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Wang H, Wang Z, Zhu S, Li Z, Yang H, Sun P, Zhu M, Zhao X, Shen L, Ou Q, Yang H, Li ZM. Circulating tumor DNA assisting lymphoma genetic feature profiling and identification. Ann Hematol 2024:10.1007/s00277-024-05782-0. [PMID: 39012515 DOI: 10.1007/s00277-024-05782-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 04/24/2024] [Indexed: 07/17/2024]
Abstract
INTRODUCTION Lymphoma tissue biopsies cannot fully capture genetic features due to accessibility and heterogeneity. We aimed to assess the applicability of circulating tumor DNA (ctDNA) for genomic profiling and disease surveillance in classic Hodgkin lymphoma (cHL), primary mediastinal large B-cell lymphoma (PMBCL), and diffuse large B-cell lymphoma (DLBCL). METHODS Tumor tissue and/or liquid biopsies of 49 cHLs, 32 PMBCLs, and 74 DLBCLs were subject to next-generation sequencing targeting 475 genes. The concordance of genetic aberrations in ctDNA and paired tissues was investigated, followed by elevating ctDNA-based mutational landscapes and the correlation between ctDNA dynamics and radiological response/progression. RESULTS ctDNA exhibited high concordance with tissue samples in cHL (78%), PMBCL (84%), and DLBCL (78%). In cHL, more unique mutations were detected in ctDNA than in tissue biopsies (P < 0.01), with higher variant allele frequencies (P < 0.01). Distinct genomic features in cHL, PMBCL, and DLBCL, including STAT6, SOCS1, BTG2, and PIM1 alterations, could be captured by ctDNA alone. Prevalent PD-L1/PD-L2 amplifications were associated with more concomitant alterations in PMBCL (P < 0.01). Moreover, ctDNA fluctuation could reflect treatment responses and indicate relapse before imaging diagnosis. CONCLUSIONS Lymphoma genomic profiling by ctDNA was concordant with that by tumor tissues. ctDNA might also be applied in lymphoma surveillance.
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Affiliation(s)
- Hongbiao Wang
- Medical Oncology Session No.1, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Zhao Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Sujuan Zhu
- Medical Oncology Session No.1, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Zhifeng Li
- Medical Oncology Session No.1, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Hang Yang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Peng Sun
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Minyi Zhu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Xiaotian Zhao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Lu Shen
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Qiuxiang Ou
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Hui Yang
- Department of Hematology, Shunde Hospital, Southern Medical University (the First People's Hospital of Shunde Foshan), No.1 Jiazi Road, Licun, Lunjiao Street, Shunde District, Foshan, 528300, China.
| | - Zhi-Ming Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.
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Xia Y, Wang L, Liang J, Shen H, Wu J, Yin H, Li Y, Zhu H, Li J, Xu W. Genotyping on circulating tumor DNA improves mutation detection rate in high-risk diffuse large B-cell lymphoma. Genes Dis 2024; 11:101116. [PMID: 38515934 PMCID: PMC10955196 DOI: 10.1016/j.gendis.2023.101116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 08/11/2023] [Accepted: 08/15/2023] [Indexed: 03/23/2024] Open
Affiliation(s)
- Yi Xia
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, Jiangsu 210029, China
| | - Li Wang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, Jiangsu 210029, China
| | - Jinhua Liang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, Jiangsu 210029, China
| | - Haorui Shen
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, Jiangsu 210029, China
| | - Jiazhu Wu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, Jiangsu 210029, China
| | - Hua Yin
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, Jiangsu 210029, China
| | - Yue Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, Jiangsu 210029, China
| | - Huayuan Zhu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, Jiangsu 210029, China
| | - Jianyong Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, Jiangsu 210029, China
| | - Wei Xu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, Jiangsu 210029, China
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Yoon SE, Shin SH, Nam DK, Cho J, Kim WS, Kim SJ. Feasibility of Circulating Tumor DNA Analysis in Patients with Follicular Lymphoma. Cancer Res Treat 2024; 56:920-935. [PMID: 38228081 PMCID: PMC11261198 DOI: 10.4143/crt.2023.869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 01/15/2024] [Indexed: 01/18/2024] Open
Abstract
PURPOSE The feasibility of sequencing circulating tumor DNA (ctDNA) in plasma as a biomarker to predict early relapse or poor prognosis in patients with follicular lymphoma (FL) receiving systemic immunochemotherapy is not clear. MATERIALS AND METHODS We sequenced DNA from cell-free plasma that was serially obtained from newly diagnosed FL patients undergoing systemic immunochemotherapy. The mutation profiles of ctDNA at the time of diagnosis and at response evaluation and relapse and/or progression were compared with clinical course and treatment outcomes. RESULTS Forty samples from patients receiving rituximab-containing immunochemotherapy were analyzed. Baseline sequencing detected mutations in all cases, with the major detected mutations being KMT2C (50%), CREBBP (45%), and KMT2D (45%). The concentration of ctDNA and tumor mutation burden showed a significant association with survival outcome. In particular, the presence of mutations in CREBBP and TP53 showed poor prognosis compared with patients without them. Longitudinal analysis of ctDNA using serially collected plasma samples showed an association between persistence or reappearance of ctDNA mutations and disease relapse or progression. CONCLUSION Analysis of ctDNA mutations in plasma at diagnosis might help predict outcome of disease, while analysis during follow-up may help to monitor disease status of patients with advanced FL. However, the feasibility of ctDNA measurement must be improved in order for it to become an appropriate and clinically relevant test in FL patients.
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Affiliation(s)
- Sang Eun Yoon
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | | | | | - Junhun Cho
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Seog Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seok Jin Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University School of Medicine, Seoul, Korea
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Liang JH, Wu YF, Shen HR, Li Y, Liang JH, Gao R, Hua W, Shang CY, Du KX, Xing TY, Zhang XY, Wang CX, Zhu LQ, Shao YW, Li JY, Wu JZ, Yin H, Wang L, Xu W. Clinical implications of CSF-ctDNA positivity in newly diagnosed diffuse large B cell lymphoma. Leukemia 2024; 38:1541-1552. [PMID: 38750139 DOI: 10.1038/s41375-024-02279-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 05/01/2024] [Accepted: 05/03/2024] [Indexed: 07/03/2024]
Abstract
The clinical implications of CSF-ctDNA positivity in newly diagnosed diffuse large B cell lymphoma (ND-DLBCL) remains largely unexplored. One hundred ND-DLBCL patients were consecutively enrolled as training cohort and another 26 ND-DLBCL patients were prospectively enrolled in validation cohort. CSF-ctDNA positivity (CSF(+)) was identified in 25 patients (25.0%) in the training cohort and 7 patients (26.9%) in the validation cohort, extremely higher than CNS involvement rate detected by conventional methods. Patients with mutations of CARD11, JAK2, ID3, and PLCG2 were more predominant with CSF(+) while FAT4 mutations were negatively correlated with CSF(+). The downregulation of PI3K-AKT signaling, focal adhesion, actin cytoskeleton, and tight junction pathways were enriched in CSF(+) ND-DLBCL. Furthermore, pretreatment CSF(+) was significantly associated with poor outcomes. Three risk factors, including high CSF protein level, high plasma ctDNA burden, and involvement of high-risk sites were used to predict the risk of CSF(+) in ND-DLBCL. The sensitivity and specificity of pretreatment CSF-ctDNA to predict CNS relapse were 100% and 77.3%. Taken together, we firstly present the prevalence and the genomic and transcriptomic landscape for CSF-ctDNA(+) DLBCL and highlight the importance of CSF-ctDNA as a noninvasive biomarker in detecting and monitoring of CSF infiltration and predicting CNS relapse in DLBCL.
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Affiliation(s)
- Jin-Hua Liang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Yi-Fan Wu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Hao-Rui Shen
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Yue Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Jun-Heng Liang
- Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Rui Gao
- Department of Endocrinology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, OX3 7LE, UK
| | - Wei Hua
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Chun-Yu Shang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Kai-Xin Du
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Tong-Yao Xing
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Xin-Yu Zhang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Chen-Xuan Wang
- Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Liu-Qing Zhu
- Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Yang W Shao
- Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Jian-Yong Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Jia-Zhu Wu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Hua Yin
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Li Wang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Wei Xu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
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Cherng HJJ, Herrera A. Circulating Tumor DNA in Diffuse Large B-Cell Lymphoma: from Bench to Bedside? Curr Treat Options Oncol 2024; 25:659-678. [PMID: 38656685 DOI: 10.1007/s11864-024-01201-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2024] [Indexed: 04/26/2024]
Abstract
OPINION STATEMENT Diffuse large B-cell lymphoma (DLBCL) is a curable disease with variable outcomes due to underlying heterogeneous clinical and molecular features-features that are insufficiently characterized with our current tools. Due to these limitations, treatment largely remains a "one-size-fits-all" approach. Circulating tumor DNA (ctDNA) is a novel biomarker in cancers that is increasingly utilized for risk stratification and response assessment. ctDNA is readily detectable from the plasma of patients with DLBCL but has not yet been incorporated into clinical care to guide treatment. Here, we describe how ctDNA sequencing represents a promising technology in development to personalize the care of patients with DLBCL. We will review the different types of ctDNA assays being studied and the rapidly growing body of evidence supporting the utility of ctDNA in different treatment settings in DLBCL. Risk stratification by estimation of tumor burden and liquid genotyping, molecular response assessment during treatment, and monitoring for measurable residual disease (MRD) to identify therapy resistance and predict clinical relapse are all potential applications of ctDNA. It is time for clinical trials in DLBCL to utilize ctDNA as an integral biomarker for patient selection, response-adapted designs, and surrogate endpoints. As more ctDNA assays become commercially available for routine use, clinicians should consider liquid biopsy when treatment response is equivocal on imaging. Incorporating MRD may also guide decision-making if patients experience severe treatment toxicities. Though important barriers remain, we believe that ctDNA will soon be ready to transition from bench to bedside to individualize treatment for our patients with DLBCL.
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MESH Headings
- Lymphoma, Large B-Cell, Diffuse/therapy
- Lymphoma, Large B-Cell, Diffuse/diagnosis
- Lymphoma, Large B-Cell, Diffuse/blood
- Lymphoma, Large B-Cell, Diffuse/genetics
- Humans
- Circulating Tumor DNA/blood
- Biomarkers, Tumor/blood
- Liquid Biopsy/methods
- Disease Management
- Translational Research, Biomedical
- Precision Medicine/methods
- Prognosis
- Clinical Decision-Making
- Disease Susceptibility
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Affiliation(s)
- Hua-Jay J Cherng
- Lymphoma Service, Division of Hematology & Oncology, Columbia University Irving Medical Center, 177 Fort Washington Avenue, 6GN-Rm 435, New York, NY, 10032, USA.
| | - Alex Herrera
- Division of Lymphoma, Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA, USA
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He Q, Shi X, Yan J, Wu M, Gu C, Yu X. Circulating tumor DNA serial monitoring of relapse and responses to tislelizumab immunotherapy as second‑line monotherapy for metastatic esophageal squamous cell carcinoma: A prospective study. Mol Clin Oncol 2024; 20:29. [PMID: 38414510 PMCID: PMC10895470 DOI: 10.3892/mco.2024.2727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 01/08/2024] [Indexed: 02/29/2024] Open
Abstract
Anti-programmed cell death 1 immuno-monotherapy has become the second-line standard treatment for advanced esophageal squamous cell carcinoma (ESCC) after the failure of first-line chemotherapy. However, new biomarkers are still needed to identify patients at risk of tumor progression and to select patients with advanced ESCC who are likely to benefit from immunotherapy. A total of 12 patients with advanced ESCC treated with tislelizumab were prospectively enrolled and endoscopic biopsy samples were collected. Plasma was obtained prior to and after every 2-3 treatment cycles with tislelizumab and when disease progression occurred. Targeted sequencing of 425 genes from plasma cell-free DNA, DNA from leukocytes and fixed esophageal tumor biopsies was performed. The patients underwent imaging analyses every 6-8 weeks until disease progression. The association between status of circulating tumor DNA (ctDNA) or changes in ctDNA following tislelizumab immunotherapy and response, tumor progression and survival was determined. All patients had evaluable next-generation sequencing results at the time of analysis. The results showed that patients with ESCC with liver metastasis had a significantly shorter median progression-free survival (mPFS: 1.4 vs. 11.7 months; P=0.037). TSC complex subunit 2 [11.7 months vs. not reached (NR); P=0.004] and zinc finger protein 217 (11.7 months vs. NR; P=0.022) gene mutations were the independent and negative prognostic factors for median overall survival (OS), respectively. Of note, ctDNA dynamic changes expressed as ∆ mutant molecules per milliliter of plasma (∆MMPM; MMPM detected at the first monitoring time-point after the first infusion of tislelizumab as baseline MMPM) predicted progression-free survival (PFS) and OS more accurately compared to the ctDNA change of an individual gene. ∆MMPM <20% was an independent predictor of PFS (2.8 vs. 14.6 months; P=0.029), although there was no significant difference for OS (16.7 vs. 17.6 months; P=0.830). In conclusion, changes in ctDNA levels were associated with anti-tumor effects, progression and disease-specific survival. ctDNA sequencing is promising for predicting response and progression after tislelizumab immunotherapy as second-line monotherapy for advanced ESCC [the present study was part of the RATIONALE-302 study (ClinicalTrials.gov identifier no. NCT03430843; 29.01.2018)].
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Affiliation(s)
- Qiong He
- Department of Oncology, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, P.R. China
| | - Xun Shi
- Department of Oncology, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, P.R. China
| | - Junrong Yan
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu 210032, P.R. China
| | - Mengmeng Wu
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu 210032, P.R. China
| | - Cuiping Gu
- Department of Oncology, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, P.R. China
| | - Xinmin Yu
- Department of Oncology, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, P.R. China
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Hassan SU, Hussain S, Fakhar M, Ahmad A, Durrani F. Frequency of Complete Remission With R-CHOP Therapy in Patients With Diffuse Large B Cell Lymphoma. Cureus 2024; 16:e57368. [PMID: 38694660 PMCID: PMC11061660 DOI: 10.7759/cureus.57368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2024] [Indexed: 05/04/2024] Open
Abstract
Background Diffuse large B-cell lymphoma (DLBCL) exhibits notable heterogeneity in clinical presentations and treatment responses, posing challenges in predicting outcomes and tailoring therapeutic strategies for affected patients. Despite advancements in molecular subtyping and prognostic assessment, uncertainties persist regarding the optimal management of DLBCL, highlighting the need for localized investigations to better understand treatment responses and outcomes within specific patient populations. Objective To assess the frequency of complete remission (CR) in diffuse large B-cell lymphoma (DLBCL) patients undergoing first-line rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisolone (R-CHOP) therapy within a specific adult population. Material and methods This descriptive study was conducted within the Department of Oncology Hayatabad Medical Complex, Peshawar, Pakistan from August 8, 2022, to April 8, 2023. The study included newly diagnosed DLBCL patients aged 20-70 years, excluding those who had received prior treatment. There were 55 (57.9%) males and 40 (42.1%) females. Data on demographic characteristics, disease duration, and CR outcomes were collected using a predefined data collection form. Results The majority of patients (80, 84.2%) achieved CR following R-CHOP therapy. In terms of age distribution, 43 (45.3%) patients were aged ≤45 years, while the remaining belonged to the >45 years age group. The duration of the disease was ≤ 3 months in 60 (63.2%) cases, whereas it exceeded three months in 35 (36.8%) cases. With regards to BMI classification, nine (9.5%) patients had a BMI < 18.5 kg/m2, 49 (51.6%) fell within the range of 18.5-24.9 kg/m2, and the remaining 37 (38.9%) patients had a BMI between 25-30 kg/m2. Conclusion Diffuse large B-cell lymphoma (DLBCL) remains a heterogeneous disease entity with variable clinical outcomes. While R-CHOP therapy demonstrates promising efficacy in achieving CR, concerns regarding late adverse effects persist. Addressing these challenges requires continued research efforts to validate novel prognostic markers and develop alternative treatment approaches, ultimately improving patient outcomes and reducing the global burden of DLBCL.
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Affiliation(s)
- Sani U Hassan
- Department of Medical Oncology, Hayatabad Medical Complex Peshawar, Peshawar, PAK
| | - Shah Hussain
- Department of Medical Oncology, Hayatabad Medical Complex Peshawar, Peshawar, PAK
| | - Mahnoor Fakhar
- Department of Cardiology, Peshawar Institute of Cardiology, Peshawar, PAK
| | - Azaz Ahmad
- Department of Medical Oncology, Fauji Foundation Hospital, Rawalpindi, PAK
| | - Fakeeda Durrani
- Department of Medical Oncology, Hayatabad Medical Complex Peshawar, Peshawar, PAK
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Cuzzo B, Lipsky A, Cherng HJJ. Measurable Residual Disease Monitoring in Lymphoma. Curr Hematol Malig Rep 2023; 18:292-304. [PMID: 37930608 DOI: 10.1007/s11899-023-00715-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2023] [Indexed: 11/07/2023]
Abstract
PURPOSE OF REVIEW The utility of analyzing circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and disease in the bone marrow as an adjunctive tool in caring for hematologic cancer patients is expanding. This holds true for lymphoma where these biomarkers are being explored as a means of genotyping and quantifying disease. Regarding the latter, they can be used to monitor measurable residual disease (MRD) during and after treatment. This holds potential for aiding clinical decisions amidst treatment, detecting earlier relapse, and improving prognostication. Here, we review the evidence to support these applications in a variety of lymphoma subtypes. RECENT FINDINGS Numerous clinical trials across a variety of lymphomas have demonstrated value in MRD monitoring. MRD monitoring is often prognostic for progression free survival (PFS) and even overall survival (OS) at several time points in a disease course, particularly when utilizing serial measurements. With regards to tailoring treatment, there are a growing number of trials examining MRD-adaptive treatment strategies to intensify or de-escalate treatment to individualize care. Lastly, MRD monitoring has been utilized successfully in detecting earlier relapse when compared to more standard methods of clinical surveillance such as radiographic assessment. Although not routinely implemented into clinical practice, MRD monitoring in lymphoma is helping shape the future landscape of this disease by aiding in prognostication, guiding therapy, and detecting earlier relapse. Steps to standardize and further examine this technology prospectively are being taken to bring MRD monitoring to the forefront of the field.
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Affiliation(s)
- Brian Cuzzo
- Columbia University Medical Center, 161 Fort Washington Ave, New York, NY, 10032, USA
| | - Andrew Lipsky
- Columbia University Medical Center, 161 Fort Washington Ave, New York, NY, 10032, USA
| | - Hua-Jay J Cherng
- Columbia University Medical Center, 161 Fort Washington Ave, New York, NY, 10032, USA.
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9
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Tomacinschii V, Mosquera Orgueira A, Santos CA, Robu M, Buruiana S, Fraga Rodriguez MF. The implication of next-generation sequencing in the diagnosis and clinical management of non-Hodgkin lymphomas. Front Oncol 2023; 13:1275327. [PMID: 38023160 PMCID: PMC10663367 DOI: 10.3389/fonc.2023.1275327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Next generation sequencing (NGS) is a technology that broadens the horizon of knowledge of several somatic pathologies, especially in oncological and oncohematological pathology. In the case of NHL, the understanding of the mechanisms of tumorigenesis, tumor proliferation and the identification of genetic markers specific to different lymphoma subtypes led to more accurate classification and diagnosis. Similarly, the data obtained through NGS allowed the identification of recurrent somatic mutations that can serve as therapeutic targets that can be inhibited and thus reducing the rate of resistant cases. The article's purpose is to offer a comprehensive overview of the best ways of integrating of next-generation sequencing technologies for diagnosis, prognosis, classification, and selection of optimal therapy from the perspective of tailor-made medicine.
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Affiliation(s)
- Victor Tomacinschii
- Department of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova
- Department of Hematology, Public Medical Sanitary Institution (PMSI) Institute of Oncology, Chisinau, Moldova
| | - Adrian Mosquera Orgueira
- University Hospital of Santiago de Compostela, Servizo Galego de Saude (SERGAS), Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
| | - Carlos Aliste Santos
- University Hospital of Santiago de Compostela, Servizo Galego de Saude (SERGAS), Santiago de Compostela, Spain
| | - Maria Robu
- Department of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova
| | - Sanda Buruiana
- Department of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova
| | - Maximo Francisco Fraga Rodriguez
- University Hospital of Santiago de Compostela, Servizo Galego de Saude (SERGAS), Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
- Department of Forensic Sciences, Pathology, Ginecology and Obstetrics and Pediatrics, Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
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10
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Decruyenaere P, Giuili E, Verniers K, Anckaert J, De Grove K, Van der Linden M, Deeren D, Van Dorpe J, Offner F, Vandesompele J. Exploring the cell-free total RNA transcriptome in diffuse large B-cell lymphoma and primary mediastinal B-cell lymphoma patients as biomarker source in blood plasma liquid biopsies. Front Oncol 2023; 13:1221471. [PMID: 37954086 PMCID: PMC10634215 DOI: 10.3389/fonc.2023.1221471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 09/18/2023] [Indexed: 11/14/2023] Open
Abstract
Introduction Diffuse large B-cell lymphoma (DLBCL) and primary mediastinal B-cell lymphoma (PMBCL) are aggressive histological subtypes of non-Hodgkin's lymphoma. Improved understanding of the underlying molecular pathogenesis has led to new classification and risk stratification tools, including the development of cell-free biomarkers through liquid biopsies. The goal of this study was to investigate cell-free RNA (cfRNA) biomarkers in DLBCL and PMBCL patients. Materials and methods Blood plasma samples (n=168) and matched diagnostic formalin-fixed paraffin-embedded (FFPE) tissue samples (n=69) of DLBCL patients, PMBCL patients and healthy controls were collected between 2016-2021. Plasma samples were collected at diagnosis, at interim evaluation, after treatment, and in case of refractory or relapsed disease. RNA was extracted from 200 µl plasma using the miRNeasy serum/plasma kit and from FFPE tissue using the miRNeasy FFPE kit. RNA was subsequently sequenced on a NovaSeq 6000 instrument using the SMARTer Stranded Total RNA-seq pico v3 library preparation kit. Results Higher cfRNA concentrations were demonstrated in lymphoma patients compared to healthy controls. A large number of differentially abundant genes were identified between the cell-free transcriptomes of DLBCL patients, PMBCL patients, and healthy controls. Overlap analyses with matched FFPE samples showed that blood plasma has a unique transcriptomic profile that significantly differs from that of the tumor tissue. As a good concordance between tissue-derived gene expression and the immunohistochemistry Hans algorithm for cell-of-origin (COO) classification was demonstrated in the FFPE samples, but not in the plasma samples, a 64-gene cfRNA classifier was developed that can accurately determine COO in plasma. High plasma levels of a 9-gene signature (BECN1, PRKCB, COPA, TSC22D3, MAP2K3, UQCRHL, PTMAP4, EHD1, NAP1L1 pseudogene) and a 5-gene signature (FTH1P7, PTMAP4, ATF4, FTH1P8, ARMC7) were significantly associated with inferior progression-free and overall survival in DLBCL patients, respectively, independent of the NCCN-IPI score. Conclusion Total RNA sequencing of blood plasma samples allows the analysis of the cell-free transcriptome in DLBCL and PMBCL patients and demonstrates its unexplored potential in identifying diagnostic, cell-of-origin, and prognostic cfRNA biomarkers.
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Affiliation(s)
- Philippe Decruyenaere
- Department of Hematology, Ghent University Hospital, Ghent, Belgium
- OncoRNALab, Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Edoardo Giuili
- Interuniversity Institute of Bioinformatics in Brussels (IB), Free University of Brussels, Brussels, Belgium
- Department of Biotechnology and Pharmacy, University of Bologna, Bologna, Italy
| | - Kimberly Verniers
- OncoRNALab, Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Jasper Anckaert
- OncoRNALab, Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Katrien De Grove
- Department of Hematology, Ghent University Hospital, Ghent, Belgium
| | | | - Dries Deeren
- Department of Hematology, Algemeen Ziekenhuis (AZ) Delta Roeselare-Menen, Roeselare, Belgium
| | - Jo Van Dorpe
- Department of Pathology, Ghent University Hospital, Ghent, Belgium
| | - Fritz Offner
- Department of Hematology, Ghent University Hospital, Ghent, Belgium
| | - Jo Vandesompele
- OncoRNALab, Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
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11
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Roschewski M, Patel MR, Reagan PM, Saba NS, Collins GP, Arkenau HT, de Vos S, Nuttall B, Acar M, Burke K, White RD, Udriste M, Sharma S, Dougherty B, Stetson D, Jenkins D, Mortlock A, Forcina A, Munugalavadla V, Flinn I. Phase I Study of Acalabrutinib Plus Danvatirsen (AZD9150) in Relapsed/Refractory Diffuse Large B-Cell Lymphoma Including Circulating Tumor DNA Biomarker Assessment. Clin Cancer Res 2023; 29:3301-3312. [PMID: 37364001 PMCID: PMC10472096 DOI: 10.1158/1078-0432.ccr-22-2483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 01/16/2023] [Accepted: 06/21/2023] [Indexed: 06/28/2023]
Abstract
PURPOSE Novel targeted and immunotherapies have improved outcomes in relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL), but toxicities limit widespread use. The selective Bruton tyrosine kinase (BTK) inhibitor acalabrutinib has activity in patients with R/R DLBCL but durable responses are uncommon. STAT3 inhibition has demonstrated clinical activity in DLBCL. PATIENTS AND METHODS Final results of the phase I study of acalabrutinib plus STAT3 inhibitor (danvatirsen; AZD9150) in patients with R/R DLBCL are reported. Danvatirsen 200 mg intravenous infusion [Days 1, 3, 5 (Cycle 1); weekly infusions starting Day 8, Cycle 1] was administered in combination with oral acalabrutinib 100 mg twice daily until progressive disease (PD) or unacceptable toxicity. Primary endpoints were safety and tolerability. Secondary endpoints included efficacy, pharmacokinetics, and immunogenicity. RESULTS Seventeen patients received combination treatment. One dose-limiting toxicity (Grade 3 liver transaminase) occurred in 1 patient. The most common reason for treatment discontinuation was PD (65%). In evaluable patients (n = 17), objective response rate was 24%; median duration of response was 1.9 months. All responders with available DLBCL cell-of-origin data were either activated B-cell or nongerminal center B-cell like subtype. Genetic subtype did not correlate with response. Baseline and longitudinal plasma cell-free DNA (cfDNA) concentrations were mostly higher in nonresponding patients. cfDNA changes were generally concordant with imaging. Pretreatment circulating B-cell levels were higher in responders versus nonresponders. CONCLUSIONS Targeting both STAT3 and BTK in combination is safe and tolerable but efficacy is limited in R/R DLBCL. Results support evaluation of circulating tumor DNA as a biomarker for clinical response.
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Affiliation(s)
- Mark Roschewski
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Manish R. Patel
- Florida Cancer Specialists/Sarah Cannon Research Institute, Sarasota, Florida
| | - Patrick M. Reagan
- Division of Hematology/Oncology, Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, New York
| | - Nakhle S. Saba
- Section of Hematology and Medical Oncology, Deming Department of Medicine, Tulane University, New Orleans, Louisiana
| | - Graham P. Collins
- NIHR Oxford Biomedical Research Centre, Oxford Cancer and Haematology Centre, Churchill Hospital, Oxford, United Kingdom
| | | | - Sven de Vos
- David Geffen School of Medicine at UCLA, Los Angeles, California
| | | | - Melih Acar
- AstraZeneca, South San Francisco, California
| | | | | | | | | | | | | | | | | | | | | | - Ian Flinn
- Sarah Cannon Research Institute, Nashville, Tennessee
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12
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Esapa B, Jiang J, Cheung A, Chenoweth A, Thurston DE, Karagiannis SN. Target Antigen Attributes and Their Contributions to Clinically Approved Antibody-Drug Conjugates (ADCs) in Haematopoietic and Solid Cancers. Cancers (Basel) 2023; 15:1845. [PMID: 36980732 PMCID: PMC10046624 DOI: 10.3390/cancers15061845] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/10/2023] [Accepted: 03/10/2023] [Indexed: 03/30/2023] Open
Abstract
Antibody drug conjugates (ADCs) are powerful anti-cancer therapies comprising an antibody joined to a cytotoxic payload through a chemical linker. ADCs exploit the specificity of antibodies for their target antigens, combined with the potency of cytotoxic drugs, to selectively kill target antigen-expressing tumour cells. The recent rapid advancement of the ADC field has so far yielded twelve and eight ADCs approved by the US and EU regulatory bodies, respectively. These serve as effective targeted treatments for several haematological and solid tumour types. In the development of an ADC, the judicious choice of an antibody target antigen with high expression on malignant cells but restricted expression on normal tissues and immune cells is considered crucial to achieve selectivity and potency while minimising on-target off-tumour toxicities. Aside from this paradigm, the selection of an antigen for an ADC requires consideration of several factors relating to the expression pattern and biological features of the target antigen. In this review, we discuss the attributes of antigens selected as targets for antibodies used in clinically approved ADCs for the treatment of haematological and solid malignancies. We discuss target expression, functions, and cellular kinetics, and we consider how these factors might contribute to ADC efficacy.
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Affiliation(s)
- Benjamina Esapa
- St. John’s Institute of Dermatology, School of Basic & Medical Biosciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
| | - Jiexuan Jiang
- St. John’s Institute of Dermatology, School of Basic & Medical Biosciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
| | - Anthony Cheung
- St. John’s Institute of Dermatology, School of Basic & Medical Biosciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Cancer Centre, London SE1 9RT, UK
| | - Alicia Chenoweth
- St. John’s Institute of Dermatology, School of Basic & Medical Biosciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Cancer Centre, London SE1 9RT, UK
| | - David E. Thurston
- Institute of Pharmaceutical Science, School of Cancer and Pharmaceutical Sciences, King’s College London, London SE1 9NH, UK
| | - Sophia N. Karagiannis
- St. John’s Institute of Dermatology, School of Basic & Medical Biosciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Cancer Centre, London SE1 9RT, UK
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13
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Kim JJ, Kim HY, Choi Z, Hwang SY, Jeong H, Choi JR, Yoon SE, Kim WS, Kim SH, Kim HJ, Shin SY, Lee ST, Kim SJ. In-depth circulating tumor DNA sequencing for prognostication and monitoring in natural killer/T-cell lymphomas. Front Oncol 2023; 13:1109715. [PMID: 36845680 PMCID: PMC9954142 DOI: 10.3389/fonc.2023.1109715] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/24/2023] [Indexed: 02/12/2023] Open
Abstract
Background Epstein-Barr virus (EBV) quantitation and current imaging modalities are used for diagnosis and disease monitoring in Extranodal NK/T cell lymphoma (ENKTL) but have limitations. Thus, we explored the utility of circulating tumor DNA (ctDNA) as a diagnostic biomarker. Methods Through in-depth sequencing of 118 blood samples collected longitudinally at different time points from 45 patients, we examined the mutational profile of each sample, estimated its impact on the clinical outcome, and assessed its role as a biomarker in comparison with EBV DNA quantitation. Results The ctDNA concentration was correlated with treatment response, stage, and EBV DNA quantitation. The detection rate of ctDNA mutation was 54.5%, with BCOR (21%) being the most commonly mutated gene in newly diagnosed patients; TP53 mutation (33%) was the most prevalent in patients that experienced a relapse. Additionally, patients in complete remission exhibited a rapid clearance of ENKTL-related somatic mutations, while relapsed patients frequently presented with persisting or emerging mutations. We detected ctDNA mutations in EBV-negative patients (50%) and mutation clearance in EBV-positive patients in remission, suggesting ctDNA genotyping as an efficient complementary monitoring method for ENKTL. Additionally, mutated DDX3X (PFS HR, 8.26) in initial samples predicted poor outcome. Conclusion Our results suggest that ctDNA analysis can be used to genotype at diagnosis and estimate the tumor burden in patients with ENKTL. Furthermore, ctDNA dynamics indicate the potential use of testing it to monitor therapeutic responses and develop new biomarkers for precision ENKTL therapy.
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Affiliation(s)
- Jin Ju Kim
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyun-Young Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Zisun Choi
- Dxome Co. Ltd, 8, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - So yoon Hwang
- Dxome Co. Ltd, 8, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Hansol Jeong
- Dxome Co. Ltd, 8, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea,Dxome Co. Ltd, 8, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Sang Eun Yoon
- Division of Haematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Won Seog Kim
- Division of Haematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea,Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Sun-Hee Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hee-Jin Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang-Yong Shin
- Department of Laboratory Medicine, Korea Worker’s Compensation & Welfare Service, Taebaek Hospital, Taebaek-si, Gangwon-do, Republic of Korea,*Correspondence: Sang-Yong Shin, ; Seung-Tae Lee, ; Seok Jin Kim,
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea,Dxome Co. Ltd, 8, Seongnam-si, Gyeonggi-do, Republic of Korea,*Correspondence: Sang-Yong Shin, ; Seung-Tae Lee, ; Seok Jin Kim,
| | - Seok Jin Kim
- Division of Haematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea,Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea,*Correspondence: Sang-Yong Shin, ; Seung-Tae Lee, ; Seok Jin Kim,
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14
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Schroers-Martin JG, Alig S, Garofalo A, Tessoulin B, Sugio T, Alizadeh AA. Molecular Monitoring of Lymphomas. ANNUAL REVIEW OF PATHOLOGY 2023; 18:149-180. [PMID: 36130071 DOI: 10.1146/annurev-pathol-050520-044652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Molecular monitoring of tumor-derived alterations has an established role in the surveillance of leukemias, and emerging nucleic acid sequencing technologies are likely to similarly transform the clinical management of lymphomas. Lymphomas are well suited for molecular surveillance due to relatively high cell-free DNA and circulating tumor DNA concentrations, high somatic mutational burden, and the existence of stereotyped variants enabling focused interrogation of recurrently altered regions. Here, we review the clinical scenarios and key technologies applicable for the molecular monitoring of lymphomas, summarizing current evidence in the literature regarding molecular subtyping and classification, evaluation of treatment response, the surveillance of active cellular therapies, and emerging clinical trial strategies.
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Affiliation(s)
- Joseph G Schroers-Martin
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA;
| | - Stefan Alig
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA;
| | - Andrea Garofalo
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA;
| | - Benoit Tessoulin
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA; .,Current affiliation: Clinical Hematology Department, Nantes University Hospital, Nantes, France
| | - Takeshi Sugio
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA;
| | - Ash A Alizadeh
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA; .,Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California, USA.,Stanford Cancer Institute, Stanford University, Stanford, California, USA
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15
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Wilson-Robles H, Warry E, Miller T, Jarvis J, Matsushita M, Miller P, Herzog M, Turatsinze JV, Kelly TK, Butera ST, Michel G. Monitoring plasma nucleosome concentrations to measure disease response and progression in dogs with hematopoietic malignancies. PLoS One 2023; 18:e0281796. [PMID: 37163491 PMCID: PMC10171669 DOI: 10.1371/journal.pone.0281796] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/12/2023] [Indexed: 05/12/2023] Open
Abstract
BACKGROUND Hematopoietic malignancies are extremely common in pet dogs and represent nearly 30% of the malignancies diagnosed in this population each year. Clinicians commonly use existing tools such as physical exam findings, radiographs, ultrasound and baseline blood work to monitor these patients for treatment response and remission. Circulating biomarkers, such as prostate specific antigen or carcinoembryonic antigen, can be useful tools for monitoring treatment response and remission status in human cancer patients. To date, there has a been a lack of useful circulating biomarkers available to veterinary oncology patients. METHODS Circulating plasma nucleosome concentrations were evaluated at diagnosis, throughout treatment and during remission monitoring for 40 dogs with lymphoma, acute myelogenous leukemia and multiple myeloma. Additionally, C-reactive protein and thymidine kinase-1 levels were recorded. RESULTS Plasma nucleosome concentrations were significantly higher at diagnosis and progressive disease than they were when dogs were in remission. All but two dogs had plasma nucleosome concentrations that returned to the low range during treatment. These two dogs had the shortest progression free and overall survival times. Dogs with the highest plasma nucleosome concentrations had a significantly shorter first progression free survival than dogs with lower plasma nucleosome concentrations at diagnosis. Plasma nucleosome concentrations correlated better with disease response and progression than either thymidine kinase or C reactive protein. CONCLUSIONS Plasma nucleosome concentrations can be a useful tool for treatment monitoring and disease progression in dogs with hematopoietic malignancies.
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Affiliation(s)
- Heather Wilson-Robles
- Small Animal Clinical Sciences Department, Texas A&M University, College Station, Texas, United States of America
- Volition Veterinary Diagnostics Development, Henderson, Nevada, United States of America
| | - Emma Warry
- Small Animal Clinical Sciences Department, Texas A&M University, College Station, Texas, United States of America
| | - Tasha Miller
- Small Animal Clinical Sciences Department, Texas A&M University, College Station, Texas, United States of America
| | - Jill Jarvis
- Small Animal Clinical Sciences Department, Texas A&M University, College Station, Texas, United States of America
| | - Matthew Matsushita
- Small Animal Clinical Sciences Department, Texas A&M University, College Station, Texas, United States of America
| | - Pamela Miller
- Small Animal Clinical Sciences Department, Texas A&M University, College Station, Texas, United States of America
| | - Marielle Herzog
- Belgian Volition SRL, Parc Scientifique Crealys, Isnes, Belgium
| | | | - Theresa K Kelly
- Volition America LLC, Henderson, Nevada, United States of America
| | - S Thomas Butera
- Volition Veterinary Diagnostics Development, Henderson, Nevada, United States of America
| | - Gaetan Michel
- Belgian Volition SRL, Parc Scientifique Crealys, Isnes, Belgium
- Volition America LLC, Henderson, Nevada, United States of America
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16
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Flowers CR. Sequencing therapy in relapsed DLBCL. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2022; 2022:146-154. [PMID: 36485076 PMCID: PMC9820056 DOI: 10.1182/hematology.2022000332] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoid malignancy worldwide, comprising approximately 30% of all lymphomas. Currently, 50% to 60% of patients diagnosed with DLBCL are alive at 5 years and cured with modern therapy, but about 10% to 15% of patients are refractory to first-line therapy, and an additional 20% to 30% relapse following a complete response. Patients who have relapses beyond 2 years may experience more favorable outcomes and have forms of DLBCL that can be distinguished biologically. Patients who experience early relapse or who have primary refractory disease (less than a complete response or relapse within 3 to 6 months of initial therapy) have worse outcomes. For decades, the standard of care treatment strategy for fit patients with relapsed DLBCL has been salvage therapy with non-cross-resistant combination chemoimmunotherapy regimens followed by high-dose chemotherapy and autologous stem cell transplantation (ASCT) as stem cell rescue for patients with chemosensitive disease. Recent data suggest that certain patients may benefit from chimeric antigen receptor T-cell therapy (CAR T) in the second-line setting. Additional novel therapies exist for patients who are ineligible, who are unable to access these therapies, or who fail ASCT and/or CAR T. Despite the advent of new therapies for DLBCL and improved outcomes, DLBCL remains a life-threatening illness. Thus, it is essential for clinicians to engage in serious illness conversations with their patients. Goals-of-care communication can be improved through skills-based training and has been demonstrated to have an impact on patient experiences.
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Affiliation(s)
- Christopher R. Flowers
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
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17
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Kambhampati S, Zain J. Circulating Tumor DNA in Lymphoma. Curr Hematol Malig Rep 2022; 17:298-305. [PMID: 36214943 DOI: 10.1007/s11899-022-00677-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/16/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW Recent advances have been made in circulating tumor DNA (ctDNA), the method to minimally invasive detect lymphoma sensitively with tumor-derived DNA in the blood of patients with lymphomas. This article discusses these various methods of ctDNA detection and the clinical context in which they have been applied to for a variety of lymphoma subtypes. RECENT FINDINGS ctDNA has been applied to a variety of subtypes of lymphoma and has been used in the context of genotyping somatic mutations and classification of disease, monitoring of response during treatment, detecting minimal residual disease even with radiographic remission, and predicting relapse and long-term survival outcomes. There are a variety of techniques used to measure ctDNA including digital polymerase chain reaction and next-generation sequencing techniques including high-throughput variable-diversity-joining rearrangement sequencing, high-throughput sequencing of somatic mutations, and Cancer Personalized Profiling by deep sequencing. While the greatest data has been generated in diffuse large B cell lymphoma, there have been studies utilizing application of ctDNA in follicular lymphoma, mantle cell lymphoma, Hodgkin's lymphoma, peripheral T cell lymphoma, and primary CNS lymphoma among others. ctDNA is an emerging biomarker in lymphoma that can minimally invasively provide further genotypic information, diagnostic clarification, and treatment prognostication by detection of minimal residual disease even without radiographic evidence of disease. Future studies are needed to standardize the use of ctDNA and translate its use clinically for the management of lymphoma patients.
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Affiliation(s)
| | - Jasmine Zain
- City of Hope National Medical Center, Duarte, CA, USA
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18
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Matasar M. Land(mark) ahoy: PFS24 in relapsed/refractory diffuse large B-cell lymphoma. Transplant Cell Ther 2022; 28:521-522. [DOI: 10.1016/j.jtct.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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