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Lapitz A, Azkargorta M, Milkiewicz P, Olaizola P, Zhuravleva E, Grimsrud MM, Schramm C, Arbelaiz A, O'Rourke CJ, La Casta A, Milkiewicz M, Pastor T, Vesterhus M, Jimenez-Agüero R, Dill MT, Lamarca A, Valle JW, Macias RIR, Izquierdo-Sanchez L, Pérez Castaño Y, Caballero-Camino FJ, Riaño I, Krawczyk M, Ibarra C, Bustamante J, Nova-Camacho LM, Falcon-Perez JM, Elortza F, Perugorria MJ, Andersen JB, Bujanda L, Karlsen TH, Folseraas T, Rodrigues PM, Banales JM. Liquid biopsy-based protein biomarkers for risk prediction, early diagnosis, and prognostication of cholangiocarcinoma. J Hepatol 2023; 79:93-108. [PMID: 36868481 PMCID: PMC10292605 DOI: 10.1016/j.jhep.2023.02.027] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 02/09/2023] [Accepted: 02/15/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND & AIMS Cholangiocarcinoma (CCA), heterogeneous biliary tumours with dismal prognosis, lacks accurate early diagnostic methods especially important for individuals at high-risk (i.e. those with primary sclerosing cholangitis [PSC]). Here, we searched for protein biomarkers in serum extracellular vesicles (EVs). METHODS EVs from patients with isolated PSC (n = 45), concomitant PSC-CCA (n = 44), PSC who developed CCA during follow-up (PSC to CCA; n = 25), CCAs from non-PSC aetiology (n = 56), and hepatocellular carcinoma (n = 34) and healthy individuals (n = 56) were characterised by mass spectrometry. Diagnostic biomarkers for PSC-CCA, non-PSC CCA, or CCAs regardless of aetiology (Pan-CCAs) were defined and validated by ELISA. Their expression was evaluated in CCA tumours at a single-cell level. Prognostic EV biomarkers for CCA were investigated. RESULTS High-throughput proteomics of EVs identified diagnostic biomarkers for PSC-CCA, non-PSC CCA, or Pan-CCA, and for the differential diagnosis of intrahepatic CCA and hepatocellular carcinoma, which were cross-validated by ELISA using total serum. Machine learning-based algorithms disclosed CRP/FIBRINOGEN/FRIL for the diagnosis of PSC-CCA (local disease [LD]) vs. isolated PSC (AUC = 0.947; odds ratio [OR] =36.9) and, combined with carbohydrate antigen 19-9, overpowers carbohydrate antigen 19-9 alone. CRP/PIGR/VWF allowed the diagnosis of LD non-PSC CCAs vs. healthy individuals (AUC = 0.992; OR = 387.5). It is noteworthy that CRP/FRIL accurately diagnosed LD Pan-CCA (AUC = 0.941; OR = 89.4). Levels of CRP/FIBRINOGEN/FRIL/PIGR showed predictive capacity for CCA development in PSC before clinical evidence of malignancy. Multi-organ transcriptomic analysis revealed that serum EV biomarkers were mostly expressed in hepatobiliary tissues, and single-cell RNA sequencing and immunofluorescence analysis of CCA tumours showed their presence mainly in malignant cholangiocytes. Multivariable analysis unveiled EV prognostic biomarkers, with COMP/GNAI2/CFAI and ACTN1/MYCT1/PF4V associated negatively and positively with patients' survival, respectively. CONCLUSIONS Serum EVs contain protein biomarkers for the prediction, early diagnosis, and prognostication of CCA that are detectable using total serum, representing a tumour cell-derived liquid biopsy tool for personalised medicine. IMPACT AND IMPLICATIONS The accuracy of current imaging tests and circulating tumour biomarkers for cholangiocarcinoma (CCA) diagnosis is far from satisfactory. Most CCAs are considered sporadic, although up to 20% of patients with primary sclerosing cholangitis (PSC) develop CCA during their lifetime, constituting a major cause of PSC-related death. This international study has proposed protein-based and aetiology-related logistic models with predictive, diagnostic, or prognostic capacities by combining two to four circulating protein biomarkers, moving a step forward into personalised medicine. These novel liquid biopsy tools may allow the (i) easy and non-invasive diagnosis of sporadic CCAs, (ii) identification of patients with PSC with higher risk for CCA development, (iii) establishment of cost-effective surveillance programmes for the early detection of CCA in high-risk populations (e.g. PSC), and (iv) prognostic stratification of patients with CCA, which, altogether, may increase the number of cases eligible for potentially curative options or to receive more successful treatments, decreasing CCA-related mortality.
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Affiliation(s)
- Ainhoa Lapitz
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain
| | - Mikel Azkargorta
- Proteomics Platform, CIC BioGUNE, Basque Research and Technology Alliance (BRTA), ProteoRed ISCIII, Bizkaia Science and Technology Park, Derio, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd), ISCIII, Madrid, Spain
| | - Piotr Milkiewicz
- Liver and Internal Medicine Unit, Department of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland; Translational Medicine Group, Pomeranian Medical University, Szczecin, Poland
| | - Paula Olaizola
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd), ISCIII, Madrid, Spain
| | - Ekaterina Zhuravleva
- Biotech Research and Innovation Centre, Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marit M Grimsrud
- Norwegian PSC Research Center, Department of Transplantation Medicine, Division of Surgery, Inflammatory Medicine and Transplantation, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Christoph Schramm
- European Reference Network Hepatological Diseases (ERN RARE-LIVER), Hamburg, Germany; 1st Department of Internal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Martin Zeitz Centre for Rare Diseases, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Ander Arbelaiz
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain
| | - Colm J O'Rourke
- Biotech Research and Innovation Centre, Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Adelaida La Casta
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain
| | - Malgorzata Milkiewicz
- Department of Medical Biology, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Tania Pastor
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain
| | - Mette Vesterhus
- Norwegian PSC Research Center, Department of Transplantation Medicine, Division of Surgery, Inflammatory Medicine and Transplantation, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Raul Jimenez-Agüero
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain
| | - Michael T Dill
- Department of Gastroenterology, Infectious Diseases and Intoxication, Heidelberg University Hospital, Heidelberg, Germany; Experimental Hepatology, Inflammation and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Angela Lamarca
- Department of Medical Oncology, The Christie NHS Foundation Trust/Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Juan W Valle
- Department of Medical Oncology, The Christie NHS Foundation Trust/Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Rocio I R Macias
- National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd), ISCIII, Madrid, Spain; Experimental Hepatology and Drug Targeting (HEVEPHARM), University of Salamanca, Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
| | - Laura Izquierdo-Sanchez
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd), ISCIII, Madrid, Spain
| | - Ylenia Pérez Castaño
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain; Osakidetza Basque Health Service, Bidasoa IHO, Bidasoa Hospital, Department of Digestive System, Irun, Spain
| | - Francisco Javier Caballero-Camino
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain
| | - Ioana Riaño
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain; Clinical Research Unit, Spanish Clinical Research Network (SCReN) - ISCIII, Biodonostia Health Research Institute, San Sebastián, Spain
| | - Marcin Krawczyk
- Department of Medicine II, Saarland University Medical Centre, Saarland University, Homburg, Germany
| | - Cesar Ibarra
- Osakidetza Basque Health Service, Ezkerraldea-Enkarterri-Cruces IHO, Cruces University Hospital, Barakaldo, Spain
| | - Javier Bustamante
- Osakidetza Basque Health Service, Ezkerraldea-Enkarterri-Cruces IHO, Cruces University Hospital, Barakaldo, Spain
| | - Luiz M Nova-Camacho
- Osakidetza Basque Health Service, Donostialdea IHO, Donostia University Hospital, Department of Pathology, San Sebastian, Spain
| | - Juan M Falcon-Perez
- National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd), ISCIII, Madrid, Spain; Center for Cooperative Research in Biosciences (CIC BioGUNE), Basque Research and Technology Alliance (BRTA), Exosomes Laboratory, Derio, Spain; Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Felix Elortza
- Proteomics Platform, CIC BioGUNE, Basque Research and Technology Alliance (BRTA), ProteoRed ISCIII, Bizkaia Science and Technology Park, Derio, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd), ISCIII, Madrid, Spain
| | - Maria J Perugorria
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd), ISCIII, Madrid, Spain; Department of Medicine, Faculty of Medicine and Nursing, University of the Basque Country, UPV/EHU, Leioa, Spain
| | - Jesper B Andersen
- Biotech Research and Innovation Centre, Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Luis Bujanda
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd), ISCIII, Madrid, Spain; Department of Medicine, Faculty of Medicine and Nursing, University of the Basque Country, UPV/EHU, Leioa, Spain
| | - Tom H Karlsen
- Norwegian PSC Research Center, Department of Transplantation Medicine, Division of Surgery, Inflammatory Medicine and Transplantation, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Trine Folseraas
- Norwegian PSC Research Center, Department of Transplantation Medicine, Division of Surgery, Inflammatory Medicine and Transplantation, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Section of Gastroenterology, Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - Pedro M Rodrigues
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd), ISCIII, Madrid, Spain; Ikerbasque, Basque Foundation for Science, Bilbao, Spain.
| | - Jesus M Banales
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute - Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd), ISCIII, Madrid, Spain; Ikerbasque, Basque Foundation for Science, Bilbao, Spain; Department of Biochemistry and Genetics, School of Sciences, University of Navarra, Pamplona, Spain.
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Lin J, Zhuo Y, Zhang Y, Liu R, Zhong W. Molecular predictors of metastasis in patients with prostate cancer. Expert Rev Mol Diagn 2023; 23:199-215. [PMID: 36860119 DOI: 10.1080/14737159.2023.2187289] [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: 03/03/2023]
Abstract
INTRODUCTION Prostate cancer is a serious threat to the health of older adults worldwide. The quality of life and survival time of patients sharply decline once metastasis occurs. Thus, early screening for prostate cancer is very advanced in developed countries. The detection methods used include Prostate-specific antigen (PSA) detection and digital rectal examination. However, the lack of universal access to early screening in some developing countries has resulted in an increased number of patients presenting with metastatic prostate cancer. In addition, the treatment methods for metastatic and localized prostate cancer are considerably different. In many patients, early-stage prostate cancer cells often metastasize due to delayed observation, negative PSA results, and delay in treatment time. Therefore, the identification of patients who are prone to metastasis is important for future clinical studies. AREAS COVERED this review introduced a large number of predictive molecules related to prostate cancer metastasis. These molecules involve the mutation and regulation of tumor cell genes, changes in the tumor microenvironment, and the liquid biopsy. EXPERT OPINION In next decade, PSMA PET/CT and liquid biopsy will be the excellent predicting tools, while 177 Lu- PSMA-RLT will be showed excellent anti-tumor efficacy in mPCa patients.
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Affiliation(s)
- Jundong Lin
- Department of Urology, The Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Yangjia Zhuo
- Department of Urology, The Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Yixun Zhang
- Department of Urology, The Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Ren Liu
- Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Weide Zhong
- Department of Urology, The Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
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Li C, Xiao J, Wu S, Liu L, Zeng X, Zhao Q, Zhang Z. Clinical application of serum-based proteomics technology in human tumor research. Anal Biochem 2023; 663:115031. [PMID: 36580994 DOI: 10.1016/j.ab.2022.115031] [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: 10/28/2022] [Revised: 12/20/2022] [Accepted: 12/24/2022] [Indexed: 12/27/2022]
Abstract
The rapid development of proteomics technology in the past decades has led to further human understanding of tumor research, and in some ways, the technology plays a very important supporting role in the early detection of tumors. Human serum has been shown to contain a variety of proteins closely related to life activities, and the dynamic change in proteins can often reflect the physiological and pathological conditions of the body. Serum has the advantage of easy extraction, so the application of proteomics technology in serum has become a hot spot and frontier area for the study of malignant tumors. However, there are still many difficulties in the standardized use of proteomic technologies, which inevitably limit the clinical application of proteomic technologies due to the heterogeneity of human proteins leading to incomplete whole proteome populations, in addition to most serum protein markers being now not highly specific in aiding the early detection of tumors. Nevertheless, further development of proteomics technologies will greatly increase our understanding of tumor biology and help discover more new tumor biomarkers with specificity that will enable medical technology.
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Affiliation(s)
- Chen Li
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China
| | - Juan Xiao
- Department of Otorhinolaryngology, The Second Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China
| | - Shihua Wu
- Department of Pathology, The Second Hospital of Shaoyang College, Hunan, Shaoyang, 422000, Hunan Province, China
| | - Lu Liu
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China
| | - Xuemei Zeng
- Cancer Research Institute of Hengyang Medical College, University of South China, Key Laboratory of Cancer Cellular and Molecular Pathology in Hunan Province, Hunan, Hengyang, 421001, China
| | - Qiang Zhao
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China.
| | - Zhiwei Zhang
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China; Cancer Research Institute of Hengyang Medical College, University of South China, Key Laboratory of Cancer Cellular and Molecular Pathology in Hunan Province, Hunan, Hengyang, 421001, China.
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Zhang L, Li G, Zhang H, Liu H, Li S, Wang Y, Qi H. CXCL4L1 May Help Differentiate Benign from Malignant Pulmonary Lesions and Predicts Prognosis of Patients with Lung Cancer. Cancer Manag Res 2022; 14:1903-1910. [PMID: 35698601 PMCID: PMC9188318 DOI: 10.2147/cmar.s352217] [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: 12/02/2021] [Accepted: 03/24/2022] [Indexed: 12/24/2022] Open
Abstract
Background Lung cancer (LC) is the leading type of cancer worldwide, yet it’s challenging to detect early LC. Therefore, it is valuable to explore diagnostic biomarker that can distinguish malignant pulmonary lesions from benign diseases. The potential role of plate factor-4 variant (CXCL4L1) will be investigated in detecting early LC. Methods A consecutive of 174 patients with single pulmonary nodule and 50 healthy controls were enrolled. Serum CXCL4L1 expression level was evaluated using ELISA. Survival curves were generated to analyze survival outcomes. Receiver operating characteristic curves were used to calculate diagnostic accuracy. Results Serum CXCL4L1 was downregulated in patients with LC when compared with those with lung benign lesions (LBL) or healthy controls. Meanwhile, lower serum CXCL4L1 expression was associated with advanced TNM stage and lymph node metastasis. Furthermore, a low expression of CXCL4L1 resulted in worse survival outcomes in LC patients. Serum CXCL4L1 expression obtained an area under curve (AUC) of 0.81 (95% CI: 0.74–0.88), a sensitivity of 70.6%, and a specificity of 85.8% for discriminating patients with LC form patients with LBL. In addition, serum CXCL4L1 expression achieved an AUC of 0.82 (95% CI, 0.74–0.90), a sensitivity of 72.0%, and a specificity of 85.9% for distinguishing patients with LC form healthy controls. Conclusion This study suggests that CXCL4L1 may prove to be a potential non-invasive diagnostic and prognostic biomarker for early LC patients.
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Affiliation(s)
- Lei Zhang
- Department of Respiration, Tangshan Workers' Hospital, Tangshan, 063000, People's Republic of China
| | - Guangping Li
- Department of Clinical Laboratory, Tangshan Workers' Hospital, Tangshan, 063000, People's Republic of China
| | - Hongxin Zhang
- Department of Cardiology, Tangshan Workers' Hospital, Tangshan, 063000, People's Republic of China
| | - Huaqun Liu
- Department of Oncology, Tangshan Workers' Hospital, Tangshan, 063000, People's Republic of China
| | - Songlin Li
- Department of Respiration, Tangshan Workers' Hospital, Tangshan, 063000, People's Republic of China
| | - Yanan Wang
- Department of Oncology, Tangshan Workers' Hospital, Tangshan, 063000, People's Republic of China
| | - Huisheng Qi
- Department of Respiration, Tangshan Workers' Hospital, Tangshan, 063000, People's Republic of China
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