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      Characterization of T cell receptor repertoire in penile cancer

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          Abstract

          Tumor-infiltrating lymphocytes (TILs) play a key role in regulating the host immune response and shaping tumor microenvironment. It has been previously shown that T cell infiltration in penile tumors was associated with clinical outcomes. However, few studies have reported the T cell receptor (TCR) repertoire in patients with penile cancer. In the present study, we evaluated the TCR repertoires in tumor and adjacent normal tissues from 22 patients with penile squamous cell carcinoma (PSCC). Analysis of the T cell receptor beta-variable (TRBV) and joining (TRBJ) genes usage and analysis of complementarity determining region 3 (CDR3) length distribution did not show significant differences between tumor and matched normal tissues. Moreover, analysis of the median Jaccard index indicated a limited overlap of TCR repertoire between these groups. Compared with normal tissues, a significantly lower diversity and higher clonality of TCR repertoire was observed in tumor samples, which was associated with clinical characteristics. Further analysis of transcriptional profiles demonstrated that tumor samples with high clonality showed increased expression of genes associated with CD8 + T cells. In addition, we analyzed the TCR repertoire of CD4 + T cells and CD8 + T cells isolated from tumor tissues. We identified that expanded clonotypes were predominantly in the CD8 + T cell compartment, which presented with an exhausted phenotype. Overall, we comprehensively compared TCR repertoire between penile tumor and normal tissues and demonstrated the presence of distinct T cell immune microenvironments in patients with PSCC.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00262-023-03615-z.

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          Most cited references49

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          HISAT: a fast spliced aligner with low memory requirements.

          HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.
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            fastp: an ultra-fast all-in-one FASTQ preprocessor

            Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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              StringTie enables improved reconstruction of a transcriptome from RNA-seq reads.

              Methods used to sequence the transcriptome often produce more than 200 million short sequences. We introduce StringTie, a computational method that applies a network flow algorithm originally developed in optimization theory, together with optional de novo assembly, to assemble these complex data sets into transcripts. When used to analyze both simulated and real data sets, StringTie produces more complete and accurate reconstructions of genes and better estimates of expression levels, compared with other leading transcript assembly programs including Cufflinks, IsoLasso, Scripture and Traph. For example, on 90 million reads from human blood, StringTie correctly assembled 10,990 transcripts, whereas the next best assembly was of 7,187 transcripts by Cufflinks, which is a 53% increase in transcripts assembled. On a simulated data set, StringTie correctly assembled 7,559 transcripts, which is 20% more than the 6,310 assembled by Cufflinks. As well as producing a more complete transcriptome assembly, StringTie runs faster on all data sets tested to date compared with other assembly software, including Cufflinks.
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                Author and article information

                Contributors
                15808005558@163.com
                zhaojing6271@126.com
                doclan@yeah.net
                Journal
                Cancer Immunol Immunother
                Cancer Immunol Immunother
                Cancer Immunology, Immunotherapy
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0340-7004
                1432-0851
                27 January 2024
                27 January 2024
                2024
                : 73
                : 2
                : 24
                Affiliations
                [1 ]Chongqing Key Laboratory of High Active Traditional Chinese Drug Delivery System, Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, ( https://ror.org/05gvw2741) Chongqing, 401331 People’s Republic of China
                [2 ]College of Pharmacy, Chongqing Medical University, ( https://ror.org/017z00e58) Chongqing, 400016 People’s Republic of China
                [3 ]GRID grid.410570.7, ISNI 0000 0004 1760 6682, Department of Urology, Daping Hospital, , Army Medical University, ; Chongqing, 400042 People’s Republic of China
                [4 ]Urinary Nephropathy Center, The Thirteenth People’s Hospital of Chongqing, Chongqing, 400053 People’s Republic of China
                [5 ]School of Pharmacy, Chongqing Medical and Pharmaceutical College, ( https://ror.org/05gvw2741) Chongqing, 401331 People’s Republic of China
                Article
                3615
                10.1007/s00262-023-03615-z
                10822009
                38280010
                91abaef4-d614-46cf-970f-c53b2559d212
                © The Author(s) 2024

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 September 2023
                : 4 December 2023
                Funding
                Funded by: the science and technology research program of Chongqing Education Commission of China
                Award ID: KJ202302886967715
                Award Recipient :
                Funded by: the natural science foundation of Chongqing
                Award ID: CSTB2023NSCQ-BHX0225
                Award Recipient :
                Funded by: the school-level project fund of Chongqing Medical and Pharmaceutical College
                Award ID: ygz2022102
                Award Recipient :
                Categories
                Research
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2024

                Oncology & Radiotherapy
                penile cancer,tumor microenvironment,high-throughput sequencing,tcr repertoire,tcr clonality

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