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Analysis of the immune-inflammatory indices for patients with metastatic hormone-sensitive and castration-resistant prostate cancer

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机构: [1]Sichuan Univ, West China Hosp, Inst Urol, Dept Urol, Guoxue Alley 37, Chengdu 610041, Sichuan, Peoples R China [2]Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Dept Urol, Chengdu 610031, Sichuan, Peoples R China
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关键词: Immune-inflammatory Indices Metastatic Hormone-sensitive Prostate Cancer Metastatic Castration-resistant Prostate Cancer Biomarker Cancer Prognosis

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BackgroundInflammation plays a pivotal role in the progression of prostate cancer (PCa). Several immune-inflammatory indices, including neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), lymphocyte to monocyte ratio (LMR) and platelet to lymphocyte ratio (PLR), lung immune prognostic index (LIPI), systemic inflammation response index (SIRI) and systemic immune inflammation index (SII), have demonstrated their prognostic values in several solid malignancies. However, Comparisons of superiority with these seven indices' predictive efficacy within metastatic hormone-sensitive PCa (mHSPC) and metastatic castration-resistant PCa (mCRPC) remain uncertain.MethodsWe retrospectively included 407 patients diagnosed with mHSPC and 158 patients with mCRPC at West China Hospital from 2005 to 2022. The seven immune-inflammatory indices were computed based on hematological data of mHSPC at initial diagnosis and mCRPC at progression to CRPC. Prognostic value for castration-resistant prostate cancer-free survival (CFS), overall survival (OS), prostate-specific antigen progression-free survival (PSA-PFS) and prostate-specific antigen (PSA) response was assessed using Kaplan-Meier curves, Cox regression models, and chi-square tests. The predictive performance of each immune-inflammatory index was assessed using the area under the curve (AUC) in time-dependent receiver operating characteristic curve (ROC) analysis and C-index calculation.ResultsAll seven immune-inflammatory indices were significantly associated with CFS and OS in the mHSPC cohort, as well as with PSA response, PSA-PFS, and OS in the mCRPC cohort. In the mHSPC cohort, LIPI consistently exhibited higher AUC values compared to NLR, dNLR, LMR, PLR, SII, and SIRI for predicting CFS and OS. This indicates that LIPI had a superior discriminative ability compared to the other indices (C-index of LIPI: 0.643 and 0.686 for CFS and OS, respectively). Notably, the predictive advantage of LIPI over other indices in the mHSPC stage diminished in the mCRPC stage.ConclusionsThis study firstly confirmed the prognostic value of SII, SIRI and LIPI in mHSPC and mCRPC, and revealed that LIPI had a higher predictive power than NLR, dNLR, LMR, PLR, SII and SIRI in mHSPC. These non-invasive indices can enable clinicians to quickly assess the prognosis of patients.

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基金编号: 82203110 82172785 81974398 ZYJC21020 ZYGD22004 2021YFS0119 2022-I2M-CT-B-098 X-J-2020-016 mnzl202002 mnzl202007

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出版当年[2023]版:
大类 | 2 区 医学
小类 | 3 区 肿瘤学
最新[2023]版:
大类 | 2 区 医学
小类 | 3 区 肿瘤学
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Q2 ONCOLOGY
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Q2 ONCOLOGY

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第一作者机构: [1]Sichuan Univ, West China Hosp, Inst Urol, Dept Urol, Guoxue Alley 37, Chengdu 610041, Sichuan, Peoples R China [2]Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Dept Urol, Chengdu 610031, Sichuan, Peoples R China
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