1
|
Bidooki SH, Navarro MA, Fernandes SCM, Osada J. Thioredoxin Domain Containing 5 (TXNDC5): Friend or Foe? Curr Issues Mol Biol 2024; 46:3134-3163. [PMID: 38666927 PMCID: PMC11049379 DOI: 10.3390/cimb46040197] [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: 03/04/2024] [Revised: 03/25/2024] [Accepted: 03/30/2024] [Indexed: 04/28/2024] Open
Abstract
This review focuses on the thioredoxin domain containing 5 (TXNDC5), also known as endoplasmic reticulum protein 46 (ERp46), a member of the protein disulfide isomerase (PDI) family with a dual role in multiple diseases. TXNDC5 is highly expressed in endothelial cells, fibroblasts, pancreatic β-cells, liver cells, and hypoxic tissues, such as cancer endothelial cells and atherosclerotic plaques. TXNDC5 plays a crucial role in regulating cell proliferation, apoptosis, migration, and antioxidative stress. Its potential significance in cancer warrants further investigation, given the altered and highly adaptable metabolism of tumor cells. It has been reported that both high and low levels of TXNDC5 expression are associated with multiple diseases, such as arthritis, cancer, diabetes, brain diseases, and infections, as well as worse prognoses. TXNDC5 has been attributed to both oncogenic and tumor-suppressive features. It has been concluded that in cancer, TXNDC5 acts as a foe and responds to metabolic and cellular stress signals to promote the survival of tumor cells against apoptosis. Conversely, in normal cells, TXNDC5 acts as a friend to safeguard cells against oxidative and endoplasmic reticulum stress. Therefore, TXNDC5 could serve as a viable biomarker or even a potential pharmacological target.
Collapse
Affiliation(s)
- Seyed Hesamoddin Bidooki
- Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain; (S.H.B.); (M.A.N.)
- Centre National de la Recherche Scientifique (CNRS), Institute of Analytical Sciences and Physico-Chemistry for Environment and Materials (IPREM), Universite de Pau et des Pays de l’Adour, E2S UPPA, 64 000 Pau, France;
- MANTA—Marine Materials Research Group, Universite de Pau et des Pays de l’Adour, E2S UPPA, 64 600 Anglet, France
| | - María A. Navarro
- Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain; (S.H.B.); (M.A.N.)
- Instituto Agroalimentario de Aragón, CITA-Universidad de Zaragoza, E-50013 Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, E-28029 Madrid, Spain
| | - Susana C. M. Fernandes
- Centre National de la Recherche Scientifique (CNRS), Institute of Analytical Sciences and Physico-Chemistry for Environment and Materials (IPREM), Universite de Pau et des Pays de l’Adour, E2S UPPA, 64 000 Pau, France;
- MANTA—Marine Materials Research Group, Universite de Pau et des Pays de l’Adour, E2S UPPA, 64 600 Anglet, France
| | - Jesus Osada
- Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain; (S.H.B.); (M.A.N.)
- Instituto Agroalimentario de Aragón, CITA-Universidad de Zaragoza, E-50013 Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, E-28029 Madrid, Spain
| |
Collapse
|
2
|
Qin S, Jin H, Li Y, Chen X, He J, Xiao J, Qin Y, Liu C, Mao Y, Zhao L. Comprehensive analysis of IGF2BP3 with expression features, prognosis, immune modulation and stemness in hepatocellular carcinoma and pan-cancer. J Cancer 2024; 15:2845-2865. [PMID: 38577615 PMCID: PMC10988304 DOI: 10.7150/jca.92768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/11/2024] [Indexed: 04/06/2024] Open
Abstract
Insulin like growth factor 2 mRNA binding protein 3 (IGF2BP3) is a critical m6A reader. It encodes proteins that contain several KH domains, which are important in RNA binding, RNA synthesis and metabolism. Lots of researches have studied the malignant potential of m6A readers in tumors. However, the biological functional analysis of IGF2BP3 in hepatocellular carcinoma (HCC) and pan-cancer is not comprehensive. In this study, we used a bioinformatics approach to comprehensively analyze the significance of IGF2BP3 in HCC through analyzing its expression, mutation, prognosis, protein-protein interaction (PPI) network, functional enrichment, and the correlation with ferroptosis, stemness as well as immune modulation in HCC. IGF2BP3 presented a negative correlation with the ferroptosis molecule NFE2L2, and a positive correlation with the ferroptosis molecule SLC1A5 as well as the immune checkpoint HAVCR2. In addition, we also analyzed IGF2BP3 expression, prognosis and immune modulation in pan-cancer, revealing the prognostic value of IGF2BP3 in a variety of tumors. Finally, we verified the biological functions of IGF2BP3 in HCC through various experiments. The data showed that IGF2BP3 may enhance the proliferation, colony formation and invasion capacities of HCC cells, and IGF2BP3 is mainly positively correlated with the expression level of stemness marker SOX2. In conclusion, IGF2BP3 had a potential to be a new perspective biomarker in forecasting the immune response, ferroptosis, stemness and prognosis of HCC or even pan-cancer.
Collapse
Affiliation(s)
- Sha Qin
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China; and Department of Pathology, School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Haoer Jin
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China; and Department of Pathology, School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Yan Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China; and Department of Pathology, School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Xue Chen
- Early Clinical Trial Center, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Jiang He
- Center for Molecular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Juxiong Xiao
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yan Qin
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chuyi Liu
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, Hunan, China
| | - Yitao Mao
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Luqing Zhao
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China; and Department of Pathology, School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| |
Collapse
|
3
|
Kerkhove L, Geirnaert F, Dufait I, De Ridder M. Ferroptosis: Frenemy of Radiotherapy. Int J Mol Sci 2024; 25:3641. [PMID: 38612455 PMCID: PMC11011408 DOI: 10.3390/ijms25073641] [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: 01/31/2024] [Revised: 03/11/2024] [Accepted: 03/15/2024] [Indexed: 04/14/2024] Open
Abstract
Recently, it was established that ferroptosis, a type of iron-dependent regulated cell death, plays a prominent role in radiotherapy-triggered cell death. Accordingly, ferroptosis inducers attracted a lot of interest as potential radio-synergizing drugs, ultimately enhancing radioresponses and patient outcomes. Nevertheless, the tumor microenvironment seems to have a major impact on ferroptosis induction. The influence of hypoxic conditions is an area of interest, as it remains the principal hurdle in the field of radiotherapy. In this review, we focus on the implications of hypoxic conditions on ferroptosis, contemplating the plausibility of using ferroptosis inducers as clinical radiosensitizers. Furthermore, we dive into the prospects of drug repurposing in the domain of ferroptosis inducers and radiosensitizers. Lastly, the potential adverse effects of ferroptosis inducers on normal tissue were discussed in detail. This review will provide an important framework for subsequent ferroptosis research, ascertaining the feasibility of ferroptosis inducers as clinical radiosensitizers.
Collapse
Affiliation(s)
| | | | | | - Mark De Ridder
- Department of Radiotherapy, UZ Brussel, Vrije Universiteit Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium; (L.K.); (F.G.); (I.D.)
| |
Collapse
|
4
|
Lei M, Zhang YL, Huang FY, Chen HY, Chen MH, Wu RH, Dai SZ, He GS, Tan GH, Zheng WP. Gankyrin inhibits ferroptosis through the p53/SLC7A11/GPX4 axis in triple-negative breast cancer cells. Sci Rep 2023; 13:21916. [PMID: 38081931 PMCID: PMC10713534 DOI: 10.1038/s41598-023-49136-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 12/04/2023] [Indexed: 12/18/2023] Open
Abstract
Gankyrin is found in high levels in triple-negative breast cancer (TNBC) and has been established to form a complex with the E3 ubiquitin ligase MDM2 and p53, resulting in the degradation of p53 in hepatocarcinoma cells. Therefore, this study sought to determine whether gankyrin could inhibit ferroptosis through this mechanism in TNBC cells. The expression of gankyrin was investigated in relation to the prognosis of TNBC using bioinformatics. Co-immunoprecipitation and GST pull-down assays were then conducted to determine the presence of a gankyrin and MDM2 complex. RT-qPCR and immunoblotting were used to examine molecules related to ferroptosis, such as gankyrin, p53, MDM2, SLC7A11, and GPX4. Additionally, cell death was evaluated using flow cytometry detection of 7-AAD and a lactate dehydrogenase release assay, as well as lipid peroxide C11-BODIPY. Results showed that the expression of gankyrin is significantly higher in TNBC tissues and cell lines, and is associated with a poor prognosis for patients. Subsequent studies revealed that inhibiting gankyrin activity triggered ferroptosis in TNBC cells. Additionally, silencing gankyrin caused an increase in the expression of the p53 protein, without altering its mRNA expression. Co-immunoprecipitation and GST pull-down experiments indicated that gankyrin and MDM2 form a complex. In mouse embryonic fibroblasts lacking both MDM2 and p53, this gankyrin/MDM2 complex was observed to ubiquitinate p53, thus raising the expression of molecules inhibited by ferroptosis, such as SLC7A11 and GPX4. Furthermore, silencing gankyrin in TNBC cells disrupted the formation of the gankyrin/MDM2 complex, hindered the degradation of p53, increased SLC7A11 expression, impeded cysteine uptake, and decreased GPX4 production. Our findings suggest that TNBC cells are able to prevent cell ferroptosis through the gankyrin/p53/SLC7A11/GPX4 signaling pathway, indicating that gankyrin may be a useful biomarker for predicting TNBC prognosis or a potential therapeutic target.
Collapse
Affiliation(s)
- Ming Lei
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital, Hainan Medical University, Haikou, 570311, China
- Key Laboratory of Tropical Translational Medicine of Ministry of Education & School of Tropical Medicine, Hainan Medical University, Haikou, 571199, China
| | - Yun-Long Zhang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education & School of Tropical Medicine, Hainan Medical University, Haikou, 571199, China
| | - Feng-Ying Huang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education & School of Tropical Medicine, Hainan Medical University, Haikou, 571199, China
| | - Heng-Yu Chen
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital, Hainan Medical University, Haikou, 570311, China
| | - Ming-Hui Chen
- Key Laboratory of Tropical Translational Medicine of Ministry of Education & School of Tropical Medicine, Hainan Medical University, Haikou, 571199, China
| | - Ri-Hong Wu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education & School of Tropical Medicine, Hainan Medical University, Haikou, 571199, China
| | - Shu-Zhen Dai
- Key Laboratory of Tropical Translational Medicine of Ministry of Education & School of Tropical Medicine, Hainan Medical University, Haikou, 571199, China
| | - Gui-Sheng He
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital, Hainan Medical University, Haikou, 570311, China.
| | - Guang-Hong Tan
- Key Laboratory of Tropical Translational Medicine of Ministry of Education & School of Tropical Medicine, Hainan Medical University, Haikou, 571199, China.
| | - Wu-Ping Zheng
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital, Hainan Medical University, Haikou, 570311, China.
| |
Collapse
|
5
|
Cheng TC, Wu JH, Zhu B, Gao HY, Zheng L, Chen WX. Identification of a novel five ferroptosis-related gene signature as a promising prognostic model for breast cancer. J Cancer Res Clin Oncol 2023; 149:16779-16795. [PMID: 37728703 PMCID: PMC10645672 DOI: 10.1007/s00432-023-05423-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 09/12/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND Breast cancer (BCa) is a major challenge for women's health worldwide. Ferroptosis is closely related to tumorigenesis and cancer progression. However, the prognostic value of ferroptosis-related genes in BCa remains unclear, and more accurate prognostic models are urgently needed. METHODS Gene expression profiles and clinical information of BCa patients were collected from public databases. LASSO and multivariate Cox regression analysis were utilized to construct the prognostic gene signature. Kaplan-Meier plotter, receiver operating characteristic (ROC) curves, and nomogram were used to validate the prognostic value of the gene signature. Gene set enrichment analysis was performed to explore the molecular functions and signaling pathways. RESULTS Differentially expressed ferroptosis-related genes between BCa samples and normal tissues were obtained. A novel five-gene signature including BCL2, SLC40A1, TFF1, APOOL, and PRAME was established for prognosis prediction. Patients stratified into high-risk or low-risk group displayed significantly different survival. Kaplan-Meier and ROC curves showed a good performance for survival prediction in different cohorts. Biological function analysis revealed that the five-gene signature was associated with cancer progression, immune infiltration, immune response, and drug resistance. Nomogram including the five-gene signature was established. CONCLUSION A novel five ferroptosis-related gene signature and nomogram could be used for prognostic prediction in BCa.
Collapse
Affiliation(s)
- Tian- Cheng Cheng
- Department of Breast Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, 29 Xinglongxiang, Changzhou, 213000, Jiangsu Province, China
- Graduate School, Bengbu Medical College, Bengbu, 233000, Anhui Province, China
| | - Jia-Hao Wu
- Department of Breast Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, 29 Xinglongxiang, Changzhou, 213000, Jiangsu Province, China
- Graduate School, Dalian Medical University, Dalian, 116000, Liaoning Province, China
| | - Bei Zhu
- Department of Breast Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, 29 Xinglongxiang, Changzhou, 213000, Jiangsu Province, China
| | - Hai-Yan Gao
- Department of Breast Surgery, The Affiliated Changzhou Tumor Hospital of Soochow University, Changzhou, 213000, Jiangsu Province, China
| | - Lin Zheng
- Department of Breast Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, 29 Xinglongxiang, Changzhou, 213000, Jiangsu Province, China.
| | - Wei-Xian Chen
- Department of Breast Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, 29 Xinglongxiang, Changzhou, 213000, Jiangsu Province, China.
- Post-Doctoral Working Station, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, ChangzhouJiangsu Province, 213000, China.
| |
Collapse
|
6
|
Wan Q, Ren X, Wei R, Yue S, Wang L, Yin H, Tang J, Zhang M, Ma K, Deng YP. Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients. Biol Proced Online 2023; 25:15. [PMID: 37268878 DOI: 10.1186/s12575-023-00207-0] [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: 03/07/2023] [Accepted: 05/15/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND Deep learning has been extensively used in digital histopathology. The purpose of this study was to test deep learning (DL) algorithms for predicting the vital status of whole-slide image (WSI) of uveal melanoma (UM). METHODS We developed a deep learning model (Google-net) to predict the vital status of UM patients from histopathological images in TCGA-UVM cohort and validated it in an internal cohort. The histopathological DL features extracted from the model and then were applied to classify UM patients into two subtypes. The differences between two subtypes in clinical outcomes, tumor mutation, and microenvironment, and probability of drug therapeutic response were investigated further. RESULTS We observed that the developed DL model can achieve a high accuracy of > = 90% for patches and WSIs prediction. Using 14 histopathological DL features, we successfully classified UM patients into Cluster1 and Cluster2 subtypes. Compared to Cluster2, patients in the Cluster1 subtype have a poor survival outcome, increased expression levels of immune-checkpoint genes, higher immune-infiltration of CD8 + T cell and CD4 + T cells, and more sensitivity to anti-PD-1 therapy. Besides, we established and verified prognostic histopathological DL-signature and gene-signature which outperformed the traditional clinical features. Finally, a well-performed nomogram combining the DL-signature and gene-signature was constructed to predict the mortality of UM patients. CONCLUSIONS Our findings suggest that DL model can accurately predict vital status in UM patents just using histopathological images. We found out two subgroups based on histopathological DL features, which may in favor of immunotherapy and chemotherapy. Finally, a well-performing nomogram that combines DL-signature and gene-signature was constructed to give a more straightforward and reliable prognosis for UM patients in treatment and management.
Collapse
Affiliation(s)
- Qi Wan
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Xiang Ren
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Ran Wei
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Shali Yue
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Lixiang Wang
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Hongbo Yin
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Jing Tang
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Ming Zhang
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Ke Ma
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
| | - Ying-Ping Deng
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
| |
Collapse
|
7
|
Adinew GM, Messeha SS, Taka E, Badisa RB, Soliman KFA. Anticancer Effects of Thymoquinone through the Antioxidant Activity, Upregulation of Nrf2, and Downregulation of PD-L1 in Triple-Negative Breast Cancer Cells. Nutrients 2022; 14:nu14224787. [PMID: 36432484 PMCID: PMC9695946 DOI: 10.3390/nu14224787] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 11/04/2022] [Accepted: 11/11/2022] [Indexed: 11/16/2022] Open
Abstract
The variety of therapies available for treating and preventing triple-negative breast cancer (TNBC) is constrained by the absence of progesterone receptors, estrogen receptors, and human epidermal growth factor receptor 2. Nrf2 (nuclear factor-erythroid 2-related factor), and PD-L1 (program cell death ligand 1), a downstream signaling target, have a strong correlation to oxidative stress and inflammation, major factors in the development and progression of TNBC. In this study, the genetically distinct MDA-MB-231 and MDA-MB-468 TNBC cells were treated with the natural component thymoquinone (TQ). The results show that TQ exhibits considerable antioxidant activity and decreases the generation of H2O2, at the same time increasing catalase (CAT) activity, superoxide dismutase (SOD) enzyme, and glutathione (GSH). Additionally, the results show that TQ treatment increased the levels of the different genes involved in the oxidative stress-antioxidant defense system PRNP, NQO1, and GCLM in both cell lines with significant large-fold change in MDA-MB-468 cells (+157.65 vs. +1.7, +48.87 vs. +2.63 and +4.78 vs. +2.17), respectively. Nrf2 mRNA and protein expression were also significantly increased in TQ-treated TNBC cells despite being higher in MDA-MB-468 cells (6.67 vs. 4.06). Meanwhile, TQ administration increased mRNA levels while decreasing PD-L1 protein expression in both cell lines. In conclusion, TQ modifies the expression of multiple oxidative-stress-antioxidant system genes, ROS, antioxidant enzymes, Nrf2, and PD-L1 protein, pointing to the therapeutic potential and chemopreventive utilization of TQ in TNBC.
Collapse
|