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Zhao Y, Zhao L, Jin H, Xie Y, Chen L, Zhang W, Dong L, Zhang L, Huang Y, Wan K, Yang Q, Wang S. Plasma methylated GNB4 and Riplet as a novel dual-marker panel for the detection of hepatocellular carcinoma. Epigenetics 2024; 19:2299044. [PMID: 38154055 PMCID: PMC10761049 DOI: 10.1080/15592294.2023.2299044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 12/19/2023] [Indexed: 12/30/2023] Open
Abstract
Early detection of hepatocellular carcinoma (HCC) can greatly improve the survival rate of patients. We aimed to develop a novel marker panel based on cell-free DNA (cfDNA) methylation for the detection of HCC. The differentially methylated CpG sites (DMCs) specific for HCC blood diagnosis were selected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, then validated by the whole genome bisulphite sequencing (WGBS) of 12 paired HCC and paracancerous tissues. The clinical performance of the panel was evaluated using tissue samples [32 HCC, chronic liver disease (CLD), and healthy individuals] and plasma cohorts (173 HCC, 199 CLD, and 98 healthy individuals). The combination of G protein subunit beta 4 (GNB4) and Riplet had the optimal area under the curve (AUC) in seven candidates through TCGA, GEO, and WGBS analyses. In tissue validation, the GNB4 and Riplet showed an AUC of 100% with a sensitivity and specificity of 100% for detecting any-stage HCC. In plasma, it demonstrated a high sensitivity of 84.39% at 91.92% specificity, with an AUC of 92.51% for detecting any-stage HCC. The dual-marker panel had a higher sensitivity of 78.26% for stage I HCC than alpha-fetoprotein (AFP) of 47.83%, and a high sensitivity of 70.27% for detecting a single tumour (size ≤3 cm). In conclusion, we developed a novel dual-marker panel that demonstrates high accuracy in detecting HCC, surpassing the performance of AFP testing.
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Affiliation(s)
- Yanteng Zhao
- Department of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lei Zhao
- Plastic maxillofacial surgery, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi, China
| | - Huifang Jin
- Department of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ying Xie
- Department of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Liyinghui Chen
- Department of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Wei Zhang
- Research and development department, Wuhan Ammunition Life-tech Company, Ltd., Wuhan, Hubei, China
| | - Lanlan Dong
- Research and development department, Wuhan Ammunition Life-tech Company, Ltd., Wuhan, Hubei, China
| | - Lianglu Zhang
- Research and development department, Wuhan Ammunition Life-tech Company, Ltd., Wuhan, Hubei, China
| | - Yue Huang
- Research and development department, Wuhan Ammunition Life-tech Company, Ltd., Wuhan, Hubei, China
| | - Kangkang Wan
- Research and development department, Wuhan Ammunition Life-tech Company, Ltd., Wuhan, Hubei, China
| | - Qiankun Yang
- Department of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shaochi Wang
- Translational Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Xu F, Tan X, Wang J, Lu S, Ding H, Xue M, Chen Y, Wang S, Teng J, Shi Y, Song Z. Cell-free DNA predicts all-cause mortality of sepsis-induced acute kidney injury. Ren Fail 2024; 46:2273422. [PMID: 38419570 PMCID: PMC10906115 DOI: 10.1080/0886022x.2023.2273422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 10/16/2023] [Indexed: 03/02/2024] Open
Abstract
Background Sepsis-induced acute kidney injury (S-AKI) is a common complication in critically ill patients. Therefore, reliable biomarkers for predicting S-AKI outcomes are necessary. Serum cell-free DNA (cfDNA) is a circulating extracellular DNA fragment used as a noninvasive screening tool for many diseases, including sepsis. This study aimed to investigate the prognostic value of cfDNA in S-AKI patients and its relationship with some other parameters.Methods A total of 89 S-AKI patients admitted to the intensive care unit (ICU) from June 2021 to December 2021 were enrolled in this study. The patients were categorized into the low cfDNA group (< 855 ng/ml) and high cfDNA group (≥ 855 ng/ml) and were followed up for three months. CfDNA was extracted from serum and quantified using Quant-iT PicoGreen dsDNA Reagent.Results Overall survival was significantly lower in the high cfDNA group than in the low cfDNA group (Log-Rank p = 0.012). Univariate Cox proportional hazard model showed that cfDNA was significantly associated with all-cause mortality (HR [hazard ratio] 2.505, 95% CI [95% confidence interval] 1.184-5.298, p = 0.016). Also, serum cfDNA was a significant risk factor for all-cause mortality after adjusting for covariates (HR 2.191, 95% CI 1.017-4.721, p = 0.045). Moreover, cfDNA was positively correlated with several baseline parameters, including serum creatine, aspartate aminotransferase, alanine aminotransferase, prothrombin time, and International Normalized Ratio.Conclusion High serum cfDNA level is associated with higher mortality among the S-AKI population, indicating that cfDNA is a valuable biomarker for S-AKI prognosis.
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Affiliation(s)
- Feixiang Xu
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiao Tan
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jianli Wang
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Su Lu
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hailin Ding
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mingming Xue
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yumei Chen
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Sheng Wang
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Teng
- Department of Nephrology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
- Nephrology Clinical Quality Control Center of Xiamen, Xiamen, China
| | - Yiqin Shi
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhenju Song
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
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3
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Keller MB, Newman D, Alnababteh M, Ponor L, Shah P, Matthews J, Kong H, Andargie T, Park W, Charya A, Luikart H, Aryal S, Nathan SD, Orens JB, Khush KK, Jang M, Agbor-Enoh S. Extreme elevations of donor-derived cell-free DNA increases the risk of chronic lung allograft dysfunction and death, even without clinical manifestations of disease. J Heart Lung Transplant 2024:S1053-2498(24)01644-9. [PMID: 38705500 DOI: 10.1016/j.healun.2024.04.064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/11/2024] [Accepted: 04/25/2024] [Indexed: 05/07/2024] Open
Abstract
BACKGROUND Lung transplant recipients are traditionally monitored with pulmonary function testing (PFT) and lung biopsy to detect post-transplant complications and guide treatment. Plasma donor-derived cell free DNA (dd-cfDNA) is a novel molecular approach of assessing allograft injury, including subclinical allograft dysfunction. The aim of this study was to determine if episodes of extreme molecular injury (EMI) in lung transplant recipients increases the risk of CLAD or death. METHODS This multicenter prospective cohort study included 238 lung transplant recipients. Serial plasma samples were collected for dd-cfDNA measurement by shotgun sequencing. EMI was defined as a dd-cfDNA above the third quartile of levels observed for acute rejection (dd-cfDNA level of ≥ 5% occurring after 45 days post-transplant). EMI was categorized as Secondary if associated with co-existing acute rejection, infection or PFT decline; or Primary if not associated to these conditions. RESULTS EMI developed in 16% of patients at a median 343.5 (IQR: 177.3-535.5) days post-transplant. Over 50% of EMI episodes were classified as Primary. EMI was associated with an increased risk of severe CLAD or death (HR: 2.52, 95% CI: 1.10 - 3.82, p= 0.024). The risk remained consistent for Primary EMI (HR: 2.34, 95% CI 1.18-4.85, p=0.015). Time to first EMI episode was a significant predictor of the likelihood of developing CLAD or death (AUC=0.856, 95% CI =.805-908, p<.001). CONCLUSIONS Episodes of EMI in lung transplant recipients are often isolated and not detectable with traditional clinical monitoring approaches. EMI is associated with an increased risk of severe CLAD or death, independent of concomitant transplant complications.
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Affiliation(s)
- Michael B Keller
- Laborarory of Applied Precision Omics (APO) National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD; Genomic Research Alliance for Transplantation (GRAfT); Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD; Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore MD
| | - David Newman
- College of Nursing, Florida Atlantic University, FL
| | - Muhtadi Alnababteh
- Laborarory of Applied Precision Omics (APO) National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD; Genomic Research Alliance for Transplantation (GRAfT); Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Lucia Ponor
- Genomic Research Alliance for Transplantation (GRAfT); Division of Hospital Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD
| | - Pali Shah
- Genomic Research Alliance for Transplantation (GRAfT); Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore MD
| | - Joby Matthews
- Genomic Research Alliance for Transplantation (GRAfT); Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore MD
| | - Hyesik Kong
- Laborarory of Applied Precision Omics (APO) National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD; Genomic Research Alliance for Transplantation (GRAfT)
| | - Temesgen Andargie
- Laborarory of Applied Precision Omics (APO) National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD; Genomic Research Alliance for Transplantation (GRAfT)
| | - Woojin Park
- Laborarory of Applied Precision Omics (APO) National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD; Genomic Research Alliance for Transplantation (GRAfT)
| | - Ananth Charya
- Division of Pulmonary and Critical Care Medicine, University of Maryland Medical Center, Baltimore MD
| | - Helen Luikart
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA; Department of Pathology, Stanford University School of Medicine, Palo Alto, CA
| | - Shambhu Aryal
- Genomic Research Alliance for Transplantation (GRAfT); Inova Fairfax Hospital, Falls Church, VA
| | - Steven D Nathan
- Genomic Research Alliance for Transplantation (GRAfT); Inova Fairfax Hospital, Falls Church, VA
| | - Jonathan B Orens
- Genomic Research Alliance for Transplantation (GRAfT); Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore MD
| | - Kiran K Khush
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA
| | - Moon Jang
- Laborarory of Applied Precision Omics (APO) National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD; Genomic Research Alliance for Transplantation (GRAfT)
| | - Sean Agbor-Enoh
- Laborarory of Applied Precision Omics (APO) National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD; Genomic Research Alliance for Transplantation (GRAfT); Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore MD.
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Drejeriene I, Cicenas S, Stanciute D, Krasauskas A, Gruode J. Detection of Oncogene Hotspot Mutations in Female NSCLC Tumor DNA and Cell-Free DNA. Cancers (Basel) 2024; 16:1770. [PMID: 38730722 PMCID: PMC11083023 DOI: 10.3390/cancers16091770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 04/16/2024] [Accepted: 04/21/2024] [Indexed: 05/13/2024] Open
Abstract
Non-small-cell lung cancer (NSCLC) is the most prevalent type of lung cancer, with extensively characterized mutational spectra. Several biomarkers (such as EGFR, BRAF, KRAS gene mutations, etc.) have emerged as predictive and prognostic markers for NSCLC. Unfortunately, the quality of the available tumor biopsy and/or cytology material is not always adequate to perform the necessary molecular testing, prompting the search for alternatives. Cell-free DNA (cfDNA) found in plasma is emerging as a highly promising avenue or a supplementary method for assessing the efficacy of cancer treatments. This is especially valuable in instances where conventional biopsy specimens, like formalin-fixed, paraffin-embedded (FFPE), or freshly frozen tumor tissues prove inadequate for conducting molecular pathology analyses subsequent to the initial diagnostic procedures. By leveraging cfDNA from plasma, clinicians gain an additional tool to gauge the effectiveness of cancer therapies, thereby enhancing their ability to optimize tailored treatment strategies. In this study, 51 Lithuanian females with NSCLC were analyzed, with adenocarcinoma being the predominant pathology diagnosis in 40 cases (78%). Target mutations were identified in 38 out of 51 patients (74.5%) in tumor tissue samples, while in plasma samples, they were identified in only 10 patients' samples (19.6%). Even though we did not have enough voluminous plasma samples in our study, gene mutations were detected in plasma from ten women, three of whom were diagnosed with early stages of lung cancer (stages I and II). For these patients, the following mutations were detected: deletion in exon 19 of the EGFR gene and single nucleotide polymorphisms in the TP53 and MET genes. All other women were diagnosed with stages III or IV of lung cancer. This indicates that the later stages of cancer contribute more cfDNA in plasma, making extraction less complicated.
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Affiliation(s)
- Ieva Drejeriene
- Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
- Klaipeda University Hospital, 92288 Klaipeda, Lithuania;
| | | | | | - Arnoldas Krasauskas
- Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
- National Cancer Institute, 08406 Vilnius, Lithuania
| | - Jurate Gruode
- Klaipeda University Hospital, 92288 Klaipeda, Lithuania;
- Faculty of Health Science, Klaipeda University, 92294 Klaipeda, Lithuania
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Flory A, Ruiz-Perez CA, Clavere-Graciette AG, Rafalko JM, O'Kell AL, Flesner BK, McLennan LM, Hicks SC, Nakashe P, Phelps-Dunn A, DiMarzio LR, Warren CD, Cohen TA, Chibuk J, Chorny I, Grosu DS, Tsui DWY, Tynan JA, Kruglyak KM. Clinical validation of a blood-based liquid biopsy test integrating cell-free DNA quantification and next-generation sequencing for cancer screening in dogs. J Am Vet Med Assoc 2024; 262:665-673. [PMID: 38324993 DOI: 10.2460/javma.23.10.0564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/05/2024] [Indexed: 02/09/2024]
Abstract
OBJECTIVE To validate the performance of a novel, integrated test for canine cancer screening that combines cell-free DNA quantification with next-generation sequencing (NGS) analysis. SAMPLE Retrospective data from a total of 1,947 cancer-diagnosed and presumably cancer-free dogs were used to validate test performance for the detection of 7 predefined cancer types (lymphoma, hemangiosarcoma, osteosarcoma, leukemia, histiocytic sarcoma, primary lung tumors, and urothelial carcinoma), using independent training and testing sets. METHODS Cell-free DNA quantification data from all samples were analyzed using a proprietary machine learning algorithm to determine a Cancer Probability Index (High, Moderate, or Low). High and Low Probability of Cancer were final result classifications. Moderate cases were additionally analyzed by NGS to arrive at a final classification of High Probability of Cancer (Cancer Signal Detected) or Low Probability of Cancer (Cancer Signal Not Detected). RESULTS Of the 595 dogs in the testing set, 89% (n = 530) received a High or Low Probability result based on the machine learning algorithm; 11% (65) were Moderate Probability, and NGS results were used to assign a final classification. Overall, 87 of 122 dogs with the 7 predefined cancer types were classified as High Probability and 467 of 473 presumably cancer-free dogs were classified as Low Probability, corresponding to a sensitivity of 71.3% for the predefined cancer types at a specificity of 98.7%. CLINICAL RELEVANCE This integrated test offers a novel option to screen for cancer types that may be difficult to detect by physical examination at a dog's wellness visit.
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Affiliation(s)
- Andi Flory
- 1Medical and Clinical Affairs, PetDx, La Jolla, CA
| | | | | | | | | | | | | | | | | | | | | | | | - Todd A Cohen
- 1Medical and Clinical Affairs, PetDx, La Jolla, CA
| | - Jason Chibuk
- 1Medical and Clinical Affairs, PetDx, La Jolla, CA
| | - Ilya Chorny
- 2Information Technology, PetDx, La Jolla, CA
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Wang X, Zhang H, Zhang N, Zhang S, Shuai Y, Miao X, Liu Y, Qiu L, Ren S, Lai S, Han Y, Yao H, Zhang X, Fan F, Sun H, Yi H. Application value of metagenomic next-generation sequencing in hematological patients with high-risk febrile neutropenia. Front Cell Infect Microbiol 2024; 14:1366908. [PMID: 38725449 PMCID: PMC11079123 DOI: 10.3389/fcimb.2024.1366908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 04/08/2024] [Indexed: 05/12/2024] Open
Abstract
Background Metagenomic next-generation sequencing (mNGS) is a novel non-invasive and comprehensive technique for etiological diagnosis of infectious diseases. However, its practical significance has been seldom reported in the context of hematological patients with high-risk febrile neutropenia, a unique patient group characterized by neutropenia and compromised immune responses. Methods This retrospective study evaluated the results of plasma cfDNA sequencing in 164 hematological patients with high-risk febrile neutropenia. We assessed the diagnostic efficacy and clinical impact of mNGS, comparing it with conventional microbiological tests. Results mNGS identified 68 different pathogens in 111 patients, whereas conventional methods detected only 17 pathogen types in 36 patients. mNGS exhibited a significantly higher positive detection rate than conventional methods (67.7% vs. 22.0%, P < 0.001). This improvement was consistent across bacterial (30.5% vs. 9.1%), fungal (19.5% vs. 4.3%), and viral (37.2% vs. 9.1%) infections (P < 0.001 for all comparisons). The anti-infective treatment strategies were adjusted for 51.2% (84/164) of the patients based on the mNGS results. Conclusions mNGS of plasma cfDNA offers substantial promise for the early detection of pathogens and the timely optimization of anti-infective therapies in hematological patients with high-risk febrile neutropenia.
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Affiliation(s)
- Xiao Wang
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Huiye Zhang
- School of Pharmacy, Chengdu Medical College, Chengdu, China
- Department of Pharmacy, Chengdu Eighth People’s Hospital, Chengdu, China
| | - Nan Zhang
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Shan Zhang
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Yanrong Shuai
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Xiaojuan Miao
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Yilan Liu
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Ling Qiu
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Shihui Ren
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Sihan Lai
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Ying Han
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Hao Yao
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Xupai Zhang
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Fangyi Fan
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Haoping Sun
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
| | - Hai Yi
- Department of Hematology, The General Hospital of Western Theater Command, Chengdu, China
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7
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Zafra J, Onieva JL, Oliver J, Garrido-Barros M, González-Hernández A, Martínez-Gálvez B, Román A, Ordóñez-Marmolejo R, Pérez-Ruiz E, Benítez JC, Mesas A, Vera A, Chicas-Sett R, Rueda-Domínguez A, Barragán I. Novel Blood Biomarkers for Response Prediction and Monitoring of Stereotactic Ablative Radiotherapy and Immunotherapy in Metastatic Oligoprogressive Lung Cancer. Int J Mol Sci 2024; 25:4533. [PMID: 38674117 PMCID: PMC11050102 DOI: 10.3390/ijms25084533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/12/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
Up to 80% of patients under immune checkpoint inhibitors (ICI) face resistance. In this context, stereotactic ablative radiotherapy (SABR) can induce an immune or abscopal response. However, its molecular determinants remain unknown. We present early results of a translational study assessing biomarkers of response to combined ICI and SABR (I-SABR) in liquid biopsy from oligoprogressive patients in a prospective observational multicenter study. Cohort A includes metastatic patients in oligoprogression to ICI maintaining the same ICI due to clinical benefit and who receive concomitant SABR. B is a comparative group of oligometastatic patients receiving only SABR. Blood samples are extracted at baseline (T1), after the first (T2) and last (T3) fraction, two months post-SABR (T4) and at further progression (TP). Response is evaluated by iRECIST and defined by the objective response rate (ORR)-complete and partial responses. We assess peripheral blood mononuclear cells (PBMCs), circulating cell-free DNA (cfDNA) and small RNA from extracellular vesicles. Twenty-seven patients could be analyzed (cohort A: n = 19; B: n = 8). Most were males with non-small cell lung cancer and one progressing lesion. With a median follow-up of 6 months, the last ORR was 63% (26% complete and 37% partial response). A decrease in cfDNA from T2 to T3 correlated with a good response. At T2, CD8+PD1+ and CD8+PDL1+ cells were increased in non-responders and responders, respectively. At T2, 27 microRNAs were differentially expressed. These are potential biomarkers of response to I-SABR in oligoprogressive disease.
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Affiliation(s)
- Juan Zafra
- Group of Translational Research in Cancer Immunotherapy (CIMO2), Department of Radiation Oncology, Virgen de la Victoria University Hospital, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain;
- Faculty of Medicine, University of Malaga (UMA), 29071 Málaga, Spain; (J.L.O.); (M.G.-B.); (A.G.-H.)
| | - Juan Luis Onieva
- Faculty of Medicine, University of Malaga (UMA), 29071 Málaga, Spain; (J.L.O.); (M.G.-B.); (A.G.-H.)
- Group of Translational Research in Cancer Immunotherapy (CIMO2), Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria Hospitals, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (J.O.); (B.M.-G.); (E.P.-R.); (J.C.B.)
| | - Javier Oliver
- Group of Translational Research in Cancer Immunotherapy (CIMO2), Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria Hospitals, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (J.O.); (B.M.-G.); (E.P.-R.); (J.C.B.)
| | - María Garrido-Barros
- Faculty of Medicine, University of Malaga (UMA), 29071 Málaga, Spain; (J.L.O.); (M.G.-B.); (A.G.-H.)
- Group of Translational Research in Cancer Immunotherapy (CIMO2), Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria Hospitals, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (J.O.); (B.M.-G.); (E.P.-R.); (J.C.B.)
| | - Andrea González-Hernández
- Faculty of Medicine, University of Malaga (UMA), 29071 Málaga, Spain; (J.L.O.); (M.G.-B.); (A.G.-H.)
- Group of Translational Research in Cancer Immunotherapy (CIMO2), Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria Hospitals, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (J.O.); (B.M.-G.); (E.P.-R.); (J.C.B.)
| | - Beatriz Martínez-Gálvez
- Group of Translational Research in Cancer Immunotherapy (CIMO2), Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria Hospitals, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (J.O.); (B.M.-G.); (E.P.-R.); (J.C.B.)
| | - Alicia Román
- Department of Radiation Oncology, Virgen de la Victoria University Hospital, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (A.R.); (R.O.-M.)
| | - Rafael Ordóñez-Marmolejo
- Department of Radiation Oncology, Virgen de la Victoria University Hospital, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (A.R.); (R.O.-M.)
| | - Elisabeth Pérez-Ruiz
- Group of Translational Research in Cancer Immunotherapy (CIMO2), Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria Hospitals, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (J.O.); (B.M.-G.); (E.P.-R.); (J.C.B.)
| | - José Carlos Benítez
- Group of Translational Research in Cancer Immunotherapy (CIMO2), Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria Hospitals, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (J.O.); (B.M.-G.); (E.P.-R.); (J.C.B.)
| | - Andrés Mesas
- Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria Hospitals, 29010 Málaga, Spain;
| | - Andrés Vera
- Department of Radiation Oncology, Dr Negrín University Hospital, 35010 Las Palmas de Gran Canaria, Spain;
| | - Rodolfo Chicas-Sett
- Department of Radiation Oncology, La Fe University Hospital, 46026 Valencia, Spain;
- Group of Clinical and Translational Cancer Research, Le Fe Health Research Institute, 46026 Valencia, Spain
| | - Antonio Rueda-Domínguez
- Group of Translational Research in Cancer Immunotherapy (CIMO2), Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria Hospitals, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (J.O.); (B.M.-G.); (E.P.-R.); (J.C.B.)
| | - Isabel Barragán
- Group of Translational Research in Cancer Immunotherapy (CIMO2), Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria Hospitals, Institute of Biomedical Research in Malaga (IBIMA), 29010 Málaga, Spain; (J.O.); (B.M.-G.); (E.P.-R.); (J.C.B.)
- Group of Pharmacoepigenetics, Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
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8
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Zhao Y, Shi Y, Shen S, Zhang Y, Wei G, Jin X. Plasma Circulating Cell-Free DNA Facilitated the Detection of an Alveolar Echinococcosis Patient Initially Misdiagnosed as Cystic Echinococcosis: A Case Report. Trop Med Infect Dis 2024; 9:88. [PMID: 38668549 PMCID: PMC11054191 DOI: 10.3390/tropicalmed9040088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/09/2024] [Accepted: 04/15/2024] [Indexed: 04/29/2024] Open
Abstract
Echinococcosis, especially alveolar echinococcosis (AE), is becoming an emerging/re-emerging disease with a growing number of cases reported globally. The diagnosis of echinococcosis is based mainly on imaging, which may be challenging when the image presentation is atypical. We reported one patient with suspected cystic echinococcosis (CE) by imaging. The cell-free DNA (cfDNA) obtained from sequencing the patient's plasma before the operation showed that this patient probably had AE with 45 reads mapped to the Echinococcus multilocularis reference genome (Read-Pairs Per Million = 0.24). The patients underwent surgery, and the pathological result showed that the patient had AE. The conventional polymerase chain reaction (PCR) of her lesion sample extraction also indicated that the infection was caused by Echinococcus multilocularis. The follow-up ultrasound after three months indicated no recurrence. We demonstrated that the differentiation of CE and AE by imaging may not be that easy, with further elaboration on the differentiation between AE and CE in different aspects. We demonstrated that it is possible to use patients' plasma cfDNA mapped to Echinococcus references before the operation to obtain the objective clue of the lesion to facilitate diagnosis.
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Affiliation(s)
- Yanping Zhao
- BGI Research, Shenzhen 518083, China; (Y.Z.); (Y.Z.)
- Department of Hepatobiliary Surgery II, The People’s Hospital of Ganzi Tibetan Autonomous Prefecture, Kangding 626000, China;
| | - Yiyang Shi
- Department of Hepatobiliary Surgery II, The People’s Hospital of Ganzi Tibetan Autonomous Prefecture, Kangding 626000, China;
| | - Shu Shen
- Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu 610041, China;
| | - Yan Zhang
- BGI Research, Shenzhen 518083, China; (Y.Z.); (Y.Z.)
| | - Gengfu Wei
- Department of Hepatobiliary Surgery II, The People’s Hospital of Ganzi Tibetan Autonomous Prefecture, Kangding 626000, China;
| | - Xin Jin
- BGI Research, Shenzhen 518083, China; (Y.Z.); (Y.Z.)
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9
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Shao J, Xu Y, Olsen RJ, Kasparian S, Sun K, Mathur S, Zhang J, He C, Chen SH, Bernicker EH, Li Z. 5-Hydroxymethylcytosine in Cell-Free DNA Predicts Immunotherapy Response in Lung Cancer. Cells 2024; 13:715. [PMID: 38667328 PMCID: PMC11049556 DOI: 10.3390/cells13080715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/04/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
Immune checkpoint inhibitors (ICIs) drastically improve therapeutic outcomes for lung cancer, but accurately predicting individual patient responses to ICIs remains a challenge. We performed the genome-wide profiling of 5-hydroxymethylcytosine (5hmC) in 85 plasma cell-free DNA (cfDNA) samples from lung cancer patients and developed a 5hmC signature that was significantly associated with progression-free survival (PFS). We built a 5hmC predictive model to quantify the 5hmC level and validated the model in the validation, test, and control sets. Low weighted predictive scores (wp-scores) were significantly associated with a longer PFS compared to high wp-scores in the validation [median 7.6 versus 1.8 months; p = 0.0012; hazard ratio (HR) 0.12; 95% confidence interval (CI), 0.03-0.54] and test (median 14.9 versus 3.3 months; p = 0.00074; HR 0.10; 95% CI, 0.02-0.50) sets. Objective response rates in patients with a low or high wp-score were 75.0% (95% CI, 42.8-94.5%) versus 0.0% (95% CI, 0.0-60.2%) in the validation set (p = 0.019) and 80.0% (95% CI, 44.4-97.5%) versus 0.0% (95% CI, 0.0-36.9%) in the test set (p = 0.0011). The wp-scores were also significantly associated with PFS in patients receiving single-agent ICI treatment (p < 0.05). In addition, the 5hmC predictive signature demonstrated superior predictive capability to tumor programmed death-ligand 1 and specificity to ICI treatment response prediction. Moreover, we identified novel 5hmC-associated genes and signaling pathways integral to ICI treatment response in lung cancer. This study provides proof-of-concept evidence that the cfDNA 5hmC signature is a robust biomarker for predicting ICI treatment response in lung cancer.
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Affiliation(s)
- Jianming Shao
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, TX 77030, USA (R.J.O.)
- Houston Methodist Research Institute, Houston, TX 77030, USA (S.M.); (S.-H.C.)
| | - Yitian Xu
- Houston Methodist Research Institute, Houston, TX 77030, USA (S.M.); (S.-H.C.)
| | - Randall J. Olsen
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, TX 77030, USA (R.J.O.)
- Houston Methodist Research Institute, Houston, TX 77030, USA (S.M.); (S.-H.C.)
- Weill Cornell Medical College, New York, NY 10065, USA
| | - Saro Kasparian
- Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA (E.H.B.)
- Department of Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Kai Sun
- Weill Cornell Medical College, New York, NY 10065, USA
- Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA (E.H.B.)
| | - Sunil Mathur
- Houston Methodist Research Institute, Houston, TX 77030, USA (S.M.); (S.-H.C.)
- Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA (E.H.B.)
| | - Jun Zhang
- Weill Cornell Medical College, New York, NY 10065, USA
- Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA (E.H.B.)
| | - Chuan He
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL 60637, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL 60637, USA
| | - Shu-Hsia Chen
- Houston Methodist Research Institute, Houston, TX 77030, USA (S.M.); (S.-H.C.)
- Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA (E.H.B.)
| | - Eric H. Bernicker
- Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA (E.H.B.)
| | - Zejuan Li
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, TX 77030, USA (R.J.O.)
- Houston Methodist Research Institute, Houston, TX 77030, USA (S.M.); (S.-H.C.)
- Weill Cornell Medical College, New York, NY 10065, USA
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10
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Hendrix P, Witsch J, Spalart V, Schneider H, Oertel J, Geisel J, Martinod K, Hemmer S. Neutrophil extracellular trap biomarkers in aneurysmal subarachnoid hemorrhage: early decline of DNase 1 activity associated with delayed cerebral ischemia. Front Neurol 2024; 15:1354224. [PMID: 38708000 PMCID: PMC11066163 DOI: 10.3389/fneur.2024.1354224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/26/2024] [Indexed: 05/07/2024] Open
Abstract
Introduction High-mobility group box 1 (HMGB1) protein is a critical mediator of neutrophil extracellular trap (NET) formation (NETosis). Myeloperoxidase (MPO)-DNA complexes, a biomarker of NETs, and HMGB1 have been associated with delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH). Additional mechanistic NET-related biomarkers and their role in the neuroinflammatory cascade surrounding DCI remain to be explored. Methods A post-hoc analysis of a prospective, blinded, single-center biomarker observational study was performed. De novo measurements of serum citrullinated histone H3-DNA complexes (H3Cit-DNA), peptidylarginine deiminase 4 (PAD4), cell-free DNA (cf-DNA), and DNase 1 activity were conducted on admission (D0) and day 4 (D4). Delayed cerebral infarction (DCI) was defined as new cerebral infarction on CT head not present on the post-treatment scan. Results H3Cit-DNA, PAD4, cf-DNA, and DNase 1 activity were within quantifiable ranges in all serum samples analyzed at D0 and D4. Admission biomarker levels were not associated with DCI development. From D0 to D4, in both the DCI and the non-DCI groups, H3Cit-DNA levels significantly decreased, cf-DNA levels significantly increased, and PAD4 levels remained stable. In contrast, DNase 1 activity significantly decreased from D0 to D4 in the DCI group (p < 0.001) but not in the non-DCI group. Conclusion This exploratory analysis demonstrated NET-related biomarkers such as H3Cit-DNA, PAD4, cf-DNA, and DNase 1 activity in all aSAH patients. A decline of systemic DNase 1 activity in the early phase might increase the risk of delayed cerebral ischemia.
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Affiliation(s)
- Philipp Hendrix
- Department of Neurosurgery, Saarland University Medical Center, Homburg, Germany
- Department of Neurosurgery, Geisinger Medical Center, Danville, PA, United States
| | - Jens Witsch
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Valérie Spalart
- Center for Molecular and Vascular Biology, Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Hauke Schneider
- Department of Neurology, University Hospital Augsburg, Augsburg, Germany
| | - Joachim Oertel
- Department of Neurosurgery, Saarland University Medical Center, Homburg, Germany
| | - Jürgen Geisel
- Department of Clinical Chemistry and Laboratory Medicine, Saarland University Medical Center, Homburg, Germany
| | - Kimberly Martinod
- Center for Molecular and Vascular Biology, Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Sina Hemmer
- Department of Neurosurgery, Saarland University Medical Center, Homburg, Germany
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Sorbini M, Carradori T, Togliatto GM, Vaisitti T, Deaglio S. Technical Advances in Circulating Cell-Free DNA Detection and Analysis for Personalized Medicine in Patients' Care. Biomolecules 2024; 14:498. [PMID: 38672514 PMCID: PMC11048502 DOI: 10.3390/biom14040498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 04/13/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
Circulating cell-free DNA (cfDNA) refers to small fragments of DNA molecules released after programmed cell death and necrosis in several body fluids such as blood, saliva, urine, and cerebrospinal fluid. The discovery of cfDNA has revolutionized the field of non-invasive diagnostics in the oncologic field, in prenatal testing, and in organ transplantation. Despite the potential of cfDNA and the solid results published in the recent literature, several challenges remain, represented by a low abundance, a need for highly sensitive assays, and analytical issues. In this review, the main technical advances in cfDNA analysis are presented and discussed, with a comprehensive examination of the current available methodologies applied in each field. Considering the potential advantages of cfDNA, this biomarker is increasing its consensus among clinicians, as it allows us to monitor patients' conditions in an easy and non-invasive way, offering a more personalized care. Nevertheless, cfDNA analysis is still considered a diagnostic marker to be further validated, and very few centers are implementing its analysis in routine diagnostics. As technical improvements are enhancing the performances of cfDNA analysis, its application will transversally improve patients' quality of life.
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Affiliation(s)
- Monica Sorbini
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (T.C.); (T.V.); (S.D.)
| | - Tullia Carradori
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (T.C.); (T.V.); (S.D.)
| | - Gabriele Maria Togliatto
- Immunogenetics and Transplant Biology Service, Città della Salute e della Scienza, 10126 Turin, Italy;
| | - Tiziana Vaisitti
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (T.C.); (T.V.); (S.D.)
- Immunogenetics and Transplant Biology Service, Città della Salute e della Scienza, 10126 Turin, Italy;
| | - Silvia Deaglio
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (T.C.); (T.V.); (S.D.)
- Immunogenetics and Transplant Biology Service, Città della Salute e della Scienza, 10126 Turin, Italy;
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Gerrish A, Mashayamombe-Wolfgarten C, Stone E, Román-Montañana C, Abbott J, Jenkinson H, Millen G, Gurney S, McCalla M, Staveley SJ, Kainth A, Kirk M, Bowen C, Cavanagh S, Bunstone S, Carney M, Mohite A, Clokie S, Reddy MA, Foster A, Allen S, Parulekar M, Cole T. Genetic Diagnosis of Retinoblastoma Using Aqueous Humour-Findings from an Extended Cohort. Cancers (Basel) 2024; 16:1565. [PMID: 38672657 PMCID: PMC11049382 DOI: 10.3390/cancers16081565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/10/2024] [Accepted: 04/13/2024] [Indexed: 04/28/2024] Open
Abstract
The identification of somatic RB1 variation is crucial to confirm the heritability of retinoblastoma. We and others have previously shown that, when tumour DNA is unavailable, cell-free DNA (cfDNA) derived from aqueous humour (AH) can be used to identify somatic RB1 pathogenic variation. Here we report RB1 pathogenic variant detection, as well as cfDNA concentration in an extended cohort of 75 AH samples from 68 patients. We show cfDNA concentration is highly variable and significantly correlated with the collection point of the AH. Cell-free DNA concentrations above 5 pg/µL enabled the detection of 93% of known or expected RB1 pathogenic variants. In AH samples collected during intravitreal chemotherapy treatment (Tx), the yield of cfDNA above 5 pg/µL and subsequent variant detection was low (≤46%). However, AH collected by an anterior chamber tap after one to three cycles of primary chemotherapy (Dx1+) enabled the detection of 75% of expected pathogenic variants. Further limiting our analysis to Dx1+ samples taken after ≤2 cycles (Dx ≤ 2) provided measurable levels of cfDNA in all cases, and a subsequent variant detection rate of 95%. Early AH sampling is therefore likely to be important in maximising cfDNA concentration and the subsequent detection of somatic RB1 pathogenic variants in retinoblastoma patients undergoing conservative treatment.
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Affiliation(s)
- Amy Gerrish
- West Midlands Regional Genetics Service, Birmingham Women’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B15 2TG, UK (E.S.); (C.R.-M.); (S.C.); (S.A.)
| | - Chipo Mashayamombe-Wolfgarten
- West Midlands Regional Genetics Service, Birmingham Women’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B15 2TG, UK (E.S.); (C.R.-M.); (S.C.); (S.A.)
| | - Edward Stone
- West Midlands Regional Genetics Service, Birmingham Women’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B15 2TG, UK (E.S.); (C.R.-M.); (S.C.); (S.A.)
- North West Genomic Laboratory Hub (Manchester), St Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK; (S.B.); (M.C.)
| | - Claudia Román-Montañana
- West Midlands Regional Genetics Service, Birmingham Women’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B15 2TG, UK (E.S.); (C.R.-M.); (S.C.); (S.A.)
| | - Joseph Abbott
- Birmingham Children’s Hospital Eye Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK
| | - Helen Jenkinson
- Birmingham Children’s Hospital Eye Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK
| | - Gerard Millen
- Birmingham Children’s Hospital Eye Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK
| | - Sam Gurney
- Birmingham Children’s Hospital Eye Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK
| | - Maureen McCalla
- Birmingham Children’s Hospital Eye Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK
| | - Sarah-Jane Staveley
- Birmingham Children’s Hospital Eye Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK
| | - Anu Kainth
- Birmingham Children’s Hospital Eye Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK
| | - Maria Kirk
- Birmingham Children’s Hospital Eye Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK
| | - Claire Bowen
- Birmingham Children’s Hospital Histopathology Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK (S.C.)
| | - Susan Cavanagh
- Birmingham Children’s Hospital Histopathology Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK (S.C.)
| | - Sancha Bunstone
- North West Genomic Laboratory Hub (Manchester), St Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK; (S.B.); (M.C.)
| | - Megan Carney
- North West Genomic Laboratory Hub (Manchester), St Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK; (S.B.); (M.C.)
| | - Ajay Mohite
- Birmingham Children’s Hospital Eye Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK
| | - Samuel Clokie
- West Midlands Regional Genetics Service, Birmingham Women’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B15 2TG, UK (E.S.); (C.R.-M.); (S.C.); (S.A.)
| | - M. Ashwin Reddy
- Retinoblastoma Unit, Royal London Hospital, Barts Health NHS Trust, London E1 1BB, UK
| | - Alison Foster
- West Midlands Regional Genetics Service, Birmingham Women’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B15 2TG, UK (E.S.); (C.R.-M.); (S.C.); (S.A.)
| | - Stephanie Allen
- West Midlands Regional Genetics Service, Birmingham Women’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B15 2TG, UK (E.S.); (C.R.-M.); (S.C.); (S.A.)
| | - Manoj Parulekar
- Birmingham Children’s Hospital Eye Department, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B4 6NH, UK
| | - Trevor Cole
- West Midlands Regional Genetics Service, Birmingham Women’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham B15 2TG, UK (E.S.); (C.R.-M.); (S.C.); (S.A.)
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Yu Y, Xu W, Zhang S, Feng S, Feng F, Dai J, Zhang X, Tian P, Wang S, Zhao Z, Zhao W, Guan L, Qiu Z, Zhang J, Peng H, Lin J, Zhang Q, Chen W, Li H, Zhao Q, Xiao G, Li Z, Zhou S, Peng C, Xu Z, Zhang J, Zhang R, He X, Li H, Li J, Ruan X, Zhao L, He J. Non-invasive prediction of preeclampsia using the maternal plasma cell-free DNA profile and clinical risk factors. Front Med (Lausanne) 2024; 11:1254467. [PMID: 38695016 PMCID: PMC11061442 DOI: 10.3389/fmed.2024.1254467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 03/26/2024] [Indexed: 05/04/2024] Open
Abstract
Background Preeclampsia (PE) is a pregnancy complication defined by new onset hypertension and proteinuria or other maternal organ damage after 20 weeks of gestation. Although non-invasive prenatal testing (NIPT) has been widely used to detect fetal chromosomal abnormalities during pregnancy, its performance in combination with maternal risk factors to screen for PE has not been extensively validated. Our aim was to develop and validate classifiers that predict early- or late-onset PE using the maternal plasma cell-free DNA (cfDNA) profile and clinical risk factors. Methods We retrospectively collected and analyzed NIPT data of 2,727 pregnant women aged 24-45 years from four hospitals in China, which had previously been used to screen for fetal aneuploidy at 12 + 0 ~ 22 + 6 weeks of gestation. According to the diagnostic criteria for PE and the time of diagnosis (34 weeks of gestation), a total of 143 early-, 580 late-onset PE samples and 2,004 healthy controls were included. The wilcoxon rank sum test was used to identify the cfDNA profile for PE prediction. The Fisher's exact test and Mann-Whitney U-test were used to compare categorical and continuous variables of clinical risk factors between PE samples and healthy controls, respectively. Machine learning methods were performed to develop and validate PE classifiers based on the cfDNA profile and clinical risk factors. Results By using NIPT data to analyze cfDNA coverages in promoter regions, we found the cfDNA profile, which was differential cfDNA coverages in gene promoter regions between PE and healthy controls, could be used to predict early- and late-onset PE. Maternal age, body mass index, parity, past medical histories and method of conception were significantly differential between PE and healthy pregnant women. With a false positive rate of 10%, the classifiers based on the combination of the cfDNA profile and clinical risk factors predicted early- and late-onset PE in four datasets with an average accuracy of 89 and 80% and an average sensitivity of 63 and 48%, respectively. Conclusion Incorporating cfDNA profiles in classifiers might reduce performance variations in PE models based only on clinical risk factors, potentially expanding the application of NIPT in PE screening in the future.
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Affiliation(s)
- Yan Yu
- Department of Obstetrics, Shenzhen Baoan Women’s and Children’s Hospital, Shenzhen, China
| | - Wenqiu Xu
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Sufen Zhang
- Department of Clinical Laboratory (Institute of Medical Genetics), Zhuhai Center for Maternal and Child Health Care, Zhuhai, China
| | - Suihua Feng
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Feng Feng
- BGI-Tianjin, BGI-Shenzhen, Tianjin, China
| | - Junshang Dai
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Xiao Zhang
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | | | | | - Zhiguang Zhao
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Wenrui Zhao
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Liping Guan
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Zhixu Qiu
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Jianguo Zhang
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | | | - Jiawei Lin
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Qun Zhang
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Weiping Chen
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Huahua Li
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Qiang Zhao
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Gefei Xiao
- Department of Clinical Laboratory (Institute of Medical Genetics), Zhuhai Center for Maternal and Child Health Care, Zhuhai, China
| | - Zhongzhe Li
- Department of Prevention and Health Care, Zhuhai Center for Maternal and Child Health Care, Zhuhai, China
| | - Shihao Zhou
- Department of Genetics and Eugenics, Changsha Hospital for Maternal and Child Health Care, Changsha, China
- Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal and Child Health Care Affiliated to Hunan Normal University, Changsha, China
| | - Can Peng
- Department of Genetics and Eugenics, Changsha Hospital for Maternal and Child Health Care, Changsha, China
| | - Zhen Xu
- Department of Genetics and Eugenics, Changsha Hospital for Maternal and Child Health Care, Changsha, China
| | - Jingjing Zhang
- Hospital Office, Changsha Hospital for Maternal and Child Health Care, Changsha, China
| | - Rui Zhang
- Department of Medical Genetics and Prenatal Diagnosis, Baoan Women’s and Children’s Hospital, Jinan University, Shenzhen, China
| | - Xiaohong He
- Department of Medical Genetics and Prenatal Diagnosis, Baoan Women’s and Children’s Hospital, Jinan University, Shenzhen, China
| | - Hua Li
- Department of Clinical Laboratory (Institute of Medical Genetics), Zhuhai Center for Maternal and Child Health Care, Zhuhai, China
| | - Jia Li
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Xiaohong Ruan
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Lijian Zhao
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
- Hebei Medical University, Shijiazhuang, Hebei, China
| | - Jun He
- Department of Genetics and Eugenics, Changsha Hospital for Maternal and Child Health Care, Changsha, China
- Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal and Child Health Care Affiliated to Hunan Normal University, Changsha, China
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Bhalla S, Passarelli R, Biswas A, De S, Ghodoussipour S. Plasma-Derived Cell-Free DNA as a Biomarker for Early Detection, Prognostication, and Personalized Treatment of Urothelial Carcinoma. J Clin Med 2024; 13:2057. [PMID: 38610824 PMCID: PMC11012937 DOI: 10.3390/jcm13072057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 03/20/2024] [Accepted: 03/28/2024] [Indexed: 04/14/2024] Open
Abstract
Bladder cancer (BC) is one of the most common malignancies in the United States, with over 80,000 new cases and 16,000 deaths each year. Urothelial carcinoma (UC) is the most common histology and accounts for 90% of cases. BC management is complicated by recurrence rates of over 50% in both muscle-invasive and non-muscle-invasive bladder cancer. As such, the American Urological Association (AUA) recommends that patients undergo close surveillance during and after treatment. This surveillance is in the form of cystoscopy or imaging tests, which can be invasive and costly tests. Considering this, there have been recent pushes to find complements to bladder cancer surveillance. Cell-free DNA (CfDNA), or DNA released from dying cells, and circulating tumor DNA (ctDNA), or mutated DNA released from tumor cells, can be analyzed to detect and characterize the molecular characteristics of tumors. Research has shown promising results for ctDNA use in the BC care realm. A PubMed literature review was performed finding studies discussing cfDNA and ctDNA in BC detection, prognostication, and monitoring for recurrence. Keywords used included bladder cancer, cell-free DNA, circulating tumor DNA, urothelial carcinoma, and liquid biopsy. Studies show that ctDNA can serve as prognostic indicators of both early- and late-stage BC, aid in risk stratification prior to major surgery, assist in detection of disease progression and metastatic relapse, and can assess patients who may respond to immunotherapy. The benefit of ctDNA is not confined to BC, as studies have also suggested its promise as a biomarker for neoadjuvant chemotherapy in upper-tract UC. However, there are some limitations to ctDNA that require improvements in ctDNA-specific detection methods and BC-specific mutations before widespread utilization can be achieved. Further prospective, randomized trials are needed to elucidate the true potential ctDNA has in advancements in BC care.
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Affiliation(s)
- Sophia Bhalla
- Division of Urology, Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson University Hospital, 195 Albany St., New Brunswick, NJ 08901, USA; (S.B.); (R.P.)
| | - Rachel Passarelli
- Division of Urology, Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson University Hospital, 195 Albany St., New Brunswick, NJ 08901, USA; (S.B.); (R.P.)
| | - Antara Biswas
- Center for Systems and Computational Biology, Rutgers Cancer Institute of New Jersey, Rutgers University, 195 Albany St., New Brunswick, NJ 08901, USA; (A.B.); (S.D.)
| | - Subhajyoti De
- Center for Systems and Computational Biology, Rutgers Cancer Institute of New Jersey, Rutgers University, 195 Albany St., New Brunswick, NJ 08901, USA; (A.B.); (S.D.)
| | - Saum Ghodoussipour
- Division of Urology, Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson University Hospital, 195 Albany St., New Brunswick, NJ 08901, USA; (S.B.); (R.P.)
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15
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Ali M, Choudhary R, Singh K, Kumari S, Kumar R, Graham BB, Pasha MAQ, Rabyang S, Thinlas T, Mishra A. Hypobaric hypoxia modulated structural characteristics of circulating cell-free DNA in high-altitude pulmonary edema. Am J Physiol Lung Cell Mol Physiol 2024; 326:L496-L507. [PMID: 38349115 DOI: 10.1152/ajplung.00245.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 01/10/2024] [Accepted: 01/25/2024] [Indexed: 04/07/2024] Open
Abstract
The utility of cell-free (cf) DNA has extended as a surrogate or clinical biomarker for various diseases. However, a more profound and expanded understanding of the diverse cfDNA population and its correlation with physiological phenotypes and environmental factors is imperative for using its full potential. The high-altitude (HA; altitude > 2,500 m above sea level) environment characterized by hypobaric hypoxia offers an observational case-control design to study the differential cfDNA profile in patients with high-altitude pulmonary edema (HAPE) (number of subjects, n = 112) and healthy HA sojourners (n = 111). The present study investigated cfDNA characteristics such as concentration, fragment length size, degree of integrity, and subfractions reflecting mitochondrial-cfDNA copies in the two groups. The total cfDNA level was significantly higher in patients with HAPE, and the level increased with increasing HAPE severity (P = 0.0036). A lower degree of cfDNA integrity of 0.346 in patients with HAPE (P = 0.001) indicated the prevalence of shorter cfDNA fragments in circulation in patients compared with the healthy HA sojourners. A significant correlation of cfDNA characteristics with the peripheral oxygen saturation levels in the patient group demonstrated the translational relevance of cfDNA molecules. The correlation was further supported by multivariate logistic regression and receiver operating characteristic curve. To our knowledge, our study is the first to highlight the association of higher cfDNA concentration, a lower degree of cfDNA integrity, and increased mitochondrial-derived cfDNA population with HAPE disease severity. Further deep profiling of cfDNA fragments, which preserves cell-type specific genetic and epigenetic features, can provide dynamic physiological responses to hypoxia.NEW & NOTEWORTHY This study observed altered cell-free (cf) DNA fragment patterns in patients with high-altitude pulmonary edema and the significant correlation of these patterns with peripheral oxygen saturation levels. This suggests deep profiling of cfDNA fragments in the future may identify genetic and epigenetic mechanisms underlying physiological and pathophysiological responses to hypoxia.
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Affiliation(s)
- Manzoor Ali
- Cardio Respiratory Disease Unit, CSIR-Institute of Genomics and Integrative Biology, Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Raushni Choudhary
- Cardio Respiratory Disease Unit, CSIR-Institute of Genomics and Integrative Biology, Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Kanika Singh
- Cardio Respiratory Disease Unit, CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Swati Kumari
- Cardio Respiratory Disease Unit, CSIR-Institute of Genomics and Integrative Biology, Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Rahul Kumar
- Department of Medicine, University of California, San Francisco, California, United States
- Lung Biology Center, Zuckerberg San Francisco General Hospital, San Francisco, California, United States
| | - Brian B Graham
- Department of Medicine, University of California, San Francisco, California, United States
- Lung Biology Center, Zuckerberg San Francisco General Hospital, San Francisco, California, United States
| | | | - Stanzen Rabyang
- Department of Medicine, Sonam Norboo Memorial Hospital, Leh, India
| | - Tashi Thinlas
- Department of Medicine, Sonam Norboo Memorial Hospital, Leh, India
| | - Aastha Mishra
- Cardio Respiratory Disease Unit, CSIR-Institute of Genomics and Integrative Biology, Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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16
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Cowzer D, Shah RH, Chou JF, Kundra R, Punn S, Fiedler L, DeMore A, Capanu M, Berger MF, Reidy-Lagunes D, Raj N. Clinical utility of plasma cell-free DNA in pancreatic neuroendocrine neoplasms. Endocr Relat Cancer 2024; 31:e230292. [PMID: 38252063 DOI: 10.1530/erc-23-0292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 01/22/2024] [Indexed: 01/23/2024]
Abstract
In advanced pancreatic neuroendocrine neoplasms (PanNEN), there are little data detailing the frequency of genetic alterations identified in cell free DNA (cfDNA), plasma-tissue concordance of detected alterations, and clinical utility of cfDNA. Patients with metastatic PanNENs underwent cfDNA collection in routine practice. Next-generation sequencing (NGS) of cfDNA and matched tissue when available was performed. Clinical actionability of variants was annotated by OncoKB. Thirty-two cfDNA samples were analyzed from 25 patients, the majority who had well-differentiated intermediate grade disease (13/25; 52%). Genomic alterations were detected in 68% of patients and in 66% of all cfDNA samples. The most frequently altered genes were DAXX (28%), TSC2 (24%), MEN1 (24%), ARID1B (20%), ARID1A (12%), and ATRX (12%). Twenty-three out of 25 (92%) patients underwent tumor tissue NGS. Tissue-plasma concordance for select genes was as follows:DAXX (95.7%), ARID1A (91.1%), ATRX (87%), TSC2 (82.6%), MEN1 (69.6%). Potentially actionable alterations were identified in cfDNA of 8 patients, including TSC2 (4; level 3b), ATM (1; level 3b), ARID1A (2; level 4), and KRAS (1; level 4). An ETV6:NTRK fusion detected in tumor tissue was treated with larotrectinib; at progression, sequencing of cfDNA identified an NTRK3 G623R alteration as the acquired mechanism of resistance; the patient enrolled in a clinical trial of a second-generation TRK inhibitor with clinical benefit. In metastatic PanNENs, cfDNA-based NGS identified tumor-associated mutations in 66% of plasma samples with a high level of plasma-tissue agreement in PanNEN-associated genes. Clonal evolution, actionable alterations, and resistance mechanisms were detected through circulating cfDNA genotyping.
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Affiliation(s)
- Darren Cowzer
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Ronak H Shah
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Joanne F Chou
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Ritika Kundra
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Sippy Punn
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Laura Fiedler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - April DeMore
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Marinela Capanu
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Michael F Berger
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Pathology and laboratory medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Diane Reidy-Lagunes
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Weill Medical College of Cornell University, New York, New York, USA
| | - Nitya Raj
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Weill Medical College of Cornell University, New York, New York, USA
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17
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Dash M, Mahajan B, Dar GM, Sahu P, Saluja SS. An update on the cell-free DNA-derived methylome as a non-invasive biomarker for coronary artery disease. Int J Biochem Cell Biol 2024; 169:106555. [PMID: 38428633 DOI: 10.1016/j.biocel.2024.106555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 12/22/2023] [Accepted: 02/25/2024] [Indexed: 03/03/2024]
Abstract
Cardiovascular diseases are the foremost contributor to global mortality, presenting a complex etiology and an expanding array of risk factors. Coronary artery disease characterized by atherosclerotic plaque build-up in the coronary arteries, imposes significant mortality and financial burdens, especially in low- and middle-income nations. The pathogenesis of coronary artery disease involves a multifaceted interplay of genetic, environmental, and epigenetic factors. Epigenetic regulation contributes to the dynamic control of gene expression without altering the underlying DNA sequence. The mounting evidence that highlights the pivotal role of epigenetic regulation in coronary artery disease development and progression, offering potential avenues for the development of novel diagnostic biomarkers and therapeutic targets. Abnormal DNA methylation patterns are linked to the modulation of gene expression involved in crucial processes like lipid metabolism, inflammation, and vascular function in the context of coronary artery disease. Cell-free DNA has become invaluable in tumor biology as a liquid biopsy, while its applications in coronary artery disease are limited, but intriguing. Atherosclerotic plaque rupture causes myocardial infarction, by depriving heart muscles of oxygen, releasing cell-free DNA from dead cardiac cells, and providing a minimally invasive source to explore tissue-specific epigenetic alterations. We discussed the methodologies for studying the global methylome and hydroxy-methylome landscape, their advantages, and limitations. It explores methylome alterations in coronary artery disease, considering risk factors and their relevance in coronary artery disease genesis. The review also details the implications of MI-derived cell-free DNA for developing minimally invasive biomarkers and associated challenges.
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Affiliation(s)
- Manoswini Dash
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India; School of Medicine, Center for Aging, Tulane University, LA, United States
| | - Bhawna Mahajan
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India; Department of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India.
| | - Ghulam Mehdi Dar
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Parameswar Sahu
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Sundeep Singh Saluja
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India; Department of GI Surgery, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
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18
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Takeshita T, Iwamoto T, Niikura N, Watanabe K, Kikawa Y, Kobayashi K, Iwakuma N, Okamura T, Tada H, Ozaki S, Okuno T, Toh U, Yamamoto Y, Tsuneizumi M, Ishiguro H, Masuda N, Saji S. Identifying prognostic biomarkers for palbociclib add-on therapy in fulvestrant-resistant breast cancer using cell-free DNA sequencing. ESMO Open 2024; 9:102385. [PMID: 38387111 PMCID: PMC11076976 DOI: 10.1016/j.esmoop.2024.102385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/18/2024] [Accepted: 01/22/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND The FUTURE trial (UMIN000029294) demonstrated the safety and efficacy of adding palbociclib after fulvestrant resistance in patients with hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) advanced and metastatic breast cancer (ABC/MBC). In this planned sub-study, cancer panel sequencing of cell-free DNA (cfDNA) was utilized to explore prognostic and predictive biomarkers for further palbociclib treatment following fulvestrant resistance. MATERIALS AND METHODS Herein, 149 cfDNA samples from 65 patients with fulvestrant-resistant disease were analysed at the time of palbociclib addition after fulvestrant resistance (baseline), on day 15 of cycle 1, and at the end of treatment using the assay for identifying diverse mutations in 34 cancer-related genes. RESULTS During the course of treatment, mutations in ESR1, PIK3CA, FOXA1, RUNX1, TBX3, and TP53 were the most common genomic alterations observed. Analysis of genomic mutations revealed that before fulvestrant introduction, baseline PIK3CA mutations were marginally lower in metastatic aromatase inhibitor (AI)-treated patients compared to adjuvant AI-treated patients (P = 0.063). Baseline PIK3CA mutations were associated with poorer progression-free survival [hazard ratio: 1.62, P = 0.04]. Comparative analysis between baseline and early-changing gene mutations identified poor prognostic factors including early-changing MAP3K1 mutations (hazard ratio: 4.66, P = 0.04), baseline AR mutations (hazard ratio: 3.53, P = 0.04), and baseline PIK3CA mutations (hazard ratio: 3.41, P = 0.02). Notably, the relationship between ESR1 mutations and mutations in PIK3CA, MAP3K1, and TP53 weakened as treatment progressed. Instead, PIK3CA mutations became correlated with TP53 and FOXA1 mutations. CONCLUSIONS Cancer panel testing for cfDNA identified prognostic and predictive biomarkers for palbociclib add-on therapy after acquiring fulvestrant resistance in patients with HR+/HER2- ABC/MBC.
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Affiliation(s)
- T Takeshita
- Department of Breast and Endocrine Surgery, Kumamoto City Hospital, Kumamoto.
| | - T Iwamoto
- Department of Breast and Thyroid Surgery, Kawasaki Medical School Hospital, Kurashiki
| | - N Niikura
- Department of Breast Oncology, Tokai University School of Medicine, Isehara, Kanagawa
| | - K Watanabe
- Department of Breast Surgery, Hokkaido Cancer Center, Sapporo, Hokkaido
| | - Y Kikawa
- Department of Breast Surgery, Kansai Medical University Hospital, Hirakata, Osaka
| | - K Kobayashi
- Department of Medical Oncology, Saitama Red Cross Hospital, Chuo-ku, Saitama
| | - N Iwakuma
- Breast Center, Department of Breast Surgery, NHO Kyushu Medical Center, Fukuoka
| | - T Okamura
- Department of Breast Oncology, Tokai University School of Medicine, Isehara, Kanagawa
| | - H Tada
- Division of Breast and Endocrine Surgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi
| | - S Ozaki
- Department of Gastrointestinal and Breast Surgery, Hiroshima Prefectural Hospital, Hiroshima
| | - T Okuno
- Department of Breast Surgery, Kobe City Nishi-Kobe Medical Center, Kobe, Hyogo
| | - U Toh
- Department of Breast Surgery, Kurume University Hospital, Kurume, Fukuoka
| | - Y Yamamoto
- Department of Breast and Endocrine Surgery, Kumamoto University Hospital, Kumamoto
| | - M Tsuneizumi
- Department of Breast Surgery, Shizuoka General Hospital, Shizuoka
| | - H Ishiguro
- Breast Oncology Service, Saitama Medical University International Medical Center, Hidaka, Saitama
| | - N Masuda
- Department of Breast and Endocrine Surgery, Nagoya University Graduate School of Medicine, Nagoya
| | - S Saji
- Department of Medical Oncology, Fukushima Medical University, School of Medicine, Fukushima, Japan
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Padullés B, Carrasco R, Ingelmo-Torres M, Roldán FL, Gómez A, Vélez E, Alfambra H, Figueras M, Carrion A, Gil-Vernet J, Mengual L, Izquierdo L, Alcaraz A. Prognostic Value of Liquid-Biopsy-Based Biomarkers in Upper Tract Urothelial Carcinoma. Int J Mol Sci 2024; 25:3695. [PMID: 38612507 PMCID: PMC11012136 DOI: 10.3390/ijms25073695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 03/22/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024] Open
Abstract
Currently, there are no reliable prognostic factors to determine which upper tract urothelial carcinoma (UTUC) patients will progress after radical nephroureterectomy (RNU). We aim to evaluate whether liquid-biopsy-based biomarkers (circulating tumor cells (CTCs), cell-free DNA (cfDNA), and circulating tumor DNA (ctDNA)) were able to predict clinical outcomes in localized UTUC patients undergoing RNU. Twenty patients were prospectively enrolled between 2021 and 2023. Two blood samples were collected before RNU and three months later. CTCs and cfDNA were isolated and evaluated using the IsoFlux system and Quant-iT PicoGreen dsDNA kit, respectively. Droplet digital PCR was performed to determine ctDNA status. Cox regression analysis was performed on CTCs, cfDNA, and ctDNA at two different follow-up time points to examine their influence on tumor progression and cancer-specific survival (CSS). During a median follow-up of 18 months, seven (35%) patients progressed and three (15%) died. Multivariate analysis demonstrated that cfDNA levels three months after RNU are a significant predictor of tumor progression (HR = 1.085; p = 0.006) and CSS (HR = 1.168; p = 0.029). No associations were found between CTC enumeration and ctDNA status with any of the clinical outcomes evaluated. The evaluation of cfDNA levels in clinical practice could improve the disease management of UTUC patients.
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Affiliation(s)
- Bernat Padullés
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
- Genètica i Tumors Urològics, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
- Departament de Biomedicina, Facultat de Medicina I Ciències de la Salut, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Raquel Carrasco
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
- Genètica i Tumors Urològics, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Mercedes Ingelmo-Torres
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
- Genètica i Tumors Urològics, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Fiorella L. Roldán
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
- Genètica i Tumors Urològics, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Ascensión Gómez
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
| | - Elena Vélez
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
| | - Héctor Alfambra
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
| | - Marcel Figueras
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
- Genètica i Tumors Urològics, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Albert Carrion
- Department of Urology, Vall d’Hebron University Hospital, 08035 Barcelona, Spain
| | - Jordi Gil-Vernet
- Department of Urology, Vall d’Hebron University Hospital, 08035 Barcelona, Spain
| | - Lourdes Mengual
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
- Genètica i Tumors Urològics, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
- Departament de Biomedicina, Facultat de Medicina I Ciències de la Salut, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Laura Izquierdo
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
- Genètica i Tumors Urològics, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
- Departament de Cirurgia i Especialitats Medicoquirúrgiques, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Antonio Alcaraz
- Laboratori i Servei d’Urologia, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; (B.P.); (L.M.)
- Genètica i Tumors Urològics, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
- Departament de Cirurgia i Especialitats Medicoquirúrgiques, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), 08036 Barcelona, Spain
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20
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Balasubramanian S, Richert ME, Kong H, Fu S, Jang MK, Andargie TE, Keller MB, Alnababteh M, Park W, Apalara Z, Sun J, Redekar N, Orens J, Aryal S, Bush EL, Cantu E, Diamond J, Shah P, Yu K, Nathan SD, Agbor-Enoh S. Cell-Free DNA Maps Tissue Injury and Correlates with Disease Severity in Lung Transplant Candidates. Am J Respir Crit Care Med 2024; 209:727-737. [PMID: 38117233 PMCID: PMC10945061 DOI: 10.1164/rccm.202306-1064oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 11/28/2023] [Indexed: 12/21/2023] Open
Abstract
Rationale: Plasma cell-free DNA levels correlate with disease severity in many conditions. Pretransplant cell-free DNA may risk stratify lung transplant candidates for post-transplant complications. Objectives: To evaluate if pretransplant cell-free DNA levels and tissue sources identify patients at high risk of primary graft dysfunction and other pre- and post-transplant outcomes. Methods: This multicenter, prospective cohort study recruited 186 lung transplant candidates. Pretransplant plasma samples were collected to measure cell-free DNA. Bisulfite sequencing was performed to identify the tissue sources of cell-free DNA. Multivariable regression models determined the association between cell-free DNA levels and the primary outcome of primary graft dysfunction and other transplant outcomes, including Lung Allocation Score, chronic lung allograft dysfunction, and death. Measurements and Main Results: Transplant candidates had twofold greater cell-free DNA levels than healthy control patients (median [interquartile range], 23.7 ng/ml [15.1-35.6] vs. 12.9 ng/ml [9.9-18.4]; P < 0.0001), primarily originating from inflammatory innate immune cells. Cell-free DNA levels and tissue sources differed by native lung disease category and correlated with the Lung Allocation Score (P < 0.001). High pretransplant cell-free DNA increased the risk of primary graft dysfunction (odds ratio, 1.60; 95% confidence interval [CI], 1.09-2.46; P = 0.0220), and death (hazard ratio, 1.43; 95% CI, 1.07-1.92; P = 0.0171) but not chronic lung allograft dysfunction (hazard ratio, 1.37; 95% CI, 0.97-1.94; P = 0.0767). Conclusions: Lung transplant candidates demonstrate a heightened degree of tissue injury with elevated cell-free DNA, primarily originating from innate immune cells. Pretransplant plasma cell-free DNA levels predict post-transplant complications.
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Affiliation(s)
- Shanti Balasubramanian
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
| | - Mary E. Richert
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
| | - Hyesik Kong
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Sheng Fu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Moon Kyoo Jang
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Temesgen E. Andargie
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Department of Biology, Howard University, Washington, District of Columbia
| | - Michael B. Keller
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Muhtadi Alnababteh
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
| | - Woojin Park
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Zainab Apalara
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Integrated Data Science Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Jian Sun
- Integrated Data Science Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Neelam Redekar
- Integrated Data Science Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Jonathan Orens
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Shambhu Aryal
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Advanced Lung Disease and Lung Transplant Program, Inova Fairfax Hospital, Fairfax, Virginia
| | - Errol L. Bush
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Surgery, The Johns Hopkins School of Medicine, Baltimore, Maryland; and
| | - Edward Cantu
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joshua Diamond
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Pali Shah
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Steven D. Nathan
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Advanced Lung Disease and Lung Transplant Program, Inova Fairfax Hospital, Fairfax, Virginia
| | - Sean Agbor-Enoh
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
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21
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Tu Z, Liu M, Xu C, Wei Y, Lu T, Xiao Y, Li H, Zhang S, Xie X, Li J, Wen W. Functional 2D Nanoplatforms Alleviate Eosinophilic Chronic Rhinosinusitis by Modulating Eosinophil Extracellular Trap Formation. Adv Sci (Weinh) 2024:e2307800. [PMID: 38477549 DOI: 10.1002/advs.202307800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/23/2024] [Indexed: 03/14/2024]
Abstract
The therapeutic outcomes of patients with eosinophilic chronic rhinosinusitis (ECRS) remain unsatisfactory, largely because the underlying mechanisms of eosinophilic inflammation are uncertain. Here, it is shown that the nasal secretions of ECRS patients have high eosinophil extracellular trap (EET) and cell-free DNA (cfDNA) levels. Moreover, the cfDNA induced EET formation by activating toll-like receptor 9 (TLR9) signaling. After demonstrating that DNase I reduced eosinophilic inflammation by modulating EET formation, linear polyglycerol-amine (LPGA )-coated TiS2 nanosheets (TLPGA ) as functional 2D nanoplatforms with low cytotoxicity, mild protein adsorption, and increased degradation rate is developed. Due to the more flexible linear architecture, TLPGA exhibited higher cfDNA affinity than the TiS2 nanosheets coated with dendritic polyglycerol-amine (TDPGA ). TLPGA reduced cfDNA levels in the nasal secretions of ECRS patients while suppressing cfDNA-induced TLR9 activation and EET formation in vitro. TLPGA displayed exceptional biocompatibility, preferential nasal localization, and potent inflammation modulation in mice with eosinophilic inflammation. These results highlight the pivotal feature of the linear molecular architecture and 2D sheet-like nanostructure in the development of anti-inflammation nanoplatforms, which can be exploited for ECRS treatment.
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Affiliation(s)
- Zhaoxu Tu
- Department of Otolaryngology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
- Department of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Ming Liu
- Department of Otolaryngology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Changyi Xu
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
- Department of Clinical Laboratory, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Yi Wei
- Department of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Tong Lu
- Department of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Yongqiang Xiao
- ENT institute, Eye & ENT Hospital, Fudan University, Shanghai, 201114, China
| | - Hongxia Li
- Department of Otolaryngology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Shuaiyin Zhang
- Department of Otolaryngology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Xinran Xie
- Department of Otolaryngology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Jian Li
- Department of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Weiping Wen
- Department of Otolaryngology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
- Department of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
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22
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Liu L, Lu C, Tao Z, Zha Z, Wang H, Miao Z. 2D is Better: Engineering Polydopamine into Cationic Nanosheets to Enhance Anti-inflammatory Capability. Adv Healthc Mater 2024:e2400048. [PMID: 38466315 DOI: 10.1002/adhm.202400048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/24/2024] [Indexed: 03/12/2024]
Abstract
Polydopamine nanomaterials have emerged as one of the most popular organic materials for management of oxidative stress-mediated inflammatory diseases. However, their current anti-inflammatory ability is still unsatisfied because of limited phenolic hydroxyl groups and oxidation reaction-medicated reactive oxygen and nitrogen species (RONS) scavenging. Herein, via fusing dimension engineering and surface charge engineering, we reported two-dimension (2D) cationic polydopamine nanosheets (PDA NSs) capable of scavenging multiple danger signals to enhance anti-inflammatory capability. Compared with conventional spherical polydopamine nanoparticles, 2D PDA NSs exhibited 3∼4-fold enhancement in RONS scavenging capability, which should be attributed to high specific surface area and abundant phenol groups of 2D ultrathin structure. To further enhance the anti-inflammatory ability, polylysine molecules were absorbed on the surface of PDA NSs to endow the scavenging capability of cell-free DNA (cfDNA), another typical inflammatory factor to exacerbate the pathogenesis of inflammation. Molecular mechanisms revealed that cationic PDA NSs could concurrently activate Keap1-Nrf2 and block TLR9 signaling pathway, achieving synergistical inflammation inhibition. As a proof of concept, cationic PDA NSs with RONS and cfDNA dual-scavenging capability effectively alleviated the inflammatory bowel disease in both delayed and prophylactic models, much better than the clinical drug 5-aminosalicylic acid. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Lulu Liu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, P. R. China
| | - Chenxin Lu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, P. R. China
| | - Zhenchao Tao
- Department of Radiation Oncology, Anhui Provincial Cancer Hospital, Hefei, 230031, P. R. China
- The Key Laboratory of Antiinflammatory and Immune Medicine, Ministry of Education, Anhui Medical University, Hefei, 230032, P. R. China
| | - Zhengbao Zha
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, P. R. China
| | - Hua Wang
- Department of Oncology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, P. R. China
| | - Zhaohua Miao
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, P. R. China
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23
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Cheng JC, Swarup N, Wong DTW, Chia D. A review on the impact of single-stranded library preparation on plasma cell-free diversity for cancer detection. Front Oncol 2024; 14:1332004. [PMID: 38511142 PMCID: PMC10951391 DOI: 10.3389/fonc.2024.1332004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/07/2024] [Indexed: 03/22/2024] Open
Abstract
In clinical oncology, cell-free DNA (cfDNA) has shown immense potential in its ability to noninvasively detect cancer at various stages and monitor the progression of therapy. Despite the rapid improvements in cfDNA liquid biopsy approaches, achieving the required sensitivity to detect rare tumor-derived cfDNA still remains a challenge. For next-generation sequencing, the perceived presentation of cfDNA is strongly linked to the extraction and library preparation protocols. Conventional double-stranded DNA library preparation (dsDNA-LP) focuses on assessing ~167bp double-stranded mononucleosomal (mncfDNA) and its other oligonucleosomal cell-free DNA counterparts in plasma. However, dsDNA-LP methods fail to include short, single-stranded, or nicked DNA in the final library preparation, biasing the representation of the actual cfDNA populations in plasma. The emergence of single-stranded library preparation (ssDNA-LP) strategies over the past decade has now allowed these other populations of cfDNA to be studied from plasma. With the use of ssDNA-LP, single-stranded, nicked, and ultrashort cfDNA can be comprehensively assessed for its molecular characteristics and clinical potential. In this review, we overview the current literature on applications of ssDNA-LP on plasma cfDNA from a potential cancer liquid biopsy perspective. To this end, we discuss the molecular principles of single-stranded DNA adapter ligation, how library preparation contributes to the understanding of native cfDNA characteristics, and the potential for ssDNA-LP to improve the sensitivity of circulating tumor DNA detection. Additionally, we review the current literature on the newly reported species of plasma ultrashort single-stranded cell-free DNA plasma, which appear biologically distinct from mncfDNA. We conclude with a discussion of future perspectives of ssDNA-LP for liquid biopsy endeavors.
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Affiliation(s)
- Jordan C. Cheng
- School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States
- Stanford Cancer Institute, Stanford University, Stanford, CA, United States
| | - Neeti Swarup
- School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States
| | - David T. W. Wong
- School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States
| | - David Chia
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
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24
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Ren Y, Zhang Z, She Y, He Y, Li D, Shi Y, He C, Yang Y, Zhang W, Chen C. A Highly Sensitive and Specific Non-Invasive Test through Genome-Wide 5-Hydroxymethylation Mapping for Early Detection of Lung Cancer. Small Methods 2024; 8:e2300747. [PMID: 37990399 DOI: 10.1002/smtd.202300747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 10/04/2023] [Indexed: 11/23/2023]
Abstract
Low-dose computed tomography screening can increase the detection for non-small-cell lung cancer (NSCLC). To improve the diagnostic accuracy of early-stage NSCLC detection, ultrasensitive methods are used to detect cell-free DNA (cfDNA) 5-hydroxymethylcytosine (5hmC) in plasma. Genome-wide 5hmC is profiled in 1990 cfDNA samples collected from patients with non-small cell lung cancer (NSCLC, n = 727), healthy controls (HEA, n = 1,092), as well as patients with small cell lung cancer (SCLC, n = 41), followed by sample randomization, differential analysis, feature selection, and modeling using a machine learning approach. Differentially modified features reflecting tissue origin. A weighted diagnostic model comprised of 105 features is developed to compute a detection score for each individual, which showed an area under the curve (AUC) range of 86.4%-93.1% in the internal and external validation sets for distinguishing lung cancer from HEA controls, significantly outperforming serum biomarkers (p < 0.001). The 5hmC-based model detected high-risk pulmonary nodules (AUC: 82%)and lung cancer of different subtypes with high accuracy as well. A highly sensitive and specific blood-based test is developed for detecting lung cancer. The 5hmC biomarkers in cfDNA offer a promising blood-based test for lung cancer.
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Affiliation(s)
- Yijiu Ren
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Zhou Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Yunlang She
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Yayi He
- Department of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Dongdong Li
- Shanghai Epican Genetech, Co., Ltd., Shanghai, China
| | - Yixiang Shi
- Bionova (Shanghai) Medical Technology Co., Ltd, Shanghai, China
| | - Chuan He
- Department of Chemistry, The University of Chicago, Chicago, IL, 60637, USA
- The Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, 60637, USA
| | - Yang Yang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Wei Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
- The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
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25
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Tomiyama E, Fujita K, Hashimoto M, Uemura H, Nonomura N. Urinary markers for bladder cancer diagnosis: A review of current status and future challenges. Int J Urol 2024; 31:208-219. [PMID: 37968825 DOI: 10.1111/iju.15338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 10/26/2023] [Indexed: 11/17/2023]
Abstract
Bladder cancer is a common urological cancer with a high recurrence rate that requires long-term follow-up, and early detection positively affects prognosis. To date, the initial diagnosis and follow-up for bladder cancer rely on cystoscopy, which is an invasive and expensive procedure. Therefore, urinary markers for the detection of bladder cancer have attracted research attention for decades to reduce unnecessary cystoscopies. Urine, which is in continuous contact with bladder cancer, is considered a suitable fluid for providing tumor information. Urinary cytology is the only widely used urinary marker in clinical practice; however, it has poor sensitivity for low-grade tumors; indicating the need for novel urinary markers. Considerable research has been conducted on this topic over the years, resulting in a complex landscape with a wide range of urinary markers, including protein-, exfoliated cell-, RNA-, DNA-, and extracellular vesicle-based markers. Although some of these markers have been approved by the U.S. Food and Drug Administration and are commercially available, their use in clinical practice is limited. To facilitate clinical application, potential urinary markers must withstand prospective clinical trials and be easy for patients and clinicians to understand and utilize in a clinical context. This review provides a comprehensive overview of currently available and recently reported promising urinary markers for bladder cancer. Additionally, the challenges and the prospects of these urinary markers for clinical implementation in bladder cancer treatment were discussed.
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Affiliation(s)
- Eisuke Tomiyama
- Department of Urology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Kazutoshi Fujita
- Department of Urology, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Urology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Mamoru Hashimoto
- Department of Urology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Hirotsugu Uemura
- Department of Urology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Norio Nonomura
- Department of Urology, Osaka University Graduate School of Medicine, Osaka, Japan
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26
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Khalil A, Bellesia G, Norton ME, Jacobsson B, Haeri S, Egbert M, Malone FD, Wapner RJ, Roman A, Faro R, Madankumar R, Strong N, Silver RM, Vohra N, Hyett J, Macpherson C, Prigmore B, Ahmed E, Demko Z, Ortiz JB, Souter V, Dar P. The Role of cfDNA Biomarkers and Patient Data in the Early Prediction of Preeclampsia: Artificial Intelligence Model. Am J Obstet Gynecol 2024:S0002-9378(24)00380-6. [PMID: 38432413 DOI: 10.1016/j.ajog.2024.02.299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 02/16/2024] [Accepted: 02/22/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE Accurate individualized assessment of preeclampsia risk enables the identification of patients most likely to benefit from initiation of low-dose aspirin at 12-16 weeks' gestation when there is evidence for its effectiveness, as well as guiding appropriate pregnancy care pathways and surveillance. The primary objective of this study was to evaluate the performance of artificial neural network models for the prediction of preterm preeclampsia (<37 weeks' gestation) using patient characteristics available at the first antenatal visit and data from prenatal cell-free DNA (cfDNA) screening. Secondary outcomes were prediction of early onset preeclampsia (<34 weeks' gestation) and term preeclampsia (≥37 weeks' gestation). METHODS This secondary analysis of a prospective, multicenter, observational prenatal cfDNA screening study (SMART) included singleton pregnancies with known pregnancy outcomes. Thirteen patient characteristics that are routinely collected at the first prenatal visit and two characteristics of cfDNA, total cfDNA and fetal fraction (FF), were used to develop predictive models for early-onset (<34 weeks), preterm (<37 weeks), and term (≥37 weeks) preeclampsia. For the models, the 'reference' classifier was a shallow logistic regression (LR) model. We also explored several feedforward (non-linear) neural network (NN) architectures with one or more hidden layers and compared their performance with the LR model. We selected a simple NN model built with one hidden layer and made up of 15 units. RESULTS Of 17,520 participants included in the final analysis, 72 (0.4%) developed early onset, 251 (1.4%) preterm, and 420 (2.4%) term preeclampsia. Median gestational age at cfDNA measurement was 12.6 weeks and 2,155 (12.3%) had their cfDNA measurement at 16 weeks' gestation or greater. Preeclampsia was associated with higher total cfDNA (median 362.3 versus 339.0 copies/ml cfDNA; p<0.001) and lower FF (median 7.5% versus 9.4%; p<0.001). The expected, cross-validated area under the curve (AUC) scores for early onset, preterm, and term preeclampsia were 0.782, 0.801, and 0.712, respectively for the LR model, and 0.797, 0.800, and 0.713, respectively for the NN model. At a screen-positive rate of 15%, sensitivity for preterm preeclampsia was 58.4% (95% CI 0.569, 0.599) for the LR model and 59.3% (95% CI 0.578, 0.608) for the NN model.The contribution of both total cfDNA and FF to the prediction of term and preterm preeclampsia was negligible. For early-onset preeclampsia, removal of the total cfDNA and FF features from the NN model was associated with a 6.9% decrease in sensitivity at a 15% screen positive rate, from 54.9% (95% CI 52.9-56.9) to 48.0% (95% CI 45.0-51.0). CONCLUSION Routinely available patient characteristics and cfDNA markers can be used to predict preeclampsia with performance comparable to other patient characteristic models for the prediction of preterm preeclampsia. Both LR and NN models showed similar performance.
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Affiliation(s)
- Asma Khalil
- Department of Obstetrics and Gynaecology, St. George's University Hospital, University of London, London, England, UK.
| | | | - Mary E Norton
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Gothenburg Sweden; Department of Obstetrics and Gynecology, Sahlgrenska University Hospital, Gothenburg Sweden
| | - Sina Haeri
- Austin Maternal-Fetal Medicine, Austin, TX, USA
| | | | - Fergal D Malone
- Department of Obstetrics and Gynecology, Rotunda Hospital, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ronald J Wapner
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
| | - Ashley Roman
- Department of Obstetrics and Gynecology, New York University Grossman School of Medicine, New York, NY, USA
| | - Revital Faro
- Department of Obstetrics and Gynecology, Saint Peter's University Hospital, New Brunswick, NJ
| | - Rajeevi Madankumar
- Department of Obstetrics and Gynecology, Long Island Jewish Medical Center, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA
| | - Noel Strong
- Department of Obstetrics and Gynecology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert M Silver
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT, USA
| | - Nidhi Vohra
- Department of Obstetrics and Gynecology, North Shore University Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Jon Hyett
- Department of Obstetrics and Gynecology, Royal Prince Alfred Hospital, Western Sydney University, Camperdown, NSW, Australia
| | - Cora Macpherson
- The Biostatistics Center, George Washington University, Rockville, MD, USA
| | | | | | | | | | | | - Pe'er Dar
- Department of Obstetrics and Gynecology and Women's Health, Montefiore Medical Center, Albert Einstein College of Medicine, The Bronx, NY, USA
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27
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Varzaru B, Iacob RA, Bunduc S, Manea I, Sorop A, Spiridon A, Chelaru R, Croitoru A, Topala M, Becheanu G, Dumbrava M, Dima S, Popescu I, Gheorghe C. Prognostic Value of Circulating Cell-Free DNA Concentration and Neutrophil-to-Lymphocyte Ratio in Patients with Pancreatic Ductal Adenocarcinoma: A Prospective Cohort Study. Int J Mol Sci 2024; 25:2854. [PMID: 38474101 DOI: 10.3390/ijms25052854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/25/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
Circulating cell-free DNA (ccfDNA) quantity correlates with the clinical characteristics and prognosis of various cancer types. We investigated whether ccfDNA levels and the neutrophil-to-lymphocyte ratio (NLR) have prognostic value in patients with pancreatic ductal adenocarcinoma (PDAC). Peripheral blood was collected from 82 patients with PDAC prior to any diagnostic procedure or the administration of chemotherapy. Plasma DNA was isolated, and ccfDNA concentration and NLR were determined. We found that ccfDNA levels were correlated with age and tumor burden. Moreover, higher values of NLR (≥3.31) were linked with worse overall survival (OS) (4 vs. 10 months; log rank p = 0.011), and an elevated ccfDNA concentration (≥25.79 ng/mL) was strongly associated with shorter OS (4 vs. 8 months; log rank p = 0.009). According to the results of the multivariable Cox regression analysis, the baseline concentration of ccfDNA was an independent prognostic factor for OS (HR 0.45, 95% CI 0.21-0.97, p = 0.041). Furthermore, the combination of ccfDNA levels with NLR greatly enhanced the prognostic accuracy of PDAC patients. Our study demonstrates that ccfDNA concentration and NLR are independent predictors of survival in PDAC. Subsequent studies should validate this combination as a prognostic indicator in PDAC patients and assess its utility for guiding therapeutic decisions.
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Affiliation(s)
- Bianca Varzaru
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Razvan Andrei Iacob
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
- Digestive Diseases and Liver Transplantation Center, Fundeni Clinical Institute, 022238 Bucharest, Romania
| | - Stefania Bunduc
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
- Digestive Diseases and Liver Transplantation Center, Fundeni Clinical Institute, 022238 Bucharest, Romania
| | - Ioana Manea
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Andrei Sorop
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Andreea Spiridon
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Raluca Chelaru
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Adina Croitoru
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
- Digestive Diseases and Liver Transplantation Center, Fundeni Clinical Institute, 022238 Bucharest, Romania
| | - Mihaela Topala
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Gabriel Becheanu
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
- Digestive Diseases and Liver Transplantation Center, Fundeni Clinical Institute, 022238 Bucharest, Romania
| | - Mona Dumbrava
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
- Digestive Diseases and Liver Transplantation Center, Fundeni Clinical Institute, 022238 Bucharest, Romania
| | - Simona Dima
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
- Digestive Diseases and Liver Transplantation Center, Fundeni Clinical Institute, 022238 Bucharest, Romania
| | - Irinel Popescu
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
- Digestive Diseases and Liver Transplantation Center, Fundeni Clinical Institute, 022238 Bucharest, Romania
| | - Cristian Gheorghe
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
- Digestive Diseases and Liver Transplantation Center, Fundeni Clinical Institute, 022238 Bucharest, Romania
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28
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Otsuji R, Fujioka Y, Hata N, Kuga D, Hatae R, Sangatsuda Y, Nakamizo A, Mizoguchi M, Yoshimoto K. Liquid Biopsy for Glioma Using Cell-Free DNA in Cerebrospinal Fluid. Cancers (Basel) 2024; 16:1009. [PMID: 38473369 DOI: 10.3390/cancers16051009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 02/24/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
Glioma is one of the most common primary central nervous system (CNS) tumors, and its molecular diagnosis is crucial. However, surgical resection or biopsy is risky when the tumor is located deep in the brain or brainstem. In such cases, a minimally invasive approach to liquid biopsy is beneficial. Cell-free DNA (cfDNA), which directly reflects tumor-specific genetic changes, has attracted attention as a target for liquid biopsy, and blood-based cfDNA monitoring has been demonstrated for other extra-cranial cancers. However, it is still challenging to fully detect CNS tumors derived from cfDNA in the blood, including gliomas, because of the unique structure of the blood-brain barrier. Alternatively, cerebrospinal fluid (CSF) is an ideal source of cfDNA and is expected to contribute significantly to the liquid biopsy of gliomas. Several successful studies have been conducted to detect tumor-specific genetic alterations in cfDNA from CSF using digital PCR and/or next-generation sequencing. This review summarizes the current status of CSF-based cfDNA-targeted liquid biopsy for gliomas. It highlights how the approaches differ from liquid biopsies of other extra-cranial cancers and discusses the current issues and prospects.
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Affiliation(s)
- Ryosuke Otsuji
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Yutaka Fujioka
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Nobuhiro Hata
- Department of Neurosurgery, Oita University Faculty of Medicine, Yufu 879-5593, Japan
| | - Daisuke Kuga
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Ryusuke Hatae
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Yuhei Sangatsuda
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Akira Nakamizo
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Masahiro Mizoguchi
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Neurosurgery, National Hospital Organization Kyushu Medical Center, Clinical Research Institute, Fukuoka 810-8563, Japan
| | - Koji Yoshimoto
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
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29
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Hu WJ, Yang TT, Wang YY, Yan JW. The Latest Research Progress on Cell-Free DNA and Prospects of Its Forensic Application. Fa Yi Xue Za Zhi 2024; 40:70-76. [PMID: 38500464 DOI: 10.12116/j.issn.1004-5619.2022.521001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
In recent years, with the continuous progress of DNA extraction and detection technology, cell-free DNA(cfDNA)has been widely used in the life science field, and its potential application value in forensic identification is becoming more and more obvious. This paper reviews the concept, formation mechanism, and classification of cfDNA, etc., and describes the latest research progress of cfDNA in personal identification of crime scene touch DNA samples and non-invasive prenatal paternity testing (NIPPT). Meanwhile, this paper summarizes the potential application of cfDNA in injury inference, and discusses the advantages and disadvantages of common cfDNA analysis methods and techniques, and its application prospects, to provide a new idea for the wide application of cfDNA in the field of forensic science.
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Affiliation(s)
- Wen-Jing Hu
- School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China
| | - Ting-Ting Yang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China
| | - Ya-Ya Wang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China
| | - Jiang-Wei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China
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30
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Őrfi Z, Meggyesi N, Varga L, Bors A, Gopcsa L, Paksi M, Lakatos V, Kállay K, Kriván G, Jónás A, Tordai A, Vályi-Nagy I, Reményi P, Andrikovics H. [Detection of microchimerism with high sensitivity droplet digital PCR technique and its significance in monitoring of hematopoietic stem cell transplanted patients]. Orv Hetil 2024; 165:297-308. [PMID: 38402532 DOI: 10.1556/650.2024.32995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 01/05/2024] [Indexed: 02/26/2024]
Affiliation(s)
- Zoltán Őrfi
- 1 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Molekuláris Genetikai Laboratórium Budapest, Albert Flórián út 5-7., 1097 Magyarország
| | - Nóra Meggyesi
- 1 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Molekuláris Genetikai Laboratórium Budapest, Albert Flórián út 5-7., 1097 Magyarország
| | - Lívia Varga
- 1 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Molekuláris Genetikai Laboratórium Budapest, Albert Flórián út 5-7., 1097 Magyarország
| | - András Bors
- 1 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Molekuláris Genetikai Laboratórium Budapest, Albert Flórián út 5-7., 1097 Magyarország
| | - László Gopcsa
- 2 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Hematológiai és Őssejt-transzplantációs Osztály Budapest Magyarország
| | - Melinda Paksi
- 2 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Hematológiai és Őssejt-transzplantációs Osztály Budapest Magyarország
| | - Viktor Lakatos
- 2 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Hematológiai és Őssejt-transzplantációs Osztály Budapest Magyarország
| | - Krisztián Kállay
- 3 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Gyermekhematológiai és Őssejt-transzplantációs Osztály Budapest Magyarország
| | - Gergely Kriván
- 3 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Gyermekhematológiai és Őssejt-transzplantációs Osztály Budapest Magyarország
| | - Alexa Jónás
- 4 Semmelweis Egyetem, Általános Orvostudományi Kar, Transzfuziológiai Tanszék Budapest Magyarország
| | - Attila Tordai
- 4 Semmelweis Egyetem, Általános Orvostudományi Kar, Transzfuziológiai Tanszék Budapest Magyarország
| | - István Vályi-Nagy
- 2 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Hematológiai és Őssejt-transzplantációs Osztály Budapest Magyarország
| | - Péter Reményi
- 2 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Hematológiai és Őssejt-transzplantációs Osztály Budapest Magyarország
| | - Hajnalka Andrikovics
- 1 Dél-pesti Centrumkórház, Országos Hematológiai és Infektológiai Intézet, Molekuláris Genetikai Laboratórium Budapest, Albert Flórián út 5-7., 1097 Magyarország
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31
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Liu D, Yehia L, Dhawan A, Ni Y, Eng C. Cell-free DNA fragmentomics and second malignant neoplasm risk in patients with PTEN hamartoma tumor syndrome. Cell Rep Med 2024; 5:101384. [PMID: 38242121 PMCID: PMC10897513 DOI: 10.1016/j.xcrm.2023.101384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 11/01/2023] [Accepted: 12/20/2023] [Indexed: 01/21/2024]
Abstract
Individuals with PTEN hamartoma tumor syndrome (PHTS) harbor pathogenic germline PTEN variants that confer a significantly increased lifetime risk of various organ-specific cancers including second primary malignant neoplasms (SMNs). Currently, there are no reliable biomarkers that can predict individual-level cancer risk. Despite the highly promising value of cell-free DNA (cfDNA) as a biomarker for underlying sporadic cancers, the utility of cfDNA in individuals with known cancer-associated germline variants and subclinical cancers remains poorly understood. We perform ultra-low-pass whole-genome sequencing (ULP-WGS) of cfDNA from plasma samples from patients with PHTS and cancer as well as those without cancer. Analysis of cfDNA reveals that patients with PHTS and SMNs have distinct cfDNA size distribution, aberrant genome-wide fragmentation, and differential fragment end motif frequencies. Our work provides evidence that cfDNA profiles may be used as a marker for SMN risk in patients with PHTS.
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Affiliation(s)
- Darren Liu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, USA
| | - Lamis Yehia
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Andrew Dhawan
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Personalized Genetic Healthcare, Medical Specialties Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Ying Ni
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, USA; Center for Immunotherapy and Precision Immuno-oncology, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Charis Eng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, USA; Center for Personalized Genetic Healthcare, Medical Specialties Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA; Germline High Risk Cancer Focus Group, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA.
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32
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Herzog C, Jones A, Evans I, Reisel D, Olaitan A, Doufekas K, MacDonald N, Rådestad AF, Gemzell-Danielsson K, Zikan M, Cibula D, Dostálek L, Paprotka T, Leimbach A, Schmitt M, Ryan A, Gentry-Maharaj A, Apostolidou S, Rosenthal AN, Menon U, Widschwendter M. Plasma cell-free DNA methylation analysis for ovarian cancer detection: Analysis of samples from a case-control study and an ovarian cancer screening trial. Int J Cancer 2024; 154:679-691. [PMID: 37861205 DOI: 10.1002/ijc.34757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 10/21/2023]
Abstract
Analysis of cell-free DNA methylation (cfDNAme), alone or combined with CA125, could help to detect ovarian cancers earlier and may reduce mortality. We assessed cfDNAme in regions of ZNF154, C2CD4D and WNT6 via targeted bisulfite sequencing in diagnostic and early detection (preceding diagnosis) settings. Diagnostic samples were obtained via prospective blood collection in cell-free DNA tubes in a convenience series of patients with a pelvic mass. Early detection samples were matched case-control samples derived from the UK Familial Ovarian Cancer Screening Study (UKFOCSS). In the diagnostic set (ncases = 27, ncontrols = 41), the specificity of cfDNAme was 97.6% (95% CI: 87.1%-99.9%). High-risk cancers were detected with a sensitivity of 80% (56.3%-94.3%). Combination of cfDNAme and CA125 resulted in a sensitivity of 94.4% (72.7%-99.9%) for high-risk cancers. Despite technical issues in the early detection set (ncases = 29, ncontrols = 29), the specificity of cfDNAme was 100% (88.1%-100.0%). We detected 27.3% (6.0%-61.0%) of high-risk cases with relatively lower genomic DNA (gDNA) contamination. The sensitivity rose to 33.3% (7.5%-70.1%) in samples taken <1 year before diagnosis. We detected ovarian cancer in several patients up to 1 year before diagnosis despite technical limitations associated with archival samples (UKFOCSS). Combined cfDNAme and CA125 assessment may improve ovarian cancer screening in high-risk populations, but future large-scale prospective studies will be required to validate current findings.
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Affiliation(s)
- Chiara Herzog
- European Translational Oncology Prevention and Screening (EUTOPS) Institute, Hall in Tirol, Austria
- Research Institute for Biomedical Aging Research, Universität Innsbruck, Innsbruck, Austria
| | - Allison Jones
- Department of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK
| | - Iona Evans
- Department of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK
| | - Daniel Reisel
- Department of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK
| | - Adeola Olaitan
- Department of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK
| | - Konstantinos Doufekas
- Department of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK
| | - Nicola MacDonald
- Department of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK
| | - Angelique Flöter Rådestad
- Department of Women's and Children's Health, Division of Obstetrics and Gynecology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Kristina Gemzell-Danielsson
- Department of Women's and Children's Health, Division of Obstetrics and Gynecology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Michal Zikan
- Department of Gynecology and Obstetrics, Charles University in Prague, First Faculty of Medicine and Hospital, Na Bulovce, Czech Republic
| | - David Cibula
- Department of Gynaecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University, Prague and, General University Hospital, Prague, Czech Republic
| | - Lukáš Dostálek
- Department of Gynaecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University, Prague and, General University Hospital, Prague, Czech Republic
| | | | | | - Markus Schmitt
- Eurofins Genomics Europe Sequencing GmbH, Konstanz, Germany
| | - Andy Ryan
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Aleksandra Gentry-Maharaj
- Department of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Sophia Apostolidou
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Adam N Rosenthal
- Department of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK
| | - Usha Menon
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Martin Widschwendter
- European Translational Oncology Prevention and Screening (EUTOPS) Institute, Hall in Tirol, Austria
- Research Institute for Biomedical Aging Research, Universität Innsbruck, Innsbruck, Austria
- Department of Women's Cancer, UCL EGA Institute for Women's Health, University College London, London, UK
- Department of Women's and Children's Health, Division of Obstetrics and Gynecology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
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33
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Shtumpf M, Jeong S, Bikova M, Mamayusupova H, Ruje L, Teif VB. Aging clock based on nucleosome reorganisation derived from cell-free DNA. Aging Cell 2024:e14100. [PMID: 38337183 DOI: 10.1111/acel.14100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024] Open
Abstract
Aging induces systematic changes in the distribution of nucleosomes, which affect gene expression programs. Here we reconstructed nucleosome maps based on cell-free DNA (cfDNA) extracted from blood plasma using four cohorts of people of different ages. We show that nucleosomes tend to be separated by larger genomic distances in older people, and age correlates with the nucleosome repeat length (NRL). Furthermore, we developed the first aging clock based on cfDNA nucleosomics. Machine learning based on cfDNA distance distributions allowed predicting person's age with the median absolute error of 3-3.5 years.
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Affiliation(s)
- Mariya Shtumpf
- School of Life Sciences, University of Essex, Colchester, UK
| | - Seihee Jeong
- School of Life Sciences, University of Essex, Colchester, UK
| | - Milena Bikova
- School of Life Sciences, University of Essex, Colchester, UK
| | | | - Luminita Ruje
- School of Life Sciences, University of Essex, Colchester, UK
| | - Vladimir B Teif
- School of Life Sciences, University of Essex, Colchester, UK
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34
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Shao J, Olsen RJ, Kasparian S, He C, Bernicker EH, Li Z. Cell-Free DNA 5-Hydroxymethylcytosine Signatures for Lung Cancer Prognosis. Cells 2024; 13:298. [PMID: 38391911 PMCID: PMC10886903 DOI: 10.3390/cells13040298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/01/2024] [Accepted: 02/04/2024] [Indexed: 02/24/2024] Open
Abstract
Accurate prognostic markers are essential for guiding effective lung cancer treatment strategies. The level of 5-hydroxymethylcytosine (5hmC) in tissue is independently associated with overall survival (OS) in lung cancer patients. We explored the prognostic value of cell-free DNA (cfDNA) 5hmC through genome-wide analysis of 5hmC in plasma samples from 97 lung cancer patients. In both training and validation sets, we discovered a cfDNA 5hmC signature significantly associated with OS in lung cancer patients. We built a 5hmC prognostic model and calculated the weighted predictive scores (wp-score) for each sample. Low wp-scores were significantly associated with longer OS compared to high wp-scores in the training [median 22.9 versus 8.2 months; p = 1.30 × 10-10; hazard ratio (HR) 0.04; 95% confidence interval (CI), 0.00-0.16] and validation (median 18.8 versus 5.2 months; p = 0.00059; HR 0.22; 95% CI: 0.09-0.57) sets. The 5hmC signature independently predicted prognosis and outperformed age, sex, smoking, and TNM stage for predicting lung cancer outcomes. Our findings reveal critical genes and signaling pathways with aberrant 5hmC levels, enhancing our understanding of lung cancer pathophysiology. The study underscores the potential of cfDNA 5hmC as a superior prognostic tool for guiding more personalized therapeutic strategies for lung cancer patients.
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Affiliation(s)
- Jianming Shao
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, TX 77030, USA
- Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Randall J. Olsen
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, TX 77030, USA
- Houston Methodist Research Institute, Houston, TX 77030, USA
- Weill Cornell Medical College, New York, NY 10065, USA
| | - Saro Kasparian
- Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA
- Department of Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Chuan He
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL 60637, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL 60637, USA
| | | | - Zejuan Li
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, TX 77030, USA
- Houston Methodist Research Institute, Houston, TX 77030, USA
- Weill Cornell Medical College, New York, NY 10065, USA
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35
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Henriksen TV, Demuth C, Frydendahl A, Nors J, Nesic M, Rasmussen MH, Reinert T, Larsen OH, Jaensch C, Løve US, Andersen PV, Kolbro T, Thorlacius-Ussing O, Monti A, Gögenur M, Kildsig J, Bondeven P, Schlesinger NH, Iversen LH, Gotschalck KA, Andersen CL. Unraveling the potential clinical utility of circulating tumor DNA detection in colorectal cancer-evaluation in a nationwide Danish cohort. Ann Oncol 2024; 35:229-239. [PMID: 37992872 DOI: 10.1016/j.annonc.2023.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 09/29/2023] [Accepted: 11/13/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND Increasingly, circulating tumor DNA (ctDNA) is proposed as a tool for minimal residual disease (MRD) assessment. Digital PCR (dPCR) offers low analysis costs and turnaround times of less than a day, making it ripe for clinical implementation. Here, we used tumor-informed dPCR for ctDNA detection in a large colorectal cancer (CRC) cohort to evaluate the potential for post-operative risk assessment and serial monitoring, and how the metastatic site may impact ctDNA detection. Additionally, we assessed how altering the ctDNA-calling algorithm could customize performance for different clinical settings. PATIENTS AND METHODS Stage II-III CRC patients (N = 851) treated with a curative intent were recruited. Based on whole-exome sequencing on matched tumor and germline DNA, a mutational target was selected for dPCR analysis. Plasma samples (8 ml) were collected within 60 days after operation and-for a patient subset (n = 246)-every 3-4 months for up to 36 months. Single-target dPCR was used for ctDNA detection. RESULTS Both post-operative and serial ctDNA detection were prognostic of recurrence [hazard ratio (HR) = 11.3, 95% confidence interval (CI) 7.8-16.4, P < 0.001; HR = 30.7, 95% CI 20.2-46.7, P < 0.001], with a cumulative ctDNA detection rate of 87% at the end of sample collection in recurrence patients. The ctDNA growth rate was prognostic of survival (HR = 2.6, 95% CI 1.5-4.4, P = 0.001). In recurrence patients, post-operative ctDNA detection was challenging for lung metastases (4/21 detected) and peritoneal metastases (2/10 detected). By modifying the cut-off for calling a sample ctDNA positive, we were able to adjust the sensitivity and specificity of our test for different clinical contexts. CONCLUSIONS The presented results from 851 stage II-III CRC patients demonstrate that our personalized dPCR approach effectively detects MRD after operation and shows promise for serial ctDNA detection for recurrence surveillance. The ability to adjust sensitivity and specificity shows exciting potential to customize the ctDNA caller for specific clinical settings.
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Affiliation(s)
- T V Henriksen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus; Department of Clinical Medicine, Aarhus University, Aarhus
| | - C Demuth
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus; Department of Clinical Medicine, Aarhus University, Aarhus
| | - A Frydendahl
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus; Department of Clinical Medicine, Aarhus University, Aarhus
| | - J Nors
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus; Department of Clinical Medicine, Aarhus University, Aarhus
| | - M Nesic
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus; Department of Clinical Medicine, Aarhus University, Aarhus
| | - M H Rasmussen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus; Department of Clinical Medicine, Aarhus University, Aarhus
| | - T Reinert
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus; Department of Clinical Medicine, Aarhus University, Aarhus
| | - O H Larsen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus; Department of Clinical Medicine, Aarhus University, Aarhus
| | - C Jaensch
- Department of Surgery, Regional Hospital Gødstrup, Herning
| | - U S Løve
- Department of Surgery, Regional Hospital Viborg, Viborg
| | - P V Andersen
- Department of Surgery, Odense University Hospital, Odense
| | - T Kolbro
- Department of Surgery, Odense University Hospital, Svendborg
| | | | - A Monti
- Department of Surgery, North Denmark Regional Hospital Hjørring, Hjørring
| | - M Gögenur
- Center for Surgical Sciences, Zealand University Hospital, Køge
| | - J Kildsig
- Department of Surgery, Copenhagen University Hospital, Herlev
| | - P Bondeven
- Department of Surgery, Regional Hospital Randers, Randers
| | - N H Schlesinger
- Department of Surgery, Copenhagen University Hospital, Bispebjerg
| | - L H Iversen
- Department of Surgery, Aarhus University Hospital, Aarhus
| | - K A Gotschalck
- Department of Surgery, Regional Hospital Horsens, Horsens, Denmark
| | - C L Andersen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus; Department of Clinical Medicine, Aarhus University, Aarhus.
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36
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Wang M, Lv X, Wang Y, Li Y, Li H, Shen Z, Zhao L. Biomarkers of peripheral blood neutrophil extracellular traps in the diagnosis and progression of malignant tumors. Cancer Med 2024; 13:e6935. [PMID: 38230764 PMCID: PMC10905219 DOI: 10.1002/cam4.6935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 12/20/2023] [Accepted: 12/24/2023] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND AND AIMS The mortality rate associated with malignant tumors remains high and there is a lack of effective diagnostic and tumor progression markers. Neutrophil extracellular traps (NETs) can promote tumor-associated thrombosis, invasive metastasis, and inflammatory responses, but there is a lack of research on the value of measuring NETs in the peripheral blood of patients with malignancies. METHODS We included 263 patients with malignancies (55 gliomas, 101 ovarian, 64 colorectal, and 43 lung cancers) and 75 healthy controls in this study. We compared the levels of citrullinated histone H3 (citH3), cell-free DNA (cfDNA), and systemic inflammation-related parameters, including neutrophils, lymphocytes, monocytes, platelets, neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic immune inflammation index, and systemic inflammation response index. We assessed the value of changes in NETs in peripheral blood to determine the diagnosis, venous thromboembolism, clinical staging, and systemic inflammatory response in patients with malignancy. RESULTS The levels of citH3 and cfDNA in peripheral blood can distinguish between healthy controls and tumor patients. The levels of citH3 and cfDNA before clinical intervention did not predict the risk of combined venous thromboembolism in oncology patients in the short-term after clinical intervention. The levels of citH3, cfDNA, and systemic inflammation-related parameters in the peripheral blood of tumor patients increased with the clinical stage. There was a correlation between cfDNA levels in peripheral blood and systemic inflammation-related parameters in tumor patients, and this correlation was more significant in patients with advanced tumors. CONCLUSIONS Changes in NETs in the peripheral blood differ between healthy controls and patients with malignant tumors. NETs may be involved in tumor-induced systemic inflammatory responses through interaction with circulating inflammatory cells, thus promoting tumor progression. NETs may be used as markers to assist in the diagnosis and progression of tumor malignancy.
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Affiliation(s)
- Min Wang
- Department of Blood TransfusionSecond Hospital of Jilin UniversityChangchunChina
| | - Xiaoyan Lv
- Department of Experimental MedicineSecond Hospital of Jilin UniversityChangchunChina
| | - Ying Wang
- Department of Experimental MedicineSecond Hospital of Jilin UniversityChangchunChina
| | - Yao Li
- Department of Blood TransfusionSecond Hospital of Jilin UniversityChangchunChina
| | - Honghong Li
- Department of Blood TransfusionSecond Hospital of Jilin UniversityChangchunChina
| | - Zhongjun Shen
- Department of Blood TransfusionSecond Hospital of Jilin UniversityChangchunChina
| | - Liyan Zhao
- Department of Blood TransfusionSecond Hospital of Jilin UniversityChangchunChina
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Sundby RT, Rhodes SD, Komlodi-Pasztor E, Sarnoff H, Grasso V, Upadhyaya M, Kim A, Evans DG, Blakeley JO, Hanemann CO, Bettegowda C. Recommendations for the collection and annotation of biosamples for analysis of biomarkers in neurofibromatosis and schwannomatosis clinical trials. Clin Trials 2024; 21:40-50. [PMID: 37904489 PMCID: PMC10922556 DOI: 10.1177/17407745231203330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
INTRODUCTION Neurofibromatosis 1 and schwannomatosis are characterized by potential lifelong morbidity and life-threatening complications. To date, however, diagnostic and predictive biomarkers are an unmet need in this patient population. The inclusion of biomarker discovery correlatives in neurofibromatosis 1/schwannomatosis clinical trials enables study of low-incidence disease. The implementation of a common data model would further enhance biomarker discovery by enabling effective concatenation of data from multiple studies. METHODS The Response Evaluation in Neurofibromatosis and Schwannomatosis biomarker working group reviewed published data on emerging trends in neurofibromatosis 1 and schwannomatosis biomarker research and developed recommendations in a series of consensus meetings. RESULTS Liquid biopsy has emerged as a promising assay for neurofibromatosis 1/schwannomatosis biomarker discovery and validation. In addition, we review recommendations for a range of biomarkers in clinical trials, neurofibromatosis 1/schwannomatosis-specific data annotations, and common data models for data integration. CONCLUSION These Response Evaluation in Neurofibromatosis and Schwannomatosis consensus guidelines are intended to provide best practices for the inclusion of biomarker studies in neurofibromatosis 1/schwannomatosis clinical trials, data, and sample annotation and to lay a framework for data harmonization and concatenation between trials.
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Affiliation(s)
- R Taylor Sundby
- Pediatric Oncology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Steven D Rhodes
- Division of Hematology/Oncology/Stem Cell Transplant, Department of Pediatrics, Herman B Wells Center for Pediatric Research, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Edina Komlodi-Pasztor
- Department of Neurology, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Herb Sarnoff
- Research and Development, Infixion Bioscience, Inc., San Diego, CA, USA
- Patient Representative, REiNS International Collaboration, San Diego, CA, USA
| | - Vito Grasso
- Neural Stem Cell Institute, Rensselaer, NY, USA
- Patient Representative, REiNS International Collaboration, Troy, NY, USA
| | - Meena Upadhyaya
- Division of Cancer and Genetics, Cardiff University, Wales, UK
| | - AeRang Kim
- Center for Cancer and Blood Disorders, Children’s National Hospital, Washington, DC, USA
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester Academic Health Sciences Centre (MAHSC), ERN GENTURIS, Division of Evolution, Infection and Genomics, The University of Manchester, Manchester, UK
| | - Jaishri O Blakeley
- Division of Neuro-Oncology, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | | | - Chetan Bettegowda
- Department of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
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McGowan EC, O'Brien H, Sarri ME, Lopez GH, Daly JJ, Flower RL, Gardener GJ, Hyland CA. Feasibility for non-invasive prenatal fetal blood group and platelet genotyping by massively parallel sequencing: A single test system for multiple atypical red cell, platelet and quality control markers. Br J Haematol 2024; 204:694-705. [PMID: 37984869 DOI: 10.1111/bjh.19197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 10/30/2023] [Accepted: 10/30/2023] [Indexed: 11/22/2023]
Abstract
Non-invasive prenatal tests (NIPT) to predict fetal red cell or platelet antigen status for alloimmunised women are provided for select antigens. This study reports on massively parallel sequencing (MPS) using a red cell and platelet probe panel targeting multiple nucleotide variants, plus individual identification single nucleotide polymorphisms (IISNPs). Maternal blood samples were provided from 33 alloimmunised cases, including seven with two red cell antibodies. Cell-free and genomic DNA was sequenced using targeted MPS and bioinformatically analysed using low-frequency variant detection. The resulting maternal genomic DNA allele frequency was subtracted from the cell-free DNA counterpart. Outcomes were matched against validated phenotyping/genotyping methods, where available. A 2.5% subtractive allele frequency threshold was set after comparing MPS predictions for K, RhC/c, RhE/e and Fya /Fyb against expected outcomes. This threshold was used for subsequent predictions, including HPA-15a, Jka /Jkb , Kpa /Kpb and Lua . MPS outcomes were 97.2% concordant with validated methods; one RhC case was discordantly negative and lacked IISNPs. IISNPs were informative for 30/33 cases as controls. NIPT MPS is feasible for fetal blood group genotyping and covers multiple blood groups and control targets in a single test. Noting caution for the Rh system, this has the potential to provide a personalised service for alloimmunised women.
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Affiliation(s)
- Eunike C McGowan
- Research and Development, Australian Red Cross Lifeblood, Kelvin Grove, Queensland, Australia
| | - Helen O'Brien
- Research and Development, Australian Red Cross Lifeblood, Kelvin Grove, Queensland, Australia
- Red Cell Reference Laboratory, Australian Red Cross Lifeblood, Kelvin Grove, Queensland, Australia
| | - Mia E Sarri
- Research and Development, Australian Red Cross Lifeblood, Kelvin Grove, Queensland, Australia
| | - Genghis H Lopez
- Research and Development, Australian Red Cross Lifeblood, Kelvin Grove, Queensland, Australia
- School of Health, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - James J Daly
- Pathology Services, Australian Red Cross Lifeblood, Kelvin Grove, Queensland, Australia
| | - Robert L Flower
- Research and Development, Australian Red Cross Lifeblood, Kelvin Grove, Queensland, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Glenn J Gardener
- Maternal Fetal Medicine, Mater Mothers' Hospital, South Brisbane, Queensland, Australia
| | - Catherine A Hyland
- Research and Development, Australian Red Cross Lifeblood, Kelvin Grove, Queensland, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
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Roznik K, Andargie TE, Johnston TS, Gordon O, Wang Y, Peart Akindele N, Persaud D, Antar AAR, Manabe YC, Zhou W, Ji H, Agbor-Enoh S, Karaba AH, Thompson EA, Cox AL. Emergency myelopoiesis distinguishes multisystem inflammatory syndrome in children from pediatric severe COVID-19. J Infect Dis 2024:jiae032. [PMID: 38299308 DOI: 10.1093/infdis/jiae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 12/18/2023] [Accepted: 01/22/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Multisystem inflammatory syndrome in children (MIS-C) is a hyperinflammatory condition caused by recent SARS-CoV-2 infection, but the underlying immunological mechanisms driving this distinct syndrome are unknown. METHODS We utilized high dimensional flow cytometry, cell-free (cf) DNA, and cytokine and chemokine profiling to identify mechanisms of critical illness distinguishing MIS-C from severe acute COVID-19 (SAC). RESULTS Compared to SAC, MIS-C patients demonstrated profound innate immune cell death and features of emergency myelopoiesis (EM), an understudied phenomenon observed in severe inflammation. EM signatures were characterized by fewer mature myeloid cells in the periphery and decreased expression of HLA-DR and CD86 on antigen presenting cells. IL-27, a cytokine known to drive hematopoietic stem cells towards EM, was increased in MIS-C, and correlated with immature cell signatures in MIS-C. Upon recovery, EM signatures decreased, and IL-27 plasma levels returned to normal levels. Despite profound lymphopenia, we report a lack of cfDNA released by adaptive immune cells and increased CCR7 expression on T cells indicative of egress out of peripheral blood. CONCLUSIONS Immune cell signatures of EM combined with elevated innate immune cell-derived cfDNA levels distinguish MIS-C from SAC in children and provide mechanistic insight into dysregulated immunity contributing towards MIS-C, offering potential diagnostic and therapeutic targets.
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Affiliation(s)
- Katerina Roznik
- Johns Hopkins Bloomberg School of Public Health, W. Harry Feinstone Department of Molecular Microbiology and Immunology, Baltimore, Maryland, USA
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Temesgen E Andargie
- Genomic Research Alliance for Transplantation and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), The National Institutes of Health, Bethesda, Maryland, USA
- Department of Biology, Howard University, Washington DC, USA
| | - T Scott Johnston
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Oren Gordon
- Infectious Diseases Unit, Department of Pediatrics, Faculty of Medicine, Hadassah Medical Center, Hebrew University of Jerusalem, Jerusalem, Israel
- Johns Hopkins University School of Medicine, Department of Pediatrics, Baltimore, Maryland, USA
| | - Yi Wang
- Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics, Baltimore, Maryland, USA
| | - Nadine Peart Akindele
- Johns Hopkins University School of Medicine, Department of Pediatrics, Baltimore, Maryland, USA
| | - Deborah Persaud
- Johns Hopkins Bloomberg School of Public Health, W. Harry Feinstone Department of Molecular Microbiology and Immunology, Baltimore, Maryland, USA
- Johns Hopkins University School of Medicine, Department of Pediatrics, Baltimore, Maryland, USA
| | - Annukka A R Antar
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Yukari C Manabe
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Weiqiang Zhou
- Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics, Baltimore, Maryland, USA
| | - Hongkai Ji
- Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics, Baltimore, Maryland, USA
| | - Sean Agbor-Enoh
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
- Genomic Research Alliance for Transplantation and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), The National Institutes of Health, Bethesda, Maryland, USA
| | - Andrew H Karaba
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Elizabeth A Thompson
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Andrea L Cox
- Johns Hopkins Bloomberg School of Public Health, W. Harry Feinstone Department of Molecular Microbiology and Immunology, Baltimore, Maryland, USA
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
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Lee KS, Lee CK, Kwon SS, Kwon WS, Park S, Lee ST, Choi JR, Rha SY, Shin S. Clinical relevance of clonal hematopoiesis and its interference in cell-free DNA profiling of patients with gastric cancer. Clin Chem Lab Med 2024; 62:178-186. [PMID: 37435889 DOI: 10.1515/cclm-2023-0261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/02/2023] [Indexed: 07/13/2023]
Abstract
OBJECTIVES Clonal hematopoiesis (CH) is a condition in which healthy individuals have somatic mutations in hematopoietic stem cells. It has been reported with increased risk of hematologic malignancy and cardiovascular disease in the general population, but studies of Korean populations with comorbid disease entities are scarce. METHODS White blood cells (WBCs) from patients with gastric cancer (GC) (n=121) were analyzed using a DNA-based targeted (531 genes) panel with customized pipeline designed to detect single nucleotide variants and small indels with low-allele-frequency of ≥0.2 %. We defined significant CH variants as having variant allele frequency (VAF) ≥2 % among variants found in WBCs. Matched cell-free DNA (cfDNA) samples were also analyzed with the same pipeline to investigate the false-positive results caused by WBC variants in cfDNA profiling. RESULTS Significant CH variants were detected in 29.8 % of patients and were associated with age and male sex. The number of CH variants was associated with a history of anti-cancer therapy and age. DNMT3A and TET2 were recurrently mutated. Overall survival rate of treatment-naïve patients with stage IV GC was higher in those with CH, but Cox regression showed no significant association after adjustment for age, sex, anti-cancer therapy, and smoking history. In addition, we analyzed the potential interference of WBC variants in plasma cell-free DNA testing, which has attracted interest as a complementary method for tissue biopsy. Results showed that 37.0 % (47/127) of plasma specimens harbored at least one WBC variant. VAFs of interfering WBC variants in the plasma and WBC were correlated, and WBC variants with VAF ≥4 % in WBC were frequently detected in plasma with the same VAF. CONCLUSIONS This study revealed the clinical impact of CH in Korean patients and suggests the potential for its interference in cfDNA tests.
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Affiliation(s)
- Kwang Seob Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Choong-Kun Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Soon Sung Kwon
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Woo Sun Kwon
- Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sejung Park
- Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Dxome, Seoul, Republic of Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Dxome, Seoul, Republic of Korea
| | - Sun Young Rha
- Dxome, Seoul, Republic of Korea
- Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Saeam Shin
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
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Wang F, Li X, Li M, Liu W, Lu L, Li Y, Chen X, Yang S, Liu T, Cheng W, Weng L, Wang H, Lu D, Yao Q, Wang Y, Wu J, Wittkop T, Faham M, Zhou H, Hu H, Jin H, Hu Z, Ma D, Cheng X. Ultra-short cell-free DNA fragments enhance cancer early detection in a multi-analyte blood test combining mutation, protein and fragmentomics. Clin Chem Lab Med 2024; 62:168-177. [PMID: 37678194 DOI: 10.1515/cclm-2023-0541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/21/2023] [Indexed: 09/09/2023]
Abstract
OBJECTIVES Cancer morbidity and mortality can be reduced if the cancer is detected early. Cell-free DNA (cfDNA) fragmentomics emerged as a novel epigenetic biomarker for early cancer detection, however, it is still at its infancy and requires technical improvement. We sought to apply a single-strand DNA sequencing technology, for measuring genetic and fragmentomic features of cfDNA and evaluate the performance in detecting multiple cancers. METHODS Blood samples of 364 patients from six cancer types (colorectal, esophageal, gastric, liver, lung, and ovarian cancers) and 675 healthy individuals were included in this study. Circulating tumor DNA mutations, cfDNA fragmentomic features and a set of protein biomarkers were assayed. Sensitivity and specificity were reported by cancer types and stages. RESULTS Circular Ligation Amplification and sequencing (CLAmp-seq), a single-strand DNA sequencing technology, yielded a population of ultra-short fragments (<100 bp) than double-strand DNA preparation protocols and reveals a more significant size difference between cancer and healthy cfDNA fragments (25.84 bp vs. 16.05 bp). Analysis of the subnucleosomal peaks in ultra-short cfDNA fragments indicates that these peaks are regulatory element "footprints" and correlates with gene expression and cancer stages. At 98 % specificity, a prediction model using ctDNA mutations alone showed an overall sensitivity of 46 %; sensitivity reaches 60 % when protein is added, sensitivity further increases to 66 % when fragmentomics is also integrated. More improvements observed for samples representing earlier cancer stages than later ones. CONCLUSIONS These results suggest synergistic properties of protein, genetic and fragmentomics features in the identification of early-stage cancers.
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Affiliation(s)
- Fenfen Wang
- Gynecological Oncology Department, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, P.R. China
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China
- Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, P.R. China
| | - Xinxing Li
- Department of Gastrointestinal Surgery, Tongji Hospital Medical College of Tongji University, Shanghai, P.R. China
| | - Mengxing Li
- Department of Thoracic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, P.R. China
| | - Wendi Liu
- Department of Hepatobiliary Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, P.R. China
| | - Lingjia Lu
- Gynecological Oncology Department, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, P.R. China
| | - Yang Li
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China
- Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Reproductive Health Research, Hangzhou, P.R. China
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Hangzhou, P.R. 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, P.R. China
- Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Reproductive Health Research, Hangzhou, P.R. China
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Hangzhou, P.R. China
| | - Siqi Yang
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Hangzhou, P.R. China
| | - Tao Liu
- Department of Thoracic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, P.R. China
| | - Wen Cheng
- Department of Thoracic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, P.R. China
| | - Li Weng
- Department of Research and Development, AccuraGen Inc., San Jose, CA, USA
| | - Hongyan Wang
- Department of Research and Development, Shanghai Yunsheng Medical Laboratory Co., Ltd., Shanghai, P.R. China
| | - Dongsheng Lu
- Department of Bioinformatics, Shanghai Yunsheng Medical Laboratory Co., Ltd., Shanghai, P.R. China
| | - Qianqian Yao
- Department of Medical Science, Shanghai Yunsheng Medical Laboratory Co., Ltd., Shanghai, P.R. China
| | - Yingyu Wang
- Department of Bioinformatics, AccuraGen Inc., San Jose, CA, USA
| | - Johnny Wu
- Department of Bioinformatics, AccuraGen Inc., San Jose, CA, USA
| | - Tobias Wittkop
- Department of Bioinformatics, AccuraGen Inc., San Jose, CA, USA
| | | | - Huabang Zhou
- Department of Hepatobiliary Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, P.R. China
| | - Heping Hu
- Department of Hepatobiliary Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, P.R. China
| | - Hai Jin
- Department of Thoracic Surgery, Shanghai Changhai Hospital, Shanghai, P.R. China
| | - Zhiqian Hu
- Department of Gastrointestinal Surgery, Tongji Hospital Medical College of Tongji University, Shanghai, P.R. China
- Department of General Surgery, Changzheng Hospital Naval Medical University, Shanghai, P.R. China
| | - Ding Ma
- Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Xiaodong Cheng
- Gynecological Oncology Department, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, P.R. China
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China
- Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, P.R. China
- Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Reproductive Health Research, Hangzhou, P.R. China
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Janovičová Ľ, Holániová D, Vlková B, Celec P. Pre-Analytical Factors Affecting Extracellular DNA in Saliva. Diagnostics (Basel) 2024; 14:249. [PMID: 38337765 PMCID: PMC10855236 DOI: 10.3390/diagnostics14030249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024] Open
Abstract
Salivary DNA is widely used for genetic analyses because of its easy collection. However, its extracellular fraction in particular, similar to the extracellular DNA (ecDNA) in plasma, could be a promising biomarker for oral or systemic diseases. In contrast to genetics, the quantity of salivary ecDNA is of importance and can be affected by the pre-analytical processing of samples, but the details are not known. The aim of our study was to analyze the effects of centrifugation and freezing of saliva on the concentration of ecDNA in saliva. Fifteen healthy volunteers, free of any known systemic or oral diseases, were asked to collect unstimulated saliva samples. Aliquots were centrifuged at 1600× g and frozen or directly processed. The fresh or thawed cell-free saliva samples underwent subsequent centrifugation at 16,000× g. The supernatants were used for DNA isolation and quantification using fluorometry and real-time PCR. While freezing had minimal effects on the salivary ecDNA concentration, another centrifugation step decreased ecDNA considerably in both fresh and frozen samples (by 97.8% and 98.4%, respectively). This was mirrored in the quantitative PCR targeting a nuclear (decrease by 93.5%) and mitochondrial (decrease by 97.7%) ecDNA sequence. In conclusion, in this first study focusing on the technical aspects of salivary ecDNA quantitation, we show that, regardless of its subcellular origin, the concentration of ecDNA in saliva is mainly affected by additional centrifugation and not by the freezing of centrifuged cell-free saliva samples. This suggests that most salivary ecDNA likely is associated with cell debris and apoptotic bodies. Which fraction is affected by a particular disease should be the focus of further targeted studies.
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Affiliation(s)
- Ľubica Janovičová
- Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia; (Ľ.J.); (D.H.); (B.V.)
| | - Dominika Holániová
- Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia; (Ľ.J.); (D.H.); (B.V.)
| | - Barbora Vlková
- Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia; (Ľ.J.); (D.H.); (B.V.)
| | - Peter Celec
- Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia; (Ľ.J.); (D.H.); (B.V.)
- Institute of Pathophysiology, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia
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Shen H, Liu J, Chen K, Li X. Language model enables end-to-end accurate detection of cancer from cell-free DNA. Brief Bioinform 2024; 25:bbae053. [PMID: 38385880 PMCID: PMC10883418 DOI: 10.1093/bib/bbae053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/28/2023] [Accepted: 01/22/2024] [Indexed: 02/23/2024] Open
Abstract
We present a language model Affordable Cancer Interception and Diagnostics (ACID) that can achieve high classification performance in the diagnosis of cancer exclusively from using raw cfDNA sequencing reads. We formulate ACID as an autoregressive language model. ACID is pretrained with language sentences that are obtained from concatenation of raw sequencing reads and diagnostic labels. We benchmark ACID against three methods. On testing set subjected to whole-genome sequencing, ACID significantly outperforms the best benchmarked method in diagnosis of cancer [Area Under the Receiver Operating Curve (AUROC), 0.924 versus 0.853; P < 0.001] and detection of hepatocellular carcinoma (AUROC, 0.981 versus 0.917; P < 0.001). ACID can achieve high accuracy with just 10 000 reads per sample. Meanwhile, ACID achieves the best performance on testing sets that were subjected to bisulfite sequencing compared with benchmarked methods. In summary, we present an affordable, simple yet efficient end-to-end paradigm for cancer detection using raw cfDNA sequencing reads.
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Affiliation(s)
- Hongru Shen
- Tianjin Cancer Institute, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Jilei Liu
- Tianjin Cancer Institute, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xiangchun Li
- Tianjin Cancer Institute, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
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Ghoshal A, Verma A, Bhaskar A, Dwivedi VP. The uncharted territory of host-pathogen interaction in tuberculosis. Front Immunol 2024; 15:1339467. [PMID: 38312835 PMCID: PMC10834760 DOI: 10.3389/fimmu.2024.1339467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 01/03/2024] [Indexed: 02/06/2024] Open
Abstract
Mycobacterium tuberculosis (M.tb) effectively manipulates the host processes to establish the deadly respiratory disease, Tuberculosis (TB). M.tb has developed key mechanisms to disrupt the host cell health to combat immune responses and replicate efficaciously. M.tb antigens such as ESAT-6, 19kDa lipoprotein, Hip1, and Hsp70 destroy the integrity of cell organelles (Mitochondria, Endoplasmic Reticulum, Nucleus, Phagosomes) or delay innate/adaptive cell responses. This is followed by the induction of cellular stress responses in the host. Such cells can either undergo various cell death processes such as apoptosis or necrosis, or mount effective immune responses to clear the invading pathogen. Further, to combat the infection progression, the host secretes extracellular vesicles such as exosomes to initiate immune signaling. The exosomes can contain M.tb as well as host cell-derived peptides that can act as a double-edged sword in the immune signaling event. The host-symbiont microbiota produces various metabolites that are beneficial for maintaining healthy tissue microenvironment. In juxtaposition to the above-mentioned mechanisms, M.tb dysregulates the gut and respiratory microbiome to support its replication and dissemination process. The above-mentioned interconnected host cellular processes of Immunometabolism, Cellular stress, Host Microbiome, and Extracellular vesicles are less explored in the realm of exploration of novel Host-directed therapies for TB. Therefore, this review highlights the intertwined host cellular processes to control M.tb survival and showcases the important factors that can be targeted for designing efficacious therapy.
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Affiliation(s)
| | | | | | - Ved Prakash Dwivedi
- Immunobiology Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, India
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Wishart G, Templeman A, Hendry F, Miller K, Pailhes-Jimenez AS. Molecular Profiling of Circulating Tumour Cells and Circulating Tumour DNA: Complementary Insights from a Single Blood Sample Utilising the Parsortix ® System. Curr Issues Mol Biol 2024; 46:773-787. [PMID: 38248352 PMCID: PMC10814787 DOI: 10.3390/cimb46010050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 01/23/2024] Open
Abstract
The study of molecular drivers of cancer is an area of rapid growth and has led to the development of targeted treatments, significantly improving patient outcomes in many cancer types. The identification of actionable mutations informing targeted treatment strategies are now considered essential to the management of cancer. Traditionally, this information has been obtained through biomarker assessment of a tissue biopsy which is costly and can be associated with clinical complications and adverse events. In the last decade, blood-based liquid biopsy has emerged as a minimally invasive, fast, and cost-effective alternative, which is better suited to the requirement for longitudinal monitoring. Liquid biopsies allow for the concurrent study of multiple analytes, such as circulating tumour cells (CTCs) and circulating tumour DNA (ctDNA), from a single blood sample. Although ctDNA assays are commercially more advanced, there is an increasing awareness of the clinical significance of the transcriptome and proteome which can be analysed using CTCs. Herein, we review the literature in which the microfluidic, label-free Parsortix® system is utilised for CTC capture, harvest and analysis, alongside the analysis of ctDNA from a single blood sample. This detailed summary of the literature demonstrates how these two analytes can provide complementary disease information.
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Affiliation(s)
- Gabrielle Wishart
- ANGLE plc, Guildford GU2 7QB, UK; (A.T.); (F.H.); (K.M.); (A.-S.P.-J.)
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Moldovan N, van der Pol Y, van den Ende T, Boers D, Verkuijlen S, Creemers A, Ramaker J, Vu T, Bootsma S, Lenos KJ, Vermeulen L, Fransen MF, Pegtel M, Bahce I, van Laarhoven H, Mouliere F. Multi-modal cell-free DNA genomic and fragmentomic patterns enhance cancer survival and recurrence analysis. Cell Rep Med 2024; 5:101349. [PMID: 38128532 PMCID: PMC10829758 DOI: 10.1016/j.xcrm.2023.101349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 09/22/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023]
Abstract
The structure of cell-free DNA (cfDNA) is altered in the blood of patients with cancer. From whole-genome sequencing, we retrieve the cfDNA fragment-end composition using a new software (FrEIA [fragment end integrated analysis]), as well as the cfDNA size and tumor fraction in three independent cohorts (n = 925 cancer from >10 types and 321 control samples). At 95% specificity, we detect 72% cancer samples using at least one cfDNA measure, including 64% early-stage cancer (n = 220). cfDNA detection correlates with a shorter overall (p = 0.0086) and recurrence-free (p = 0.017) survival in patients with resectable esophageal adenocarcinoma. Integrating cfDNA measures with machine learning in an independent test set (n = 396 cancer, 90 controls) achieve a detection accuracy of 82% and area under the receiver operating characteristic curve of 0.96. In conclusion, harnessing the biological features of cfDNA can improve, at no extra cost, the diagnostic performance of liquid biopsies.
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Affiliation(s)
- Norbert Moldovan
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Centre Amsterdam, Amsterdam, the Netherlands; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
| | - Ymke van der Pol
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Centre Amsterdam, Amsterdam, the Netherlands; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
| | - Tom van den Ende
- Amsterdam UMC, University of Amsterdam, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Dries Boers
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Centre Amsterdam, Amsterdam, the Netherlands; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
| | - Sandra Verkuijlen
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Centre Amsterdam, Amsterdam, the Netherlands; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
| | - Aafke Creemers
- Amsterdam UMC, University of Amsterdam, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Jip Ramaker
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Trang Vu
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Centre Amsterdam, Amsterdam, the Netherlands; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
| | - Sanne Bootsma
- Amsterdam UMC, University of Amsterdam, Center for Experimental and Molecular Medicine, Laboratory for Experimental Oncology and Radiobiology, Amsterdam, the Netherlands; Cancer Center Amsterdam, Gastroenterology Endocrinology Metabolism, Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Kristiaan J Lenos
- Amsterdam UMC, University of Amsterdam, Center for Experimental and Molecular Medicine, Laboratory for Experimental Oncology and Radiobiology, Amsterdam, the Netherlands; Cancer Center Amsterdam, Gastroenterology Endocrinology Metabolism, Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Louis Vermeulen
- Amsterdam UMC, University of Amsterdam, Center for Experimental and Molecular Medicine, Laboratory for Experimental Oncology and Radiobiology, Amsterdam, the Netherlands; Cancer Center Amsterdam, Gastroenterology Endocrinology Metabolism, Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Marieke F Fransen
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pulmonology, Cancer Centre Amsterdam, Amsterdam, the Netherlands
| | - Michiel Pegtel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Centre Amsterdam, Amsterdam, the Netherlands; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
| | - Idris Bahce
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pulmonology, Cancer Centre Amsterdam, Amsterdam, the Netherlands
| | - Hanneke van Laarhoven
- Amsterdam UMC, University of Amsterdam, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Florent Mouliere
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Centre Amsterdam, Amsterdam, the Netherlands; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands.
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Sacdalan DB, Ul Haq S, Lok BH. Plasma Cell-Free Tumor Methylome as a Biomarker in Solid Tumors: Biology and Applications. Curr Oncol 2024; 31:482-500. [PMID: 38248118 PMCID: PMC10814449 DOI: 10.3390/curroncol31010033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 12/30/2023] [Accepted: 01/10/2024] [Indexed: 01/23/2024] Open
Abstract
DNA methylation is a fundamental mechanism of epigenetic control in cells and its dysregulation is strongly implicated in cancer development. Cancers possess an extensively hypomethylated genome with focal regions of hypermethylation at CPG islands. Due to the highly conserved nature of cancer-specific methylation, its detection in cell-free DNA in plasma using liquid biopsies constitutes an area of interest in biomarker research. The advent of next-generation sequencing and newer computational technologies have allowed for the development of diagnostic and prognostic biomarkers that utilize methylation profiling to diagnose disease and stratify risk. Methylome-based predictive biomarkers can determine the response to anti-cancer therapy. An additional emerging application of these biomarkers is in minimal residual disease monitoring. Several key challenges need to be addressed before cfDNA-based methylation biomarkers become fully integrated into practice. The first relates to the biology and stability of cfDNA. The second concerns the clinical validity and generalizability of methylation-based assays, many of which are cancer type-specific. The third involves their practicability, which is a stumbling block for translating technologies from bench to clinic. Future work on developing pan-cancer assays with their respective validities confirmed using well-designed, prospective clinical trials is crucial in pushing for the greater use of these tools in oncology.
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Affiliation(s)
- Danielle Benedict Sacdalan
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, 1 King’s College Circle, Medical Sciences Building, Room 2374, Toronto, ON M5S 1A8, Canada
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Ave, Toronto, ON M5G 2C4, Canada
| | - Sami Ul Haq
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Ave, Toronto, ON M5G 2C4, Canada
- Schulich School of Medicine & Dentistry, Western University, 1151 Richmond St, London, ON N6A 5C1, Canada
| | - Benjamin H. Lok
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, 1 King’s College Circle, Medical Sciences Building, Room 2374, Toronto, ON M5S 1A8, Canada
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Ave, Toronto, ON M5G 2C4, Canada
- Department of Medical Biophysics, Temerty Faculty of Medicine, University of Toronto, 101 College Street, Room 15-701, Toronto, ON M5G 1L7, Canada
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Lu Y, Zhang Y, Lou Z, He X, Zhang Q, Zhang Q, Zhao S, Chen H, Zhu H, Song Z, Zhang R, Ma C, Liu D. Metagenomic next-generation sequencing of cell-free DNA for the identification of viruses causing central nervous system infections. Microbiol Spectr 2024; 12:e0226423. [PMID: 38095471 PMCID: PMC10783088 DOI: 10.1128/spectrum.02264-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 11/22/2023] [Indexed: 01/13/2024] Open
Abstract
IMPORTANCE This study provides significant new data on the application of metagenomic next-generation sequencing (mNGS) to clinical diagnostics of central nervous system (CNS) viral infections, which can have high mortality rates and severe sequelae. Conventional diagnostic procedures for identifying viruses can be inefficient and rely on preconceived assumptions about the pathogen, making mNGS an appealing alternative. However, the effectiveness of mNGS is affected by the presence of human DNA contamination, which can be minimized by using cell-free DNA (cfDNA) instead of whole-cell DNA (wcDNA). This multi-center retrospective study of patients with suspected viral CNS infection found that mNGS using cfDNA had a significantly lower proportion of human DNA and higher sensitivity for detecting viruses than mNGS using wcDNA. Herpesviruses, particularly VZV, were found to be the most common DNA viruses in these patients. Overall, mNGS using cfDNA is a promising complementary diagnostic method for detecting CNS viral infections.
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Affiliation(s)
- Yuying Lu
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
- Key laboratory of Microbial Molecular Biology of Hunan Province, Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Ye Zhang
- Department of Scientific Affairs, Hugobiotech Co., Ltd., Beijing, China
| | - Zheng Lou
- Department of Scientific Affairs, Hugobiotech Co., Ltd., Beijing, China
| | - Xiaomin He
- Department of Scientific Affairs, Hugobiotech Co., Ltd., Beijing, China
| | - Qinghua Zhang
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Qingxia Zhang
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Shu Zhao
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Han Chen
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Haixia Zhu
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Zhi Song
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Ruxu Zhang
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Caiyu Ma
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Neurology, The Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Ding Liu
- Department of Neurology, The Third Xiangya Hospital of Central South University, Changsha, China
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Park S, Sellares J, Tinel C, Anglicheau D, Bestard O, Friedewald JJ. European Society of Organ Transplantation Consensus Statement on Testing for Non-Invasive Diagnosis of Kidney Allograft Rejection. Transpl Int 2024; 36:12115. [PMID: 38239762 PMCID: PMC10794444 DOI: 10.3389/ti.2023.12115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/07/2023] [Indexed: 01/22/2024]
Abstract
To address the need for improved biomarkers for kidney transplant rejection, European Society of Organ Transplantation (ESOT) convened a dedicated working group comprised of experts in kidney transplant biomarkers to review literature pertaining to clinical and subclinical acute rejection to develop guidelines in the screening and diagnosis of acute rejection that were subsequently discussed and voted on during the Consensus Conference that took place in person in Prague. The findings and recommendations of the Working Group on Molecular Biomarkers of Kidney Transplant Rejection are presented in this article.
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Affiliation(s)
- Sookhyeon Park
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | | | - Claire Tinel
- Dijon University Hospital, INSERM UMR 1098 Right, UBFC, Dijon, France
| | - Dany Anglicheau
- Necker Hospital, Assistance Publique-Hopitaux de Paris, INSERM U1151, Université Paris-Cité, Paris, France
| | | | - John J. Friedewald
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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Kluge K, Einspieler H, Haberl D, Spielvogel C, Stoiber S, Vraka C, Papp L, Wunsch S, Egger G, Kramer G, Grubmüller B, Shariat S, Hacker M, Kenner L, Haug A. Examining the Relationship and Prognostic Significance of Cell-Free DNA Levels and the PSMA-Positive Tumor Volume in Men with Prostate Cancer: A Retrospective-Prospective [ 68Ga]Ga-PSMA-11 PET/CT Study. J Nucl Med 2024; 65:63-70. [PMID: 38050125 PMCID: PMC10755525 DOI: 10.2967/jnumed.123.266158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/27/2023] [Indexed: 12/06/2023] Open
Abstract
Functional imaging with prostate-specific membrane antigen (PSMA) ligands has emerged as the standard imaging method for prostate cancer (PCA). In parallel, the analysis of blood-derived, cell-free DNA (cfDNA) has been shown to be a promising quantitative biomarker of PCA aggressiveness and patient outcome. This study aimed to evaluate the relationship and prognostic value of cfDNA concentrations and the PSMA-positive tumor volume (PSMA-TV) in men with PCA undergoing [68Ga]Ga-PSMA-11 PET/CT imaging. Methods: We recruited 148 men with histologically proven PCA (mean age, 70.7 ± 7.7 y) who underwent [68Ga]Ga-PSMA-11 PET/CT (184.9 ± 18.9 MBq) and blood sampling between March 2019 and August 2021. Among these, 74 (50.0%) had hormone-sensitive PCA and 74 (50.0%) had castration-resistant PCA (CRPC). All patients provided written informed consent before blood sample collection and imaging. The cfDNA was extracted and quantified, and PSMA-expressing tumor lesions were delineated to extract the PSMA-TVs. The Spearman coefficient assessed correlations between PSMA-TV and cfDNA concentrations and cfDNA's relation with clinical parameters. The Kruskal-Wallis test examined the mean cfDNA concentration differences based on PSMA-TV quartiles for significantly correlated patient groups. Log-rank and multivariate Cox regression analyses evaluated the prognostic significance of high and low cfDNA and PSMA-TV levels for overall survival. Results: Weak positive correlations were found between cfDNA concentration and PSMA-TV in the overall group (r = 0.16, P = 0.049) and the CRPC group (r = 0.31, P = 0.007) but not in hormone-sensitive PCA patients (r = -0.024, P = 0.837). In the CRPC cohort, cfDNA concentrations significantly differed between PSMA-TV quartiles 4 and 1 (P = 0.002) and between quartiles 4 and 2 (P = 0.016). Survival outcomes were associated with PSMA-TV (P < 0.0001, P = 0.004) but not cfDNA (P = 0.174, P = 0.12), as per the log-rank and Cox regression analysis. Conclusion: These findings suggest that cfDNA might serve as a biomarker of advanced, aggressive CRPC but does not reliably reflect total tumor burden or prognosis. In comparison, [68Ga]Ga-PSMA-11 PET/CT provides a highly granular and prognostic assessment of tumor burden across the spectrum of PCA disease progression.
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Affiliation(s)
- Kilian Kluge
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
- Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria
| | - Holger Einspieler
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - David Haberl
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Clemens Spielvogel
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
- Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria
| | - Stefan Stoiber
- Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Chrysoula Vraka
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Laszlo Papp
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Sabine Wunsch
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Gerda Egger
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Gero Kramer
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - Bernhard Grubmüller
- Department of Urology, Medical University of Vienna, Vienna, Austria
- Department of Urology and Andrology, University Hospital Krems, Krems, Austria
- Karl Landsteiner University of Health Sciences, Krems, Austria
| | - Shahrokh Shariat
- Department of Urology, Medical University of Vienna, Vienna, Austria
- Department of Urology and Andrology, University Hospital Krems, Krems, Austria
- Karl Landsteiner Institute of Urology and Andrology, Vienna, Austria
- Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas
- Division of Urology, Department of Special Surgery, University of Jordan, Amman, Jordan
- Department of Urology, Second Faculty of Medicine, Charles University, Prague, Czech Republic; and
- Department of Urology, Weill Cornell Medical College, New York, New York
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Kenner
- Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Alexander Haug
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria;
- Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria
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