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Zhang Y, Zeng J, Bao S, Zhang B, Li X, Wang H, Cheng Y, Zhang H, Zu L, Xu X, Xu S, Song Z. Cancer progression and tumor hypercoagulability: a platelet perspective. J Thromb Thrombolysis 2024:10.1007/s11239-024-02993-0. [PMID: 38760535 DOI: 10.1007/s11239-024-02993-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/26/2024] [Indexed: 05/19/2024]
Abstract
Venous thromboembolism, which is common in cancer patients and accompanies or even precedes malignant tumors, is known as cancer-related thrombosis and is an important cause of cancer- associated death. At present, the exact etiology of the elevated incidence of venous thrombosis in cancer patients remains elusive. Platelets play a crucial role in blood coagulation, which is intimately linked to the development of arterial thrombosis. Additionally, platelets contribute to tumor progression and facilitate immune evasion by tumors. Tumor cells can interact with the coagulation system through various mechanisms, such as producing hemostatic proteins, activating platelets, and directly adhering to normal cells. The relationship between platelets and malignant tumors is also significant. In this review article, we will explore these connections.
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Affiliation(s)
- Yifan Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Jingtong Zeng
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Shihao Bao
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Bo Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xianjie Li
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Hanqing Wang
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Yuan Cheng
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Hao Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Lingling Zu
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaohong Xu
- Colleges of Nursing, Tianjin Medical University, Tianjin, China
| | - Song Xu
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China.
| | - Zuoqing Song
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China.
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Bukva M, Dobra G, Gyukity-Sebestyen E, Boroczky T, Korsos MM, Meckes DG, Horvath P, Buzas K, Harmati M. Machine learning-based analysis of cancer cell-derived vesicular proteins revealed significant tumor-specificity and predictive potential of extracellular vesicles for cell invasion and proliferation - A meta-analysis. Cell Commun Signal 2023; 21:333. [PMID: 37986165 PMCID: PMC10658864 DOI: 10.1186/s12964-023-01344-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 09/27/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND Although interest in the role of extracellular vesicles (EV) in oncology is growing, not all potential aspects have been investigated. In this meta-analysis, data regarding (i) the EV proteome and (ii) the invasion and proliferation capacity of the NCI-60 tumor cell lines (60 cell lines from nine different tumor types) were analyzed using machine learning methods. METHODS On the basis of the entire proteome or the proteins shared by all EV samples, 60 cell lines were classified into the nine tumor types using multiple logistic regression. Then, utilizing the Least Absolute Shrinkage and Selection Operator, we constructed a discriminative protein panel, upon which the samples were reclassified and pathway analyses were performed. These panels were validated using clinical data (n = 4,665) from Human Protein Atlas. RESULTS Classification models based on the entire proteome, shared proteins, and discriminative protein panel were able to distinguish the nine tumor types with 49.15%, 69.10%, and 91.68% accuracy, respectively. Invasion and proliferation capacity of the 60 cell lines were predicted with R2 = 0.68 and R2 = 0.62 (p < 0.0001). The results of the Reactome pathway analysis of the discriminative protein panel suggest that the molecular content of EVs might be indicative of tumor-specific biological processes. CONCLUSION Integrating in vitro EV proteomic data, cell physiological characteristics, and clinical data of various tumor types illuminates the diagnostic, prognostic, and therapeutic potential of EVs. Video Abstract.
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Affiliation(s)
- Matyas Bukva
- Department of Immunology, Albert Szent-Györgyi Medical School, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Hungary
- Doctoral School of Interdisciplinary Medicine, Albert Szent-Györgyi Medical School, University of Szeged, 6720, Szeged, Hungary
- Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Hungarian Research Network (HUN-REN), Szeged, 6726, Hungary
| | - Gabriella Dobra
- Department of Immunology, Albert Szent-Györgyi Medical School, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Hungary
- Doctoral School of Interdisciplinary Medicine, Albert Szent-Györgyi Medical School, University of Szeged, 6720, Szeged, Hungary
- Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Hungarian Research Network (HUN-REN), Szeged, 6726, Hungary
| | - Edina Gyukity-Sebestyen
- Department of Immunology, Albert Szent-Györgyi Medical School, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Hungary
- Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Hungarian Research Network (HUN-REN), Szeged, 6726, Hungary
| | - Timea Boroczky
- Department of Immunology, Albert Szent-Györgyi Medical School, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Hungary
- Doctoral School of Interdisciplinary Medicine, Albert Szent-Györgyi Medical School, University of Szeged, 6720, Szeged, Hungary
- Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Hungarian Research Network (HUN-REN), Szeged, 6726, Hungary
| | - Marietta Margareta Korsos
- Department of Immunology, Albert Szent-Györgyi Medical School, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Hungary
| | - David G Meckes
- Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL, 32306, USA
| | - Peter Horvath
- Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Hungarian Research Network (HUN-REN), Szeged, 6726, Hungary
| | - Krisztina Buzas
- Department of Immunology, Albert Szent-Györgyi Medical School, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Hungary
- Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Hungarian Research Network (HUN-REN), Szeged, 6726, Hungary
| | - Maria Harmati
- Department of Immunology, Albert Szent-Györgyi Medical School, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Hungary.
- Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Hungarian Research Network (HUN-REN), Szeged, 6726, Hungary.
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Serratì S, Di Fonte R, Porcelli L, De Summa S, De Risi I, Fucci L, Ruggieri E, Marvulli TM, Strippoli S, Fasano R, Rafaschieri T, Guida G, Guida M, Azzariti A. Circulating extracellular vesicles are monitoring biomarkers of anti-PD1 response and enhancer of tumor progression and immunosuppression in metastatic melanoma. J Exp Clin Cancer Res 2023; 42:251. [PMID: 37759291 PMCID: PMC10538246 DOI: 10.1186/s13046-023-02808-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Clinical drawback in checkpoint inhibitors immunotherapy (ICI) of metastatic melanoma (MM) is monitoring clinical benefit. Soluble forms of PD1(sPD1) and PD-L1(sPD-L1) and extracellular vesicles (EVs) expressing PD1 and PD-L1 have recently emerged as predictive biomarkers of response. As factors released in the blood, EVs and soluble forms could be relevant in monitoring treatment efficacy and adaptive resistance to ICI. METHODS We used pre-therapy plasma samples of 110 MM patients and longitudinal samples of 46 patients. Elisa assay and flow cytometry (FCM) were used to measure sPD-L1 and sPD1 concentrations and the percentage of PD1+ EVs and PD-L1+ EVs, released from tumor and immune cells in patients subsets. Transwell assays were conducted to investigate the impact of EVs of each patient subset on MM cells invasion and interaction between tumor cells and macrophages or dendritic cells. Viability assays were performed to assess EVs effect on MM cells and organoids sensitivity to anti-PD1. FCM was used to investigate immunosuppressive markers in EVs and immune cells. RESULTS The concentrations of sPD1 and sPD-L1 in pre-treatment and longitudinal samples did not correlate with anti-PD1 response, instead only tumor-derived PD1+ EVs decreased in long responders while increased during disease progression in responders. Notably, we observed reduction of T cell derived EVs expressing LAG3+ and PD1+ in long responders and their increase in responders experiencing progression. By investigating the impact of EVs on disease progression, we found that those isolated from non-responders and from patients with progression disease accelerated tumor cells invasiveness and migration towards macrophages, while EVs of long responders reduced the metastatic potential of MM cells and neo-angiogenesis. Additionally, the EVs of non-responders and of progression disease patients subset reduced the sensitivity of MM cells and organoids of responder to anti-PD1 and the recruitment of dendritic cells, while the EVs of progression disease subset skewed macrophages to express higher level of PDL-1. CONCLUSION Collectively, we suggest that the detection of tumor-derived PD1 + EVs may represent a useful tool for monitoring the response to anti-PD1 and a role for EVs shed by tumor and immune cells in promoting tumor progression and immune dysfunction.
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Affiliation(s)
- Simona Serratì
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy
| | - Roberta Di Fonte
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy
| | - Letizia Porcelli
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy.
| | - Simona De Summa
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy
| | - Ivana De Risi
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy
| | - Livia Fucci
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy
| | - Eustachio Ruggieri
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy
| | | | - Sabino Strippoli
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy
| | - Rossella Fasano
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy
| | - Tania Rafaschieri
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy
| | - Gabriella Guida
- Department of Basic Medical Sciences Neurosciences and Sense Organs, University of Bari, Piazza G. Cesare, 11, 70124, Bari, Italy
| | - Michele Guida
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy
| | - Amalia Azzariti
- IRCCS Istituto Tumori Giovanni Paolo II, V.Le O. Flacco, 65, 70124, Bari, Italy.
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Vlataki K, Antonouli S, Kalyvioti C, Lampri E, Kamina S, Mauri D, Harissis HV, Magklara A. Circulating Tumor DNA in the Management of Early-Stage Breast Cancer. Cells 2023; 12:1573. [PMID: 37371043 DOI: 10.3390/cells12121573] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 05/24/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open
Abstract
Liquid biopsies refer to the isolation and analysis of tumor-derived biological material from body fluids, most commonly blood, in order to provide clinically valuable information for the management of cancer patients. Their non-invasive nature allows to overcome the limitations of tissue biopsy and complement the latter in guiding therapeutic decision-making. In the past years, several studies have demonstrated that circulating tumor DNA (ctDNA) detection can be used in the clinical setting to improve patient prognosis and monitor therapy response, especially in metastatic cancers. With the advent of significant technological advances in assay development, ctDNA can now be accurately and reliably identified in early-stage cancers despite its low levels in the bloodstream. In this review, we discuss the most important studies that highlight the potential clinical utility of ctDNA in early-stage breast cancer focusing on early diagnosis, detection of minimal residual disease and prediction of metastatic relapse. We also offer a concise description of the most sensitive techniques that are deemed appropriate for ctDNA detection in early-stage cancer and we examine their advantages and disadvantages, as they have been employed in various studies. Finally, we discuss future perspectives on how ctDNA could be better integrated into the everyday oncology practice.
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Affiliation(s)
- Katerina Vlataki
- Department of Clinical Chemistry, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
| | - Sevastiani Antonouli
- Department of Clinical Chemistry, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
| | - Christina Kalyvioti
- Breast Unit, Department of Surgery, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Evangeli Lampri
- Department of Pathology, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Sevasti Kamina
- Department of Pathology, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Davide Mauri
- Department of Medical Oncology, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Haralampos V Harissis
- Breast Unit, Department of Surgery, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Angeliki Magklara
- Department of Clinical Chemistry, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
- Biomedical Research Institute, Foundation for Research and Technology, 45110 Ioannina, Greece
- Institute of Biosciences, University Research Center of Ioannina (URCI), 45110 Ioannina, Greece
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Słomka A, Kornek M, Cho WC. Small Extracellular Vesicles and Their Involvement in Cancer Resistance: An Up-to-Date Review. Cells 2022; 11:2913. [PMID: 36139487 DOI: 10.3390/cells11182913] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/25/2022] [Accepted: 09/15/2022] [Indexed: 12/11/2022] Open
Abstract
In recent years, tremendous progress has been made in understanding the roles of extracellular vesicles (EVs) in cancer. Thanks to advancements in molecular biology, it has been found that the fraction of EVs called exosomes or small EVs (sEVs) modulates the sensitivity of cancer cells to chemotherapeutic agents by delivering molecularly active non-coding RNAs (ncRNAs). An in-depth analysis shows that two main molecular mechanisms are involved in exosomal modified chemoresistance: (1) translational repression of anti-oncogenes by exosomal microRNAs (miRs) and (2) lack of translational repression of oncogenes by sponging of miRs through long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs). At the cellular level, these processes increase the proliferation and survival of cancer cells and improve their ability to metastasize and resist apoptosis. In addition, studies in animal models have shown enhancing tumor size under the influence of exosomal ncRNAs. Ultimately, exosomal ncRNAs are responsible for clinically significant chemotherapy failures in patients with different types of cancer. Preliminary data have also revealed that exosomal ncRNAs can overcome chemotherapeutic agent resistance, but the results are thoroughly fragmented. This review presents how exosomes modulate the response of cancer cells to chemotherapeutic agents. Understanding how exosomes interfere with chemoresistance may become a milestone in developing new therapeutic options, but more data are still required.
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Morris K, Schnoor B, Papa AL. Platelet cancer cell interplay as a new therapeutic target. Biochim Biophys Acta Rev Cancer 2022; 1877:188770. [DOI: 10.1016/j.bbcan.2022.188770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 07/27/2022] [Accepted: 07/27/2022] [Indexed: 10/16/2022]
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