicable worldwide in many fields of surgery. No modification in the general principle of classification is warranted in view of the use in ongoing publications and trials. Subjective, inaccurate, or confusing terms such as "minor or major" should be removed from the surgical literature.
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                Author and article information

                Contributors
                jakaram@mdanderson.org
                PMsaouel@mdanderson.org
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                10 May 2023
                10 May 2023
                2023
                : 14
                : 2684
                Affiliations
                [1 ]GRID grid.240145.6, ISNI 0000 0001 2291 4776, Department of Urology, , The University of Texas MD Anderson Cancer Center, ; Houston, TX 77030 USA
                [2 ]GRID grid.240145.6, ISNI 0000 0001 2291 4776, Department of Translational Molecular Pathology, , The University of Texas MD Anderson Cancer Center, ; Houston, TX 77030 USA
                [3 ]GRID grid.240145.6, ISNI 0000 0001 2291 4776, Department of Genitourinary Medical Oncology, , The University of Texas MD Anderson Cancer Center, ; Houston, TX USA
                [4 ]GRID grid.240145.6, ISNI 0000 0001 2291 4776, David H. Koch Center for Applied Research of Genitourinary Cancers, , The University of Texas, MD Anderson Cancer Center, ; Houston, TX 77030 USA
                [5 ]GRID grid.421297.b, ISNI 0000 0004 0437 0826, Mirati Therapeutics, Inc., ; San Diego, CA 92121 USA
                Author information
                http://orcid.org/0000-0001-7697-9591
                http://orcid.org/0000-0001-6505-8308
                http://orcid.org/0000-0002-1317-9287
                http://orcid.org/0000-0003-1638-1445
                http://orcid.org/0000-0003-1915-4491
                http://orcid.org/0000-0002-3805-7307
                http://orcid.org/0000-0002-9007-0621
                http://orcid.org/0000-0001-9068-1636
                http://orcid.org/0000-0002-1253-630X
                http://orcid.org/0000-0003-4513-6123
                Article
                38342
                10.1038/s41467-023-38342-7
                10172300
                37164948
                4da0b58e-73be-4e14-b988-e660f4954fd1
                © The Author(s) 2023

                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
                : 27 March 2022
                : 27 April 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100006293, American Society of Clinical Oncology (ASCO);
                Funded by: FundRef https://doi.org/10.13039/100000054, U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI);
                Award ID: CA016672
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                tumour immunology,cancer immunotherapy,targeted therapies
                Uncategorized
                tumour immunology, cancer immunotherapy, targeted therapies

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