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血液生物标志物作为实体瘤免疫治疗患者的预测和预后因素——现状与展望

Blood-Based Biomarkers as Predictive and Prognostic Factors in Immunotherapy-Treated Patients with Solid Tumors-Currents and Perspectives.

作者信息

Kaczmarek Franciszek, Marcinkowska-Gapińska Anna, Bartkowiak-Wieczorek Joanna, Nowak Michał, Kmiecik Michał, Brzezińska Kinga, Dotka Mariusz, Brosz Paweł, Firlej Wojciech, Wojtyła-Buciora Paulina

机构信息

Student Scientific Society, Poznan University of Medical Sciences, 61-701 Poznan, Poland.

Department of Biophysics, Poznan University of Medical Sciences, 61-701 Poznan, Poland.

出版信息

Cancers (Basel). 2025 Jun 16;17(12):2001. doi: 10.3390/cancers17122001.


DOI:10.3390/cancers17122001
PMID:40563651
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12190272/
Abstract

Immunotherapy has revolutionized cancer treatment; however, the availability of cost-effective blood-based biomarkers for prognostic and predictive factors of immune treatment in patients with solid tumors remains limited. Due to low cost and easy accessibility, blood-based biomarkers should constitute an essential component of studies to optimize and monitor immunotherapy. Currently available markers that can be measured in peripheral blood include total monocyte count, myeloid-derived suppressor cells (MDSCs), regulatory T cells (Tregs), relative eosinophil count, cytokine levels (such as IL-6, IL-8, and IL-10), lactate dehydrogenase (LDH), C-reactive protein (CRP), soluble forms of CTLA-4 and PD-1 or PD-L1, as well as circulating tumor DNA (ctDNA). In our mini-review, we discuss the latest evidence indicating that routinely accessible peripheral blood parameters-such as the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and rheological parameters, which so far have been rarely considered for such an application, may be used as non-invasive biomarkers in cancer immunotherapy. Rheological parameters such as whole blood viscosity are influenced by several factors, such as hematocrit, aggregability and deformability of erythrocytes, and plasma viscosity, which is largely dependent on plasma proteins. Especially in cases where the set of symptoms indicates a high probability of hyperviscosity syndrome, blood rheological tests can lead to early diagnosis and treatment. Both biochemical and rheological parameters are prone to become novel and future standards for assessing immunotherapy among patients with solid tumors.

摘要

免疫疗法彻底改变了癌症治疗方式;然而,对于实体瘤患者免疫治疗的预后和预测因素而言,具有成本效益的血液生物标志物仍然有限。由于成本低且易于获取,血液生物标志物应成为优化和监测免疫疗法研究的重要组成部分。目前可在外周血中检测的标志物包括单核细胞总数、髓源性抑制细胞(MDSC)、调节性T细胞(Treg)、相对嗜酸性粒细胞计数、细胞因子水平(如IL-6、IL-8和IL-10)、乳酸脱氢酶(LDH)、C反应蛋白(CRP)、CTLA-4和PD-1或PD-L1的可溶性形式,以及循环肿瘤DNA(ctDNA)。在我们的小型综述中,我们讨论了最新证据,表明常规可获取的外周血参数——如中性粒细胞与淋巴细胞比值(NLR)、淋巴细胞与单核细胞比值(LMR)、血小板与淋巴细胞比值(PLR)以及流变学参数,到目前为止在这种应用中很少被考虑——可能用作癌症免疫治疗中的非侵入性生物标志物。全血粘度等流变学参数受多种因素影响,如红细胞压积、红细胞聚集性和变形性以及血浆粘度,而血浆粘度在很大程度上取决于血浆蛋白。特别是在症状表明高粘滞综合征可能性很大的情况下,血液流变学检测可实现早期诊断和治疗。生化参数和流变学参数都有可能成为评估实体瘤患者免疫治疗的新的未来标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/219c/12190272/5b0e1b5db6bb/cancers-17-02001-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/219c/12190272/7e66f4ce84c6/cancers-17-02001-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/219c/12190272/40201c0ba7da/cancers-17-02001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/219c/12190272/a2c337250f9b/cancers-17-02001-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/219c/12190272/5b0e1b5db6bb/cancers-17-02001-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/219c/12190272/7e66f4ce84c6/cancers-17-02001-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/219c/12190272/40201c0ba7da/cancers-17-02001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/219c/12190272/a2c337250f9b/cancers-17-02001-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/219c/12190272/5b0e1b5db6bb/cancers-17-02001-g004.jpg

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本文引用的文献

[1]
The role of cytokines in shaping the future of Cancer immunotherapy.

Cytokine. 2025-5

[2]
Dual Biomarker Strategies for Liquid Biopsy: Integrating Circulating Tumor Cells and Circulating Tumor DNA for Enhanced Tumor Monitoring.

Biosensors (Basel). 2025-1-28

[3]
Factors Influencing Immunotherapy Outcomes in Cancer: Sarcopenia and Systemic Inflammation.

Cancer Control. 2024

[4]
Flow cytometry analysis of myeloid derived suppressor cells using 6 color labeling.

Methods Cell Biol. 2024

[5]
Prognostic value of inflammatory markers NLR, PLR, LMR, dNLR, ANC in melanoma patients treated with immune checkpoint inhibitors: a meta-analysis and systematic review.

Front Immunol. 2024

[6]
The baseline hemoglobin level is a positive biomarker for immunotherapy response and can improve the predictability of tumor mutation burden for immunotherapy response in cancer.

Front Pharmacol. 2024-10-2

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Biomarkers associated with immune-related adverse events induced by immune checkpoint inhibitors.

World J Clin Oncol. 2024-8-24

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Viscoelastic properties of colorectal liver metastases reflect tumour cell viability.

J Transl Med. 2024-8-16

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Immunotherapy. 2024

[10]
Prognostic value of inflammatory markers NLR, PLR, and LMR in gastric cancer patients treated with immune checkpoint inhibitors: a meta-analysis and systematic review.

Front Immunol. 2024

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