1
|
Shen H, Li H, Tang H. CCDC110 promotes the progression of hepatocellular carcinoma by activating the TGF-β/SMAD signaling pathway through targeted regulation of TGFBR1. Cancer Cell Int 2025; 25:183. [PMID: 40394630 PMCID: PMC12093845 DOI: 10.1186/s12935-025-03803-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Accepted: 05/01/2025] [Indexed: 05/22/2025] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is recognized for its high growth rate, high degree of invasiveness, and tendency to spread, leading to a significant number of deaths. In the course of studying the transcriptome of HCC tissues, the protein coiled-coil domain-containing 110 (CCDC110) was identified. By employing tandem mass tag (TMT) quantitative proteomics, this research identified transforming growth factor beta receptor 1 (TGFBR1) as a potential target influenced by CCDC110. The purpose of this study was to examine the role of CCDC110 in the growth and invasion of HCC and to identify new potential targets for the treatment of HCC. METHODS In vitro and in vivo experiments were conducted to investigate the role and mechanism of CCDC110 in promoting the malignant behaviors of hepatocellular carcinoma through the regulation of TGFBR1. RESULTS We determined that the mRNA and protein levels of CCDC110 are elevated in hepatocellular carcinoma tissues and cell lines, which is correlated with a worse patient prognosis. CCDC110 enhances the proliferation of hepatocellular carcinoma cells, reduces their apoptosis, and increases their migration and invasion capabilities. In the cytoplasm, CCDC110 interacts with TGFBR1, enhancing stability of TGFBR1, promoting proliferation, and reducing the apoptosis, migration, and invasion of hepatocellular carcinoma cells through TGFBR1 both in vivo and in vitro. The CCDC110-TGFBR1 axis stimulates EMT, thereby enhancing the malignant biological behavior of hepatocellular carcinoma by activating the TGF-β/SMAD signaling pathway. The protein levels of CCDC110/TGFBR1 in hepatocellular carcinoma tissues are highly expressed and positively correlated. A combined analysis of CCDC110 and TGFBR1 provides improved guidance for the prognosis of patients with hepatocellular carcinoma. CONCLUSION CCDC110 is highly expressed in hepatocellular carcinoma tissues and cell lines, and the CCDC110-TGFBR1 axis facilitates EMT and the malignant biological behavior of hepatocellular carcinoma through the activation of the TGF-β/SMAD signaling pathway.
Collapse
Affiliation(s)
- Hao Shen
- Department of Thyroid Breast Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai 200120, China.
| | - Haifeng Li
- Department of Hepatic-Biliary-Pancreatic Center, Zhongda Hospital, Medical School, Southeast University, Nanjing 210000, China
| | - Haodong Tang
- Department of Hepatic-Biliary-Pancreatic Center, Zhongda Hospital, Medical School, Southeast University, Nanjing 210000, China
| |
Collapse
|
2
|
Guan X, Fan Y, Six R, Van Soom A, Pavani KC, Peelman L. MicroRNAs bta-novel-miR-117, bta-novel-miR-234 and bta-novel-miR-417 have adverse effects on blastocyst formation. Theriogenology 2025; 233:88-99. [PMID: 39613498 DOI: 10.1016/j.theriogenology.2024.11.018] [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: 08/09/2024] [Revised: 11/21/2024] [Accepted: 11/21/2024] [Indexed: 12/01/2024]
Abstract
In a previous study we found that the levels of the novel microRNAs (miRNAs) bta-novel-miR-117 bta-novel-miR-234 and bta-novel-miR-417 (P < 0.001) are significantly up-regulated in extracellular vesicles (EVs) in the culture medium of degenerating embryos compared to blastocysts. Because the functions of these novel miRNAs are still unknown, we investigated their regulatory roles during bovine blastocyst development by adding their mimics and inhibitors to the culture medium. The addition of mimics for bta-novel-miR-117, bta-novel-miR-234 and bta-novel-miR-417 resulted in a decreased blastocyst rate, and supplementation of bta-novel-miR-234 inhibitors increased the cleavage rate significantly (P < 0.001). Low-input transcriptome analysis and RT-qPCR results revealed that bta-novel-miR-117, bta-novel-miR-234 and bta-novel-miR-417 co-target genes such as ANKEF1, HAND2 and SLC2A2, downregulated their expression significantly (P < 0.001). These genes associated with glucose transmembrane transport and plasma membrane raft metabolism play crucial roles in embryonic development. The results suggest that overexpressing of these three novel miRNAs impairs embryonic development, and they might serve as biomarkers to detect failing bovine embryos.
Collapse
Affiliation(s)
- Xuefeng Guan
- Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Ghent University, Heidestraat 19, 9820, Merelbeke, Belgium
| | - Yuan Fan
- Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Ghent University, Heidestraat 19, 9820, Merelbeke, Belgium
| | - Rani Six
- Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Ghent University, Heidestraat 19, 9820, Merelbeke, Belgium
| | - Ann Van Soom
- Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, University of Ghent, Salisburylaan 133, B-9820, Merelbeke, Belgium
| | - Krishna Chaitanya Pavani
- Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, University of Ghent, Salisburylaan 133, B-9820, Merelbeke, Belgium; Department for Reproductive Medicine, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Gent, Belgium.
| | - Luc Peelman
- Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Ghent University, Heidestraat 19, 9820, Merelbeke, Belgium.
| |
Collapse
|
3
|
Naik A, Lattab B, Qasem H, Decock J. Cancer testis antigens: Emerging therapeutic targets leveraging genomic instability in cancer. MOLECULAR THERAPY. ONCOLOGY 2024; 32:200768. [PMID: 38596293 PMCID: PMC10876628 DOI: 10.1016/j.omton.2024.200768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Cancer care has witnessed remarkable progress in recent decades, with a wide array of targeted therapies and immune-based interventions being added to the traditional treatment options such as surgery, chemotherapy, and radiotherapy. However, despite these advancements, the challenge of achieving high tumor specificity while minimizing adverse side effects continues to dictate the benefit-risk balance of cancer therapy, guiding clinical decision making. As such, the targeting of cancer testis antigens (CTAs) offers exciting new opportunities for therapeutic intervention of cancer since they display highly tumor specific expression patterns, natural immunogenicity and play pivotal roles in various biological processes that are critical for tumor cellular fitness. In this review, we delve deeper into how CTAs contribute to the regulation and maintenance of genomic integrity in cancer, and how these mechanisms can be exploited to specifically target and eradicate tumor cells. We review the current clinical trials targeting aforementioned CTAs, highlight promising pre-clinical data and discuss current challenges and future perspectives for future development of CTA-based strategies that exploit tumor genomic instability.
Collapse
Affiliation(s)
- Adviti Naik
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
| | - Boucif Lattab
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
| | - Hanan Qasem
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
- College of Health and Life Sciences (CHLS), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Julie Decock
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
- College of Health and Life Sciences (CHLS), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Doha, Qatar
| |
Collapse
|
4
|
Liu Z, Yan W, Liu S, Liu Z, Xu P, Fang W. Regulatory network and targeted interventions for CCDC family in tumor pathogenesis. Cancer Lett 2023; 565:216225. [PMID: 37182638 DOI: 10.1016/j.canlet.2023.216225] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/03/2023] [Accepted: 05/10/2023] [Indexed: 05/16/2023]
Abstract
CCDC (coiled-coil domain-containing) is a coiled helix domain that exists in natural proteins. There are about 180 CCDC family genes, encoding proteins that are involved in intercellular transmembrane signal transduction and genetic signal transcription, among other functions. Alterations in expression, mutation, and DNA promoter methylation of CCDC family genes have been shown to be associated with the pathogenesis of many diseases, including primary ciliary dyskinesia, infertility, and tumors. In recent studies, CCDC family genes have been found to be involved in regulation of growth, invasion, metastasis, chemosensitivity, and other biological behaviors of malignant tumor cells in various cancer types, including nasopharyngeal carcinoma, lung cancer, colorectal cancer, and thyroid cancer. In this review, we summarize the involvement of CCDC family genes in tumor pathogenesis and the relevant upstream and downstream molecular mechanisms. In addition, we summarize the potential of CCDC family genes as tumor therapy targets. The findings discussed here help us to further understand the role and the therapeutic applications of CCDC family genes in tumors.
Collapse
Affiliation(s)
- Zhen Liu
- Cancer Center, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, 510315, Guangzhou, China.
| | - Weiwei Yan
- Cancer Center, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, 510315, Guangzhou, China
| | - Shaohua Liu
- Department of General Surgery, Pingxiang People's Hospital, Pingxiang, Jiangxi, 337000, China
| | - Zhan Liu
- Department of Gastroenterology and Clinical Nutrition, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, 410002, China
| | - Ping Xu
- Cancer Center, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, 510315, Guangzhou, China; Respiratory Department, Peking University Shenzhen Hospital, Shenzhen, 518034, China.
| | - Weiyi Fang
- Cancer Center, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, 510315, Guangzhou, China.
| |
Collapse
|
5
|
Wen J, Fu CHY, Tosun D, Veturi Y, Yang Z, Abdulkadir A, Mamourian E, Srinivasan D, Skampardoni I, Singh A, Nawani H, Bao J, Erus G, Shou H, Habes M, Doshi J, Varol E, Mackin RS, Sotiras A, Fan Y, Saykin AJ, Sheline YI, Shen L, Ritchie MD, Wolk DA, Albert M, Resnick SM, Davatzikos C. Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression. JAMA Psychiatry 2022; 79:464-474. [PMID: 35262657 PMCID: PMC8908227 DOI: 10.1001/jamapsychiatry.2022.0020] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 12/19/2021] [Indexed: 12/14/2022]
Abstract
Importance Late-life depression (LLD) is characterized by considerable heterogeneity in clinical manifestation. Unraveling such heterogeneity might aid in elucidating etiological mechanisms and support precision and individualized medicine. Objective To cross-sectionally and longitudinally delineate disease-related heterogeneity in LLD associated with neuroanatomy, cognitive functioning, clinical symptoms, and genetic profiles. Design, Setting, and Participants The Imaging-Based Coordinate System for Aging and Neurodegenerative Diseases (iSTAGING) study is an international multicenter consortium investigating brain aging in pooled and harmonized data from 13 studies with more than 35 000 participants, including a subset of individuals with major depressive disorder. Multimodal data from a multicenter sample (N = 996), including neuroimaging, neurocognitive assessments, and genetics, were analyzed in this study. A semisupervised clustering method (heterogeneity through discriminative analysis) was applied to regional gray matter (GM) brain volumes to derive dimensional representations. Data were collected from July 2017 to July 2020 and analyzed from July 2020 to December 2021. Main Outcomes and Measures Two dimensions were identified to delineate LLD-associated heterogeneity in voxelwise GM maps, white matter (WM) fractional anisotropy, neurocognitive functioning, clinical phenotype, and genetics. Results A total of 501 participants with LLD (mean [SD] age, 67.39 [5.56] years; 332 women) and 495 healthy control individuals (mean [SD] age, 66.53 [5.16] years; 333 women) were included. Patients in dimension 1 demonstrated relatively preserved brain anatomy without WM disruptions relative to healthy control individuals. In contrast, patients in dimension 2 showed widespread brain atrophy and WM integrity disruptions, along with cognitive impairment and higher depression severity. Moreover, 1 de novo independent genetic variant (rs13120336; chromosome: 4, 186387714; minor allele, G) was significantly associated with dimension 1 (odds ratio, 2.35; SE, 0.15; P = 3.14 ×108) but not with dimension 2. The 2 dimensions demonstrated significant single-nucleotide variant-based heritability of 18% to 27% within the general population (N = 12 518 in UK Biobank). In a subset of individuals having longitudinal measurements, those in dimension 2 experienced a more rapid longitudinal change in GM and brain age (Cohen f2 = 0.03; P = .02) and were more likely to progress to Alzheimer disease (Cohen f2 = 0.03; P = .03) compared with those in dimension 1 (N = 1431 participants and 7224 scans from the Alzheimer's Disease Neuroimaging Initiative [ADNI], Baltimore Longitudinal Study of Aging [BLSA], and Biomarkers for Older Controls at Risk for Dementia [BIOCARD] data sets). Conclusions and Relevance This study characterized heterogeneity in LLD into 2 dimensions with distinct neuroanatomical, cognitive, clinical, and genetic profiles. This dimensional approach provides a potential mechanism for investigating the heterogeneity of LLD and the relevance of the latent dimensions to possible disease mechanisms, clinical outcomes, and responses to interventions.
Collapse
Affiliation(s)
- Junhao Wen
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Cynthia H. Y. Fu
- University of East London, School of Psychology, London, United Kingdom
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Yogasudha Veturi
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Zhijian Yang
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ahmed Abdulkadir
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Elizabeth Mamourian
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Dhivya Srinivasan
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ioanna Skampardoni
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ashish Singh
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Hema Nawani
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jingxuan Bao
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Guray Erus
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Haochang Shou
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Mohamad Habes
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio
| | - Jimit Doshi
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Erdem Varol
- Department of Statistics, Center for Theoretical Neuroscience, Zuckerman Institute, Columbia University, New York, New York
| | - R. Scott Mackin
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Aristeidis Sotiras
- Department of Radiology and Institute for Informatics, Washington University School of Medicine, St Louis, Missouri
| | - Yong Fan
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Andrew J. Saykin
- Radiology and Imaging Sciences, Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana Alzheimer’s Disease Research Center and the Melvin and Bren Simon Cancer Center, Indiana University School of Medicine, Indianapolis
| | - Yvette I. Sheline
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Marylyn D. Ritchie
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - David A. Wolk
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Neurology and Penn Memory Center, University of Pennsylvania, Philadelphia
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| |
Collapse
|
6
|
Fan C, Qu H, Wang X, Sobhani N, Wang L, Liu S, Xiong W, Zeng Z, Li Y. Cancer/testis antigens: from serology to mRNA cancer vaccine. Semin Cancer Biol 2021; 76:218-231. [PMID: 33910064 DOI: 10.1016/j.semcancer.2021.04.016] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/19/2021] [Accepted: 04/20/2021] [Indexed: 02/01/2023]
Abstract
Cancer/testis antigens (CTAs) are a group of tumor antigens expressed in numerous cancer tissues, as well as in the testis and placental tissues. There are over 200 CTAs supported by serology and expression data. The expression patterns of CTAs reflect the similarities between the processes of gametogenesis and tumorigenesis. It is notable that CTAs are highly expressed in three types of cancers (lung cancer, bladder cancer, and skin cancer), all of which have a metal etiology. Here, we review the expression, regulation, and function of CTAs and their translational prospects as cancer biomarkers and treatment targets. Many CTAs are highly immunogenic, tissue-specific, and frequently expressed in cancer tissues but not under physiological conditions, rendering them promising candidates for cancer detection. Some CTAs are associated with clinical outcomes, so they may serve as prognostic biomarkers. A small number of CTAs are membrane-bound, making them ideal targets for chimeric antigen receptor (CAR) T cells. Mounting evidence suggests that CTAs induce humoral or cellular immune responses, providing cancer immunotherapeutic opportunities for T-cell receptors (TCRs), CAR T cell, antibody-based therapy and peptide- or mRNA-based vaccines. Indeed, CTAs are the dominating non-mutated targets in mRNA cancer vaccine development. Clinical trials on CTA TCR and vaccines have shown effectiveness, safety, and tolerance, but these successes are limited to a small number of patients. In-depth studies on CTA expression and function are needed to improve CTA-based immunotherapy.
Collapse
Affiliation(s)
- Chunmei Fan
- The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, Hunan, China; Section of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, United States
| | - Hongke Qu
- The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, Hunan, China
| | - Xu Wang
- Section of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, United States
| | - Navid Sobhani
- Section of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, United States
| | - Leiming Wang
- Section of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, United States
| | - Shuanglin Liu
- Section of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, United States
| | - Wei Xiong
- The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, Hunan, China
| | - Zhaoyang Zeng
- The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, Hunan, China.
| | - Yong Li
- Section of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, United States.
| |
Collapse
|