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Nishigaki A, Ishida M, Tsubokura H, Hisamatsu Y, Hirose Y, Okada H. HIF-1α Promotes Luteinization via NDRG1 Induction in the Human Ovary. Biomedicines 2025; 13:328. [PMID: 40002742 PMCID: PMC11852844 DOI: 10.3390/biomedicines13020328] [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: 12/09/2024] [Revised: 01/22/2025] [Accepted: 01/28/2025] [Indexed: 02/27/2025] Open
Abstract
Background/Objectives: Hypoxia-inducible factor-1α (HIF-1α) is a transcription factor that plays a crucial role in various physiological and pathological processes of the ovary. However, the timing of HIF-1α expression and its specific biological function in the follicular development of the human ovary remain unclear. Therefore, in this study, we aimed to examine whether HIF-1α and its downstream gene, N-myc downstream-regulated gene 1 (NDRG1), exhibit stage-specific expression during the follicular development process in the human ovary. Methods: We used ovarian tissues from eight women with regular menstrual cycles who were not undergoing hormonal treatment. We investigated HIF-1α and NDRG1 expression and localization using immunohistochemistry. Further, we transfected human ovarian granulosa (KGN) cells with HIF-1α small interfering RNA (siRNA) to investigate the influence of HIF-1α on NDRG1 expression and progesterone synthesis. Results: The immunohistochemical analysis of human ovarian tissues revealed that HIF-1α was localized in the cytoplasm of granulosa cells (GCs) at both the primary and secondary follicular stages. Conversely, in tertiary and later developmental stages, HIF-1α was observed exclusively in the nucleus of GCs. Furthermore, while NDRG1 was not detected in primary follicles, it was present in all GCs beyond the tertiary stage. Notably, transfection of KGN cells with HIF-1α siRNA significantly decreased NDRG1 expression, at both the mRNA and protein levels, and in progesterone synthesis. Conclusion: Our results indicate that HIF-1α and NDRG1 are integral to follicular development and the early luteinization of pre-ovulatory follicles.
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Affiliation(s)
- Akemi Nishigaki
- Department of Obstetrics and Gynecology, Kansai Medical University, Hirakata 573-1191, Osaka, Japan; (A.N.); (H.T.); (Y.H.); (H.O.)
| | - Mitsuaki Ishida
- Department of Pathology, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Osaka, Japan;
| | - Hiroaki Tsubokura
- Department of Obstetrics and Gynecology, Kansai Medical University, Hirakata 573-1191, Osaka, Japan; (A.N.); (H.T.); (Y.H.); (H.O.)
| | - Yoji Hisamatsu
- Department of Obstetrics and Gynecology, Kansai Medical University, Hirakata 573-1191, Osaka, Japan; (A.N.); (H.T.); (Y.H.); (H.O.)
| | - Yoshinobu Hirose
- Department of Pathology, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Osaka, Japan;
| | - Hidetaka Okada
- Department of Obstetrics and Gynecology, Kansai Medical University, Hirakata 573-1191, Osaka, Japan; (A.N.); (H.T.); (Y.H.); (H.O.)
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2
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Fischer J, Eglinton TW, Richards SJ, Frizelle FA. Predicting pathological response to chemoradiotherapy for rectal cancer: a systematic review. Expert Rev Anticancer Ther 2021; 21:489-500. [PMID: 33356679 DOI: 10.1080/14737140.2021.1868992] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Introduction: Pathological complete response (pCR) rates of approximately 20% following neoadjuvant long-course chemoradiotherapy for rectal cancer have given rise to non-operative or watch-and-wait (W&W) management. To improve outcomes there has been significant research into predictors of response. The goal is to optimize selection for W&W, avoid chemoradiotherapy in those who won't benefit and improve treatment to maximize the clinical complete response (cCR) rate and the number of patients who can be considered for W&W.Areas covered: A systematic review of articles published 2008-2018 and indexed in PubMed, Embase or Medline was performed to identify predictors of pathological response (including pCR and recognized tumor regression grades) to fluoropyrimidine-based chemoradiotherapy in patients who underwent total mesorectal excision for rectal cancer. Evidence for clinical, biomarker and radiological predictors is discussed as well as potential future directions.Expert opinion: Our current ability to predict the response to chemoradiotherapy for rectal cancer is very limited. cCR of 40% has been achieved with total neoadjuvant therapy. If neoadjuvant treatment for rectal cancer continues to improve it is possible that the treatment for rectal cancer may eventually parallel that of anal squamous cell carcinoma, with surgery reserved for the minority of patients who don't respond to chemoradiotherapy.
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Affiliation(s)
- Jesse Fischer
- Department of Surgery, University of Otago, Christchurch, New Zealand.,Department of General Surgery, North Shore Hospital, Auckland, New Zealand
| | - Tim W Eglinton
- Department of Surgery, University of Otago, Christchurch, New Zealand.,Department of General Surgery, Christchurch Hospital, Christchurch, New Zealand
| | - Simon Jg Richards
- Department of Surgery, University of Otago, Christchurch, New Zealand.,Department of General Surgery, The Royal Melbourne Hospital, Melbourne, Australia
| | - Frank A Frizelle
- Department of Surgery, University of Otago, Christchurch, New Zealand.,Department of General Surgery, Christchurch Hospital, Christchurch, New Zealand
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3
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Angiogenic regeneration defines loco-regional recurrence following pre-operative radio-chemotherapy for rectal cancer: a pilot study. Mol Biol Rep 2019; 46:2147-2152. [DOI: 10.1007/s11033-019-04668-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 01/31/2019] [Indexed: 12/16/2022]
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4
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Koukourakis MI, Giatromanolaki A. Warburg effect, lactate dehydrogenase, and radio/chemo-therapy efficacy. Int J Radiat Biol 2018; 95:408-426. [PMID: 29913092 DOI: 10.1080/09553002.2018.1490041] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The anaerobic metabolism of glucose by cancer cells, even under well-oxygenated conditions, has been documented by Otto Warburg as early as 1927. Micro-environmental hypoxia and intracellular pathways activating the hypoxia-related gene response, shift cancer cell metabolism to anaerobic pathways. In the current review, we focus on a major enzyme involved in anaerobic transformation of pyruvate to lactate, namely lactate dehydrogenase 5 (LDH5). The value of LDH5 as a marker of prognosis of cancer patients, as a predictor of response to radiotherapy (RT) and chemotherapy and, finally, as a major target for cancer treatment and radio-sensitization is reported and discussed. Clinical, translational and experimental data supporting the uniqueness of the LDHA gene and its product LDH5 isoenzyme are summarized and future directions for a metabolic treatment of cancer are highlighted.
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Affiliation(s)
- Michael I Koukourakis
- a Department of Radiotherapy and Oncology, Medical School, Democritus University of Thrace , Alexandroupolis , Greece
| | - Alexandra Giatromanolaki
- b Department of Pathology , Medical School, Democritus University of Thrace , Alexandroupolis , Greece
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5
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Santos MD, Silva C, Rocha A, Nogueira C, Castro-Poças F, Araujo A, Matos E, Pereira C, Medeiros R, Lopes C. Predictive clinical model of tumor response after chemoradiation in rectal cancer. Oncotarget 2017; 8:58133-58151. [PMID: 28938543 PMCID: PMC5601639 DOI: 10.18632/oncotarget.19651] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2017] [Accepted: 07/18/2017] [Indexed: 12/25/2022] Open
Abstract
Survival improvement in rectal cancer treated with neoadjuvant chemoradiotherapy (nCRT) is achieved only if pathological response occurs. Mandard tumor regression grade (TRG) proved to be a valid system to measure nCRT response. The ability to predict tumor response before treatment may significantly have impact the selection of patients for nCRT in rectal cancer. The aim is to identify potential predictive pretreatment factors for Mandard response and build a clinical predictive model design. 167 patients with locally advanced rectal cancer were treated with nCRT and curative surgery. Blood cell counts in peripheral blood were analyzed. Pretreatment biopsies expression of cyclin D1, epidermal growth factor receptor (EGFR), vascular endothelial growth factor (VEGF) and protein 21 were assessed. A total of 61 single nucleotide polymorphisms were characterized using the Sequenom platform through multiplex amplification followed by mass-spectometric product separation. Surgical specimens were classified according to Mandard TRG. The patients were divided as: "good responders" (Mandard TRG1-2) and "poor responders" (Mandard TGR3-5). We examined predictive factors for Mandard response and performed statistical analysis. In univariate analysis, distance from anal verge, neutrophil lymphocyte ratio (NLR), cyclin D1, VEGF, EGFR, protein 21 and rs1810871 interleukin 10 (IL10) gene polymorphism are the pretreatment variables with predictive value for Mandard response. In multivariable analysis, NLR, cyclin D1, protein 21 and rs1800871 in IL10 gene maintain predictive value, allowing a clinical model design. CONCLUSION It seems possible to use pretreatment expression of blood and tissue biomarkers, and build a model of tumor response prediction to neoadjuvant chemoradiation in rectal cancer.
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Affiliation(s)
- Marisa D Santos
- Department of Surgery, Digestive Surgery Service, Hospital Center of Porto, Porto, Portugal.,Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal
| | - Cristina Silva
- Department of Surgery, Digestive Surgery Service, Hospital Center of Porto, Porto, Portugal.,Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal
| | - Anabela Rocha
- Department of Surgery, Digestive Surgery Service, Hospital Center of Porto, Porto, Portugal.,Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal
| | - Carlos Nogueira
- Department of Surgery, Digestive Surgery Service, Hospital Center of Porto, Porto, Portugal.,Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal
| | - Fernando Castro-Poças
- Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal.,Gastroenterology Service, Hospital Center of Porto, Porto, Portugal
| | - António Araujo
- Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal.,Service of Medical Oncology, Hospital Center of Porto, Porto, Portugal
| | - Eduarda Matos
- Department of Health Community, Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal
| | - Carina Pereira
- Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal.,Molecular Oncology and Viral Pathology Group, IPO Research Center, Portuguese Oncologic Institute, Porto, Portugal.,Research Department, Portuguese League Against Cancer, Porto, Portugal
| | - Rui Medeiros
- Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal.,Molecular Oncology and Viral Pathology Group, IPO Research Center, Portuguese Oncologic Institute, Porto, Portugal.,Research Department, Portuguese League Against Cancer, Porto, Portugal.,CEBIMED, Faculty of Health Sciences of Fernando Pessoa, University of Porto, Porto, Portugal
| | - Carlos Lopes
- Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal.,Department of Pathology, Pathological Anatomy Service, Hospital Center of Porto, Porto, Portugal.,Department of Pathology and Molecular Immunology, Abel Salazar Biomedical Science Institute, University of Porto, Porto, Portugal
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Yang T, Yao Q, Cao F, Liu Q, Liu B, Wang XH. Silver nanoparticles inhibit the function of hypoxia-inducible factor-1 and target genes: insight into the cytotoxicity and antiangiogenesis. Int J Nanomedicine 2016; 11:6679-6692. [PMID: 27994464 PMCID: PMC5154724 DOI: 10.2147/ijn.s109695] [Citation(s) in RCA: 65] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Hypoxia-inducible factor-1 (HIF-1) is a transcription factor that is activated upon exposure to hypoxic stress. It modulates a number of cellular responses including proliferation, apoptosis, angiogenesis, and metabolism by activating a panel of target genes in response to hypoxia. The HIF-1 level is often upregulated in the hypoxic microenvironment of solid tumors, which contributes to cancer treatment failure. Here we report that silver nanoparticles (AgNPs), which are widely used as an antimicrobial agent, are an effective inhibitor of HIF-1. AgNPs inhibited the activation of a HIF-dependent reporter construct after the cells were exposed to hypoxic conditions or treated with cobalt chloride, a hypoxia mimetic agent. The AgNPs also interfered with the accumulation of HIF-1α protein and the induction of the endogenous HIF target genes, VEGF-A and GLUT1. Since both HIF-1 and vascular endothelial growth factor-A play an important role in angiogenesis, AgNPs also inhibited angiogenesis in vitro. Our data reveal a new mechanism of how AgNPs act on cellular function, that is, they disrupt HIF signaling pathway. This finding provides a novel insight into how AgNPs can inhibit cancer cell growth and angiogenesis.
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Affiliation(s)
- Tieshan Yang
- Laboratory for Biomedical Photonics, Institute of Laser Engineering, Beijing University of Technology
| | - Qian Yao
- Laboratory for Biomedical Photonics, Institute of Laser Engineering, Beijing University of Technology
| | - Fei Cao
- Laboratory for Biomedical Photonics, Institute of Laser Engineering, Beijing University of Technology
| | - Qianqian Liu
- Laboratory for Biomedical Photonics, Institute of Laser Engineering, Beijing University of Technology
| | - Binlei Liu
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Xiu-Hong Wang
- Laboratory for Biomedical Photonics, Institute of Laser Engineering, Beijing University of Technology
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Kim NK, Hur H. New Perspectives on Predictive Biomarkers of Tumor Response and Their Clinical Application in Preoperative Chemoradiation Therapy for Rectal Cancer. Yonsei Med J 2015; 56:1461-77. [PMID: 26446626 PMCID: PMC4630032 DOI: 10.3349/ymj.2015.56.6.1461] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Indexed: 12/14/2022] Open
Abstract
Preoperative chemoradiation therapy (CRT) is the standard treatment for patients with locally advanced rectal cancer (LARC) and can improve local control and survival outcomes. However, the responses of individual tumors to CRT are not uniform and vary widely, from complete response to disease progression. Patients with resistant tumors can be exposed to irradiation and chemotherapy that are both expensive and at times toxic without benefit. In contrast, about 60% of tumors show tumor regression and T and N down-staging. Furthermore, a pathologic complete response (pCR), which is characterized by sterilization of all tumor cells, leads to an excellent prognosis and is observed in approximately 10-30% of cases. This variety in tumor response has lead to an increased need to develop a model predictive of responses to CRT in order to identify patients who will benefit from this multimodal treatment. Endoscopy, magnetic resonance imaging, positron emission tomography, serum carcinoembryonic antigen, and molecular biomarkers analyzed using immunohistochemistry and gene expression profiling are the most commonly used predictive models in preoperative CRT. Such modalities guide clinicians in choosing the best possible treatment options and the extent of surgery for each individual patient. However, there are still controversies regarding study outcomes, and a nomogram of combined models of future trends is needed to better predict patient response. The aim of this article was to review currently available tools for predicting tumor response after preoperative CRT in rectal cancer and to explore their applicability in clinical practice for tailored treatment.
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Affiliation(s)
- Nam Kyu Kim
- Division of Colorectal Surgery, Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
| | - Hyuk Hur
- Division of Colorectal Surgery, Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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8
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Abdou AG, Eldien MMS, Elsakka D. GLUT-1 Expression in Cutaneous Basal and Squamous Cell Carcinomas. Int J Surg Pathol 2015; 23:447-53. [PMID: 26092229 DOI: 10.1177/1066896915589968] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Glucose uptake is a key regulating step in glucose metabolism and is mediated by facilitative glucose transporters (GLUTs), and GLUT-1 is the predominant glucose transporter in many types of human cells. Cutaneous basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) represent the most common skin cancer in Egypt. The present study aimed at evaluation of the pattern and distribution of GLUT-1 in cutaneous BCC (16 cases) and SCC (16 cases) by means of immunohistochemistry. GLUT-1 was expressed in all SCC (100%) and in 62.5% of BCC. Membranous pattern of GLUT-1 was seen in 62.5% of SCC and 31.25% of BCC. Positivity (P = .02) and percentage (P = .000) of GLUT-1 expression were in favor of SCC in comparison to BCC. The high percentage of GLUT-1 expression was associated with high grade in SCC (P = .03). The immunoreactivity for GLUT-1 was more in the periphery of malignant nests of SCC while it was more in the center of BCC nests. GLUT-1 is overexpressed in cutaneous non-melanoma skin cancer. Its expression in SCC is related to differentiation status, and its expression in BCC is intimately associated with squamous metaplastic areas.
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9
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Meng X, Huang Z, Wang R, Yu J. Prediction of response to preoperative chemoradiotherapy in patients with locally advanced rectal cancer. Biosci Trends 2014; 8:11-23. [PMID: 24647108 DOI: 10.5582/bst.8.11] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Preoperative chemoradiotherapy (CRT) combined with surgery has become a standard treatment strategy for patients with locally advanced rectal cancer (LARC). The pathological response is an important prognostic factor for LARC. The variety of tumor responses has increased the need to find a useful predictive model for the response to CRT to identify patients who will really benefit from this multimodal treatment. Magnetic resonance imaging (MRI), positron emission tomography-computed tomography (PET-CT), serum carcinoembryogenic antigen (CEA), molecular biomarkers analyzed by immunohistochemistry and gene expression profiling are the most used predictive models in LARC. The majority of predictors have yielded encouraging results, but there is still controversy. Diffusion-weighted MRI may be the best model to detect the dynamic changes of rectal cancer and predict the response at an early stage. Gene expression profiling and single nucleotide polymorphisms hold considerable promise to unveil the underlying complex genetics of response to CRT. Because each parameter has its own inherent shortcomings, combined models may be the future trend to predict the response.
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Affiliation(s)
- Xiangjiao Meng
- Department of Radiation Oncology and Key Laboratory of Radiation Oncology of Shandong Province, Department of Radiation Oncology of Shandong Cancer Hospital and Institute
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