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Guo Y, Li RC, Xia WL, Yang X, Zhu WB, Li FT, Hu HT, Li HL. Immune effect and prognosis of transcatheter arterial chemoembolization and tyrosine kinase inhibitors therapy in patients with hepatocellular carcinoma. World J Gastrointest Oncol 2024; 16:3256-3269. [PMID: 39072154 PMCID: PMC11271774 DOI: 10.4251/wjgo.v16.i7.3256] [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: 03/06/2024] [Revised: 05/03/2024] [Accepted: 05/17/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND The combination of transcatheter arterial chemoembolization (TACE) and tyrosine kinase inhibitors (TKIs) has shown broad prospects in prolonging the survival of patients with hepatocellular carcinoma (HCC). TACE and TKIs can affect the immune microenvironment in patients with HCC. AIM To determine the overall effects and differences between TACE and different TKIs combinations on the immune microenvironment. METHODS Data and immune cell profile test results from 213 HCC patients treated with TACE combined with apatinib, lenvatinib, sorafenib, or donafenib before and after 3 wk of treatment were collected. Monocytes were co-cultured with LM3 liver cancer cells, and their ability to inhibit cancer cell growth was analyzed using the MTT method and a nude mouse subcutaneous tumorigenesis experiment. Simulated combined therapy was done using an in situ liver cancer C57BL/6 male mouse model, and the immune response of tumor tissues was analyzed using immunohistochemistry. RESULTS Compared to before combination therapy, the proportion of programmed cell death protein 1 (PD-1)+ mononuclear cells and the number of CD4+ T cells decreased in the TACE + apatinib group, while the number of absolute count of CD4+ and CD8+ T cells increased in the TACE + lenvatinib group. Furthermore, the number of regulatory cells decreased in the TACE + donafenib group, whereas the number of CD8+ T and natural killer cells increased. Additionally, monocytes in the TACE combined with donafenib or lenvatinib groups had a stronger ability to inhibit cancer cell growth than those in the other groups. Combining TACE with donafenib or lenvatinib increased CD8+ T cell infiltration into the tumor tissue. In addition, the proportion of PD-1+ in CD8+ cells, absolute CD8+ T lymphocyte count, and regulatory T cells proportion were independent prognostic factors affecting the survival time of patients with HCC. CONCLUSION TACE, in combination with different TKIs, produces different immune responses. Specifically, TACE combined with donafenib or lenvatinib may induce strong anti-tumor immune responses.
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Affiliation(s)
- Yuan Guo
- Department of Minimal Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450003, Henan Province, China
| | - Ru-Chun Li
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450003, Henan Province, China
| | - Wei-Li Xia
- Department of Minimal Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450003, Henan Province, China
| | - Xiong Yang
- Department of Minimal Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450003, Henan Province, China
| | - Wen-Bo Zhu
- Department of Minimal Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450003, Henan Province, China
| | - Fang-Ting Li
- Department of Minimal Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450003, Henan Province, China
| | - Hong-Tao Hu
- Department of Minimal Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450003, Henan Province, China
| | - Hai-Liang Li
- Department of Minimal Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450003, Henan Province, China
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Sung SE, Lim JH, Kang KK, Choi JH, Lee S, Sung M, Park WT, Kim YI, Seo MS, Lee GW. Proteomic profiling of extracellular vesicles derived from human serum for the discovery of biomarkers in Avascular necrosis. Clin Proteomics 2024; 21:39. [PMID: 38825675 PMCID: PMC11145856 DOI: 10.1186/s12014-024-09489-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 05/21/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND Avascular necrosis (AVN) is a medical condition characterized by the destruction of bone tissue due to a diminished blood supply. When the rate of tissue destruction surpasses the rate of regeneration, effective treatment becomes challenging, leading to escalating pain, arthritis, and bone fragility as the disease advances. A timely diagnosis is imperative to prevent and initiate proactive treatment for osteonecrosis. We explored the potential of differentially expressed proteins in serum-derived extracellular vesicles (EVs) as biomarkers for AVN of the femoral head in humans. We analyzed the genetic material contained in serum-derived exosomes from patients for early diagnosis, treatment, and prognosis of avascular necrosis. METHODS EVs were isolated from the serum of both patients with AVN and a control group of healthy individuals. Proteomic analyses were conducted to compare the expression patterns of these proteins by proteomic analysis using LC-MS/MS. RESULTS Our results show that the levels of IGHV3-23, FN1, VWF, FGB, PRG4, FCGBP, and ZSWIM9 were upregulated in the EVs of patients with AVN compared with those of healthy controls. ELISA results showed that VWF and PRG4 were significantly upregulated in the patients with AVN. CONCLUSIONS These findings suggest that these EV proteins could serve as promising biomarkers for the early detection and diagnosis of AVN. Early diagnosis is paramount for effective treatment, and the identification of new osteonecrosis biomarkers is essential to facilitate swift diagnosis and proactive intervention. Our study provides novel insights into the identification of AVN-related biomarkers that can enhance clinical management and treatment outcomes.
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Affiliation(s)
- Soo-Eun Sung
- Preclinical Research Center, Daegu-Gyeongbuk Medical Innovation Foundation (K-MEDI hub), Daegu, 41061, Republic of Korea
| | - Ju-Hyeon Lim
- Korea Biome Research Lab, Kolmar Korea Holdings, 61Heolleungro 8-gil, Seoul, 06800, Republic of Korea
| | - Kyung-Ku Kang
- Preclinical Research Center, Daegu-Gyeongbuk Medical Innovation Foundation (K-MEDI hub), Daegu, 41061, Republic of Korea
| | - Joo-Hee Choi
- Preclinical Research Center, Daegu-Gyeongbuk Medical Innovation Foundation (K-MEDI hub), Daegu, 41061, Republic of Korea
| | - Sijoon Lee
- Preclinical Research Center, Daegu-Gyeongbuk Medical Innovation Foundation (K-MEDI hub), Daegu, 41061, Republic of Korea
| | - Minkyoung Sung
- Preclinical Research Center, Daegu-Gyeongbuk Medical Innovation Foundation (K-MEDI hub), Daegu, 41061, Republic of Korea
| | - Wook-Tae Park
- Department of Orthopedic Surgery, Yeungnam University College of Medicine, Yeungnam University Medical Center, 170 Hyonchung-ro, Namgu, Daegu, 42415, Republic of Korea
| | | | - Min-Soo Seo
- Department of Veterinary Tissue Engineering, College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, Republic of Korea.
| | - Gun Woo Lee
- Department of Orthopedic Surgery, Yeungnam University College of Medicine, Yeungnam University Medical Center, 170 Hyonchung-ro, Namgu, Daegu, 42415, Republic of Korea.
- Cellexobio., Ltd, Daegu, 42415, Korea.
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Hu C, Lei Y, Liu X, Yu X, Geng Z, Liu Y, Yang L, Tie X, Zhou W, Li X, Zhang Y, Liang Y. Dissecting microenvironment in cystadenomas and hepatic cysts based on single nucleus RNA-sequencing data. Comput Biol Med 2024; 176:108541. [PMID: 38744012 DOI: 10.1016/j.compbiomed.2024.108541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/13/2024] [Accepted: 04/28/2024] [Indexed: 05/16/2024]
Abstract
Hepatic cystadenoma is a rare disease, accounting for about 5% of all cystic lesions, with a high tendency of malignant transformation. The preoperative diagnosis of cystadenoma is difficult, and some cystadenomas are easily misdiagnosed as hepatic cysts at first. Hepatic cyst is a relatively common liver disease, most of which are benign, but large hepatic cysts can lead to pressure on the bile duct, resulting in abnormal liver function. To better understand the difference between the microenvironment of cystadenomas and hepatic cysts, we performed single-nuclei RNA-sequencing on cystadenoma and hepatic cysts samples. In addition, we performed spatial transcriptome sequencing of hepatic cysts. Based on nucleus RNA-sequencing data, a total of seven major cell types were identified. Here we described the tumor microenvironment of cystadenomas and hepatic cysts, particularly the transcriptome signatures and regulators of immune cells and stromal cells. By inferring copy number variation, it was found that the malignant degree of hepatic stellate cells in cystadenoma was higher. Pseudotime trajectory analysis demonstrated dynamic transformation of hepatocytes in hepatic cysts and cystadenomas. Cystadenomas had higher immune infiltration than hepatic cysts, and T cells had a more complex regulatory mechanism in cystadenomas than hepatic cysts. Immunohistochemistry confirms a cystadenoma-specific T-cell immunoregulatory mechanism. These results provided a single-cell atlas of cystadenomas and hepatic cyst, revealed a more complex microenvironment in cystadenomas than in hepatic cysts, and provided new perspective for the molecular mechanisms of cystadenomas and hepatic cyst.
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Affiliation(s)
- Congxue Hu
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Yongqi Lei
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Xinyang Liu
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Xingxin Yu
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Zhida Geng
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Yu Liu
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Liyu Yang
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Xuehong Tie
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Wenzhe Zhou
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Xia Li
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Yunpeng Zhang
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| | - Yingjian Liang
- College of the First Affiliated Hospital of Harbin Medical University, Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
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Wang Z, Sun Y, Wu M, Zhou L, Zheng Y, Ren T, Li M, Zhao W. Hawthorn Proanthocyanidin Extract Inhibits Colorectal Carcinoma Metastasis by Targeting the Epithelial-Mesenchymal Transition Process and Wnt/β-Catenin Signaling Pathway. Foods 2024; 13:1171. [PMID: 38672844 PMCID: PMC11049232 DOI: 10.3390/foods13081171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 03/31/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
Colorectal carcinoma (CRC) is a major global health concern, with cancer metastasis being the main cause of patient mortality, and current CRC treatments are challenged by drug resistance. Although natural compounds, especially in foods like hawthorn proanthocyanidin extract (HPOE), have good anticancer activity, their effects on CRC metastasis remain unknown. Therefore, our objective was to investigate the impact and potential mechanisms of HPOE on the movement and infiltration of cells in the HCT116 CRC cells. Firstly, scratch-healing experiments confirmed the anti-migratory and anti-invasive capabilities of HPOE. Then, network pharmacology identified 16 possible targets, including MMP-9. Subsequently, RT-qPCR and Western blotting experiments confirmed that HPOE downregulated epithelial-mesenchymal transition-related factors (N-cadherin and MMP-9) and inhibited Wnt/β-catenin pathway activation. Finally, these results were experimentally validated using the Wnt pathway activator Licl and inhibitor XAV939. It was confirmed that HPOE had a certain inhibitory effect on the activation of the Wnt signaling pathway caused by the activator Licl and could enhance the inhibitory effect of the inhibitor XAV939. Our findings provide a basis for developing functional foods or dietary supplements, especially positioning HPOE as a functional food raw material for adjuvant treatment of CRC, given its ability to inhibit metastasis through the Wnt/β-catenin pathway.
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Affiliation(s)
| | | | | | | | | | | | | | - Wen Zhao
- College of Food Science and Technology, Hebei Agricultural University, Baoding 071001, China; (Z.W.); (Y.S.); (M.W.); (L.Z.); (Y.Z.); (T.R.); (M.L.)
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Miller-Kleinhenz JM, Moubadder L, Beyer KM, Zhou Y, Gaglioti AH, Collin LJ, Gohar J, Do W, Conneely K, Krishnamurti U, Gogineni K, Gabram-Mendola S, D’Angelo O, Henry K, Torres M, McCullough LE. Redlining-associated methylation in breast tumors: the impact of contemporary structural racism on the tumor epigenome. Front Oncol 2023; 13:1154554. [PMID: 37621676 PMCID: PMC10446968 DOI: 10.3389/fonc.2023.1154554] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 07/17/2023] [Indexed: 08/26/2023] Open
Abstract
Purpose Place-based measures of structural racism have been associated with breast cancer mortality, which may be driven, in part, by epigenetic perturbations. We examined the association between contemporary redlining, a measure of structural racism at the neighborhood level, and DNA methylation in breast tumor tissue. Methods We identified 80 Black and White women diagnosed and treated for a first-primary breast cancer at Emory University Hospitals (2008-2017). Contemporary redlining was derived for census tracts using the Home Mortgage Disclosure Act database. Linear regression models were used to calculate the association between contemporary redlining and methylation in breast tumor tissue. We also examined epigenetic age acceleration for two different metrics, regressing β values for each cytosine-phosphate-guanine dinucleotide (CpG) site on redlining while adjusting for covariates. We employed multivariable Cox-proportional hazards models and 95% confidence intervals (CI) to estimate the association between aberrant methylation and mortality. Results Contemporary redlining was associated with 5 CpG sites after adjustment for multiple comparisons (FDR<0.10). All genes were implicated in breast carcinogenesis, including genes related to inflammation, immune function and stress response (ANGPT1, PRG4 and PRG4). Further exploration of the top 25 CpG sites, identified interaction of 2 sites (MRPS28 and cg11092048) by ER status and 1 site (GDP1) was associated with all-cause mortality. Contemporary redlining was associated with epigenetic age acceleration by the Hannum metric (β=5.35; CI 95%=0.30,10.4) and showed positive but non-significant correlation with the other clock. Conclusion We identified novel associations between neighborhood contemporary redlining and the breast tumor DNA methylome, suggesting that racist policies leading to inequitable social and environmental exposures, may impact the breast tumor epigenome. Additional research on the potential implications for prognosis is needed.
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Affiliation(s)
| | - Leah Moubadder
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States
| | - Kirsten M. Beyer
- Division of Epidemiology, Institute for Health & Society, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Yuhong Zhou
- Division of Epidemiology, Institute for Health & Society, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Anne H. Gaglioti
- National Center for Primary Care, Department of Family Medicine, Morehouse School of Medicine, Atlanta, GA, United States
- Center for Health Integration, Population Health Research Institute at The MetroHealth System, Case Western Reserve University, Cleveland, OH, United States
| | - Lindsay J. Collin
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Jazib Gohar
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States
| | - Whitney Do
- Department of Global Health, Emory University Rollins School of Public Health, Atlanta, GA, United States
- Nutrition and Health Sciences Program, Laney Graduate School, Atlanta, GA, United States
| | - Karen Conneely
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, United States
| | - Uma Krishnamurti
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, United States
| | - Keerthi Gogineni
- Department of Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
| | | | - Olivia D’Angelo
- Department of Surgery, Jackson Memorial Hospital/University of Miami Miller School of Medicine, Miami, FL, United States
| | - Kashari Henry
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States
| | - Mylin Torres
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, United States
| | - Lauren E. McCullough
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States
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