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

      CAT and CXCL8 are crucial cofactors for the progression of nonalcoholic steatohepatitis to hepatocellular carcinoma, the immune infiltration and prognosis of hepatocellular carcinoma

      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.

          Abstract

          Purpose

          Hepatocellular carcinoma (HCC) is a malignant tumour characterized by high morbidity and mortality. Immunotherapy is an important treatment newly approved for the treatment for advanced hepatocellular carcinoma. However, how NASH progresses to HCC and the association between the immune signature in HCC and patient prognosis remain unclear.

          Methods

          Data from NASH and NASH-HCC patients were obtained from the GEO database. Differentially expressed genes were screened and hub genes were identified. The enrichment analysis, clustering, cibersort, ssGSEA, Xcell and immune checkpoint expression data of the samples were analysed. Survival analysis of dual genes was performed using TCGA liver cancer samples and the lasso regression model, and Cox regression analysis was conducted. Pathology specimens from 21 NASH-associated hepatocellular carcinoma patients were collected, and immunohistochemical staining was used to verify gene expression.

          Results

          Compared with HCC patients with high CAT and low CXCL8 expression, those with low CAT and high CXCL8 expression had significantly higher levels of infiltration of multiple immune cell types and the common immune checkpoints CD274, PDCD1 and CTLA4. Furthermore, CAT was a protective factor, and CXCL8 was a risk factor for the prognosis of HCC patients.

          Conclusion

          CAT and CXCL8 might impact NASH-HCC progression. HCC patients with low CAT and high CXCL8 expression might have more extensive immune cell infiltration and stronger tumour immune escape. However, probably due to their different effects on CD8 + T cells and reactive oxygen species, increased expression of CAT contributes to improved prognosis in HCC patients, whereas increased expression of CXCL8 leads to a poor prognosis.

          Related collections

          Most cited references62

          • Record: found
          • Abstract: found
          • Article: found

          Hallmarks of Cancer: The Next Generation

          The hallmarks of cancer comprise six biological capabilities acquired during the multistep development of human tumors. The hallmarks constitute an organizing principle for rationalizing the complexities of neoplastic disease. They include sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, and activating invasion and metastasis. Underlying these hallmarks are genome instability, which generates the genetic diversity that expedites their acquisition, and inflammation, which fosters multiple hallmark functions. Conceptual progress in the last decade has added two emerging hallmarks of potential generality to this list-reprogramming of energy metabolism and evading immune destruction. In addition to cancer cells, tumors exhibit another dimension of complexity: they contain a repertoire of recruited, ostensibly normal cells that contribute to the acquisition of hallmark traits by creating the "tumor microenvironment." Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer. Copyright © 2011 Elsevier Inc. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses

            Abstract Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response

              Cancer treatment by immune checkpoint blockade (ICB) can bring long-lasting clinical benefits, but only a fraction of patients respond to treatment. To predict ICB response, we developed TIDE, a computational method to model two primary mechanisms of tumor immune evasion: the induction of T cell dysfunction in tumors with high infiltration of cytotoxic T lymphocytes (CTL) and the prevention of T cell infiltration in tumors with low CTL level. We identified signatures of T cell dysfunction from large tumor cohorts by testing how the expression of each gene in tumors interacts with the CTL infiltration level to influence patient survival. We also modeled factors that exclude T cell infiltration into tumors using expression signatures from immunosuppressive cells. Using this framework and pre-treatment RNA-Seq or NanoString tumor expression profiles, TIDE predicted the outcome of melanoma patients treated with first-line anti-PD1 or anti-CTLA4 more accurately than other biomarkers such as PD-L1 level and mutation load. TIDE also revealed new candidate ICB resistance regulators, such as SERPINB9 , demonstrating utility for immunotherapy research.
                Bookmark

                Author and article information

                Contributors
                liuxlei3@mail.sysu.edu.cn
                zoubj6@mail.sysu.edu.cn
                lijian5@mail.sysu.edu.cn
                Journal
                Discov Oncol
                Discov Oncol
                Discover Oncology
                Springer US (New York )
                2730-6011
                7 March 2025
                7 March 2025
                December 2025
                : 16
                : 272
                Affiliations
                Department of Hepatobiliary Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, ( https://ror.org/023te5r95) 52 Mei Hua East Road, Zhuhai, 519000 Guangdong Province China
                Article
                2051
                10.1007/s12672-025-02051-y
                11889291
                40053253
                b5caa889-c103-447b-82c5-5baa302daa49
                © The Author(s) 2025

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

                History
                : 3 November 2024
                : 4 March 2025
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81971773
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100021171, Basic and Applied Basic Research Foundation of Guangdong Province;
                Award ID: 2022A1515011244
                Award Recipient :
                Categories
                Research
                Custom metadata
                © Springer Science+Business Media LLC, part of Springer Nature 2025

                nonalcoholic steatohepatitis,hepatocellular carcinoma,immunotherapy,prognosis

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content303

                Most referenced authors1,638