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      Neoadjuvant immunotherapy with nivolumab and ipilimumab induces major pathological responses in patients with head and neck squamous cell carcinoma

      research-article
      1 , 2 , 3 , 4 , 5 , 5 , 4 , 6 , 6 , 6 , 7 , 1 , 8 , 1 , 8 , 1 , 8 , 1 , 8 , 1 , 8 , 1 , 8 , 1 , 8 , 1 , 8 , 1 , 8 , 9 , 1 , 10 , 11 , 12 , 12 , 13 , 13 , 14 , 6 , 4 , 15 , 4 , 15 , 4 , 16 , 16 , 4 , 16 , 1 , 5 , 8 , 17 ,
      Nature Communications
      Nature Publishing Group UK
      Immunotherapy, Phase II trials, Translational research, Head and neck cancer, Tumour immunology

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          Abstract

          Surgery for locoregionally advanced head and neck squamous cell carcinoma (HNSCC) results in 30‒50% five-year overall survival. In IMCISION (NCT03003637), a non-randomized phase Ib/IIa trial, 32 HNSCC patients are treated with 2 doses (in weeks 1 and 3) of immune checkpoint blockade (ICB) using nivolumab (NIVO MONO, n = 6, phase Ib arm A) or nivolumab plus a single dose of ipilimumab (COMBO, n = 26, 6 in phase Ib arm B, and 20 in phase IIa) prior to surgery. Primary endpoints are feasibility to resect no later than week 6 (phase Ib) and primary tumor pathological response (phase IIa). Surgery is not delayed or suspended for any patient in phase Ib, meeting the primary endpoint. Grade 3‒4 immune-related adverse events are seen in 2 of 6 (33%) NIVO MONO and 10 of 26 (38%) total COMBO patients. Pathological response, defined as the %-change in primary tumor viable tumor cell percentage from baseline biopsy to on-treatment resection, is evaluable in 17/20 phase IIa patients and 29/32 total trial patients (6/6 NIVO MONO, 23/26 COMBO). We observe a major pathological response (MPR, 90‒100% response) in 35% of patients after COMBO ICB, both in phase IIa (6/17) and in the whole trial (8/23), meeting the phase IIa primary endpoint threshold of 10%. NIVO MONO’s MPR rate is 17% (1/6). None of the MPR patients develop recurrent HSNCC during 24.0 months median postsurgical follow-up. FDG-PET-based total lesion glycolysis identifies MPR patients prior to surgery. A baseline AID/APOBEC-associated mutational profile and an on-treatment decrease in hypoxia RNA signature are observed in MPR patients. Our data indicate that neoadjuvant COMBO ICB is feasible and encouragingly efficacious in HNSCC.

          Abstract

          Immune checkpoint blockade has become standard care for patients with recurrent metastatic head and neck squamous cell carcinoma (HNSCC). Here the authors present the results of a non-randomized phase Ib/IIa trial, reporting safety and efficacy of neoadjuvant nivolumab monotherapy and nivolumab plus ipilimumab prior to standard-of-care surgery in patients with HNSCC. .

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            STAR: ultrafast universal RNA-seq aligner.

            Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
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              • Record: found
              • Abstract: not found
              • Article: not found

              Cutadapt removes adapter sequences from high-throughput sequencing reads

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                Author and article information

                Contributors
                c.zuur@nki.nl
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                22 December 2021
                22 December 2021
                2021
                : 12
                : 7348
                Affiliations
                [1 ]GRID grid.430814.a, ISNI 0000 0001 0674 1393, Department of Head and Neck Surgery and Oncology, , The Netherlands Cancer Institute, ; Amsterdam, The Netherlands
                [2 ]GRID grid.5645.2, ISNI 000000040459992X, Department of Radiation Oncology, , Erasmus University Medical Center, ; Rotterdam, The Netherlands
                [3 ]Neogene Therapeutics, Amsterdam, The Netherlands
                [4 ]GRID grid.430814.a, ISNI 0000 0001 0674 1393, Division of Molecular Oncology & Immunology, , The Netherlands Cancer Institute, ; Amsterdam, The Netherlands
                [5 ]GRID grid.430814.a, ISNI 0000 0001 0674 1393, Division of Tumor Biology & Immunology, , The Netherlands Cancer Institute, ; Amsterdam, The Netherlands
                [6 ]GRID grid.430814.a, ISNI 0000 0001 0674 1393, Department of Pathology, , The Netherlands Cancer Institute, ; Amsterdam, The Netherlands
                [7 ]GRID grid.4494.d, ISNI 0000 0000 9558 4598, Department of Pathology and Medical Biology, , Groningen University Medical Center, ; Groningen, The Netherlands
                [8 ]GRID grid.7177.6, ISNI 0000000084992262, Department of Oral and Maxillofacial Surgery, , Amsterdam University Medical Center location AMC, ; Amsterdam, The Netherlands
                [9 ]GRID grid.412966.e, ISNI 0000 0004 0480 1382, Department of Otorhinolaryngology Head and Neck Surgery, , Maastricht University Medical Center+, ; Maastricht, The Netherlands
                [10 ]GRID grid.7177.6, ISNI 0000000084992262, Department of Radiology, , Amsterdam University Medical Center location VUmc, ; Amsterdam, The Netherlands
                [11 ]GRID grid.430814.a, ISNI 0000 0001 0674 1393, Department of Nuclear Medicine, , The Netherlands Cancer Institute, ; Amsterdam, The Netherlands
                [12 ]GRID grid.430814.a, ISNI 0000 0001 0674 1393, Department of Radiation Oncology, , The Netherlands Cancer Institute, ; Amsterdam, The Netherlands
                [13 ]GRID grid.430814.a, ISNI 0000 0001 0674 1393, Department of Biometrics, , The Netherlands Cancer Institute, ; Amsterdam, The Netherlands
                [14 ]GRID grid.430814.a, ISNI 0000 0001 0674 1393, Core Facility Molecular Pathology & Biobanking, , The Netherlands Cancer Institute, ; Amsterdam, The Netherlands
                [15 ]GRID grid.499559.d, Oncode Institute, ; Utrecht, The Netherlands
                [16 ]GRID grid.430814.a, ISNI 0000 0001 0674 1393, Department of Medical Oncology, , The Netherlands Cancer Institute, ; Amsterdam, The Netherlands
                [17 ]GRID grid.10419.3d, ISNI 0000000089452978, Department of Otorhinoloaryngology Head and Neck Surgery, , Leiden University Medical Center, ; Leiden, The Netherlands
                Author information
                http://orcid.org/0000-0002-8318-5455
                http://orcid.org/0000-0002-8690-4179
                http://orcid.org/0000-0003-1718-2093
                http://orcid.org/0000-0002-6338-6743
                http://orcid.org/0000-0002-4482-2191
                http://orcid.org/0000-0003-1293-3177
                http://orcid.org/0000-0003-0517-8804
                http://orcid.org/0000-0002-7945-5846
                http://orcid.org/0000-0001-5884-7704
                Article
                26472
                10.1038/s41467-021-26472-9
                8695578
                34937871
                fa398e8b-d1c2-479c-83da-1a12b34dec65
                © 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
                : 18 February 2021
                : 4 October 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100002491, Bristol-Myers Squibb (Bristol-Myers Squibb Company);
                Award ID: CA209-703
                Award Recipient :
                Funded by: Riki Stichting Dorpsstraat 21 1191 BH Ouderkerk aan de Amstel The Netherlands 0031203454456 mail@rikistichting.nl https://rikistichting.nl/
                Categories
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                © The Author(s) 2021

                Uncategorized
                immunotherapy,phase ii trials,translational research,head and neck cancer,tumour immunology

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