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Lv T, Zhang B, Xu X, Jiang C, Zheng D, He D, Zhou Y, Yang J. Clinical prognosis and related molecular features of hepatitis B-associated adolescent and young adult hepatocellular carcinoma. Hum Genomics 2023; 17:52. [PMID: 37312215 DOI: 10.1186/s40246-023-00500-9] [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: 03/04/2023] [Accepted: 06/06/2023] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND Inattention has been given to the pathogenesis of adolescent and young adult (AYA) hepatocellular carcinoma (HCC). Due to the more advanced tumor progression and poorer prognosis of AYA-HCC, together with a better tolerance ability, noncirrhotic background, and a stronger willingness to treat AYA-HCC, clinical and molecular biology studies are urgent and necessary, especially for those with hepatitis B infection. METHODS For clinical aspects, the overall survival, the recurrence-free survival, and the Cox analyses were performed. Then, functional analysis, gene clustering, metabolic-related analysis, immune infiltration and competing endogenous RNA (ceRNA) construction were carried out using whole transcriptome sequencing technique. RESULTS Based on the clinical information of our HCC cohort, the overall survival and recurrence-free survival rates were worse in the AYA group than in the elderly group as previously described. According to our whole transcriptome sequencing results, functional analysis revealed that metabolism-related pathways as well as protein translation and endoplasmic reticulum processing were enriched. Then the hub metabolism-related genes were screened by metabolite-protein interactions (MPIs) and protein-protein interactions (PPIs). Fatty acid metabolism is a crucial component of metabolic pathways, abnormalities of which may be the reason for the worse prognosis of HBV-AYA HCC. Finally, the relationship of disrupted expression of metabolism-related genes with immune infiltration was also analyzed, and the lncRNA‒miRNA‒mRNA-related ceRNA network for HBV-AYA HCC was constructed, which may provide new cues for HBV-AHA HCC prevention. CONCLUSION The worse prognosis and recurrence rate of HBV-AYA HCC may be related to abnormalities in metabolism-related pathways, especially disorders of fatty acid metabolism.
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Affiliation(s)
- Tao Lv
- Department of Liver Transplant Center, Transplant Center & Lab of Liver Transplantation, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
| | - Bo Zhang
- Department of Liver Transplant Center, Transplant Center & Lab of Liver Transplantation, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- Department of Critical Care Medicine, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
| | - Xi Xu
- Department of Liver Transplant Center, Transplant Center & Lab of Liver Transplantation, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
| | - Chenhao Jiang
- Department of Liver Transplant Center, Transplant Center & Lab of Liver Transplantation, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
| | - Daofeng Zheng
- Department of Liver Transplant Center, Transplant Center & Lab of Liver Transplantation, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
| | - Diao He
- Department of Liver Transplant Center, Transplant Center & Lab of Liver Transplantation, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
| | - Yongjie Zhou
- Department of Liver Transplant Center, Transplant Center & Lab of Liver Transplantation, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
- Key Laboratory of Transplant Engineering and Immunology, NHC, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
| | - Jiayin Yang
- Department of Liver Transplant Center, Transplant Center & Lab of Liver Transplantation, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
- Key Laboratory of Transplant Engineering and Immunology, NHC, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
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Crump LS, Kines KT, Richer JK, Lyons TR. Breast cancers co-opt normal mechanisms of tolerance to promote immune evasion and metastasis. Am J Physiol Cell Physiol 2022; 323:C1475-C1495. [PMID: 36189970 PMCID: PMC9662806 DOI: 10.1152/ajpcell.00189.2022] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 09/22/2022] [Accepted: 09/27/2022] [Indexed: 11/22/2022]
Abstract
Normal developmental processes, such as those seen during embryonic development and postpartum mammary gland involution, can be reactivated by cancer cells to promote immune suppression, tumor growth, and metastatic spread. In mammalian embryos, paternal-derived antigens are at risk of being recognized as foreign by the maternal immune system. Suppression of the maternal immune response toward the fetus, which is mediated in part by the trophoblast, is critical to ensure embryonic survival and development. The postpartum mammary microenvironment also exhibits immunosuppressive mechanisms accompanying the massive cell death and tissue remodeling that occurs during mammary gland involution. These normal immunosuppressive mechanisms are paralleled during malignant transformation, where tumors can develop neoantigens that may be recognized as foreign by the immune system. To circumvent this, tumors can dedifferentiate and co-opt immune-suppressive mechanisms normally utilized during fetal tolerance and postpartum mammary involution. In this review, we discuss those similarities and how they can inform our understanding of cancer progression and metastasis.
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Affiliation(s)
- Lyndsey S Crump
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Kelsey T Kines
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Young Women's Breast Cancer Translational Program, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jennifer K Richer
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- University of Colorado Cancer Center, Aurora, Colorado
| | - Traci R Lyons
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Young Women's Breast Cancer Translational Program, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- University of Colorado Cancer Center, Aurora, Colorado
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Chen D, Zhang Y, Wang W, Chen H, Ling T, Yang R, Wang Y, Duan C, Liu Y, Guo X, Fang L, Liu W, Liu X, Liu J, Otkur W, Qi H, Liu X, Xia T, Liu H, Piao H. Identification and Characterization of Robust Hepatocellular Carcinoma Prognostic Subtypes Based on an Integrative Metabolite-Protein Interaction Network. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2100311. [PMID: 34247449 PMCID: PMC8425875 DOI: 10.1002/advs.202100311] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 05/08/2021] [Indexed: 06/01/2023]
Abstract
Metabolite-protein interactions (MPIs) play key roles in cancer metabolism. However, our current knowledge about MPIs in cancers remains limited due to the complexity of cancer cells. Herein, the authors construct an integrative MPI network and propose a MPI network based hepatocellular carcinoma (HCC) subtyping and mechanism exploration workflow. Based on the expressions of hub proteins on the MPI network, two prognosis-distinctive HCC subtypes are identified. Meanwhile, multiple interdependent features of the poor prognostic subtype are observed, including hypoxia, DNA hypermethylation of metabolic pathways, fatty acid accumulation, immune pathway up-regulation, and exhausted T-cell infiltration. Notably, the immune pathway up-regulation is probably induced by accumulated unsaturated fatty acids which are predicted to interact with multiple immune regulators like SRC and TGFB1. Moreover, based on tumor microenvironment compositions, the poor prognostic subtype is further divided into two sub-populations showing remarkable differences in metabolism. The subtyping shows a strong consistency across multiple HCC cohorts including early-stage HCC. Overall, the authors redefine robust HCC prognosis subtypes and identify potential MPIs linking metabolism to immune regulations, thus promoting understanding and clinical applications about HCC metabolism heterogeneity.
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Affiliation(s)
- Di Chen
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Yiran Zhang
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- University of Chinese Academy of SciencesBeijing100049China
| | - Wen Wang
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- University of Chinese Academy of SciencesBeijing100049China
| | - Huan Chen
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- University of Chinese Academy of SciencesBeijing100049China
| | - Ting Ling
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- University of Chinese Academy of SciencesBeijing100049China
| | - Renyu Yang
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- University of Chinese Academy of SciencesBeijing100049China
| | - Yawei Wang
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- Department of Thoracic SurgeryCancer Hospital of China Medical UniversityLiaoning Cancer Hospital & InstituteShenyang110042China
| | - Chao Duan
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- Department of Thoracic SurgeryCancer Hospital of China Medical UniversityLiaoning Cancer Hospital & InstituteShenyang110042China
| | - Yu Liu
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- Department of Thoracic SurgeryCancer Hospital of China Medical UniversityLiaoning Cancer Hospital & InstituteShenyang110042China
| | - Xin Guo
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Lei Fang
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Wuguang Liu
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Xiumei Liu
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Jing Liu
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Wuxiyar Otkur
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Huan Qi
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Xiaolong Liu
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Tian Xia
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Hong‐Xu Liu
- Department of Thoracic SurgeryCancer Hospital of China Medical UniversityLiaoning Cancer Hospital & InstituteShenyang110042China
| | - Hai‐long Piao
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- University of Chinese Academy of SciencesBeijing100049China
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Roth MJ, Moorehead RA. The miR-200 family in normal mammary gland development. BMC DEVELOPMENTAL BIOLOGY 2021; 21:12. [PMID: 34454436 PMCID: PMC8399786 DOI: 10.1186/s12861-021-00243-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 08/08/2021] [Indexed: 12/23/2022]
Abstract
The miR-200 family of microRNAs plays a significant role in inhibiting mammary tumor growth and progression, and its members are being investigated as therapeutic targets. Additionally, if future studies can prove that miR-200s prevent mammary tumor initiation, the microRNA family could also offer a preventative strategy. Before utilizing miR-200s in a therapeutic setting, understanding how they regulate normal mammary development is necessary. No studies investigating the role of miR-200s in embryonic ductal development could be found, and only two studies examined the impact of miR-200s on pubertal ductal morphogenesis. These studies showed that miR-200s are expressed at low levels in virgin mammary glands, and elevated expression of miR-200s have the potential to impair ductal morphogenesis. In contrast to virgin mammary glands, miR-200s are expressed at high levels in mammary glands during late pregnancy and lactation. miR-200s are also found in the milk of several mammalian species, including humans. However, the relevance of miR-200s in milk remains unclear. The increase in miR-200 expression in late pregnancy and lactation suggests a role for miR-200s in the development of alveoli and/or regulating milk production. Therefore, studies investigating the consequence of miR-200 overexpression or knockdown are needed to identify the function of miR-200s in alveolar development and lactation.
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Affiliation(s)
- Majesta J Roth
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Roger A Moorehead
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
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Jaswal S, Anand V, Ali SA, Jena MK, Kumar S, Kaushik JK, Mohanty AK. TMT based deep proteome analysis of buffalo mammary epithelial cells and identification of novel protein signatures during lactogenic differentiation. FASEB J 2021; 35:e21621. [PMID: 33977573 DOI: 10.1096/fj.202002476rr] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 04/09/2021] [Accepted: 04/12/2021] [Indexed: 01/04/2023]
Abstract
The lactating mammary gland harbours numerous matured alveoli with their lumen surrounded by differentiated mammary epithelial cells (MECs), which are exclusively involved in milk synthesis and secretion. Buffalo (Bubalus bubalis) is the second major milk-producing animal, and its physiology is different from cattle. The complete protein machinery involved in MECs differentiation is still not defined in ruminants, in particular, buffalo. Therefore, we have studied the differential expression of regulated proteins in the in vitro grown buffalo MECs (BuMECs) at different time points (on 3, 6, 12, and 15 days) of their differentiation in the presence of lactogenic hormones. TMT-based MS analysis identified 4,934 proteins; of them, 681 were differentially expressed proteins (DEPs). The principal component analysis suggested a highly heterogeneous expression of DEPs at the four-time points of hormone treatment, with most of them (307) attained the highest expression on 12 days. Bioinformatics analysis revealed the association of DEPs with 24 KEGG pathways. We observed few new proteins, namely ABCA13, IVL, VPS37, CZIB, RFX7, Rab5, TTLL12, SMEK1, GDI2, and TMEM131 in BuMECs. The function of one of the highly upregulated proteins, namely involucrin in the differentiation of BuMECs was confirmed based on biochemical inhibition assay. The results further conclude that the proteins with higher abundance can be considered as the potential biomarkers for differentiation, and they may have a significant association with the lactation process in buffalo too. The proteome dataset obtained can be used to understand the species-specific variations among other lactating animals.
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Affiliation(s)
- Shalini Jaswal
- Proteomics and Cell Biology Lab, Animal Biotechnology Centre, National Dairy Research Institute (NDRI), Karnal, India
| | - Vijay Anand
- Department of Veterinary Physiology and Biochemistry, Veterinary College and Research Institute (TANUVAS), Orathanadu, India
| | - Syed Azmal Ali
- Proteomics and Cell Biology Lab, Animal Biotechnology Centre, National Dairy Research Institute (NDRI), Karnal, India
| | - Manoj K Jena
- Department of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara, India
| | - Sudarshan Kumar
- Proteomics and Cell Biology Lab, Animal Biotechnology Centre, National Dairy Research Institute (NDRI), Karnal, India
| | - Jai K Kaushik
- Proteomics and Cell Biology Lab, Animal Biotechnology Centre, National Dairy Research Institute (NDRI), Karnal, India
| | - Ashok K Mohanty
- Proteomics and Cell Biology Lab, Animal Biotechnology Centre, National Dairy Research Institute (NDRI), Karnal, India
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Wu C, Su J, Wang X, Wang J, Xiao K, Li Y, Xiao Q, Ling M, Xiao Y, Qin C, Long W, Zhang F, Pan Y, Xiang F, Liu Q. Overexpression of the phospholipase A2 group V gene in glioma tumors is associated with poor patient prognosis. Cancer Manag Res 2019; 11:3139-3152. [PMID: 31114356 PMCID: PMC6489671 DOI: 10.2147/cmar.s199207] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Accepted: 03/17/2019] [Indexed: 11/23/2022] Open
Abstract
Purpose: Gliomas are the most common primary malignant neoplasms of the central nervous system. Secreted phospholipases A2 (sPLA2s) are known to play an important role in various physiological processes, including bioactive lipid production, defense mechanisms, and cell signaling. However, their roles and clinical importance in gliomas remain unclear. Patients and methods: In this study, we analyzed the association between the expression of various sPLA2-encoding genes and the clinicopathology of gliomas, using the data of 1047 patients obtained from a public database. Immunohistochemical analysis of 82 glioma tissues was also carried out to assess the relationship between phospholipase A2 group V (PLA2G5) protein expression and the World Health Organization (WHO) glioma grades. Results: We found that high PLA2G5 gene expression was associated with unfavorable prognosis in both low-grade and high-grade gliomas. The immunohistochemistry of the 82 glioma tissues further confirmed that PLA2G5 protein expression was dependent on the WHO glioma grade. In addition, we found a correlation between PLA2G5 gene expression and both epithelial-mesenchymal transition and the isocitrate dehydrogenase 1 mutation status in these tumors. Conclusion: Our results indicate that PLA2G5 could be a potential biomarker for predicting poor prognosis in patients with gliomas.
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Affiliation(s)
- Changwu Wu
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Jun Su
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Xiangyu Wang
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Junquan Wang
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Kai Xiao
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Yang Li
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Qun Xiao
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Min Ling
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Yao Xiao
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Chaoying Qin
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Wenyong Long
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China.,Institute of Skull Base Surgery and Neuro-Oncology at Hunan Neurosurgery Institute of Central South University, Changsha, Hunan, People's Republic of China
| | - Fengqi Zhang
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Yimin Pan
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Feng Xiang
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China
| | - Qing Liu
- Department of Neurosurgery, Xiangya Hospital, Central-South University, Changsha, Hunan, People's Republic of China.,Institute of Skull Base Surgery and Neuro-Oncology at Hunan Neurosurgery Institute of Central South University, Changsha, Hunan, People's Republic of China
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Jena MK, Jaswal S, Kumar S, Mohanty AK. Molecular mechanism of mammary gland involution: An update. Dev Biol 2019; 445:145-155. [DOI: 10.1016/j.ydbio.2018.11.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 10/01/2018] [Accepted: 11/06/2018] [Indexed: 12/11/2022]
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