1
|
Margoni A, Gargalionis AN, Papavassiliou AG. CA-125:CA72-4 ratio - towards a promising cost-effective tool in ovarian cancer diagnosis and monitoring of post-menopausal women under hormone treatment. J Ovarian Res 2024; 17:164. [PMID: 39127704 PMCID: PMC11316994 DOI: 10.1186/s13048-024-01487-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 08/05/2024] [Indexed: 08/12/2024] Open
Abstract
Ovarian cancer (OC) is the most lethal gynecological cancer in the developed world. Most cases are diagnosed at late stage III-IV with a very low 5-year overall survival rate. Several studies revealed an elevated risk of OC in users of hormone treatment (HT) compared with non-users. The extended duration of HT is a statistically significant risk factor. Carbohydrate antigen or cancer antigen 125 (CA-125) remains the best screening tool for OC; however, its value is limited due to low specificity, leading to unnecessary interventions, surgeries, and psychological harm. Additionally, the variability of ultrasound interpretation highlights the urgent need to develop a univariate index with higher sensitivity and specificity for early diagnosis of OC in women under HT. Herein we critically review the limitations of biomarkers for the detection of OC aiming to suggest an accurate and cost-effective diagnostic ratio that eliminates the impact of body mass index, age, HT, smoking, and benign ovarian diseases on measurements. Numerous studies combine biomarkers such as CA-125, human epididymis protein 4, and thymidine kinase 1 into diagnostic algorithms. Data suggest that the expression of estrogen receptors may have diagnostic and prognostic value, as the estrogen receptor α (ERα):estrogen receptor β (ERβ) ratio is significantly higher in OC than in normal tissue due to ERβ downregulation. A high positive correlation between expression of CA-125 and carbohydrate antigen or cancer antigen 72 - 4 (CA72-4) with ERα and ERβ, respectively, poses that a novel ratio CA-125:CA72-4 could be nodal for monitoring post-menopausal women under HT.
Collapse
Affiliation(s)
- Angeliki Margoni
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, 11527, Greece
| | - Antonios N Gargalionis
- Laboratory of Clinical Biochemistry, Medical School, 'Attikon' University General Hospital, National and Kapodistrian University of Athens, Athens, 12462, Greece
| | - Athanasios G Papavassiliou
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, 11527, Greece.
| |
Collapse
|
2
|
Boidin L, Moinard M, Moussaron A, Merlier M, Moralès O, Grolez GP, Baydoun M, Mohd-Gazzali A, Tazizi MHDM, Allah HHA, Kerbage Y, Arnoux P, Acherar S, Frochot C, Delhem N. Targeted Photodynamic Therapy using a Vectorized Photosensitizer coupled to Folic Acid Analog induces Ovarian Tumor Cell Death and inhibits IL-6-mediated Inflammation. J Control Release 2024; 371:351-370. [PMID: 38789088 DOI: 10.1016/j.jconrel.2024.05.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 05/10/2024] [Accepted: 05/19/2024] [Indexed: 05/26/2024]
Abstract
Ovarian cancer (OC) is one of the most lethal cancers among women. Frequent recurrence in the peritoneum due to the presence of microscopic tumor residues justifies the development of new therapies. Indeed, our main objective is to develop a targeted photodynamic therapy (PDT) treatment of peritoneal carcinomatosis from OC to improve the life expectancy of cancer patients. Herein, we propose a targeted-PDT using a vectorized photosensitizer (PS) coupled with a newly folic acid analog (FAA), named PSFAA, in order to target folate receptor alpha (FRα) overexpressed on peritoneal metastasis. This PSFAA was the result of the coupling of pyropheophorbide-a (Pyro-a), as the PS, to a newly synthesized FAA via a polyethylene glycol (PEG) spacer. The selectivity and the PDT efficacy of PSFAA was evaluated on two human OC cell lines overexpressing FRα compared to fibrosarcoma cells underexpressing FRα. Final PSFAA, including the synthesis of a newly FAA and its conjugation to Pyro-a, was obtained after 10 synthesis steps, with an overall yield of 19%. Photophysical properties of PSFAA in EtOH were performed and showed similarity with those of free Pyro-a, such as the fluorescence and singlet oxygen quantum yields (Φf = 0.39 and ΦΔ = 0.53 for free Pyro-a, and Φf = 0.26 and ΦΔ = 0.41 for PSFAA). Any toxicity of PSFAA was noticed. After light illumination, a dose-dependent effect on PS concentration and light dose was shown. Furthermore, a PDT efficacy of PSFAA on OC cell secretome was detected inducing a decrease of a pro-inflammatory cytokine secretion (IL-6). This new PSFAA has shown promising biological properties highlighting the selectivity of the therapy opening new perspectives in the treatment of a cancer in a therapeutic impasse.
Collapse
Affiliation(s)
- Léa Boidin
- Univ. Lille, Inserm, CHU Lille, U1189-ONCOTHAI-Assisted Laser Therapy and Immunotherapy for Oncology, Lille F-59000, France
| | - Morgane Moinard
- Univ. Lorraine, CNRS, UMR7274 - LRGP- Laboratoire des Réactions et Génie des Procédés, Nancy F-54000, France
| | - Albert Moussaron
- Univ. Lorraine, CNRS, UMR7274 - LRGP- Laboratoire des Réactions et Génie des Procédés, Nancy F-54000, France; Univ. Lorraine, CNRS, UMR7375 - LCPM - Laboratoire de Chimie-Physique Macromoléculaire, Nancy F-54000, France
| | - Margaux Merlier
- Univ. Lille, Inserm, CHU Lille, U1189-ONCOTHAI-Assisted Laser Therapy and Immunotherapy for Oncology, Lille F-59000, France
| | - Olivier Moralès
- Univ. Lille, Inserm, CHU Lille, U1189-ONCOTHAI-Assisted Laser Therapy and Immunotherapy for Oncology, Lille F-59000, France; Univ. Lille, CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER - Cancer Heterogeneity Plasticity and Resistance to Therapies, Lille F-59000, France
| | - Guillaume Paul Grolez
- Univ. Lille, Inserm, CHU Lille, U1189-ONCOTHAI-Assisted Laser Therapy and Immunotherapy for Oncology, Lille F-59000, France
| | - Martha Baydoun
- Univ. Lille, Inserm, CHU Lille, U1189-ONCOTHAI-Assisted Laser Therapy and Immunotherapy for Oncology, Lille F-59000, France
| | - Amirah Mohd-Gazzali
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia
| | | | - Hassan Hadi Abd Allah
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia
| | - Yohan Kerbage
- Univ. Lille, Inserm, CHU Lille, U1189-ONCOTHAI-Assisted Laser Therapy and Immunotherapy for Oncology, Lille F-59000, France
| | - Philippe Arnoux
- Univ. Lorraine, CNRS, UMR7274 - LRGP- Laboratoire des Réactions et Génie des Procédés, Nancy F-54000, France
| | - Samir Acherar
- Univ. Lorraine, CNRS, UMR7375 - LCPM - Laboratoire de Chimie-Physique Macromoléculaire, Nancy F-54000, France.
| | - Céline Frochot
- Univ. Lorraine, CNRS, UMR7274 - LRGP- Laboratoire des Réactions et Génie des Procédés, Nancy F-54000, France.
| | - Nadira Delhem
- Univ. Lille, Inserm, CHU Lille, U1189-ONCOTHAI-Assisted Laser Therapy and Immunotherapy for Oncology, Lille F-59000, France.
| |
Collapse
|
3
|
Taliento C, Morciano G, Nero C, Froyman W, Vizzielli G, Pavone M, Salvioli S, Tormen M, Fiorica F, Scutiero G, Scambia G, Giorgi C, Greco P, Pinton P. Circulating tumor DNA as a biomarker for predicting progression-free survival and overall survival in patients with epithelial ovarian cancer: a systematic review and meta-analysis. Int J Gynecol Cancer 2024; 34:906-918. [PMID: 38658022 DOI: 10.1136/ijgc-2024-005313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024] Open
Abstract
OBJECTIVES Circulating tumor DNA (ctDNA) is emerging as a potential prognostic biomarker in multiple tumor types. However, despite the many studies available on small series of patients with ovarian cancer, a recent systematic review and meta-analysis is lacking. The objective of this study was to determine the association of ctDNA with progression-free-survival and overall survival in patients with epithelial ovarian cancer. METHODS An electronic search was conducted using PubMed (MEDLINE), Embase, CENTRAL (Cochrane Library), and CINAHL-Complete from January 2000 to September 15, 2023. To be included in the analysis the studies had to meet the following pre-specified inclusion criteria: (1) evaluable ctDNA; (2) progression-free-survival and overall survival reported as hazard ratio (HR); and (3) the patient population had epithelial ovarian cancer at the time of ctDNA detection. We evaluated the association of ctDNA with progression-free survival and overall survival. Secondary outcomes focused on sub-group analysis of genomic alterations and international Federation of Gynecology and Obstetrics (FIGO) stage. RESULTS A total of 26 studies reporting on 1696 patients with epithelial ovarian cancer were included. The overall concordance rate between plasma-based and tissue-based analyses was approximately 62%. We found that a high level of ctDNA in epithelial ovarian cancer was associated with worse progression-free survival (HR 5.31, 95% CI 2.14 to 13.17, p<0.001) and overall survival (HR 2.98, 95% CI 1.86 to 4.76, p<0.0001). The sub-group analysis showed a greater than threefold increase in the risk of relapse in patients with positive HOXA9 meth-ctDNA (HR 3.84, 95% CI 1.57 to 9.41, p=0.003). CONCLUSIONS ctDNA was significantly associated with worse progression-free survival and overall survival in patients with epithelial ovarian cancer. Further prospective studies are needed. PROSPERO REGISTRATION NUMBER CRD42023469390.
Collapse
Affiliation(s)
- Cristina Taliento
- Department of Medical Sciences, Obstetrics and Gynecology Unit, "S. Anna" University Hospital, University of Ferrara, Ferrara, Italy
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Giampaolo Morciano
- Department of Medical Sciences, Section of Experimental Medicine and Laboratory for Technologies of Advanced Therapies (LTTA), University of Ferrara, Ferrara, Italy
| | - Camilla Nero
- Department of Women and Child Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore Dipartimento Scienze della Vita e Sanità Pubblica, Rome, Italy
| | - Wouter Froyman
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Obstetrics and Gynecology, University Hospitals KU Leuven, Leuven, Belgium
| | - Giuseppe Vizzielli
- Department of Obstetrics and Gynecology, University of Udine Medical Area Department, Udine, Italy
| | - Matteo Pavone
- Department of Women and Child Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- IHU Strasbourg, Institute of Image Guided Surgery, Strasbourg, France
| | - Stefano Salvioli
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
| | - Mara Tormen
- Department of Medical Sciences, Obstetrics and Gynecology Unit, "S. Anna" University Hospital, University of Ferrara, Ferrara, Italy
| | | | - Gennaro Scutiero
- Department of Medical Sciences, Obstetrics and Gynecology Unit, "S. Anna" University Hospital, University of Ferrara, Ferrara, Italy
| | - Giovanni Scambia
- Department of Women and Child Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Carlotta Giorgi
- Department of Medical Sciences, Section of Experimental Medicine and Laboratory for Technologies of Advanced Therapies (LTTA), University of Ferrara, Ferrara, Italy
| | - Pantaleo Greco
- Department of Medical Sciences, Obstetrics and Gynecology Unit, "S. Anna" University Hospital, University of Ferrara, Ferrara, Italy
| | - Paolo Pinton
- Department of Medical Sciences, Section of Experimental Medicine and Laboratory for Technologies of Advanced Therapies (LTTA), University of Ferrara, Ferrara, Italy
| |
Collapse
|
4
|
Kuo YC, Chuang CH, Kuo HC, Lin CT, Chao A, Huang HJ, Wang HM, Hsieh JCH, Chou HH. Circulating tumor cells help differentiate benign ovarian lesions from cancer before surgery: A literature review and proof of concept study using flow cytometry with fluorescence imaging. Oncol Lett 2024; 27:234. [PMID: 38596263 PMCID: PMC11003220 DOI: 10.3892/ol.2024.14367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 02/19/2024] [Indexed: 04/11/2024] Open
Abstract
Current tools are insufficient for distinguishing patients with ovarian cancer from those with benign ovarian lesions before extensive surgery. The present study utilized a readily accessible platform employing a negative selection strategy, followed by flow cytometry, to enumerate circulating tumor cells (CTCs) in patients with ovarian cancer. These counts were compared with those from patients with benign ovarian lesions. CTC counts at baseline, before and after anticancer therapy, and across various clinical scenarios involving ovarian lesions were assessed. A negative-selection protocol we proposed was applied to patients with suspected ovarian cancer and prospectively utilized in those subsequently confirmed to have malignancy. The protocol was implemented before anticancer therapy and at months 3, 6, 9 and 12 post-treatment. A cut-off value for CTC number at 4.75 cells/ml was established to distinguish ovarian malignancy from benign lesions, with an area under the curve of 0.900 (P<0.001). In patients with ovarian cancer, multivariate Cox regression analysis revealed that baseline CTC counts and the decline in CTCs within the first three months post-therapy were significant predictors of prolonged progression-free survival. Additionally, baseline CTC counts independently prognosticated overall survival. CTC counts obtained with the proposed platform, used in the present study, suggest that pre-operative CTC testing may be able to differentiate between malignant and benign tumors. Moreover, CTC counts may indicate oncologic outcomes in patients with ovarian cancer who have undergone cancer therapies.
Collapse
Affiliation(s)
- Yung-Chia Kuo
- Division of Hematology-Oncology, Department of Internal Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 236, Taiwan, R.O.C
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
- Department and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan, R.O.C
| | - Chi-Hsi Chuang
- Department of Pediatrics, New Taipei Municipal TuCheng Hospital, New Taipei City 236, Taiwan, R.O.C
| | - Hsuan-Chih Kuo
- Division of Hematology-Oncology, Department of Internal Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 236, Taiwan, R.O.C
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
- Department and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan, R.O.C
| | - Cheng-Tao Lin
- Department and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan, R.O.C
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
- Gynecologic Cancer Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
| | - Angel Chao
- Department and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan, R.O.C
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
- Gynecologic Cancer Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
| | - Huei-Jean Huang
- Department and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan, R.O.C
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
- Gynecologic Cancer Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
| | - Hung-Ming Wang
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
- Department and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan, R.O.C
| | - Jason Chia-Hsun Hsieh
- Division of Hematology-Oncology, Department of Internal Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 236, Taiwan, R.O.C
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
- Department and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan, R.O.C
| | - Hung-Hsueh Chou
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
- Gynecologic Cancer Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan, R.O.C
- Department and School of Medicine, National Tsing Hua University, Hsinchu 300044, Taiwan, R.O.C
| |
Collapse
|
5
|
Romero I, Guerra E, Madariaga A, Manso L. Safety of bevacizumab and olaparib as frontline maintenance therapy in advanced ovarian cancer: expert review for clinical practice. Front Oncol 2024; 13:1304303. [PMID: 38348122 PMCID: PMC10859514 DOI: 10.3389/fonc.2023.1304303] [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: 09/29/2023] [Accepted: 12/26/2023] [Indexed: 02/15/2024] Open
Abstract
Olaparib, a poly(ADP-ribose) polymerase inhibitor, in combination with the antiangiogenic agent bevacizumab, is approved as maintenance therapy for patients with newly diagnosed stage III or IV epithelial ovarian cancer who have homologous recombination deficient tumors with a deleterious or suspected deleterious BRCA mutation and/or genomic instability based on the long-lasting survival benefit observed in the PAOLA-1 trial. Despite treatment with olaparib and bevacizumab showing an acceptable safety profile, the rate of discontinuations due to adverse events was relatively high, and toxicity related to this regimen may restrict its clinical use. Proper management of olaparib/bevacizumab-related adverse events is important for the improvement of quality of life and maximization of the efficacy of maintenance therapy. Here, we summarize the safety results of the PAOLA-1 study, focusing on treatment discontinuation reasons and adverse event profiles. We sought to shed light on toxicity monitoring and prevention, providing concise recommendations for the clinical management of the most relevant side effects.
Collapse
Affiliation(s)
- Ignacio Romero
- Department of Medical Oncology, Instituto Valenciano de Oncología (IVO), Valencia, Spain
| | - Eva Guerra
- Department of Medical Oncology, Ramón y Cajal University Hospital, Madrid, Spain
| | - Ainhoa Madariaga
- Department of Medical Oncology, 12 de Octubre University Hospital, Madrid, Spain
| | - Luis Manso
- Department of Medical Oncology, 12 de Octubre University Hospital, Madrid, Spain
| |
Collapse
|
6
|
Li N, Yu K, Huang D, Zhou H, Zeng D. Identifying a Novel Eight-NK Cell-related Gene Signature for Ovarian Cancer Prognosis Prediction. Curr Med Chem 2024; 31:1578-1594. [PMID: 37650393 DOI: 10.2174/0929867331666230831101847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/17/2023] [Accepted: 08/21/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Ovarian cancer (OVC) is the most common and costly tumor in the world with unfavorable overall survival and prognosis. This study is aimed to explore the prognostic value of natural killer cells related genes for OVC treatment. METHODS RNA-seq and clinical information were acquired from the TCGA-OVC dataset (training dataset) and the GSE51800 dataset (validation dataset). Genes linked to NK cells were obtained from the immPort dataset. Moreover, ConsensusClusterPlus facilitated the screening of molecular subtypes. Following this, the risk model was established by LASSO analysis, and immune infiltration and immunotherapy were then detected by CIBERSORT, ssGSEA, ESTIMATE, and TIDE algorithms. RESULTS Based on 23 NK cell-related genes with prognosis, TCGA-OVC samples were classified into two clusters, namely C1 and C2. Of these, C1 had better survival outcomes as well as enhanced immune infiltration and tumor stem cells. Additionally, it was more suitable for immunotherapy and was also sensitive to traditional chemotherapy drugs. The eight-gene prognosis model was constructed and verified via the GSE51800 dataset. Additionally, a high infiltration level of immune cells was observed in low-risk patients. Low-risk samples also benefited from immunotherapy and chemotherapy drugs. Finally, a nomogram and ROC curves were applied to validate model accuracy. CONCLUSION The present study identified a RiskScore signature, which could stratify patients with different infiltration levels, immunotherapy, and chemotherapy drugs. Our study provided a basis for precisely evaluating OVC therapy and prognosis.
Collapse
Affiliation(s)
- Nan Li
- Reproductive Medicine Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou, 545001, China
- Liuzhou Institute of Reproduction and Genetics, Liuzhou Maternity and Child Health Care Hospital, Liuzhou, 545001, China
- Guangxi Health Commission Key Laboratory of Birth Cohort Study in Pregnant Women of Advanced Age, Liuzhou, 545001, China
| | - Kai Yu
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, China
| | - Delun Huang
- Department of Physiology, Guangxi University of Chinese Medicine, Nanning, 530004, China
| | - Hui Zhou
- Department of Gynecologic Oncology, Sun Yat-Sen Memorial Hospital of Sun Yatsen University, Guangzhou, 510120, China
| | - Dingyuan Zeng
- Reproductive Medicine Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou, 545001, China
- Liuzhou Institute of Reproduction and Genetics, Liuzhou Maternity and Child Health Care Hospital, Liuzhou, 545001, China
- Guangxi Health Commission Key Laboratory of Birth Cohort Study in Pregnant Women of Advanced Age, Liuzhou, 545001, China
- The Department of Obstetrics and Gynecology, Liuzhou Maternity and Child Health Care Hospital, Liuzhou, 545001, China
| |
Collapse
|
7
|
Mai J, Wu L, Yang L, Sun T, Liu X, Yin R, Jiang Y, Li J, Li Q. Therapeutic strategies targeting folate receptor α for ovarian cancer. Front Immunol 2023; 14:1254532. [PMID: 37711615 PMCID: PMC10499382 DOI: 10.3389/fimmu.2023.1254532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 08/11/2023] [Indexed: 09/16/2023] Open
Abstract
Epithelial ovarian cancer (EOC) is the deadliest gynecological cancer, and presents a major clinical challenge due to limited treatment options. Folate receptor alpha (FRα), encoded by the FOLR1 gene, is an attractive therapeutically target due to its prevalent and high expression in EOC cells. Recent basic and translational studies have explored several modalities, such as antibody-drug conjugate (ADC), monoclonal antibodies, small molecules, and folate-drug conjugate, to exploit FRα for EOC treatment. In this review, we summarize the function of FRα, and clinical efficacies of various FRα-based therapeutics. We highlight mirvetuximab soravtansine (MIRV), or Elahere (ImmunoGen), the first FRα-targeting ADC approved by the FDA to treat platinum-resistant ovarian cancer. We discuss potential mechanisms and management of ocular adverse events associated with MIRV administration.
Collapse
Affiliation(s)
- Jia Mai
- Department of Laboratory Medicine, Obstetrics & Gynecology and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu, Sichuan, China
| | - Limei Wu
- Department of Laboratory Medicine, Obstetrics & Gynecology and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu, Sichuan, China
- Department of Obstetrics and Gynecology, Chengdu Second People's Hospital, Chengdu, Sichuan, China
| | - Ling Yang
- Department of Laboratory Medicine, Obstetrics & Gynecology and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu, Sichuan, China
| | - Ting Sun
- Department of Clinical Laboratory, The first Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaojuan Liu
- Department of Laboratory Medicine, Obstetrics & Gynecology and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu, Sichuan, China
| | - Rutie Yin
- Department of Laboratory Medicine, Obstetrics & Gynecology and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu, Sichuan, China
| | - Yongmei Jiang
- Department of Laboratory Medicine, Obstetrics & Gynecology and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu, Sichuan, China
| | - Jinke Li
- Department of Laboratory Medicine, Obstetrics & Gynecology and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu, Sichuan, China
| | - Qintong Li
- Department of Laboratory Medicine, Obstetrics & Gynecology and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu, Sichuan, China
| |
Collapse
|
8
|
Timofeeva AV, Fedorov IS, Asaturova AV, Sannikova MV, Tregubova AV, Mayboroda OA, Khabas GN, Frankevich VE, Sukhikh GT. Blood Plasma Small Non-Coding RNAs as Diagnostic Molecules for the Progesterone-Receptor-Negative Phenotype of Serous Ovarian Tumors. Int J Mol Sci 2023; 24:12214. [PMID: 37569592 PMCID: PMC10419267 DOI: 10.3390/ijms241512214] [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: 07/12/2023] [Revised: 07/28/2023] [Accepted: 07/28/2023] [Indexed: 08/13/2023] Open
Abstract
The expression level of the progesterone receptor (PGR) plays a crucial role in determining the biological characteristics of serous ovarian carcinoma. Low PGR expression is associated with chemoresistance and a poorer outcome. In this study, our objective was to explore the relationship between tumor progesterone receptor levels and RNA profiles (miRNAs, piwiRNAs, and mRNAs) to understand their biological characteristics and behavior. To achieve this, we employed next-generation sequencing of small non-coding RNAs, quantitative RT-PCR, and immunohistochemistry to analyze both FFPE and frozen tumor samples, as well as blood plasma from patients with benign cystadenoma (BSC), serous borderline tumor (SBT), low-grade serous ovarian carcinoma (LGSOC), and high-grade serous ovarian carcinoma (HGSOC). Our findings revealed significant upregulation of MMP7 and MUC16, along with downregulation of PGR, in LGSOC and HGSOC compared to BSC. We observed significant correlations of PGR expression levels in tumor tissue with the contents of miR-199a-5p, miR-214-3p, miR-424-3p, miR-424-5p, and miR-125b-5p, which potentially target MUC16, MMP7, and MMP9, as well as with the tissue content of miR-16-5p, miR-17-5p, miR-20a-5p, and miR-93-5p, which are associated with the epithelial-mesenchymal transition (EMT) of cells. The levels of EMT-associated miRNAs were significantly correlated with the content of hsa_piR_022437, hsa_piR_009295, hsa_piR_020813, hsa_piR_004307, and hsa_piR_019914 in tumor tissues. We developed two optimal logistic regression models using the quantitation of hsa_piR_020813, miR-16-5p, and hsa_piR_022437 or hsa_piR_004307, hsa_piR_019914, and miR-93-5p in the tumor tissue, which exhibited a significant ability to diagnose the PGR-negative tumor phenotype with 93% sensitivity. Of particular interest, the blood plasma levels of miR-16-5p and hsa_piR_022437 could be used to diagnose the PGR-negative tumor phenotype with 86% sensitivity even before surgery and chemotherapy. This knowledge can help in choosing the most effective treatment strategy for this aggressive type of ovarian cancer, such as neoadjuvant chemotherapy followed by cytoreduction in combination with hyperthermic intraperitoneal chemotherapy and targeted therapy, thus enhancing the treatment's effectiveness and the patient's longevity.
Collapse
Affiliation(s)
- Angelika V. Timofeeva
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov Ministry of Healthcare of the Russian Federation, Ac. Oparina 4, 117997 Moscow, Russia; (I.S.F.); (A.V.A.); (M.V.S.); (A.V.T.); (G.N.K.); (V.E.F.); (G.T.S.)
| | - Ivan S. Fedorov
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov Ministry of Healthcare of the Russian Federation, Ac. Oparina 4, 117997 Moscow, Russia; (I.S.F.); (A.V.A.); (M.V.S.); (A.V.T.); (G.N.K.); (V.E.F.); (G.T.S.)
| | - Aleksandra V. Asaturova
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov Ministry of Healthcare of the Russian Federation, Ac. Oparina 4, 117997 Moscow, Russia; (I.S.F.); (A.V.A.); (M.V.S.); (A.V.T.); (G.N.K.); (V.E.F.); (G.T.S.)
| | - Maya V. Sannikova
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov Ministry of Healthcare of the Russian Federation, Ac. Oparina 4, 117997 Moscow, Russia; (I.S.F.); (A.V.A.); (M.V.S.); (A.V.T.); (G.N.K.); (V.E.F.); (G.T.S.)
| | - Anna V. Tregubova
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov Ministry of Healthcare of the Russian Federation, Ac. Oparina 4, 117997 Moscow, Russia; (I.S.F.); (A.V.A.); (M.V.S.); (A.V.T.); (G.N.K.); (V.E.F.); (G.T.S.)
| | - Oleg A. Mayboroda
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands;
| | - Grigory N. Khabas
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov Ministry of Healthcare of the Russian Federation, Ac. Oparina 4, 117997 Moscow, Russia; (I.S.F.); (A.V.A.); (M.V.S.); (A.V.T.); (G.N.K.); (V.E.F.); (G.T.S.)
| | - Vladimir E. Frankevich
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov Ministry of Healthcare of the Russian Federation, Ac. Oparina 4, 117997 Moscow, Russia; (I.S.F.); (A.V.A.); (M.V.S.); (A.V.T.); (G.N.K.); (V.E.F.); (G.T.S.)
- Laboratory of Translational Medicine, Siberian State Medical University, 634050 Tomsk, Russia
| | - Gennady T. Sukhikh
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov Ministry of Healthcare of the Russian Federation, Ac. Oparina 4, 117997 Moscow, Russia; (I.S.F.); (A.V.A.); (M.V.S.); (A.V.T.); (G.N.K.); (V.E.F.); (G.T.S.)
- Department of Obstetrics, Gynecology, Perinatology and Reproductology, First Moscow State Medical University Named after I.M. Sechenov, 119991 Moscow, Russia
| |
Collapse
|
9
|
Xi Y, Zhang Y, Zheng K, Zou J, Gui L, Zou X, Chen L, Hao J, Zhang Y. A chemotherapy response prediction model derived from tumor-promoting B and Tregs and proinflammatory macrophages in HGSOC. Front Oncol 2023; 13:1171582. [PMID: 37519793 PMCID: PMC10382026 DOI: 10.3389/fonc.2023.1171582] [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: 02/23/2023] [Accepted: 06/27/2023] [Indexed: 08/01/2023] Open
Abstract
Background Most patients with high-grade serous ovarian cancer (HGSOC) experienced disease recurrence with cumulative chemoresistance, leading to treatment failure. However, few biomarkers are currently available in clinical practice that can accurately predict chemotherapy response. The tumor immune microenvironment is critical for cancer development, and its transcriptomic profile may be associated with treatment response and differential outcomes. The aim of this study was to develop a new predictive signature for chemotherapy in patients with HGSOC. Methods Two HGSOC single-cell RNA sequencing datasets from patients receiving chemotherapy were reinvestigated. The subtypes of endoplasmic reticulum stress-related XBP1+ B cells, invasive metastasis-related ACTB+ Tregs, and proinflammatory-related macrophage subtypes with good predictive power and associated with chemotherapy response were identified. These results were verified in an independent HGSOC bulk RNA-seq dataset for chemotherapy. Further validation in clinical cohorts used quantitative real-time PCR (qRT-PCR). Results By combining cluster-specific genes for the aforementioned cell subtypes, we constructed a chemotherapy response prediction model containing 43 signature genes that achieved an area under the receiver operator curve (AUC) of 0.97 (p = 2.1e-07) for the GSE156699 cohort (88 samples). A huge improvement was achieved compared to existing prediction models with a maximum AUC of 0.74. In addition, its predictive capability was validated in multiple independent bulk RNA-seq datasets. The qRT-PCR results demonstrate that the expression of the six genes has the highest diagnostic value, consistent with the trend observed in the analysis of public data. Conclusions The developed chemotherapy response prediction model can be used as a valuable clinical decision tool to guide chemotherapy in HGSOC patients.
Collapse
Affiliation(s)
- Yue Xi
- Department of Reproductive Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yingchun Zhang
- Department of Reproductive Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Kun Zheng
- Department of Urology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiawei Zou
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lv Gui
- Department of Pathology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Xin Zou
- Jinshan Hospital Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Liang Chen
- Department of Gynecological Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, China
| | - Jie Hao
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yiming Zhang
- Department of Reproductive Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| |
Collapse
|
10
|
Song J, Sokoll LJ, Zhang Z, Chan DW. VCAM-1 complements CA-125 in detecting recurrent ovarian cancer. Clin Proteomics 2023; 20:25. [PMID: 37357306 DOI: 10.1186/s12014-023-09414-z] [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: 11/01/2022] [Accepted: 06/13/2023] [Indexed: 06/27/2023] Open
Abstract
BACKGROUND Close to three-quarters of ovarian cancer cases are frequently diagnosed at an advanced stage, with more than 70% of them failing to respond to primary therapy and relapsing within 5 years. There is an urgent need to identify strategies for early detection of ovarian cancer recurrence, which may lead to earlier intervention and better outcomes. METHODS A customized magnetic bead-based 8-plex immunoassay was evaluated using a Bio-Plex 200 Suspension Array System. Target protein levels were analyzed in sera from 58 patients diagnosed with advanced ovarian cancer (including 34 primary and 24 recurrent tumors) and 46 healthy controls. The clinical performance of these biomarkers was evaluated individually and in combination for their ability to detect recurrent ovarian cancer. RESULTS An 8-plex immunoassay was evaluated with high analytical performance suitable for biomarker validation studies. Logistic regression modeling selected a two-marker panel of CA-125 and VCAM-1 that improved the performance of CA-125 alone in detecting recurrent ovarian cancer (AUC: 0.813 versus 0.700). At a fixed specificity of 83%, the two-marker panel significantly improved sensitivity in separating primary from recurrent tumors (70.8% versus 37.5%, P = 0.004), demonstrating that VCAM-1 was significantly complementary to CA-125 in detecting recurrent ovarian cancer. CONCLUSIONS A two-marker panel of CA-125 and VCAM-1 showed strong diagnostic performance and improvement over the use of CA-125 alone in detecting recurrent ovarian cancer. The experimental results warrant further clinical validation to determine their role in the early detection of recurrent ovarian cancer.
Collapse
Affiliation(s)
- Jin Song
- Center for Biomarker Discovery and Translation, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
- Department of Pathology, Johns Hopkins University School of Medicine, 419 North Caroline Street, Baltimore, MD, 21231, USA.
| | - Lori J Sokoll
- Center for Biomarker Discovery and Translation, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Zhen Zhang
- Center for Biomarker Discovery and Translation, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Daniel W Chan
- Center for Biomarker Discovery and Translation, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| |
Collapse
|
11
|
Wang CW, Hanson EK, Minkoff L, Whelan RJ. Individual recombinant repeats of MUC16 display variable binding to CA125 antibodies. Cancer Biomark 2023:CBM220191. [PMID: 37248884 DOI: 10.3233/cbm-220191] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
BACKGROUND Despite its importance in the clinical management of ovarian cancer, the CA125 biomarker - located on the mucin protein MUC16 - is still not completely understood. Questions remain about MUC16's function and structure, specifically the identity and location of the CA125 epitopes. OBJECTIVE The goal of this study was to characterize the interaction of individual recombinant repeats from the tandem repeat domain of MUC16 with antibodies used in the clinical CA125 II test. METHODS Using E. coli expression, we isolated nine repeats from the putative antigenic domain of CA125. Amino acid composition of recombinant repeats was confirmed by high-resolution mass spectrometry. We characterized the binding of four antibodies - OC125, M11, "OC125-like," and "M11-like" - to nine recombinant repeats using Western blotting, indirect enzyme-linked immunosorbent assay (ELISA), and localized surface plasmon resonance (SPR) spectroscopy. RESULTS Each recombinant repeat was recognized by a different combination of CA125 antibodies. OC125 and "OC125-like" antibodies did not bind the same set of recombinant repeats, nor did M11 and "M11-like" antibodies. CONCLUSIONS Characterization of the interactions between MUC16 recombinant repeats and CA125 antibodies will contribute to ongoing efforts to identify the CA125 epitopes and improve our understanding of this important biomarker.
Collapse
Affiliation(s)
- Chien-Wei Wang
- Department of Chemistry, University of Kansas, Lawrence, KS, USA
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA
| | - Eliza K Hanson
- Department of Chemistry, University of Kansas, Lawrence, KS, USA
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA
| | - Lisa Minkoff
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA
| | - Rebecca J Whelan
- Department of Chemistry, University of Kansas, Lawrence, KS, USA
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA
| |
Collapse
|
12
|
Liu J, Zhang X, Wang H, Zuo X, Hong L. Comprehensive Analysis of Purine-Metabolism-Related Gene Signature for Predicting Ovarian Cancer Prognosis, Immune Landscape, and Potential Treatment Options. J Pers Med 2023; 13:jpm13050776. [PMID: 37240946 DOI: 10.3390/jpm13050776] [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: 03/02/2023] [Revised: 04/25/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
Purine metabolism is an important branch of metabolic reprogramming and has received increasing attention in cancer research. Ovarian cancer is an extremely dangerous gynecologic malignancy for which there are no adequate tools to predict prognostic risk. Here, we identified a prognostic signature consisting of nine genes related to purine metabolism, including ACSM1, CACNA1C, EPHA4, TPM3, PDIA4, JUNB, EXOSC4, TRPM2, and CXCL9. The risk groups defined by the signature are able to distinguish the prognostic risk and the immune landscape of patients. In particular, the risk scores offer promising personalized drug options. By combining risk scores with clinical characteristics, we have created a more detailed composite nomogram that allows for a more complete and individualized prediction of prognosis. In addition, we demonstrated metabolic differences between platinum-resistant and platinum-sensitive ovarian cancer cells. In summary, we have performed the first comprehensive analysis of genes related to purine metabolism in ovarian cancer patients and created a feasible prognostic signature that will aid in risk prediction and support personalized medicine.
Collapse
Affiliation(s)
- Jingchun Liu
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Xiaoyi Zhang
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Haoyu Wang
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Xiaohu Zuo
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Li Hong
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| |
Collapse
|
13
|
Ekwujuru EU, Olatunde AM, Klink MJ, Ssemakalu CC, Chili MM, Peleyeju MG. Electrochemical and Photoelectrochemical Immunosensors for the Detection of Ovarian Cancer Biomarkers. SENSORS (BASEL, SWITZERLAND) 2023; 23:4106. [PMID: 37112447 PMCID: PMC10142013 DOI: 10.3390/s23084106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/20/2023] [Accepted: 03/28/2023] [Indexed: 06/19/2023]
Abstract
Photoelectrochemical (PEC) sensing is an emerging technological innovation for monitoring small substances/molecules in biological or non-biological systems. In particular, there has been a surge of interest in developing PEC devices for determining molecules of clinical significance. This is especially the case for molecules that are markers for serious and deadly medical conditions. The increased interest in PEC sensors to monitor such biomarkers can be attributed to the many apparent advantages of the PEC system, including an enhanced measurable signal, high potential for miniaturization, rapid testing, and low cost, amongst others. The growing number of published research reports on the subject calls for a comprehensive review of the various findings. This article is a review of studies on electrochemical (EC) and PEC sensors for ovarian cancer biomarkers in the last seven years (2016-2022). EC sensors were included because PEC is an improved EC; and a comparison of both systems has, expectedly, been carried out in many studies. Specific attention was given to the different markers of ovarian cancer and the EC/PEC sensing platforms developed for their detection/quantification. Relevant articles were sourced from the following databases: Scopus, PubMed Central, Web of Science, Science Direct, Academic Search Complete, EBSCO, CORE, Directory of open Access Journals (DOAJ), Public Library of Science (PLOS), BioMed Central (BMC), Semantic Scholar, Research Gate, SciELO, Wiley Online Library, Elsevier and SpringerLink.
Collapse
Affiliation(s)
- Ezinne U. Ekwujuru
- Department of Biotechnology and Chemistry, Vaal University of Technology, Vanderbijlpark 1911, South Africa
| | | | - Michael J. Klink
- Department of Biotechnology and Chemistry, Vaal University of Technology, Vanderbijlpark 1911, South Africa
| | - Cornelius C. Ssemakalu
- Department of Biotechnology and Chemistry, Vaal University of Technology, Vanderbijlpark 1911, South Africa
| | - Muntuwenkosi M. Chili
- Department of Biotechnology and Chemistry, Vaal University of Technology, Vanderbijlpark 1911, South Africa
- Centre for Academic Development, Vaal University of Technology, Vanderbijlpark 1911, South Africa
| | - Moses G. Peleyeju
- Department of Biotechnology and Chemistry, Vaal University of Technology, Vanderbijlpark 1911, South Africa
- Centre for Academic Development, Vaal University of Technology, Vanderbijlpark 1911, South Africa
| |
Collapse
|
14
|
Karamouza E, Glasspool RM, Kelly C, Lewsley LA, Carty K, Kristensen GB, Ethier JL, Kagimura T, Yanaihara N, Cecere SC, You B, Boere IA, Pujade-Lauraine E, Ray-Coquard I, Proust-Lima C, Paoletti X. CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data. Cancers (Basel) 2023; 15:1823. [PMID: 36980708 PMCID: PMC10047009 DOI: 10.3390/cancers15061823] [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: 02/04/2023] [Revised: 03/10/2023] [Accepted: 03/13/2023] [Indexed: 03/19/2023] Open
Abstract
(1) Background: Cancer antigen 125 (CA-125) is a protein produced by ovarian cancer cells that is used for patients' monitoring. However, the best ways to analyze its decline and prognostic role are poorly quantified. (2) Methods: We leveraged individual patient data from the Gynecologic Cancer Intergroup (GCIG) meta-analysis (N = 5573) to compare different approaches summarizing the early trajectory of CA-125 before the prediction time (called the landmark time) at 3 or 6 months after treatment initiation in order to predict overall survival. These summaries included observed and estimated measures obtained by a linear mixed model (LMM). Their performances were evaluated by 10-fold cross-validation with the Brier score and the area under the ROC (AUC). (3) Results: The estimated value and the last observed value at 3 months were the best measures used to predict overall survival, with an AUC of 0.75 CI 95% [0.70; 0.80] at 24 and 36 months and 0.74 [0.69; 0.80] and 0.75 [0.69; 0.80] at 48 months, respectively, considering that CA-125 over 6 months did not improve the AUC, with 0.74 [0.68; 0.78] at 24 months and 0.71 [0.65; 0.76] at 36 and 48 months. (4) Conclusions: A 3-month surveillance provided reliable individual information on overall survival until 48 months for patients receiving first-line chemotherapy.
Collapse
Affiliation(s)
- Eleni Karamouza
- Gustave Roussy, Office of Biostatistics and Epidemiology, Université Paris-Saclay, 94805 Villejuif, France
- Oncostat, Labeled Ligue Contre le Cancer, CESP U1018, Inserm, Université Paris-Saclay, 94805 Villejuif, France
| | - Rosalind M. Glasspool
- Beatson West of Scotland Cancer Centre, NHS Greater Glasgow and Clyde, Glasgow G12 0XH, UK
| | - Caroline Kelly
- Cancer Research UK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow G12 0YN, UK
| | - Liz-Anne Lewsley
- Cancer Research UK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow G12 0YN, UK
| | - Karen Carty
- Cancer Research UK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow G12 0YN, UK
| | - Gunnar B. Kristensen
- Department of Gynecologic Oncology, Institute for Cancer Genetics and Informatics, Oslo University Hospital, 0424 Oslo, Norway
| | - Josee-Lyne Ethier
- Department of Medical Oncology, Cancer Centre of Southeastern Ontario, Queen’s University, Kingston, ON K7L 3N6, Canada
| | - Tatsuo Kagimura
- Foundation for Biomedical Research and Innocation, Translational Research Center for Medical Innovation, Kobe 650-0047, Japan
| | | | - Sabrina Chiara Cecere
- Department of Urology and Gynecology, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy
| | - Benoit You
- EMR UCBL/HCL 3738, Faculté de Médecine Lyon-Sud, Université Lyon, Université Claude Bernard Lyon 1, 69100 Lyon, France
- Medical Oncology, Institut de Cancérologie des Hospices Civils de Lyon (IC-HCL), CITOHL, Centre Hospitalier Lyon-Sud, GINECO, GINEGEPS, 69495 Lyon, France
| | - Ingrid A. Boere
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
| | | | | | - Cécile Proust-Lima
- UMR1219, Bordeaux Population Health Research Center, Inserm, University of Bordeaux, 33000 Bordeaux, France
| | - Xavier Paoletti
- Faculty of Medicine, University of Versailles Saint-Quentin, Université Paris Saclay, 78000 Versailles, France
- INSERM U900, Statistics for Personalized Medicine, Institut Curie, 92210 Saint-Cloud, France
| |
Collapse
|
15
|
Wang CW, Hanson EK, Minkoff L, Whelan RJ. Individual recombinant repeats of MUC16 display variable binding to CA125 antibodies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.08.527749. [PMID: 36798296 PMCID: PMC9934600 DOI: 10.1101/2023.02.08.527749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
BACKGROUND Despite its importance in the clinical management of ovarian cancer, the CA125 biomarker-located on the mucin protein MUC16-is still not completely understood. Questions remain about MUC16's function and structure, specifically the identity and location of the CA125 epitopes. OBJECTIVE The goal of this study was to characterize the interaction of individual recombinant repeats from the tandem repeat domain of MUC16 with antibodies used in the clinical CA125 II test. METHODS Using E. coli expression, we isolated nine repeats from the putative antigenic domain of CA125. Amino acid composition of recombinant repeats was confirmed by high-resolution mass spectrometry. We characterized the binding of four antibodies-OC125, M11, "OC125-like," and "M11-like"-to nine recombinant repeats using Western blotting, indirect enzyme-linked immunosorbent assay (ELISA), and localized surface plasmon resonance (SPR) spectroscopy. RESULTS Each recombinant repeat was recognized by a different combination of CA125 antibodies. OC125 and "OC125-like" antibodies did not bind the same set of recombinant repeats, nor did M11 and "M11-like" antibodies. CONCLUSIONS Characterization of the interactions between MUC16 recombinant repeats and CA125 antibodies will contribute to ongoing efforts to identify the CA125 epitopes and improve our understanding of this important biomarker.
Collapse
Affiliation(s)
- Chien-Wei Wang
- Department of Chemistry, University of Kansas, Lawrence, KS, United States of America,Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, United States of America
| | - Eliza K. Hanson
- Department of Chemistry, University of Kansas, Lawrence, KS, United States of America,Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, United States of America
| | - Lisa Minkoff
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, United States of America
| | - Rebecca J. Whelan
- Department of Chemistry, University of Kansas, Lawrence, KS, United States of America,Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, United States of America,Corresponding author: Rebecca J. Whelan, University of Kansas, Multidisciplinary Research Building 220E, University of Kansas, Lawrence, KS, United States of America. Tel.: + 1-785-864-4670;
| |
Collapse
|
16
|
Song Z, Wang X, Fu J, Wang P, Chen X, Zhang D. Copenhagen index (CPH-I) is more favorable than CA125, HE4, and risk of ovarian malignancy algorithm (ROMA): Nomogram prediction models with clinical-ultrasonographic feature for diagnosing ovarian neoplasms. Front Surg 2023; 9:1068492. [PMID: 36713666 PMCID: PMC9880152 DOI: 10.3389/fsurg.2022.1068492] [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: 11/09/2022] [Accepted: 12/27/2022] [Indexed: 01/15/2023] Open
Abstract
Background We aimed to analyze the benign and malignant identification efficiency of CA125, HE4, risk of ovarian malignancy algorithm (ROMA), Copenhagen Index (CPH-I) in ovarian neoplasms and establish a nomogram to improve the preoperative evaluation value of ovarian neoplasms. Methods A total of 3,042 patients with ovarian neoplasms were retrospectively classified according to postoperative pathological diagnosis [benign, n = 2389; epithelial ovarian cancer (EOC), n = 653]. The patients were randomly divided into training and test cohorts at a ratio of 7:3. Using CA125, HE4, ROMA, and CPH-I, Receiver operating characteristic (ROC) curves corresponding to different truncation values were calculated and compared, and optimal truncation values were selected. Clinical and imaging risk factors were calculated using univariate regression, and significant variables were selected for multivariate regression analysis combined with ROMA and CPH-I. Nomograms were constructed to predict the occurrence of EOC, and the accuracy was assessed by external validation. Results When the cutoff value of CA125, HE4, ROMA, and CPH-I was 100 U/ml, 70 pmol/L, 12.5/14.4% (premenopausal/postmenopausal) and 5%, respectively, the AUC was 0.674, 0.721, 0.750 and 0.769, respectively. From univariate regression, the clinical risk factors were older age, menopausal status, higher birth rate, hypertension, and diabetes; imaging risk factors were multilocular tumors, solid nodules, bilateral tumors, larger tumor diameter, and ascites. The AUC of the nomogram containing ROMA and CPH-I was 0.8914 and 0.9114, respectively, which was better than the prediction accuracies of CA125, HE4, ROMA, and CPH-I alone. The nomogram with CPH-I was significantly better than that with ROMA (P < 0.001), and a nomogram decision curve analysis (DCA) containing CPH-I seemed to have better clinical benefits than ROMA. For external validation of this nomogram containing ROMA and CPH-I, the C-indices were 0.889 and 0.900, and the calibration curves were close to 45°, showing good agreement with the predicted values. Conclusion We conclude that CPH-I and ROMA have higher diagnostic values in the preoperative diagnosis of EOC than other single tumor markers like CA125 or HE4. A nomogram based on CPH-I and ROMA with clinical and ultrasonic indicators had a better diagnostic value, and the CPH-I nomogram had the highest diagnostic efficacy.
Collapse
Affiliation(s)
- Zixuan Song
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiaoxue Wang
- Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jiajun Fu
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Pengyuan Wang
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xueting Chen
- Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, China
| | - Dandan Zhang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China,Correspondence: Dandan Zhang
| |
Collapse
|
17
|
Rashid G, Khan NA, Elsori D, Rehman A, Tanzeelah, Ahmad H, Maryam H, Rais A, Usmani MS, Babker AM, Kamal MA, Hafez W. Non-steroidal anti-inflammatory drugs and biomarkers: A new paradigm in colorectal cancer. Front Med (Lausanne) 2023; 10:1130710. [PMID: 36950511 PMCID: PMC10025514 DOI: 10.3389/fmed.2023.1130710] [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: 01/16/2023] [Accepted: 02/08/2023] [Indexed: 03/08/2023] Open
Abstract
Colorectal cancer is a sporadic, hereditary, or familial based disease in its origin, caused due to diverse set of mutations in large intestinal epithelial cells. Colorectal cancer (CRC) is a common and deadly disease that accounts for the 4th worldwide highly variable malignancy. For the early detection of CRC, the most common predictive biomarker found endogenously are KRAS and ctDNA/cfDNA along with SEPT9 methylated DNA. Early detection and screening for CRC are necessary and multiple methods can be employed to screen and perform early diagnosis of CRC. Colonoscopy, an invasive method is most prevalent for diagnosing CRC or confirming the positive result as compared to other screening methods whereas several non-invasive techniques such as molecular analysis of breath, urine, blood, and stool can also be performed for early detection. Interestingly, widely used medicines known as non-steroidal anti-inflammatory drugs (NSAIDs) to reduce pain and inflammation have reported chemopreventive impact on gastrointestinal malignancies, especially CRC in several epidemiological and preclinical types of research. NSAID acts by inhibiting two cyclooxygenase enzymes, thereby preventing the synthesis of prostaglandins (PGs) and causing NSAID-induced apoptosis and growth inhibition in CRC cells. This review paper majorly focuses on the diversity of natural and synthetic biomarkers and various techniques for the early detection of CRC. An approach toward current advancement in CRC detection techniques and the role of NSAIDs in CRC chemoprevention has been explored systematically. Several prominent governing mechanisms of the anti-cancer effects of NSAIDs and their synergistic effect with statins for an effective chemopreventive measure have also been discussed in this review paper.
Collapse
Affiliation(s)
- Gowhar Rashid
- Department of Amity Medical School, Amity University, Gurugram, India
- *Correspondence: Gowhar Rashid,
| | - Nihad Ashraf Khan
- Department of Biosciences, Jamia Millia Islamia, Central University, New Delhi, India
| | - Deena Elsori
- Faculty of Resillience, Deans Office Rabdan Academy, Abu Dhabi, United Arab Emirates
| | - Andleeb Rehman
- Department of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Tanzeelah
- Department of Biochemistry, University of Kashmir, Srinagar, India
| | - Haleema Ahmad
- Department of Biochemistry, Faculty of Life Sciences, AMU, Aligarh, India
| | - Humaira Maryam
- Department of Biochemistry, Faculty of Life Sciences, AMU, Aligarh, India
| | - Amaan Rais
- Department of Biochemistry, Faculty of Life Sciences, AMU, Aligarh, India
| | - Mohd Salik Usmani
- The Department of Surgery, Faculty of Medicine, JNMCH, AMU, Uttar Pradesh, India
| | - Asaad Ma Babker
- Department of Medical Laboratory Sciences, Gulf Medical University, Ajman, United Arab Emirates
| | - Mohammad Azhar Kamal
- Department of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
| | - Wael Hafez
- Department of Internal Medicine, NMC Royal Hospital, Abu Dhabi, United Arab Emirates
- The Medical Research Division, Department of Internal Medicine, The National Research Center, Ad Doqi, Egypt
| |
Collapse
|
18
|
Babeker H, Ketchemen JP, Annan Sudarsan A, Andrahennadi S, Tikum AF, Nambisan AK, Fonge H, Uppalapati M. Engineering of a Fully Human Anti-MUC-16 Antibody and Evaluation as a PET Imaging Agent. Pharmaceutics 2022; 14:pharmaceutics14122824. [PMID: 36559316 PMCID: PMC9785263 DOI: 10.3390/pharmaceutics14122824] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/16/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022] Open
Abstract
Antibodies that recognize cancer biomarkers, such as MUC16, can be used as vehicles to deliver contrast agents (imaging) or cytotoxic payloads (therapy) to the site of tumors. MUC16 is overexpressed in 80% of epithelial ovarian cancer (EOC) and 65% of pancreatic ductal adenocarcinomas (PDAC), where effective ‘theranostic’ probes are much needed. This work aims to develop fully human antibodies against MUC16 and evaluate them as potential immuno-PET imaging probes for detecting ovarian and pancreatic cancers. We developed a fully human monoclonal antibody, M16Ab, against MUC16 using phage display. M16Ab was conjugated with p-SCN-Bn-DFO and radiolabeled with 89Zr. 89Zr-DFO-M16Ab was then evaluated for binding specificity and affinity using flow cytometry. In vivo evaluation of 89Zr-DFO-M16Ab was performed by microPET/CT imaging at different time points at 24−120 h post injection (p.i.) and ex vivo biodistribution studies in mice bearing MUC16-expressing OVCAR3, SKOV3 (ovarian) and SW1990 (pancreatic) xenografts. 89Zr-DFO-M16Ab bound specifically to MUC16-expressing cancer cells with an EC50 of 10nM. 89Zr-DFO-M16Ab was stable in serum and showed specific uptake and retention in tumor xenografts even after 120 h p.i. (microPET/CT) with tumor-to-blood ratios > 43 for the SW1990 xenograft. Specific tumor uptake was observed for SW1990/OVCAR3 xenografts but not in MUC16-negative SKOV3 xenografts. Pharmacokinetic study shows a relatively short distribution (t1/2α) and elimination half-life (t1/2ß) of 4.4 h and 99 h, respectively. In summary, 89Zr-DFO-M16Ab is an effective non-invasive imaging probe for ovarian and pancreatic cancers and shows promise for further development of theranostic radiopharmaceuticals.
Collapse
Affiliation(s)
- Hanan Babeker
- Department of Pathology and Laboratory Medicine, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
- Department of Medical Imaging, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 0W8, Canada
| | - Jessica Pougoue Ketchemen
- Department of Medical Imaging, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 0W8, Canada
| | - Arunkumar Annan Sudarsan
- Department of Pathology and Laboratory Medicine, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
| | - Samitha Andrahennadi
- Department of Pathology and Laboratory Medicine, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
| | - Anjong Florence Tikum
- Department of Medical Imaging, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 0W8, Canada
| | - Anand Krishnan Nambisan
- Department of Medical Imaging, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 0W8, Canada
| | - Humphrey Fonge
- Department of Medical Imaging, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 0W8, Canada
- Department of Medical Imaging, Royal University Hospital Saskatoon, Saskatoon, SK S7N 0W8, Canada
- Correspondence: (H.F.); (M.U.); Tel.: +1-306-966-5137 (M.U.)
| | - Maruti Uppalapati
- Department of Pathology and Laboratory Medicine, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
- Correspondence: (H.F.); (M.U.); Tel.: +1-306-966-5137 (M.U.)
| |
Collapse
|
19
|
Xiong L, Tan J, Feng Y, Wang D, Liu X, Feng Y, Li S. Protein expression profiling identifies a prognostic model for ovarian cancer. BMC Womens Health 2022; 22:292. [PMID: 35840928 PMCID: PMC9284690 DOI: 10.1186/s12905-022-01876-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 07/11/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Owing to the high morbidity and mortality, ovarian cancer has seriously endangered female health. Development of reliable models can facilitate prognosis monitoring and help relieve the distress.
Methods
Using the data archived in the TCPA and TCGA databases, proteins having significant survival effects on ovarian cancer patients were screened by univariate Cox regression analysis. Patients with complete information concerning protein expression, survival, and clinical variables were included. A risk model was then constructed by performing multiple Cox regression analysis. After validation, the predictive power of the risk model was assessed. The prognostic effect and the biological function of the model were evaluated using co-expression analysis and enrichment analysis.
Results
394 patients were included in model construction and validation. Using univariate Cox regression analysis, we identified a total of 20 proteins associated with overall survival of ovarian cancer patients (p < 0.01). Based on multiple Cox regression analysis, six proteins (GSK3α/β, HSP70, MEK1, MTOR, BAD, and NDRG1) were used for model construction. Patients in the high-risk group had unfavorable overall survival (p < 0.001) and poor disease-specific survival (p = 0.001). All these six proteins also had survival prognostic effects. Multiple Cox regression analysis demonstrated the risk model as an independent prognostic factor (p < 0.001). In receiver operating characteristic curve analysis, the risk model displayed higher predictive power than age, tumor grade, and tumor stage, with an area under the curve value of 0.789. Analysis of co-expressed proteins and differentially expressed genes based on the risk model further revealed its prognostic implication.
Conclusions
The risk model composed of GSK3α/β, HSP70, MEK1, MTOR, BAD, and NDRG1 could predict survival prognosis of ovarian cancer patients efficiently and help disease management.
Collapse
|
20
|
Ovarian cancer detection using optimized machine learning models with adaptive differential evolution. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|
21
|
Manasa G, Mascarenhas RJ, Shetti NP, Malode SJ, Aminabhavi TM. Biomarkers for Early Diagnosis of Ovarian Carcinoma. ACS Biomater Sci Eng 2022; 8:2726-2746. [PMID: 35762531 DOI: 10.1021/acsbiomaterials.2c00390] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The leading cause of gynecological cancer-related morbidity and mortality is ovarian cancer (OC), which is dubbed a silent killer. Currently, OC is a target of intense biomarker research, because it is often not discovered until the disease is advanced. The goal of OC research is to develop effective tests using biomarkers that can detect the disease at the earliest stages, which would eventually decrease the mortality, thereby preventing recurrence. Therefore, there is a pressing need to revisit the existing biomarkers to recognize the potential biomarkers that can lead to efficient predictors for the OC diagnosis. This Perspective covers an update on the currently available biomarkers used in the triaging of OC to gain certain insights into the potential role of these biomarkers and their estimation that are crucial to the understanding of neoplasm progression, diagnostics, and therapy.
Collapse
Affiliation(s)
- G Manasa
- Electrochemistry Research Group, St. Joseph's College, Lalbagh Road, Bangalore - 560027, Karnataka, India
| | - Ronald J Mascarenhas
- Electrochemistry Research Group, St. Joseph's College, Lalbagh Road, Bangalore - 560027, Karnataka, India
| | - Nagaraj P Shetti
- Department of Chemistry, School of Advanced Sciences, KLE Technological University, Vidhyanagar, Hubballi - 580031, Karnataka, India
| | - Shweta J Malode
- Department of Chemistry, School of Advanced Sciences, KLE Technological University, Vidhyanagar, Hubballi - 580031, Karnataka, India
| | - Tejraj M Aminabhavi
- Department of Chemistry, School of Advanced Sciences, KLE Technological University, Vidhyanagar, Hubballi - 580031, Karnataka, India
| |
Collapse
|
22
|
Turan H, Vitale SG, Kahramanoglu I, Della Corte L, Giampaolino P, Azemi A, Durmus S, Sal V, Tokgozoglu N, Bese T, Arvas M, Demirkiran F, Gelisgen R, Ilvan S, Uzun H. Diagnostic and prognostic role of TFF3, Romo-1, NF-кB and SFRP4 as biomarkers for endometrial and ovarian cancers: a prospective observational translational study. Arch Gynecol Obstet 2022; 306:2105-2114. [PMID: 35461390 PMCID: PMC9633503 DOI: 10.1007/s00404-022-06563-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 04/01/2022] [Indexed: 12/24/2022]
Abstract
Purpose This study aimed to evaluate trefoil factor 3 (TFF3), secreted frizzled-related protein 4 (sFRP4), reactive oxygen species modulator 1 (Romo1) and nuclear factor kappa B (NF-κB) as diagnostic and prognostic markers of endometrial cancer (EC) and ovarian cancer (OC). Methods Thirty-one patients with EC and 30 patients with OC undergone surgical treatment were enrolled together with 30 healthy controls in a prospective study. Commercial ELISA kits determined serum TFF-3, Romo-1, NF-кB and sFRP-4 concentrations. Results Serum TFF-3, Romo-1 and NF-кB levels were significantly higher in patients with EC and OC than those without cancer. Regarding EC, none of the serum biomarkers differs significantly between endometrial and non-endometrioid endometrial carcinomas. Mean serum TFF-3 and NF-кB levels were significantly higher in advanced stages. Increased serum levels of TFF-3 and NF-кB were found in those with a higher grade of the disease. Regarding OC, none of the serum biomarkers differed significantly among histological subtypes. Significantly increased serum levels of NF-кB were observed in patients with advanced-stage OC than those with stage I and II diseases. No difference in serum biomarker levels was found between those who had a recurrence and those who had not. The sensibility and specificity of these four biomarkers in discriminating EC and OC from the control group showed encouraging values, although no one reached 70%. Conclusions TFF-3, Romo-1, NF-кB and SFRP4 could represent new diagnostic and prognostic markers for OC and EC. Further studies are needed to validate our results.
Collapse
Affiliation(s)
- Hasan Turan
- Department of Gynecologic Oncology, Health Science University, Cam Sakura Training and Research Hospital, Istanbul, Turkey
| | - Salvatore Giovanni Vitale
- Obstetrics and Gynecology Unit, Department of General Surgery and Medical Surgical Specialties, University of Catania, Via Santa Sofia 78, 95123, Catania, Italy.
| | | | - Luigi Della Corte
- Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples, Naples, Italy
| | - Pierluigi Giampaolino
- Department of Public Health, University of Naples Federico II, Via Sergio Pansini, Naples, Italy
| | - Asli Azemi
- Department of Biochemistry, School of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Sinem Durmus
- Department of Biochemistry, School of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Veysel Sal
- Department of Obstetrics and Gynecology, Memorial Bahcelievler Hospital, Istanbul, Turkey
| | - Nedim Tokgozoglu
- Department of Gynecologic Oncology, Okmeydanı Training and Research Hospital, Istanbul, Turkey
| | - Tugan Bese
- Department of Gynecologic Oncology, School of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Macit Arvas
- Department of Gynecologic Oncology, American Hospital, Istanbul, Turkey
| | - Fuat Demirkiran
- Department of Gynecologic Oncology, School of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Remise Gelisgen
- Department of Biochemistry, School of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Sennur Ilvan
- Department of Pathology, School of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Hafize Uzun
- Department of Biochemistry, School of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| |
Collapse
|
23
|
Doluoglu SG, Karaca M, Erol O. Correlation of Preoperative Serum and Intraoperative Peritoneal Lavage Fluid Ca-125 Levels with Postoperative Tumor Histology in Patients with Endometrial Cancer: A Prospective-Controlled Study. J INVEST SURG 2022; 35:1248-1252. [PMID: 34991426 DOI: 10.1080/08941939.2021.2024307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND The role of Ca-125 in endometrial cancer is not fully known. Some authors have reported high Ca-125 levels in patients with recurrent or advanced endometrial cancer, whereas others have stated that Ca-125 levels and the advance of the disease were not correlated in endometrial cancer. This makes it inevitable for clinicians to search for different measurement methods or interpretation of the present tumor markers. The aim of this study was to evaluate the relationship between Ca-125 values of the serum and abdominal lavage fluid and postoperative histopathological parameters in patients with endometrial carcinoma. METHODS The study included patients who were diagnosed with endometrial cancer in the Gynecology Clinic and were planned to undergo surgery. The correlations of clinicopathological parameters with preoperative values of Ca-125 measured from serum and abdominal lavage fluid were investigated. The Spearman correlation test was applied in the analysis of correlations of serum and abdominal lavage fluid Ca-125 values with postoperative tumor characteristics. RESULTS The serum Ca-125 values were determined to be positively correlated with surgical stage, tumor diameter, and lymph node involvement (p = 0.03; p = 0.04; and p = 0.01, respectively). No correlation was determined between tumor grade and serum Ca-125 level. The level of Ca-125 in the abdominal lavage fluid was observed to be correlated with surgical stage and tumor grade, but not with tumor diameter or lymph node involvement (p = 0.01, p = 0.04, respectively). CONCLUSIONS The value of Ca-125 in the abdominal lavage fluid has a positive correlation with the surgical stage and tumor grade in patients with endometrial carcinoma.
Collapse
Affiliation(s)
- Suleyman Gunhan Doluoglu
- Department of Obstetrics and Gynecology, Antalya Training and Research Hospital, University of Medical Sciences, Antalya, Turkey
| | | | | |
Collapse
|
24
|
Liu P, Huang H, Qi X, Bian C, Cheng M, Liu L, Xue L, Zhao X, Yi T, Quan Y. Hypoxia-Induced LncRNA-MIR210HG Promotes Cancer Progression By Inhibiting HIF-1α Degradation in Ovarian Cancer. Front Oncol 2021; 11:701488. [PMID: 34900667 PMCID: PMC8655245 DOI: 10.3389/fonc.2021.701488] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 11/08/2021] [Indexed: 01/16/2023] Open
Abstract
LncRNA-MIR210HG plays crucial roles in the progression of diverse cancers. However, the expression and function of MIR210HG in ovarian cancer remains unclear. In the present study, we aimed to determine the expression and function of lncRNA-MIR210HG in ovarian cancer under hypoxic conditions. MIR210HG expression in ovarian cancer cells under hypoxic conditions was determined by qPCR analysis, and the distribution was determined by FISH and qPCR analysis based on cell nucleus and cytosol RNA extraction. Epithelial-Mesenchymal Transition (EMT) assay and human umbilical vein endothelial cell-based tube formation and migration assays were employed to determine the potential function of MIR210HG in vitro, followed by establishment of a subcutaneous tumor model in mice. The direct target of MIR210HG was determined by RNA pull-down and western blotting. Furthermore, the expression and clinical correlation of MIR210HG was determined based on malignant tissues from ovarian cancer patients. Our results indicated that MIR210HG was induced by hypoxia, which is HIF-1α dependent and mainly located in the cytosol of ovarian cancer cells. Knockdown of MIR210HG significantly inhibited EMT and tumor angiogenesis in vitro and impaired tumor growth in mice. Molecular investigations indicated that MIR210HG directly targets HIF-1α protein and inhibits VHL-dependent HIF-1α protein degradation in ovarian cancer. Further results demonstrated that MIR210HG was upregulated in ovarian cancer tissues and correlated with tumor progression and poor prognosis of ovarian cancer patients. Our study suggests that hypoxia-induced MIR210HG promotes cancer progression by inhibiting HIF-1α degradation in ovarian cancer, which could be a therapeutic target for ovarian cancer.
Collapse
Affiliation(s)
- Ping Liu
- Department of Gynecology and Obstetrics, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
| | - Huiqiong Huang
- Department of Gynecology and Obstetrics, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
| | - Xiaorong Qi
- Department of Gynecology and Obstetrics, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
| | - Ce Bian
- Department of Gynecology and Obstetrics, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
| | - Meng Cheng
- Department of Gynecology and Obstetrics, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
| | - Lili Liu
- Department of Gynecology and Obstetrics, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
| | - Luqi Xue
- Department of Gynecology and Obstetrics, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
| | - Xia Zhao
- Department of Gynecology and Obstetrics, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
| | - Tao Yi
- Department of Gynecology and Obstetrics, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
| | - Yi Quan
- Department of Gynecology and Obstetrics, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
| |
Collapse
|
25
|
El Bairi K, Al Jarroudi O, Afqir S. Revisiting antibody-drug conjugates and their predictive biomarkers in platinum-resistant ovarian cancer. Semin Cancer Biol 2021; 77:42-55. [PMID: 33812984 DOI: 10.1016/j.semcancer.2021.03.031] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/07/2021] [Accepted: 03/27/2021] [Indexed: 02/05/2023]
Abstract
Until to date, platinum derived drugs are still the backbone of treating ovarian cancer (OC). Most patients treated with platinum-based chemotherapy develop resistance during the course of their management. The treatment of platinum-resistant ovarian cancer (PROC) is challenging. Few therapeutic options are available for patients with this aggressive disease. Besides, there are liminal advances regarding new anticancer drugs as well as validated predictive biomarkers of clinical outcomes in this setting. The enrollment of PROC patients in interventional studies is limited as compared to newly launched clinical trials for platinum-sensitive OC. Enthusiastically, the emergence of antibody-drug conjugates (ADCs) has provided promising findings for further clinical development in PROC. ADCs have the advantage to selectively deliver cytotoxic drugs to cancer cells expressing several of antigens using specific monoclonal antibodies based on the concept of immune bioconjugation. This innovative class of therapeutics showed encouraging early signs of clinical efficacy in PROC particularly mirvetuximab soravtansine that has been successfully introduced into three randomized and controlled phase III studies. In this review, the evidence from clinical trials supporting the development of ADCs targeting folate receptor alpha, sodium-dependent phosphate transporter 2B, dipeptidase 3, mesothelin, mucin 16, and tissue factor using various cytotoxic payloads in PROC is reviewed.
Collapse
Affiliation(s)
- Khalid El Bairi
- Department of Medical Oncology, Mohammed VI University Hospital, Oujda, Morocco; Faculty of Medicine and Pharmacy, Mohammed Ist University, Oujda, Morocco.
| | - Ouissam Al Jarroudi
- Department of Medical Oncology, Mohammed VI University Hospital, Oujda, Morocco; Faculty of Medicine and Pharmacy, Mohammed Ist University, Oujda, Morocco
| | - Said Afqir
- Department of Medical Oncology, Mohammed VI University Hospital, Oujda, Morocco; Faculty of Medicine and Pharmacy, Mohammed Ist University, Oujda, Morocco
| |
Collapse
|
26
|
Kight EC, Hussain I, Bowden AK, Haselton FR. Recurrence monitoring for ovarian cancer using a cell phone-integrated paper device to measure the ovarian cancer biomarker HE4/CRE ratio in urine. Sci Rep 2021; 11:21945. [PMID: 34754053 PMCID: PMC8578327 DOI: 10.1038/s41598-021-01544-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 10/21/2021] [Indexed: 12/14/2022] Open
Abstract
Ovarian cancer has a poor cure rate and rates of relapse are high. Current recurrence detection is limited by non-specific methods such as blood testing and ultrasound. Based on reports that human epididymis four (HE4) / creatinine (CRE) ratios found in urine are elevated in ovarian cancers, we have developed a paper-based device that combines lateral flow technology and cell phone analysis to quantitatively measure HE4/CRE. Surrogate samples were used to test the performance over clinically expected HE4/CRE ratios. For HE4/CRE ratios of 2 to 47, the percent error was found to be 16.0% on average whether measured by a flatbed scanner or cell phone. There was not a significant difference between the results from the cell phone or scanner. Based on published studies, error in this method was less than the difference required to detect recurrence. This promising new tool, with further development, could be used at home or in low-resource settings to provide timely detection of ovarian cancer recurrence.
Collapse
Affiliation(s)
- Emily C Kight
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37232, USA
| | - Iftak Hussain
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37232, USA.,Vanderbilt Biophotonics Center, Vanderbilt University, Nashville, TN, 37232, USA
| | - Audrey K Bowden
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37232, USA.,Vanderbilt Biophotonics Center, Vanderbilt University, Nashville, TN, 37232, USA
| | - Frederick R Haselton
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37232, USA. .,Department of Chemistry, Vanderbilt University, Nashville, TN, 37232, USA.
| |
Collapse
|
27
|
Cui Y, Yao J, Wang S, Zhao J, Dong J, Liao L. The Clinical and Pathological Characteristics of Malignant Struma Ovarii: An Analysis of 144 Published Patients. Front Oncol 2021; 11:645156. [PMID: 33763376 PMCID: PMC7982850 DOI: 10.3389/fonc.2021.645156] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 02/08/2021] [Indexed: 01/20/2023] Open
Abstract
The objective of this study is to summarize the clinical and pathologic characteristics of malignant struma ovarii to facilitate the early diagnosis and treatment of this disease. All 144 patients were females from 27 countries. The mean age of the patients at diagnosis was 42.6 years. Overall, 35.71% of the patients underwent unilateral oophorectomy, 58.57% of the patients underwent bilateral oophorectomy, 5.72% of the patients were not ovariectomized, and 38.57% of the patients received radioactive iodine treatment with an average dose of 158.22 mCI each time. “Impure” types accounted for 70.19% of the cases, while pure types accounted for 29.81% of the cases. Among these cases, papillary thyroid carcinoma accounted for 50.00%, follicular thyroid carcinoma accounted for 26.47%, follicular variant of papillary thyroid carcinoma accounted for 18.63%, papillary and follicular mixed thyroid carcinoma accounted for 2.94%, anaplastic carcinoma accounted for 0.98%, and medullary carcinoma accounted for 0.98%. In total, 21 patients (51.22%) had elevated CA125. More than half of the patients (51.94%) had metastasis outside the ovary. The most common metastatic site was the pelvic cavity. The misdiagnosis rate was 17.27%. Mortality was related to metastasis and the cancer type. Gene mutations were found in the NRAS, KRAS, BRAF, and KIT genes and were similar to those in thyroid carcinoma, but some patients (37.5%) did not exhibit any gene mutations. Regardless of the treatment received, the survival rate is high. Treatment could initially include ovariectomy; however, in cases with metastasis and iodine uptake of the metastatic tumor, thyroidectomy, radioactive iodine therapy, and thyroid hormone inhibiting therapy are indicated.
Collapse
Affiliation(s)
- Yuying Cui
- Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Institute of Nephrology, Jinan, China.,College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jinming Yao
- Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Institute of Nephrology, Jinan, China.,Department of Endocrinology and Metabology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China
| | - Shengnan Wang
- Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Institute of Nephrology, Jinan, China
| | - Junyu Zhao
- Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Institute of Nephrology, Jinan, China
| | - Jianjun Dong
- Department of Endocrinology and Metabology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Lin Liao
- Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Institute of Nephrology, Jinan, China.,Department of Endocrinology and Metabology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China
| |
Collapse
|
28
|
Huang Y, Ming X, Li B, Li Z. Histological Characteristics and Early-Stage Diagnosis Are Associated With Better Survival in Young Patients With Epithelial Ovarian Cancer: A Retrospective Analysis Based on Surveillance Epidemiology and End Results Database. Front Oncol 2020; 10:595789. [PMID: 33425749 PMCID: PMC7787102 DOI: 10.3389/fonc.2020.595789] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 11/19/2020] [Indexed: 02/05/2023] Open
Abstract
PURPOSE To analyze the potential prognostic factors of epithelial ovarian cancer (EOC) in women aged under 35 compared to those aged 60-79. METHODS Cases were retrospectively obtained from SEER database. Clinical characteristics, such as race, histological type, AJCC stage, laterality of tumors, CA125 results, and surgical strategies, were analyzed in < 35 years group and 60-79 years group. Kaplan-Meier survival curves were used to evaluate overall survival (OS) and cause-specific survival (CSS). Cox proportional hazard model was used to identify the predictors for CSS. RESULTS Sixteen thousand eight hundred forty-seven EOC patients diagnosed in 2004-2015 were identified from SEER database, with 1,015 aged under 35 and 15,833 aged 60-79. In < 35 years group, mucinous (32.2%) was the most common histological type, followed by high-grade serous (26.6%) and endometrioid (18.3%), while in 60-79 years group, high-grade serous (68.3%) represented the leading histological type. Most young women were diagnosed at stage I (57.7%), while most old women were diagnosed at stage (48.1%). Both 5-year OS and 5-year CSS were higher in < 35 years group (5-year OS: 76.00% vs 40.18%, p < 0.001; 5-year CSS: 83.56% vs 55.18%, p < 0.001). The multivariate analysis identified histological type and stage as prognostic factors for CSS in both groups. Endometrioid represented a positive predictor for CSS, while carcinosarcoma and malignant Brenner were related to a worse CSS. (< 35 years group: carcinosarcoma vs endometrioid: HR 5.630, p=0.024; malignant Brenner vs endometrioid: HR 4.005, p < 0.001; 60-79 years group: carcinosarcoma vs endometrioid: HR 3.606, p < 0.001; malignant Brenner vs endometrioid: HR 2.291, p < 0.001). Tumors laterality, CA125 levels, surgery and lymphadenectomy failed to be associated with the CSS in < 35 years group, while found to be independent risk factors in 60-79 years group. CONCLUSION EOC women aged under 35 had a better survival outcome over EOC women aged 60-79, owing to high proportion of endometrioid and mucinous types in histology, as well as early-stage diagnosis. Identification of histological types and gene profiles should be underscored in young EOC patients.
Collapse
Affiliation(s)
- Yue Huang
- Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Xiu Ming
- Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Bingjie Li
- Department of Biotherapy, Cancer Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center, Chengdu, China
| | - Zhengyu Li
- Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| |
Collapse
|