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      KRT17 high/CXCL8 + Tumor Cells Display Both Classical and Basal Features and Regulate Myeloid Infiltration in the Pancreatic Cancer Microenvironment

      research-article
      1 , 2 , * , , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 10 , 10 , 10 , 11 , 11 , 11 , 11 , 10 , 4 , 12 , 12 , 10 , 9 , 10 , 10 , 1 , 11 , 10 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 7 , 2 , 4 , 13 , 14 , 2 , 10 , 2 , 10 , 2 , 15 , 2 , 12 , 2 , 7 , 10 , * ,
      Clinical Cancer Research
      American Association for Cancer Research

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          Abstract

          Purpose:

          Pancreatic ductal adenocarcinoma (PDAC) is generally divided in two subtypes, classical and basal. Recently, single-cell RNA sequencing has uncovered the coexistence of basal and classical cancer cells, as well as intermediary cancer cells, in individual tumors. The latter remains poorly understood; here, we sought to characterize them using a multimodal approach.

          Experimental Design:

          We performed subtyping on a single-cell RNA sequencing dataset containing 18 human PDAC samples to identify multiple intermediary subtypes. We generated patient-derived PDAC organoids for functional studies. We compared single-cell profiling of matched blood and tumor samples to measure changes in the local and systemic immune microenvironment. We then leveraged longitudinally patient-matched blood to follow individual patients over the course of chemotherapy.

          Results:

          We identified a cluster of KRT17-high intermediary cancer cells that uniquely express high levels of CXCL8 and other cytokines. The proportion of KRT17 high/CXCL8 + cells in patient tumors correlated with intratumoral myeloid abundance, and, interestingly, high protumor peripheral blood granulocytes, implicating local and systemic roles. Patient-derived organoids maintained KRT17 high/CXCL8 + cells and induced myeloid cell migration in a CXCL8-dependent manner. In our longitudinal studies, plasma CXCL8 decreased following chemotherapy in responsive patients, while CXCL8 persistence portended worse prognosis.

          Conclusions:

          Through single-cell analysis of PDAC samples, we identified KRT17 high/CXCL8 + cancer cells as an intermediary subtype, marked by a unique cytokine profile and capable of influencing myeloid cells in the tumor microenvironment and systemically. The abundance of this cell population should be considered for patient stratification in precision immunotherapy.

          See related commentary by Faraoni and McAllister, p. 2297

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          Most cited references57

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          clusterProfiler: an R package for comparing biological themes among gene clusters.

          Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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            Is Open Access

            Fast and accurate short read alignment with Burrows–Wheeler transform

            Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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              Comprehensive Integration of Single-Cell Data

              Single-cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomic listing of clusters. As new methods arise to measure distinct cellular modalities, a key analytical challenge is to integrate these datasets to better understand cellular identity and function. Here, we develop a strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities. After demonstrating improvement over existing methods for integrating scRNA-seq data, we anchor scRNA-seq experiments with scATAC-seq to explore chromatin differences in closely related interneuron subsets and project protein expression measurements onto a bone marrow atlas to characterize lymphocyte populations. Lastly, we harmonize in situ gene expression and scRNA-seq datasets, allowing transcriptome-wide imputation of spatial gene expression patterns. Our work presents a strategy for the assembly of harmonized references and transfer of information across datasets.
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                Author and article information

                Journal
                Clin Cancer Res
                Clin Cancer Res
                Clinical Cancer Research
                American Association for Cancer Research
                1078-0432
                1557-3265
                03 June 2024
                18 October 2023
                : 30
                : 11
                : 2497-2513
                Affiliations
                [1 ]Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan.
                [2 ]Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan.
                [3 ]Immunology Graduate Program, University of Michigan, Ann Arbor, Michigan.
                [4 ]Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan.
                [5 ]Department of Molecular and Cellular Pathology, University of Michigan, Ann Arbor, Michigan.
                [6 ]Medical Scientist Training Program, University of Michigan, Ann Arbor, Michigan.
                [7 ]Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, Michigan.
                [8 ]Université Paris Cité, Centre de Recherche sur l'Inflammation (CRI), INSERM, U1149, CNRS, ERL 8252, Paris, France.
                [9 ]Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan.
                [10 ]Department of Surgery, University of Michigan, Ann Arbor, Michigan.
                [11 ]Cancer Biology Program, University of Michigan, Ann Arbor, Michigan.
                [12 ]Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.
                [13 ]Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
                [14 ]Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
                [15 ]Department of Pathology, University of Michigan, Ann Arbor, Michigan.
                Author notes
                [* ] Corresponding Authors: Marina Pasca di Magliano, University of Michigan–Ann Arbor, 1500 East Medical Center Drive, Ann Arbor, MI 48109. E-mail: marinapa@ 123456umich.edu ; and Eileen S. Carpenter, eicarpen@ 123456med.umich.edu

                Clin Cancer Res 2024;30:2497–513

                Author information
                https://orcid.org/0000-0001-6775-6943
                https://orcid.org/0000-0002-3273-9905
                https://orcid.org/0000-0003-0884-8754
                https://orcid.org/0000-0002-1505-4015
                https://orcid.org/0000-0002-8146-4450
                https://orcid.org/0000-0003-1564-3562
                https://orcid.org/0000-0001-8084-1173
                https://orcid.org/0000-0003-1641-2045
                https://orcid.org/0009-0003-0623-8212
                https://orcid.org/0009-0001-3006-0405
                https://orcid.org/0009-0001-2875-1776
                https://orcid.org/0000-0001-6765-0129
                https://orcid.org/0000-0001-9535-9275
                https://orcid.org/0000-0003-4086-9213
                https://orcid.org/0000-0002-8034-9979
                https://orcid.org/0000-0002-1936-3712
                https://orcid.org/0000-0002-5890-9546
                https://orcid.org/0000-0002-6660-4136
                https://orcid.org/0000-0002-9392-0644
                https://orcid.org/0009-0000-6035-4124
                https://orcid.org/0000-0002-5123-4945
                https://orcid.org/0009-0006-6144-7668
                https://orcid.org/0009-0000-0460-1514
                https://orcid.org/0000-0001-6131-7798
                https://orcid.org/0009-0005-0432-1893
                https://orcid.org/0000-0003-2403-2173
                https://orcid.org/0009-0000-4668-8806
                https://orcid.org/0009-0009-4069-2500
                https://orcid.org/0000-0003-3585-6557
                https://orcid.org/0000-0002-5865-6948
                https://orcid.org/0009-0007-2569-2364
                https://orcid.org/0000-0001-6004-1558
                https://orcid.org/0000-0002-2065-1367
                https://orcid.org/0000-0002-4652-1106
                https://orcid.org/0009-0007-6689-1204
                https://orcid.org/0000-0002-3913-8045
                https://orcid.org/0000-0002-8416-4218
                https://orcid.org/0000-0001-7048-9268
                https://orcid.org/0000-0003-0617-8224
                https://orcid.org/0000-0003-0680-2373
                https://orcid.org/0000-0002-9613-426X
                https://orcid.org/0000-0001-5987-0404
                https://orcid.org/0000-0001-5193-9817
                https://orcid.org/0000-0003-4893-1587
                https://orcid.org/0000-0003-1892-1548
                https://orcid.org/0000-0001-9632-9035
                Article
                CCR-23-1421
                10.1158/1078-0432.CCR-23-1421
                11024060
                37851080
                1d8b3226-3438-4ea3-852e-d4f6a4742d35
                ©2023 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

                History
                : 12 May 2023
                : 26 July 2023
                : 13 October 2023
                Page count
                Pages: 17
                Funding
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: R01-CA271510
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: R01-CA264843
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: R01-CA268426
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: U01-CA274154
                Award Recipient :
                Funded by: U.S. Department of Veterans Affairs (VA), DOI 10.13039/100000738;
                Award ID: IK2BX005875
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: U54-CA274371
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: R01-CA275182
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: P30-CA046592
                Award Recipient :
                Funded by: Division of Diabetes, Endocrinology, and Metabolic Diseases (DEM), DOI 10.13039/100017618;
                Award ID: T32-DK094775
                Award Recipient :
                Funded by: National Institute of Biomedical Imaging and Bioengineering (NIBIB), DOI 10.13039/100000070;
                Award ID: R21-EB026089
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: R37CA214955
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: K08CA201581
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: K08-CA234222
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: R37-CA262209
                Award Recipient :
                Funded by: National Institute of Allergy and Infectious Diseases (NIAID), DOI 10.13039/100000060;
                Award ID: T32-AI007413
                Award Recipient :
                Funded by: National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: R01-CA260752
                Award Recipient :
                Categories
                Gastrointestinal Cancers
                Pancreatic Cancer
                Tumor Heterogeneity
                Tumor Microenvironment
                Cytokines and the Microenvironment
                Translational Cancer Mechanisms and Therapy

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