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Zhang M, Li YP, He N, Dang SS. Platelets in liver cancer. Shijie Huaren Xiaohua Zazhi 2024; 32:735-741. [DOI: 10.11569/wcjd.v32.i10.735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 09/04/2024] [Accepted: 09/19/2024] [Indexed: 10/28/2024] Open
Abstract
Platelets are an important component of blood. In addition to the key role in the process of hemostasis and coagulation, platelets also have an important role in the occurrence and development of a variety of tumors. Primary liver cancer is one of the most common malignant tumors in the world. Because its development process usually follows the hepatitis-cirrhosis-liver cancer sequence, it is often accompanied by platelet changes. Research on platelets and the development of liver cancer has obtained much new evidence that activated platelets can promote the occurrence and development of liver cancer through direct contact or indirect contact. Therapeutic strategies targeting platelets have the potential to reduce the occurrence and progression of tumors. This article summarizes the research on platelets in liver cancer.
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Affiliation(s)
- Meng Zhang
- Department of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 71004, Shaanxi Province, China
| | - Ya-Ping Li
- Department of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 71004, Shaanxi Province, China
| | - Na He
- Department of Gastroenterology, First Affiliated Hospital of Xi'an Medical College, Xi'an 710077, Shaanxi Province, China
| | - Shuang-Suo Dang
- Department of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 71004, Shaanxi Province, China
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2
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Miao S, Zhang Q, Ding W, Hou B, Su Z, Li M, Yang L, Zhang J, Chang W, Wang J. Platelet Internalization Mediates Ferroptosis in Myocardial Infarction. Arterioscler Thromb Vasc Biol 2023; 43:218-230. [PMID: 36353991 DOI: 10.1161/atvbaha.122.318161] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND Myocardial cell death is the hallmark of myocardial infarction. In the process of myocardial injury, platelets contribute to the pathogenesis by triggering intense inflammatory responses. Yet, it is still unclear if platelets regulate cardiomyocyte death directly, thereby exacerbating myocardial injury in myocardial infarction. METHODS We describe a mechanism underlying the correlative association between platelets accumulation and myocardial cell death by using myocardial infarction mouse model and patient specimens. RESULTS Myocardial infarction induces platelets internalization, resulting in the release of miR-223-3p, a platelet-enriched miRNA. By targeting the ACSL3, miR-223-3p delivered by internalized platelets cause the reduction of stearic acid-phosphatidylcholine in cardiomyocytes. The presence of stearic acid-phosphatidylcholine protects cardiomyocytes against ferroptosis. CONCLUSIONS Our work reveals a novel mechanism of platelet-mediated myocardial injury, highlighting antiplatelet therapies could potentially represent a multimechanism treatment of myocardial infarction, and implying ferroptosis being considered as novel target for therapeutics.
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Affiliation(s)
- Shuo Miao
- School of Basic Medicine, Qingdao University, China (S.M., M.L., L.Y., J.Z., J.W.)
| | - Qingsong Zhang
- Affiliated Hospital of Qingdao University, China (Q.Z., W.D., B.H., Z.S.)
| | - Wei Ding
- Affiliated Hospital of Qingdao University, China (Q.Z., W.D., B.H., Z.S.)
| | - Bo Hou
- Affiliated Hospital of Qingdao University, China (Q.Z., W.D., B.H., Z.S.)
| | - Zhe Su
- Affiliated Hospital of Qingdao University, China (Q.Z., W.D., B.H., Z.S.)
| | - Mengyang Li
- School of Basic Medicine, Qingdao University, China (S.M., M.L., L.Y., J.Z., J.W.)
| | - Lanting Yang
- School of Basic Medicine, Qingdao University, China (S.M., M.L., L.Y., J.Z., J.W.)
| | - Jun Zhang
- School of Basic Medicine, Qingdao University, China (S.M., M.L., L.Y., J.Z., J.W.)
| | - Wenguang Chang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, China (W.C.)
| | - Jianxun Wang
- School of Basic Medicine, Qingdao University, China (S.M., M.L., L.Y., J.Z., J.W.)
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Mu J, Wu Y, Jiang C, Cai L, Li D, Cao J. Progress in Applicability of Scoring Systems Based on Nutritional and Inflammatory Parameters for Ovarian Cancer. Front Nutr 2022; 9:809091. [PMID: 35464000 PMCID: PMC9024308 DOI: 10.3389/fnut.2022.809091] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 03/10/2022] [Indexed: 01/04/2023] Open
Abstract
Ovarian cancer is a malignancy that seriously endangers women’s health; its case fatality rate ranks first among the gynecological malignancies. The status of nutrition of ovarian cancer patients is related to their prognoses. Thus, it is important to evaluate, monitor, and improve the nutritional status of ovarian cancer patients during their treatment. Currently, there are several tools for examining malnutrition and nutritional assessment, including NRI (nutrition risk index), PG-SGA (patient-generated subjective global assessment), and NRS 2002 (nutritional risk screening 2002). In addition to malnutrition risk examination and related assessment tools, the evaluation of muscle mass, C-reactive protein, lymphocytes, and other inflammation status indicators, such as neutrophils to lymphocytes ratio, lymphocyte-to-monocyte ratio, and C-reactive protein-albumin ratio, is of great importance. The nutritional status of ovarian cancer patients undergoing surgery affects their postoperative complications and survival rates. Accurate evaluation of perioperative nutrition in ovarian cancer patients is crucial in clinical settings. An intelligent nutritional diagnosis can be developed based on the results of its systematic and comprehensive assessment, which would lay a foundation for the implementation of personalized and precise nutritional therapy.
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Affiliation(s)
- Juan Mu
- Department of Nutrition, Nanjing Maternity and Child Health Care Hospital, Women’s Hospital of Nanjing Medical University, Nanjing, China
| | - Yue Wu
- Department of Gynecology, Nanjing Maternity and Child Health Care Hospital, Women’s Hospital of Nanjing Medical University, Nanjing, China
| | - Chen Jiang
- Department of Gynecology, Nanjing Maternity and Child Health Care Hospital, Women’s Hospital of Nanjing Medical University, Nanjing, China
| | - Linjuan Cai
- Department of Gynecology, Nanjing Maternity and Child Health Care Hospital, Women’s Hospital of Nanjing Medical University, Nanjing, China
| | - Dake Li
- Department of Gynecology, Nanjing Maternity and Child Health Care Hospital, Women’s Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Dake Li,
| | - Jian Cao
- Department of Gynecology, Nanjing Maternity and Child Health Care Hospital, Women’s Hospital of Nanjing Medical University, Nanjing, China
- Jian Cao,
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Miao S, Lu M, Liu Y, Shu D, Zhu Y, Song W, Ma Y, Ma R, Zhang B, Fang C, Ming ZY. Platelets are recruited to hepatocellular carcinoma tissues in a CX3CL1-CX3CR1 dependent manner and induce tumour cell apoptosis. Mol Oncol 2020; 14:2546-2559. [PMID: 32799418 PMCID: PMC7530782 DOI: 10.1002/1878-0261.12783] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 06/18/2020] [Accepted: 08/13/2020] [Indexed: 12/22/2022] Open
Abstract
The mechanisms and biological functions of migrating platelets in cancer remain largely unknown. Here, we analyzed platelet infiltration in hepatocellular carcinoma. We detected platelet extravasation in both mouse and human HCC tissues. CX3CL1 directly induced platelet migration, and hypoxia enhanced platelet migration by upregulating CX3CL1 expression. Knocking down CX3CL1 in HCC cells reduced platelet migration in vitro, as well as infiltration of HCC tissue in an orthotopic HCC mouse model. Components of the CX3CR1/Syk/PI3K pathway were essential for CX3CL1‐induced platelet migration. Migrating platelets induced HCC cell apoptosis in vitro, as indicated by a reduced mitochondrial membrane potential and an increased percentage of apoptotic cells. In the orthotopic tumor implantation model, decreased platelet infiltration was associated with accelerated tumor growth. Taken together, our findings indicate that HCC cell‐derived CX3CL1 contributes to tumor infiltration by platelets, which in turn promotes apoptosis of HCC cells.
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Affiliation(s)
- Shuo Miao
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.,School of Basic Medicine, Qingdao University, Qingdao, China.,The Key Laboratory for Drug Target Research and Pharmacodynamic Evaluation of Hubei Province, Wuhan, China
| | - Meng Lu
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.,The Key Laboratory for Drug Target Research and Pharmacodynamic Evaluation of Hubei Province, Wuhan, China
| | - Yue Liu
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.,The Key Laboratory for Drug Target Research and Pharmacodynamic Evaluation of Hubei Province, Wuhan, China
| | - Dan Shu
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.,The Key Laboratory for Drug Target Research and Pharmacodynamic Evaluation of Hubei Province, Wuhan, China
| | - Ying Zhu
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.,The Key Laboratory for Drug Target Research and Pharmacodynamic Evaluation of Hubei Province, Wuhan, China
| | - Wei Song
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.,Department of Pharmacy, Renmin Hospital, Wuhan University, Wuhan, China
| | - Yuanyuan Ma
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.,Pharmacy Department, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rong Ma
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.,The Key Laboratory for Drug Target Research and Pharmacodynamic Evaluation of Hubei Province, Wuhan, China
| | - Bixiang Zhang
- Department of Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chao Fang
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.,The Key Laboratory for Drug Target Research and Pharmacodynamic Evaluation of Hubei Province, Wuhan, China
| | - Zhang-Yin Ming
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.,The Key Laboratory for Drug Target Research and Pharmacodynamic Evaluation of Hubei Province, Wuhan, China.,Tongji-Rongcheng Center for Biomedicine, Huazhong University of Science and Technology, Wuhan, China
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5
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Yang W, Chen Y, Bi C, Shu K, Ye M, Li F, Chen J, Wang X, Chen X, Jiang M. Predictive and prognostic values of preoperative platelet parameters in patients with gynecological tumors. J Clin Lab Anal 2020; 34:e23295. [PMID: 32170805 PMCID: PMC7370708 DOI: 10.1002/jcla.23295] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 01/17/2020] [Accepted: 02/02/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Platelets play a role in tumor cell growth, metastasis, and angiogenesis, and the present study aimed to evaluate diagnostic and prognostic values of platelet parameters in patients with gynecological tumors. METHODS A total of 1062 women were included. Differences of platelet parameters (platelet count [PLT], plateletcrit [PCT], mean platelet volume [MPV], platelet-large cell rate [P-LCR], and platelet distribution width [PDW]) between different categories were analyzed by nonparametric test. The optimal cutoff value was calculated with receiver operating characteristic analysis. Overall survivals were analyzed with Kaplan-Meier method and log-rank tests for univariate analysis. RESULTS Platelet count and PCT were significantly increased, and MPV and P-LCR were significantly reduced in malign and benign gynecological tumor groups compared with the controls (P < .001); PDW had no significant differences. There were no significant differences in PLT, PCT, MPV, P-LCR, and PDW between different tumor locations and pathologic types. The optimal cutoff values of PLT, PCT, MPV and P-LCR were 274, 0.26, 10.08, and 24.8 (AUC: 0.661, 0.643, 0.593, 0.562), and PCT had preferable sensibility and specificity (50.84% and 70.42%) in predicting the presence of gynecological tumors. According to survival analysis, increased PLT (≥274 × 109 /L) and PCT (≥0.26), and induced MPV (<10.08 fL) and P-LCR (<24.8%) were associated with shorter overall survival. CONCLUSIONS Platelet count, PCT, MPV, and P-LCR can be used as preferable auxiliary parameters for predicting the presence of gynecological tumors. Increased PLT and PCT, or decreased MPV and P-LCR indicated a heavier tumor burden and shorter overall survival.
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Affiliation(s)
- Wei Yang
- The Center of Laboratory MedicineThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Ying‐ying Chen
- The Center of Laboratory MedicineThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Chen Bi
- The Center of Laboratory MedicineThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Kuang‐yi Shu
- The Center of Laboratory MedicineThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Man‐li Ye
- The Center of Laboratory MedicineThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Fan‐fan Li
- The Center of Laboratory MedicineThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Jie Chen
- The Center of Laboratory MedicineThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Xiao‐ou Wang
- The Center of Laboratory MedicineThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Xiao‐jian Chen
- The Center of Laboratory MedicineThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Ming‐hua Jiang
- The Center of Laboratory MedicineThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
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6
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Cai C, Cooper GF, Lu KN, Ma X, Xu S, Zhao Z, Chen X, Xue Y, Lee AV, Clark N, Chen V, Lu S, Chen L, Yu L, Hochheiser HS, Jiang X, Wang QJ, Lu X. Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. PLoS Comput Biol 2019; 15:e1007088. [PMID: 31276486 PMCID: PMC6650088 DOI: 10.1371/journal.pcbi.1007088] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 07/23/2019] [Accepted: 05/09/2019] [Indexed: 02/07/2023] Open
Abstract
Cancer is mainly caused by somatic genome alterations (SGAs). Precision oncology involves identifying and targeting tumor-specific aberrations resulting from causative SGAs. We developed a novel tumor-specific computational framework that finds the likely causative SGAs in an individual tumor and estimates their impact on oncogenic processes, which suggests the disease mechanisms that are acting in that tumor. This information can be used to guide precision oncology. We report a tumor-specific causal inference (TCI) framework, which estimates causative SGAs by modeling causal relationships between SGAs and molecular phenotypes (e.g., transcriptomic, proteomic, or metabolomic changes) within an individual tumor. We applied the TCI algorithm to tumors from The Cancer Genome Atlas (TCGA) and estimated for each tumor the SGAs that causally regulate the differentially expressed genes (DEGs) in that tumor. Overall, TCI identified 634 SGAs that are predicted to cause cancer-related DEGs in a significant number of tumors, including most of the previously known drivers and many novel candidate cancer drivers. The inferred causal relationships are statistically robust and biologically sensible, and multiple lines of experimental evidence support the predicted functional impact of both the well-known and the novel candidate drivers that are predicted by TCI. TCI provides a unified framework that integrates multiple types of SGAs and molecular phenotypes to estimate which genome perturbations are causally influencing one or more molecular/cellular phenotypes in an individual tumor. By identifying major candidate drivers and revealing their functional impact in an individual tumor, TCI sheds light on the disease mechanisms of that tumor, which can serve to advance our basic knowledge of cancer biology and to support precision oncology that provides tailored treatment of individual tumors.
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Affiliation(s)
- Chunhui Cai
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Gregory F. Cooper
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Kevin N. Lu
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Xiaojun Ma
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Shuping Xu
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Zhenlong Zhao
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Xueer Chen
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Yifan Xue
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Adrian V. Lee
- Center for Causal Discovery, Pittsburgh, PA, United States of America
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, United States of America
- Magee Women’s Cancer Research Center, Pittsburgh, PA, United States of America
- UPMC Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, United States of America
| | - Nathan Clark
- Center for Causal Discovery, Pittsburgh, PA, United States of America
- Department of Computational Biology and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Vicky Chen
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Songjian Lu
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Lujia Chen
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Liyue Yu
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Harry S. Hochheiser
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Xia Jiang
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
| | - Q. Jane Wang
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, United States of America
- * E-mail: (QJW); (XL)
| | - Xinghua Lu
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
- Center for Causal Discovery, Pittsburgh, PA, United States of America
- UPMC Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, United States of America
- * E-mail: (QJW); (XL)
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Use of Chinese Herbal Medicine Improves Chemotherapy-Induced Thrombocytopenia among Gynecological Cancer Patients: An Observational Study. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2018; 2018:4201325. [PMID: 30174705 PMCID: PMC6106719 DOI: 10.1155/2018/4201325] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 06/04/2018] [Accepted: 06/10/2018] [Indexed: 11/18/2022]
Abstract
Background Chemotherapy-induced thrombocytopenia (CIT) is a serious complication among patients with gynecological malignancies, yet management options are limited. This study aimed at reporting the potential of the Chang Gung platelet elevating formula (CGPEF), a prescription with a fixed proportion of Chinese herbs, for improving CIT among gynecologic cancer patients. Materials From 1/1/2007 to 31/12/2009, a total of 23 patients with two consecutive CIT episodes (≤ 100×103 /μL) (last cycle: C0; index cycle: C1) received the CGPEF from the nadir of platelet count of C1 and through the subsequent chemotherapy cycles (C2 and beyond). The CGPEF was taken orally four times a day. The evolution of platelet counts of 18 patients after administration of CGPEF was analyzed (2 patients had different chemotherapy regimens after CGPEF, two patients discontinued CGPEF due to the flavor and the amount of CGPEF, and one patient had no further chemotherapy). Results Most of the patients had recurrent ovarian cancer (11/18, 61%) with a median of 2.5 previous chemotherapy regimens, and carboplatin-based regimens were the most commonly used for these patients (13/18, 72%). The trend of successive CIT could be reversed after taking CGPEF. Also, the platelet nadir was higher after CGPEF treatment (16.5×103/μL versus 32×103/μL, before and after CGPEF treatment, resp., p = 0.002). Moreover, the chemotherapy interval decreased from 30.5 days to 24 days. No thrombocytosis, clinical bleeding, thromboembolism, or other adverse events were found among these patients. Conclusions The CGPEF is worthy of further large-scale, well-designed clinical trials for CIT among gynecological cancer patients.
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Diamantopoulos MA, Tsiakanikas P, Scorilas A. Non-coding RNAs: the riddle of the transcriptome and their perspectives in cancer. ANNALS OF TRANSLATIONAL MEDICINE 2018; 6:241. [PMID: 30069443 DOI: 10.21037/atm.2018.06.10] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Non-coding RNAs (ncRNAs) constitute a heterogeneous group of RNA molecules in terms of biogenesis, biological function as well as length and structure. These biological molecules have gained attention recently as a potentially crucial layer of tumor cell progression or regulation. ncRNAs are expressed in a broad spectrum of tumors, and they play an important role not only in maintaining but also in promoting cancer development and progression. Recent discoveries have revealed that ncRNAs may act as key signal transduction mediators in tumor signaling pathways by interacting with RNA or proteins. These results reinforce the hypothesis, that ncRNAs constitute therapeutic targets, and point out their clinical potential as stratification markers. The major purpose of this review is to mention the emergence of the importance of ncRNAs, as molecules which are correlated with cancer, and to discuss their clinical implicit as prognostic diagnostic indicators, biomarkers, and therapeutic targets.
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Affiliation(s)
- Marios A Diamantopoulos
- Department of Biochemistry and Molecular Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Tsiakanikas
- Department of Biochemistry and Molecular Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, National and Kapodistrian University of Athens, Athens, Greece
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9
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Lin C, Yang L. Long Noncoding RNA in Cancer: Wiring Signaling Circuitry. Trends Cell Biol 2018; 28:287-301. [PMID: 29274663 PMCID: PMC5869122 DOI: 10.1016/j.tcb.2017.11.008] [Citation(s) in RCA: 394] [Impact Index Per Article: 65.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Revised: 11/27/2017] [Accepted: 11/28/2017] [Indexed: 12/18/2022]
Abstract
Long noncoding RNAs (lncRNAs), which are encoded by a vast less explored region of the human genome, may hold missing drivers of cancer and have gained attention recently as a potentially crucial layer of cancer cell regulation. lncRNAs are aberrantly expressed in a broad spectrum of cancers, and they play key roles in promoting and maintaining tumor initiation and progression, demonstrating their clinical potential as biomarkers and therapeutic targets. Recent discoveries have revealed that lncRNAs act as key signal transduction mediators in cancer signaling pathways by interacting with proteins, RNA, and lipids. Here, we review the mechanisms by which lncRNAs regulate cellular responses to extracellular signals and discuss their clinical potential as diagnostic indicators, stratification markers, and therapeutic targets of combinatorial treatments.
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Affiliation(s)
- Chunru Lin
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; The Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Liuqing Yang
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; The Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for RNA Interference and Non-Coding RNAs, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
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10
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Is There Any Difference in Platelets Indices Between Benign and Malignant Epithelial Tumors of the Ovary? INDIAN JOURNAL OF GYNECOLOGIC ONCOLOGY 2017. [DOI: 10.1007/s40944-017-0149-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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11
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Boonyawan K, Hess KR, Yang J, Long L, Wang Q, Ezhilarasan R, Auia A, Alfaro-Munoz KD, de Groot JF, Bhat KP, Sulman EP. A relative increase in circulating platelets following chemoradiation predicts for poor survival of patients with glioblastoma. Oncotarget 2017; 8:90488-90495. [PMID: 29163847 PMCID: PMC5685768 DOI: 10.18632/oncotarget.21799] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Accepted: 08/07/2017] [Indexed: 11/25/2022] Open
Abstract
Background Thrombocytosis is triggered by and promotes tumor growth. The relationship between the change in circulating platelets after chemoradiation therapy (CRT) or adjuvant temozolomide (TMZ) and survival in glioblastoma remains unclear. We hypothesized that an increase in platelets after these treatments would be predictive of a shorter survival. Methods We retrospectively reviewed data on 122 patients with newly diagnosed, pathologically proven glioblastoma who had been treated with surgery, followed by CRT and adjuvant TMZ, from 2007 to 2016. The association between the changes in blood count levels and survival was analyzed by the log-rank test. To adjust for confounding, we performed a multivariate analysis using known prognostic co-variates. Results Patients were dichotomized on the basis of the relative change in platelets after CRT from the baseline: ≤30% increase, low (n = 101) vs >30% increase, high (n = 12). The median survival for high vs. low platelets were 11 vs 28 months (p = 0.0062). No significant survival differences were observed on the basis of platelet changes during adjuvant TMZ. Similarly, changes in lymphocyte counts were not significantly prognostic. On multivariate analysis, MGMT, performance status, and an increase in platelets after CRT were significantly associated with survival (HR for platelets, 4.5; 95% confidence interval, 1.6-12.6). Conclusions Increased platelet counts after CRT are predictive of poor survival in glioblastoma. The effect is platelet specific and does not reflect bone marrow changes, as lymphocyte changes were not significantly prognostic. These results suggest an interaction between platelets and tumor aggressiveness. Thus, platelets serve as a novel, minimally invasive liquid biopsy for predicting outcome.
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Affiliation(s)
- Keeratikarn Boonyawan
- Department of Radiation Oncology, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Kenneth R Hess
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jie Yang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Lihong Long
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Qianghu Wang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ravesanker Ezhilarasan
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Alessandra Auia
- Department of Translational Molecular Pathology and Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Kristin D Alfaro-Munoz
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - John F de Groot
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Krishna P Bhat
- Department of Translational Molecular Pathology and Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Erik P Sulman
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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Cai D, Wu X, Hong T, Mao Y, Ge X, Hua D. CD61+ and CAF+ were found to be good prognosis factors for invasive breast cancer patients. Pathol Res Pract 2017; 213:1296-1301. [PMID: 28935175 DOI: 10.1016/j.prp.2017.06.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 06/01/2017] [Accepted: 06/24/2017] [Indexed: 11/18/2022]
Abstract
BACKGROUND During the epithelial tumor development process, changes in tumor cell genes are an important driving factor for tumorigenesis. Recently, however, studies have shown that the tumor microenvironment, especially for cancer-associated fibroblasts (CAFs) and the infiltration of platelets into tumors, plays an essential role in the progression of human malignant disease. METHODS In this study, we investigated the presence and prognostic role of podoplanin-expressing CAFs (CAF+), the infiltration of platelets into tumors (CD61+) and platelet count before surgery in a large sample of patients with breast cancer. Podoplanin expression and platelet infiltration were evaluated by immunohistochemistry in 164 patients with breast cancer. RESULTS Seventy-two patients (44%) showed CAF+, while fifty-seven patients (35%) showed CD61+. Several strong positive correlations were found, including CD61+ with blood platelet count before surgery (P=0.004), and CAF+ with CD61+ (P=0.048). Patients with CAF+, CD61+ or platelet count >280×109/L before surgery had a significantly shorter disease-free survival according to univariate analysis. Multivariable analysis showed that CAF+ was an independent prognostic factor (Hazard ratio=3.928; p=0.005). CONCLUSIONS CAF+ and CD61+ were found to be good negative prognosis factors for invasive breast cancer patients. CD61+ also had strong positive correlation with blood platelet count before surgery. These targets may be used as strategies for the treatment of breast cancer in the future.
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Affiliation(s)
- Dongyan Cai
- Department of Oncology, The Fourth People's Hospital of Wuxi, No. 200, Huihe road, Wuxi 214062, China
| | - Xiaohong Wu
- Department of Oncology, The Fourth People's Hospital of Wuxi, No. 200, Huihe road, Wuxi 214062, China
| | - Tingting Hong
- Department of Oncology, The Fourth People's Hospital of Wuxi, No. 200, Huihe road, Wuxi 214062, China
| | - Yong Mao
- Department of Oncology, The Fourth People's Hospital of Wuxi, No. 200, Huihe road, Wuxi 214062, China
| | - Xiaosong Ge
- Department of Oncology, The Fourth People's Hospital of Wuxi, No. 200, Huihe road, Wuxi 214062, China
| | - Dong Hua
- Department of Oncology, The Fourth People's Hospital of Wuxi, No. 200, Huihe road, Wuxi 214062, China.
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13
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Thrombopoietin Secretion by Human Ovarian Cancer Cells. Int J Cell Biol 2017; 2017:1873834. [PMID: 28465688 PMCID: PMC5390644 DOI: 10.1155/2017/1873834] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 01/23/2017] [Accepted: 02/14/2017] [Indexed: 11/18/2022] Open
Abstract
The thrombopoietin (TPO) gene expression in human ovary and cancer cells from patients with ovarian carcinomatosis, as well as several cancer cell lines including MDA-MB231 (breast cancer), K562 and HL60 (Leukemic cells), OVCAR-3NIH and SKOV-3 (ovarian cancer), was performed using RT PCR, real-time PCR, and gene sequencing. Human liver tissues are used as controls. The presence of TPO in the cells and its regulation by activated protein C were explored by flow cytometry. TPO content of cell extract as well as plasma of a patient with ovarian cancer was evaluated by ELISA. The functionality of TPO was performed in coculture on the basis of the viability of a TPO-dependent cell line (Ba/F3), MTT assay, and Annexin-V labeling. As in liver, ovarian tissues and all cancer cells lines except the MDA-MB231 express the three TPO-1 (full length TPO), TPO-2 (12 bp deletion), and TPO-3 (116 pb deletion) variants. Primary ovarian cancer cells as well as cancer cell lines produce TPO. The thrombopoietin production by OVCAR-3 increased when cells are stimulated by aPC. OVCAR-3 cell's supernatant can replace exogenous TPO and inhibited TPO-dependent cell line (Ba/F3) apoptosis. The thrombopoietin produced by tumor may have a direct effect on thrombocytosis/thrombosis occurrence in patients with ovarian cancer.
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Hao J, Zhu C, Cao R, Yang X, Ding X, Man Y, Wu X. [Purple-bluish tongue is associated with platelet counts, and the recurrence of epithelial ovarian cancer]. J TRADIT CHIN MED 2016; 36:321-5. [PMID: 27468546 DOI: 10.1016/s0254-6272(16)30044-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To evaluate the relationship between purple-bluish tongue and platelet counts, and further to examine their associations with the recurrence of epithelial ovarian cancer. METHODS A total of 82 epithelial ovarian cancer patients were enrolled in this study. Cluster analysis was used for grouping patients' P(RGB) (Red-R; Green-G; Blue-B; Average percentage of RGB, P(RGB)) values. Receiver operating characteristic (ROC) curve was performed for detecting the diagnostic standard of purple-bluish tongue. Χ2 test was used to assess the relationship between purple-bluish tongue and platelet counts, and the recurrence of epithelial ovarian cancer. The perioperative (preoperative) platelet level was examined with tongue image and disease recurrence. RESULTS Tongue images were classified into two groups basing on P(RGB) values of images by cluster analysis. The numbers of cases in cluster "1" (normal color tongue) was 16 and cluster "2" (purple-bluish tongue) was 66. Two groups of P(RGB) values, classified by cluster analysis, were significantly correlated with vision-based tongue color recognition (Kappa = 0.852, P < 0.001). ROC curve showed that the ratio of P(B) to P(R) had the highest diagnostic value. The sensitivity and the specificity of the ratio of P(B) to P(R) were 95.3% and 88.9% respectively and the optimal cut-off point was 0.71. Purple-bluish tongue was significantly correlated with increased platelet counts (P < 0.001). Both the increased platelet counts (P = 0.01) and purple-bluish tongue were associated with recurrence of epithelial ovarian cancer (P < 0.001). CONCLUSION The ratio of P(B) to P(R) greater than 0.71 could serve as an indicator for purple-bluish tongue diagnosing used in symptom pattern identification in Traditional Chinese Medicine. Purple-bluish tongue, associated with increased platelet counts, was also closely correlated with the recurrence of epithelial ovarian cancer.
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