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Akkour K, Alanazi IO, Alfadda AA, Masood A, Alhalal H, Joy SS, Bassi A, Alshehri E, Alwehaibi MA, Arafah M, Benabdelkamel H. Plasma-based proteomic profiling identifies the distinct regulation of proteins in hyperplasia and endometrial cancer. BMC Cancer 2024; 24:752. [PMID: 38902713 PMCID: PMC11191338 DOI: 10.1186/s12885-024-12522-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 06/14/2024] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND Among gynaecological malignancies, endometrial cancer (EC) is the most prevalent type of uterine cancer affecting women. This study explored the proteomic profiles of plasma samples obtained from EC patients, those with hyperplasia (Hy), and a control group (CO). A combination of techniques, such as 2D-DIGE, mass spectrometry, and bioinformatics, including pathway analysis, was used to identify proteins with modified expression levels, biomarkers and their associated metabolic pathways in these groups. METHODS Thirty-four patients, categorized into three groups-10 with EC, 12 with Hy, and 12 CO-between the ages of 46 and 75 years old were included in the study. Untargeted proteomic analysis was carried out using two-dimensional difference in gel electrophoresis (2D-DIGE) coupled with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). RESULTS In all three groups, 114 proteins that were significantly (p ≤ 0.05 and fold change ≥ 1.5) altered were successfully identified using peptide mass fingerprints (PMFs). Compared with those in the control group (CO), the EC samples had 85 differentially expressed proteins (39 upregulated and 46 downregulated), and in the Hy group, 81 proteins were dysregulated (40 upregulated and 41 downregulated) compared to those in the CO group, while 33 proteins exhibited differential regulation (12 upregulated and 21 downregulated) in the EC plasma samples compared to those in the Hy group. Vitamin D binding protein and complement C3 distinguished Hy and EC from CO with the greatest changes in expression. Among the differentially expressed proteins identified, enzymes with catalytic activity represented the largest group (42.9%). In terms of biological processes, most of the proteins were involved in cellular processes (28.8%), followed by metabolic processes (16.7%). STRING analysis for protein interactions revealed that the significantly differentially abundant proteins in the three groups are involved in three main biological processes: signalling of complement and coagulation cascades, regulation of insulin-like growth factor (IGF) transport and uptake by insulin-like growth factor binding proteins (IGFBPs), and plasma lipoprotein assembly, remodelling, and clearance. CONCLUSION The identified plasma protein markers have the potential to serve as biomarkers for differentiating between EC and Hy, as well as for early diagnosis and monitoring of cancer progression.
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Affiliation(s)
- Khalid Akkour
- Obstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia
| | - Ibrahim O Alanazi
- Healthy Aging Research Institute, King Abdulaziz City for Science and Technology (KACST), Health Sector, Riyadh, 11442, Saudi Arabia
| | - Assim A Alfadda
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia
- Department of Medicine, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia
| | - Afshan Masood
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia
| | - Hani Alhalal
- Obstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia
| | - Salini Scaria Joy
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia
- Strategic Center for Diabetes Research, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia
| | - Ali Bassi
- Obstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia
| | - Eman Alshehri
- Obstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia
| | - Moudi A Alwehaibi
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia
| | - Maria Arafah
- Department of Pathology, College of Medicine, King Saud University, King Saud University Medical City, Riyadh, 11461, Saudi Arabia
| | - Hicham Benabdelkamel
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
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Liu W, Ma J, Zhang J, Cao J, Hu X, Huang Y, Wang R, Wu J, Di W, Qian K, Yin X. Identification and validation of serum metabolite biomarkers for endometrial cancer diagnosis. EMBO Mol Med 2024; 16:988-1003. [PMID: 38355748 PMCID: PMC11018850 DOI: 10.1038/s44321-024-00033-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 01/24/2024] [Accepted: 01/26/2024] [Indexed: 02/16/2024] Open
Abstract
Endometrial cancer (EC) stands as the most prevalent gynecological tumor in women worldwide. Notably, differentiation diagnosis of abnormity detected by ultrasound findings (e.g., thickened endometrium or mass in the uterine cavity) is essential and remains challenging in clinical practice. Herein, we identified a metabolic biomarker panel for differentiation diagnosis of EC using machine learning of high-performance serum metabolic fingerprints (SMFs) and validated the biological function. We first recorded the high-performance SMFs of 191 EC and 204 Non-EC subjects via particle-enhanced laser desorption/ionization mass spectrometry (PELDI-MS). Then, we achieved an area-under-the-curve (AUC) of 0.957-0.968 for EC diagnosis through machine learning of high-performance SMFs, outperforming the clinical biomarker of cancer antigen 125 (CA-125, AUC of 0.610-0.684, p < 0.05). Finally, we identified a metabolic biomarker panel of glutamine, glucose, and cholesterol linoleate with an AUC of 0.901-0.902 and validated the biological function in vitro. Therefore, our work would facilitate the development of novel diagnostic biomarkers for EC in clinics.
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Affiliation(s)
- Wanshan Liu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Jinglan Ma
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
| | - Juxiang Zhang
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Jing Cao
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Xiaoxiao Hu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
| | - Yida Huang
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Ruimin Wang
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Jiao Wu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Wen Di
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China.
| | - Kun Qian
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China.
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
| | - Xia Yin
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China.
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Njoku K, Pierce A, Chiasserini D, Geary B, Campbell AE, Kelsall J, Reed R, Geifman N, Whetton AD, Crosbie EJ. Detection of endometrial cancer in cervico-vaginal fluid and blood plasma: leveraging proteomics and machine learning for biomarker discovery. EBioMedicine 2024; 102:105064. [PMID: 38513301 PMCID: PMC10960138 DOI: 10.1016/j.ebiom.2024.105064] [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: 12/13/2022] [Revised: 02/16/2024] [Accepted: 03/04/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND The anatomical continuity between the uterine cavity and the lower genital tract allows for the exploitation of uterine-derived biomaterial in cervico-vaginal fluid for endometrial cancer detection based on non-invasive sampling methodologies. Plasma is an attractive biofluid for cancer detection due to its simplicity and ease of collection. In this biomarker discovery study, we aimed to identify proteomic signatures that accurately discriminate endometrial cancer from controls in cervico-vaginal fluid and blood plasma. METHODS Blood plasma and Delphi Screener-collected cervico-vaginal fluid samples were acquired from symptomatic post-menopausal women with (n = 53) and without (n = 65) endometrial cancer. Digitised proteomic maps were derived for each sample using sequential window acquisition of all theoretical mass spectra (SWATH-MS). Machine learning was employed to identify the most discriminatory proteins. The best diagnostic model was determined based on accuracy and model parsimony. FINDINGS A protein signature derived from cervico-vaginal fluid more accurately discriminated cancer from control samples than one derived from plasma. A 5-biomarker panel of cervico-vaginal fluid derived proteins (HPT, LG3BP, FGA, LY6D and IGHM) predicted endometrial cancer with an AUC of 0.95 (0.91-0.98), sensitivity of 91% (83%-98%), and specificity of 86% (78%-95%). By contrast, a 3-marker panel of plasma proteins (APOD, PSMA7 and HPT) predicted endometrial cancer with an AUC of 0.87 (0.81-0.93), sensitivity of 75% (64%-86%), and specificity of 84% (75%-93%). The parsimonious model AUC values for detection of stage I endometrial cancer in cervico-vaginal fluid and blood plasma were 0.92 (0.87-0.97) and 0.88 (0.82-0.95) respectively. INTERPRETATION Here, we leveraged the natural shed of endometrial tumours to potentially develop an innovative approach to endometrial cancer detection. We show proof of principle that endometrial cancers secrete unique protein signatures that can enable cancer detection via cervico-vaginal fluid assays. Confirmation in a larger independent cohort is warranted. FUNDING Cancer Research UK, Blood Cancer UK, National Institute for Health Research.
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Affiliation(s)
- Kelechi Njoku
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Road, Manchester, M13 9WL, UK; Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Department of Clinical Oncology, Christie NHS Foundation Trust, Manchester, UK.
| | - Andrew Pierce
- North Wales Medical School, Bangor University, Bangor, Gwynedd, LL57 2DG, UK
| | - Davide Chiasserini
- Department of Medicine and Surgery, Section of Physiology and Biochemistry, University of Perugia, 06132, Perugia, Italy
| | - Bethany Geary
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dow Street, Dundee, DD1 5EH, UK
| | - Amy E Campbell
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Janet Kelsall
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Rachel Reed
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Nophar Geifman
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, GU2 7XH, UK
| | - Anthony D Whetton
- Veterinary Health Innovation Engine, School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, GU2 7XH, UK
| | - Emma J Crosbie
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Road, Manchester, M13 9WL, UK.
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Xu J, Zhong X, Fan M, Xu Y, Xu Y, Wang S, Luo Z, Huang Y. Enhancing intracellular mRNA precise imaging-guided photothermal therapy with a nucleic acid-based polydopamine nanoprobe. Anal Bioanal Chem 2024; 416:849-859. [PMID: 38006441 DOI: 10.1007/s00216-023-05062-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 11/27/2023]
Abstract
Despite significant advancements in cancer research, real-time monitoring and effective treatment of cancer through non-invasive techniques remain a challenge. Herein, a novel polydopamine (PDA) nucleic acid nanoprobe has been developed for imaging signal amplification of intracellular mRNA and precise photothermal therapy guidance in cancer cells. The PDA nucleic acid nanoprobe (PDA@DNA) is constructed by assembling an aptamer hairpin (H1) labeled with the Cy5 fluorophore and another nucleic acid recognition hairpin (H2) onto PDA nanoparticles (PDA NPs), which have exceptionally high fluorescence quenching ability and excellent photothermal conversion properties. The nanoprobe could facilitate cellular uptake of DNA molecules and their protection from nuclease degradation. Upon recognition and binding to the intracellular mRNA target, a catalytic hairpin assembly (CHA) reaction occurs. The stem of H1 unfolds upon binding, allowing the exposed H1 to hybridize with H2, forming a flat and sturdy DNA double-stranded structure that detaches from the surface of PDA NPs. At the same time, the target mRNA is displaced and engages in a new cyclic reaction, resulting in the recovery and significant amplification of Cy5 fluorescence. Using thymidine kinase1 (TK1) mRNA as a model mRNA, this nanoprobe enables the analysis of TK1 mRNA with a detection limit of 9.34 pM, which is at least two orders of magnitude lower than that of a non-amplifying imaging nucleic acid probe. Moreover, with its outstanding performance for in vitro detection, this nanoprobe excels in precisely imaging tumor cells. Through live-cell TK1 mRNA imaging, it can accurately distinguish between tumor cells and normal cells. Furthermore, when exposed to 808-nm laser irradiation, the nanoprobe fully harnesses exceptional photothermal conversion properties of PDA NPs. This results in a localized temperature increase within tumor cells, which ultimately triggers apoptosis in these tumor cells. The integration of PDA@DNA presents innovative prospects for tumor diagnosis and image-guided tumor therapy, offering the potential for high-precision diagnosis and treatment of tumors.
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Affiliation(s)
- Jiayao Xu
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, 537000, People's Republic of China
| | - Xiaohong Zhong
- Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, 541004, People's Republic of China
| | - Mingzhu Fan
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, 537000, People's Republic of China
| | - Yang Xu
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, 537000, People's Republic of China
| | - Yiqi Xu
- Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, 541004, People's Republic of China
| | - Shulong Wang
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, 537000, People's Republic of China.
| | - Zhihui Luo
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, 537000, People's Republic of China.
| | - Yong Huang
- Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, 541004, People's Republic of China.
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Luz IS, Takaya R, Ribeiro DG, Castro MS, Fontes W. Proteomics: Unraveling the Cross Talk Between Innate Immunity and Disease Pathophysiology, Diagnostics, and Treatment Options. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1443:221-242. [PMID: 38409424 DOI: 10.1007/978-3-031-50624-6_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Inflammation is crucial in diseases, and proteins play a key role in the interplay between innate immunity and pathology. This review explores how proteomics helps understanding this relationship, focusing on diagnosis and treatment. We explore the dynamic innate response and the significance of proteomic techniques in deciphering the complex network of proteins involved in prevalent diseases, including infections, cancer, autoimmune and neurodegenerative disorders. Proteomics identifies key proteins in host-pathogen interactions, shedding light on infection mechanisms and inflammation. These discoveries hold promise for diagnostic tools, therapies, and vaccines. In cancer research, proteomics reveals innate signatures associated with tumor development, immune evasion, and therapeutic response. Additionally, proteomic analysis has unveiled autoantigens and dysregulation of the innate immune system in autoimmunity, offering opportunities for early diagnosis, disease monitoring, and new therapeutic targets. Moreover, proteomic analysis has identified altered protein expression patterns in neurodegenerative diseases like Alzheimer's and Parkinson's, providing insights into potential therapeutic strategies. Proteomics of the innate immune system provides a comprehensive understanding of disease mechanisms, identifies biomarkers, and enables effective interventions in various diseases. Despite still in its early stages, this approach holds great promise to revolutionize innate immunity research and significantly improve patient outcomes across a wide range of diseases.
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Affiliation(s)
- Isabelle Souza Luz
- Laboratory of Protein Chemistry and Biochemistry, Department of Cell Biology, University of Brasilia, Brasília, Federal District, Brazil
| | - Raquel Takaya
- Laboratory of Protein Chemistry and Biochemistry, Department of Cell Biology, University of Brasilia, Brasília, Federal District, Brazil
| | - Daiane Gonzaga Ribeiro
- Laboratory of Protein Chemistry and Biochemistry, Department of Cell Biology, University of Brasilia, Brasília, Federal District, Brazil
| | - Mariana S Castro
- Laboratory of Protein Chemistry and Biochemistry, Department of Cell Biology, University of Brasilia, Brasília, Federal District, Brazil
| | - Wagner Fontes
- Laboratory of Protein Chemistry and Biochemistry, Department of Cell Biology, University of Brasilia, Brasília, Federal District, Brazil.
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Diaz PM, Leehans A, Ravishankar P, Daily A. Multiomic Approaches for Cancer Biomarker Discovery in Liquid Biopsies: Advances and Challenges. Biomark Insights 2023; 18:11772719231204508. [PMID: 37846373 PMCID: PMC10576933 DOI: 10.1177/11772719231204508] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 09/12/2023] [Indexed: 10/18/2023] Open
Abstract
Cancer is a complex and heterogeneous disease that poses a significant threat to global health. Early diagnosis and treatment are critical for improving patient outcomes, and the use of liquid biopsies has emerged as a promising approach for cancer detection and monitoring. Traditionally, cancer diagnosis has relied on invasive tissue biopsies, the collection of which can prove challenging for patients and the results of which may not always provide accurate results due to tumor heterogeneity. Liquid biopsies have gained increasing attention as they provide a non-invasive and accessible source of cancer biomarkers, which can be used to diagnose cancer, monitor treatment response, and detect relapse. The integration of -omics technologies, such as proteomics, genomics, and metabolomics, has further enhanced the capabilities of liquid biopsies by introducing precision oncology and enabling the tailoring of treatment for individual patients based on their unique tumor biology. In this review, we will discuss the challenges and advances in the field of cancer liquid biopsies and the integration of -omics technologies for different types of liquid biopsies, including blood, tear, urine, sweat, saliva, and cerebrospinal fluid.
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Affiliation(s)
- Paola Monterroso Diaz
- Namida Lab Inc., Fayetteville, AR, USA
- University of Arkansas, Department of Biomedical Engineering, Fayetteville, AR, USA
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Huang XW, Ding J, Zheng RR, Ma JY, Cai MT, Powell M, Lin F, Yang YJ, Jin C. An ultrasound-based radiomics model for survival prediction in patients with endometrial cancer. J Med Ultrason (2001) 2023; 50:501-510. [PMID: 37310510 PMCID: PMC10955020 DOI: 10.1007/s10396-023-01331-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 05/23/2023] [Indexed: 06/14/2023]
Abstract
PURPOSE To establish a nomogram integrating radiomics features based on ultrasound images and clinical parameters for predicting the prognosis of patients with endometrial cancer (EC). MATERIALS AND METHODS A total of 175 eligible patients with ECs were enrolled in our study between January 2011 and April 2018. They were divided into a training cohort (n = 122) and a validation cohort (n = 53). Least absolute shrinkage and selection operator (LASSO) regression were applied for selection of key features, and a radiomics score (rad-score) was calculated. Patients were stratified into high risk and low-risk groups according to the rad-score. Univariate and multivariable COX regression analysis was used to select independent clinical parameters for disease-free survival (DFS). A combined model based on radiomics features and clinical parameters was ultimately established, and the performance was quantified with respect to discrimination and calibration. RESULTS Nine features were selected from 1130 features using LASSO regression in the training cohort, which yielded an area under the curve (AUC) of 0.823 and 0.792 to predict DFS in the training and validation cohorts, respectively. Patients with a higher rad-score were significantly associated with worse DFS. The combined nomogram, which was composed of clinically significant variables and radiomics features, showed a calibration and favorable performance for DFS prediction (AUC 0.893 and 0.885 in the training and validation cohorts, respectively). CONCLUSION The combined nomogram could be used as a tool in predicting DFS and may assist individualized decision making and clinical treatment.
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Affiliation(s)
- Xiao-Wan Huang
- Department of Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China
| | - Jie Ding
- Department of Ultrasound Imaging, Yueqing Hospital of Wenzhou Medical University, Wenzhou, 325015, People's Republic of China
| | - Ru-Ru Zheng
- Department of Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China
| | - Jia-Yao Ma
- Department of Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China
| | - Meng-Ting Cai
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China
| | - Martin Powell
- Nottingham Treatment Centre, Nottingham University Affiliated Hospital, Nottingham, NG7 2FT, UK
| | - Feng Lin
- Department of Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China
| | - Yun-Jun Yang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China
| | - Chu Jin
- Wenzhou Medical University Renji College, University Town, Chashan, Wenzhou, 325000, People's Republic of China.
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Taylor AH, Konje JC, Ayakannu T. Identification of Potentially Novel Molecular Targets of Endometrial Cancer Using a Non-Biased Proteomic Approach. Cancers (Basel) 2023; 15:4665. [PMID: 37760635 PMCID: PMC10527058 DOI: 10.3390/cancers15184665] [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: 06/28/2023] [Revised: 08/29/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
The present study was aimed at identifying novel proteins in endometrial cancer (EC), employing proteomic analysis of tissues obtained after surgery. A differential MS-based proteomic analysis was conducted from whole tissues dissected from biopsies from post-menopausal women, histologically confirmed as endometrial cancer (two endometrioid and two serous; n = 4) or normal atrophic endometrium (n = 4), providing 888 differentially expressed proteins with 246 of these previously documented elsewhere as expressed in EC and 372 proteins not previously demonstrated to be expressed in EC but associated with other types of cancer. Additionally, 33 proteins not recorded previously in PubMed as being expressed in any forms of cancer were also identified, with only 26 of these proteins having a publication associated with their expression patterns or putative functions. The putative functions of the 26 proteins (GRN, APP, HEXA, CST3, CAD, QARS, SIAE, WARS, MYH8, CLTB, GOLIM4, SCARB2, BOD1L1, C14orf142, C9orf142, CCDC13, CNPY4, FAM169A, HN1L, PIGT, PLCL1, PMFBP1, SARS2, SCPEP1, SLC25A24 and ZC3H4) in other tissues point towards and provide a basis for further investigation of these previously unrecognised novel EC proteins. The developmental biology, disease, extracellular matrix, homeostatic, immune, metabolic (both RNA and protein), programmed cell death, signal transduction, molecular transport, transcriptional networks and as yet uncharacterised pathways indicate that these proteins are potentially involved in endometrial carcinogenesis and thus may be important in EC diagnosis, prognostication and treatment and thus are worthy of further investigation.
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Affiliation(s)
- Anthony H. Taylor
- Reproductive Sciences Section, Department of Cancer Studies & Molecular Medicine, University of Leicester, Leicester LE1 7RH, UK; (A.H.T.); (J.C.K.)
- Department of Molecular and Cell Biology, University of Leicester, Leicester LE1 7RH, UK
| | - Justin C. Konje
- Reproductive Sciences Section, Department of Cancer Studies & Molecular Medicine, University of Leicester, Leicester LE1 7RH, UK; (A.H.T.); (J.C.K.)
- Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
- Weill Cornell Medicine-Qatar, Al Rayyan, Doha P.O. Box 24144, Qatar
| | - Thangesweran Ayakannu
- Reproductive Sciences Section, Department of Cancer Studies & Molecular Medicine, University of Leicester, Leicester LE1 7RH, UK; (A.H.T.); (J.C.K.)
- Department of Obstetrics & Gynaecology, Taylor’s University, Subang Jaya 47500, Selangor, Malaysia
- Sunway Medical Centre, Bandar Sunway, Subang Jaya 47500, Selangor, Malaysia
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9
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Liu J, Xuan B, Quan Q, Gong S, Mu X. The crucial value of serum ferritin in assessing high-risk factors and prognosis for patients with endometrial carcinoma. BMC Womens Health 2023; 23:415. [PMID: 37550644 PMCID: PMC10408112 DOI: 10.1186/s12905-023-02575-x] [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: 07/28/2022] [Accepted: 07/26/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Endometrial carcinoma is a common malignant tumor in female reproductive system. At present, there is no effective and economic prognostic index. This study aimed to investigate the effect of serum ferritin levels on the prognosis of endometrial carcinoma. METHODS Data of 367 patients who diagnosed with endometrial carcinoma at the First Affiliated Hospital of Chongqing Medical University between January 2012 and August 2018 was retrospectively analyzed. The prediction accuracy was evaluated by receiver operating characteristics curves and Youden's J statistics. Hosmer-lemeshow test was used to confirm the goodness of fit of the model. The prognostic value of serum ferritin on disease free survival (DFS) and overall survival (OS) of endometrial carcinoma was evaluated by univariate log-rank tests and multivariate cox regression models. RESULTS Preoperative high serum ferritin was correlated with older age, high grade, specific histological subtypes and recurrence of endometrial carcinoma (P < 0.05). The DFS and OS of 198 patients with elevated serum ferritin levels were significantly lower than those with low serum ferritin levels (P = 0.001 and P = 0.002, respectively). In multivariate analysis, serum ferritin was an independent prognostic factor for DFS and OS in endometrial carcinoma (P = 0.012, P = 0.028). CONCLUSION Through our research, we found that the high expression of serum ferritin level was not only related to low DFS and OS in patients with endometrial carcinoma, but also related to the high-risk factors of endometrial carcinoma recurrence. So serum ferritin levels may be used to predict the poor prognosis of patients with endometrial carcinoma.
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Affiliation(s)
- Jiali Liu
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, 400016, Chongqing, China
| | - Beibei Xuan
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, 400016, Chongqing, China
| | - Quan Quan
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, 400016, Chongqing, China
| | - Sainan Gong
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, 400016, Chongqing, China
| | - Xiaoling Mu
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, 400016, Chongqing, China.
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10
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Dellino M, Cerbone M, Laganà AS, Vitagliano A, Vimercati A, Marinaccio M, Baldini GM, Malvasi A, Cicinelli E, Damiani GR, Cazzato G, Cascardi E. Upgrading Treatment and Molecular Diagnosis in Endometrial Cancer-Driving New Tools for Endometrial Preservation? Int J Mol Sci 2023; 24:ijms24119780. [PMID: 37298731 DOI: 10.3390/ijms24119780] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 06/12/2023] Open
Abstract
One emerging problem for onco-gynecologists is the incidence of premenopausal patients under 40 years of age diagnosed with stage I Endometrial Cancer (EC) who want to preserve their fertility. Our review aims to define a primary risk assessment that can help fertility experts and onco-gynecologists tailor personalized treatment and fertility-preserving strategies for fertile patients wishing to have children. We confirm that risk factors such as myometrial invasion and The International Federation of Gynecology and Obstetrics (FIGO) staging should be integrated into the novel molecular classification provided by The Cancer Genome Atlas (TCGA). We also corroborate the influence of classical risk factors such as obesity, Polycystic ovarian syndrome (PCOS), and diabetes mellitus to assess fertility outcomes. The fertility preservation options are inadequately discussed with women with a diagnosis of gynecological cancer. A multidisciplinary team of gynecologists, oncologists, and fertility specialists could increase patient satisfaction and improve fertility outcomes. The incidence and death rates of endometrial cancer are rising globally. International guidelines recommend radical hysterectomy and bilateral salpingo-oophorectomy as the standard of care for this cancer; however, fertility-sparing alternatives should be tailored to motivated women of reproductive age, establishing an appropriate cost-benefit balance between childbearing desire and cancer risk. New molecular classifications such as that of TCGA provide a robust supplementary risk assessment tool that can tailor the treatment options to the patient's needs, curtail over- and under-treatment, and contribute to the spread of fertility-preserving strategies.
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Affiliation(s)
- Miriam Dellino
- Obstetrics and Gynaecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Marco Cerbone
- Obstetrics and Gynaecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Antonio Simone Laganà
- Unit of Gynecologic Oncology, ARNAS "Civico-Di Cristina-Benfratelli", Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, 90127 Palermo, Italy
| | - Amerigo Vitagliano
- Obstetrics and Gynaecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Antonella Vimercati
- Obstetrics and Gynaecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Marco Marinaccio
- Obstetrics and Gynaecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70124 Bari, Italy
| | | | - Antonio Malvasi
- Obstetrics and Gynaecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Ettore Cicinelli
- Obstetrics and Gynaecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Gianluca Raffaello Damiani
- Obstetrics and Gynaecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Gerardo Cazzato
- Department of Emergency and Organ Transplantation, Pathology Section, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Eliano Cascardi
- Department of Medical Sciences, University of Turin, 10124 Turin, Italy
- Pathology Unit, FPO-IRCCS Candiolo Cancer Institute, 10060 Candiolo, Italy
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11
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Njoku K, Pierce A, Geary B, Campbell AE, Kelsall J, Reed R, Armit A, Da Sylva R, Zhang L, Agnew H, Baricevic-Jones I, Chiasserini D, Whetton AD, Crosbie EJ. Quantitative SWATH-based proteomic profiling of urine for the identification of endometrial cancer biomarkers in symptomatic women. Br J Cancer 2023; 128:1723-1732. [PMID: 36807337 PMCID: PMC10133303 DOI: 10.1038/s41416-022-02139-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 12/17/2022] [Accepted: 12/30/2022] [Indexed: 02/19/2023] Open
Abstract
BACKGROUND A non-invasive endometrial cancer detection tool that can accurately triage symptomatic women for definitive testing would improve patient care. Urine is an attractive biofluid for cancer detection due to its simplicity and ease of collection. The aim of this study was to identify urine-based proteomic signatures that can discriminate endometrial cancer patients from symptomatic controls. METHODS This was a prospective case-control study of symptomatic post-menopausal women (50 cancers, 54 controls). Voided self-collected urine samples were processed for mass spectrometry and run using sequential window acquisition of all theoretical mass spectra (SWATH-MS). Machine learning techniques were used to identify important discriminatory proteins, which were subsequently combined in multi-marker panels using logistic regression. RESULTS The top discriminatory proteins individually showed moderate accuracy (AUC > 0.70) for endometrial cancer detection. However, algorithms combining the most discriminatory proteins performed well with AUCs > 0.90. The best performing diagnostic model was a 10-marker panel combining SPRR1B, CRNN, CALML3, TXN, FABP5, C1RL, MMP9, ECM1, S100A7 and CFI and predicted endometrial cancer with an AUC of 0.92 (0.96-0.97). Urine-based protein signatures showed good accuracy for the detection of early-stage cancers (AUC 0.92 (0.86-0.9)). CONCLUSION A patient-friendly, urine-based test could offer a non-invasive endometrial cancer detection tool in symptomatic women. Validation in a larger independent cohort is warranted.
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Affiliation(s)
- Kelechi Njoku
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Andrew Pierce
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- School of Medical and Health Sciences, College of Human Sciences, Fron Heulog, Bangor University, Bangor, Gwynedd, LL57 2TH, UK
| | - Bethany Geary
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Amy E Campbell
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Janet Kelsall
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Rachel Reed
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Alexander Armit
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Rachel Da Sylva
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Liqun Zhang
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
| | - Heather Agnew
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Ivona Baricevic-Jones
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Davide Chiasserini
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Department of Medicine and Surgery, Section of Physiology and Biochemistry, University of Perugia, 06132, Perugia, Italy
| | - Anthony D Whetton
- School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK.
| | - Emma J Crosbie
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK.
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
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12
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Qin L. Application value of Ki67 and serum CA125 in the deep myometrial invasion of endometrial adenocarcinoma. BMC Cancer 2023; 23:240. [PMID: 36918859 PMCID: PMC10012582 DOI: 10.1186/s12885-023-10711-x] [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: 11/19/2022] [Accepted: 03/06/2023] [Indexed: 03/16/2023] Open
Abstract
OBJECTIVE To investigate the application value of Ki67 and serum CA125 in diagnosing the deep myometrial invasion of endometrial adenocarcinoma. METHODS This study retrospectively analyzed 80 patients with endometrial adenocarcinoma, who underwent procedure from January 2018 to June 2021 at Senior Department of Obstetrics & Gynecology, the Seventh Medical Center of PLA General Hospital assigned to the Fourth Medical Center. The general clinical data, serum CA125 and Ki67 levels were compared between the superficial muscular infiltration group and the deep myometrial invasion group. We investigated the application value of Ki67 and serum CA125 in diagnosing the deep myometrial invasion of endometrial adenocarcinoma by the ROC curve. RESULTS 80 patients were retrospectively analyzed, and 53 cases were superficial muscular infiltration, 27 cases were deep myometrial invasion. There was significant difference in age, tumor diameter, lymph node metastasis, Ki67, serum CA125, p53 status, serum CA125 and Ki67 levels between the two groups (p < 0.05). As high as 35% of Ki67 was the optimal cutoff value for predicting DMI in endometrial adenocarcinoma, and the area under ROC curve was 0.691, the sensitivity and specificity of diagnosis were 88.9% and 56.6%. As high as 43.645 U/ml of serum CA125 was the optimal cutoff value for predicting DMI in endometrial adenocarcinoma, and the area under ROC curve was 0.668, the sensitivity and specificity of diagnosis were 40.7% and 92.5%. After combined detection of both, the area under ROC curve was 0.719, and its sensitivity and specificity of diagnosis were 96.3% and 43.4%. CONCLUSION Serum CA125 and Ki67 may be used to evaluate DMI in patients with endometrial adenocarcinoma, and the diagnostic value of combination is higher, which provide reference for clinical treatment.
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Affiliation(s)
- Lin Qin
- Senior Department of Obstetrics & Gynecology, The Seventh Medical Center of PLA General Hospital, Beijing, China.
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13
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Serum lipidomic profiling by UHPLC-MS/MS may be able to detect early-stage endometrial cancer. Anal Bioanal Chem 2023; 415:1841-1854. [PMID: 36799979 DOI: 10.1007/s00216-023-04586-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/29/2023] [Accepted: 02/06/2023] [Indexed: 02/18/2023]
Abstract
Nowadays, screening for endometrial cancer (EC) primarily relies on clinical symptoms and imaging, which makes it difficult to detect early-stage disease. Here, we conducted a widely targeted lipidomic analysis of 38 human serum samples in a discovery set and 40 human serum samples in a validation set to profile the dysregulated lipid species and establish lipid biomarkers for early-stage EC. This comprehensive lipidomic determination of 616 serum lipids indicated significant differences between early-stage EC patients and healthy controls. Three phases of lipid biomarker investigation (discovery, validation, and determination of the lipid biomarker panel) were performed, which revealed the upregulation of some sphingolipid, glycerophospholipid, and glycerolipids and downregulation of some carnitine. Consistently, the perturbation of sphingolipid and glycerophospholipid metabolism was also observed from pathway enrichment analysis. Moreover, a lipid biomarker panel, including ursodeoxycholic acid, PC(O-14:0_20:4), and Cer(d18:1/18:0), was established. This panel was assessed as an effective diagnostic model to distinguish early-stage EC patients from healthy controls and atypical endometrial hyperplasia patients within the area under the receiver operating characteristic curve (AUC) reaching 0.903 and 0.928, respectively. In particular, the comparison results of the diagnostic efficacy indicated that the lipid biomarker panel was superior to clinically established indicators for EC diagnosis, including HE4, CA125, CA153, and CA199, suggesting that it could be used as an excellent supplementary method for the diagnosis of early-stage EC. In conclusion, we established a novel and non-invasive lipid biomarker for early-stage EC detection and these findings may provide new insight into the pathological mechanisms of EC.
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14
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Łaniewski P, Cui H, Mahnert ND, Mourad J, Borst MP, Willmott L, Chase DM, Roe DJ, Herbst-Kralovetz MM. Protein biomarkers in cervicovaginal lavages for detection of endometrial cancer. Biomark Res 2022; 10:88. [PMID: 36461062 PMCID: PMC9717501 DOI: 10.1186/s40364-022-00438-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 11/22/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Rates of endometrial cancer (EC) are increasing. For a definitive diagnosis, women undergo various time-consuming and painful medical procedures, such as endometrial biopsy with or without hysteroscopy, and dilation and curettage, which may create a barrier to early detection and treatment, particularly for women with inadequate healthcare access. Thus, there is a need to develop robust EC diagnostics based on non- or minimally-invasive sampling. The objective of this study was to quantify a broad range of immuno-oncology proteins in cervicovaginal lavage (CVL) samples and investigate these proteins as predictive diagnostic biomarkers for EC. METHODS One hundred ninety-two women undergoing hysterectomy for benign or malignant indications were enrolled in this cross-sectional study. Classification of women to four disease groups: benign conditions (n = 108), endometrial hyperplasia (n = 18), low-grade endometrioid carcinoma (n = 53) and other EC subtypes (n = 13) was based on histopathology of biopsy samples collected after the surgery. CVL samples were collected in the operating room during the standard-of-care hysterectomy procedure. Concentrations of 72 proteins in CVL samples were evaluated using multiplex immunoassays. Global protein profiles were assessed using principal component and hierarchical clustering analyses. The relationships between protein levels and disease groups and disease severity were determined using Spearman correlation, univariate and multivariate receiver operating characteristics, and logistic regression analyses. RESULTS Women with EC and benign conditions exhibited distinctive cervicovaginal protein profiles. Several proteins in CVL samples (e.g., an immune checkpoint protein, TIM-3, growth factors, VEGF, TGF-α, and an anti-inflammatory cytokine, IL-10) discriminated EC from benign conditions, particularly, when tested in combinations with CA19-9, CA125, eotaxin, G-CSF, IL-6, MCP-1, MDC, MCP-3 and TRAIL (sensitivity of 86.1% and specificity of 87.9%). Furthermore, specific biomarkers (e.g., TIM-3, VEGF, TGF-α, TRAIL, MCP-3, IL-15, PD-L2, SCF) associated with histopathological tumor characteristics, including histological type and grade, tumor size, presence and depth of myometrial invasion or mismatch repair protein status, implying their potential utility for disease prognosis or monitoring therapies. CONCLUSIONS This proof-of-principle study demonstrated that cervicovaginal sampling coupled with multiplex immunoassay technology can offer a minimally to non-invasive method for EC detection.
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Affiliation(s)
- Paweł Łaniewski
- College of Medicine - Phoenix, University of Arizona, 425 N. 5th St, Phoenix, AZ, 85004, USA
| | - Haiyan Cui
- UA Cancer Center, University of Arizona, 3838 N. Campbell Ave, Tucson, AZ, 85719, USA
| | - Nichole D Mahnert
- College of Medicine - Phoenix, University of Arizona, 425 N. 5th St, Phoenix, AZ, 85004, USA
- Banner - University Medical Center, 1033 E. McDowell Rd, Phoenix, AZ, 85006, USA
| | - Jamal Mourad
- College of Medicine - Phoenix, University of Arizona, 425 N. 5th St, Phoenix, AZ, 85004, USA
- Banner - University Medical Center, 1033 E. McDowell Rd, Phoenix, AZ, 85006, USA
| | - Matthew P Borst
- College of Medicine - Phoenix, University of Arizona, 425 N. 5th St, Phoenix, AZ, 85004, USA
- Banner - University Medical Center, 1033 E. McDowell Rd, Phoenix, AZ, 85006, USA
| | - Lyndsay Willmott
- Arizona Center for Cancer Care, 2222 E. Highland Ave, Phoenix, AZ, 85016, USA
| | - Dana M Chase
- Arizona Center for Cancer Care, 2222 E. Highland Ave, Phoenix, AZ, 85016, USA
| | - Denise J Roe
- UA Cancer Center, University of Arizona, 3838 N. Campbell Ave, Tucson, AZ, 85719, USA
| | - Melissa M Herbst-Kralovetz
- College of Medicine - Phoenix, University of Arizona, 425 N. 5th St, Phoenix, AZ, 85004, USA.
- UA Cancer Center, University of Arizona, 3838 N. Campbell Ave, Tucson, AZ, 85719, USA.
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15
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Ion Channels in Endometrial Cancer. Cancers (Basel) 2022; 14:cancers14194733. [PMID: 36230654 PMCID: PMC9564232 DOI: 10.3390/cancers14194733] [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: 08/19/2022] [Revised: 09/22/2022] [Accepted: 09/23/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary Uterine or endometrial cancer is one of the most common types of cancer among the female population. Different alterations of molecules are related to many types of cancer. Some molecules called ion channels have been described as involved in the development of cancer, including endometrial cancer. We review the scientific evidence about the involvement of the ion channels in endometrial cancer and how some treatments can be developed with these molecules as a target. Even though they are involved in the progression of endometrial cancer, since they are present throughout the whole body, some possible treatments based on these could be studied. Abstract Uterine or endometrial cancer (EC) is the sixth most common neoplasia among women worldwide. Cancer can originate from a myriad of causes, and increasing evidence suggests that ion channels (IC) play an important role in the process of carcinogenesis, taking part in many pathways such as self-sufficiency in growth signals, proliferation, evasion of programmed cell death (apoptosis), angiogenesis, cell differentiation, migration, adhesion, and metastasis. Hormones and growth factors are well-known to be involved in the development and/or progression of many cancers and can also regulate some ion channels and pumps. Since the endometrium is responsive and regulated by these factors, the ICs could make an important contribution to the development and progression of endometrial cancer. In this review, we explore what is beyond (ion) flow regulation by investigating the role of the main families of ICs in EC, including as possible targets for EC treatment.
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Urine CA125 and HE4 for the Triage of Symptomatic Women with Suspected Endometrial Cancer. Cancers (Basel) 2022; 14:cancers14143306. [PMID: 35884367 PMCID: PMC9313438 DOI: 10.3390/cancers14143306] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/21/2022] [Accepted: 07/05/2022] [Indexed: 12/15/2022] Open
Abstract
A simple, noninvasive and accurate detection tool that can triage women with suspected endometrial cancer for definitive testing will transform patient care. The aim of this study was to evaluate urine CA125 and HE4 levels for the detection of endometrial cancer in symptomatic women. This was a cross-sectional diagnostic accuracy study of 153 symptomatic women who underwent urgent diagnostic investigations for suspected endometrial cancer at a large gynecological cancer center. Urine samples were collected prior to routine clinical procedures. Urine CA125 and HE4 levels were determined using automated chemiluminescent enzyme immunoassays. Univariate and multivariable receiver operating characteristic (ROC) curve analyses were performed. Urine CA125 and HE4 were discovered to be significantly elevated in women with endometrial cancer, compared to controls (p < 0.001 and p = 0.01, respectively). Urine CA125 and HE4 detected endometrial cancer with an area under the ROC curve (AUC) of 0.89 (0.81, 0.98) and 0.69 (0.55, 0.83), respectively. CA125 exhibited good discriminatory potential for Type I and early-stage tumors (AUC 0.93 and 0.90, respectively). A diagnostic model that combined urine CA125 and transvaginal ultrasound-measured endometrial thickness predicted endometrial cancer with an AUC of 0.96 (0.91, 1.00). Urine CA125 displays potential as a diagnostic tool for symptomatic women with suspected endometrial cancer. When combined with transvaginal ultrasound-measured endometrial thickness, this patient-friendly, urine-based test could help triage women for invasive diagnostics or safe reassurance, reducing costs and improving patient experience.
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Akkour K, Alanazi IO, Alfadda AA, Alhalal H, Masood A, Musambil M, Rahman AMA, Alwehaibi MA, Arafah M, Bassi A, Benabdelkamel H. Tissue-Based Proteomic Profiling in Patients with Hyperplasia and Endometrial Cancer. Cells 2022; 11:cells11132119. [PMID: 35805203 PMCID: PMC9265283 DOI: 10.3390/cells11132119] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/24/2022] [Accepted: 06/27/2022] [Indexed: 12/24/2022] Open
Abstract
Uterine cancers are among the most prevalent gynecological malignancies, and endometrial cancer (EC) is the most common in this group. This study used tissue-based proteomic profiling analysis in patients with endometrial cancer and hyperplasia, and control patients. Conventional 2D gel electrophoresis, followed by a mass spectrometry approach with bioinformatics, including a network pathway analysis pipeline, was used to identify differentially expressed proteins and associated metabolic pathways between the study groups. Thirty-six patients (twelve with endometrial cancer, twelve with hyperplasia, and twelve controls) were enrolled in this study. The mean age of the participants was 46–75 years. Eighty-seven proteins were significantly differentially expressed between the study groups, of which fifty-three were significantly differentially regulated (twenty-eight upregulated and twenty-five downregulated) in the tissue samples of EC patients compared to the control (Ctrl). Furthermore, 26 proteins were significantly dysregulated (8 upregulated and 18 downregulated) in tissue samples of hyperplasia (HY) patients compared to Ctrl. Thirty-two proteins (nineteen upregulated and thirteen downregulated) including desmin, peptidyl prolyl cis-trans isomerase A, and zinc finger protein 844 were downregulated in the EC group compared to the HY group. Additionally, fructose bisphosphate aldolase A, alpha enolase, and keratin type 1 cytoskeletal 10 were upregulated in the EC group compared to those in the HY group. The proteins identified in this study were known to regulate cellular processes (36%), followed by biological regulation (16%). Ingenuity pathway analysis found that proteins that are differentially expressed between EC and HY are linked to AKT, ACTA2, and other signaling pathways. The panels of protein markers identified in this study could be used as potential biomarkers for distinguishing between EC and HY and early diagnosis and progression of EC from hyperplasia and normal patients.
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Affiliation(s)
- Khalid Akkour
- Obstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (K.A.); (H.A.); (A.B.)
| | - Ibrahim O. Alanazi
- The National Center for Biotechnology (NCB), Life Science and Environment Research Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabia;
| | - Assim A. Alfadda
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (A.A.A.); (A.M.); (M.M.); (M.A.A.)
- Department of Medicine, College of Medicine and King Saud Medical City, King Saud University, Riyadh 11461, Saudi Arabia
| | - Hani Alhalal
- Obstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (K.A.); (H.A.); (A.B.)
| | - Afshan Masood
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (A.A.A.); (A.M.); (M.M.); (M.A.A.)
| | - Mohthash Musambil
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (A.A.A.); (A.M.); (M.M.); (M.A.A.)
| | - Anas M. Abdel Rahman
- Metabolomics Section, Department of Clinical Genomics, Center for Genome Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh 11211, Saudi Arabia;
| | - Moudi A. Alwehaibi
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (A.A.A.); (A.M.); (M.M.); (M.A.A.)
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11461, Saudi Arabia
| | - Maria Arafah
- Department of Pathology, College of Medicine, King Saud University, King Saud University Medical City, Riyadh 11461, Saudi Arabia;
| | - Ali Bassi
- Obstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (K.A.); (H.A.); (A.B.)
| | - Hicham Benabdelkamel
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (A.A.A.); (A.M.); (M.M.); (M.A.A.)
- Correspondence:
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Mahmood T, Ved A, Siddiqui MH, Ahsan F, Shamim A, Ansari VA, Ahmad A, Kashyap MK. An in-Depth Analysis of Ovarian Cancer: Pathogenesis and Clinical Manifestation. Drug Res (Stuttg) 2022; 72:424-434. [PMID: 35760337 DOI: 10.1055/a-1867-4654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Ovarian cancer is characterized by the establishment of tolerance, the recurrence of disease, as well as a poor prognosis. Gene signatures in ovarian cancer cells enable cancer medicine research, therapy, prevention, & management problematic. Notwithstanding advances in tumor puncture surgery, novel combinations regimens, and abdominal radiation, which can provide outstanding reaction times, the bulk of gynecological tumor patients suffer from side effects & relapse. As a consequence, more therapy alternatives for individuals with ovarian cancer must always be studied to minimize side effects and improve progression-free and total response rates. The development of cancer medications is presently undergoing a renaissance in the quest for descriptive and prognostic ovarian cancer biomarkers. Nevertheless, abnormalities in the BRCA2 or BRCA1 genes, a variety of hereditary predispositions, unexplained onset and progression, molecular tumor diversity, and illness staging can all compromise the responsiveness and accuracy of such indicators. As a result, current ovarian cancer treatments must be supplemented with broad-spectrum & customized targeted therapeutic approaches. The objective of this review is to highlight recent contributions to the knowledge of the interrelations between selected ovarian tumor markers, various perception signs, and biochemical and molecular signaling processes, as well as one's interpretation of much more targeted and effective treatment interventions.
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Affiliation(s)
- Tarique Mahmood
- Department of Pharmacy, Integral University, Dasauli, Lucknow, India
| | - Akash Ved
- Department of Pharmacy, Goel Institute of Pharmaceutical Sciences, Lucknow, India
| | | | - Farogh Ahsan
- Department of Pharmacy, Integral University, Dasauli, Lucknow, India
| | - Arshiya Shamim
- Department of Pharmacy, Integral University, Dasauli, Lucknow, India
| | | | - Afroz Ahmad
- Department of Pharmacy, Integral University, Dasauli, Lucknow, India
| | - Monu Kumar Kashyap
- Department of Pharmacy, Goel Institute of Pharmaceutical Sciences, Lucknow, India
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Gu H, Song J, Chen Y, Wang Y, Tan X, Zhao H. Inflammation-Related LncRNAs Signature for Prognosis and Immune Response Evaluation in Uterine Corpus Endometrial Carcinoma. Front Oncol 2022; 12:923641. [PMID: 35719911 PMCID: PMC9201290 DOI: 10.3389/fonc.2022.923641] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 05/05/2022] [Indexed: 11/16/2022] Open
Abstract
Backgrounds Uterine corpus endometrial carcinoma (UCEC) is one of the greatest threats on the female reproductive system. The aim of this study is to explore the inflammation-related LncRNA (IRLs) signature predicting the clinical outcomes and response of UCEC patients to immunotherapy and chemotherapy. Methods Consensus clustering analysis was employed to determine inflammation-related subtype. Cox regression methods were used to unearth potential prognostic IRLs and set up a risk model. The prognostic value of the prognostic model was calculated by the Kaplan-Meier method, receiver operating characteristic (ROC) curves, and univariate and multivariate analyses. Differential abundance of immune cell infiltration, expression levels of immunomodulators, the status of tumor mutation burden (TMB), the response to immune checkpoint inhibitors (ICIs), drug sensitivity, and functional enrichment in different risk groups were also explored. Finally, we used quantitative real-time PCR (qRT-PCR) to confirm the expression patterns of model IRLs in clinical specimens. Results All UCEC cases were divided into two clusters (C1 = 454) and (C2 = 57) which had significant differences in prognosis and immune status. Five hub IRLs were selected to develop an IRL prognostic signature (IRLPS) which had value in forecasting the clinical outcome of UCEC patients. Biological processes related to tumor and immune response were screened. Function enrichment algorithm showed tumor signaling pathways (ERBB signaling, TGF-β signaling, and Wnt signaling) were remarkably activated in high-risk group scores. In addition, the high-risk group had a higher infiltration level of M2 macrophages and lower TMB value, suggesting patients with high risk were prone to a immunosuppressive status. Furthermore, we determined several potential molecular drugs for UCEC. Conclusion We successfully identified a novel molecular subtype and inflammation-related prognostic model for UCEC. Our constructed risk signature can be employed to assess the survival of UCEC patients and offer a valuable reference for clinical treatment regimens.
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Affiliation(s)
- Hongmei Gu
- Department of Radiotherapy Oncology, Affiliated Hospital of Nantong University, Nantong, China
| | - Jiahang Song
- Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yizhang Chen
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yichun Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaofang Tan
- Affiliated Maternity and Child Health Care Hospital of Nantong University, Nantong, China
| | - Hongyu Zhao
- Department of Radiotherapy Oncology, Affiliated Hospital of Nantong University, Nantong, China
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Dong P, Wang F, Taheri M, Xiong Y, Ihira K, Kobayashi N, Konno Y, Yue J, Watari H. Long Non-Coding RNA TMPO-AS1 Promotes GLUT1-Mediated Glycolysis and Paclitaxel Resistance in Endometrial Cancer Cells by Interacting With miR-140 and miR-143. Front Oncol 2022; 12:912935. [PMID: 35712514 PMCID: PMC9195630 DOI: 10.3389/fonc.2022.912935] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 04/29/2022] [Indexed: 01/05/2023] Open
Abstract
Increased glycolysis in tumor cells is frequently associated with drug resistance. Overexpression of glucose transporter-1 (GLUT1) promotes the Warburg effect and mediates chemoresistance in various cancers. Aberrant GLUT1 expression is considered as an essential early step in the development of endometrial cancer (EC). However, its role in EC glycolysis and chemoresistance and the upstream mechanisms underlying GLUT1 overexpression, remain undefined. Here, we demonstrated that GLUT1 was highly expressed in EC tissues and cell lines and that high GLUT1 expression was associated with poor prognosis in EC patients. Both gain-of-function and loss-of-function studies showed that GLUT1 increased EC cell proliferation, invasion, and glycolysis, while also making them resistant to paclitaxel. The long non-coding RNA TMPO-AS1 was found to be overexpressed in EC tissues and to be negatively associated with EC patient outcomes. RNA-immunoprecipitation and luciferase reporter assays confirmed that TMPO-AS1 elevated GLUT1 expression by directly binding to two critical tumor suppressor microRNAs (miR-140 and miR-143). Downregulation of TMPO-AS1 remarkably reduced EC cell proliferation, invasion, glycolysis, and paclitaxel resistance in EC cells. This study established that dysregulation of the TMPO-AS1-miR-140/miR-143 axis contributes to glycolysis and drug resistance in EC cells by up-regulating GLUT1 expression. Thus, inhibiting TMPO-AS1 and GLUT1 may prove beneficial in overcoming glycolysis-induced paclitaxel resistance in patients with EC.
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Affiliation(s)
- Peixin Dong
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, Japan
| | - Feng Wang
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Jiangsu, China
| | - Mohammad Taheri
- Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Institute of Human Genetics, Jena University Hospital, Jena, Germany
| | - Ying Xiong
- Department of Gynecology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Kei Ihira
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, Japan
| | - Noriko Kobayashi
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, Japan
| | - Yosuke Konno
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, Japan
| | - Junming Yue
- Department of Pathology and Laboratory Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.,Center for Cancer Research, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Hidemichi Watari
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, Japan
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Li Y, Yang F, Li S, Yuan R, Xiang Y. Target-triggered tertiary amplifications for sensitive and label-free protein detection based on lighting-up RNA aptamer transcriptions. Anal Chim Acta 2022; 1217:340028. [DOI: 10.1016/j.aca.2022.340028] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/29/2022] [Accepted: 05/30/2022] [Indexed: 11/30/2022]
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22
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Sanderson PA, Esnal-Zufiaurre A, Arends MJ, Herrington CS, Collins F, Williams ARW, Saunders PTK. Improving the Diagnosis of Endometrial Hyperplasia Using Computerized Analysis and Immunohistochemical Biomarkers. FRONTIERS IN REPRODUCTIVE HEALTH 2022; 4:896170. [PMID: 36303676 PMCID: PMC9580641 DOI: 10.3389/frph.2022.896170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
Endometrial hyperplasia (EH) is a precursor lesion to endometrial carcinoma (EC). Risks for EC include genetic, hormonal and metabolic factors most notably those associated with obesity: rates are rising and there is concern that cases in pre-menopausal women may remain undetected. Making an accurate distinction between benign and pre-malignant disease is both a challenge for the pathologist and important to the gynecologist who wants to deliver the most appropriate care to meet the needs of the patient. Premalignant change may be recognized by histological changes of endometrial hyperplasia (which may occur with or without atypia) and endometrial intraepithelial neoplasia (EIN). In this study we created a tissue resource of EH samples diagnosed between 2004 and 2009 (n = 125) and used this to address key questions: 1. Are the EIN/WHO2014 diagnostic criteria able to consistently identify premalignant endometrium? 2. Can computer aided image analysis inform identification of EIN? 3. Can we improve diagnosis by incorporating analysis of protein expression using immunohistochemistry. Our findings confirmed the inclusion of EIN in diagnostic criteria resulted in a better agreement between expert pathologists compared with the previous WHO94 criteria used for the original diagnosis of our sample set. A computer model based on assessment of stromal:epithelial ratio appeared most accurate in classification of areas of tissue without EIN. From an extensive panel of putative endometrial protein tissue biomarkers a score based on assessment of HAND2, PTEN, and PAX2 was able to identify four clusters one of which appeared to be more likely to be benign. In summary, our study has highlighted new opportunities to improve diagnosis of pre-malignant disease in endometrium and provide a platform for further research on this important topic.
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Affiliation(s)
- Peter A. Sanderson
- Centre for Inflammation Research, Edinburgh Bioquarter, The University of Edinburgh, Edinburgh, United Kingdom
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, Western General Hospital, The University of Edinburgh, Edinburgh, United Kingdom
| | - Arantza Esnal-Zufiaurre
- Centre for Inflammation Research, Edinburgh Bioquarter, The University of Edinburgh, Edinburgh, United Kingdom
| | - Mark J. Arends
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, Western General Hospital, The University of Edinburgh, Edinburgh, United Kingdom
| | - C. Simon Herrington
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, Western General Hospital, The University of Edinburgh, Edinburgh, United Kingdom
| | - Frances Collins
- Centre for Inflammation Research, Edinburgh Bioquarter, The University of Edinburgh, Edinburgh, United Kingdom
| | - Alistair R. W. Williams
- Department of Pathology, Edinburgh BioQuarter, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | - Philippa T. K. Saunders
- Centre for Inflammation Research, Edinburgh Bioquarter, The University of Edinburgh, Edinburgh, United Kingdom
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Shen PC, Wang YF, Chang HC, Huang WY, Lo CH, Su YF, Yang JF, Lin CS, Dai YH. Developing a novel DNA methylation risk score for survival and identification of prognostic gene mutations in endometrial cancer: a study based on TCGA data. Jpn J Clin Oncol 2022; 52:992-1000. [DOI: 10.1093/jjco/hyac077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Few studies have focused on DNA methylation in endometrial cancer. The aim of our study is identify its role in endometrial cancer prognosis.
Methods
A publicly available dataset was retrieved from The Cancer Genome Atlas. For validation of expression alteration due to methylation, RNA sequencing data were obtained from other independent cohorts. MethSurv was used to search for candidate CpG probes, which were then filtered by least absolute shrinkage and selection operator Cox regression and multivariate Cox regression analyses to identify final set of CpG probes for overall survival. A methylation-based risk model was developed and receiver operating characteristic analysis with area under curve was used for evaluation. Patients were divided into high- and low-risk groups using an optimal cut-off point. Comprehensive bioinformatic analyses were conducted to identify hub genes, key transcription factors, and enriched cancer-related pathways. Kaplan–Meier curve was used for survival analysis.
Results
A 5-CpG signature score was established. Its predictive value for 5-year overall survival was high, with area under curve of 0.828, 0.835 and 0.816 for the training, testing and entire cohorts. cg27487839 and cg12885678 had strong correlation with their gene expression, XKR6 and PTPRN2, and lower PTPRN2 expression was associated with poorer survival in both The Cancer Genome Atlas and the validation datasets. Low-risk group was associated with significantly better survival. Low-risk group harboured more mutations in hub genes and key transcription factors, and mutations in SP1 and MECP2 represented favourable outcome.
Conclusion
We developed a methylation-based prognostic stratification system for endometrial cancer. Low-risk group was associated with better survival and harboured more mutations in the key regulatory genes.
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Affiliation(s)
- Po-Chien Shen
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Ying-Fu Wang
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei
| | - Hao-Chih Chang
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei
| | - Wen-Yen Huang
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei
| | - Cheng-Hsiang Lo
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei
| | - Yu-Fu Su
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei
| | - Jen-Fu Yang
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei
| | - Chun-Shu Lin
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei
| | - Yang-Hong Dai
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei
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Njoku K, Barr CE, Crosbie EJ. Current and Emerging Prognostic Biomarkers in Endometrial Cancer. Front Oncol 2022; 12:890908. [PMID: 35530346 PMCID: PMC9072738 DOI: 10.3389/fonc.2022.890908] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 03/28/2022] [Indexed: 12/19/2022] Open
Abstract
Endometrial cancer is the most common gynaecological malignancy in high income countries and its incidence is rising. Whilst most women with endometrial cancer are diagnosed with highly curable disease and have good outcomes, a significant minority present with adverse clinico-pathological characteristics that herald a poor prognosis. Prognostic biomarkers that reliably select those at greatest risk of disease recurrence and death can guide management strategies to ensure that patients receive appropriate evidence-based and personalised care. The Cancer Genome Atlas substantially advanced our understanding of the molecular diversity of endometrial cancer and informed the development of simplified, pragmatic and cost-effective classifiers with prognostic implications and potential for clinical translation. Several blood-based biomarkers including proteins, metabolites, circulating tumour cells, circulating tumour DNA and inflammatory parameters have also shown promise for endometrial cancer risk assessment. This review provides an update on the established and emerging prognostic biomarkers in endometrial cancer.
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Affiliation(s)
- Kelechi Njoku
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
- Stoller Biomarker Discovery Centre, University of Manchester, Manchester, United Kingdom
- Department of Obstetrics and Gynaecology, St Mary’s Hospital, Manchester, University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Chloe E. Barr
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
- Department of Obstetrics and Gynaecology, St Mary’s Hospital, Manchester, University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Emma J. Crosbie
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
- Department of Obstetrics and Gynaecology, St Mary’s Hospital, Manchester, University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- *Correspondence: Emma J. Crosbie,
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Sanderson PA, Esnal-zufiaurre A, Arends MJ, Herrington CS, Collins F, Williams AR, Saunders PT. Improving the diagnosis of endometrial hyperplasia using computerized analysis and immunohistochemical biomarkers.. [DOI: 10.1101/2022.02.27.22271450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2024]
Abstract
AbstractEndometrial hyperplasia (EH) is a precursor lesion to endometrial carcinoma (EC). Risks for EC include genetic, hormonal and metabolic factors most notably those associated with obesity: rates are rising and there is concern that cases in pre-menopausal women may remain undetected. Making an accurate distinction between benign and pre-malignant disease is both a challenge for the pathologist and important to the gynaecologist who wants to deliver the most appropriate care to meet the needs of the patient. Premalignant change may be recognised by histological changes of endometrial hyperplasia (which may occur with or without atypia) and endometrial intraepithelial neoplasia (EIN).In this study we created a tissue resource of EH samples diagnosed between 2004 and 2009 (n=125) and used this to address key questions: 1. Are the EIN/WHO2014 diagnostic criteria able to consistently identify premalignant endometrium? 2. Can computer aided image analysis inform identification of EIN? 3. Can we improve diagnosis by incorporating analysis of protein expression using immunohistochemistry.Our findings confirmed the inclusion of EIN in diagnostic criteria resulted in a better agreement between expert pathologists compared with the previous WHO94 criteria used for the original diagnosis of our sample set. A computer model based on assessment of stromal:epithelial ratio appeared most accurate in classification of areas of tissue without EIN. From an extensive panel of putative endometrial protein tissue biomarkers a score based on assessment of HAND2, PTEN and PAX2 was able to identify four clusters one of which appeared to be more likely to be benign.In summary, our study has highlighted new opportunities to improve diagnosis of pre-malignant disease in endometrium and provide a platform for further research on this important topic.HighlightsBlinded re-analysis of n=125 samples previously classified as endometrial hyperplasia found improved intra-observer agreement (67%) using EIN/WHO2014 compared with standard WHO1994 criteria (52%)Computerised analysis of endometrial hyperplasia tissue architecture showed promise as a tool to assist pathologists in diagnosis of difficult to classify casesA diagnosis of endometrial intraepithelial neoplasia (EIN) using the WHO2014 criteria more accurately predicted risk of endometrial cancer than WHO1994 system.EIN samples exhibited altered expression of ARID1A (negative glands) and HAND2 (reduced or absent from stroma)Unsupervised hierarchical cluster analysis based on immunostaining for PTEN, PAX2 and HAND2 identified 4 subtypes one of which segregated with benign disease.These results provide a framework for improved classification of pre-malignant lesions in endometrium that may inform personalized care pathways
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Zhang Q, Xia T, Qi C, Du J, Ye C. High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma. BMC Cancer 2022; 22:77. [PMID: 35042454 PMCID: PMC8764844 DOI: 10.1186/s12885-022-09180-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 01/04/2022] [Indexed: 11/13/2022] Open
Abstract
Background S100A2, a member of the S100 protein family, is abnormally expressed and plays a vital role in multiple cancers. However, little is known about the clinical significance of S100A2 in endometrial carcinoma. Methods Clinicopathological data were obtained from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), Gene Expression Omnibus (GEO), and Clinical Proteomic Tumor Analysis Consortium (CPTAC). First, the expression and prognostic value of different S100 family members in endometrial carcinoma were evaluated. Subsequently, the Kaplan–Meier plotter and Cox regression analysis were used to assess the prognostic significance of S100A2, while the association between S100A2 expression and clinical characteristics in endometrial carcinoma was also analyzed using logistic regression. A receiver operating characteristic (ROC) curve and a nomogram were constructed. The putative underlying cellular mechanisms were explored using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and gene set enrichment analysis (GSEA). Results Our results revealed that S100A2 expression was significantly higher in endometrial carcinoma tissue than in non-cancerous tissue at both the mRNA and protein levels. Analysis of Kaplan–Meier plotter data revealed that patients with high S100A2 expression had shorter overall survival (OS) and disease specific survival (DSS) compared with those of patients with low S100A2 expression. Multivariate Cox analysis further confirmed that high S100A2 expression was an independent risk factor for OS in patients with endometrial carcinoma. Other clinicopathologic features found to be related to worse prognosis in endometrial carcinoma included age, clinical stage, histologic grade, and tumor invasion. Importantly, ROC analysis also confirmed that S100A2 has a high diagnostic value in endometrial carcinoma. KEGG enrichment analysis and GSEA revealed that the estrogen and IL-17 signaling pathways were significantly upregulated in the high S100A2 expression group, in which estrogen response, JAK-STAT3, K-Ras, and TNFα/NF-κB were differentially enriched. Conclusions S100A2 plays an important role in endometrial carcinoma progression and may represent an independent diagnostic and prognostic biomarker for endometrial carcinoma. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09180-5.
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Role of miR-15b/16–2 cluster network in endometrial cancer: An in silico pathway and prognostic analysis. Meta Gene 2022. [DOI: 10.1016/j.mgene.2022.101018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Holcakova J, Bartosik M, Anton M, Minar L, Hausnerova J, Bednarikova M, Weinberger V, Hrstka R. New Trends in the Detection of Gynecological Precancerous Lesions and Early-Stage Cancers. Cancers (Basel) 2021; 13:6339. [PMID: 34944963 PMCID: PMC8699592 DOI: 10.3390/cancers13246339] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 12/07/2021] [Accepted: 12/14/2021] [Indexed: 12/24/2022] Open
Abstract
The prevention and early diagnostics of precancerous stages are key aspects of contemporary oncology. In cervical cancer, well-organized screening and vaccination programs, especially in developed countries, are responsible for the dramatic decline of invasive cancer incidence and mortality. Cytological screening has a long and successful history, and the ongoing implementation of HPV triage with increased sensitivity can further decrease mortality. On the other hand, endometrial and ovarian cancers are characterized by a poor accessibility to specimen collection, which represents a major complication for early diagnostics. Therefore, despite relatively promising data from evaluating the combined effects of genetic variants, population screening does not exist, and the implementation of new biomarkers is, thus, necessary. The introduction of various circulating biomarkers is of potential interest due to the considerable heterogeneity of cancer, as highlighted in this review, which focuses exclusively on the most common tumors of the genital tract, namely, cervical, endometrial, and ovarian cancers. However, it is clearly shown that these malignancies represent different entities that evolve in different ways, and it is therefore necessary to use different methods for their diagnosis and treatment.
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Affiliation(s)
- Jitka Holcakova
- Research Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic; (J.H.); (M.B.)
| | - Martin Bartosik
- Research Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic; (J.H.); (M.B.)
| | - Milan Anton
- Department of Obstetrics and Gynecology, Masaryk University and University Hospital, 625 00 Brno, Czech Republic; (M.A.); (L.M.)
| | - Lubos Minar
- Department of Obstetrics and Gynecology, Masaryk University and University Hospital, 625 00 Brno, Czech Republic; (M.A.); (L.M.)
| | - Jitka Hausnerova
- Department of Pathology, Masaryk University and University Hospital, 625 00 Brno, Czech Republic;
| | - Marketa Bednarikova
- Department of Internal Medicine, Hematology and Oncology, Masaryk University and University Hospital, 625 00 Brno, Czech Republic;
| | - Vit Weinberger
- Department of Obstetrics and Gynecology, Masaryk University and University Hospital, 625 00 Brno, Czech Republic; (M.A.); (L.M.)
| | - Roman Hrstka
- Research Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic; (J.H.); (M.B.)
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Wang J, Wang S, Sun J, Qiu L. Expression of c-MET, EGFR and HER-2 in gastric adenocarcinoma tissue and its relationship with clinicopathological characteristics. Am J Transl Res 2021; 13:10856-10862. [PMID: 34650766 PMCID: PMC8507018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 08/10/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE To determine the expression of tyrosine protein kinase Met (c-MET), epidermal growth factor receptor (EGFR), and human epidermal growth factor receptor 2 (HER-2) in cases with gastric adenocarcinoma (GA). METHODS The positive rates of the c-MET, EGFR, and HER-2 proteins between cancerous tissues and normal tissues sampled from 87 patients with GA were compared. The patients were assigned to different subgroups according to their clinicopathological characteristics and analyzed. Then the relationship between the above three indexes and the positive expression of Ki-67 were analyzed. In addition, the patients were assigned to positive and negative groups based on the situation of c-MET, EGFR and HER-2 proteins, and followed up for three years. These groups were compared in terms of recurrence-free survival, overall survival, and risks factors of prognosis. RESULTS The positive rates of c-MET, EGFR and HER-2 proteins in GA tissues were all higher than those in corresponding non-tumor tissues (all P<0.001), and the positive rates of them were greatly different in subgroups with different differentiation, invasion depth, TNM stage, lymph node metastasis (LNM), distant metastasis and presence of tumor thrombus (all P<0.05) and were positively correlated with the expression of Ki-67 protein (P<0.05). Moreover, the survival analysis results revealed lower recurrence-free survival and overall survival rates in groups with negative expression of c-MET, EGFR, and HER-2 than those in groups with positive expression of them (both P<0.001). Furthermore, the positive EGFR was an independent prognostic factor affecting the survival of patients with GA. CONCLUSION The expression of c-MET, EGFR and HER-2 proteins is correlated with clinical characteristics of patients with GA, and patients with positive expression of them face a higher recurrence rate. Additionally, EGFR protein may affect patients' survival.
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Affiliation(s)
- Jing Wang
- Department of Oncology, Anyang Tumor HospitalAnyang 455001, He’nan Province, China
| | - Shoufeng Wang
- Department of Pathology, Tianjin Fifth Central HospitalTianjin 300450, China
| | - Jilei Sun
- Department of Oncology, Dongying Second People’s HospitalDongying 257335, Shandong Province, China
| | - Lanlan Qiu
- Department of Pathology, Sanmen People’s HospitalTaizhou 317100, Zhejiang Province, China
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Karimi MR, Karimi AH, Abolmaali S, Sadeghi M, Schmitz U. Prospects and challenges of cancer systems medicine: from genes to disease networks. Brief Bioinform 2021; 23:6361045. [PMID: 34471925 PMCID: PMC8769701 DOI: 10.1093/bib/bbab343] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 08/02/2021] [Accepted: 08/03/2021] [Indexed: 12/20/2022] Open
Abstract
It is becoming evident that holistic perspectives toward cancer are crucial in deciphering the overwhelming complexity of tumors. Single-layer analysis of genome-wide data has greatly contributed to our understanding of cellular systems and their perturbations. However, fundamental gaps in our knowledge persist and hamper the design of effective interventions. It is becoming more apparent than ever, that cancer should not only be viewed as a disease of the genome but as a disease of the cellular system. Integrative multilayer approaches are emerging as vigorous assets in our endeavors to achieve systemic views on cancer biology. Herein, we provide a comprehensive review of the approaches, methods and technologies that can serve to achieve systemic perspectives of cancer. We start with genome-wide single-layer approaches of omics analyses of cellular systems and move on to multilayer integrative approaches in which in-depth descriptions of proteogenomics and network-based data analysis are provided. Proteogenomics is a remarkable example of how the integration of multiple levels of information can reduce our blind spots and increase the accuracy and reliability of our interpretations and network-based data analysis is a major approach for data interpretation and a robust scaffold for data integration and modeling. Overall, this review aims to increase cross-field awareness of the approaches and challenges regarding the omics-based study of cancer and to facilitate the necessary shift toward holistic approaches.
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Affiliation(s)
| | | | | | - Mehdi Sadeghi
- Department of Cell & Molecular Biology, Semnan University, Semnan, Iran
| | - Ulf Schmitz
- Department of Molecular & Cell Biology, James Cook University, Townsville, QLD 4811, Australia
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Kolanska K, Bendifallah S, Canlorbe G, Mekinian A, Touboul C, Aractingi S, Chabbert-Buffet N, Daraï E. Role of miRNAs in Normal Endometrium and in Endometrial Disorders: Comprehensive Review. J Clin Med 2021; 10:jcm10163457. [PMID: 34441754 PMCID: PMC8396961 DOI: 10.3390/jcm10163457] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/15/2021] [Accepted: 07/29/2021] [Indexed: 12/12/2022] Open
Abstract
The molecular responses to hormonal stimuli in the endometrium are modulated at the transcriptional and post-transcriptional stages. Any imbalance in cellular and molecular endometrial homeostasis may lead to gynecological disorders. MicroRNAs (miRNAs) are involved in a wide variety of physiological mechanisms and their expression patterns in the endometrium are currently attracting a lot of interest. miRNA regulation could be hormone dependent. Conversely, miRNAs could regulate the action of sexual hormones. Modifications to miRNA expression in pathological situations could either be a cause or a result of the existing pathology. The complexity of miRNA actions and the diversity of signaling pathways controlled by numerous miRNAs require rigorous analysis and findings need to be interpreted with caution. Alteration of miRNA expression in women with endometriosis has been reported. Thus, a potential diagnostic test supported by a specific miRNA signature could contribute to early diagnosis and a change in the therapeutic paradigm. Similarly, specific miRNA profile signatures are expected for RIF and endometrial cancer, with direct implications for associated therapies for RIF and adjuvant therapies for endometrial cancer. Advances in targeted therapies based on the regulation of miRNA expression are under evaluation.
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Affiliation(s)
- Kamila Kolanska
- Service de Gynécologie Obstétrique et Médecine de la Reproduction, Hôpital Tenon, AP-HP, Sorbonne Université, 4 Rue de la Chine, 75020 Paris, France; (S.B.); (C.T.); (N.C.-B.); (E.D.)
- INSERM UMRS 938, Sorbonne Université, Site Saint-Antoine, 27 Rue Chaligny, CEDEX 12, 75571 Paris, France; (G.C.); (S.A.)
- Centre Expert En Endométriose (C3E), Groupe de Recherche Clinique en Endométriose (GRC6), Sorbonne Université, 4 Rue de la Chine, 75020 Paris, France
- Correspondence:
| | - Sofiane Bendifallah
- Service de Gynécologie Obstétrique et Médecine de la Reproduction, Hôpital Tenon, AP-HP, Sorbonne Université, 4 Rue de la Chine, 75020 Paris, France; (S.B.); (C.T.); (N.C.-B.); (E.D.)
- INSERM UMRS 938, Sorbonne Université, Site Saint-Antoine, 27 Rue Chaligny, CEDEX 12, 75571 Paris, France; (G.C.); (S.A.)
- Centre Expert En Endométriose (C3E), Groupe de Recherche Clinique en Endométriose (GRC6), Sorbonne Université, 4 Rue de la Chine, 75020 Paris, France
| | - Geoffroy Canlorbe
- INSERM UMRS 938, Sorbonne Université, Site Saint-Antoine, 27 Rue Chaligny, CEDEX 12, 75571 Paris, France; (G.C.); (S.A.)
- Service de Chirurgie et Cancérologie Gynécologique et Mammaire, Hôpitaux Universitaires Pitié-Salpêtrière, Charles-Foix, Sorbonne Université, 47/83, Boulevard de l’Hôpital, 75013 Paris, France
| | - Arsène Mekinian
- Service de Médecine Interne, Hôpital Saint Antoine, AP-HP, 184 Rue du Faubourg Saint Antoine, Sorbonne Université, 75012 Paris, France;
| | - Cyril Touboul
- Service de Gynécologie Obstétrique et Médecine de la Reproduction, Hôpital Tenon, AP-HP, Sorbonne Université, 4 Rue de la Chine, 75020 Paris, France; (S.B.); (C.T.); (N.C.-B.); (E.D.)
- INSERM UMRS 938, Sorbonne Université, Site Saint-Antoine, 27 Rue Chaligny, CEDEX 12, 75571 Paris, France; (G.C.); (S.A.)
- Centre Expert En Endométriose (C3E), Groupe de Recherche Clinique en Endométriose (GRC6), Sorbonne Université, 4 Rue de la Chine, 75020 Paris, France
| | - Selim Aractingi
- INSERM UMRS 938, Sorbonne Université, Site Saint-Antoine, 27 Rue Chaligny, CEDEX 12, 75571 Paris, France; (G.C.); (S.A.)
- Faculté de Médecine Paris 5 Descartes, 12 Rue de l’Ecole de Médecine, 75006 Paris, France
| | - Nathalie Chabbert-Buffet
- Service de Gynécologie Obstétrique et Médecine de la Reproduction, Hôpital Tenon, AP-HP, Sorbonne Université, 4 Rue de la Chine, 75020 Paris, France; (S.B.); (C.T.); (N.C.-B.); (E.D.)
- INSERM UMRS 938, Sorbonne Université, Site Saint-Antoine, 27 Rue Chaligny, CEDEX 12, 75571 Paris, France; (G.C.); (S.A.)
- Centre Expert En Endométriose (C3E), Groupe de Recherche Clinique en Endométriose (GRC6), Sorbonne Université, 4 Rue de la Chine, 75020 Paris, France
| | - Emile Daraï
- Service de Gynécologie Obstétrique et Médecine de la Reproduction, Hôpital Tenon, AP-HP, Sorbonne Université, 4 Rue de la Chine, 75020 Paris, France; (S.B.); (C.T.); (N.C.-B.); (E.D.)
- INSERM UMRS 938, Sorbonne Université, Site Saint-Antoine, 27 Rue Chaligny, CEDEX 12, 75571 Paris, France; (G.C.); (S.A.)
- Centre Expert En Endométriose (C3E), Groupe de Recherche Clinique en Endométriose (GRC6), Sorbonne Université, 4 Rue de la Chine, 75020 Paris, France
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Comprehensive Library Generation for Identification and Quantification of Endometrial Cancer Protein Biomarkers in Cervico-Vaginal Fluid. Cancers (Basel) 2021; 13:cancers13153804. [PMID: 34359700 PMCID: PMC8345211 DOI: 10.3390/cancers13153804] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 07/21/2021] [Accepted: 07/23/2021] [Indexed: 01/08/2023] Open
Abstract
Simple Summary Endometrial cancer is the most common cancer of the female reproductive tract, and its incidence is rising. Early diagnosis has the potential to improve survival as women can receive care at the earliest possible stage when curative treatment is likely. Current tests for endometrial cancer diagnosis are sequentially invasive with low patient acceptability. A detection tool based on minimally invasive samples such as cervico-vaginal fluid would be a major advance in the field. This study focuses on the potential of detecting endometrial cancer based on the proteins and peptides expressed in cervico-vaginal fluid. Using Sequential window acquisition of all theoretical mass spectra (SWATH-MS), we present a spectral library of thousands of proteins in the cervico-vaginal fluid of women with or at risk of endometrial cancer. This important resource will enable the identification of endometrial cancer biomarkers in cervico-vaginal fluid and advances our knowledge of the role of proteomics in endometrial cancer detection. Abstract Endometrial cancer is the most common gynaecological malignancy in high-income countries and its incidence is rising. Early detection, aided by highly sensitive and specific biomarkers, has the potential to improve outcomes as treatment can be provided when it is most likely to effect a cure. Sequential window acquisition of all theoretical mass spectra (SWATH-MS), an accurate and reproducible platform for analysing biological samples, offers a technological advance for biomarker discovery due to its reproducibility, sensitivity and potential for data re-interrogation. SWATH-MS requires a spectral library in order to identify and quantify peptides from multiplexed mass spectrometry data. Here we present a bespoke spectral library of 154,206 transitions identifying 19,394 peptides and 2425 proteins in the cervico-vaginal fluid of postmenopausal women with, or at risk of, endometrial cancer. We have combined these data with a library of over 6000 proteins generated based on mass spectrometric analysis of two endometrial cancer cell lines. This unique resource enables the study of protein biomarkers for endometrial cancer detection in cervico-vaginal fluid. Data are available via ProteomeXchange with unique identifier PXD025925.
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Ura B, Biffi S, Monasta L, Arrigoni G, Battisti I, Di Lorenzo G, Romano F, Aloisio M, Celsi F, Addobbati R, Valle F, Rampazzo E, Brucale M, Ridolfi A, Licastro D, Ricci G. Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum. Cancers (Basel) 2021; 13:cancers13143639. [PMID: 34298850 PMCID: PMC8305989 DOI: 10.3390/cancers13143639] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 06/29/2021] [Accepted: 07/16/2021] [Indexed: 12/14/2022] Open
Abstract
Endometrial cancer is the most common gynecologic malignancy arising from the endometrium. Identification of serum biomarkers could be beneficial for its early diagnosis. We have used 2D-Difference In Gel Electrophoresis (2D-DIGE) coupled with Mass Spectrometry (MS) procedures to investigate the serum proteome of 15 patients with endometrial cancer and 15 non-cancer subjects. We have identified 16 proteins with diagnostic potential, considering only spots with a fold change in %V ≥ 1.5 or ≤0.6 in intensity, which were statistically significant (p < 0.05). Western blotting data analysis confirmed the upregulation of CLU, ITIH4, SERPINC1, and C1RL in endometrial and exosome cancer sera compared to those of control subjects. The application of the logistic regression constructed based on the abundance of these four proteins separated the controls from the cancers with excellent levels of sensitivity and specificity. After a validation phase, our findings support the potential of using the proposed algorithm as a diagnostic tool in the clinical stage.
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Affiliation(s)
- Blendi Ura
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (S.B.); (L.M.); (G.D.L.); (F.R.); (M.A.); (F.C.); (R.A.); (G.R.)
- Correspondence:
| | - Stefania Biffi
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (S.B.); (L.M.); (G.D.L.); (F.R.); (M.A.); (F.C.); (R.A.); (G.R.)
| | - Lorenzo Monasta
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (S.B.); (L.M.); (G.D.L.); (F.R.); (M.A.); (F.C.); (R.A.); (G.R.)
| | - Giorgio Arrigoni
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy; (G.A.); (I.B.)
- Proteomics Center, University of Padova and Azienda Ospedaliera di Padova, 35131 Padova, Italy
- CRIBI Biotechnology Center, University of Padova, 35131 Padova, Italy
| | - Ilaria Battisti
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy; (G.A.); (I.B.)
- Proteomics Center, University of Padova and Azienda Ospedaliera di Padova, 35131 Padova, Italy
| | - Giovanni Di Lorenzo
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (S.B.); (L.M.); (G.D.L.); (F.R.); (M.A.); (F.C.); (R.A.); (G.R.)
| | - Federico Romano
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (S.B.); (L.M.); (G.D.L.); (F.R.); (M.A.); (F.C.); (R.A.); (G.R.)
| | - Michelangelo Aloisio
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (S.B.); (L.M.); (G.D.L.); (F.R.); (M.A.); (F.C.); (R.A.); (G.R.)
| | - Fulvio Celsi
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (S.B.); (L.M.); (G.D.L.); (F.R.); (M.A.); (F.C.); (R.A.); (G.R.)
| | - Riccardo Addobbati
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (S.B.); (L.M.); (G.D.L.); (F.R.); (M.A.); (F.C.); (R.A.); (G.R.)
| | - Francesco Valle
- Consorzio Sistemi a Grande Interfase, Department of Chemistry, University of Firenze, 50019 Firenze, Italy; (F.V.); (M.B.); (A.R.)
- Consiglio Nazionale delle Ricerche, Istituto per lo Studio dei Materiali Nanostrutturati (CNRISMN), 40129 Bologna, Italy
| | - Enrico Rampazzo
- Department of Chemistry “Giacomo Ciamician”, University of Bologna, 40126 Bologna, Italy;
| | - Marco Brucale
- Consorzio Sistemi a Grande Interfase, Department of Chemistry, University of Firenze, 50019 Firenze, Italy; (F.V.); (M.B.); (A.R.)
- Consiglio Nazionale delle Ricerche, Istituto per lo Studio dei Materiali Nanostrutturati (CNRISMN), 40129 Bologna, Italy
| | - Andrea Ridolfi
- Consorzio Sistemi a Grande Interfase, Department of Chemistry, University of Firenze, 50019 Firenze, Italy; (F.V.); (M.B.); (A.R.)
- Consiglio Nazionale delle Ricerche, Istituto per lo Studio dei Materiali Nanostrutturati (CNRISMN), 40129 Bologna, Italy
- Department of Chemistry, University of Firenze, 50019 Firenze, Italy
| | - Danilo Licastro
- ARGO Laboratorio Genomica ed Epigenomica, AREA Science Park, Basovizza, 34149 Trieste, Italy;
| | - Giuseppe Ricci
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy; (S.B.); (L.M.); (G.D.L.); (F.R.); (M.A.); (F.C.); (R.A.); (G.R.)
- Department of Medical, Surgical and Health Sciences, University of Trieste, 34149 Trieste, Italy
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Xu L, Fang Q, Miao Y, Xu M, Wang Y, Sun L, Jia X. The role of CCR2 in prognosis of patients with endometrial cancer and tumor microenvironment remodeling. Bioengineered 2021; 12:3467-3484. [PMID: 34251980 PMCID: PMC8806692 DOI: 10.1080/21655979.2021.1947631] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Tumor microenvironment (TME) plays a core role in the genesis and progress of endometrial carcinoma (EC). The immune system, a crucial element of TME, functions in various immune cells. In this paper, we have tried to evaluate the prognosis in EC patients by the status of TME. The ESTIMATE algorithm was implemented to computer the number of immune and stromal components in EC tissues from the Cancer Genome Atlas dataset. The CIBERSORT algorithm was employed to assess the proportion of tumor-infiltrating immune cells in EC tissues, which were quantified as Stromal score and Immune score. After the construction of protein–protein interaction network, cell–cell chemokine receptor 2 (CCR2) was identified as a potential predictive element for EC. Further analysis indicated that a higher expression of CCR2 in EC patients was correlated with a better prognosis and a prolonged disease-free survival. According to the transcript level of CCR2, samples were separated into low- and high-expression groups. Gene Set Enrichment Analysis unveiled that metabolism-related pathways were mostly abundant in groups with high-expression, the other one was primarily correlated to immune-related activities. We figured out that some immune cells were positively related to CCR2, suggesting that CCR2 might serve as the immune-dominant status of TME, which was verified by qRT-PCR and HPA analysis in transcriptome and protein level, respectively. Also, CCR2 showed high correlation with immune modulators and chemokine signaling pathway. Thus, the level of CCR2 might have a prognostic value for EC patients, which provides a novel insight for therapeutic strategies of EC.
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Affiliation(s)
- Lin Xu
- Department of Obstetrics and Gynecology, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu, China
| | - Qin Fang
- Department of Obstetrics and Gynecology, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu, China
| | - Youqing Miao
- Department of Neurosurgery, Nanjing Drum Tower Hospital, Nanjing, Jiangsu Province, China
| | - Mengting Xu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Nanjing Medical University
| | - Yichun Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Lizhou Sun
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Nanjing Medical University
| | - Xuemei Jia
- Department of Obstetrics and Gynecology, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu, China
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Pang X, Zhang X, Huang Y, Qian S. Development and validation of m6A regulators' prognostic significance for endometrial cancer. Medicine (Baltimore) 2021; 100:e26551. [PMID: 34190193 PMCID: PMC8257909 DOI: 10.1097/md.0000000000026551] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 05/26/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Endometrial cancer (EC) is the sixth most common cancer in women globally. It has been found that the expression levels of m6A regulators can be potentially used for prognostic stratification in some cancers, but the role of m6A regulators in EC prognosis remains unclear. METHODS The data of 584 EC samples were downloaded from The Cancer Genome Atlas and the mRNA expression profiles of 20 m6A regulators were analyzed, followed by functional enrichment analysis, immune infiltration analysis, and least absolute shrinkage and selection operator method-COX regression analysis. RESULTS The mRNA expression levels of 20 m6A regulators were significantly different between cancer samples across different grades. The 548 EC samples could be clearly divided into 2 clusters. Kaplan-Meier survival analysis proved that these two groups had highly different overall survival probabilities. Besides, the univariate regression analysis further reserved eight genes related to overall survival from the 20 m6A regulators. We established a prognostic signature including two genes, that is, IGF2BP1 and YTHDF3, that showed a strong ability for stratifying prognostically different EC patients. We identified 3239 differentially expressed genes between the high- and low-risk groups, involving in multiple biological processes and signaling pathways. Meanwhile, 6 differentially infiltrated immune cell types between the high- and low-risk groups could effectively distinguish the high- and low-risk EC groups. The expressions of immune checkpoints were different between high- and low-risk EC patients. CONCLUSION We first report the prognostic role of m6A regulators in EC, which should contribute to a better understanding of the underlying mechanisms of EC pathogenesis and progression.
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Dong P, Xiong Y, Konno Y, Ihira K, Kobayashi N, Yue J, Watari H. Long non-coding RNA DLEU2 drives EMT and glycolysis in endometrial cancer through HK2 by competitively binding with miR-455 and by modulating the EZH2/miR-181a pathway. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2021; 40:216. [PMID: 34174908 PMCID: PMC8235565 DOI: 10.1186/s13046-021-02018-1] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 06/14/2021] [Indexed: 01/27/2023]
Abstract
Background Epithelial-to-mesenchymal transition (EMT) and aerobic glycolysis are fundamental processes implicated in cancer metastasis. Although increasing evidence demonstrates an association between EMT induction and enhanced aerobic glycolysis in human cancer, the mechanisms linking these two conditions in endometrial cancer (EC) cells remain poorly defined. Methods We characterized the role and molecular mechanism of the glycolytic enzyme hexokinase 2 (HK2) in mediating EMT and glycolysis and investigated how long noncoding RNA DLEU2 contributes to the stimulation of EMT and glycolysis via upregulation of HK2 expression. Results HK2 was highly expressed in EC tissues, and its expression was associated with poor overall survival. Overexpression of HK2 effectively promoted EMT phenotypes and enhanced aerobic glycolysis in EC cells via activating FAK and its downstream ERK1/2 signaling. Moreover, microRNA-455 (miR-455) served as a tumor suppressor by directly interacting with HK2 mRNA and inhibiting its expression. Furthermore, DLEU2 displayed a significantly higher expression in EC tissues, and increased DLEU2 expression was correlated with worse overall survival. DLEU2 acted as an upstream activator for HK2-induced EMT and glycolysis in EC cells through two distinct mechanisms: (i) DLEU2 induced HK2 expression by competitively binding with miR-455, and (ii) DLEU2 also interacted with EZH2 to silence a direct inhibitor of HK2, miR-181a. Conclusions This study identified DLEU2 as an upstream activator of HK2-driven EMT and glycolysis in EC cells and provided significant mechanistic insights for the potential treatment of EC. Supplementary Information The online version contains supplementary material available at 10.1186/s13046-021-02018-1.
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Affiliation(s)
- Peixin Dong
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, 0608638, Japan.
| | - Ying Xiong
- Department of Gynecology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yosuke Konno
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, 0608638, Japan.
| | - Kei Ihira
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, 0608638, Japan
| | - Noriko Kobayashi
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, 0608638, Japan
| | - Junming Yue
- Department of Pathology and Laboratory Medicine, University of Tennessee Health Science Center, Memphis, TN, 38163, USA.,Center for Cancer Research, University of Tennessee Health Science Center, Memphis, TN, 38163, USA
| | - Hidemichi Watari
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, 0608638, Japan
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Geary B, Peat E, Dransfield S, Cook N, Thistlethwaite F, Graham D, Carter L, Hughes A, Krebs MG, Whetton AD. Discovery and Evaluation of Protein Biomarkers as a Signature of Wellness in Late-Stage Cancer Patients in Early Phase Clinical Trials. Cancers (Basel) 2021; 13:cancers13102443. [PMID: 34069985 PMCID: PMC8157875 DOI: 10.3390/cancers13102443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 05/07/2021] [Accepted: 05/12/2021] [Indexed: 12/22/2022] Open
Abstract
TARGET (tumour characterisation to guide experimental targeted therapy) is a cancer precision medicine programme focused on molecular characterisation of patients entering early phase clinical trials. Performance status (PS) measures a patient's ability to perform a variety of activities. However, the quality of present algorithms to assess PS is limited and based on qualitative clinician assessment. Plasma samples from patients enrolled into TARGET were analysed using the mass spectrometry (MS) technique: sequential window acquisition of all theoretical fragment ion spectra (SWATH)-MS. SWATH-MS was used on a discovery cohort of 55 patients to differentiate patients into either a good or poor prognosis by creation of a Wellness Score (WS) that showed stronger prediction of overall survival (p = 0.000551) compared to PS (p = 0.001). WS was then tested against a validation cohort of 77 patients showing significant (p = 0.000451) prediction of overall survival. WS in both sets had receiver operating characteristic curve area under the curve (AUC) values of 0.76 (p = 0.002) and 0.67 (p = 0.011): AUC of PS was 0.70 (p = 0.117) and 0.55 (p = 0.548). These signatures can now be evaluated further in larger patient populations to assess their utility in a clinical setting.
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Affiliation(s)
- Bethany Geary
- Stoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9NQ, UK;
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (F.T.); (L.C.); (A.H.)
| | - Erin Peat
- The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK; (E.P.); (S.D.); (N.C.); (D.G.)
| | - Sarah Dransfield
- The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK; (E.P.); (S.D.); (N.C.); (D.G.)
| | - Natalie Cook
- The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK; (E.P.); (S.D.); (N.C.); (D.G.)
| | - Fiona Thistlethwaite
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (F.T.); (L.C.); (A.H.)
- The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK; (E.P.); (S.D.); (N.C.); (D.G.)
| | - Donna Graham
- The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK; (E.P.); (S.D.); (N.C.); (D.G.)
| | - Louise Carter
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (F.T.); (L.C.); (A.H.)
- The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK; (E.P.); (S.D.); (N.C.); (D.G.)
| | - Andrew Hughes
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (F.T.); (L.C.); (A.H.)
| | - Matthew G. Krebs
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (F.T.); (L.C.); (A.H.)
- The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, UK; (E.P.); (S.D.); (N.C.); (D.G.)
- Correspondence: (M.G.K.); (A.D.W.); Tel.: +44-(0)161-275-6267 (A.D.W.)
| | - Anthony D. Whetton
- Stoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9NQ, UK;
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (F.T.); (L.C.); (A.H.)
- Manchester National Institute for Health Research Biomedical Research Centre, Manchester M13 9WL, UK
- Correspondence: (M.G.K.); (A.D.W.); Tel.: +44-(0)161-275-6267 (A.D.W.)
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Zhu J, O’Mara TA, Liu D, Setiawan VW, Glubb D, Spurdle AB, Fasching PA, Lambrechts D, Buchanan D, Kho PF, Cook LS, Friedenreich C, Lacey JV, Chen C, Wentzensen N, De Vivo I, Sun Y, Long J, Du M, Shu XO, Zheng W, Wu L, Yu H. Associations between Genetically Predicted Circulating Protein Concentrations and Endometrial Cancer Risk. Cancers (Basel) 2021; 13:cancers13092088. [PMID: 33925895 PMCID: PMC8123478 DOI: 10.3390/cancers13092088] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/11/2021] [Accepted: 04/21/2021] [Indexed: 01/31/2023] Open
Abstract
Simple Summary Endometrial cancer is the leading female reproductive tract cancer in developed countries. Discovering new biomarkers is critical for understanding the etiology this cancer and identifying women with a higher risk of this cancer from the general population. Several blood protein biomarkers have been linked to endometrial cancer in previous studies, but these studies have assessed only a limited number of biomarkers usually among a small number of participants. The current study aimed at identifying novel circulating protein biomarkers of endometrial cancer by using the largest available dataset to date. Our finding suggested nine proteins to be associated with endometrial cancer risk, and five of the identified associations showed suggestive associations with risk of non-endometrioid EC, a much more lethal subtype. If validated by additional studies, our findings may contribute to understanding the pathogenesis of endometrial tumor development and facilitating the risk assessment of endometrial cancer. Abstract Endometrial cancer (EC) is the leading female reproductive tract malignancy in developed countries. Currently, genome-wide association studies (GWAS) have identified 17 risk loci for EC. To identify novel EC-associated proteins, we used previously reported protein quantitative trait loci for 1434 plasma proteins as instruments to evaluate associations between genetically predicted circulating protein concentrations and EC risk. We studied 12,906 cases and 108,979 controls of European descent included in the Endometrial Cancer Association Consortium, the Epidemiology of Endometrial Cancer Consortium, and the UK Biobank. We observed associations between genetically predicted concentrations of nine proteins and EC risk at a false discovery rate of <0.05 (p-values range from 1.14 × 10−10 to 3.04 × 10−4). Except for vascular cell adhesion protein 1, all other identified proteins were independent from known EC risk variants identified in EC GWAS. The respective odds ratios (95% confidence intervals) per one standard deviation increase in genetically predicted circulating protein concentrations were 1.21 (1.13, 1.30) for DNA repair protein RAD51 homolog 4, 1.27 (1.14, 1.42) for desmoglein-2, 1.14 (1.07, 1.22) for MHC class I polypeptide-related sequence B, 1.05 (1.02, 1.08) for histo-blood group ABO system transferase, 0.77 (0.68, 0.89) for intestinal-type alkaline phosphatase, 0.82 (0.74, 0.91) for carbohydrate sulfotransferase 15, 1.07 (1.03, 1.11) for D-glucuronyl C5-epimerase, and 1.07 (1.03, 1.10) for CD209 antigen. In conclusion, we identified nine potential EC-associated proteins. If validated by additional studies, our findings may contribute to understanding the pathogenesis of endometrial tumor development and identifying women at high risk of EC along with other EC risk factors and biomarkers.
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Affiliation(s)
- Jingjing Zhu
- Population Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA; (D.L.); (L.W.); (H.Y.)
- Correspondence:
| | - Tracy A. O’Mara
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; (T.A.O.); (D.G.); (A.B.S.); (P.F.K.)
| | - Duo Liu
- Population Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA; (D.L.); (L.W.); (H.Y.)
- Department of Pharmacy, Harbin Medical University Cancer Hospital, Harbin 150086, China
| | - Veronica Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90089, USA;
| | - Dylan Glubb
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; (T.A.O.); (D.G.); (A.B.S.); (P.F.K.)
| | - Amanda B. Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; (T.A.O.); (D.G.); (A.B.S.); (P.F.K.)
| | - Peter A. Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, 91054 Erlangen, Germany;
- Department of Medicine Division of Hematology and Oncology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, 3000 Leuven, Belgium;
- VIB, VIB Center for Cancer Biology, 3000 Leuven, Belgium
| | - Daniel Buchanan
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC 3010, Australia;
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC 3052, Australia
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Parkville, VIC 3000, Australia
| | - Pik Fang Kho
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; (T.A.O.); (D.G.); (A.B.S.); (P.F.K.)
| | - Linda S. Cook
- Epidemiology, Biostatistics and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA;
| | - Christine Friedenreich
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB T2S 3C3, Canada;
| | - James V. Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA 91010, USA;
| | - Chu Chen
- Epidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA;
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA;
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
- Department of Medicine, Harvard Medical School, Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Yan Sun
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (Y.S.); (J.L.); (X.-O.S.); (W.Z.)
| | - Jirong Long
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (Y.S.); (J.L.); (X.-O.S.); (W.Z.)
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA;
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (Y.S.); (J.L.); (X.-O.S.); (W.Z.)
| | - Wei Zheng
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (Y.S.); (J.L.); (X.-O.S.); (W.Z.)
| | - Lang Wu
- Population Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA; (D.L.); (L.W.); (H.Y.)
| | - Herbert Yu
- Population Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA; (D.L.); (L.W.); (H.Y.)
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Huang H, Hao Z, Long L, Yin Z, Wu C, Zhou X, Zhang B. Dermatopontin as a potential pathogenic factor in endometrial cancer. Oncol Lett 2021; 21:408. [PMID: 33841569 PMCID: PMC8020378 DOI: 10.3892/ol.2021.12669] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 02/23/2021] [Indexed: 02/06/2023] Open
Abstract
The present study aimed to determine the differential expression profiles of proteins in endometrial carcinoma and to screen the proteins associated with the occurrence and development of endometrial cancer (EC). In total, 15 samples of human EC and paracancerous tissues were selected for proteomic analysis using a label-free quantification method based on liquid chromatography-tandem mass spectrometry. The differential proteins were analysed using bioinformatics and verified using reverse transcription-quantitative PCR (RT-qPCR) and western blotting. Finally, the expression of differential proteins in 75 endometrial carcinoma samples and 30 normal endometrial tissue samples were detected using immunohistochemical staining, and the associations between differential protein expression and clinicopathological features were analysed. In total, 579 up-regulated proteins and 346 down-regulated proteins were identified between the two groups and seven proteins with the most significant differences were selected; these proteins included interferon-induced protein with tetratricopeptide repeats 3, poly(ADP-ribose) polymerase family member 9, solute carrier family 34 member 2, cytochrome b5 reductase 1, protein tyrosine phosphatase non-receptor type 1, dermatopontin (DPT) and secretory leukocyte peptidase inhibitor. RT-qPCR and western blotting showed that DPT expression was down-regulated (P<0.001), which was consistent with the mass spectrometry results. The immunohistochemical staining results showed that the positive expression of DPT in EC and normal endometrial tissues was statistically significant (P<0.001). The positive expression of DPT was significantly decreased in poorly differentiated, late stage, lymph node metastasis and myometrial invasion depth ≥1/2 samples (P<0.05). DPT expression was significantly lower in EC, which might play role in the pathogenesis of EC.
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Affiliation(s)
- Haiyun Huang
- Department of Obstetrics and Gynaecology, Xuzhou Central Hospital, Affiliated Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu 221004, P.R. China
| | - Zhixiang Hao
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu 221004, P.R. China
| | - Lingyan Long
- Department of Obstetrics and Gynaecology, Xuzhou Central Hospital, Affiliated Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu 221004, P.R. China
| | - Zeyuan Yin
- Department of Obstetrics and Gynaecology, Xuzhou Central Hospital, Affiliated Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu 221004, P.R. China
| | - Chenyu Wu
- Department of Obstetrics and Gynaecology, Xuzhou Central Hospital, Affiliated Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu 221004, P.R. China
| | - Xueyan Zhou
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu 221004, P.R. China
| | - Bei Zhang
- Department of Obstetrics and Gynaecology, Xuzhou Central Hospital, Affiliated Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu 221004, P.R. China
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Proteomic Analysis of Low-Grade, Early-Stage Endometrial Carcinoma Reveals New Dysregulated Pathways Associated with Cell Death and Cell Signaling. Cancers (Basel) 2021; 13:cancers13040794. [PMID: 33672863 PMCID: PMC7917913 DOI: 10.3390/cancers13040794] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/28/2021] [Accepted: 02/09/2021] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Low-grade, early-stage endometrial cancer (EC) is the most frequent malignant tumor of the uterine corpus. Our study aimed to assess dysregulated pathways in this specific subset of EC through proteomic analysis. We describe and validate the dysregulation of the SLIT/ROBO signaling pathway, as well as cellular death processes such as necroptosis and ferroptosis. We identify several immune-related pathways, with a dominance of innate immune response associated pathways. Our findings reveal the singular biology of low-grade, early-stage ECs and could guide future research in the field. Abstract Low-grade, early-stage endometrial carcinoma (EC) is the most frequent malignant tumor of the uterine corpus. However, the molecular alterations that underlie these tumors are far from being fully understood. The purpose of this study is to describe dysregulated molecular pathways from EC patients. Sixteen samples of tumor tissue and paired healthy controls were collected and both were subjected to mass spectrometry (MS)/MS proteomic analysis. Gene ontology and pathway analysis was performed to discover dysregulated pathways and/or proteins using different databases and bioinformatic tools. Dysregulated pathways were cross-validated in an independent external cohort. Cell signaling, immune response, and cell death-associated pathways were robustly identified. The SLIT/ROBO signaling pathway demonstrated dysregulation at the proteomic and transcriptomic level. Necroptosis and ferroptosis were cell death-associated processes aberrantly regulated, in addition to apoptosis. Immune response-associated pathways showed a dominance of innate immune responses. Tumor immune infiltrates measured by immunofluorescence demonstrated diverse lymphoid and myeloid populations. Our results suggest a role of SLIT/ROBO, necroptosis, and ferroptosis, as well as a prominent role of innate immune response in low-grade, early-stage EC. These results could guide future research in this group of tumors.
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Njoku K, Campbell AE, Geary B, MacKintosh ML, Derbyshire AE, Kitson SJ, Sivalingam VN, Pierce A, Whetton AD, Crosbie EJ. Metabolomic Biomarkers for the Detection of Obesity-Driven Endometrial Cancer. Cancers (Basel) 2021; 13:cancers13040718. [PMID: 33578729 PMCID: PMC7916512 DOI: 10.3390/cancers13040718] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 01/23/2021] [Accepted: 02/06/2021] [Indexed: 12/15/2022] Open
Abstract
Simple Summary Endometrial cancer is the commonest cancer of the female genital tract and obesity is its main modifiable risk factor. Over 80% of endometrial cancers develop in the context of obesity-induced metabolic changes. This study focuses on the potential of plasma-based metabolites to enable the early detection of endometrial cancer in a cohort of women with body mass index (BMI) ≥ 30 kg/m2. Specific lipid metabolites including phospholipids and sphingolipids (sphingomyelins) demonstrated good accuracy for the detection of endometrial cancer, especially when combined in a diagnostic model. This study advances our knowledge of the role of metabolomics in endometrial cancer and provides a basis for the minimally invasive screening of women with elevated BMI. Abstract Endometrial cancer is the most common malignancy of the female genital tract and a major cause of morbidity and mortality in women. Early detection is key to ensuring good outcomes but a lack of minimally invasive screening tools is a significant barrier. Most endometrial cancers are obesity-driven and develop in the context of severe metabolomic dysfunction. Blood-derived metabolites may therefore provide clinically relevant biomarkers for endometrial cancer detection. In this study, we analysed plasma samples of women with body mass index (BMI) ≥ 30 kg/m2 and endometrioid endometrial cancer (cases, n = 67) or histologically normal endometrium (controls, n = 69), using a mass spectrometry-based metabolomics approach. Eighty percent of the samples were randomly selected to serve as a training set and the remaining 20% were used to qualify test performance. Robust predictive models (AUC > 0.9) for endometrial cancer detection based on artificial intelligence algorithms were developed and validated. Phospholipids were of significance as biomarkers of endometrial cancer, with sphingolipids (sphingomyelins) discriminatory in post-menopausal women. An algorithm combining the top ten performing metabolites showed 92.6% prediction accuracy (AUC of 0.95) for endometrial cancer detection. These results suggest that a simple blood test could enable the early detection of endometrial cancer and provide the basis for a minimally invasive screening tool for women with a BMI ≥ 30 kg/m2.
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Affiliation(s)
- Kelechi Njoku
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary’s Hospital, Oxford Road, Manchester M13 9WL, UK; (K.N.); (M.L.M.); (A.E.D.); (S.J.K.); (V.N.S.)
- Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
- Stoller Biomarker Discovery Centre, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (A.E.C.); (B.G.)
| | - Amy E. Campbell
- Stoller Biomarker Discovery Centre, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (A.E.C.); (B.G.)
| | - Bethany Geary
- Stoller Biomarker Discovery Centre, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (A.E.C.); (B.G.)
| | - Michelle L. MacKintosh
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary’s Hospital, Oxford Road, Manchester M13 9WL, UK; (K.N.); (M.L.M.); (A.E.D.); (S.J.K.); (V.N.S.)
- Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Abigail E. Derbyshire
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary’s Hospital, Oxford Road, Manchester M13 9WL, UK; (K.N.); (M.L.M.); (A.E.D.); (S.J.K.); (V.N.S.)
- Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Sarah J. Kitson
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary’s Hospital, Oxford Road, Manchester M13 9WL, UK; (K.N.); (M.L.M.); (A.E.D.); (S.J.K.); (V.N.S.)
- Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Vanitha N. Sivalingam
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary’s Hospital, Oxford Road, Manchester M13 9WL, UK; (K.N.); (M.L.M.); (A.E.D.); (S.J.K.); (V.N.S.)
- Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Andrew Pierce
- Wolfson Molecular Imaging Centre, Division of Cancer Sciences, University of Manchester, Palatine Road, Manchester M20 3LJ, UK;
| | - Anthony D. Whetton
- Stoller Biomarker Discovery Centre, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (A.E.C.); (B.G.)
- Wolfson Molecular Imaging Centre, Division of Cancer Sciences, University of Manchester, Palatine Road, Manchester M20 3LJ, UK;
- Correspondence: (A.D.W.); (E.J.C.); Tel.: +44-161-275-0038 (A.D.W.); +44-161-701-6942 (E.J.C.)
| | - Emma J. Crosbie
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary’s Hospital, Oxford Road, Manchester M13 9WL, UK; (K.N.); (M.L.M.); (A.E.D.); (S.J.K.); (V.N.S.)
- Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
- Correspondence: (A.D.W.); (E.J.C.); Tel.: +44-161-275-0038 (A.D.W.); +44-161-701-6942 (E.J.C.)
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Di Fiore R, Suleiman S, Ellul B, O’Toole SA, Savona-Ventura C, Felix A, Napolioni V, Conlon NT, Kahramanoglu I, Azzopardi MJ, Dalmas M, Calleja N, Brincat MR, Muscat-Baron Y, Sabol M, Dimitrievska V, Yordanov A, Vasileva-Slaveva M, von Brockdorff K, Micallef RA, Kubelac P, Achimas-Cadariu P, Vlad C, Tzortzatou O, Poka R, Giordano A, Felice A, Reed N, Herrington CS, Faraggi D, Calleja-Agius J. GYNOCARE Update: Modern Strategies to Improve Diagnosis and Treatment of Rare Gynecologic Tumors—Current Challenges and Future Directions. Cancers (Basel) 2021; 13:cancers13030493. [PMID: 33514073 PMCID: PMC7865420 DOI: 10.3390/cancers13030493] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/19/2021] [Accepted: 01/22/2021] [Indexed: 12/11/2022] Open
Abstract
Simple Summary More than 50% of all the tumors affecting the female genital tract can be classified as rare and usually have a poor prognosis owing to delayed diagnosis and treatment. Currently, gynecologic cancer research, due to distinct scientific and technological challenges, is lagging behind. Moreover, the overall efforts for addressing these challenges are fragmented across different countries. The European Network for Gynecological Rare Cancer Research: GYNOCARE aims to address these challenges by creating a unique network between key stakeholders covering distinct domains from basic research to cure. GYNOCARE is part of a European Collaboration in Science and Technology (COST) with the aim to focus on the development of new approaches to improve the diagnosis and treatment of rare gynecological tumors. Here, we provide a brief overview describing the goals of this COST Action and its future challenges with the aim to continue fighting against this rare cancer. Abstract More than 50% of all gynecologic tumors can be classified as rare (defined as an incidence of ≤6 per 100,000 women) and usually have a poor prognosis owing to delayed diagnosis and treatment. In contrast to almost all other common solid tumors, the treatment of rare gynecologic tumors (RGT) is often based on expert opinion, retrospective studies, or extrapolation from other tumor sites with similar histology, leading to difficulty in developing guidelines for clinical practice. Currently, gynecologic cancer research, due to distinct scientific and technological challenges, is lagging behind. Moreover, the overall efforts for addressing these challenges are fragmented across different European countries and indeed, worldwide. The GYNOCARE, COST Action CA18117 (European Network for Gynecological Rare Cancer Research) programme aims to address these challenges through the creation of a unique network between key stakeholders covering distinct domains from concept to cure: basic research on RGT, biobanking, bridging with industry, and setting up the legal and regulatory requirements for international innovative clinical trials. On this basis, members of this COST Action, (Working Group 1, “Basic and Translational Research on Rare Gynecological Cancer”) have decided to focus their future efforts on the development of new approaches to improve the diagnosis and treatment of RGT. Here, we provide a brief overview of the current state-of-the-art and describe the goals of this COST Action and its future challenges with the aim to stimulate discussion and promote synergy across scientists engaged in the fight against this rare cancer worldwide.
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Affiliation(s)
- Riccardo Di Fiore
- Department of Anatomy, Faculty of Medicine and Surgery, University of Malta, MSD 2080 Msida, Malta; (R.D.F.); (S.S.)
- Center for Biotechnology, Sbarro Institute for Cancer Research and Molecular Medicine, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA;
| | - Sherif Suleiman
- Department of Anatomy, Faculty of Medicine and Surgery, University of Malta, MSD 2080 Msida, Malta; (R.D.F.); (S.S.)
| | - Bridget Ellul
- Centre for Molecular Medicine & Biobanking, University of Malta, MSD 2080 Msida, Malta;
| | - Sharon A. O’Toole
- Departments of Obstetrics and Gynaecology and Histopathology, Trinity St James’s Cancer Institute, Trinity College Dublin, Dublin 8, Ireland;
| | - Charles Savona-Ventura
- Department of Obstetrics and Gynaecology, Faculty of Medicine and Surgery, University of Malta, MSD 2080 Msida, Malta;
| | - Ana Felix
- Department of Pathology, Campo dos Mártires da Pátria, Instituto Portugues de Oncologia de Lisboa, NOVA Medical School, UNL, 130, 1169-056 Lisboa, Portugal;
| | - Valerio Napolioni
- Genomic And Molecular Epidemiology (GAME) Lab., School of Biosciences and Veterinary Medicine, University of Camerino, 62032 Camerino, Italy;
| | - Neil T. Conlon
- National Institute for Cellular Biotechnology, Dublin City University, Glasnevin, 9 Dublin, Ireland;
| | - Ilker Kahramanoglu
- Department of Gynecologic Oncology, Emsey Hospital, Istanbul 3400, Turkey;
| | - Miriam J. Azzopardi
- Directorate for Health Information and Research, PTA 1313 G’Mangia, Malta; (M.J.A.); (N.C.)
| | - Miriam Dalmas
- Office of the Chief Medical Officer, Department of Policy in Health, Ministry for Health, 15 Merchants Street, VLT 1171 Valletta, Malta;
| | - Neville Calleja
- Directorate for Health Information and Research, PTA 1313 G’Mangia, Malta; (M.J.A.); (N.C.)
| | - Mark R. Brincat
- Department of Obstetrics and Gynaecology, Mater Dei Hospital, Triq Dun Karm, MSD 2090 Msida, Malta; (M.R.B.); (Y.M.-B.)
| | - Yves Muscat-Baron
- Department of Obstetrics and Gynaecology, Mater Dei Hospital, Triq Dun Karm, MSD 2090 Msida, Malta; (M.R.B.); (Y.M.-B.)
| | - Maja Sabol
- Laboratory for Hereditary Cancer, Division of Molecular Medicine, Ruđer Bošković Institute, 10000 Zagreb, Croatia;
| | | | - Angel Yordanov
- Department of Gynecologic Oncology, Medical University Pleven, 5800 Pleven, Bulgaria;
| | | | - Kristelle von Brockdorff
- Sir Anthony Mamo Oncology Centre, Department of Oncology and Radiotherapy, Mater Dei Hospital, MSD 2090 Msida, Malta; (K.v.B.); (R.A.M.)
| | - Rachel A. Micallef
- Sir Anthony Mamo Oncology Centre, Department of Oncology and Radiotherapy, Mater Dei Hospital, MSD 2090 Msida, Malta; (K.v.B.); (R.A.M.)
| | - Paul Kubelac
- Department of Medical Oncology, The Oncology Institute “Prof. Dr. Ion Chiricuţă”. 34–36 Republicii Street, 400015 Cluj-Napoca, Romania;
- Department of Oncology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (P.A.-C.); (C.V.)
| | - Patriciu Achimas-Cadariu
- Department of Oncology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (P.A.-C.); (C.V.)
- Department of Surgical Oncology, The Oncology Institute “Prof. Dr. Ion Chiricuta”, 400015 Cluj-Napoca, Romania
| | - Catalin Vlad
- Department of Oncology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (P.A.-C.); (C.V.)
- Department of Surgery, The Oncology Institute “Prof. Dr. Ion Chiricuta”, 400015 Cluj Napoca, Romania
| | - Olga Tzortzatou
- Biomedical Research Foundation of the Academy of Athens, Soranou Efesiou 4 str., 11527 Athens, Greece;
| | - Robert Poka
- Institute of Obstetrics and Gynaecology, University of Debrecen, Nagyerdei krt. 98, 4032 Debrecen, Hungary;
| | - Antonio Giordano
- Center for Biotechnology, Sbarro Institute for Cancer Research and Molecular Medicine, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA;
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
| | - Alex Felice
- Centre of Molecular Medicine and BioBanking, Department of Physiology & Biochemistry, Faculty of Medicine & Surgery, University of Malta, MSD 2080 Msida, Malta;
| | - Nicholas Reed
- Beatson Oncology Centre, Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, UK;
| | - C. Simon Herrington
- Cancer Research UK Edinburgh Centre, Western General Hospital, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK;
| | - David Faraggi
- Department of Statistics, University of Haifa, Haifa 31905, Israel;
| | - Jean Calleja-Agius
- Department of Anatomy, Faculty of Medicine and Surgery, University of Malta, MSD 2080 Msida, Malta; (R.D.F.); (S.S.)
- Correspondence: ; Tel.: +356-2340-1892
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Njoku K, O'Flynn H, Jones E, Ramchander NC, White H, Macey R, Crosbie EJ. Screening tests for endometrial cancer in the general population. Hippokratia 2021. [DOI: 10.1002/14651858.cd013859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Kelechi Njoku
- Division of Cancer Sciences; Faculty of Biology, Medicine and Health, The University of Manchester; Manchester UK
| | - Helena O'Flynn
- Division of Cancer Sciences; Faculty of Biology, Medicine and Health, The University of Manchester; Manchester UK
| | - Eleanor Jones
- Division of Cancer Sciences; Faculty of Biology, Medicine and Health, The University of Manchester; Manchester UK
| | - Neal C Ramchander
- Division of Cancer Sciences; Faculty of Biology, Medicine and Health, The University of Manchester; Manchester UK
| | - Helen White
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health; The University of Manchester ; Manchester UK
| | - Richard Macey
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS); University of Oxford; Oxford UK
| | - Emma J Crosbie
- Division of Cancer Sciences; Faculty of Biology, Medicine and Health, The University of Manchester; Manchester UK
- Manchester Academic Health Science Centre; Manchester University NHS Foundation Trust; Manchester UK
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Tokarz J, Adamski J, Lanišnik Rižner T. Metabolomics for Diagnosis and Prognosis of Uterine Diseases? A Systematic Review. J Pers Med 2020; 10:294. [PMID: 33371433 PMCID: PMC7767462 DOI: 10.3390/jpm10040294] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 12/08/2020] [Accepted: 12/18/2020] [Indexed: 12/24/2022] Open
Abstract
This systematic review analyses the contribution of metabolomics to the identification of diagnostic and prognostic biomarkers for uterine diseases. These diseases are diagnosed invasively, which entails delayed treatment and a worse clinical outcome. New options for diagnosis and prognosis are needed. PubMed, OVID, and Scopus were searched for research papers on metabolomics in physiological fluids and tissues from patients with uterine diseases. The search identified 484 records. Based on inclusion and exclusion criteria, 44 studies were included into the review. Relevant data were extracted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) checklist and quality was assessed using the QUADOMICS tool. The selected metabolomics studies analysed plasma, serum, urine, peritoneal, endometrial, and cervico-vaginal fluid, ectopic/eutopic endometrium, and cervical tissue. In endometriosis, diagnostic models discriminated patients from healthy and infertile controls. In cervical cancer, diagnostic algorithms discriminated patients from controls, patients with good/bad prognosis, and with/without response to chemotherapy. In endometrial cancer, several models stratified patients from controls and recurrent from non-recurrent patients. Metabolomics is valuable for constructing diagnostic models. However, the majority of studies were in the discovery phase and require additional research to select reliable biomarkers for validation and translation into clinical practice. This review identifies bottlenecks that currently prevent the translation of these findings into clinical practice.
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Affiliation(s)
- Janina Tokarz
- Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, German Research Centre for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; (J.T.); (J.A.)
| | - Jerzy Adamski
- Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, German Research Centre for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; (J.T.); (J.A.)
- German Centre for Diabetes Research, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, 85764 Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore
| | - Tea Lanišnik Rižner
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia
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Neves LX, Granato DC, Busso-Lopes AF, Carnielli CM, Patroni FMDS, De Rossi T, Oliveira AK, Ribeiro ACP, Brandão TB, Rodrigues AN, Lacerda PA, Uno M, Cervigne NK, Santos-Silva AR, Kowalski LP, Lopes MA, Paes Leme AF. Peptidomics-Driven Strategy Reveals Peptides and Predicted Proteases Associated With Oral Cancer Prognosis. Mol Cell Proteomics 2020; 20:100004. [PMID: 33578082 PMCID: PMC7950089 DOI: 10.1074/mcp.ra120.002227] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 10/26/2020] [Accepted: 11/11/2020] [Indexed: 12/11/2022] Open
Abstract
Protease activity has been associated with pathological processes that can lead to cancer development and progression. However, understanding the pathological unbalance in proteolysis is challenging because changes can occur simultaneously at protease, their inhibitor, and substrate levels. Here, we present a pipeline that combines peptidomics, proteomics, and peptidase predictions for studying proteolytic events in the saliva of 79 patients and their association with oral squamous cell carcinoma (OSCC) prognosis. Our findings revealed differences in the saliva peptidome of patients with (pN+) or without (pN0) lymph-node metastasis and delivered a panel of ten endogenous peptides correlated with poor prognostic factors plus five molecules able to classify pN0 and pN+ patients (area under the receiver operating characteristic curve > 0.85). In addition, endopeptidases and exopeptidases putatively implicated in the processing of differential peptides were investigated using cancer tissue gene expression data from public repositories, reinforcing their association with poorer survival rates and prognosis in oral cancer. The dynamics of the OSCC-related proteolysis were further explored via the proteomic profiling of saliva. This revealed that peptidase/endopeptidase inhibitors exhibited reduced levels in the saliva of pN+ patients, as confirmed by selected reaction monitoring-mass spectrometry, while minor changes were detected in the level of saliva proteases. Taken together, our results indicated that proteolytic activity is accentuated in the saliva of patients with OSCC and lymph-node metastasis and, at least in part, is modulated by reduced levels of salivary peptidase inhibitors. Therefore, this integrated pipeline provided better comprehension and discovery of molecular features with implications in the oral cancer metastasis prognosis.
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Affiliation(s)
- Leandro Xavier Neves
- Brazilian Biosciences National Laboratory, National Center for Research in Energy and Materials, Campinas, Brazil
| | - Daniela C Granato
- Brazilian Biosciences National Laboratory, National Center for Research in Energy and Materials, Campinas, Brazil
| | - Ariane Fidelis Busso-Lopes
- Brazilian Biosciences National Laboratory, National Center for Research in Energy and Materials, Campinas, Brazil
| | - Carolina M Carnielli
- Brazilian Biosciences National Laboratory, National Center for Research in Energy and Materials, Campinas, Brazil
| | - Fábio M de Sá Patroni
- Molecular Biology and Genetic Engineering Center, University of Campinas, Campinas, Brazil
| | - Tatiane De Rossi
- Brazilian Biosciences National Laboratory, National Center for Research in Energy and Materials, Campinas, Brazil
| | - Ana Karina Oliveira
- Brazilian Biosciences National Laboratory, National Center for Research in Energy and Materials, Campinas, Brazil
| | | | | | - André Nimtz Rodrigues
- Department of Head and Neck Surgery, Faculty of Medicine of Jundiaí, Jundiaí, Brazil
| | - Pammela Araujo Lacerda
- Department of Internal Medicine, Molecular Biology and Cell Culture Laboratory, Faculty of Medicine of Jundiaí, Jundiaí, Brazil
| | - Miyuki Uno
- Center for Translational Research in Oncology, São Paulo Cancer Institute, São Paulo, Brazil
| | - Nilva K Cervigne
- Department of Internal Medicine, Molecular Biology and Cell Culture Laboratory, Faculty of Medicine of Jundiaí, Jundiaí, Brazil
| | - Alan Roger Santos-Silva
- Oral Diagnosis Department, Piracicaba Dental School, University of Campinas, Piracicaba, São Paulo, Brazil
| | - Luiz Paulo Kowalski
- Head and Neck Surgery, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Marcio Ajudarte Lopes
- Oral Diagnosis Department, Piracicaba Dental School, University of Campinas, Piracicaba, São Paulo, Brazil
| | - Adriana F Paes Leme
- Brazilian Biosciences National Laboratory, National Center for Research in Energy and Materials, Campinas, Brazil.
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Králíčková M, Vetvicka V, Laganà AS. Endometrial cancer-is our knowledge changing? Transl Cancer Res 2020; 9:7734-7745. [PMID: 35117376 PMCID: PMC8798081 DOI: 10.21037/tcr-20-1720] [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: 03/29/2020] [Accepted: 04/29/2020] [Indexed: 11/27/2022]
Abstract
In developed countries, endometrial cancer (EC) is the most frequent gynecologic malignancy in postmenopausal women. At the same time, EC has become one of the most common cancers in numerous developing countries, probably influenced by global epidemic of obesity. The majority of patients have low-grade endometrioid cancer with a high 5-year survival rate, but with high-risk EC, the survival rates are still rather low. However, despite intensive research in last decades, our knowledge of the mechanisms, risk factors, diagnosis and treatment have not significantly improved. The standard treatment of all types of EC is still a traditional combination of surgery, irradiation and/or chemotherapy, despite the fact that each of these options is not without having some negative side effects. Despite the fact that on the molecular level, EC is relatively well-studied, but the efforts to transform these findings into either diagnosis or therapies of EC remain elusive. In addition, some research into risk factors involved in the development or progression of EC seems to be more a fishing expedition than a well thought-out approach. The purpose of this review is to summarize the most recent developments in the search for biomarkers and prognostic markers and to discuss the progress in EC treatment.
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Affiliation(s)
- Milena Králíčková
- Department of Histology and Embryology, Faculty of Medicine, Charles University, Karlovarska 48, Plzen, Czech Republic.,Department of Obstetrics and Gynecology, University Hospital, Faculty of Medicine, Charles University, Alej Svobody 80, Plzen, Czech Republic.,Biomedical Centre, Faculty of Medicine in Plzen, Charles University, Plzen, Czech Republic
| | - Vaclav Vetvicka
- Department of Pathology, University of Louisville, Louisville, KY, USA
| | - Antonio Simone Laganà
- Department of Obstetrics and Gynecology, "Filippo Del Ponte" Hospital, University of Insubria, Piazza Biroldi 1, Varese, Italy
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Njoku K, Chiasserini D, Jones ER, Barr CE, O’Flynn H, Whetton AD, Crosbie EJ. Urinary Biomarkers and Their Potential for the Non-Invasive Detection of Endometrial Cancer. Front Oncol 2020; 10:559016. [PMID: 33224875 PMCID: PMC7670058 DOI: 10.3389/fonc.2020.559016] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 10/12/2020] [Indexed: 12/24/2022] Open
Abstract
Endometrial cancer is the most common malignancy of the female genital tract and its incidence is rising in parallel with the mounting prevalence of obesity. Early diagnosis has great potential to improve outcomes as treatment can be curative, especially for early stage disease. Current tests and procedures for diagnosis are limited by insufficient accuracy in some and unacceptable levels of invasiveness and discomfort in others. There has, therefore, been a growing interest in the search for sensitive and specific biomarkers for endometrial cancer detection based on non-invasive sampling methodologies. Urine, the prototype non-invasive sample, is attractive for biomarker discovery as it is easily accessible and can be collected repeatedly and in quantity. Identification of urinary biomarkers for endometrial cancer detection relies on the excretion of systemic biomarkers by the kidneys or urinary contamination by biomarkers shed from the uterus. In this review, we present the current standing of the search for endometrial cancer urinary biomarkers based on cytology, genomic, transcriptomic, proteomic, and metabolomic platforms. We summarize the biomarker candidates and highlight the challenges inherent in urinary biomarker discovery. We review the various technologies with promise for biomarker detection and assess these novel approaches for endometrial cancer biomarker research.
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Affiliation(s)
- Kelechi Njoku
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary’s Hospital, Manchester, United Kingdom
- Stoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - Davide Chiasserini
- Stoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom
- Section of Physiology and Biochemistry, Department of Experimental Medicine, University of Perugia, Perugia, Italy
| | - Eleanor R. Jones
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary’s Hospital, Manchester, United Kingdom
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Chloe E. Barr
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary’s Hospital, Manchester, United Kingdom
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Helena O’Flynn
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary’s Hospital, Manchester, United Kingdom
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Anthony D. Whetton
- Stoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - Emma J. Crosbie
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary’s Hospital, Manchester, United Kingdom
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
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48
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New Insights into Breast and Endometrial Cancers. Cancers (Basel) 2020; 12:cancers12092595. [PMID: 32932889 PMCID: PMC7563714 DOI: 10.3390/cancers12092595] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 09/08/2020] [Accepted: 09/10/2020] [Indexed: 02/06/2023] Open
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Liu J, Nie S, Wu Z, Jiang Y, Wan Y, Li S, Meng H, Zhou S, Cheng W. Exploration of a novel prognostic risk signatures and immune checkpoint molecules in endometrial carcinoma microenvironment. Genomics 2020; 112:3117-3134. [DOI: 10.1016/j.ygeno.2020.05.022] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 05/21/2020] [Accepted: 05/22/2020] [Indexed: 12/13/2022]
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Njoku K, Sutton CJ, Whetton AD, Crosbie EJ. Metabolomic Biomarkers for Detection, Prognosis and Identifying Recurrence in Endometrial Cancer. Metabolites 2020; 10:E314. [PMID: 32751940 PMCID: PMC7463916 DOI: 10.3390/metabo10080314] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 07/24/2020] [Accepted: 07/27/2020] [Indexed: 12/24/2022] Open
Abstract
Metabolic reprogramming is increasingly recognised as one of the defining hallmarks of tumorigenesis. There is compelling evidence to suggest that endometrial cancer develops and progresses in the context of profound metabolic dysfunction. Whilst the incidence of endometrial cancer continues to rise in parallel with the global epidemic of obesity, there are, as yet, no validated biomarkers that can aid risk prediction, early detection, prognostic evaluation or surveillance. Advances in high-throughput technologies have, in recent times, shown promise for biomarker discovery based on genomic, transcriptomic, proteomic and metabolomic platforms. Metabolomics, the large-scale study of metabolites, deals with the downstream products of the other omics technologies and thus best reflects the human phenotype. This review aims to provide a summary and critical synthesis of the existing literature with the ultimate goal of identifying the most promising metabolite biomarkers that can augment current endometrial cancer diagnostic, prognostic and recurrence surveillance strategies. Identified metabolites and their biochemical pathways are discussed in the context of what we know about endometrial carcinogenesis and their potential clinical utility is evaluated. Finally, we underscore the challenges inherent in metabolomic biomarker discovery and validation and provide fresh perspectives and directions for future endometrial cancer biomarker research.
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Affiliation(s)
- Kelechi Njoku
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary’s Hospital, Oxford Road, Manchester M13 9WL, UK;
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK;
| | - Caroline J.J Sutton
- School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9WL, UK;
| | - Anthony D. Whetton
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK;
| | - Emma J. Crosbie
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary’s Hospital, Oxford Road, Manchester M13 9WL, UK;
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
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