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Santos‐Beneit F. What is the role of microbial biotechnology and genetic engineering in medicine? Microbiologyopen 2024; 13:e1406. [PMID: 38556942 PMCID: PMC10982607 DOI: 10.1002/mbo3.1406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/26/2024] [Accepted: 03/12/2024] [Indexed: 04/02/2024] Open
Abstract
Microbial products are essential for developing various therapeutic agents, including antibiotics, anticancer drugs, vaccines, and therapeutic enzymes. Genetic engineering techniques, functional genomics, and synthetic biology unlock previously uncharacterized natural products. This review highlights major advances in microbial biotechnology, focusing on gene-based technologies for medical applications.
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Affiliation(s)
- Fernando Santos‐Beneit
- Institute of Sustainable ProcessesValladolidSpain
- Department of Chemical Engineering and Environmental Technology, School of Industrial EngineeringUniversity of ValladolidValladolidSpain
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2
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Ishteyaque S, Singh G, Yadav KS, Verma S, Sharma RK, Sen S, Srivastava AK, Mitra K, Lahiri A, Bawankule DU, Rath SK, Kumar D, Mugale MN. Cooperative STAT3-NFkB signaling modulates mitochondrial dysfunction and metabolic profiling in hepatocellular carcinoma. Metabolism 2024; 152:155771. [PMID: 38184165 DOI: 10.1016/j.metabol.2023.155771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/12/2023] [Accepted: 12/27/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) continues to pose a significant health challenge and is often diagnosed at advanced stages. Metabolic reprogramming is a hallmark of many cancer types, including HCC and it involves alterations in various metabolic or nutrient-sensing pathways within liver cells to facilitate the rapid growth and progression of tumours. However, the role of STAT3-NFκB in metabolic reprogramming is still not clear. APPROACH AND RESULTS Diethylnitrosamine (DEN) administered animals showed decreased body weight and elevated level of serum enzymes. Also, Transmission electron microscopy (TEM) analysis revealed ultrastructural alterations. Increased phosphorylated signal transducer and activator of transcription-3 (p-STAT3), phosphorylated nuclear factor kappa B (p-NFκβ), dynamin related protein 1 (Drp-1) and alpha-fetoprotein (AFP) expression enhance the carcinogenicity as revealed in immunohistochemistry (IHC). The enzyme-linked immunosorbent assay (ELISA) concentration of IL-6 was found to be elevated in time dependent manner both in blood serum and liver tissue. Moreover, immunoblot analysis showed increased level of p-STAT3, p-NFκβ and IL-6 stimulated the upregulation of mitophagy proteins such as Drp-1, Phosphatase and tensin homolog (PTEN)-induced putative kinase 1 (PINK-1). Meanwhile, downregulation of Poly [ADP-ribose] polymerase 1 (PARP-1) and cleaved caspase 3 suppresses apoptosis and enhanced expression of AFP supports tumorigenesis. The mRNA level of STAT3 and Drp-1 was also found to be significantly increased. Furthermore, we performed high-field 800 MHz Nuclear Magnetic Resonance (NMR) based tissue and serum metabolomics analysis to identify metabolic signatures associated with the progression of liver cancer. The metabolomics findings revealed aberrant metabolic alterations in liver tissue and serum of 75th and 105th days of intervention groups in comparison to control, 15th and 45th days of intervention groups. Tissue metabolomics analysis revealed the accumulation of succinate in the liver tissue samples, whereas, serum metabolomics analysis revealed significantly decreased circulatory levels of ketone bodies (such as 3-hydroxybutyrate, acetate, acetone, etc.) and membrane metabolites suggesting activated ketolysis in advanced stages of liver cancer. CONCLUSION STAT3-NFκβ signaling axis has a significant role in mitochondrial dysfunction and metabolic alterations in the development of HCC.
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Affiliation(s)
- Sharmeen Ishteyaque
- Division of Cancer Biology CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Division of Toxicology and Experimental Medicine, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Gurvinder Singh
- Department of Advanced Spectroscopy and Imaging, Centre of Biomedical Research (CBMR), SGPGIMS Campus, Raebareli Road, Lucknow-226014, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Karan Singh Yadav
- Division of Cancer Biology CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Division of Toxicology and Experimental Medicine, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Smriti Verma
- Division of Cancer Biology CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Division of Toxicology and Experimental Medicine, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Rakesh Kumar Sharma
- Sophisticated Analytical Instrument Facility and Research Division CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Sumati Sen
- Bioprospection and Product Development Division, CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow, Uttar Pradesh 226015, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Anurag Kumar Srivastava
- Division of Toxicology and Experimental Medicine, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India
| | - Kalyan Mitra
- Sophisticated Analytical Instrument Facility and Research Division CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Amit Lahiri
- Pharmacology Division, CSIR - Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Dnyaneshwar U Bawankule
- Bioprospection and Product Development Division, CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow, Uttar Pradesh 226015, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Srikanta Kumar Rath
- Division of Toxicology and Experimental Medicine, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India
| | - Dinesh Kumar
- Department of Advanced Spectroscopy and Imaging, Centre of Biomedical Research (CBMR), SGPGIMS Campus, Raebareli Road, Lucknow-226014, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
| | - Madhav Nilakanth Mugale
- Division of Cancer Biology CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Division of Toxicology and Experimental Medicine, CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
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Yao W, Wang L, Liu F, Xia L. The role of long non-coding RNAs in breast cancer microenvironment. Pathol Res Pract 2023; 248:154707. [PMID: 37506626 DOI: 10.1016/j.prp.2023.154707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023]
Abstract
The tumor microenvironment (TME), which includes tumor cells, fibroblasts, endothelial cells, immune cells, and blood vessels, can affect tumor growth and metastasis. Studies have shown that tumor cells, fibroblasts, and macrophages can promote the development of tumors, while T and B cells can inhibit tumor progression. The crosstalk among different cells within the TME needs further study. Long non-coding RNAs (lncRNAs) are involved in biological processes, including cell proliferation, migration, and differentiation. The abnormal expression of certain lncRNAs is correlated with the progression of breast cancer and has been proven as diagnostic markers in various cancers, including breast cancer. In breast cancer, recent studies have shown that tumor cell- and non-tumor cell-derived lncRNAs can affect various facets of tumor progression, including growth, proliferation, and migration of tumor cells. Interestingly, in addition to being regulated by lncRNAs derived from tumor and non-tumor cells, the TME can regulate the expression of lncRNAs in tumor cells, fibroblasts, and macrophages, influencing their phenotype and function. However, the detailed molecular mechanisms of these phenomena remain unclear in the breast cancer microenvironment. Currently, many studies have shown that TME-associated lncRNAs are potential diagnostic and therapeutic targets for breast cancer. Considering that TME and lncRNAs can regulate each other, we summarize the role of lncRNAs in the breast cancer microenvironment and the potential of lncRNAs as valuable diagnostic markers.
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Affiliation(s)
- Wenwu Yao
- Institute of Hematological Disease, Jiangsu University, Zhenjiang 212001, China; International Genome Center, Jiangsu University, Zhenjiang 212013, China
| | - Lin Wang
- Department of Thyroid and Breast Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China
| | - Fang Liu
- International Genome Center, Jiangsu University, Zhenjiang 212013, China
| | - Lin Xia
- Institute of Hematological Disease, Jiangsu University, Zhenjiang 212001, China; Department of Laboratory Medicine, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China.
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Xu D, Chen WQ, Liang MX, Chen X, Liu Z, Fei YJ, Shao XY, Wu Y, Zhang W, Tang JH. Tumor-derived small extracellular vesicles promote breast cancer progression by upregulating PD-L1 expression in macrophages. Cancer Cell Int 2023; 23:137. [PMID: 37452413 PMCID: PMC10347751 DOI: 10.1186/s12935-023-02980-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 06/28/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND The metastasis of breast cancer (BC) is a complex multi-step pathological process, strictly dependent on the intrinsic characteristics of BC cells and promoted by a predisposing microenvironment. Although immunotherapy has made important progress in metastasis BC, the heterogeneity of PD-L1 in tumor associated macrophages (TAMs) in BC and the underlying mechanisms in the metastasis development of BC are still not completely elucidated. Small extracellular vesicles (sEVs) represent essential interaction mediators between BC cells and TAMs. It is worth noting to explore the underlying mechanisms typical of sEVs and their role in the metastasis development of BC. METHODS The structure of sEVs was identified by TEM, while the particle size and amounts of sEVs were detected by BCA and NTA analysis. The specific PD-L1 + CD163 + TAM subpopulation in metastasis BC was identified by scRNA-seq data of GEO datasets and verified by IHC and IF. The function of TAMs and sEVs in metastasis BC was explored by RT-qPCR, WB, IF, flow cytometry and in vivo experiment. The expression profiles of plasma sEVs-miRNA in relation to BC metastasis was analyzed using next-generation sequencing. Further detailed mechanisms of sEVs in the metastasis development of BC were explored by bioinformatics analysis, RT-qPCR, WB and luciferase reporter assay. RESULTS In this study, we identified that the immunosuppressive molecule PD-L1 was more abundant in TAMs than in BC cells, and a specific PD-L1 + CD163 + TAM subpopulation was found to be associated with metastasis BC. Additionally, we found that BC cells-derived sEVs can upregulate the PD-L1 expression and induce the M2 polarization, enhancing the metastasis development both in vitro and in vivo. Also, Clinical data showed that sEV-miR-106b-5p and sEV-miR-18a-5p was in relation to BC metastasis development and poor prognosis of BC patients. Further mechanistic experiments revealed that BC-derived sEV-miR-106b-5p and sEV-miR-18a-5p could synergistically promoted the PD-L1 expression in M2 TAMs by modulating the PTEN/AKT and PIAS3/STAT3 pathways, resulting in the enhancement of the BC cells invasion and metastasis. CONCLUSIONS Our study demonstrated that BC-derived sEVs can induce metastasis in BC through miR-106b-5p/PTEN/AKT/PD-L1 and miR-18a-5p/PIAS3/STAT3/PD-L1 pathways in TAMs. Therefore, the inhibition of these specific interactions of signaling pathways would represent a promising target for future therapeutic strategies for treatment of BC.
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Affiliation(s)
- Di Xu
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, P.R. China
| | - Wen-Quan Chen
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, P.R. China
| | - Ming-Xing Liang
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, P.R. China
| | - Xiu Chen
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, P.R. China
| | - Zhen Liu
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, P.R. China
| | - Yin-Jiao Fei
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, P.R. China
| | - Xin-Yi Shao
- The First Clinical college, Nanjing University of Chinese Medicine, Nanjing, 210029, P.R. China
| | - Yang Wu
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, P.R. China
| | - Wei Zhang
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, P.R. China.
| | - Jin-Hai Tang
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, P.R. China.
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Rao Malla R, Bhamidipati P, Adem M. Insights into the potential of Sanguinarine as a promising therapeutic option for breast cancer. Biochem Pharmacol 2023; 212:115565. [PMID: 37086811 DOI: 10.1016/j.bcp.2023.115565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 04/24/2023]
Abstract
Breast cancer (BC) is one of the leading causes of cancer-related deaths in women worldwide. The tumor microenvironment (TME) plays a crucial role in the progression and metastasis of BC. A significant proportion of BC is characterized by a hypoxic TME, which contributes to the development of drug resistance and cancer recurrence. Sanguinarine (SAN), an isoquinoline alkaloid found in Papaver plants, has shown promise as an anticancer agent. The present review focuses on exploring the molecular mechanisms of hypoxic TME in BC and the potential of SAN as a therapeutic option. The review presents the current understanding of the hypoxic TME, its signaling pathways, and its impact on the progression of BC. Additionally, the review elaborates on the mechanisms of action of SAN in BC, including its effects on vital cellular processes such as proliferation, migration, drug resistance, and tumor-induced immune suppression. The review highlights the importance of addressing hypoxic TME in treating BC and the potential of SAN as a promising therapeutic option.
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Affiliation(s)
- Rama Rao Malla
- Cancer Biology Laboratory, Department of Biochemistry and Bioinformatics, School of Science, GITAM (Deemed to be University), Visakhapatnam-530045, Andhra Pradesh, India
| | - Priyamvada Bhamidipati
- Cancer Biology Laboratory, Department of Biochemistry and Bioinformatics, School of Science, GITAM (Deemed to be University), Visakhapatnam-530045, Andhra Pradesh, India
| | - Meghapriya Adem
- Department of Biotechnology, Sri Padmavathi Mahila Visva vidhyalayam, Tirupati-517502, Andhra Pradesh, India
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Wang R, Hua Y, Wu H, Wang J, Xiao YC, Chen X, Ao Q, Zeng Q, Zhu X, Zhang X. Hydroxyapatite nanoparticles promote TLR4 agonist-mediated anti-tumor immunity through synergically enhanced macrophage polarization. Acta Biomater 2023; 164:626-640. [PMID: 37086827 DOI: 10.1016/j.actbio.2023.04.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/30/2023] [Accepted: 04/17/2023] [Indexed: 04/24/2023]
Abstract
Macrophages represent the most prevalent immune cells in the tumor micro-environment, making them an appealing target for tumor immunotherapy. One of our previous studies showed that hydroxyapatite nanoparticles (HANPs) enhanced Toll-like receptor 4 (TLR4) signal transduction in macrophages. This study was proposed to investigate how HANPs manipulated the phenotype and function of macrophage against 4T1 tumors in the presence or absence of MPLA, a low toxic Toll-like receptor 4 (TLR4) agonist. The results demonstrated that the addition of HANPs to MPLA significantly promoted cytokine secretion and macrophage polarization toward a tumoricidal M1 phenotype. Further, the resulting supernatant from HANPs/MPLA co-stimulated macrophages enhanced 4T1 tumor cells apoptosis compared to that from macrophages treated with a single component or PBS control. In particular, we found HANPs elicited immunogenic cell death (ICD) indicated by the increased expression of "danger signals", including HMGB1, CRT and ATP in 4T1 cells. Subsequently, the ICD derivatives-containing supernatant from HANPs-treated 4T1 cells activated macrophage and shifted the phenotype of the cells toward M1 type. Moreover, in a tumor-bearing mice model, HANPs and MPLA synergistically delayed tumor growth compared to PBS control, which was positively associated with the promoted macrophage polarization and ICD induction. Therefore, our findings demonstrated a potential platform to modulate the function of macrophages, and shed a new insight into the mechanism involving the immunomodulatory effect of HANPs for tumor therapy. STATEMENT OF SIGNIFICANCE: Polarizing macrophage toward tumoricidal phenotype by harnessing Toll-like receptor (TLR) agonists has been proven effective for tumor immunotherapy. However, the immunomodulatory potency of TLR agonists is limited due to immune suppression or tolerance associated with TLR activation in immune cells. Herein, we introduced hydroxyapatite nanoparticles (HANPs) to MPLA, a TLR4 agonist. The results demonstrated that the addition of HANPs to MPLA promoted macrophage shift toward tumoricidal M1 phenotype, supported a "hot" tumor transformation, and delayed 4T1 tumor growth. Moreover, we found that HANPs elicited immunogenic cell death that produced "danger" signals from cancer cells thereby further facilitated macrophage polarization. This work is significant to direct the rational design of HANPs coupled with or without TLR agonists for tumor immunotherapy.
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Affiliation(s)
- Ruiqi Wang
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China, 610064; Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan University, Chengdu, China, 610041
| | - Yuchen Hua
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China, 610064; College of Biomedical Engineering, Sichuan University, Chengdu, China, 610064
| | - Hongfeng Wu
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China, 610064; College of Biomedical Engineering, Sichuan University, Chengdu, China, 610064
| | - Jingyu Wang
- College of Biomedical Engineering, Sichuan University, Chengdu, China, 610064
| | - You-Cai Xiao
- Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan University, Chengdu, China, 610041
| | - Xuening Chen
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China, 610064; College of Biomedical Engineering, Sichuan University, Chengdu, China, 610064
| | - Qiang Ao
- NMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterials & Institute of Regulatory Science for Medical Devices & NMPA Research Base of Regulatory Science for Medical Devices, Sichuan University, Chengdu, China, 610064; College of Biomedical Engineering, Sichuan University, Chengdu, China, 610064
| | - Qin Zeng
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China, 610064; NMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterials & Institute of Regulatory Science for Medical Devices & NMPA Research Base of Regulatory Science for Medical Devices, Sichuan University, Chengdu, China, 610064; College of Biomedical Engineering, Sichuan University, Chengdu, China, 610064.
| | - Xiangdong Zhu
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China, 610064; College of Biomedical Engineering, Sichuan University, Chengdu, China, 610064.
| | - Xingdong Zhang
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China, 610064; NMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterials & Institute of Regulatory Science for Medical Devices & NMPA Research Base of Regulatory Science for Medical Devices, Sichuan University, Chengdu, China, 610064; College of Biomedical Engineering, Sichuan University, Chengdu, China, 610064
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Zwager MC, Bense R, Waaijer S, Qiu SQ, Timmer-Bosscha H, de Vries EGE, Schröder CP, van der Vegt B. Assessing the role of tumour-associated macrophage subsets in breast cancer subtypes using digital image analysis. Breast Cancer Res Treat 2023; 198:11-22. [PMID: 36622544 PMCID: PMC9883348 DOI: 10.1007/s10549-022-06859-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 12/29/2022] [Indexed: 01/10/2023]
Abstract
PURPOSE The number of M1-like and M2-like tumour-associated macrophages (TAMs) and their ratio can play a role in breast cancer development and progression. Early clinical trials using macrophage targeting compounds are currently ongoing. However, the most optimal detection method of M1-like and M2-like macrophage subsets and their clinical relevance in breast cancer is still unclear. We aimed to optimize the assessment of TAM subsets in different breast cancer subtypes, and therefore related TAM subset numbers and ratio to clinicopathological characteristics and clinical outcome. METHODS Tissue microarrays of 347 consecutive primary Luminal-A, Luminal-B, HER2-positive and triple-negative tumours of patients with early-stage breast cancer were serially sectioned and immunohistochemically stained for the pan-macrophage marker CD68 and the M2-like macrophage markers CD163, CSF-1R and CD206. TAM numbers were quantified using a digital image analysis algorithm. M1-like macrophage numbers were calculated by subtracting M2-like TAM numbers from the total TAM number. RESULTS M2-like markers CD163 and CSF-1R showed a moderate positive association with each other and with CD68 (r ≥ 0.47), but only weakly with CD206 (r ≤ 0.06). CD68 + , CD163 + and CSF-1R + macrophages correlated with tumour grade in Luminal-B tumours (P < 0.001). Total or subset TAM numbers did not correlate with disease outcome in any breast cancer subtype. CONCLUSION In conclusion, macrophages and their subsets can be detected by means of a panel of TAM markers and are related to unfavourable clinicopathological characteristics in Luminal-B breast cancer. However, their impact on outcome remains unclear. Preferably, this should be determined in prospective series.
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Affiliation(s)
- Mieke C. Zwager
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rico Bense
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stijn Waaijer
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Si-Qi Qiu
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Diagnosis and Treatment Center of Breast Diseases, Clinical Research Center, Shantou Central Hospital, Shantou, China
- Guangdong Provincial Key Laboratory for Breast Cancer Diagnosis and Treatment, Shantou University Medical College, Shantou, China
| | - Hetty Timmer-Bosscha
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Elisabeth G. E. de Vries
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Carolien P. Schröder
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Medical Oncology, Dutch Cancer Institute, Amsterdam, Netherlands
| | - Bert van der Vegt
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700 RB Groningen, The Netherlands
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Lipid Metabolism Heterogeneity and Crosstalk with Mitochondria Functions Drive Breast Cancer Progression and Drug Resistance. Cancers (Basel) 2022; 14:cancers14246267. [PMID: 36551752 PMCID: PMC9776509 DOI: 10.3390/cancers14246267] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
Breast cancer (BC) is a heterogeneous disease that can be triggered by genetic alterations in mammary epithelial cells, leading to diverse disease outcomes in individual patients. The metabolic heterogeneity of BC enhances its ability to adapt to changes in the tumor microenvironment and metabolic stress, but unfavorably affects the patient's therapy response, prognosis and clinical effect. Extrinsic factors from the tumor microenvironment and the intrinsic parameters of cancer cells influence their mitochondrial functions, which consequently alter their lipid metabolism and their ability to proliferate, migrate and survive in a harsh environment. The balanced interplay between mitochondria and fatty acid synthesis or fatty acid oxidation has been attributed to a combination of environmental factors and to the genetic makeup, oncogenic signaling and activities of different transcription factors. Hence, understanding the mechanisms underlying lipid metabolic heterogeneity and alterations in BC is gaining interest as a major target for drug resistance. Here we review the major recent reports on lipid metabolism heterogeneity and bring to light knowledge on the functional contribution of diverse lipid metabolic pathways to breast tumorigenesis and therapy resistance.
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Liu XS, Liu C, Zeng J, Zeng DB, Chen YJ, Tan F, Gao Y, Liu XY, Zhang Y, Zhang YH, Pei ZJ. Nucleophosmin 1 is a prognostic marker of gastrointestinal cancer and is associated with m6A and cuproptosis. Front Pharmacol 2022; 13:1010879. [PMID: 36188614 PMCID: PMC9515486 DOI: 10.3389/fphar.2022.1010879] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 08/29/2022] [Indexed: 11/30/2022] Open
Abstract
Background: NPM1 is highly expressed in a variety of solid tumors and promotes tumor development. However, there are few comprehensive studies on NPM1 analysis in gastrointestinal cancer. Methods: We used bioinformatics tools to study the expression difference of NPM1 between gastrointestinal cancer and control group, and analyzed the relationship between its expression level and the diagnosis, prognosis, functional signaling pathway, immune infiltration, m6A and cuproptosis related genes of gastrointestinal cancer. At the same time, the expression difference of NPM1 between esophageal carcinoma (ESCA) samples and control samples was verified by in vitro experiments. Results: NPM1 was overexpressed in gastrointestinal cancer. In vitro experiments confirmed that the expression of NPM1 in ESCA samples was higher than that in normal samples. The expression of NPM1 has high accuracy in predicting the outcome of gastrointestinal cancer. The expression of NPM1 is closely related to the prognosis of multiple gastrointestinal cancers. Go and KEGG enrichment analysis showed that NPM1 co-expressed genes involved in a variety of biological functions. NPM1 expression is potentially associated with a variety of immune cell infiltration, m6A and cuproptosis related genes in gastrointestinal cancers. Conclusion: NPM1 can be used as a diagnostic and prognostic marker of gastrointestinal cancer, which is related to the immune cell infiltration and the regulation of m6A and cuproptosis.
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Affiliation(s)
- Xu-Sheng Liu
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
- *Correspondence: Xu-Sheng Liu, ; Zhi-Jun Pei,
| | - Chao Liu
- Medical Imaging Center, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Jing Zeng
- Department of Infection Control, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Dao-Bing Zeng
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yi-Jia Chen
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Fan Tan
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yan Gao
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Xiao-Yu Liu
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yu Zhang
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yao-Hua Zhang
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Zhi-Jun Pei
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
- Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
- *Correspondence: Xu-Sheng Liu, ; Zhi-Jun Pei,
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Guo XW, Li SQ, Lei RE, Ding Z, Hu BL, Lin R. Tumor-infiltrating immune cells based TMEscore and related gene signature is associated with the survival of CRC patients and response to fluoropyrimidine-based chemotherapy. Front Oncol 2022; 12:953321. [PMID: 36110947 PMCID: PMC9468757 DOI: 10.3389/fonc.2022.953321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/05/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundTumor-infiltrating immune cells (TIICs) are associated with chemotherapy response. This study aimed to explore the prognostic value of a TIIC-related tumor microenvironment score (TMEscore) in patients with colorectal cancer (CRC) who underwent chemotherapy and construct a TMEscore-related gene signature to determine its predictive value.MethodsGene profiles of patients who underwent fluoropyrimidine-based chemotherapy were collected, and their TIIC fractions were calculated and clustered. Differentially expressed genes (DEGs) between clusters were used to calculate the TMEscore. The association between the TMEscore, chemotherapy response, and survival rate was analyzed. Machine learning methods were used to identify key TMEscore-related genes, and a gene signature was constructed to verify the predictive value.ResultsTwo clusters based on the TIIC fraction were identified, and the TMEscore was calculated based on the DEGs of the two clusters. The TMEscore was higher in patients who responded to chemotherapy than in those who did not, and was associated with the survival rate of patients who underwent chemotherapy. Three machine learning methods, support vector machine (SVM), decision tree (DT), and Extreme Gradient Boosting (XGBoost), identified three TMEscore-related genes (ADH1C, SLC26A2, and NANS) associated with the response to chemotherapy. A TMEscore-related gene signature was constructed, and three external cohorts validated that the gene signature could predict the response to chemotherapy. Five datasets and clinical samples showed that the expression of the three TMEscore-related genes was increased in tumor tissues compared to those in control tissues.ConclusionsThe TIIC-based TMEscore was associated with the survival of CRC patients who underwent fluoropyrimidine-based chemotherapy, and predicted the response to chemotherapy. The TMEscore-related gene signature had a better predictive value for response to chemotherapy than for survival.
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Affiliation(s)
- Xian-Wen Guo
- Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Gastroenterology, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Si-Qi Li
- Department of Research, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Rong-E Lei
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zhen Ding
- Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bang-li Hu
- Department of Research, Guangxi Medical University Cancer Hospital, Nanning, China
- *Correspondence: Bang-li Hu, ; Rong Lin,
| | - Rong Lin
- Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Bang-li Hu, ; Rong Lin,
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Guan X, Lu N, Zhang J. The combined prognostic model of copper-dependent to predict the prognosis of pancreatic cancer. Front Genet 2022; 13:978988. [PMID: 36035166 PMCID: PMC9399350 DOI: 10.3389/fgene.2022.978988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 07/15/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose: To assess the prognostic value of copper-dependent genes, copper-dependent-related genes (CDRG), and CDRG-associated immune-infiltrating cells (CIC) for pancreatic cancer. Methods: CDRG were obtained by single-cell analysis of the GSE156405 dataset in the Gene Expression Omnibus (GEO) database. In a ratio of 7:3, we randomly divided the Cancer Genome Atlas (TCGA) cohort into a training cohort and a test cohort. Tumor samples from the GSE62452 dataset were used as the validation cohort. CIBERSORT was used to obtain the immune cell infiltration. We identified the prognostic CDRG and CIC by Cox regression and the least absolute selection operator (LASSO) method. The clinical significance of these prognostic models was assessed using survival analysis, immunological microenvironment analysis, and drug sensitivity analysis. Results: 536 CDRG were obtained by single-cell sequencing analysis. We discovered that elevated LIPT1 expression was associated with a worse prognosis in pancreatic cancer patients. EPS8, CASC8, TATDN1, NT5E, and LDHA comprised the CDRG-based prognostic model. High infiltration of Macrophages.M2 in pancreatic cancer patients results in poor survival. The combined prognostic model showed great predictive performance, with the area under the curve (AUC) values being basically between 0.7 and 0.9 in all three cohorts. Conclusion: We found a cohort of CDRG and CIC in patients with pancreatic cancer. The combined prognostic model provided new insights into the prognosis and treatment of pancreatic cancer.
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