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Clinical utility of the pan-immune-inflammation value in breast cancer patients
BACKGROUND: The newly discovered pan-immune-inflammation value (PIV) has been illustrated to have good prognostic value for cancer patient prognosis. However, the prognostic usefulness of PIV in breast cancer patients is unknown. As a result, to aid the clinic in providing a distinctive and trustwor...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499041/ https://www.ncbi.nlm.nih.gov/pubmed/37711203 http://dx.doi.org/10.3389/fonc.2023.1223786 |
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author | Qi, Xiaoyan Qiao, Boyang Song, Tingting Huang, Dan Zhang, Hui Liu, Yang Jin, Qi Yang, Ming Liu, Delong |
author_facet | Qi, Xiaoyan Qiao, Boyang Song, Tingting Huang, Dan Zhang, Hui Liu, Yang Jin, Qi Yang, Ming Liu, Delong |
author_sort | Qi, Xiaoyan |
collection | PubMed |
description | BACKGROUND: The newly discovered pan-immune-inflammation value (PIV) has been illustrated to have good prognostic value for cancer patient prognosis. However, the prognostic usefulness of PIV in breast cancer patients is unknown. As a result, to aid the clinic in providing a distinctive and trustworthy biomarker to better assess breast cancer patient’s prognosis, we conducted this meta-analysis to investigate the relationship between PIV and the survival of breast cancer patients. METHODS: We conducted a systematic search of Pubmed, Embase, the Cochrane Library, and the CNKI databases to screen for eligible studies published up to April 2023. Outcomes included overall survival (OS), progression-free survival (PFS), and pathological complete response (pCR). The hazard ratio (HR) and the corresponding 95% confidence interval (CI) were used as the indicators. STATA 15.0 software was used to perform meta-analysis, sensitivity analysis, and publication bias analysis. RESULTS: A total of eight articles, involving 2953 patients, met the inclusion criteria and were included in this meta-analysis. The results showed that patients with higher PIV levels had a significantly shorter OS (HR: 2.045, 95% CI: 1.355-3.086, P = 0.001) and PFS (HR: 1.466, 95% CI: 1.163-1.848, P = 0.001). Besides, the PIV value was negatively correlated with the efficacy of neoadjuvant chemotherapy. Sensitivity analysis showed that the results of this study were reliable and stable. CONCLUSIONS: PIV has a good prognostic value in breast cancer patients and is expected to be a prognostic biomarker for breast cancer. |
format | Online Article Text |
id | pubmed-10499041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104990412023-09-14 Clinical utility of the pan-immune-inflammation value in breast cancer patients Qi, Xiaoyan Qiao, Boyang Song, Tingting Huang, Dan Zhang, Hui Liu, Yang Jin, Qi Yang, Ming Liu, Delong Front Oncol Oncology BACKGROUND: The newly discovered pan-immune-inflammation value (PIV) has been illustrated to have good prognostic value for cancer patient prognosis. However, the prognostic usefulness of PIV in breast cancer patients is unknown. As a result, to aid the clinic in providing a distinctive and trustworthy biomarker to better assess breast cancer patient’s prognosis, we conducted this meta-analysis to investigate the relationship between PIV and the survival of breast cancer patients. METHODS: We conducted a systematic search of Pubmed, Embase, the Cochrane Library, and the CNKI databases to screen for eligible studies published up to April 2023. Outcomes included overall survival (OS), progression-free survival (PFS), and pathological complete response (pCR). The hazard ratio (HR) and the corresponding 95% confidence interval (CI) were used as the indicators. STATA 15.0 software was used to perform meta-analysis, sensitivity analysis, and publication bias analysis. RESULTS: A total of eight articles, involving 2953 patients, met the inclusion criteria and were included in this meta-analysis. The results showed that patients with higher PIV levels had a significantly shorter OS (HR: 2.045, 95% CI: 1.355-3.086, P = 0.001) and PFS (HR: 1.466, 95% CI: 1.163-1.848, P = 0.001). Besides, the PIV value was negatively correlated with the efficacy of neoadjuvant chemotherapy. Sensitivity analysis showed that the results of this study were reliable and stable. CONCLUSIONS: PIV has a good prognostic value in breast cancer patients and is expected to be a prognostic biomarker for breast cancer. Frontiers Media S.A. 2023-08-30 /pmc/articles/PMC10499041/ /pubmed/37711203 http://dx.doi.org/10.3389/fonc.2023.1223786 Text en Copyright © 2023 Qi, Qiao, Song, Huang, Zhang, Liu, Jin, Yang and Liu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Qi, Xiaoyan Qiao, Boyang Song, Tingting Huang, Dan Zhang, Hui Liu, Yang Jin, Qi Yang, Ming Liu, Delong Clinical utility of the pan-immune-inflammation value in breast cancer patients |
title | Clinical utility of the pan-immune-inflammation value in breast cancer patients |
title_full | Clinical utility of the pan-immune-inflammation value in breast cancer patients |
title_fullStr | Clinical utility of the pan-immune-inflammation value in breast cancer patients |
title_full_unstemmed | Clinical utility of the pan-immune-inflammation value in breast cancer patients |
title_short | Clinical utility of the pan-immune-inflammation value in breast cancer patients |
title_sort | clinical utility of the pan-immune-inflammation value in breast cancer patients |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499041/ https://www.ncbi.nlm.nih.gov/pubmed/37711203 http://dx.doi.org/10.3389/fonc.2023.1223786 |
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