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Prognostic Value of Preoperative Systemic Immune-Inflammation Index in Patients with Cervical Cancer
Open accessAbstract
The systemic immune-inflammation index (SII) based on peripheral lymphocyte, neutrophil and platelet counts has been considered a good index that reflects the local immune response and systemic inflammation. However, the use of the SII has not been reported in cervical cancer. In this study, Kaplan-Meier survival analysis showed that a high SII was associated with poor prognosis in cervical cancer patients in the primary and validation cohorts. A higher SII had a significant correlation with larger tumours but had no correlation with other clinicopathological parameters. Among all systemic immune indexes, the SII is the only independent prognostic factor for cervical cancer patients. Compared with the area under the curve for the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and monocyte/lymphocyte ratio (MLR), the area for the SII was larger at 3 and 5 years. In addition, the SII still retains it prognostic values across all FIGO stages. The SII can independently predict the overall survival of patients with cervical cancer receiving radical resection and is thus superior to existing systemic inflammatory indexes. The prognostic nomogram based on the SII is a reliable model for predicting the postoperative survival of patients with cervical cancer.
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“Higher levels have been associated with worse prognosis in several medical diseases, in particular in the field of oncology.”
From Anxiety and depression in COVID-19 survivors: role of inflammatory and clinical predictors (2020) · cites this paper as Huang et al., 2019
In the citing paper
“The SII is an objective marker of the balance between host systemic inflammation and immune response status considering together neutrophil, platelet, and lymphocyte all of them involved in different pathway of immune/inflammatory response (Huang et al., 2019).”
From Anxiety and depression in COVID-19 survivors: role of inflammatory and clinical predictors (2020) · cites this paper as Huang et al., 2019
In the citing paper
“SII, considering together neutrophil, platelet, and lymphocyte, is an objective marker of the balance between host systemic inflammation and immune response (Huang et al., 2019).”
From Persistent psychopathology and neurocognitive impairment in COVID-19 survivors: effect of inflammatory biomarkers at three-month follow-up (2021) · cites this paper as Huang et al., 2019
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Metadata
- Authors
- Huang, H., Liu, Q., Zhu, L., Zhang, Y., Lu, X., Wu, Y., & Liu, L.
- Affiliations
- Jiangsu University (CN)
- Corresponding author
- Liu, Li
- Venue
- Scientific Reports
- Published
- 2019-03-01
- Volume
- 9
- Issue
- 1
- Pages
- 3284-3284
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC6397230
- OpenAlex
- W2916589624
- Cited by
- 408
- References
- 38
- Citations by year
- 2026: 28 · 2025: 73 · 2024: 105 · 2023: 90 · 2022: 48 · 2021: 40 · 2020: 20 · 2019: 4
- FWCI
- 11.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Suzhou Municipal Health Commission
- Government of Jiangsu Province
- Topics
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Stress, Anesthesia, and Immune Response
- Health Sciences › Medicine › Obstetrics and Gynecology › Endometrial and Cervical Cancer Treatments
- Keywords
- cervical cancer, systemic immune-inflammation index, prognostic factors, overall survival, systemic inflammation, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, radical resection, prognostic nomogram, FIGO stage
- MeSH terms
- Adult, Aged, Aged, 80 and over, Blood Cell Count, Uterine Cervical Neoplasms, Female, Follow-Up Studies, Humans, Inflammation, Middle Aged, Retrospective Studies, Survival Rate, Models, Immunological, Disease-Free Survival
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