Identification and validation of pyroptosis-related gene landscape in prognosis and immunotherapy of ovarian cancer Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1186/s13048-022-01065-2
Background Emerging evidence has highlighted the biological significance of pyroptosis in tumor tumorigenesis and progression. Nonetheless, the potential roles of pyroptosis in tumor immune microenvironment and target therapy of ovarian cancer (OC) remain unknown. Methods In this study, with a series of bioinformatic and machine learning approaches, we comprehensively evaluated genetic alterations and transcriptome profiles of pyroptosis-associated genes (PYAGs) with TCGA-OV datasets. Consensus molecular clustering was performed to determine pyroptosis-associated clusters (PACs) and gene clusters in OC. Subsequently, component analysis algorithm (PCA) was employed to construct Pyrsig score and a highly accurate nomogram was established to evaluate its efficacy. Meanwhile, we systematically performed association analysis for these groups with prognosis, clinical features, TME cell-infiltrating characteristics, drug response and immunotherapeutic efficacy. Immunohistochemistry was conducted to verify molecular expression with clinical samples. Results The somatic mutations and copy number variation (CNV) of 51 PYRGs in OC samples were clarified. Two distinct PACs (PAC1/2) and three gene clusters (A/B/C) were identified based on 1332 OC samples, PAC1 and gene cluster A were significantly associated with favorable overall survival (OS), clinicopathological features and TME cell-infiltrating characteristics. Subsequently, Pyrsig score was successfully established to demonstrate the prognostic value and immune characteristics of pyroptosis in OC, low Pyrsig score, characterized by activated immune cell infiltration, indicated prolonged OS, increased sensitivity of some chemotherapeutic drugs and enhanced efficacy of anti-PD-L1 immunotherapy, Consequently, a nomogram was successfully established to improve the clinical applicability and stability of Pyrsig score. With clinical OC samples, GSDMD and GZMB proteins were validated highly expressed in OC and associated with immune infiltration and Pyrsig score, GZMB and CD8 proteins were regarded as independent prognostic factors of OC. Conclusion This work revealed pyroptosis played a non-negligible role in prognosis value, clinicopathological characteristics and tumor immune infiltration microenvironment in OC, which provided novel insights into identifying and characterizing landscape of tumor immune microenvironment, thereby guiding more effective prognostic evaluation and tailored immunotherapy strategies of OC.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s13048-022-01065-2
- https://ovarianresearch.biomedcentral.com/counter/pdf/10.1186/s13048-022-01065-2
- OA Status
- gold
- Cited By
- 11
- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4318310991Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s13048-022-01065-2Digital Object Identifier
- Title
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Identification and validation of pyroptosis-related gene landscape in prognosis and immunotherapy of ovarian cancerWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-01-27Full publication date if available
- Authors
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Lingling Gao, Feiquan Ying, Jing Cai, Minggang Peng, Man Xiao, Si Sun, Ya Zeng, Zhoufang Xiong, Liqiong Cai, Rui Gao, Zehua WangList of authors in order
- Landing page
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https://doi.org/10.1186/s13048-022-01065-2Publisher landing page
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https://ovarianresearch.biomedcentral.com/counter/pdf/10.1186/s13048-022-01065-2Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://ovarianresearch.biomedcentral.com/counter/pdf/10.1186/s13048-022-01065-2Direct OA link when available
- Concepts
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Medicine, Ovarian cancer, Immunotherapy, Identification (biology), Oncology, Cancer immunotherapy, Pyroptosis, Internal medicine, Cancer, Biology, Ecology, Inflammation, InflammasomeTop concepts (fields/topics) attached by OpenAlex
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11Total citation count in OpenAlex
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2025: 1, 2024: 5, 2023: 5Per-year citation counts (last 5 years)
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57Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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