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Published August 11, 2022 | Supplemental Material
Journal Article Open

A novel high-risk subpopulation identified by CTSL and ZBTB7B in gastric cancer

Abstract

Background. Gastric cancer (GC) is characterised by a heterogeneous tumour microenvironment (TME) that is closely associated with the response to treatment, especially immunotherapies. However, most previous GC molecular subtyping systems need complex gene signatures and examination methods, restricting their clinical applications. Thus, we developed a new TME-based molecular subtype using only two genes. Methods. Nine independent GC cohorts at the tissue- or single-cell level with more than 2000 patients were used in this study, including data we examined by single-cell sequencing, quantitative RT-PCR and immunochemistry/immunofluorescence staining. Nine different methods, five existing molecular subtypes and a series of signatures were used to evaluate the TME and molecular characteristics of GC. Results. We established a CTSL/ZBTB7B subtyping system and uncovered the novel CTSLHighZBTB7BLow high-risk subgroup, but characterised by relative higher immune cell infiltration and lower tumour purity. This subgroup demonstrate higher levels of immune checkpoints and more enrichment of cancer-related pathways compared with other cases. Conclusions. We identified a high-risk subpopulation with unique TME features based on expressions of CTSL and ZBTB7B, suggesting a counterbalancing phenotype between immunostimulatory and immunosuppressive mechanisms. This subtyping system could be used to select treatment and management strategies for GC.

Additional Information

© The Author(s), under exclusive licence to Springer Nature Limited 2022. Received 23 February 2022. Revised 21 July 2022. Accepted 26 July 2022. Published 08 August 2022. We acknowledge the TCGA and GEO project. We thank developers of each dataset, method and package used in this study. We would like to thank the Affiliated Hospital of Jiangnan University for providing GC samples. We thank Yong Zhang (South China University of Technology) for their helpful comments. This work was supported by grants from the National Natural Science Foundation of China (82002550, 81972220 and 82173063), Medical Key Professionals Program of Jiangsu Province (AF052141), Wuxi Taihu Lake Talent Plan for Leading Talents in Medical and Health Profession, Wuxi Medical Key Discipline (ZDXK2021002) and Wuxi Medical Innovation Team (CXTP003). Contributions. KC, ZH and BF designed the study. KC, BL and QL performed bioinformatics analyses, proofread and visualisation. SY, BL, SS and BF performed GC samples collective and information maintenance. KC and ZH designed the wet-lab experiments. SY, BL and LG performed the wet-lab experiments. KC, SY and BL analysed and visualised the wet-lab experiment results. KC and BL performed graphic abstract. All authors discussed the results. KC, ZH and BF wrote the manuscript. Data availability. Available of public GC datasets are described in the 'Methods' section. The data that support this study are available from the corresponding author upon reasonable request. The authors declare no competing interests. Ethics approval and consent to participate. This study was approved by the Clinical Research Ethics Committees of Affiliated Hospital of Jiangnan University and written informed consent was obtained from all the participants. Consent for publication: Not applicable.

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Additional details

Created:
August 22, 2023
Modified:
December 21, 2023