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Min L, Bu F, Meng J, Liu X, Guo Q, Zhao L, Li Z, Li X, Zhu S, Zhang S. Circulating small extracellular vesicle RNA profiling for the detection of T1a stage colorectal cancer and precancerous advanced adenoma. eLife 2024; 12:RP88675. [PMID: 39121006 PMCID: PMC11315448 DOI: 10.7554/elife.88675] [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] [Indexed: 08/11/2024] Open
Abstract
It takes more than 20 years for normal colorectal mucosa to develop into metastatic carcinoma. The long time window provides a golden opportunity for early detection to terminate the malignant progression. Here, we aim to enable liquid biopsy of T1a stage colorectal cancer (CRC) and precancerous advanced adenoma (AA) by profiling circulating small extracellular vesicle (sEV)-derived RNAs. We exhibited a full RNA landscape for the circulating sEVs isolated from 60 participants. A total of 58,333 annotated RNAs were detected from plasma sEVs, among which 1,615 and 888 sEV-RNAs were found differentially expressed in plasma from T1a stage CRC and AA compared to normal controls (NC). Then we further categorized these sEV-RNAs into six modules by a weighted gene coexpression network analysis and constructed a 60-gene t-SNE model consisting of the top 10 RNAs of each module that could well distinguish T1a stage CRC/AA from NC samples. Some sEV-RNAs were also identified as indicators of specific endoscopic and morphological features of different colorectal lesions. The top-ranked biomarkers were further verified by RT-qPCR, proving that these candidate sEV-RNAs successfully identified T1a stage CRC/AA from NC in another cohort of 124 participants. Finally, we adopted different algorithms to improve the performance of RT-qPCR-based models and successfully constructed an optimized classifier with 79.3% specificity and 99.0% sensitivity. In conclusion, circulating sEVs of T1a stage CRC and AA patients have distinct RNA profiles, which successfully enable the detection of both T1a stage CRC and AA via liquid biopsy.
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Affiliation(s)
- Li Min
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, State Key Laboratory of Digestive Health, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive DiseaseBeijingChina
- Key Laboratory of Bio-inspired Materials and Interfacial Science, Technical Institute of Physics and Chemistry, Chinese Academy of SciencesBeijingChina
| | - Fanqin Bu
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, State Key Laboratory of Digestive Health, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive DiseaseBeijingChina
| | - Jingxin Meng
- Key Laboratory of Bio-inspired Materials and Interfacial Science, Technical Institute of Physics and Chemistry, Chinese Academy of SciencesBeijingChina
| | | | - Qingdong Guo
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, State Key Laboratory of Digestive Health, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive DiseaseBeijingChina
| | | | - Zhi Li
- Echo Biotech Co., LtdBeijingChina
| | - Xiangji Li
- Department of Retroperitoneal Tumor Surgery, International Hospital, Peking UniversityBeijingChina
| | - Shengtao Zhu
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, State Key Laboratory of Digestive Health, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive DiseaseBeijingChina
| | - Shutian Zhang
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, State Key Laboratory of Digestive Health, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive DiseaseBeijingChina
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Liu K, Xu X, Sun L, Li H, Jin Y, Ma X, Shen B, Martin C. Proteomics profiling reveals lipid metabolism abnormalities during oogenesis in unexplained recurrent pregnancy loss. Front Immunol 2024; 15:1397633. [PMID: 39176081 PMCID: PMC11339622 DOI: 10.3389/fimmu.2024.1397633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 07/15/2024] [Indexed: 08/24/2024] Open
Abstract
Background Unexplained recurrent pregnancy loss (URPL) is a clinical dilemma in reproductive fields. Its diagnosis is mainly exclusionary after extensive clinical examination, and some of the patients may still face the risk of miscarriage. Methods We analyzed follicular fluid (FF) from in vitro fertilization (IVF) in eight patients with URPL without endocrine abnormalities or verifiable causes of abortion and eight secondary infertility controls with no history of pregnancy loss who had experienced at least one normal pregnancy and delivery by direct data-independent acquisition (dDIA) quantitative proteomics to identify differentially expressed proteins (DEPs). In this study, bioinformatics analysis was performed using online software including g:profiler, String, and ToppGene. Cytoscape was used to construct the protein-protein interaction (PPI) network, and ELISA was used for validation. Results Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that the DEPs are involved in the biological processes (BP) of complement and coagulation cascades. Apolipoproteins (APOs) are key proteins in the PPI network. ELISA confirmed that APOB was low-expressed in both the FF and peripheral blood of URPL patients. Conclusion Dysregulation of the immune network intersecting coagulation and inflammatory response is an essential feature of URPL, and this disequilibrium exists as early as the oogenesis stage. Therefore, earlier intervention is necessary to prevent the development of URPL. Moreover, aberrant lipoprotein regulation appears to be a key factor contributing to URPL. The mechanism by which these factors are involved in the complement and coagulation cascade pathways remains to be further investigated, which also provides new candidate targets for URPL treatment.
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Affiliation(s)
- Kun Liu
- Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
- Biochemistry and Molecular Biology Department of University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Xiaojuan Xu
- Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Liang Sun
- Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Hongxing Li
- Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Yi Jin
- Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Xiaoling Ma
- Reproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Bairong Shen
- Institutes for Systems Genetics, West China Hospital Sichuan University, Chengdu, China
| | - Cesar Martin
- Biochemistry and Molecular Biology Department of University of the Basque Country (UPV/EHU), Leioa, Spain
- Department of Molecular Biophysics, Biofisika Institute (UPV/EHU, CSIC), Leioa, Spain
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3
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Shen S, Wang C, Gu J, Song F, Wu X, Qian F, Chen X, Wang L, Peng Q, Xing Z, Gu L, Wang F, Cheng X. A Predictive Model for Initial Platinum-Based Chemotherapy Efficacy in Patients with Postoperative Epithelial Ovarian Cancer Using Tissue-Derived Small Extracellular Vesicles. J Extracell Vesicles 2024; 13:e12486. [PMID: 39104279 DOI: 10.1002/jev2.12486] [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: 01/14/2024] [Revised: 06/02/2024] [Accepted: 07/01/2024] [Indexed: 08/07/2024] Open
Abstract
Epithelial ovarian cancer (EOC) is an often-fatal malignancy marked by the development of resistance to platinum-based chemotherapy. Thus, accurate prediction of platinum drug efficacy is crucial for strategically selecting postoperative interventions to mitigate the risks associated with suboptimal therapeutic outcomes and adverse effects. Tissue-derived extracellular vesicles (tsEVs), in contrast to their plasma counterparts, have emerged as a powerful tool for examining distinctive attributes of EOC tissues. In this study, 4D data-independent acquisition (DIA) proteomic sequencing was performed on tsEVs obtained from 58 platinum-sensitive and 30 platinum-resistant patients with EOC. The analysis revealed a notable enrichment of differentially expressed proteins that were predominantly associated with immune-related pathways. Moreover, pivotal immune-related proteins (IRPs) were identified by LASSO regression. These factors, combined with clinical parameters selected through univariate logistic regression, were used for the construction of a model employing multivariate logistic regression. This model integrated three tsEV IRPs, CCR1, IGHV_35 and CD72, with one clinical parameter, the presence of postoperative residual lesions. Thus, this model could predict the efficacy of initial platinum-based chemotherapy in patients with EOC post-surgery, providing prognostic insights even before the initiation of chemotherapy.
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Affiliation(s)
- Shizhen Shen
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Gynecologic Oncology, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - Conghui Wang
- Department of Gynecologic Oncology, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jiaxin Gu
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Feifei Song
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiaodong Wu
- Department of Gynecologic Oncology, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - Fangfang Qian
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiaojing Chen
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lingfang Wang
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Qiaohua Peng
- Department of Gynecologic Oncology, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - Ziyu Xing
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lingkai Gu
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Fenfen Wang
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Gynecologic Oncology, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaodong Cheng
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Gynecologic Oncology, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, Zhejiang, China
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De Giorgis V, Barberis E, Manfredi M. Extracellular vesicles proteins for early cancer diagnosis: From omics to biomarkers. Semin Cancer Biol 2024; 104-105:18-31. [PMID: 39074601 DOI: 10.1016/j.semcancer.2024.07.003] [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: 04/25/2024] [Revised: 07/23/2024] [Accepted: 07/24/2024] [Indexed: 07/31/2024]
Abstract
Extracellular vesicles (EVs) are a promising source of early biomarkers for cancer diagnosis. They are enriched with diverse molecular content, such as proteins, DNA, mRNA, miRNA, lipids, and metabolites. EV proteins have been widely investigated as potential biomarkers since they reflect specific patient conditions. However, although many markers have been validated and confirmed using external cohorts of patients and different analytical approaches, no EV protein markers are approved for diagnostic use. This review presents the primary strategies adopted using mass spectrometry and immune-based techniques to identify and validate EV protein biomarkers. We report and discuss recent scientific research focusing on cancer biomarker discovery through EVs, emphasizing their significant potential for the tempestive diagnosis of several cancer typologies. Finally, recent advancements in the standardization of EV isolation and quantitation through the development of easy-to-use and high-throughput kits for sample preparation-that should make protein EV biomarkers more reliable and accessible-are presented. The data reported here showed that there are still several challenges to be addressed before a protein vesicle marker becomes an essential tool in diagnosing cancer.
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Affiliation(s)
- Veronica De Giorgis
- Department of Translational Medicine, University of Piemonte Orientale, via Solaroli 17, Novara 28100, Italy; CAAD, Centre for Translational Research on Autoimmune and Allergic Diseases, Corso Trieste 15/A, Novara 28100, Italy
| | - Elettra Barberis
- CAAD, Centre for Translational Research on Autoimmune and Allergic Diseases, Corso Trieste 15/A, Novara 28100, Italy; Department of Sciences and Technological Innovation, University of Piemonte Orientale, viale T. Michel 11, Alessandria 15121, Italy
| | - Marcello Manfredi
- Department of Translational Medicine, University of Piemonte Orientale, via Solaroli 17, Novara 28100, Italy; CAAD, Centre for Translational Research on Autoimmune and Allergic Diseases, Corso Trieste 15/A, Novara 28100, Italy.
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Pang B, Wang Q, Chen H, Liu Z, Han M, Gong J, Yue L, Ding X, Wang S, Yan Z, Chen Y, Malouf D, Bucci J, Guo T, Zhou C, Jiang J, Li Y. Proteomic Identification of Small Extracellular Vesicle Proteins LAMB1 and Histone H4 for Prostate Cancer Diagnosis and Risk Stratification. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2402509. [PMID: 38590132 PMCID: PMC11187897 DOI: 10.1002/advs.202402509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Indexed: 04/10/2024]
Abstract
Diagnosis and stratification of prostate cancer (PCa) patients using the prostate-specific antigen (PSA) test is challenging. Extracellular vesicles (EVs), as a new star of liquid biopsy, has attracted interest to complement inaccurate PSA screening and invasiveness of tissue biopsy. In this study, a panel of potential small EV (sEV) protein biomarkers is identified from PCa cell lines using label-free LC-MS/MS proteomics. These biomarkers underwent further validation with plasma and urine samples from different PCa stages through parallel reaction monitoring-based targeted proteomics, western blotting, and ELISA. Additionally, a tissue microarray containing cancerous and noncancerous tissues is screened to provide additional evidence of selected sEV proteins associated with cancer origin. Results indicate that sEV protein LAMB1 is highly expressed in human plasma of metastatic PCa patients compared with localised PCa patients and control subjects, while sEV protein Histone H4 is highly expressed in human urine of high-risk PCa patients compared to low-risk PCa patients and control subjects. These two sEV proteins demonstrate higher specificity and sensitivity than the PSA test and show promise for metastatic PCa diagnosis, progression monitoring, and risk stratification.
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Affiliation(s)
- Bairen Pang
- Department of UrologyThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Ningbo Clinical Research Centre for Urological DiseaseThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Translational Research Laboratory for UrologyThe Key Laboratory of NingboThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Zhejiang Engineering Research Center of Innovative technologies and diagnostic and therapeutic equipment for urinary system diseasesNingboZhejiang315010China
| | - Qi Wang
- Cancer Care CentreSt George HospitalKogarahNSW2217Australia
- St. George and Sutherland Clinical CampusesSchool of Clinical MedicineUNSW SydneyKensingtonNSW2052Australia
| | - Haotian Chen
- Department of UrologyThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Ningbo Clinical Research Centre for Urological DiseaseThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Health Science CentreNingbo UniversityNingboZhejiang315211China
| | - Zhihan Liu
- Department of UrologyThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Ningbo Clinical Research Centre for Urological DiseaseThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Health Science CentreNingbo UniversityNingboZhejiang315211China
| | - Meng Han
- Department of UrologyThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Ningbo Clinical Research Centre for Urological DiseaseThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Translational Research Laboratory for UrologyThe Key Laboratory of NingboThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Zhejiang Engineering Research Center of Innovative technologies and diagnostic and therapeutic equipment for urinary system diseasesNingboZhejiang315010China
| | - Jie Gong
- Department of UrologyThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Ningbo Clinical Research Centre for Urological DiseaseThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Translational Research Laboratory for UrologyThe Key Laboratory of NingboThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
| | - Liang Yue
- Westlake Centre for Intelligent ProteomicsWestlake Laboratory of Life Sciences and BiomedicineHangzhouZhejiang310030China
- Key Laboratory of Structural Biology of Zhejiang ProvinceSchool of Life SciencesWestlake UniversityHangzhouZhejiang310030China
| | - Xuan Ding
- Westlake Centre for Intelligent ProteomicsWestlake Laboratory of Life Sciences and BiomedicineHangzhouZhejiang310030China
- Key Laboratory of Structural Biology of Zhejiang ProvinceSchool of Life SciencesWestlake UniversityHangzhouZhejiang310030China
| | - Suying Wang
- Department of PathologyNingbo Diagnostic Pathology CentreNingboZhejiang315021China
| | - Zejun Yan
- Department of UrologyThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
| | - Yingzhi Chen
- Department of UrologyThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
| | - David Malouf
- Department of UrologySt George HospitalKogarahNSW2217Australia
| | - Joseph Bucci
- Cancer Care CentreSt George HospitalKogarahNSW2217Australia
- St. George and Sutherland Clinical CampusesSchool of Clinical MedicineUNSW SydneyKensingtonNSW2052Australia
| | - Tiannan Guo
- Westlake Centre for Intelligent ProteomicsWestlake Laboratory of Life Sciences and BiomedicineHangzhouZhejiang310030China
- Key Laboratory of Structural Biology of Zhejiang ProvinceSchool of Life SciencesWestlake UniversityHangzhouZhejiang310030China
| | - Cheng Zhou
- Department of UrologyThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Ningbo Clinical Research Centre for Urological DiseaseThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Translational Research Laboratory for UrologyThe Key Laboratory of NingboThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Zhejiang Engineering Research Center of Innovative technologies and diagnostic and therapeutic equipment for urinary system diseasesNingboZhejiang315010China
| | - Junhui Jiang
- Department of UrologyThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Ningbo Clinical Research Centre for Urological DiseaseThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Translational Research Laboratory for UrologyThe Key Laboratory of NingboThe First Affiliated Hospital of Ningbo UniversityNingboZhejiang315010China
- Zhejiang Engineering Research Center of Innovative technologies and diagnostic and therapeutic equipment for urinary system diseasesNingboZhejiang315010China
| | - Yong Li
- Cancer Care CentreSt George HospitalKogarahNSW2217Australia
- St. George and Sutherland Clinical CampusesSchool of Clinical MedicineUNSW SydneyKensingtonNSW2052Australia
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Feliu J, Gámez-Pozo A, Martínez-Pérez D, Pérez-Wert P, Matamala-Luengo D, Viñal D, Kunz L, López-Vacas R, Dittmann A, Rodríguez-Salas N, Custodio A, Fresno Vara JÁ, Trilla-Fuertes L. Functional proteomics of colon cancer Consensus Molecular Subtypes. Br J Cancer 2024; 130:1670-1678. [PMID: 38486123 DOI: 10.1038/s41416-024-02650-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 02/26/2024] [Accepted: 03/01/2024] [Indexed: 05/15/2024] Open
Abstract
BACKGROUND The Colorectal Cancer Subtyping Consortium established four Consensus Molecular Subtypes (CMS) in colorectal cancer: CMS1 (microsatellite-instability [MSI], Immune), CMS2 (Canonical, epithelial), CMS3 (Metabolic), and CMS4 (Mesenchymal). However, only MSI tumour patients have seen a change in their disease management in clinical practice. This study aims to characterise the proteome of colon cancer CMS and broaden CMS's clinical utility. METHODS One-hundred fifty-eight paraffin samples from stage II-III colon cancer patients treated with adjuvant chemotherapy were analysed through DIA-based mass-spectrometry proteomics. RESULTS CMS1 exhibited overexpression of immune-related proteins, specifically related to neutrophils, phagocytosis, antimicrobial response, and a glycolytic profile. These findings suggested potential therapeutic strategies involving immunotherapy and glycolytic inhibitors. CMS3 showed overexpression of metabolic proteins. CMS2 displayed a heterogeneous protein profile. Notably, two proteomics subtypes within CMS2, with different protein characteristics and prognoses, were identified. CMS4 emerged as the most distinct group, featuring overexpression of proteins related to angiogenesis, extracellular matrix, focal adhesion, and complement activation. CMS4 showed a high metastatic profile and suggested possible chemoresistance that may explain its worse prognosis. CONCLUSIONS DIA proteomics revealed new features for each colon cancer CMS subtype. These findings provide valuable insights into potential therapeutic targets for colorectal cancer subtypes in the future.
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Affiliation(s)
- Jaime Feliu
- Medical Oncology Department, La Paz University Hospital, Paseo de la Castellana 261, 28046, Madrid, Spain.
- Cátedra UAM-Amgen, Universidad Autónoma de Madrid, Madrid, Spain.
- Biomedical Research Networking Center on Oncology-CIBERONC, ISCIII, Madrid, Spain.
| | - Angelo Gámez-Pozo
- Molecular Oncology Lab, La Paz University Hospital-IdiPAZ, Madrid, Spain
| | - Daniel Martínez-Pérez
- Medical Oncology Department, La Paz University Hospital, Paseo de la Castellana 261, 28046, Madrid, Spain
| | - Pablo Pérez-Wert
- Medical Oncology Department, La Paz University Hospital, Paseo de la Castellana 261, 28046, Madrid, Spain
| | | | - David Viñal
- Medical Oncology Department, La Paz University Hospital, Paseo de la Castellana 261, 28046, Madrid, Spain
| | - Laura Kunz
- Functional Genomics Center Zurich, Zurich, Switzerland
| | - Rocío López-Vacas
- Molecular Oncology Lab, La Paz University Hospital-IdiPAZ, Madrid, Spain
| | | | - Nuria Rodríguez-Salas
- Medical Oncology Department, La Paz University Hospital, Paseo de la Castellana 261, 28046, Madrid, Spain
| | - Ana Custodio
- Medical Oncology Department, La Paz University Hospital, Paseo de la Castellana 261, 28046, Madrid, Spain
| | - Juan Ángel Fresno Vara
- Biomedical Research Networking Center on Oncology-CIBERONC, ISCIII, Madrid, Spain
- Molecular Oncology Lab, La Paz University Hospital-IdiPAZ, Madrid, Spain
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Fan Z, Hu Y, Chen L, Lu X, Zheng L, Ma D, Li Z, Zhong J, Lin L, Zhang S, Zhang G. Multiplatform tear proteomic profiling reveals novel non-invasive biomarkers for diabetic retinopathy. Eye (Lond) 2024; 38:1509-1517. [PMID: 38336992 PMCID: PMC11126564 DOI: 10.1038/s41433-024-02938-0] [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: 02/27/2023] [Revised: 12/19/2023] [Accepted: 01/16/2024] [Indexed: 02/12/2024] Open
Abstract
OBJECTIVES To investigate a comprehensive proteomic profile of the tear fluid in patients with diabetic retinopathy (DR) and further define non-invasive biomarkers. METHODS A cross-sectional, multicentre study that includes 46 patients with DR, 28 patients with diabetes mellitus (DM), and 30 healthy controls (HC). Tear samples were collected with Schirmer strips. As for the discovery set, data-independent acquisition mass spectrometry was used to characterize the tear proteomic profile. Differentially expressed proteins between groups were identified, with gene ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis further developed. Classifying performance of biomarkers for distinguishing DR from DM was compared by the combination of three machine-learning algorithms. The selected biomarker panel was tested in the validation cohort using parallel reaction monitoring mass spectrometry. RESULTS Among 3364 proteins quantified, 235 and 88 differentially expressed proteins were identified for DR when compared to HC and DM, respectively, which were fundamentally related to retina homeostasis, inflammation and immunity, oxidative stress, angiogenesis and coagulation, metabolism, and cellular adhesion processes. The biomarker panel consisting of NAD-dependent protein deacetylase sirtuin-2 (SIR2), amine oxidase [flavin-containing] B (AOFB), and U8 snoRNA-decapping enzyme (NUD16) exhibited the best diagnostic performance in discriminating DR from DM, with AUCs of 0.933 and 0.881 in the discovery and validation set, respectively. CONCLUSIONS Tear protein dysregulation is comprehensively revealed to be associated with DR onset. The combination of tear SIR2, AOFB, and NUD16 can be a novel potential approach for non-invasive detection or pre-screening of DR. CLINICAL TRIAL REGISTRATION Chinese Clinical Trial Registry Identifier: ChiCTR2100054263. https://www.chictr.org.cn/showproj.html?proj=143177 . Date of registration: 2021/12/12.
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Affiliation(s)
- Zixin Fan
- Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China
- International Graduate School at Shenzhen, Tsinghua University, Shenzhen, Guangdong, 518040, China
| | - Yarou Hu
- Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China
| | - Laijiao Chen
- Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China
| | - Xiaofeng Lu
- Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China
| | - Lei Zheng
- Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China
| | - Dahui Ma
- Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China
| | - Zhiqiang Li
- Shenmei Eye Hospital, Meizhou, Guangdong, 514000, China
| | - Jingwen Zhong
- Shenmei Eye Hospital, Meizhou, Guangdong, 514000, China
| | - Lin Lin
- Southern University of Science and Technology, Shenzhen, Guangdong, 518040, China
| | - Sifan Zhang
- New York University, New York, NY 10003, USA
| | - Guoming Zhang
- Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China.
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8
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Shi X, Zhao X, Xue J, Jia E. Extracellular vesicle biomarkers in circulation for colorectal cancer detection: a systematic review and meta-analysis. BMC Cancer 2024; 24:623. [PMID: 38778252 PMCID: PMC11110411 DOI: 10.1186/s12885-024-12312-8] [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: 09/06/2023] [Accepted: 04/25/2024] [Indexed: 05/25/2024] Open
Abstract
We provided an overview which evaluated the diagnostic performance of circulation EV biomarkers for CRC from PubMed, Medline, and Web of Science until 21 August 2022.Weidentified 48 studies that involved 7727 participants and evaluated 162 plasma/serum individual EV biomarkers including 117 RNAs and 45 proteins, as well as 45 EV biomarker panels for CRC detection. 12 studies evaluated the diagnostic performance of EV biomarkers for early CRC. The summarized sensitivity, specificity, and AUC value of individual EV RNAs and EV RNA panels were 76%, 75%, 0.87 and 82%, 79% and 0.90, respectively. Meanwhile, those of individual EV proteins and EV protein panels were 85%, 84%, 0.92 and 87%, 83%, 0.92, respectively. These results indicated that EV biomarker panels revealed superior diagnostic performance than the corresponding individual biomarkers. In early CRC, EV biomarkers showed available diagnostic value with the sensitivity, specificity, and AUC value of 80%, 75%, and 0.89.In subgroup analyses, EV miRNAs and LncRNAs held similar diagnostic value with the sensitivity, specificity and AUC value of 75%, 78%, 0.90 and 79%, 72%, 0.83, which was highly consistent with the whole EV RNAs. Significantly, the diagnostic values of EV miRNAs in plasma were marginally higher than those based on serum. In detail, the sensitivity, specificity, and AUC values were 79%, 81%, and 0.92 in plasma, as well as 74%, 77%, and 0.88 in serum, respectively. Therefore, circulation EV biomarkers could be considered as a promising biomarker for the early detection of CRC.
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Affiliation(s)
- Xianquan Shi
- Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xinyu Zhao
- Clinical Epidemiology & EBM Unit, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Jinru Xue
- Department of Thoracic Surgery, China-Japan Union Hospital of Jilin University, Changchun, China.
| | - Erna Jia
- Department of Gastroenterology, China-Japan Union Hospital of Jilin University, Changchun, China.
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9
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Wang C, Feng G, Zhao J, Xu Y, Li Y, Wang L, Wang M, Liu M, Wang Y, Mu H, Zhou C. Screening of novel biomarkers for acute kidney transplant rejection using DIA-MS based proteomics. Proteomics Clin Appl 2024; 18:e2300047. [PMID: 38215274 DOI: 10.1002/prca.202300047] [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: 04/27/2023] [Revised: 11/03/2023] [Accepted: 11/22/2023] [Indexed: 01/14/2024]
Abstract
BACKGROUND Kidney transplantation is the preferred treatment for patients with end-stage renal disease. However, acute rejection poses a threat to the graft long-term survival. The aim of this study was to identify novel biomarkers to detect acute kidney transplant rejection. METHODS The serum proteomic profiling of kidney transplant patients with T cell-mediated acute rejection (TCMR) and stable allograft function (STA) was analyzed using data-independent acquisition mass spectrometry (DIA-MS). The differentially expressed proteins (DEPs) of interest were further verified by enzyme-linked immunosorbent assay (ELISA). RESULTS A total of 131 DEPs were identified between STA and TCMR patients, 114 DEPs were identified between mild and severe TCMR patients. The verification results showed that remarkable higher concentrations of serum amyloid A protein 1 (SAA1) and insulin like growth factor binding protein 2 (IGFBP2), and lower fetuin-A (AHSG) concentration were found in TCMR patients when compared with STA patients. We also found higher SAA1 concentration in severe TCMR group when compared with mild TCMR group. The receiver operating characteristics (ROC) analysis further confirmed that combination of SAA1, AHSG, and IGFBP2 had excellent performance in the acute rejection diagnosis. CONCLUSIONS Our data demonstrated that serum SAA1, AHSG, and IGFBP2 could be effective biomarkers for diagnosing acute rejection after kidney transplantation. DIA-MS has great potential in biomarker screening of kidney transplantation.
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Affiliation(s)
- Ce Wang
- Department of Clinical Laboratory, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Gang Feng
- Department of Kidney Transplant, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Jie Zhao
- Department of Kidney Transplant, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Yang Xu
- Department of Kidney Transplant, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Yang Li
- Department of Clinical Laboratory, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Lin Wang
- Department of Clinical Laboratory, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Meng Wang
- Department of Clinical Laboratory, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Miao Liu
- The First Central Clinical School, Tianjin Medical University, Tianjin, China
| | - Yilin Wang
- The First Central Clinical School, Tianjin Medical University, Tianjin, China
| | - Hong Mu
- Department of Clinical Laboratory, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Chunlei Zhou
- Department of Clinical Laboratory, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
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10
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Hu E, Yang T, Cai L, Ouyang J, Wang F, Li Z, Wang Y, Xing X, Liu X. Proteomic Analysis Identifies GSN as a Noninvasive Circulating Serum Biomarker for Predicting Early Recurrence of Hepatocellular Carcinoma. J Proteome Res 2024; 23:1062-1074. [PMID: 38373391 DOI: 10.1021/acs.jproteome.3c00813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Hepatocellular carcinoma (HCC) is susceptible to early recurrence, but it lacks effective predictive biomarkers. In this study, we retrospectively selected 179 individuals as a discovery cohort (126 HCC patients and 53 liver cirrhosis (LC) patients) for screening candidate serum biomarkers of early recurrence based on data independent acquisition-mass spectrometry strategy. And then, the candidate biomarkers were validated in an additional independent cohort with 192 individuals (142 HCC patients and 50 LC patients) using parallel reaction monitoring targeted quantitative techniques (PXD047852). Eventually, we validated that gelsolin (GSN) concentrations were significantly lower in HCC than in LC (p < 0.0001), patients with low GSN concentrations had a poor prognosis (p < 0.0001), and GSN concentrations were significantly lower in early recurrence HCC than in late recurrence HCC (p < 0.0001). These trends were also observed in alpha-fetoprotein (AFP)-negative HCC patients. The area under the curve of machine-learning-based predictive model (GSN and microvascular invasion) for predicting early recurrence risk reached 0.803 (95% confidence interval (CI): 0.786-0.820) and maintained the same efficacy in AFP-negative patients. In conclusion, GSN is a novel serum biomarker for early recurrence of HCC. The model could provide timely warning to HCC patients at high risk of recurrence.
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Affiliation(s)
- En Hu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Tao Yang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Linsheng Cai
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Jiahe Ouyang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Fei Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Zongman Li
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Yingchao Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Xiaohua Xing
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
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11
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Tian W, Shi D, Zhang Y, Wang H, Tang H, Han Z, Wong CCL, Cui L, Zheng J, Chen Y. Deep proteomic analysis of obstetric antiphospholipid syndrome by DIA-MS of extracellular vesicle enriched fractions. Commun Biol 2024; 7:99. [PMID: 38225453 PMCID: PMC10789860 DOI: 10.1038/s42003-024-05789-3] [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: 06/13/2023] [Accepted: 01/03/2024] [Indexed: 01/17/2024] Open
Abstract
Proteins in the plasma/serum mirror an individual's physiology. Circulating extracellular vesicles (EVs) proteins constitute a large portion of the plasma/serum proteome. Thus, deep and unbiased proteomic analysis of circulating plasma/serum extracellular vesicles holds promise for discovering disease biomarkers as well as revealing disease mechanisms. We established a workflow for simple, deep, and reproducible proteome analysis of both serum large and small EVs enriched fractions by ultracentrifugation plus 4D-data-independent acquisition mass spectrometry (4D-DIA-MS). In our cohort study of obstetric antiphospholipid syndrome (OAPS), 4270 and 3328 proteins were identified from large and small EVs enriched fractions respectively. Both of them revealed known or new pathways related to OAPS. Increased levels of von Willebrand factor (VWF) and insulin receptor (INSR) were identified as candidate biomarkers, which shed light on hypercoagulability and abnormal insulin signaling in disease progression. Our workflow will significantly promote our understanding of plasma/serum-based disease mechanisms and generate new biomarkers.
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Affiliation(s)
- Wenmin Tian
- Department of Biochemistry and Biophysics, Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Dongxue Shi
- Department of Biochemistry and Biophysics, Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Yinmei Zhang
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing, P R China
| | - Hongli Wang
- Department of Biochemistry and Biophysics, Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Haohao Tang
- Department of Biochemistry and Biophysics, Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Zhongyu Han
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing, P R China
| | - Catherine C L Wong
- Department of Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, 100730, Beijing, China
- Tsinghua University-Peking University Joint Center for Life Sciences, Peking University, 100084, Beijing, China
| | - Liyan Cui
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing, P R China.
| | - Jiajia Zheng
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing, P R China.
| | - Yang Chen
- Department of Biochemistry and Biophysics, Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
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12
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Abhange K, Kitata RB, Zhang J, Wang YT, Gaffrey MJ, Liu T, Gunchick V, Khaykin V, Sahai V, Cuneo KC, Parikh ND, Shi T, Lubman DM. In-Depth Proteome Profiling of Small Extracellular Vesicles Isolated from Cancer Cell Lines and Patient Serum. J Proteome Res 2024; 23:386-396. [PMID: 38113368 PMCID: PMC10947532 DOI: 10.1021/acs.jproteome.3c00614] [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] [Indexed: 12/21/2023]
Abstract
Extracellular vesicle (EV) secretion has been observed in many types of both normal and tumor cells. EVs contain a variety of distinctive cargoes, allowing tumor-derived serum proteins in EVs to act as a minimally invasive method for clinical monitoring. We have undertaken a comprehensive study of the protein content of the EVs from several cancer cell lines using direct data-independent analysis. Several thousand proteins were detected, including many classic EV markers such as CD9, CD81, CD63, TSG101, and Syndecan-1, among others. We detected many distinctive cancer-specific proteins, including several known markers used in cancer detection and monitoring. We further studied the protein content of EVs from patient serum for both normal controls and pancreatic cancer and hepatocellular carcinoma. The EVs for these studies have been isolated by various methods for comparison, including ultracentrifugation and CD9 immunoaffinity column. Typically, 500-1000 proteins were identified, where most of them overlapped with the EV proteins identified from the cell lines studied. We were able to identify many of the cell-line EV protein markers in the serum EVs, in addition to the large numbers of proteins specific to pancreatic and HCC cancers.
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Affiliation(s)
- Komal Abhange
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Reta Birhanu Kitata
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Jie Zhang
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
| | - Yi-Ting Wang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Matthew J Gaffrey
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Valerie Gunchick
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Valerie Khaykin
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Vaibhav Sahai
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Kyle C Cuneo
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Neehar D Parikh
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Tujin Shi
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - David M Lubman
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States
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13
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Sosa-Acosta P, Nogueira FCS, Domont GB. Proteomics and Metabolomics in Congenital Zika Syndrome: A Review of Molecular Insights and Biomarker Discovery. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1443:63-85. [PMID: 38409416 DOI: 10.1007/978-3-031-50624-6_4] [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
Zika virus (ZIKV) infection can be transmitted vertically, leading to the development of congenital Zika syndrome (CZS) in infected fetuses. During the early stages of gestation, the fetuses face an elevated risk of developing CZS. However, it is important to note that late-stage infections can also result in adverse outcomes. The differences between CZS and non-CZS phenotypes remain poorly understood. In this review, we provide a summary of the molecular mechanisms underlying ZIKV infection and placental and blood-brain barriers trespassing. Also, we have included molecular alterations that elucidate the progression of CZS by proteomics and metabolomics studies. Lastly, this review comprises investigations into body fluid samples, which have aided to identify potential biomarkers associated with CZS.
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Affiliation(s)
- Patricia Sosa-Acosta
- Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratory of Proteomics (LabProt), LADETEC, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Precision Medicine Research Center, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Fábio C S Nogueira
- Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
- Laboratory of Proteomics (LabProt), LADETEC, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
- Precision Medicine Research Center, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
| | - Gilberto B Domont
- Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
- Precision Medicine Research Center, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
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14
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Li Y, Wang B, Ma F, Jiang D, Wang Y, Li K, Tan S, Feng J, Wang Y, Qin Z, Xu G, Tian S, Zhang X, Xu C, Wu J, Xu J, Hou Y, Ding C. Proteomic characterization of the colorectal cancer response to chemoradiation and targeted therapies reveals potential therapeutic strategies. Cell Rep Med 2023; 4:101311. [PMID: 38086380 PMCID: PMC10772406 DOI: 10.1016/j.xcrm.2023.101311] [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: 02/13/2023] [Revised: 09/15/2023] [Accepted: 11/13/2023] [Indexed: 12/22/2023]
Abstract
Chemoradiation and targeted therapies are the major treatments for colorectal cancer (CRC); however, molecular properties associated with therapy resistance are incompletely characterized. Here, we profile the proteome of 254 tumor tissues from patients with CRC undergoing chemotherapy, chemoradiation, or chemotherapy combined with targeted therapy. Proteome-based classification reveals four subtypes featured with distinct biological and therapeutic characteristics. The integrative analysis of CRC cell lines and clinical samples indicates that immune regulation is significantly associated with drug sensitivity. HSF1 can increase DNA damage repair and cell cycle, thus inducing resistance to radiation, while high expression of HDAC6 is negatively associated with response of cetuximab. Furthermore, we develop prognostic models with high accuracy to predict the therapeutic response, further validated by parallel reaction monitoring (PRM) assay in an independent validation cohort. This study provides a rich resource for investigating the mechanisms and indicators of chemoradiation and targeted therapy in CRC.
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Affiliation(s)
- Yan Li
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Bing Wang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Fahan Ma
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Dongxian Jiang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Ying Wang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Kai Li
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Subei Tan
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Jinwen Feng
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Yunzhi Wang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Zhaoyu Qin
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Ganfei Xu
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Sha Tian
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Xiaolei Zhang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Chen Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
| | - Jiaxue Wu
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China.
| | - Jianmin Xu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
| | - Yingyong Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
| | - Chen Ding
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China.
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15
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Gu J, Xie S, Li X, Wu Z, Xue L, Wang S, Wei W. Identification of plasma proteomic signatures associated with the progression of cardia gastric cancer and precancerous lesions. JOURNAL OF THE NATIONAL CANCER CENTER 2023; 3:286-294. [PMID: 39036665 PMCID: PMC11256680 DOI: 10.1016/j.jncc.2023.10.003] [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: 07/19/2023] [Revised: 10/11/2023] [Accepted: 10/17/2023] [Indexed: 07/23/2024] Open
Abstract
Objective Considering that there are no effective biomarkers for the screening of cardia gastric cancer (CGC), we developed a noninvasive diagnostic approach, employing data-independent acquisition (DIA) proteomics to identify candidate protein markers. Methods Plasma samples were obtained from 40 subjects, 10 each for CGC, cardia high-grade dysplasia (CHGD), cardia low-grade dysplasia (CLGD), and healthy controls. Proteomic profiles were obtained through liquid chromatography-mass spectrometry (LC-MS/MS-based DIA proteomics. Candidate plasma proteins were identified by weighted gene co-expression network analysis (WGCNA) combined with machine learning and further validated by the Human Protein Atlas (HPA) database. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of the biomarker panel. Results There was a clear distinction in proteomic features among CGC, CHGD, CLGD, and the healthy controls. According to the WGCNA, we found 42 positively associated and 164 inversely associated proteins related to CGC progression and demonstrated several canonical cancer-associated pathways. Combined with the results from random forests, LASSO regression, and immunohistochemical results from the HPA database, we identified three candidate proteins (GSTP1, CSRP1, and LY6G6F) that could together distinguish CLGD (AUC = 0.91), CHGD (AUC = 0.99) and CGC (AUC = 0.98) from healthy controls with excellent accuracy. Conclusions The panel of protein biomarkers showed promising diagnostic potential for CGC and precancerous lesions. Further validation and a larger-scale study are warranted to assess its potential clinical applications, suggesting a potential avenue for CGC prevention in the future.
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Affiliation(s)
- Jianhua Gu
- Office of National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China
| | - Shuanghua Xie
- Office of National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Xinqing Li
- Office of National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zeming Wu
- iPhenome Biotechnology (Dalian), Inc., Dalian, China
| | - Liyan Xue
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shaoming Wang
- Office of National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenqiang Wei
- Office of National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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16
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Asleh K, Dery V, Taylor C, Davey M, Djeungoue-Petga MA, Ouellette RJ. Extracellular vesicle-based liquid biopsy biomarkers and their application in precision immuno-oncology. Biomark Res 2023; 11:99. [PMID: 37978566 PMCID: PMC10655470 DOI: 10.1186/s40364-023-00540-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 11/06/2023] [Indexed: 11/19/2023] Open
Abstract
While the field of precision oncology is rapidly expanding and more targeted options are revolutionizing cancer treatment paradigms, therapeutic resistance particularly to immunotherapy remains a pressing challenge. This can be largely attributed to the dynamic tumor-stroma interactions that continuously alter the microenvironment. While to date most advancements have been made through examining the clinical utility of tissue-based biomarkers, their invasive nature and lack of a holistic representation of the evolving disease in a real-time manner could result in suboptimal treatment decisions. Thus, using minimally-invasive approaches to identify biomarkers that predict and monitor treatment response as well as alert to the emergence of recurrences is of a critical need. Currently, research efforts are shifting towards developing liquid biopsy-based biomarkers obtained from patients over the course of disease. Liquid biopsy represents a unique opportunity to monitor intercellular communication within the tumor microenvironment which could occur through the exchange of extracellular vesicles (EVs). EVs are lipid bilayer membrane nanoscale vesicles which transfer a plethora of biomolecules that mediate intercellular crosstalk, shape the tumor microenvironment, and modify drug response. The capture of EVs using innovative approaches, such as microfluidics, magnetic beads, and aptamers, allow their analysis via high throughput multi-omics techniques and facilitate their use for biomarker discovery. Artificial intelligence, using machine and deep learning algorithms, is advancing multi-omics analyses to uncover candidate biomarkers and predictive signatures that are key for translation into clinical trials. With the increasing recognition of the role of EVs in mediating immune evasion and as a valuable biomarker source, these real-time snapshots of cellular communication are promising to become an important tool in the field of precision oncology and spur the recognition of strategies to block resistance to immunotherapy. In this review, we discuss the emerging role of EVs in biomarker research describing current advances in their isolation and analysis techniques as well as their function as mediators in the tumor microenvironment. We also highlight recent lung cancer and melanoma studies that point towards their application as predictive biomarkers for immunotherapy and their potential clinical use in precision immuno-oncology.
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Affiliation(s)
- Karama Asleh
- Atlantic Cancer Research Institute, Moncton, New Brunswick, Canada.
| | - Valerie Dery
- Department of Chemistry and Biochemistry, Université de Moncton, Moncton, New Brunswick, Canada
| | - Catherine Taylor
- Atlantic Cancer Research Institute, Moncton, New Brunswick, Canada
| | - Michelle Davey
- Atlantic Cancer Research Institute, Moncton, New Brunswick, Canada
| | | | - Rodney J Ouellette
- Atlantic Cancer Research Institute, Moncton, New Brunswick, Canada
- Department of Chemistry and Biochemistry, Université de Moncton, Moncton, New Brunswick, Canada
- Dr Georges L. Dumont University Hospital, Vitalite Health Network, Moncton, New Brunswick, Canada
- Beatrice Hunter Cancer Research Institute, Halifax, Nova Scotia, Canada
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17
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Zhao J, Quan J, Chen W, Xie X. Grid2 interacting protein is a potential biomarker related to immune infiltration in colorectal cancer. Eur J Med Res 2023; 28:511. [PMID: 37964339 PMCID: PMC10644545 DOI: 10.1186/s40001-023-01468-x] [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: 08/02/2023] [Accepted: 10/23/2023] [Indexed: 11/16/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is one of the three deadliest malignant tumors in the world, posing a severe hazard to human health. Nonetheless, the 5-year survival rate for advanced CRC remains unsatisfactory. Grid2 interacting protein (GRID2IP) is a Purkinje fiber postsynaptic scaffold protein implicated in a number of signal transduction pathways in the nervous system. Previous studies have shown that Grid2 is closely related to the occurrence and prognosis of gastric cancer and many other diseases. Therefore, we aim to identify the relationship between GRID2IP and the occurrence and prognosis of CRC. METHODS Transcriptome data were retrieved from The Cancer Genome Atlas (TCGA) database to analyze the differential expression of GRID2IP in a variety of malignant tumors and then validate it by quantitative real time polymerase chain reaction(Q-PCR) and Western Blot in HT29 and SW480 cells. "DESeq2" package was used to analyze the differentially expressed genes (DEGs) between the high- and low-GRID2IP subgroups. In relation to DEGs, Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed. In addition, gene set enrichment analysis (GSEA) and single-sample gene set enrichment analysis (ssGSEA) were employed to examine DEGs-associated signaling pathways and GRID2IP-associated immune cell infiltration levels. Besides, overall survival (OS), disease-specific survival (DSS), and progression-free interval (PFI) were compared between the two subgroups using a Kaplan-Meier analysis. In addition, a prognostic model for GRID2IP and clinical characteristics was developed using the univariate Cox regression method. The "pRRophetic" package was applied to predict the drug sensitivity of different subgroups. Moreover, we also performed single-cell analysis of GRID2IP using the TISCH database. RESULTS GRID2IP is upregulated in CRC patients. The rise of GRID2IP inhibits the invasion of tumor-associated immune cells resulting in a lower immune score. In addition, high GRID2IP expression was associated with poor prognosis in different clinical subgroups. Analysis of single cells revealed that GRID2IP was predominantly expressed in immune cells, myofibroblasts, and cancerous cells. In terms of chemotherapy drug sensitivity, the subgroup with high GRID2IP expression was less sensitive to gemcitabine. CONCLUSIONS Our results suggest that rising GRID2IP promotes tumor-associated immune cell infiltration and suggests adverse outcomes in CRC patients, which may be a useful biomarker for determining the prognosis of CRC and a potential target molecule for CRC therapy.
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Affiliation(s)
- Jiajing Zhao
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515000, China
| | - Jiazheng Quan
- Marshall Laboratory of Biomedical Engineering, Institute of Biological Therapy, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518055, China
| | - Weilin Chen
- Marshall Laboratory of Biomedical Engineering, Institute of Biological Therapy, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518055, China.
| | - Xiaojun Xie
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515000, China.
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Olajide JS, Qu Z, Yang S, Yang B, Xu X, Wang J, Cai J. Quantitative proteomic analysis of local and systemic extracellular vesicles during Eimeria falciformis infectious cycle in the host. Parasit Vectors 2023; 16:339. [PMID: 37759313 PMCID: PMC10523797 DOI: 10.1186/s13071-023-05906-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: 04/11/2023] [Accepted: 07/27/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Extracellular vesicles (EVs) are membranous structures that are formed during pathophysiology, host-parasite interactions and parasite motility. Typically, apicomplexan-infected host cells secrete EVs which traverse local and systemic strata of the host as the parasites develop. METHODS Extracellular vesicles were isolated from the caecum and serum of Eimeria falciformis-infected mice during oocyst ingestion (0 h post-infection [0 hpi]), merozont stages 1 and 2 (68 and 116 hpi), oocyst shedding (7 days post-infection [7 dpi]) and host recovery (10 dpi) and subsequently characterized and profiled by tandem mass tag (TMT). RESULTS With the progression of E. falciformis life stages, subpopulation of EVs bearing EV biomarkers, including CD9, CD82, heat shock protein 70 (HSP70) and major histocompatibility complex (MHC) molecules, increased. A total of 860 and 1024 differentially expressed proteins were identified in serum EVs (sEVs) and caecum EVs (cEVs), respectively. Identified immune-related molecules (such as cytokines, receptors, immunoglobins, complements, hormones, inflammasomes), ion exchange and cell death-associated proteins were significantly expressed, at least during the E. falciformis first and second merozont stages. Bioinformatics assessment indicated that sEV proteins were at all time points implicated in antigen processing and presentation as well as natural killer cell-mediated cytotoxicity (68 hpi), complement activation/blood coagulation (116 hpi/10 dpi) and catabolic activities (7 dpi). In contrast, cEV proteins were involved in catabolic process, ion transport and antigen presentation (68 and 116 hpi). Host response to E. falciformis infection was similar to intestinal bacterium at 7 dpi and cell adhesion and intercellular protein transport at 10 dpi. In both systems, ferroptosis and necroptosis were common across the parasite's infectious cycle while apoptosis occurred at 68 hpi. CONCLUSION The proteomic data indicate that E. falciformis infection co-opts cellular and humoral responses through EV secretions, and that, host cell death and ionic imbalance are associated with E. falciformis infection. This study offers additional insight into host-parasite interactions and host regulatory EV proteins as potential disease indicators or diagnostic molecules.
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Affiliation(s)
- Joshua Seun Olajide
- State Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
- Centre for Distance Learning, Obafemi Awolowo University, Ile-Ife, Nigeria
| | - Zigang Qu
- State Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Shunli Yang
- State Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
- College of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao, China
| | - Bin Yang
- State Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Xiao Xu
- State Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Jing Wang
- State Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Jianping Cai
- State Key Laboratory of Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
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19
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Zhang J, Wu J, Wang G, He L, Zheng Z, Wu M, Zhang Y. Extracellular Vesicles: Techniques and Biomedical Applications Related to Single Vesicle Analysis. ACS NANO 2023; 17:17668-17698. [PMID: 37695614 DOI: 10.1021/acsnano.3c03172] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Extracellular vesicles (EVs) are extensively dispersed lipid bilayer membrane vesicles involved in the delivery and transportation of molecular payloads to certain cell types to facilitate intercellular interactions. Their significant roles in physiological and pathological processes make EVs outstanding biomarkers for disease diagnosis and treatment monitoring as well as ideal candidates for drug delivery. Nevertheless, differences in the biogenesis processes among EV subpopulations have led to a diversity of biophysical characteristics and molecular cargos. Additionally, the prevalent heterogeneity of EVs has been found to substantially hamper the sensitivity and accuracy of disease diagnosis and therapeutic monitoring, thus impeding the advancement of clinical applications. In recent years, the evolution of single EV (SEV) analysis has enabled an in-depth comprehension of the physical properties, molecular composition, and biological roles of EVs at the individual vesicle level. This review examines the sample acquisition tactics prior to SEV analysis, i.e., EV isolation techniques, and outlines the current state-of-the-art label-free and label-based technologies for SEV identification. Furthermore, the challenges and prospects of biomedical applications based on SEV analysis are systematically discussed.
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Affiliation(s)
- Jie Zhang
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
| | - Jiacheng Wu
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
| | - Guanzhao Wang
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
| | - Luxuan He
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
| | - Ziwei Zheng
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
| | - Minhao Wu
- Department of Immunology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, P. R. China
| | - Yuanqing Zhang
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, P. R. China
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20
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Chen J, Wang B, Luo Y, Wang W, Ding CF, Yan Y. Facile preparation of porphyrin-based porous organic polymers for specific enrichment and isolation of phosphopeptides and phosphorylated exosomes. Talanta 2023; 264:124771. [PMID: 37311329 DOI: 10.1016/j.talanta.2023.124771] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 06/01/2023] [Accepted: 06/05/2023] [Indexed: 06/15/2023]
Abstract
Exosomes, which can be used to investigate various disease processes, are novel disease markers that have been extensively studied in recent years. In this work, zirconium-rich porphyrin-based porous organic polymers (Imi-Pops-Zr) were synthesized by a facile and low-cost strategy for specific enrichment and isolation of phosphorylated peptides and exosomes. The proposed material demonstrates a low detection limit (0.5 fmol), a high selectivity (bovine serum albumin (BSA): β-casein = 1000:1), and a loading capability of 100 mg/g for phosphopeptides. For complex practical samples, after enrichment with Imi-Pops-Zr, 4 characteristic phosphopeptides from human serum, 20 and 12 phosphopeptides from human saliva and defatted milk were detected, respectively. Besides, 74 phosphorylated peptides with 67 phosphorylation sites belonging to 61 phosphoproteins and 67 phosphorylated peptides with 63 phosphorylation sites belonging to 65 phosphoproteins were detected from the serum of normal controls and uremic patients, respectively. Biological processes, cellular components and molecular functions revealed that interleukin-6, tumor necrosis factor, high density lipoprotein and proteases binding may be associated with uremia. Furthermore, Imi-Pops-Zr was successfully used to enrich and isolate exosomes from human serum. The experimental results show that Imi-Pops-Zr has promising application in the specific enrichment of phosphorylated peptides and exosomes in complex bio-samples.
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Affiliation(s)
- Jiakai Chen
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China
| | - Bing Wang
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China
| | - Yiting Luo
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China
| | - Weimin Wang
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China.
| | - Chuan-Fan Ding
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China.
| | - Yinghua Yan
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, School of Materials Science and Chemical Engineering, Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China.
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21
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Soloveva N, Novikova S, Farafonova T, Tikhonova O, Zgoda V. Proteomic Signature of Extracellular Vesicles Associated with Colorectal Cancer. Molecules 2023; 28:molecules28104227. [PMID: 37241967 DOI: 10.3390/molecules28104227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 05/28/2023] Open
Abstract
The proteins of extracellular vesicles (EVs) provide proteomic signatures that reflect molecular features of EV-producing cells, including cancer cells. Detection of cancer cell EV proteins is of great interest due to the development of novel predictive diagnostic approaches. Using targeted mass spectrometry with stable-isotope-labeled peptide standards (SIS), we measured in this study the levels of 34 EV-associated proteins in vesicles and whole lysate derived from the colorectal cancer (CRC) cell lines Caco-2, HT29 and HCT116. We also evaluated the abundance of 13 EV-associated proteins (FN1, TLN1, ITGB3, HSPA8, TUBA4A, CD9, CD63, HSPG2, ITGB1, GNAI2, TSG101, PACSIN2, and CDC42) in EVs isolated from blood plasma samples from 11 CRC patients and 20 healthy volunteers. Downregulation of TLN1, ITGB3, and TUBA4A with simultaneous upregulation of HSPG2 protein were observed in cancer samples compared to healthy controls. The proteomic cargo of the EVs associated with CRC represents a promising source of potential prognostic markers.
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Affiliation(s)
- Natalia Soloveva
- Orekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, 119121 Moscow, Russia
| | - Svetlana Novikova
- Orekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, 119121 Moscow, Russia
| | - Tatiana Farafonova
- Orekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, 119121 Moscow, Russia
| | - Olga Tikhonova
- Orekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, 119121 Moscow, Russia
| | - Victor Zgoda
- Orekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, 119121 Moscow, Russia
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22
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Zhang M, Xu T, Tong D, Li S, Yu X, Liu B, Jiang L, Liu K. Research advances in endometriosis-related signaling pathways: A review. Biomed Pharmacother 2023; 164:114909. [PMID: 37210898 DOI: 10.1016/j.biopha.2023.114909] [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: 04/04/2023] [Revised: 05/17/2023] [Accepted: 05/17/2023] [Indexed: 05/23/2023] Open
Abstract
Endometriosis (EM) is characterized by the existence of endometrial mucosa outside the uterine cavity, which causesinfertility, persistent aches, and a decline in women's quality of life. Both hormone therapies and nonhormone therapies, such as NSAIDs, are ineffective, generic categories of EM drugs. Endometriosis is a benign gynecological condition, yet it shares a number of features with cancer cells, including immune evasion, survival, adhesion, invasion, and angiogenesis. Several endometriosis-related signaling pathways are comprehensively reviewed in this article, including E2, NF-κB, MAPK, ERK, PI3K/Akt/mTOR, YAP, Wnt/β-catenin, Rho/ROCK, TGF-β, VEGF, NO, iron, cytokines and chemokines. To find and develop novel medications for the treatment of EM, it is essential to implicitly determine the molecular pathways that are disordered during EM development. Additionally, research on the shared pathways between EM and tumors can provide hypotheses or suggestions for endometriosis therapeutic targets.
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Affiliation(s)
- Manlin Zhang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Tongtong Xu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Deming Tong
- Department of General Surgery, General Hospital of Northern Theater Command, Shenyang, China
| | - Siman Li
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiaodan Yu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Boya Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lili Jiang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Kuiran Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
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Campos Segura AV, Velásquez Sotomayor MB, Gutiérrez Román AIF, Ortiz Rojas CA, Murillo Carrasco AG. Impact of mini-driver genes in the prognosis and tumor features of colorectal cancer samples: a novel perspective to support current biomarkers. PeerJ 2023; 11:e15410. [PMID: 37214090 PMCID: PMC10198153 DOI: 10.7717/peerj.15410] [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: 12/14/2022] [Accepted: 04/23/2023] [Indexed: 05/24/2023] Open
Abstract
Background Colorectal cancer (CRC) is the second leading cause of cancer-related deaths, and its development is associated with the gains and/or losses of genetic material, which leads to the emergence of main driver genes with higher mutational frequency. In addition, there are other genes with mutations that have weak tumor-promoting effects, known as mini-drivers, which could aggravate the development of oncogenesis when they occur together. The aim of our work was to use computer analysis to explore the survival impact, frequency, and incidence of mutations of possible mini-driver genes to be used for the prognosis of CRC. Methods We retrieved data from three sources of CRC samples using the cBioPortal platform and analyzed the mutational frequency to exclude genes with driver features and those mutated in less than 5% of the original cohort. We also observed that the mutational profile of these mini-driver candidates is associated with variations in the expression levels. The candidate genes obtained were subjected to Kaplan-Meier curve analysis, making a comparison between mutated and wild-type samples for each gene using a p-value threshold of 0.01. Results After gene filtering by mutational frequency, we obtained 159 genes of which 60 were associated with a high accumulation of total somatic mutations with Log2 (fold change) > 2 and p values < 10-5. In addition, these genes were enriched to oncogenic pathways such as epithelium-mesenchymal transition, hsa-miR-218-5p downregulation, and extracellular matrix organization. Our analysis identified five genes with possible implications as mini-drivers: DOCK3, FN1, PAPPA2, DNAH11, and FBN2. Furthermore, we evaluated a combined classification where CRC patients with at least one mutation in any of these genes were separated from the main cohort obtaining a p-value < 0.001 in the evaluation of CRC prognosis. Conclusion Our study suggests that the identification and incorporation of mini-driver genes in addition to known driver genes could enhance the accuracy of prognostic biomarkers for CRC.
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Affiliation(s)
- Anthony Vladimir Campos Segura
- Biochemistry and Molecular Biology Research Laboratory. Faculty of Natural Sciences and Mathematics, Universidad Nacional Federico Villarreal, Lima, Peru
- Research Group in Biochemistry and Synthetic Biology (GIBBS-UNFV), Lima, Peru
- Research Group in Immunology and Cancer (IMMUCA), Lima, Peru
| | - Mariana Belén Velásquez Sotomayor
- Research Group in Immunology and Cancer (IMMUCA), Lima, Peru
- School of Human Medicine, Faculty of Health Sciences, Universidad Cientifica del Sur, Lima, Peru
| | - Ana Isabel Flor Gutiérrez Román
- Biochemistry and Molecular Biology Research Laboratory. Faculty of Natural Sciences and Mathematics, Universidad Nacional Federico Villarreal, Lima, Peru
- Research Group in Biochemistry and Synthetic Biology (GIBBS-UNFV), Lima, Peru
| | - César Alexander Ortiz Rojas
- Research Group in Immunology and Cancer (IMMUCA), Lima, Peru
- Hematology Division, LIM31, Medical School, Universidade de São Paulo, Sao Paulo, Brazil
| | - Alexis Germán Murillo Carrasco
- Research Group in Immunology and Cancer (IMMUCA), Lima, Peru
- Centro de Investigação Translacional em Oncologia (LIM24), Departamento de Radiologia e Oncologia, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil
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Takeda M, Akamatsu S, Kita Y, Goto T, Kobayashi T. The Roles of Extracellular Vesicles in the Progression of Renal Cell Carcinoma and Their Potential for Future Clinical Application. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:nano13101611. [PMID: 37242027 DOI: 10.3390/nano13101611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/08/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023]
Abstract
Renal cell carcinoma (RCC) is the most common type of kidney cancer and is thought to originate from renal tubular epithelial cells. Extracellular vesicles (EVs) are nanosized lipid bilayer vesicles that are secreted into extracellular spaces by nearly all cell types, including cancer cells and non-cancerous cells. EVs are involved in multiple steps of RCC progression, such as local invasion, host immune modulation, drug resistance, and metastasis. Therefore, EVs secreted from RCC are attracting rapidly increasing attention from researchers. In this review, we highlight the mechanism by which RCC-derived EVs lead to disease progression as well as the potential and challenges related to the clinical implications of EV-based diagnostics and therapeutics.
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Affiliation(s)
- Masashi Takeda
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Shusuke Akamatsu
- Department of Urology, Graduate School of Medicine, Nagoya University, Nagoya 466-8550, Japan
| | - Yuki Kita
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Takayuki Goto
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Takashi Kobayashi
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
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Fan S, Poetsch A. Proteomic Research of Extracellular Vesicles in Clinical Biofluid. Proteomes 2023; 11:proteomes11020018. [PMID: 37218923 DOI: 10.3390/proteomes11020018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/14/2023] [Accepted: 04/28/2023] [Indexed: 05/24/2023] Open
Abstract
Extracellular vesicles (EVs), the lipid bilayer membranous structures of particles, are produced and released from almost all cells, including eukaryotes and prokaryotes. The versatility of EVs has been investigated in various pathologies, including development, coagulation, inflammation, immune response modulation, and cell-cell communication. Proteomics technologies have revolutionized EV studies by enabling high-throughput analysis of their biomolecules to deliver comprehensive identification and quantification with rich structural information (PTMs, proteoforms). Extensive research has highlighted variations in EV cargo depending on vesicle size, origin, disease, and other features. This fact has sparked activities to use EVs for diagnosis and treatment to ultimately achieve clinical translation with recent endeavors summarized and critically reviewed in this publication. Notably, successful application and translation require a constant improvement of methods for sample preparation and analysis and their standardization, both of which are areas of active research. This review summarizes the characteristics, isolation, and identification approaches for EVs and the recent advances in EVs for clinical biofluid analysis to gain novel knowledge by employing proteomics. In addition, the current and predicted future challenges and technical barriers are also reviewed and discussed.
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Affiliation(s)
- Shipan Fan
- School of Basic Medical Sciences, Nanchang University, Nanchang 330021, China
| | - Ansgar Poetsch
- Queen Mary School, Medical College, Nanchang University, Nanchang 330021, China
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Ren XD, Su N, Sun XG, Li WM, Li J, Li BW, Li RX, Lv J, Xu QY, Kong WL, Huang Q. Advances in liquid biopsy-based markers in NSCLC. Adv Clin Chem 2023; 114:109-150. [PMID: 37268331 DOI: 10.1016/bs.acc.2023.02.004] [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: 06/04/2023]
Abstract
Lung cancer is the second most-frequently occurring cancer and the leading cause of cancer-associated deaths worldwide. Non-small cell lung cancer (NSCLC), the most common type of lung cancer is often diagnosed in middle or advanced stages and have poor prognosis. Diagnosis of disease at an early stage is a key factor for improving prognosis and reducing mortality, whereas, the currently used diagnostic tools are not sufficiently sensitive for early-stage NSCLC. The emergence of liquid biopsy has ushered in a new era of diagnosis and management of cancers, including NSCLC, since analysis of circulating tumor-derived components, such as cell-free DNA (cfDNA), circulating tumor cells (CTCs), cell-free RNAs (cfRNAs), exosomes, tumor-educated platelets (TEPs), proteins, and metabolites in blood or other biofluids can enable early cancer detection, treatment selection, therapy monitoring and prognosis assessment. There have been great advances in liquid biopsy of NSCLC in the past few years. Hence, this chapter introduces the latest advances on the clinical application of cfDNA, CTCs, cfRNAs and exosomes, with a particular focus on their application as early markers in the diagnosis, treatment and prognosis of NSCLC.
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Affiliation(s)
- Xiao-Dong Ren
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China
| | - Ning Su
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China
| | - Xian-Ge Sun
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China
| | - Wen-Man Li
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China
| | - Jin Li
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China
| | - Bo-Wen Li
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China
| | - Ruo-Xu Li
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China
| | - Jing Lv
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China
| | - Qian-Ying Xu
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China
| | - Wei-Long Kong
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China
| | - Qing Huang
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, P.R. China.
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Extracellular Vesicles as Biomarkers in Head and Neck Squamous Cell Carcinoma: From Diagnosis to Disease-Free Survival. Cancers (Basel) 2023; 15:cancers15061826. [PMID: 36980712 PMCID: PMC10046514 DOI: 10.3390/cancers15061826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 03/22/2023] Open
Abstract
Head and neck squamous cell carcinomas (HNSCCs) arising from different anatomical sites present with different incidences and characteristics, which requires a personalized treatment strategy. Despite the extensive research that has conducted on this malignancy, HNSCC still has a poor overall survival rate. Many attempts have been made to improve the outcomes, but one of the bottlenecks is thought to be the lack of an effective biomarker with high sensitivity and specificity. Extracellular vesicles (EVs) are secreted by various cells and participate in a great number of intercellular communications. Based on liquid biopsy, EV detection in several biofluids, such as blood, saliva, and urine, has been applied to identify the existence and progression of a variety of cancers. In HNSCC, tumor-derived EVs exhibit many functionalities by transporting diverse cargoes, which highlights their importance in tumor screening, the determination of multidisciplinary therapy, prediction of prognosis, and evaluation of therapeutic effects. This review illustrates the classification and formation of EV subtypes, the cargoes conveyed by these vesicles, and their respective functions in HNSCC cancer biology, and discloses their potential as biomarkers during the whole process of tumor diagnosis, treatment, and follow-up.
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Chen Y, Ouyang Y, Li Z, Wang X, Ma J. S100A8 and S100A9 in Cancer. Biochim Biophys Acta Rev Cancer 2023; 1878:188891. [PMID: 37001615 DOI: 10.1016/j.bbcan.2023.188891] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 03/09/2023] [Accepted: 03/09/2023] [Indexed: 03/31/2023]
Abstract
S100A8 and S100A9 are Ca2+ binding proteins that belong to the S100 family. Primarily expressed in neutrophils and monocytes, S100A8 and S100A9 play critical roles in modulating various inflammatory responses and inflammation-associated diseases. Forming a common heterodimer structure S100A8/A9, S100A8 and S100A9 are widely reported to participate in multiple signaling pathways in tumor cells. Meanwhile, S100A8/A9, S100A8, and S100A9, mainly as promoters, contribute to tumor development, growth and metastasis by interfering with tumor metabolism and the microenvironment. In recent years, the potential of S100A8/A9, S100A9, and S100A8 as tumor diagnostic or prognostic biomarkers has also been demonstrated. In addition, an increasing number of potential therapies targeting S100A8/A9 and related signaling pathways have emerged. In this review, we will first expound on the characteristics of S100A8/A9, S100A9, and S100A8 in-depth, focus on their interactions with tumor cells and microenvironments, and then discuss their clinical applications as biomarkers and therapeutic targets. We also highlight current limitations and look into the future of S100A8/A9 targeted anti-cancer therapy.
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Jalaludin I, Lubman DM, Kim J. A guide to mass spectrometric analysis of extracellular vesicle proteins for biomarker discovery. MASS SPECTROMETRY REVIEWS 2023; 42:844-872. [PMID: 34747512 DOI: 10.1002/mas.21749] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 10/21/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
Exosomes (small extracellular vesicles) in living organisms play an important role in processes such as cell proliferation or intercellular communication. Recently, exosomes have been extensively investigated for biomarker discoveries for various diseases. An important aspect of exosome analysis involves the development of enrichment methods that have been introduced for successful isolation of exosomes. These methods include ultracentrifugation, size exclusion chromatography, polyethylene glycol-based precipitation, immunoaffinity-based enrichment, ultrafiltration, and asymmetric flow field-flow fractionation among others. To confirm the presence of exosomes, various characterization methods have been utilized such as Western blot analysis, atomic force microscopy, electron microscopy, optical methods, zeta potential, visual inspection, and mass spectrometry. Recent advances in high-resolution separations, high-performance mass spectrometry and comprehensive proteome databases have all contributed to the successful analysis of exosomes from patient samples. Herein we review various exosome enrichment methods, characterization methods, and recent trends of exosome investigations using mass spectrometry-based approaches for biomarker discovery.
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Affiliation(s)
- Iqbal Jalaludin
- Department of Chemistry, Chungnam National University, Daejeon, Republic of Korea
| | - David M Lubman
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan, USA
| | - Jeongkwon Kim
- Department of Chemistry, Chungnam National University, Daejeon, Republic of Korea
- Graduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, Republic of Korea
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Lee Y, Ni J, Beretov J, Wasinger VC, Graham P, Li Y. Recent advances of small extracellular vesicle biomarkers in breast cancer diagnosis and prognosis. Mol Cancer 2023; 22:33. [PMID: 36797736 PMCID: PMC9933347 DOI: 10.1186/s12943-023-01741-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 02/06/2023] [Indexed: 02/18/2023] Open
Abstract
Current clinical tools for breast cancer (BC) diagnosis are insufficient but liquid biopsy of different bodily fluids has recently emerged as a minimally invasive strategy that provides a real-time snapshot of tumour biomarkers for early diagnosis, active surveillance of progression, and post-treatment recurrence. Extracellular vesicles (EVs) are nano-sized membranous structures 50-1000 nm in diameter that are released by cells into biological fluids. EVs contain proteins, nucleic acids, and lipids which play pivotal roles in tumourigenesis and metastasis through cell-to-cell communication. Proteins and miRNAs from small EVs (sEV), which range in size from 50-150 nm, are being investigated as a potential source for novel BC biomarkers using mass spectrometry-based proteomics and next-generation sequencing. This review covers recent developments in sEV isolation and single sEV analysis technologies and summarises the sEV protein and miRNA biomarkers identified for BC diagnosis, prognosis, and chemoresistance. The limitations of current sEV biomarker research are discussed along with future perspective applications.
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Affiliation(s)
- Yujin Lee
- grid.1005.40000 0004 4902 0432St. George and Sutherland Clinical Campuses, School of Clinical Medicine, UNSW Sydney, Kensington, NSW 2052 Australia ,grid.416398.10000 0004 0417 5393Cancer Care Centre, St. George Hospital, Kogarah, NSW 2217 Australia
| | - Jie Ni
- grid.1005.40000 0004 4902 0432St. George and Sutherland Clinical Campuses, School of Clinical Medicine, UNSW Sydney, Kensington, NSW 2052 Australia ,grid.416398.10000 0004 0417 5393Cancer Care Centre, St. George Hospital, Kogarah, NSW 2217 Australia
| | - Julia Beretov
- grid.1005.40000 0004 4902 0432St. George and Sutherland Clinical Campuses, School of Clinical Medicine, UNSW Sydney, Kensington, NSW 2052 Australia ,grid.416398.10000 0004 0417 5393Cancer Care Centre, St. George Hospital, Kogarah, NSW 2217 Australia ,grid.416398.10000 0004 0417 5393Anatomical Pathology, NSW Health Pathology, St. George Hospital, Kogarah, NSW 2217 Australia
| | - Valerie C. Wasinger
- grid.1005.40000 0004 4902 0432Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, UNSW Sydney, Kensington, NSW 2052 Australia ,grid.1005.40000 0004 4902 0432School of Medical Science, UNSW Sydney, Kensington, NSW 2052 Australia
| | - Peter Graham
- grid.1005.40000 0004 4902 0432St. George and Sutherland Clinical Campuses, School of Clinical Medicine, UNSW Sydney, Kensington, NSW 2052 Australia ,grid.416398.10000 0004 0417 5393Cancer Care Centre, St. George Hospital, Kogarah, NSW 2217 Australia
| | - Yong Li
- St. George and Sutherland Clinical Campuses, School of Clinical Medicine, UNSW Sydney, Kensington, NSW, 2052, Australia. .,Cancer Care Centre, St. George Hospital, Kogarah, NSW, 2217, Australia.
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Extracellular Vesicles in Colorectal Cancer: From Tumor Growth and Metastasis to Biomarkers and Nanomedications. Cancers (Basel) 2023; 15:cancers15041107. [PMID: 36831450 PMCID: PMC9953945 DOI: 10.3390/cancers15041107] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
Colorectal cancer (CRC) is a leading public health concern due to its incidence and high mortality rates, highlighting the requirement of an early diagnosis. Evaluation of circulating extracellular vesicles (EVs) might constitute a noninvasive and reliable approach for CRC detection and for patient follow-up because EVs display the molecular features of the cells they originate. EVs are released by almost all cell types and are mainly categorized as exosomes originating from exocytosis of intraluminal vesicles from multivesicular bodies, ectosomes resulting from outward budding of the plasma membrane and apoptotic bodies' ensuing cell shrinkage. These vesicles play a critical role in intercellular communications during physiological and pathological processes. They facilitate CRC progression and premetastatic niche formation, and they enable transfer of chemotherapy resistance to sensitive cells through the local or remote delivery of their lipid, nucleic acid and protein content. On another note, their stability in the bloodstream, their permeation in tissues and their sheltering of packaged material make engineered EVs suitable vectors for efficient delivery of tracers and therapeutic agents for tumor imaging or treatment. Here, we focus on the physiopathological role of EVs in CRCs, their value in the diagnosis and prognosis and ongoing investigations into therapeutic approaches.
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Heck KA, Lindholm HT, Niederdorfer B, Tsirvouli E, Kuiper M, Flobak Å, Lægreid A, Thommesen L. Characterisation of Colorectal Cancer Cell Lines through Proteomic Profiling of Their Extracellular Vesicles. Proteomes 2023; 11:proteomes11010003. [PMID: 36648961 PMCID: PMC9844407 DOI: 10.3390/proteomes11010003] [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: 10/24/2022] [Revised: 01/07/2023] [Accepted: 01/09/2023] [Indexed: 01/13/2023] Open
Abstract
Colorectal cancer (CRC) is one of the most prevalent cancers, driven by several factors including deregulations in intracellular signalling pathways. Small extracellular vesicles (sEVs) are nanosized protein-packaged particles released from cells, which are present in liquid biopsies. Here, we characterised the proteome landscape of sEVs and their cells of origin in three CRC cell lines HCT116, HT29 and SW620 to explore molecular traits that could be exploited as cancer biomarker candidates and how intracellular signalling can be assessed by sEV analysis instead of directly obtaining the cell of origin itself. Our findings revealed that sEV cargo clearly reflects its cell of origin with proteins of the PI3K-AKT pathway highly represented in sEVs. Proteins known to be involved in CRC were detected in both cells and sEVs including KRAS, ARAF, mTOR, PDPK1 and MAPK1, while TGFB1 and TGFBR2, known to be key players in epithelial cancer carcinogenesis, were found to be enriched in sEVs. Furthermore, the phosphopeptide-enriched profiling of cell lysates demonstrated a distinct pattern between cell lines and highlighted potential phosphoproteomic targets to be investigated in sEVs. The total proteomic and phosphoproteomics profiles described in the current work can serve as a source to identify candidates for cancer biomarkers that can potentially be assessed from liquid biopsies.
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Affiliation(s)
- Kathleen A. Heck
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Håvard T. Lindholm
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Barbara Niederdorfer
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Eirini Tsirvouli
- Department of Biology, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Martin Kuiper
- Department of Biology, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Åsmund Flobak
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway
- The Cancer Clinic, St. Olav’s University Hospital, 7030 Trondheim, Norway
| | - Astrid Lægreid
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Liv Thommesen
- Department of Biomedical Laboratory Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway
- Correspondence:
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Choi H, Ju S, Kang K, Seo MH, Kim JM, Miyoshi E, Yeo MK, Park SY. Terminal fucosylation of haptoglobin in cancer-derived exosomes during cholangiocarcinoma progression. Front Oncol 2023; 13:1183442. [PMID: 37168374 PMCID: PMC10165115 DOI: 10.3389/fonc.2023.1183442] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 04/10/2023] [Indexed: 05/13/2023] Open
Abstract
Background Cholangiocarcinoma (CCA) is a silent tumor with a high mortality rate due to the difficulty of early diagnosis and prediction of recurrence even after timely surgery. Serologic cancer biomarkers have been used in clinical practice, but their low specificity and sensitivity have been problematic. In this study, we aimed to identify CCA-specific glycan epitopes that can be used for diagnosis and to elucidate the mechanisms by which glycosylation is altered with tumor progression. Methods The serum of patients with various cancers was fractioned into membrane-bound and soluble components using serial ultracentrifugation. Lectin blotting was conducted to evaluate glycosylation. Proteins having altered glycosylation were identified using proteomic analysis and further confirmed using immunoblotting analysis. We performed HPLC, gene analysis, real-time cargo tracking, and immunohistochemistry to determine the origin of CCA glycosylation and its underlying mechanisms. Extracellular vesicles (EV) were isolated from the sera of 62 patients with CCA at different clinical stages and inflammatory conditions and used for glycan analysis to assess their clinical significance. Results The results reveal that glycosylation patterns between soluble and membrane-bound fractions differ significantly even when obtained from the same donor. Notably, glycans with α1-3/4 fucose and β1-6GlcNAc branched structures increase specifically in membrane-bound fractions of CCA. Mechanically, it is primarily due to β-haptoglobin (β-Hp) originating from CCA expressing fucosyltransferase-3/4 (FUT 3/4) and N-acetylglucosaminyltransferase-V (MGAT5). Newly synthesized β-Hp is loaded into EVs in early endosomes via a KFERQ-like motif and then secreted from CCA cells to induce tumor progression. In contrast, β-Hp expressed by hepatocytes is secreted in a soluble form that does not affect CCA progression. Moreover, evaluation of EV glycosylation in CCA patients shows that fucosylation level of EV-Hp gradually increases with tumor progression and decreases markedly when the tumors are eliminated by surgery. Conclusion This study suggests that terminal fucosylation of Hp in cancer-derived exosomes can be a novel glycan marker for diagnosis and prognosis of CCA. These findings highlight the potential of glycan analysis in different fractions of serum for biomarker discover for other diseases. Further research is needed to understand the role of fucosylated EVs on CCA progression.
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Affiliation(s)
- Hyewon Choi
- Department of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea
| | - Sungeun Ju
- Department of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea
| | - Keunsoo Kang
- Department of Microbiology, Dankook University, Cheonan, Chungnam, Republic of Korea
| | - Moon-Hyeong Seo
- Natural Product Research Center, Korea Institute of Science and Technology, Gangneung, Republic of Korea
| | - Jin-Man Kim
- Department of Pathology, Chungnam National University School of Medicine, Daejeon, Republic of Korea
| | - Eiji Miyoshi
- Department of Molecular Biochemistry and Clinical Investigation, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Min-Kyung Yeo
- Department of Pathology, Chungnam National University School of Medicine, Daejeon, Republic of Korea
- *Correspondence: Min-Kyung Yeo, ; Seung-Yeol Park,
| | - Seung-Yeol Park
- Department of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea
- *Correspondence: Min-Kyung Yeo, ; Seung-Yeol Park,
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Zhou Y, Zhang Y, Li F, Lian X, Zhu Q, Zhu F, Qiu Y. SISPRO: signature identification for spatial proteomics. J Mol Biol 2023. [DOI: 10.1016/j.jmb.2022.167944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Kuhn M, Zhang Y, Favate J, Morita M, Blucher A, Das S, Liang S, Preet R, Parham LR, Williams KN, Molugu S, Armstrong RJ, Zhang W, Yang J, Hamilton KE, Dixon DA, Mills G, Morgan TK, Shah P, Andres SF. IMP1/IGF2BP1 in human colorectal cancer extracellular vesicles. Am J Physiol Gastrointest Liver Physiol 2022; 323:G571-G585. [PMID: 36194131 PMCID: PMC9678429 DOI: 10.1152/ajpgi.00121.2022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 09/22/2022] [Accepted: 09/27/2022] [Indexed: 01/31/2023]
Abstract
Colorectal cancer (CRC) is a leading cause of cancer-related death. There is an urgent need for new methods of early CRC detection and monitoring to improve patient outcomes. Extracellular vesicles (EVs) are secreted, lipid-bilayer bound, nanoparticles that carry biological cargo throughout the body and in turn exhibit cancer-related biomarker potential. RNA binding proteins (RBPs) are posttranscriptional regulators of gene expression that may provide a link between host cell gene expression and EV phenotypes. Insulin-like growth factor 2 RNA binding protein 1 (IGF2BP1/IMP1) is an RBP that is highly expressed in CRC with higher levels of expression correlating with poor prognosis. IMP1 binds and potently regulates tumor-associated transcripts that may impact CRC EV phenotypes. Our objective was to test whether IMP1 expression levels impact EV secretion and/or cargo. We used RNA sequencing, in vitro CRC cell lines, ex vivo colonoid models, and xenograft mice to test the hypothesis that IMP1 influences EV secretion and/or cargo in human CRC. Our data demonstrate that IMP1 modulates the RNA expression of transcripts associated with extracellular vesicle pathway regulation, but it has no effect on EV secretion levels in vitro or in vivo. Rather, IMP1 appears to affect EV regulation by directly entering EVs in a transformation-dependent manner. These findings suggest that IMP1 has the ability to shape EV cargo in human CRC, which could serve as a diagnostic/prognostic circulating tumor biomarker.NEW & NOTEWORTHY This work demonstrates that the RNA binding protein IGF2BP1/IMP1 alters the transcript profile of colorectal cancer cell (CRC) mRNAs from extracellular vesicle (EV) pathways. IMP1 does not alter EV production or secretion in vitro or in vivo, but rather enters CRC cells where it may further impact EV cargo. Our work shows that IMP1 has the ability to shape EV cargo in human CRC, which could serve as a diagnostic/prognostic circulating tumor biomarker.
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Affiliation(s)
- Madeline Kuhn
- Pediatric Gastroenterology Division, Department of Pediatrics, School of Medicine, Oregon Health and Science University, Portland, Oregon
| | - Yang Zhang
- Pediatric Gastroenterology Division, Department of Pediatrics, School of Medicine, Oregon Health and Science University, Portland, Oregon
| | - John Favate
- Department of Genetics, Rutgers University, Piscataway, New Jersey
| | - Mayu Morita
- Department of Pathology, Oregon Health and Science University, Portland, Oregon
| | - Aurora Blucher
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
| | - Sukanya Das
- Department of Genetics, Rutgers University, Piscataway, New Jersey
| | - Shun Liang
- Department of Genetics, Rutgers University, Piscataway, New Jersey
| | - Ranjan Preet
- Department of Molecular Biosciences, University of Kansas Cancer Center, University of Kansas, Lawrence, Kansas
| | - Louis R Parham
- Division of Gastroenterology Hepatology and Nutrition, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Kathy N Williams
- Division of Gastroenterology, Department of Medicine, Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Sudheer Molugu
- Electron Microscopy Resource Lab, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Randall J Armstrong
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
- Cancer Early Detection Advanced Research, Oregon Health and Science University, Portland, Oregon
| | - Wei Zhang
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jiegang Yang
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kathryn E Hamilton
- Division of Gastroenterology Hepatology and Nutrition, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Dan A Dixon
- Department of Molecular Biosciences, University of Kansas Cancer Center, University of Kansas, Lawrence, Kansas
| | - Gordon Mills
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
| | - Terry K Morgan
- Department of Pathology, Oregon Health and Science University, Portland, Oregon
- Cancer Early Detection Advanced Research, Oregon Health and Science University, Portland, Oregon
| | - Premal Shah
- Department of Genetics, Rutgers University, Piscataway, New Jersey
| | - Sarah F Andres
- Pediatric Gastroenterology Division, Department of Pediatrics, School of Medicine, Oregon Health and Science University, Portland, Oregon
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Kawasaki T, Takeda Y, Edahiro R, Shirai Y, Nogami-Itoh M, Matsuki T, Kida H, Enomoto T, Hara R, Noda Y, Adachi Y, Niitsu T, Amiya S, Yamaguchi Y, Murakami T, Kato Y, Morita T, Yoshimura H, Yamamoto M, Nakatsubo D, Miyake K, Shiroyama T, Hirata H, Adachi J, Okada Y, Kumanogoh A. Next-generation proteomics of serum extracellular vesicles combined with single-cell RNA sequencing identifies MACROH2A1 associated with refractory COVID-19. Inflamm Regen 2022; 42:53. [PMID: 36451245 PMCID: PMC9709739 DOI: 10.1186/s41232-022-00243-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/18/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic is widespread; however, accurate predictors of refractory cases have not yet been established. Circulating extracellular vesicles, involved in many pathological processes, are ideal resources for biomarker exploration. METHODS To identify potential serum biomarkers and examine the proteins associated with the pathogenesis of refractory COVID-19, we conducted high-coverage proteomics on serum extracellular vesicles collected from 12 patients with COVID-19 at different disease severity levels and 4 healthy controls. Furthermore, single-cell RNA sequencing of peripheral blood mononuclear cells collected from 10 patients with COVID-19 and 5 healthy controls was performed. RESULTS Among the 3046 extracellular vesicle proteins that were identified, expression of MACROH2A1 was significantly elevated in refractory cases compared to non-refractory cases; moreover, its expression was increased according to disease severity. In single-cell RNA sequencing of peripheral blood mononuclear cells, the expression of MACROH2A1 was localized to monocytes and elevated in critical cases. Consistently, single-nucleus RNA sequencing of lung tissues revealed that MACROH2A1 was highly expressed in monocytes and macrophages and was significantly elevated in fatal COVID-19. Moreover, molecular network analysis showed that pathways such as "estrogen signaling pathway," "p160 steroid receptor coactivator (SRC) signaling pathway," and "transcriptional regulation by STAT" were enriched in the transcriptome of monocytes in the peripheral blood mononuclear cells and lungs, and they were also commonly enriched in extracellular vesicle proteomics. CONCLUSIONS Our findings highlight that MACROH2A1 in extracellular vesicles is a potential biomarker of refractory COVID-19 and may reflect the pathogenesis of COVID-19 in monocytes.
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Affiliation(s)
- Takahiro Kawasaki
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan ,grid.136593.b0000 0004 0373 3971Laboratory of Immunopathology, World Premier International Immunology Frontier Research Center (WPI-IFReC), Osaka University, Osaka, 565-0871 Japan
| | - Yoshito Takeda
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Ryuya Edahiro
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan ,grid.136593.b0000 0004 0373 3971Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yuya Shirai
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan ,grid.136593.b0000 0004 0373 3971Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Mari Nogami-Itoh
- grid.482562.fLaboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki, Osaka 567-0085 Japan
| | - Takanori Matsuki
- grid.416803.80000 0004 0377 7966Department of Respiratory Medicine, National Hospital Organization Osaka Toneyama Medical Center, 5-1-1 Toneyama, Toyonaka, Osaka 560-8552 Japan
| | - Hiroshi Kida
- grid.416803.80000 0004 0377 7966Department of Respiratory Medicine, National Hospital Organization Osaka Toneyama Medical Center, 5-1-1 Toneyama, Toyonaka, Osaka 560-8552 Japan
| | - Takatoshi Enomoto
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Reina Hara
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Yoshimi Noda
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Yuichi Adachi
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Takayuki Niitsu
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Saori Amiya
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Yuta Yamaguchi
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Teruaki Murakami
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Yasuhiro Kato
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Takayoshi Morita
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Hanako Yoshimura
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Makoto Yamamoto
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Daisuke Nakatsubo
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Kotaro Miyake
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Takayuki Shiroyama
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Haruhiko Hirata
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan
| | - Jun Adachi
- grid.482562.fLaboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka, 567-0085 Japan
| | - Yukinori Okada
- grid.136593.b0000 0004 0373 3971Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Atsushi Kumanogoh
- grid.136593.b0000 0004 0373 3971Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, 565-0871 Japan ,grid.136593.b0000 0004 0373 3971Laboratory of Immunopathology, World Premier International Immunology Frontier Research Center (WPI-IFReC), Osaka University, Osaka, 565-0871 Japan ,grid.136593.b0000 0004 0373 3971Center for Infectious Diseases for Education and Research (CiDER), Osaka University, Suita, Osaka Japan ,grid.136593.b0000 0004 0373 3971Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Suita, Japan ,grid.480536.c0000 0004 5373 4593Japan Agency for Medical Research and Development-Core Research for Evolutionary Medical Science and Technology (AMED-CREST), Japan Agency for Medical Research and Development, Tokyo, Japan ,grid.136593.b0000 0004 0373 3971Center for Advanced Modalities and DDS (CAMaD), Osaka University, Osaka, Japan
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Phosphorylated Proteins from Serum: A Promising Potential Diagnostic Biomarker of Cancer. Int J Mol Sci 2022; 23:ijms232012359. [PMID: 36293212 PMCID: PMC9604268 DOI: 10.3390/ijms232012359] [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: 09/22/2022] [Revised: 10/07/2022] [Accepted: 10/07/2022] [Indexed: 11/16/2022] Open
Abstract
Cancer is a fatal disease worldwide. Each year ten million people are diagnosed around the world, and more than half of patients eventually die from it in many countries. A majority of cancer remains asymptomatic in the earlier stages, with specific symptoms appearing in the advanced stages when the chances of adequate treatment are low. Cancer screening is generally executed by different imaging techniques like ultrasonography (USG), mammography, CT-scan, and magnetic resonance imaging (MRI). Imaging techniques, however, fail to distinguish between cancerous and non-cancerous cells for early diagnosis. To confirm the imaging result, solid and liquid biopsies are done which have certain limitations such as invasive (in case of solid biopsy) or missed early diagnosis due to extremely low concentrations of circulating tumor DNA (in case of liquid biopsy). Therefore, it is essential to detect certain biomarkers by a noninvasive approach. One approach is a proteomic or glycoproteomic study which mostly identifies proteins and glycoproteins present in tissues and serum. Some of these studies are approved by the Food and Drug Administration (FDA). Another non-expensive and comparatively easier method to detect glycoprotein biomarkers is by ELISA, which uses lectins of diverse specificities. Several of the FDA approved proteins used as cancer biomarkers do not show optimal sensitivities for precise diagnosis of the diseases. In this regard, expression of phosphoproteins is associated with a more specific stage of a particular disease with high sensitivity and specificity. In this review, we discuss the expression of different serum phosphoproteins in various cancers. These phosphoproteins are detected either by phosphoprotein enrichment by immunoprecipitation using phosphospecific antibody and metal oxide affinity chromatography followed by LC-MS/MS or by 2D gel electrophoresis followed by MALDI-ToF/MS analysis. The updated knowledge on phosphorylated proteins in clinical samples from various cancer patients would help to develop these serum phophoproteins as potential diagnostic/prognostic biomarkers of cancer.
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38
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Li Y, Xu C, Wang B, Xu F, Ma F, Qu Y, Jiang D, Li K, Feng J, Tian S, Wu X, Wang Y, Liu Y, Qin Z, Liu Y, Qin J, Song Q, Zhang X, Sujie A, Huang J, Liu T, Shen K, Zhao JY, Hou Y, Ding C. Proteomic characterization of gastric cancer response to chemotherapy and targeted therapy reveals new therapeutic strategies. Nat Commun 2022; 13:5723. [PMID: 36175412 PMCID: PMC9522856 DOI: 10.1038/s41467-022-33282-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 09/12/2022] [Indexed: 11/09/2022] Open
Abstract
Chemotherapy and targeted therapy are the major treatments for gastric cancer (GC), but drug resistance limits its effectiveness. Here, we profile the proteome of 206 tumor tissues from patients with GC undergoing either chemotherapy or anti-HER2-based therapy. Proteome-based classification reveals four subtypes (G-I-G-IV) related to different clinical and molecular features. MSI-sig high GC patients benefit from docetaxel combination treatment, accompanied by anticancer immune response. Further study reveals patients with high T cell receptor signaling respond to anti-HER2-based therapy; while activation of extracellular matrix/PI3K-AKT pathway impair anti-tumor effect of trastuzumab. We observe CTSE functions as a cell intrinsic enhancer of chemosensitivity of docetaxel, whereas TKTL1 functions as an attenuator. Finally, we develop prognostic models with high accuracy to predict therapeutic response, further validated in an independent validation cohort. This study provides a rich resource for investigating the mechanisms and indicators of chemotherapy and targeted therapy in GC.
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Affiliation(s)
- Yan Li
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Chen Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Bing Wang
- State Key Laboratory of Cell Differentiation and Regulation, Henan International Joint Laboratory of Pulmonary Fibrosis, Henan center for outstanding overseas scientists of pulmonary fibrosis, College of Life Science, Institute of Biomedical Science, Henan Normal University, Xinxiang, 453007, China
| | - Fujiang Xu
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China.,Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
| | - Fahan Ma
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Yuanyuan Qu
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Shanghai, 200032, China.,Shanghai Genitourinary Cancer Institute, Shanghai, 200032, China
| | - Dongxian Jiang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Kai Li
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Jinwen Feng
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Sha Tian
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Xiaohui Wu
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Yunzhi Wang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Yang Liu
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Zhaoyu Qin
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Yalan Liu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jing Qin
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Qi Song
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Xiaolei Zhang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Akesu Sujie
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jie Huang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Tianshu Liu
- Department of Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
| | - Kuntang Shen
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
| | - Jian-Yuan Zhao
- Institute for Developmental and Regenerative Cardiovascular Medicine, MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China. .,Department of Anatomy and Neuroscience Research Institute, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.
| | - Yingyong Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
| | - Chen Ding
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433, China.
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Lucotti S, Kenific CM, Zhang H, Lyden D. Extracellular vesicles and particles impact the systemic landscape of cancer. EMBO J 2022; 41:e109288. [PMID: 36052513 PMCID: PMC9475536 DOI: 10.15252/embj.2021109288] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 02/16/2022] [Accepted: 03/23/2022] [Indexed: 11/09/2022] Open
Abstract
Intercellular cross talk between cancer cells and stromal and immune cells is essential for tumor progression and metastasis. Extracellular vesicles and particles (EVPs) are a heterogeneous class of secreted messengers that carry bioactive molecules and that have been shown to be crucial for this cell-cell communication. Here, we highlight the multifaceted roles of EVPs in cancer. Functionally, transfer of EVP cargo between cells influences tumor cell growth and invasion, alters immune cell composition and function, and contributes to stromal cell activation. These EVP-mediated changes impact local tumor progression, foster cultivation of pre-metastatic niches at distant organ-specific sites, and mediate systemic effects of cancer. Furthermore, we discuss how exploiting the highly selective enrichment of molecules within EVPs has profound implications for advancing diagnostic and prognostic biomarker development and for improving therapy delivery in cancer patients. Altogether, these investigations into the role of EVPs in cancer have led to discoveries that hold great promise for improving cancer patient care and outcome.
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Affiliation(s)
- Serena Lucotti
- Children’s Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children’s Health, Meyer Cancer CenterWeill Cornell MedicineNew YorkNYUSA
| | - Candia M Kenific
- Children’s Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children’s Health, Meyer Cancer CenterWeill Cornell MedicineNew YorkNYUSA
| | - Haiying Zhang
- Children’s Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children’s Health, Meyer Cancer CenterWeill Cornell MedicineNew YorkNYUSA
| | - David Lyden
- Children’s Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children’s Health, Meyer Cancer CenterWeill Cornell MedicineNew YorkNYUSA
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40
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Yin Y, Shen H. Common methods in mitochondrial research (Review). Int J Mol Med 2022; 50:126. [PMID: 36004457 PMCID: PMC9448300 DOI: 10.3892/ijmm.2022.5182] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 08/09/2022] [Indexed: 01/18/2023] Open
Affiliation(s)
- Yiyuan Yin
- Department of Emergency Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China
| | - Haitao Shen
- Department of Emergency Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China
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41
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Gongye X, Tian M, Xia P, Qu C, Chen Z, Wang J, Zhu Q, Li Z, Yuan Y. Multi-omics analysis revealed the role of extracellular vesicles in hepatobiliary & pancreatic tumor. J Control Release 2022; 350:11-25. [PMID: 35963466 DOI: 10.1016/j.jconrel.2022.08.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 12/24/2022]
Abstract
Liquid biopsy is rapidly growing into a hot research field due to its unique advantages of minimal invasiveness, and extracellular vesicle (EVs) are also expected to become an important pillar in the diagnostic technology system as a newly discovered active substance carrier. More and more research has highlighted the important contribution of EVs in the progress of tumor. Molecular changes during disease progression could be detected in EVs. However, the diagnostic applications of EVs are not generally understood. Combined with the characteristics of hepatobiliary and pancreatic tumor, we summarized the recent developments in various omics analysis of EVs. Furtherly, we explored the role of EVs in the early diagnosis of hepatobiliary and pancreatic tumors by multi-omics analysis.
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Affiliation(s)
- Xiangdong Gongye
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Hubei, PR China.
| | - Ming Tian
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Hubei, PR China.
| | - Peng Xia
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Hubei, PR China.
| | - Chengmin Qu
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Hubei, PR China.
| | - Zhang Chen
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Hubei, PR China.
| | - Jigang Wang
- Department of Geriatrics, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, PR China.
| | - Qian Zhu
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Hubei, PR China.
| | - Zhijie Li
- Department of Geriatrics, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, PR China.
| | - Yufeng Yuan
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Hubei, PR China.
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Munro MJ, Wickremesekera SK, Tan ST, Peng L. Proteomic analysis of low- and high-grade human colon adenocarcinoma tissues and tissue-derived primary cell lines reveals unique biological functions of tumours and new protein biomarker candidates. Clin Proteomics 2022; 19:27. [PMID: 35842572 PMCID: PMC9287856 DOI: 10.1186/s12014-022-09364-y] [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: 03/04/2022] [Accepted: 06/22/2022] [Indexed: 11/10/2022] Open
Abstract
Background Colon cancer is the third most common cancer and second highest cause of cancer deaths worldwide. The aim of the study was to find new biomarkers for diagnosis, prognosis and therapeutic drug targets for this disease. Methods Four low-grade and four high-grade human colon adenocarcinoma tumours with patient-matched normal colon tissues were analysed. Additionally, tissue-derived primary cell lines were established from each tumour tissue. The cell lines were validated using DNA sequencing to confirm that they are a suitable in vitro model for colon adenocarcinoma based on conserved gene mutations. Label-free quantitation proteomics was performed to compare the proteomes of colon adenocarcinoma samples to normal colon samples, and of colon adenocarcinoma tissues to tissue-derived cell lines to find significantly differentially abundant proteins. The functions enriched within the differentially expressed proteins were assessed using STRING. Proteomics data was validated by Western blotting. Results A total of 4767 proteins were identified across all tissues, and 4711 across primary tissue-derived cell lines. Of these, 3302 proteins were detected in both the tissues and the cell lines. On average, primary cell lines shared about 70% of proteins with their parent tissue, and they retained mutations to key colon adenocarcinoma-related genes and did not diverge far genetically from their parent tissues. Colon adenocarcinoma tissues displayed upregulation of RNA processing, steroid biosynthesis and detoxification, and downregulation of cytoskeletal organisation and loss of normal muscle function. Tissue-derived cell lines exhibited increased interferon-gamma signalling and aberrant ferroptosis. Overall, 318 proteins were significantly up-regulated and 362 proteins significantly down-regulated by comparisons of high-grade with low-grade tumours and low-grade tumour with normal colon tissues from both sample types. Conclusions The differences exhibited between tissues and cell lines highlight the additional information that can be obtained from patient-derived primary cell lines. DNA sequencing and proteomics confirmed that these cell lines can be considered suitable in vitro models of the parent tumours. Various potential biomarkers for colon adenocarcinoma initiation and progression and drug targets were identified and discussed, including seven novel markers: ACSL4, ANK2, AMER3, EXOSC1, EXOSC6, GCLM, and TFRC. Supplementary Information The online version contains supplementary material available at 10.1186/s12014-022-09364-y.
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Affiliation(s)
- Matthew J Munro
- School of Biological Sciences and Centre for Biodiscovery, Victoria University of Wellington, Wellington, 6140, New Zealand.,Gillies McIndoe Research Institute, Newtown, PO Box 7184, Wellington, 6242, New Zealand
| | - Susrutha K Wickremesekera
- Gillies McIndoe Research Institute, Newtown, PO Box 7184, Wellington, 6242, New Zealand.,Upper Gastrointestinal, Hepatobiliary & Pancreatic Section, Department of General Surgery, Wellington Regional Hospital, Wellington, 6021, New Zealand
| | - Swee T Tan
- Gillies McIndoe Research Institute, Newtown, PO Box 7184, Wellington, 6242, New Zealand. .,Wellington Regional Plastic, Maxillofacial & Burns Unit, Hutt Hospital, Lower Hutt, 5040, New Zealand. .,Department of Surgery, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, 3050, Australia.
| | - Lifeng Peng
- School of Biological Sciences and Centre for Biodiscovery, Victoria University of Wellington, Wellington, 6140, New Zealand.
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43
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Zhang X, Takeuchi T, Takeda A, Mochizuki H, Nagai Y. Comparison of serum and plasma as a source of blood extracellular vesicles: Increased levels of platelet-derived particles in serum extracellular vesicle fractions alter content profiles from plasma extracellular vesicle fractions. PLoS One 2022; 17:e0270634. [PMID: 35749554 PMCID: PMC9231772 DOI: 10.1371/journal.pone.0270634] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 06/15/2022] [Indexed: 11/30/2022] Open
Abstract
Extracellular vesicles (EVs) have attracted much attention as potential diagnostic biomarkers for human diseases. Although both plasma and serum are utilized as a source of blood EVs, it remains unclear whether, how and to what extent the choice of plasma and serum affects the experimental results. To address this issue, in this study, we performed comprehensive characterization of EV fractions derived from plasma and serum, and investigated the differences between these blood EVs. We demonstrated by nanoparticle tracking analysis that EV fractions derived from serum contain more particles than those from plasma of mice. Proteomic analysis demonstrated that platelet-associated proteins are selectively enriched in serum EV fractions from both mice and humans. A literature review of proteomic data of human blood EVs reported by other groups further confirmed that selective enrichment of platelet-associated proteins is commonly observed in serum EVs, and confers different proteome profiles to plasma EVs. Our data provide experimental evidence that EV fractions derived from serum generally contain additional EVs that are released from platelets, which may qualitatively and quantitatively alter EV profiles when using serum as a source of blood EVs.
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Affiliation(s)
- Xiaoman Zhang
- Department of Neurotherapeutics, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
- Department of Neurology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan
| | - Toshihide Takeuchi
- Department of Neurotherapeutics, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
- Life Science Research Institute, Kindai University, Osaka-Sayama, Osaka, Japan
- PRESTO, Japan Science and Technology Agency (JST), Osaka, Japan
- * E-mail: (TT); (YN)
| | - Akiko Takeda
- Department of Neurotherapeutics, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
- Department of Neurology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan
| | - Hideki Mochizuki
- Department of Neurology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Yoshitaka Nagai
- Department of Neurotherapeutics, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
- Department of Neurology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan
- Department of Neurology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
- * E-mail: (TT); (YN)
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44
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Theragnostic Applications of Mammal and Plant-Derived Extracellular Vesicles: Latest Findings, Current Technologies, and Prospects. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27123941. [PMID: 35745063 PMCID: PMC9228370 DOI: 10.3390/molecules27123941] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/26/2022] [Accepted: 02/11/2022] [Indexed: 11/16/2022]
Abstract
The way cells communicate is not fully understood. However, it is well-known that extracellular vesicles (EVs) are involved. Researchers initially thought that EVs were used by cells to remove cellular waste. It is now clear that EVs function as signaling molecules released by cells to communicate with one another, carrying a cargo representing the mother cell. Furthermore, these EVs can be found in all biological fluids, making them the perfect non-invasive diagnostic tool, as their cargo causes functional changes in the cells upon receiving, unlike synthetic drug carriers. EVs last longer in circulation and instigate minor immune responses, making them the perfect drug carrier. This review sheds light on the latest development in EVs isolation, characterization and, application as therapeutic cargo, novel drug loading techniques, and diagnostic tools. We also address the advancement in plant-derived EVs, their characteristics, and applications; since plant-derived EVs only recently gained focus, we listed the latest findings. Although there is much more to learn about, EV is a wide field of research; what scientists have discovered so far is fascinating. This paper is suitable for those new to the field seeking to understand EVs and those already familiar with it but wanting to review the latest findings.
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45
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Liu C, Wang T, Yang J, Zhang J, Wei S, Guo Y, Yu R, Tan Z, Wang S, Dong W. Distant Metastasis Pattern and Prognostic Prediction Model of Colorectal Cancer Patients Based on Big Data Mining. Front Oncol 2022; 12:878805. [PMID: 35530362 PMCID: PMC9074728 DOI: 10.3389/fonc.2022.878805] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 03/23/2022] [Indexed: 12/24/2022] Open
Abstract
Aims This study aimed to investigate the distant metastasis pattern from newly diagnosed colorectal cancer (CRC) and also construct and validate a prognostic nomogram to predict both overall survival (OS) and cancer-specific survival (CSS) of CRC patients with distant metastases. Methods Primary CRC patients who were initially diagnosed from 2010 to 2016 in the SEER database were included in the analysis. The independent risk factors affecting the OS, CSS, all-cause mortality, and CRC-specific mortality of the patients were screened by the Cox regression and Fine-Gray competitive risk model. The nomogram models were constructed to predict the OS and CSS of the patients. The reliability and accuracy of the prediction model were evaluated by consistency index (C-index) and calibration curve. The gene chip GSE41258 was downloaded from the GEO database, and differentially expressed genes (DEGs) were screened by the GEO2R online tool (p < 0.05, |logFC|>1.5). The Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway and Gene Ontology (GO) annotation and String website were used for enrichment analysis and protein-protein interaction (PPI) analysis of DEGs, respectively, and Cytoscape software was used to construct PPI network and screen function modules and hub genes. Results A total of 57,835 CRC patients, including 47,823 without distant metastases and 10,012 (17.31%) with metastases, were identified. Older age, unmarried status, poorly differentiated or undifferentiated grade, right colon site, larger tumor size, N2 stage, more metastatic sites, and elevated carcinoembryonic antigen (CEA) might lead to poorer prognosis (all p < 0.01). The independent risk factors of OS and CSS were included to construct a prognosis prediction model for predicting OS and CSS in CRC patients with distant metastasis. C-index and calibration curve of the training group and validation group showed that the models had acceptable predictive performance and high calibration degree. Furthermore, by comparing CRC tissues with and without liver metastasis, 158 DEGs and top 10 hub genes were screened. Hub genes were mainly concentrated in liver function and coagulation function. Conclusion The big data in the public database were counted and transformed into a prognostic evaluation tool that could be applied to the clinic, which has certain clinical significance for the formulation of the treatment plan and prognostic evaluation of CRC patients with distant metastasis.
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Affiliation(s)
- Chuan Liu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ting Wang
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jiahui Yang
- Department of Geriatric, West China Hospital of Sichuan University, Chengdu, China
| | - Jixiang Zhang
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shuchun Wei
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yingyun Guo
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Rong Yu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zongbiao Tan
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shuo Wang
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Weiguo Dong
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
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Lin K, Baenke F, Lai X, Schneider M, Helm D, Polster H, Rao VS, Ganig N, Wong FC, Seifert L, Seifert AM, Jahnke B, Kretschmann N, Ziemssen T, Klupp F, Schmidt T, Schneider M, Han Y, Weber TF, Plodeck V, Nebelung H, Schmitt N, Korell F, Köhler BC, Riediger C, Weitz J, Rahbari NN, Kahlert C. Comprehensive proteomic profiling of serum extracellular vesicles in patients with colorectal liver metastases identifies a signature for non-invasive risk stratification and early-response evaluation. Mol Cancer 2022; 21:91. [PMID: 35365178 PMCID: PMC8973547 DOI: 10.1186/s12943-022-01562-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 03/14/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Kuailu Lin
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.,Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Franziska Baenke
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.,German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Partner Site Dresden, Heidelberg, Germany
| | - Xixi Lai
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.,Department of Respiratory and Critical Care Medicine, College of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Martin Schneider
- MS-Based Protein Analysis Unit, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Dominic Helm
- MS-Based Protein Analysis Unit, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Heike Polster
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
| | - Venkatesh S Rao
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
| | - Nicole Ganig
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.,German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Partner Site Dresden, Heidelberg, Germany
| | - Fang Cheng Wong
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
| | - Lena Seifert
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.,German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Partner Site Dresden, Heidelberg, Germany.,National Center for Tumor Diseases (NCT/UCC), Partner Site Dresden, Heidelberg, Germany
| | - Adrian M Seifert
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.,German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Partner Site Dresden, Heidelberg, Germany.,National Center for Tumor Diseases (NCT/UCC), Partner Site Dresden, Heidelberg, Germany
| | - Beatrix Jahnke
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
| | - Nicole Kretschmann
- MS Center, Centre of Clinical Neuroscience, Department of Neurology, Carl Gustav Carus University Hospital Dresden, Dresden, Germany
| | - Tjalf Ziemssen
- MS Center, Centre of Clinical Neuroscience, Department of Neurology, Carl Gustav Carus University Hospital Dresden, Dresden, Germany
| | - Fee Klupp
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Thomas Schmidt
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, Heidelberg, Germany.,Klinik Für Allgemein, Viszeral-, Tumor- Und Transplantationschirurgie, Universitätklinikum Köln, Kerpener Str. 62, 50937, Köln, Germany
| | - Martin Schneider
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Yi Han
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
| | - Tim F Weber
- Diagnostic and Interventional Radiology (DiR), Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany
| | - Verena Plodeck
- Department of Diagnostic and Interventional Radiology, Carl Gustav Carus University Hospital Dresden, Dresden, Germany
| | - Heiner Nebelung
- Department of Diagnostic and Interventional Radiology, Carl Gustav Carus University Hospital Dresden, Dresden, Germany
| | - Nathalie Schmitt
- Department of Medical Oncology, National Center for Tumour Diseases, Liver Cancer Centre Heidelberg, University Hospital Heidelberg, University Hospital Heidelberg, Heidelberg, Germany
| | - Felix Korell
- Department of Medical Oncology, National Center for Tumour Diseases, Liver Cancer Centre Heidelberg, University Hospital Heidelberg, University Hospital Heidelberg, Heidelberg, Germany.,Department of Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Bruno C Köhler
- Department of Medical Oncology, National Center for Tumour Diseases, Liver Cancer Centre Heidelberg, University Hospital Heidelberg, University Hospital Heidelberg, Heidelberg, Germany.,German Cancer Consortium (DKTK), 69120, Heidelberg, Germany
| | - Carina Riediger
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
| | - Jürgen Weitz
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.,German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Partner Site Dresden, Heidelberg, Germany.,National Center for Tumor Diseases (NCT/UCC), Partner Site Dresden, Heidelberg, Germany
| | - Nuh N Rahbari
- Department of Surgery, Medical Faculty Mannheim, University Medicine Mannheim, University of Heidelberg, 68167, Mannheim, Germany.
| | - Christoph Kahlert
- Department of Visceral, Thoracic and Vascular Surgery, Carl Gustav Carus University Hospital Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany. .,German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Partner Site Dresden, Heidelberg, Germany. .,National Center for Tumor Diseases (NCT/UCC), Partner Site Dresden, Heidelberg, Germany.
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47
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Wang T, Xing Y, Cheng Z, Yu F. Analysis of Single Extracellular Vesicles for Biomedical Applications with Especial Emphasis on Cancer Investigations. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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48
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Bi X, Liu W, Ding X, Liang S, Zheng Y, Zhu X, Quan S, Yi X, Xiang N, Du J, Lyu H, Yu D, Zhang C, Xu L, Ge W, Zhan X, He J, Xiong Z, Zhang S, Li Y, Xu P, Zhu G, Wang D, Zhu H, Chen S, Li J, Zhao H, Zhu Y, Liu H, Xu J, Shen B, Guo T. Proteomic and metabolomic profiling of urine uncovers immune responses in patients with COVID-19. Cell Rep 2022; 38:110271. [PMID: 35026155 PMCID: PMC8712267 DOI: 10.1016/j.celrep.2021.110271] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 11/15/2021] [Accepted: 12/23/2021] [Indexed: 12/19/2022] Open
Abstract
The utility of the urinary proteome in infectious diseases remains unclear. Here, we analyzed the proteome and metabolome of urine and serum samples from patients with COVID-19 and healthy controls. Our data show that urinary proteins effectively classify COVID-19 by severity. We detect 197 cytokines and their receptors in urine, but only 124 in serum using TMT-based proteomics. The decrease in urinary ESCRT complex proteins correlates with active SARS-CoV-2 replication. The downregulation of urinary CXCL14 in severe COVID-19 cases positively correlates with blood lymphocyte counts. Integrative multiomics analysis suggests that innate immune activation and inflammation triggered renal injuries in patients with COVID-19. COVID-19-associated modulation of the urinary proteome offers unique insights into the pathogenesis of this disease. This study demonstrates the added value of including the urinary proteome in a suite of multiomics analytes in evaluating the immune pathobiology and clinical course of COVID-19 and, potentially, other infectious diseases.
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Affiliation(s)
- Xiaojie Bi
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Wei Liu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China; Westlake Omics (Hangzhou) Biotechnology, Hangzhou 310024, China
| | - Xuan Ding
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Shuang Liang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Yufen Zheng
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Xiaoli Zhu
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Sheng Quan
- Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China
| | - Xiao Yi
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China; Westlake Omics (Hangzhou) Biotechnology, Hangzhou 310024, China
| | - Nan Xiang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China; Westlake Omics (Hangzhou) Biotechnology, Hangzhou 310024, China
| | - Juping Du
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Haiyan Lyu
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Die Yu
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Chao Zhang
- Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China
| | - Luang Xu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Weigang Ge
- Westlake Omics (Hangzhou) Biotechnology, Hangzhou 310024, China
| | - Xinke Zhan
- Westlake Omics (Hangzhou) Biotechnology, Hangzhou 310024, China
| | - Jiale He
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Zi Xiong
- Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China
| | - Shun Zhang
- Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China
| | - Yanchang Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Research Unit of Proteomics & Research and Development of New Drug of Chinese Academy of Medical Sciences, Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Ping Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Research Unit of Proteomics & Research and Development of New Drug of Chinese Academy of Medical Sciences, Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Guangjun Zhu
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Donglian Wang
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Hongguo Zhu
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Shiyong Chen
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Jun Li
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Haihong Zhao
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Yi Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.
| | - Huafen Liu
- Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China.
| | - Jiaqin Xu
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
| | - Bo Shen
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
| | - Tiannan Guo
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.
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49
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Li H, Cai E, Cheng H, Ye X, Ma R, Zhu H, Chang X. FGA Controls VEGFA Secretion to Promote Angiogenesis by Activating the VEGFR2-FAK Signalling Pathway. Front Endocrinol (Lausanne) 2022; 13:791860. [PMID: 35498401 PMCID: PMC9043601 DOI: 10.3389/fendo.2022.791860] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 03/15/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Our previous work revealed the high expression of fibrinogen alpha chain (FGA) in patients with endometriosis (EM) and that it could promote the migration and invasion of endometrial stromal cells. Angiogenesis is the key condition for the development of EM. This study was aimed to elucidate the role of FGA in endometrial stromal cells involved in angiogenesis in EM. METHODS Immunohistochemistry was used to detect the microvessel density (MVD) and VEGF expression in the eutopic endometrium samples from EM and non-EM. The conditioned medium (CM) of human primary eutopic endometrial stromal cells (EuESC) and immortalized endometrial stromal cell line hEM15A with FGA knockdown were collected and used to treat human umbilical vein endothelial cells (HUVECs). Then, tube formation assay, EdU assay, wound assay, transwell assay and flow cytometry assays were performed to assess the function of HUEVCs in vitro. The angiogenic capability of HUVECs was further measured using a matrigel plug assay with BALB/c nude mice in vivo. Immunofluorescence was used to detect the expression of F-actin and VE-cadherin. RT-PCR and western blotting were used to detect the expression of angiogenesis-related factors in endometrial stromal cells and downstream signalling pathways in HUVECs. RESULTS MVD and VEGF expression in the eutopic endometrium of EM patients were significantly higher than those in the normal endometrium of non-EM patients, and the increased MVD in EM indicates an increased risk of recurrence. Functionally, we found that CM of endometrial stromal cells with FGA knockdown could inhibit HUEVCs migration and tube formation in vitro and in vivo, while having no significant effect on HUVECs proliferation, apoptosis and cell cycle. Mechanically, the expression of VEGFA, PDGF, FGF-B, VEGF, MMP-2 and MMP-9 was reduced in hEM15A cells with FGA knockdown. CM of hEM15A cells with FGA knockdown reduced the number of microfilaments and pseudopodia, as well as the expression of VE-cadherin, and inhibited the activity of VEGFR2 and the FAK signalling pathway in HUVECs. CONCLUSION Our study demonstrated FGA could enhance the interaction between endometrial stromal cells and HUVECs via the potential VEGA-VEGFR-FAK signalling axis and promote EM angiogenesis, revealing a promising therapeutic approach for EM.
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Affiliation(s)
- Hui Li
- Department of Obstetrics and Gynaecology, Peking University People’s Hospital, Beijing, China
- Center of Gynaecological Oncology, Peking University People’s Hospital, Beijing, China
| | - E. Cai
- Department of Obstetrics and Gynaecology, Peking University People’s Hospital, Beijing, China
- Center of Gynaecological Oncology, Peking University People’s Hospital, Beijing, China
| | - Hongyan Cheng
- Department of Obstetrics and Gynaecology, Peking University People’s Hospital, Beijing, China
- Center of Gynaecological Oncology, Peking University People’s Hospital, Beijing, China
| | - Xue Ye
- Department of Obstetrics and Gynaecology, Peking University People’s Hospital, Beijing, China
- Center of Gynaecological Oncology, Peking University People’s Hospital, Beijing, China
| | - Ruiqiong Ma
- Department of Obstetrics and Gynaecology, Peking University People’s Hospital, Beijing, China
- Center of Gynaecological Oncology, Peking University People’s Hospital, Beijing, China
| | - Honglan Zhu
- Department of Obstetrics and Gynaecology, Peking University People’s Hospital, Beijing, China
- *Correspondence: Xiaohong Chang, ; Honglan Zhu,
| | - Xiaohong Chang
- Department of Obstetrics and Gynaecology, Peking University People’s Hospital, Beijing, China
- Center of Gynaecological Oncology, Peking University People’s Hospital, Beijing, China
- *Correspondence: Xiaohong Chang, ; Honglan Zhu,
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50
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Niu L, Gao C, Li Y. Identification of potential core genes in colorectal carcinoma and key genes in colorectal cancer liver metastasis using bioinformatics analysis. Sci Rep 2021; 11:23938. [PMID: 34907282 PMCID: PMC8671463 DOI: 10.1038/s41598-021-03395-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 12/02/2021] [Indexed: 12/28/2022] Open
Abstract
Colorectal carcinoma (CRC) is one of the most prevalent malignant tumors worldwide. Meanwhile, the majority of CRC related deaths results from liver metastasis. Gene expression profile of CRC patients with liver Metastasis was identified using 4 datasets. The data was analyzed using GEO2R tool. GO and KEGG pathway analysis were performed. PPI network of the DEGs between 1 and 2 gene sets was also constructed. The set 1 is named between primary CRC tissues and metastatic CRC tissues. The set 2 is named between primary CRC tissues and normal tissues. Finally, the prognostic value of hub genes was also analyzed. 35 DEGs (set 1) and 142 DEGs (set 2) were identified between CRC liver metastatic cancer patients. The PPI network was constructed using the top 10 set 1 hub genes which included AHSG, SERPINC1, FGA, F2, CP, ITIH2, APOA2, HPX, PLG, HRG and set 2 hub genes which included TIMP1, CXCL1, COL1A2, MMP1, AURKA, UBE2C, CXCL12, TOP2A, ALDH1A1 and PRKACB. Therefore, ITIH2 might represent the potential core gene for colon cancer liver metastasis. COL1A2 behaves as a key gene in colorectal carcinoma.
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Affiliation(s)
- Lipeng Niu
- Graduate School, Hebei North University, Zhangjiakou, 075000, Hebei, China
| | - Ce Gao
- Fuyong People's Hospital, Shenzhen, Guangdong, 518103, China
| | - Yang Li
- Shihua Residential District Community Health Service Center, 12th Xiangzhou Road, Jinshan District, Shanghai, 201500, Shanghai, China.
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