8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Association of Intratumoral Microbiota With Prognosis in Patients With Nasopharyngeal Carcinoma From 2 Hospitals in China

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Key Points

          Question

          Is there characteristic microbiota in nasopharyngeal carcinoma (NPC) tissues and, if so, is it associated with prognosis?

          Findings

          In this multicenter cohort study including 802 patients with NPC, we confirmed the existence of microbiota within NPC tissues, which mainly originated from the nasopharynx. Intratumoral bacterial load was associated with poor survival in patients with NPC and was negatively associated with T-lymphocyte infiltration.

          Meaning

          The results suggest that the intratumoral bacterial load may be a reliable prognostic indicator for patients with NPC.

          Abstract

          This multicenter cohort study analyzes the associations between intratumoral microbiota and prognostication in patients with nasopharyngeal carcinoma.

          Abstract

          Importance

          Microbiota-tumor interactions have qualified microbiota as a promising prognostic biomarker in various types of cancers. Although the nasopharynx acts as a crucial niche of the upper respiratory tract microbiome, whether the intratumoral microbiota exists and its clinical significance in nasopharyngeal carcinoma (NPC) remain uncertain.

          Objective

          To evaluate the clinical significance of intratumoral microbiota for individual prognostication in patients with NPC.

          Design, Setting, and Participants

          This retrospective cohort study included NPC biopsy samples from 2 hospitals: Sun Yat-sen University Cancer Center (Guangzhou, China) and Zhejiang Cancer Hospital (Hangzhou, China) between January 2004 and November 2016, with follow-up through November 2020. A total of 802 patients were included according to the following criteria: with histologically proven NPC, without distant metastasis at initial diagnosis, had not received antitumor treatment before biopsy sampling, aged between 18 and 70 years, with complete medical records and regular follow-up, without a history of cancer, and successfully extracted enough DNA for experiments.

          Main Outcomes and Measures

          The primary end point was disease-free survival, and the secondary end points included distant metastasis–free survival and overall survival. To assess the existence and load of intratumoral microbiota in 96 patients with NPC with or without tumor relapse, 16S rRNA sequencing and quantitative polymerase chain reaction were used. The associations between intratumoral bacterial load and clinical outcome were evaluated in 241 fresh-frozen NPC samples (training cohort) and validated in paraffin-embedded NPC samples of internal (n = 233) and external (n = 232) validation cohorts. Metagenomic and transcriptome analyses were performed to ascertain the origin and underlying mechanism of intratumoral bacteria.

          Results

          A total of 802 patients with NPC (mean [SD] age, 46.2 [10.6] years; 594 [74.1%] male) were enrolled. Microbiota presented within NPC tumor tissues, among which Corynebacterium and Staphylococcus predominated. Patients with a high bacterial load in the training cohort had inferior rates of disease-free survival (hazard ratio [HR], 2.90; 95% CI, 1.72-4.90; P < .001), distant metastasis-free survival (HR, 3.18; 95% CI, 1.58-6.39; P < .001), and overall survival (HR, 3.41; 95% CI, 1.90-6.11, P < .001) than those with a low bacterial load, a finding that was validated by the internal and external validation cohorts. Single-nucleotide variant analysis revealed that the nasopharyngeal microbiota was the main origin of NPC intratumoral bacteria. Transcriptome and digital pathology analyses demonstrated that a higher intratumoral bacterial load was negatively associated with T-lymphocyte infiltration.

          Conclusions and Relevance

          Intratumoral bacterial load was a robust prognostic tool for patients with NPC in this cohort study, indicating potential guidance for treatment decisions in patients at different levels of risk of malignant progression.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              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.
                Bookmark

                Author and article information

                Journal
                JAMA Oncol
                JAMA Oncol
                JAMA Oncology
                American Medical Association
                2374-2437
                2374-2445
                14 July 2022
                September 2022
                14 July 2022
                : 8
                : 9
                : 1301-1309
                Affiliations
                [1 ]Department of Experimental Research, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
                [2 ]Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
                [3 ]Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
                [4 ]Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, People’s Republic of China
                [5 ]Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
                [6 ]Cancer Hospital of the University of Chinese Academy of Science (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC) Chinese Academy of Sciences, Hanzhou, People’s Republic of China
                Author notes
                Article Information
                Accepted for Publication: May 26, 2022.
                Published Online: July 14, 2022. doi:10.1001/jamaoncol.2022.2810
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Qiao H et al. JAMA Oncology.
                Corresponding Author: Na Liu, PhD, Department of Experimental Research, State Key Laboratory of Oncology in South China; Sun Yat-sen University Cancer Center, 651 Dongfeng Rd East, Guangzhou 510060, People’s Republic of China ( liun1@ 123456sysucc.org.cn ).
                Author Contributions: Drs Qiao and Liu had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Drs Qiao, Tan, H. Li, J. Li, X. Chen, and Y. Li contributed equally as co-first authors.
                Concept and design: X. Chen, Zhou, Liu.
                Acquisition, analysis, or interpretation of data: Qiao, Tan, H. Li, J. Li, X. Chen, Y. Li, W. Li, Tang, Zhang, Liang, He, Zhao, Huang, Gong, Q. Li, Ye, K. Chen, Sun, Ma, Liu.
                Drafting of the manuscript: Qiao, Tan, J. Li, Zhou, Liu.
                Critical revision of the manuscript for important intellectual content: Qiao, Tan, H. Li, X. Chen, Y. Li, W. Li, Tang, Zhou, Zhang, Liang, He, Zhao, Huang, Gong, Q. Li, Ye, K. Chen, Sun, Ma.
                Statistical analysis: Qiao, Tan, H. Li, J. Li, Liu.
                Obtained funding: Qiao, Zhou, Ma, Liu.
                Administrative, technical, or material support: X. Chen, Y. Li, Sun, Ma, Liu.
                Supervision: X. Chen, Sun, Ma, Liu.
                Conflict of Interest Disclosures: None reported.
                Funding/Support: This study was supported by grants from the Key Research and Development Program of Guangzhou City (202206010013 to Dr Liu), the Fundamental Research Funds for the Central Universities, Sun Yat-sen University (22YKLJ07 to Dr Liu), National Natural Science Foundation of China (81922057 to Dr Liu), and China Postdoctoral Science Foundation (2021M703729 to Dr Qiao).
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Additional Information: The key raw data of the 16S rRNA sequencing and metagenomic sequencing have been uploaded to the Sequence Read Archive (PRJNA781368 and PRJNA781360). RNA sequencing data have been deposited at the Gene Expression Omnibus (GSE189642). All raw data have been deposited at the Research Data Deposit public platform (RDD approval number RDDA2022390026) ( www.researchdata.org.cn).
                Article
                coi220034
                10.1001/jamaoncol.2022.2810
                9284409
                35834269
                ba1ee45b-74bd-4cb1-a9c5-325945e3df93
                Copyright 2022 Qiao H et al. JAMA Oncology.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 18 March 2022
                : 26 May 2022
                Funding
                Funded by: Key Research and Development Program of Guangzhou City
                Funded by: Sun Yat-sen University
                Funded by: National Natural Science Foundation of China
                Funded by: China Postdoctoral Science Foundation
                Categories
                Research
                Research
                Original Investigation
                Online First
                Comments

                Comments

                Comment on this article