Pan-immune inflammation value as a prognostic biomarker for cancer patients treated with immune checkpoint inhibitors Article Swipe
Tianrui Kuang
,
Zhendong Qiu
,
Kunpeng Wang
,
Lilong Zhang
,
Keshuai Dong
,
Weixing Wang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fimmu.2024.1326083
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fimmu.2024.1326083
Background Immune checkpoint inhibitors (ICIs) represent a paradigm shift in the development of cancer therapy. However, the improved efficacy of ICIs remains to be further investigated. We conducted a systematic review and meta-analysis to evaluate the pan-immunoinflammatory value (PIV) and PILE score used to predict response to ICI therapy. Methods We searched selected databases for studies on pan-immune inflammation values and their association with outcomes of treatment with immune checkpoint inhibitors. We used hazard ratios (HRS) and 95% confidence intervals (CI) to summarize survival outcomes. All data analyses were performed using STATA 15.0. Results 7 studies comprising 982 patients were included in the meta-analysis. The pooled results showed that higher PIV was significantly associated with shorter overall survival OS (HR = 1.895, 95%CI: 1.548-2.318) and progression-free survival (PFS) (HR = 1.582, 95%CI: 1.324-1.890). Subgroup analyses also confirmed the reliability of the results. Conclusions High PIV and PILE metrics are associated with lower survival in cancer patients receiving ICIs.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3389/fimmu.2024.1326083
- https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1326083/pdf
- OA Status
- gold
- Cited By
- 27
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391750589
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391750589Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fimmu.2024.1326083Digital Object Identifier
- Title
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Pan-immune inflammation value as a prognostic biomarker for cancer patients treated with immune checkpoint inhibitorsWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-12Full publication date if available
- Authors
-
Tianrui Kuang, Zhendong Qiu, Kunpeng Wang, Lilong Zhang, Keshuai Dong, Weixing WangList of authors in order
- Landing page
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https://doi.org/10.3389/fimmu.2024.1326083Publisher landing page
- PDF URL
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https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1326083/pdfDirect 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://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1326083/pdfDirect OA link when available
- Concepts
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Medicine, Hazard ratio, Internal medicine, Oncology, Meta-analysis, Immune system, Cancer, Biomarker, Immunotherapy, Confidence interval, Inflammation, Immunology, Chemistry, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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27Total citation count in OpenAlex
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2025: 21, 2024: 6Per-year citation counts (last 5 years)
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32Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.meta-analysis. | 103 |
| abstract_inverted_index.progression-free | 125 |
| abstract_inverted_index.pan-immunoinflammatory | 36 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 98 |
| corresponding_author_ids | https://openalex.org/A5045272535, https://openalex.org/A5100739968 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I37461747, https://openalex.org/I4210140357 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8199999928474426 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.98900965 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |