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Wang W, Zhen S, Ping Y, Wang L, Zhang Y. Metabolomic biomarkers in liquid biopsy: accurate cancer diagnosis and prognosis monitoring. Front Oncol 2024; 14:1331215. [PMID: 38384814 PMCID: PMC10879439 DOI: 10.3389/fonc.2024.1331215] [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: 10/31/2023] [Accepted: 01/26/2024] [Indexed: 02/23/2024] Open
Abstract
Liquid biopsy, a novel detection method, has recently become an active research area in clinical cancer owing to its unique advantages. Studies on circulating free DNA, circulating tumor cells, and exosomes obtained by liquid biopsy have shown great advances and they have entered clinical practice as new cancer biomarkers. The metabolism of the body is dynamic as cancer originates and progresses. Metabolic abnormalities caused by cancer can be detected in the blood, sputum, urine, and other biological fluids via systemic or local circulation. A considerable number of recent studies have focused on the roles of metabolic molecules in cancer. The purpose of this review is to provide an overview of metabolic markers from various biological fluids in the latest clinical studies, which may contribute to cancer screening and diagnosis, differentiation of cancer typing, grading and staging, and prediction of therapeutic response and prognosis.
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Affiliation(s)
- Wenqian Wang
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
| | - Shanshan Zhen
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
| | - Yu Ping
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
| | - Liping Wang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yi Zhang
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
- State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, Henan, China
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Kwok B, Wu BG, Kocak IF, Sulaiman I, Schluger R, Li Y, Anwer R, Goparaju C, Ryan DJ, Sagatelian M, Dreier MS, Murthy V, Rafeq S, Michaud GC, Sterman DH, Bessich JL, Pass HI, Segal LN, Tsay JCJ. Pleural fluid microbiota as a biomarker for malignancy and prognosis. Sci Rep 2023; 13:2229. [PMID: 36755121 PMCID: PMC9908925 DOI: 10.1038/s41598-023-29001-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 01/27/2023] [Indexed: 02/10/2023] Open
Abstract
Malignant pleural effusions (MPE) complicate malignancies and portend worse outcomes. MPE is comprised of various components, including immune cells, cancer cells, and cell-free DNA/RNA. There have been investigations into using these components to diagnose and prognosticate MPE. We hypothesize that the microbiome of MPE is unique and may be associated with diagnosis and prognosis. We compared the microbiota of MPE against microbiota of pleural effusions from non-malignant and paramalignant states. We collected a total of 165 pleural fluid samples from 165 subjects; Benign (n = 16), Paramalignant (n = 21), MPE-Lung (n = 57), MPE-Other (n = 22), and Mesothelioma (n = 49). We performed high throughput 16S rRNA gene sequencing on pleural fluid samples and controls. We showed that there are compositional differences among pleural effusions related to non-malignant, paramalignant, and malignant disease. Furthermore, we showed differential enrichment of bacterial taxa within MPE depending on the site of primary malignancy. Pleural fluid of MPE-Lung and Mesothelioma were associated with enrichment with oral and gut bacteria that are commonly thought to be commensals, including Rickettsiella, Ruminococcus, Enterococcus, and Lactobacillales. Mortality in MPE-Lung is associated with enrichment in Methylobacterium, Blattabacterium, and Deinococcus. These observations lay the groundwork for future studies that explore host-microbiome interactions and their influence on carcinogenesis.
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Affiliation(s)
- Benjamin Kwok
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
| | - Benjamin G Wu
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
- Division of Pulmonary and Critical Care Medicine, Veterans Affairs New York Harbor Healthcare System, New York, NY, USA
| | - Ibrahim F Kocak
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
| | - Imran Sulaiman
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
- Department of Respiratory Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
- Department of Respiratory Medicine, Beaumont Hospital, Dublin, Ireland
| | - Rosemary Schluger
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
| | - Yonghua Li
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
| | - Raheel Anwer
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
| | - Chandra Goparaju
- Department of Cardiothoracic Surgery, New York University Grossman School of Medicine, New York, NY, USA
| | - Daniel J Ryan
- Department of Respiratory Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
- Department of Respiratory Medicine, Beaumont Hospital, Dublin, Ireland
| | - Marla Sagatelian
- School of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Matthew S Dreier
- New York University Grossman School of Medicine, New York, NY, USA
| | - Vivek Murthy
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
- Department of Cardiothoracic Surgery, New York University Grossman School of Medicine, New York, NY, USA
| | - Samaan Rafeq
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
- Department of Cardiothoracic Surgery, New York University Grossman School of Medicine, New York, NY, USA
| | - Gaetane C Michaud
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of South Florida Health, Tampa, FL, USA
| | - Daniel H Sterman
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
- Department of Cardiothoracic Surgery, New York University Grossman School of Medicine, New York, NY, USA
| | - Jamie L Bessich
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
- Department of Cardiothoracic Surgery, New York University Grossman School of Medicine, New York, NY, USA
| | - Harvey I Pass
- Department of Cardiothoracic Surgery, New York University Grossman School of Medicine, New York, NY, USA
| | - Leopoldo N Segal
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA
| | - Jun-Chieh J Tsay
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, 462 First Avenue 7N21, New York, NY, 10016, USA.
- Division of Pulmonary and Critical Care Medicine, Veterans Affairs New York Harbor Healthcare System, New York, NY, USA.
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Zahedi S, Carvalho AS, Ejtehadifar M, Beck HC, Rei N, Luis A, Borralho P, Bugalho A, Matthiesen R. Assessment of a Large-Scale Unbiased Malignant Pleural Effusion Proteomics Study of a Real-Life Cohort. Cancers (Basel) 2022; 14:cancers14184366. [PMID: 36139528 PMCID: PMC9496668 DOI: 10.3390/cancers14184366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 08/29/2022] [Accepted: 09/01/2022] [Indexed: 11/29/2022] Open
Abstract
Simple Summary Pleural effusion (PE) occurs as a consequence of various pathologies. Malignant effusion due to lung cancer is one of the most frequent causes. A method for accurate differentiation of malignant from benign PE is an unmet clinical need. Proteomics profiling of PE has shown promising results. However, mass spectrometry (MS) analysis typically involves the tedious elimination of abundant proteins before analysis, and clinical annotation of proteomics profiled cohorts is limited. This study compares the proteomes of malignant PE and nonmalignant PE, identifies lung cancer malignant markers in agreement with other studies, and identifies markers strongly associated with patient survival. Abstract Background: Pleural effusion (PE) is common in advanced-stage lung cancer patients and is related to poor prognosis. Identification of cancer cells is the standard method for the diagnosis of a malignant PE (MPE). However, it only has moderate sensitivity. Thus, more sensitive diagnostic tools are urgently needed. Methods: The present study aimed to discover potential protein targets to distinguish malignant pleural effusion (MPE) from other non-malignant pathologies. We have collected PE from 97 patients to explore PE proteomes by applying state-of-the-art liquid chromatography-mass spectrometry (LC-MS) to identify potential biomarkers that correlate with immunohistochemistry assessment of tumor biopsy or with survival data. Functional analyses were performed to elucidate functional differences in PE proteins in malignant and benign samples. Results were integrated into a clinical risk prediction model to identify likely malignant cases. Sensitivity, specificity, and negative predictive value were calculated. Results: In total, 1689 individual proteins were identified by MS-based proteomics analysis of the 97 PE samples, of which 35 were diagnosed as malignant. A comparison between MPE and benign PE (BPE) identified 58 differential regulated proteins after correction of the p-values for multiple testing. Furthermore, functional analysis revealed an up-regulation of matrix intermediate filaments and cellular movement-related proteins. Additionally, gene ontology analysis identified the involvement of metabolic pathways such as glycolysis/gluconeogenesis, pyruvate metabolism and cysteine and methionine metabolism. Conclusion: This study demonstrated a partial least squares regression model with an area under the curve of 98 and an accuracy of 0.92 when evaluated on the holdout test data set. Furthermore, highly significant survival markers were identified (e.g., PSME1 with a log-rank of 1.68 × 10−6).
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Affiliation(s)
- Sara Zahedi
- iNOVA4Health, NOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade Nova de Lisboa, 1150-082 Lisbon, Portugal
| | - Ana Sofia Carvalho
- iNOVA4Health, NOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade Nova de Lisboa, 1150-082 Lisbon, Portugal
| | - Mostafa Ejtehadifar
- iNOVA4Health, NOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade Nova de Lisboa, 1150-082 Lisbon, Portugal
| | - Hans C. Beck
- Department of Clinical Biochemistry, Odense University Hospital, 5000 Odense, Denmark
| | - Nádia Rei
- iNOVA4Health, NOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade Nova de Lisboa, 1150-082 Lisbon, Portugal
| | - Ana Luis
- Hospital CUF Descobertas, CUF Oncologia, 1998-018 Lisbon, Portugal
| | - Paula Borralho
- Hospital CUF Descobertas, CUF Oncologia, 1998-018 Lisbon, Portugal
| | - António Bugalho
- iNOVA4Health, NOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade Nova de Lisboa, 1150-082 Lisbon, Portugal
- Hospital CUF Descobertas, CUF Oncologia, 1998-018 Lisbon, Portugal
- Correspondence: (A.B.); (R.M.)
| | - Rune Matthiesen
- iNOVA4Health, NOVA Medical School (NMS), Faculdade de Ciências Médicas (FCM), Universidade Nova de Lisboa, 1150-082 Lisbon, Portugal
- Correspondence: (A.B.); (R.M.)
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Zhao J, Xu L, Dong Z, Zhang Y, Cao J, Yao J, Xing J. The LncRNA DUXAP10 Could Function as a Promising Oncogene in Human Cancer. Front Cell Dev Biol 2022; 10:832388. [PMID: 35186937 PMCID: PMC8850700 DOI: 10.3389/fcell.2022.832388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 01/18/2022] [Indexed: 11/13/2022] Open
Abstract
Cancer is one of the most prevalent and deadliest diseases globally, with an increasing morbidity of approximately 14 million new cancer cases per year. Identifying novel diagnostic and prognostic biomarkers for cancers is important for developing cancer therapeutic strategies and lowering mortality rates. Long noncoding RNAs (lncRNAs) represent a group of noncoding RNAs of more than 200 nucleotides that have been shown to participate in the development of human cancers. The novel lncRNA DUXAP10 was newly reported to be abnormally overexpressed in several cancers and positively correlated with poor clinical characteristics of cancer patients. Multiple studies have found that DUXAP10 widely regulates vital biological functions related to the development and progression of cancers, including cell proliferation, apoptosis, invasion, migration, and stemness, through different molecular mechanisms. The aim of this review was to recapitulate current findings regarding the roles of DUXAP10 in cancers and evaluate the potential of DUXAP10 as a novel biomarker for cancer diagnosis, treatment, and prognostic assessment.
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Affiliation(s)
- Junjie Zhao
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lixia Xu
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zihui Dong
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yize Zhang
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junhua Cao
- Department of Plastic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Yao
- Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jiyuan Xing
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Jiyuan Xing,
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