Prognostic Values of Systemic Inflammatory Immunological Markers in Glioblastoma: A Systematic Review and Meta-Analysis

被引:29
|
作者
Jarmuzek, Pawel [1 ]
Kozlowska, Klaudia [2 ]
Defort, Piotr [1 ]
Kot, Marcin [1 ]
Zembron-Lacny, Agnieszka [3 ]
机构
[1] Univ Zielona Gora, Univ Hosp Zielona Gora, Dept Nervous Syst Dis, Coll Med,Neurosurg Ctr, PL-65417 Zielona Gora, Poland
[2] Wroclaw Univ Sci & Technol, Fac Fundamental Problems Technol, Dept Biomed Engn, PL-50370 Wroclaw, Poland
[3] Univ Zielona Gora, Dept Appl & Clin Physiol, Coll Med, PL-65417 Zielona Gora, Poland
关键词
brain tumor; cell-free DNA; inflammation; neutrophils; platelets; prognosticators; CENTRAL-NERVOUS-SYSTEM; TO-LYMPHOCYTE RATIO; SURVIVAL; NEUTROPHILS; CANCER; INDEX; PREDICT; TUMORS; BIOMARKERS; GLIOMA;
D O I
10.3390/cancers15133339
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary The authors report the most up-to-date review and a thorough meta-analysis of inflammatory, immunological markers such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII) and systemic inflammation response index (SIRI) as prognostic factors in patients with glioblastoma. A number of studies showed the important prognostic value of inflammatory immune markers. Similarly, some studies reported on the potential benefits of the measurements of small cell-free DNA fragments (cfDNA) released into the bloodstream as the biomarker of early diagnosis or/and prognosis. Twenty-one studies met our meta-analysis criteria assessing the prognostic significance of NLR, PLR, SII, SIRI, and cfDNA. According to our findings, NLR, PLR, and cfDNA fare significantly better than SII and SIRI in the evaluation of prognosis in glioblastoma patients. NLR and PLR calculated from routine blood tests, potentially in combination with measurements of cfDNA, can help assess disease progression and optimize treatment and follow-up. Background. Neutrophils are an important part of the tumor microenvironment, which stimulates inflammatory processes through phagocytosis, degranulation, release of small DNA fragments (cell-free DNA), and presentation of antigens. Since neutrophils accumulate in peripheral blood in patients with advanced-stage cancer, a high neutrophil-to-lymphocyte ratio can be a biomarker of a poor prognosis in patients with glioblastoma. The present study aimed to explore the prognostic value of the preoperative levels of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), systemic inflammation response index (SIRI), and cell-free DNA (cfDNA) to better predict prognostic implications in the survival rate of glioblastoma patients. Methods. The meta-analysis was carried out according to the recommendations and standards established by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Databases of PubMed, EBSCO, and Medline were systematically searched to select all the relevant studies published up to December 2022. Results. Poorer prognoses were recorded in patients with a high NLR or PLR when compared with the patients with a low NLR or PLR (HR 1.51, 95% CI 1.24-1.83, p < 0.0001 and HR 1.34, 95% CI 1.10-1.63, p < 0.01, respectively). Similarly, a worse prognosis was reported for patients with a higher cfDNA (HR 2.35, 95% CI 1.27-4.36, p < 0.01). The SII and SIRI values were not related to glioblastoma survival (p = 0.0533 and p = 0.482, respectively). Conclusions. Thus, NLR, PLR, and cfDNA, unlike SII and SIRI, appeared to be useful and convenient peripheral inflammatory markers to assess the prognosis in glioblastoma.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] PIWI family proteins as prognostic markers in cancer: a systematic review and meta-analysis
    Alexios-Fotios A. Mentis
    Efthimios Dardiotis
    Nicholas A. Romas
    Athanasios G. Papavassiliou
    Cellular and Molecular Life Sciences, 2020, 77 : 2289 - 2314
  • [32] PIWI family proteins as prognostic markers in cancer: a systematic review and meta-analysis
    Mentis, Alexios-Fotios A.
    Dardiotis, Efthimios
    Romas, Nicholas A.
    Papavassiliou, Athanasios G.
    CELLULAR AND MOLECULAR LIFE SCIENCES, 2020, 77 (12) : 2289 - 2314
  • [33] ASSOCIATIONS BETWEEN DISCRIMINATION AND MARKERS OF SYSTEMIC INFLAMMATION: A SYSTEMATIC REVIEW AND META-ANALYSIS
    Cardenas, Megan
    Antenucci, Natalie
    Muscatell, Keely
    PSYCHOSOMATIC MEDICINE, 2024, 86 (05): : A178 - A178
  • [34] Thrombocytopenia as a Prognostic Marker for Systemic Lupus Erythematosus: A Systematic Review and Meta-analysis
    Chen, Zhixian
    Zhong, Han
    Dong, Guangfu
    AMERICAN JOURNAL OF THE MEDICAL SCIENCES, 2019, 357 (06): : 461 - 467
  • [35] Radiomic Features as Artificial Intelligence Prognostic Models in Glioblastoma: A Systematic Review and Meta-Analysis
    Wardhana, Dewa Putu Wisnu
    Maliawan, Sri
    Mahadewa, Tjokorda Gde Bagus
    Rosyidi, Rohadi Muhammad
    Wiranata, Sinta
    DIAGNOSTICS, 2024, 14 (21)
  • [36] Prognostic Value of YKL-40 in Patients with Glioblastoma: a Systematic Review and Meta-analysis
    Gang Qin
    Xianfeng Li
    Zilong Chen
    Guangcha Liao
    Yu Su
    Yaode Chen
    Wei Zhang
    Molecular Neurobiology, 2017, 54 : 3264 - 3270
  • [37] Prognostic Value of YKL-40 in Patients with Glioblastoma: a Systematic Review and Meta-analysis
    Qin, Gang
    Li, Xianfeng
    Chen, Zilong
    Liao, Guangcha
    Su, Yu
    Chen, Yaode
    Zhang, Wei
    MOLECULAR NEUROBIOLOGY, 2017, 54 (05) : 3264 - 3270
  • [38] Inflammatory Markers in Obsessive-Compulsive Disorder: A Systematic Review and Meta-Analysis
    Constable, M.
    Hou, R.
    EUROPEAN PSYCHIATRY, 2022, 65 : S295 - S295
  • [39] Inflammatory Markers and Risk of Type 2 Diabetes A systematic review and meta-analysis
    Wang, Xia
    Bao, Wei
    Liu, Jun
    OuYang, Ying-Ying
    Wang, Di
    Rong, Shuang
    Xiao, Xiao
    Shan, Zhi-Lei
    Zhang, Yan
    Yao, Ping
    Liu, Lie-Gang
    DIABETES CARE, 2013, 36 (01) : 166 - 175
  • [40] Psychosocial factors at work and inflammatory markers: protocol for a systematic review and meta-analysis
    Eguchi, Hisashi
    Watanabe, Kazuhiro
    Kawakami, Norito
    Ando, Emiko
    Arima, Hideaki
    Asai, Yumi
    Inoue, Akiomi
    Inoue, Reiko
    Iwanaga, Mai
    Imamura, Kotaro
    Kobayashi, Yuka
    Nishida, Norimitsu
    Otsuka, Yasumasa
    Sakuraya, Asuka
    Tsuno, Kanami
    Shimazu, Akihito
    Tsutsumi, Akizumi
    BMJ OPEN, 2018, 8 (08):