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Ding Q, Guo A, Zhang S, Gu C, Wang X, Li X, Gu M, Kim JS. Phototheranostics: An advanced approach for precise diagnosis and treatment of gynecological inflammation and tumors. Biomaterials 2025; 316:123012. [PMID: 39693783 DOI: 10.1016/j.biomaterials.2024.123012] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 11/24/2024] [Accepted: 12/13/2024] [Indexed: 12/20/2024]
Abstract
Gynecological inflammations have a significant impact on the daily lives of women. Meanwhile, cancers such as ovarian, cervical, and endometrial cancers pose severe threats to their physical and mental well-being. While current options such as conventional pharmacotherapy, surgical interventions, and recent advancements in immunotherapy and targeted therapy provide viable solutions, they possess limitations in effectively addressing the intricacies associated with gynecological diseases. These complexities include post-surgical complications, early cancer detection, and drug resistance. The management of these challenges, however, requires the implementation of innovative treatment modalities. Phototheranostics has emerged as a promising approach to effectively address these challenges. It not only treats inflammation and tumors efficiently but also aids in disease imaging and diagnosis. The distinguishing features of phototheranostics lie in their non-invasive nature, minimal risk of drug resistance, and precise targeting capabilities through the use of photosensitizers or photothermal agents. These distinctive features underscore its potential to revolutionize early diagnosis and treatment of gynecological conditions. This review aims to summarize the application of phototheranostics in managing gynecological inflammation and tumors while highlighting its significant potential for early disease detection and treatment.
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Affiliation(s)
- Qihang Ding
- Department of Gynecology, Renmin Hospital of Wuhan University, Wuhan, 430072, China; Department of Chemistry, Korea University, Seoul, 02841, South Korea; Ministry of Education Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430071, China
| | - Aoxue Guo
- Department of Gynecology, Renmin Hospital of Wuhan University, Wuhan, 430072, China
| | - Shuai Zhang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, 150 Haping Road Nangang District, Harbin, Heilongjiang Province, 150040, China
| | - Chuanqi Gu
- Department of Gynecology, Renmin Hospital of Wuhan University, Wuhan, 430072, China
| | - Xinyu Wang
- Department of Gynecology, Renmin Hospital of Wuhan University, Wuhan, 430072, China
| | - Xin Li
- Department of Gynecology, Renmin Hospital of Wuhan University, Wuhan, 430072, China.
| | - Meijia Gu
- Department of Gynecology, Renmin Hospital of Wuhan University, Wuhan, 430072, China; Ministry of Education Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430071, China; Hubei International Science and Technology Cooperation Base for Research and Clinical techniques for Brain Glioma Diagnosis and Treatment, Wuhan, 430071, China
| | - Jong Seung Kim
- Department of Chemistry, Korea University, Seoul, 02841, South Korea.
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Wang S, Chen J, Li H, Qi X, Liu X, Guo X. Metabolomic Detection Between Pancreatic Cancer and Liver Metastasis Nude Mouse Models Constructed by Using the PANC1-KAI1/CD 82 Cell Line. Technol Cancer Res Treat 2021; 20:15330338211045204. [PMID: 34605330 PMCID: PMC8493323 DOI: 10.1177/15330338211045204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 08/20/2021] [Indexed: 02/05/2023] Open
Abstract
Background: Pancreatic cancer (PC) has a poor prognosis and is prone to liver metastasis. The KAI1/CD82 gene inhibits PC metastasis. This study aimed to explore differential metabolites and enrich the pathways in serum samples between PC and liver metastasis nude mouse models stably expressing KAI1/CD82. Methods: KAI1/CD82-PLV-EF1α-MCS-IRES-Puro vector and PANC1 cell line stably expressing KAI1/CD82 were constructed for the first time. This cell line was used to construct 3 PC nude mouse models and 3 liver metastasis nude mouse models. The different metabolites and Kyoto encyclopedia of genes and genomes (KEGG) and human metabolome database (HMDB) enrichment pathways were analyzed using the serum samples of the 2 groups of nude mouse models on the basis of untargeted ultra-performance liquid chromatography-tandem mass spectrometry platform. Results: KAI1/CD82-PLV-EF1α-MCS-IRES-Puro vector and PANC1 cell line stably expressing KAI1/CD82 were constructed successfully, and all nude mouse models survived and developed cancers. Among the 1233 metabolites detected, 18 metabolites (9 upregulated and 9 downregulated) showed differences. In agreement with the literature data, the most significant differences between both groups were found in the levels of bile acids (taurocholic acid, chenodeoxycholic acid), glycine, prostaglandin E2, vitamin D, guanosine monophosphate, and inosine. Bile recreation, primary bile acid biosynthesis, and purine metabolism KEGG pathways and a series of HMDB pathways (P < .05) contained differential metabolites that may be associated with liver metastasis from PC. However, the importance of these metabolites on PC liver metastases remains to be elucidated. Conclusions: Our findings suggested that the metabolomic approach may be a useful method to detect potential biomarkers in PC.
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Affiliation(s)
- Shuo Wang
- General Hospital of Northern Theater Command of China Medical University, Shenyang, Liaoning Province, P.R. China
| | - Jiang Chen
- General Hospital of Northern Theater Command of China Medical University, Shenyang, Liaoning Province, P.R. China
| | - Hongyu Li
- General Hospital of Northern Theater Command of China Medical University, Shenyang, Liaoning Province, P.R. China
| | - Xingshun Qi
- General Hospital of Northern Theater Command of China Medical University, Shenyang, Liaoning Province, P.R. China
| | - Xu Liu
- General Hospital of Northern Theater Command of China Medical University, Shenyang, Liaoning Province, P.R. China
| | - Xiaozhong Guo
- General Hospital of Northern Theater Command of China Medical University, Shenyang, Liaoning Province, P.R. China
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Espedal H, Fonnes T, Fasmer KE, Krakstad C, Haldorsen IS. Imaging of Preclinical Endometrial Cancer Models for Monitoring Tumor Progression and Response to Targeted Therapy. Cancers (Basel) 2019; 11:cancers11121885. [PMID: 31783595 PMCID: PMC6966645 DOI: 10.3390/cancers11121885] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 11/22/2019] [Accepted: 11/25/2019] [Indexed: 12/11/2022] Open
Abstract
Endometrial cancer is the most common gynecologic malignancy in industrialized countries. Most patients are cured by surgery; however, about 15% of the patients develop recurrence with limited treatment options. Patient-derived tumor xenograft (PDX) mouse models represent useful tools for preclinical evaluation of new therapies and biomarker identification. Preclinical imaging by magnetic resonance imaging (MRI), positron emission tomography-computed tomography (PET-CT), single-photon emission computed tomography (SPECT) and optical imaging during disease progression enables visualization and quantification of functional tumor characteristics, which may serve as imaging biomarkers guiding targeted therapies. A critical question, however, is whether the in vivo model systems mimic the disease setting in patients to such an extent that the imaging biomarkers may be translatable to the clinic. The primary objective of this review is to give an overview of current and novel preclinical imaging methods relevant for endometrial cancer animal models. Furthermore, we highlight how these advanced imaging methods depict pathogenic mechanisms important for tumor progression that represent potential targets for treatment in endometrial cancer.
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Affiliation(s)
- Heidi Espedal
- Department of Clinical Medicine, University of Bergen, 5021 Bergen, Norway;
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, 5021 Bergen, Norway
- Correspondence: (H.E.); (I.S.H.)
| | - Tina Fonnes
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (T.F.); (C.K.)
- Department of Obstetrics and Gynecology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Kristine E. Fasmer
- Department of Clinical Medicine, University of Bergen, 5021 Bergen, Norway;
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Camilla Krakstad
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (T.F.); (C.K.)
- Department of Obstetrics and Gynecology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Ingfrid S. Haldorsen
- Department of Clinical Medicine, University of Bergen, 5021 Bergen, Norway;
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, 5021 Bergen, Norway
- Correspondence: (H.E.); (I.S.H.)
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