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Dilek ON, Arslan Kahraman Dİ, Kahraman G. Carcinoembryonic antigen in the diagnosis, treatment, and follow-up of focal liver lesions. World J Gastrointest Surg 2024; 16:999-1007. [PMID: 38690060 PMCID: PMC11056666 DOI: 10.4240/wjgs.v16.i4.999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 02/02/2024] [Accepted: 03/13/2024] [Indexed: 04/22/2024] Open
Abstract
In this editorial review, we comment on the article published in the recent issue of the World Journal of Gastrointestinal Surgery. Carcinoembryonic antigen (CEA) is a fetal glycoprotein and can be secreted in very small amounts from healthy adults after birth. CEA is widely used not only for diagnostic tumor markers but also importantly for the management of some gastrointestinal tumors. The most common clinical use is surveillance for the monitoring of colorectal carcinoma. However, CEA can become elevated in several malign or benign characterized pathologies. Serum CEA level may vary depending on the location of the lesion, whether it metastasizes or not, and its histopathological characteristics. It has been determined that cases with high preoperative CEA have a more aggressive course and the risk of metastasis to the lymph tissue and liver increases. In this editorial review, we focused on evaluating the role of CEA in clinical practice with a holistic approach, including the diagnostic and prognostic significance of CEA in patients with focal liver lesions, the role of CEA in follow-up after definitive surgery, and also hepatic resection for metastasis, and the management of all patients with raised CEA.
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Affiliation(s)
- Osman Nuri Dilek
- Department of Surgery, İzmir Katip Celebi University, School of Medicine, İzmir 35150, Turkey
| | | | - Gökhan Kahraman
- Department of Radiology, Suluova State Hospital, Amasya 5500, Turkey
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Dou X, Lu J, Yu Y, Yi Y, Zhou L. Determination of Tumor Marker Screening for Lung Cancer Using ROC Curves. DISEASE MARKERS 2024; 2024:4782618. [PMID: 38549716 PMCID: PMC10978075 DOI: 10.1155/2024/4782618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 02/13/2024] [Accepted: 02/21/2024] [Indexed: 04/02/2024]
Abstract
Introduction Lung cancer ranks first among malignant tumors worldwide and is a leading cause of cancer-related mortality in both men and women. Combining tumor marker testing is a strategy to screen individuals at high risk of pulmonary cancer and minimize pulmonary cancer mortality. Therefore, tumor marker screening is crucial. In this study, we analyzed combinations of tumor markers for lung cancer screening using receiver operating characteristic (ROC) curve analysis. Methods A retrospective descriptive study was conducted on patients diagnosed with lung cancer, as well as healthy and benign lung diseases, using data from the China Huludao Central Hospital database between January 2016 and July 2022. The t-test and ROC curve were utilized to assess the effectiveness of individual tumor marker and the combination of multiple tumor markers. Tumor markers are molecular products metabolized and secreted by tumor tissues, characterized by cells or body fluids. They serve as indicators of tumor stage and grading, monitor treatment response, and predict recurrence. Results In this study, 267 healthy participants, 385 patients with benign lesions, and 296 patients with lung cancer underwent tumor marker screening. The sensitivity of five tumor markers-CEA, CYFRA21-1, NSE, pro-GRP, and CA125-was found to be <55%. This study revealed that a single tumor marker had limited value in lung cancer screening. However, combining two or more markers yielded varying area under the curves (AUC), with no significant impact on screening accuracy. The combination of CEA + CA125 demonstrated the highest accuracy for lung cancer screening in healthy participants. At a cutoff of 0.447 for CEA + CA125, the combination showed a sensitivity of 0.676 and specificity of 0.846 for lung cancer screening. Conversely, for patients with benign lung lesions, the optimal combination was CEA + NSE, with a cutoff of 0.393, yielding a sensitivity of 0.645 and specificity of 0.766 for lung cancer screening. Conclusion The five tumor markers-CEA, CA125, CY211, NSE, GRP-show promising results in screening healthy individuals and patients with lung cancer. However, only CEA, NSE, and GRP effectively differentiate patients with benign lung lesions from those with lung cancer. A single tumor marker has limited utility in detecting and screening for lung cancer and should be combined with other tumor markers. CEA + CA125 emerges as a superior tumor marker for distinguishing healthy individuals from those with lung cancer, whereas the CEA + NSE combination is more effective in identifying tumor markers in patients with benign lung lesions and lung cancer.
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Affiliation(s)
- Xiaofeng Dou
- School of Public Health, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Jiachen Lu
- School of Public Health, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Yingying Yu
- School of Public Health, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Yaohui Yi
- School of Public Health, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Ling Zhou
- School of Public Health, Dalian Medical University, Dalian 116044, Liaoning, China
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O’Brien C, Khor CK, Ardalan S, Ignaszak A. Multiplex electrochemical sensing platforms for the detection of breast cancer biomarkers. FRONTIERS IN MEDICAL TECHNOLOGY 2024; 6:1360510. [PMID: 38425422 PMCID: PMC10902167 DOI: 10.3389/fmedt.2024.1360510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
Herein, advancements in electroanalytical devices for the simultaneous detection of diverse breast cancer (BC) markers are demonstrated. This article identifies several important areas of exploration for electrochemical diagnostics and highlights important factors that are pivotal for the successful deployment of novel bioanalytical devices. We have highlighted that the limits of detection (LOD) reported for the multiplex electrochemical biosensor can surpass the sensitivity displayed by current clinical standards such as ELISA, FISH, and PCR. HER-2; a breast cancer marker characterised by increased metastatic potential, more aggressive development, and poor clinical outcomes; can be sensed with a LOD of 0.5 ng/ml using electrochemical multiplex platforms, which falls within the range of that measured by ELISA (from picogram/ml to nanogram/ml). Electrochemical multiplex biosensors are reported with detection limits of 0.53 ng/ml and 0.21 U/ml for MUC-1 and CA 15-3, respectively, or 5.8 × 10-3 U/ml for CA 15-3 alone. The sensitivity of electrochemical assays is improved when compared to conventional analysis of MUC-1 protein which is detected at 11-12 ng/ml, and ≤30 U/ml for CA 15-3 in the current clinical blood tests. The LOD for micro-ribonucleic acid (miRNA) biomarkers analyzed by electrochemical multiplex assays were all notedly superior at 9.79 × 10-16 M, 3.58 × 10-15 M, and 2.54 × 10-16 M for miRNA-155, miRNA-21, and miRNA-16, respectively. The dogma in miRNA testing is the qRT-PCR method, which reports ranges in the ng/ml level for the same miRNAs. Breast cancer exosomes, which are being explored as a new frontier of biosensing, have been detected electrochemically with an LOD of 103-108 particles/mL and can exceed detection limits seen by the tracking and analysis of nanoparticles (∼ 107 particles/ml), flow cytometry, Western blotting and ELISA, etc. A range of concentration at 78-5,000 pg/ml for RANKL and 16-1,000 pg/ml for TNF is reported for ELISA assay while LOD values of 2.6 and 3.0 pg/ml for RANKL and TNF, respectively, are demonstrated by the electrochemical dual immunoassay platform. Finally, EGFR and VEGF markers can be quantified at much lower concentrations (0.01 and 0.005 pg/ml for EGFR and VEGF, respectively) as compared to their ELISA assays (EGRF at 0.31-20 ng/ml and VEGF at 31.3-2,000 pg/ml). In this study we hope to answer several questions: (1) Are the limits of detection (LODs) reported for multiplex electrochemical biosensors of clinical relevance and how do they compare to well-established methods like ELISA, FISH, or PCR? (2) Can a single sensor electrode be used for the detection of multiple markers from one blood drop? (3) What mechanism of electrochemical biosensing is the most promising, and what technological advancements are needed to utilize these devices for multiplex POC detection? (4) Can nanotechnology advance the sensitive and selective diagnostics of multiple BC biomarkers? (5) Are there preferred receptors (antibody, nucleic acid or their combinations) and preferred biosensor designs (complementary methods, sandwich-type protocols, antibody/aptamer concept, label-free protocol)? (6) Why are we still without FDA-approved electrochemical multiplex devices for BC screening?
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Affiliation(s)
- Connor O’Brien
- Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - Chun Keat Khor
- Department of Chemistry, University of New Brunswick, Fredericton, NB, Canada
| | - Sina Ardalan
- Department of Chemistry, University of New Brunswick, Fredericton, NB, Canada
| | - Anna Ignaszak
- Department of Chemistry, University of New Brunswick, Fredericton, NB, Canada
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Montes de Jesus FM, Giovanella L. Unexplained increase of serum carcinoembryonic antigen: don't forget the thyroid! Clin Chem Lab Med 2023; 61:e203-e205. [PMID: 37053395 DOI: 10.1515/cclm-2023-0324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 04/02/2023] [Indexed: 04/15/2023]
Affiliation(s)
- Filipe Miguel Montes de Jesus
- Clinic for Nuclear Medicine and Molecular Imaging, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
| | - Luca Giovanella
- Clinic for Nuclear Medicine and Molecular Imaging, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
- Clinic for Nuclear Medicine, University Hospital of Zürich, Zürich, Switzerland
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Raza A, Mohsen R, Kanbour A, Zar Gul AR, Philip A, Vijayakumar S, Hydrose S, Prabhu KS, Al-Suwaidi AK, Inchakalody VP, Merhi M, Abo El-Ella DM, Tauro MA, Akbar S, Al-Bozom I, Abualainin W, Al-Abdulla R, Sirriya SA, Hassnad S, Uddin S, Mohamed Ibrahim MI, Al Homsi U, Demime S. Serum immune mediators as novel predictors of response to anti-PD-1/PD-L1 therapy in non-small cell lung cancer patients with high tissue-PD-L1 expression. Front Immunol 2023; 14:1157100. [PMID: 37256148 PMCID: PMC10225547 DOI: 10.3389/fimmu.2023.1157100] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 04/13/2023] [Indexed: 06/01/2023] Open
Abstract
Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related morbidity and mortality worldwide. Immune checkpoint inhibitors (ICIs) including anti-PD-1 and anti-PD-L1 antibodies, have significantly changed the treatment outcomes with better overall survival, but only 15-40% of the patients respond to ICIs therapy. The search for predictive biomarkers of responses is warranted for better clinical outcomes. We aim here to identify pre-treatment soluble immune molecules as surrogate biomarkers for tissue PD-L1 (TPD-L1) status and as predictors of response to anti-PD-1/PD-L1 therapy in NSCLC patients. Sera from 31 metastatic NSCLC patients, eligible for anti-PD-1/PD-L1 or combined chemoimmunotherapy, were collected prior to treatment. Analysis of soluble biomarkers with TPD-L1 status showed significant up/down regulation of the immune inhibitory checkpoint markers (sSiglec7, sSiglec9, sULBP4 and sPD-L2) in patients with higher TPD-L1 (TPD-L1 >50%) expression. Moreover, correlation analysis showed significant positive linear correlation of soluble PD-L1 (sPD-L1) with higher TPD-L1 expression. Interestingly, only responders in the TPD-L1 >50% group showed significant down regulation of the immune inhibitory markers (sPD-L2, sTIMD4, sNectin2 and CEA). When responders vs. non-responders were compared, significant down regulation of other immune inhibitory biomarkers (sCD80, sTIMD4 and CEA) was recorded only in responding patients. In this, the optimal cut-off values of CD80 <91.7 pg/ml and CEA <1614 pg/ml were found to be significantly associated with better progression free survival (PFS). Indeed, multivariate analysis identified the cutoff-value of CEA <1614 pg/ml as an independent predictor of response in our patients. We identified here novel immune inhibitory/stimulatory soluble mediators as potential surrogate/predictive biomarkers for TPD-L1 status, treatment response and PFS in NSCLC patients treated with anti-PD-1/PD-L1 therapy.
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Affiliation(s)
- Afsheen Raza
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
- Translational Cancer Research Facility, Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Reyad Mohsen
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
| | - Aladdin Kanbour
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
| | - Abdul Rehman Zar Gul
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
| | - Anite Philip
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
| | - Suma Vijayakumar
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
| | - Shereena Hydrose
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
- Translational Cancer Research Facility, Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Kirti S. Prabhu
- Translational Research Institute (TRI), Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Aisha Khamis Al-Suwaidi
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
- Translational Cancer Research Facility, Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Varghese Philipose Inchakalody
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
- Translational Cancer Research Facility, Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Maysaloun Merhi
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
- Translational Cancer Research Facility, Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Dina M. Abo El-Ella
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
- Translational Cancer Research Facility, Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | | | - Shayista Akbar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Issam Al-Bozom
- Department of Laboratory Medicine and Pathology, Hamad Medical Corporation, Doha, Qatar
| | - Wafa Abualainin
- Diagnostic Genomic Division , Department of Laboratory Medicine and Pathology, Hamad Medical Corporation, Doha, Qatar
| | - Rajaa Al-Abdulla
- Department of Laboratory Medicine and Pathology, Hamad Medical Corporation, Doha, Qatar
| | - Shaza Abu Sirriya
- Diagnostic Genomic Division , Department of Laboratory Medicine and Pathology, Hamad Medical Corporation, Doha, Qatar
| | - Suparna Hassnad
- Department of Radiation Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
| | - Shahab Uddin
- Translational Research Institute and Dermatology Institute, Academic Health System, Hamad, Medical Corporation, Doha, Qatar
- Laboratory Animal Research Center, Qatar University, Doha, Qatar
| | - Mohamed Izham Mohamed Ibrahim
- Clinical Pharmacy and Practice Department, College of Pharmacy, Qatar University (QU) Health, Qatar University, Doha, Qatar
| | - Ussama Al Homsi
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
| | - Said Demime
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
- Translational Cancer Research Facility, Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
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Discovering Breast Cancer Biomarkers Candidates through mRNA Expression Analysis Based on The Cancer Genome Atlas Database. J Pers Med 2022; 12:jpm12101753. [PMID: 36294892 PMCID: PMC9604861 DOI: 10.3390/jpm12101753] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 10/19/2022] [Accepted: 10/19/2022] [Indexed: 11/07/2022] Open
Abstract
Background: Research on the discovery of tumor biomarkers based on big data analysis is actively being conducted. This study aimed to secure foundational data for identifying new biomarkers of breast cancer via breast cancer datasets in The Cancer Genome Atlas (TCGA). Methods: The mRNA profiles of 526 breast cancer and 60 adjacent non-cancerous breast tissues collected from TCGA datasets were analyzed via MultiExperiment Viewer and GraphPad Prism. Diagnostic performance was analyzed by identifying the pathological grades of the selected differentially expressed (DE) mRNAs and the expression patterns of molecular subtypes. Results: Via DE mRNA profile analysis, we selected 14 mRNAs with downregulated expression (HADH, CPN2, ADAM33, TDRD10, SNF1LK2, HBA2, KCNIP2, EPB42, PYGM, CEP68, ING3, EMCN, SYF2, and DTWD1) and six mRNAs with upregulated expression (ZNF8, TOMM40, EVPL, EPN3, AP1M2, and SPINT2) in breast cancer tissues compared to that in non-cancerous tissues (p < 0.001). Conclusions: In total, 20 DE mRNAs had an area under cover of 0.9 or higher, demonstrating excellent diagnostic performance in breast cancer. Therefore, the results of this study will provide foundational data for planning preliminary studies to identify new tumor biomarkers.
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Zhang Q, Fang Y, She C, Zheng R, Hong C, Chen C, Wu J. Diagnostic and prognostic significance of SLC50A1 expression in patients with primary early breast cancer. Exp Ther Med 2022; 24:616. [PMID: 36160901 PMCID: PMC9468843 DOI: 10.3892/etm.2022.11553] [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: 04/26/2022] [Accepted: 07/22/2022] [Indexed: 02/05/2023] Open
Abstract
There is a lack of validated biomarkers for the diagnosis of early breast cancer (EBC). The current study aimed to determine the diagnostic and prognostic value of solute carrier family 50 member 1 (SLC50A1) in patients with EBC. Therefore, 123 patients with EBC, 30 patients with benign breast disease (BBD) and 26 healthy controls (HCs) were recruited. The serum levels of SLC50A1 in paired sera of 40 postoperative patients were assessed by ELISA. Immunohistochemical staining for SLC50A1 was performed in surgical tissue derived from 83 patients with EBC and 30 patients with BBD. mRNA expression of SLC50A1 and its diagnostic and prognostic value in patients with EBC was evaluated using an RNA-sequencing database. The results showed that serum levels of SLC50A1 in patients with EBC were significantly higher compared with those in patients with BBD and HCs (both P<0.001). Additionally, receiver operating characteristic curve analysis revealed that the serum levels of SLC50A1 distinguished patients with EBC from patients with BBD and HCs with a sensitivity of 76.42% and specificity of 76.79% [area under the curve (AUC)=0.783; P<0.001]. The diagnostic value of SLC50A1 was significantly greater than that of carcinoembryonic (P<0.005) and carbohydrate antigen 15-3 (P<0.029). Furthermore, the number of SLC50A1 positive cells significantly increased in tissue of patients with EBC compared with patients with BBD (P<0.001). A positive association between serum levels of SLC50A1 and its expression in tissue samples was observed in patients with EBC (ρ=0.700; P<0.001). Additionally, bioinformatics analysis verified the diagnostic value of SLC50A1, with an AUC of 0.983 (P<0.001). Multivariate analysis demonstrated that SLC50A1 was an independent prognostic factor in patients with EBC with a hazard ratio of 1.917 (P=0.013). These findings indicated that SLC50A1 may be a potential diagnostic biomarker for primary EBC and that SLC50A1 upregulation may be associated with unfavorable prognosis in patients with EBC.
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Affiliation(s)
- Qunchen Zhang
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
- Department of Central Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
| | - Yutong Fang
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
- Department of Central Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
| | - Chuanghong She
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
- Department of Central Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
| | - Rongji Zheng
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
- Department of Central Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
| | - Chaoqun Hong
- Department of Central Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
- Guangdong Provincial Key Laboratory for Breast Cancer Diagnosis and Treatment, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
| | - Chunfa Chen
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
- Correspondence to: Dr Chunfa Chen or Dr Jundong Wu, The Breast Center, Cancer Hospital of Shantou University Medical College, 7 Rao Ping Road, Shantou, Guangdong 515041, P.R. China
| | - Jundong Wu
- The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
- Department of Central Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
- Guangdong Provincial Key Laboratory for Breast Cancer Diagnosis and Treatment, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. China
- Correspondence to: Dr Chunfa Chen or Dr Jundong Wu, The Breast Center, Cancer Hospital of Shantou University Medical College, 7 Rao Ping Road, Shantou, Guangdong 515041, P.R. China
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Li N, Jiang Y, Lv T, Li G, Yang F. Immunofluorescence analysis of breast cancer biomarkers using antibody-conjugated microbeads embedded in a microfluidic-based liquid biopsy chip. Biosens Bioelectron 2022; 216:114598. [DOI: 10.1016/j.bios.2022.114598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 07/06/2022] [Accepted: 07/22/2022] [Indexed: 11/02/2022]
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Tcherkassova J, Prostyakova A, Tsurkan S, Ragoulin V, Boroda A, Sekacheva M. Diagnostic efficacy of the new prospective biomarker's combination CA 15-3 and CA-62 for early-stage breast cancer detection: Results of the blind prospective-retrospective clinical study. Cancer Biomark 2022; 35:57-69. [PMID: 35786648 DOI: 10.3233/cbm-210533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Combination of different cancer markers is often used for predicting tumor growth, for the response to cancer therapy, and for increase in the positive diagnosis ratio in the malignant tumors. OBJECTIVE Evaluation of the diagnostic efficacy of CA 15-3 and CA-62 cancer markers combination for early stages of breast cancer (BC) detection. METHODS This retrospective blind study was performed on 2 clinically validated Sets that included serum measurements of CA 15-3 ELISA and CLIA-CA-62 assays in 488 serum samples with TNM classification. A study included 300 BC patients (254 at Stages I and II, 20 with ductal carcinoma in situ (DCIS), and 26 Stages III and IV patients), 47 patients with breast benign diseases, and 141 healthy controls. RESULTS Sensitivity for DCIS & Stage I breast cancer detection was 75% at 100% Specificity (AUC = 0.895) using a following combination of two antigens: 10 < CA15-3 < 46 U/ml and CA-62 ⩾ 6300 U/ml, which allows eliminating false positive results. CONCLUSIONS The results obtained in a blind study demonstrate that a combination of CA15-3 with CA-62 yields 75% Sensitivity at 100% Specificity for DCIS and Stage I breast cancer detection, which has a potential to be integrated into existing screening programs.
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Affiliation(s)
| | - Anna Prostyakova
- Shemaykin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia
| | | | | | - Alexander Boroda
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow, Russia
| | - Marina Sekacheva
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow, Russia
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