| Literature DB >> 31991775 |
Maria Valeria Catani1, Isabella Savini1, Valentina Tullio1, Valeria Gasperi1.
Abstract
Besides their vital role in hemostasis and thrombosis, platelets are also recognized to be involved in cancer, where they play an unexpected central role: They actively influence cancer cell behavior, but, on the other hand, platelet physiology and phenotype are impacted by tumor cells. The existence of this platelet-cancer loop is supported by a large number of experimental and human studies reporting an association between alterations in platelet number and functions and cancer, often in a way dependent on patient, cancer type and treatment. Herein, we shall report on an update on platelet-cancer relationships, with a particular emphasis on how platelets might exert either a protective or a deleterious action in all steps of cancer progression. To this end, we will describe the impact of (i) platelet count, (ii) bioactive molecules secreted upon platelet activation, and (iii) microvesicle-derived miRNAs on cancer behavior. Potential explanations of conflicting results are also reported: Both intrinsic (heterogeneity in platelet-derived bioactive molecules with either inhibitory or stimulatory properties; features of cancer cell types, such as aggressiveness and/or tumour stage) and extrinsic (heterogeneous characteristics of cancer patients, study design and sample preparation) factors, together with other confounding elements, contribute to "the Janus face" of platelets in cancer. Given the difficulty to establish the univocal role of platelets in a tumor, a better understanding of their exact contribution is warranted, in order to identify an efficient therapeutic strategy for cancer management, as well as for better prevention, screening and risk assessment protocols.Entities:
Keywords: miRNAs; microvesicles; paraneoplastic thrombocytosis and thrombocytopenia; platelet activation; platelet-derived bioactive molecules; platelet-tumor crosstalk
Year: 2020 PMID: 31991775 PMCID: PMC7037171 DOI: 10.3390/ijms21030788
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Main findings on the relationship between high platelet count 1 and cancer.
| Cancer | Study | Platelet Cut-Off | Main Findings | Ref. |
|---|---|---|---|---|
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Retrospective 584 adenocarcinoma patients with or without pre-operative neoadjuvant chemo-radiation therapy 2.4% with high PLT | 450 × 109/L |
Death rates: 50% with normal PLT (median survival time: 76.9 months), 86% with high PLT (median survival time: 23.2 months) No differences in age, gender, tumor T or N stages Median survival time in patients without neoadjuvant therapy: 35.8 months with high PLT, 112 months with normal PLT (HR = 3.02, p = 0.032) Median survival time in patients with neoadjuvant therapy: 16.2 months with high PLT, 52.1 months with normal PLT (HR = 2.31, p = 0.021) | [ |
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Retrospective 374 squamous cell carcinoma patients with non-neoadjuvant therapy 21.1% with high PLT | 293 × 109/L |
PLT increased in patients with large and deep tumors, nodal involvement, and distant metastasis CRP levels increased in patients with high PLT (p = 0.001) Worse survival in patients with high PLT, especially in advanced tumor stage patients | [ | |
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Retrospective 425 squamous cell carcinoma patients subjected to esophagectomy 48.4% with high PLT | 205 × 109/L |
Overall 5-year survival: 60.7% with PLT below cut off value, 31.6% with PLT above cut off value (p < 0.001) 5-year survival with no involvement of nodes: similar rates independent of PLT 5-year survival with involvement of nodes: 32.0% with PLT below cut off value, 12.7% with PLT above cut off value (p = 0.004) | [ | |
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Retrospective 119 squamous cell carcinoma patients subjected to esophagectomy 20.2% with high PLT | 300 × 109/L |
No association between high PLT and disease-free (HR = 0.918, 95% CI = 0.524 − 1.608, p = 0.765) or overall (HR = 1.072, 95% CI = 0.618 − 1.891, p = 0.809) survival | [ | |
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Retrospective 112 patients subjected to esophagectomy 4% with high PLT | 400 × 109/L |
No correlation between PLT and patient survival (p < 0.644) | [ | |
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Retrospective 381 patients (93% squamous cell carcinoma and 7% adenocarcinoma) subjected to esophagectomy 3.4% with high PLT | 400 × 109/L |
Higher PLT in patients with adenocarcinoma (p = 0.003) No correlation between PLT and prognostic factors No correlation among PLT, site and degree of tumor penetration, lymph node involvement, distant metastasis, degree of differentiation, vascular, lymphatic and perineural invasion, presence of multiple cancers | [ | |
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Meta-analysis 6521 patients | 400 × 109/L (seven studies) |
High PLT before surgery and/or chemotherapy associated with poor overall (HR = 1.50, 95% CI = 1.19 − 1.88, p = 0.001), progression-free (HR = 1.33, 95% CI = 1.07 − 1.64, p = 0.010) and recurrence-free (HR = 1.66, 95% CI = 1.20 − 2.28, p = 0.002) survival | [ |
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Retrospective 619 patients 31% with high PLT | 450 × 109/L |
High PLT associated with advanced-stage disease, vascular thromboembolic complications, higher preoperative levels of cancer antigen 125 and shortened survival | [ |
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Retrospective 234 patients with Stage I non-small cell lung cancer | 300 × 109/L |
Correlation among PLT, disease progression (HR = 5.314, 95% CI = 2.750 − 10.269, p < 0.05) and death (HR = 3.139, 95% CI = 1.227 − 8.034, p < 0.05) | [ |
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Meta-analysis 5884 patients 6.9–58.5% with high PLT | 400 × 109/L (6 studies) |
High PLT associated with overall survival (HR = 1.74, 95% CI = 1.39-2.19, p < 0.001), advanced TNM stage (OR = 2.65, 95% CI = 1.77 − 3.97, p = 0.367), smoking history (OR = 2.70, 95% CI = 1.79 − 4.08, p = 0.373) No correlation between high PLT associated and squamous cell carcinoma (OR = 1.54, 95% CI = 0.77 − 3.07, p = 0.017) | [ |
CI: confidence interval; CRP: C-reactive protein; HR: hazard ratio; OR: odds ratio; PLT: platelet count. 1 With respect to the cut-off values set by the authors.
Main platelet-derived proteins involved in cancer.
| Molecule | Main Findings | Role in Cancer | Ref. |
|---|---|---|---|
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| ↑ tumor cell extravasation by promoting cancer cell interaction with platelets and endothelium |
| [ |
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| Clotting cascade activation | [ | |
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| ↑cancer growth and angiogenesis | [ | |
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| ↑ mesenchymal and epithelial cell proliferation | [ | |
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| ↑ vessel development and maturation | [ | |
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| ↑ cancer cell proliferation, survival and invasion | [ | |
| ↓ tumor cell growth and dissemination |
| [ | |
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| ↓ angiogenesis | [ |
Ang-1: angiopoietin-1; EGF: endothelial growth factor; MK: megakaryocytes; NK: natural kill cells; PAI-1: plasminogen activator inhibitor-1; PDGF-BB: Platelet-derived growth factor BB; TF: tumor necrosis factor; TSP-1: thrombospondin-1; VEGF Vascular endothelial growth factor.
Main findings on the cancer-related role of miRNAs, potentially delivered by platelet MVs.
| miRNA | Experimental Settings | Main Findings | Targets | Ref. |
|---|---|---|---|---|
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| Platelet MV delivey to lung A549 cancer cells | ↑ cell invasion | EPB41L3 | [ |
| Transfection of breast MCF-7 and prostate PC-3 cancer cells | ↓ vitality, ↑ effects of the anti-tumor celastrol | NF-κB | [ | |
| Transfection of breast MDA-MB-231 and MCF-7 cancer cells | ↓ migration, ↑ anoikis cell death, ↑ sensitivity to chemotherapy | STAT5A | [ | |
| Transfection of breast MCF-7, SKBR3, MDA-MB-231 and MDA-MB-435 cancer cells | ↑ sensitivity to TRAIL-induced apoptosis | HAX-1 | [ | |
| Transient transfection of primary endothelial cells | ↓ formation of new blood vessels | endothelial β1 integrin | [ | |
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| Platelet MV delivey to ovarian SKOV3 cancer cells | ↑ epithelial to mesenchymal transition | E-cadherin and vimentin | [ |
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| Transfection of small-cell lung H446 cancer cells | resistance to etoposide plus cisplatin therapy | ATG4A | [ |
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| Platelet MV delivey to Lewis lung and colon MC-38 carcinoma cells | ↓ tumor growth, ↑ apoptosis | mt-Nd2 and Snora75 | [ |
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| miRNA microarray in drug-resistant ovarian A2780 carcinoma cells | drug resistance | M-CSF | [ |
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| Transfection of MDR ovarian A2780 and cervical KB-V1 carcinoma cells | MDR1 | [ | |
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| Platelet MV delivey to primary endothelial cells | ↑ endothelial tube formation | thrombospondin-1 | [ |
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| Transfection of breast MDAMB231 and MCF7 cancer cells | ↓ cancer progression | ADAM9 | [ |
| Transfection of breast BT-549 cancer cells | cell cycle arrest, ↓ migration, ↑ sensitivity to cisplatin | ND | [ | |
| Transfection of lung A549, Y-90 and SPC-A1 carcinoma cells | ↑ proliferation | VEGF | [ |
ND: not determined. ADAM9: ADAM Metallopeptidase Domain 9; ATG4A: autophagy-associated gene 4A; CM: conditioned medium; EPB41L3: Erythrocyte Membrane Protein Band 4.1 Like 3; HAX-1: HS-1-associated protein X-1; β; M-CSF: macrophage colony-stimulating factor; MDR1: multidrug resistance gene; MEF: mouse embryonic fibroblasts; mt-Nd2: Mitochondrial NADH dehydrogenase 2; MV: microvesicle; NF-κB: nuclear factor-κB; Snora75: Small Nucleolar RNA, H/ACA Box 75; STAT5A: signal transducer and activator of transcription 5A; TRAIL: TNF-related apoptosis-inducing ligand; VEGF: vascular endothelial growth factor.
Figure 1Schematic representation of the main platelet effects on tumor biology. See text for details. In black: platelet-derived bioactive molecules with positive effects. In blue: platelet-derived compounds with negative effects. In red: platelet-derived compounds with both positive and negative effects. Lines with dot indicate either stimulation or inhibition, depending on the platelet-derived bioactive molecule. 12/15 HETEs: 12 and 15 hydroxyeicosatraenoic acid; Ang-1: Angiopoietin; LPA: lysophosphatidic acid; EGF: Endothelial Growth Factor; P-sel: P-selectin; PDGF: Platelet-Derived Growth Factor; TGF-β: tumor growth factor-β; VEGF: vascular endothelial growth factor.