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Zou H, Liu W, Wang X, Wang Y, Wang C, Qiu C, Liu H, Shan D, Xie T, Huang W, Sui W, Yi S, An G, Xu Y, Ma T, Wang J, Qiu L, Zou D. Dynamic monitoring of circulating tumor DNA reveals outcomes and genomic alterations in patients with relapsed or refractory large B-cell lymphoma undergoing CAR T-cell therapy. J Immunother Cancer 2024; 12:e008450. [PMID: 38443094 PMCID: PMC11146396 DOI: 10.1136/jitc-2023-008450] [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] [Accepted: 01/27/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Over 50% of patients with relapsed or refractory large B-cell lymphoma (r/r LBCL) receiving CD19-targeted chimeric antigen receptor (CAR19) T-cell therapy fail to achieve durable remission. Early identification of relapse or progression remains a significant challenge. In this study, we prospectively investigate the prognostic value of dynamic circulating tumor DNA (ctDNA) and track genetic evolution non-invasively, for the first time in an Asian population of r/r patients undergoing CAR19 T-cell therapy. METHODS Longitudinal plasma samples were prospectively collected both before lymphodepletion and at multiple timepoints after CAR19 T-cell infusion. ctDNA was detected using a capture-based next-generation sequencing which has been validated in untreated LBCL. RESULTS The study enrolled 23 patients with r/r LBCL and collected a total of 101 ctDNA samples. Higher pretreatment ctDNA levels were associated with inferior progression-free survival (PFS) (p=0.031) and overall survival (OS) (p=0.023). Patients with undetectable ctDNA negative (ctDNA-) at day 14 (D14) achieved an impressive 3-month complete response rate of 77.8% vs 22.2% (p=0.015) in patients with detectable ctDNA positive (ctDNA+), similar results observed for D28. CtDNA- at D28 predicted significantly longer 1-year PFS (90.9% vs 27.3%; p=0.004) and OS (90.9% vs 49.1%; p=0.003) compared with patients who remained ctDNA+. Notably, it is the first time to report that shorter ctDNA fragments (<170 base pairs) were significantly associated with poorer PFS (p=0.031 for D14; p=0.002 for D28) and OS (p=0.013 for D14; p=0.008 for D28) in patients with LBCL receiving CAR T-cell therapy. Multiple mutated genes exhibited an elevated prevalence among patients with progressive disease, including TP53, IGLL5, PIM1, BTG1, CD79B, GNA13, and P2RY8. Notably, we observed a significant correlation between IGLL5 mutation and inferior PFS (p=0.008) and OS (p=0.014). CONCLUSIONS Our study highlights that dynamic ctDNA monitoring during CAR T-cell therapy can be a promising non-invasive method for early predicting treatment response and survival outcomes. Additionally, the ctDNA mutational profile provides novel insights into the mechanisms of tumor-intrinsic resistance to CAR19 T-cell therapy.
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Affiliation(s)
- Hesong Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Wei Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
- Tianjin Key Laboratory of Cell Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xiaojuan Wang
- Jichen Biotechnology Co, Ltd, Hangzhou, Zhejiang, China
- Genecn-Biotech Co, Ltd, Hangzhou, Zhejiang, China
| | - Yi Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Chunyang Wang
- Jichen Biotechnology Co, Ltd, Hangzhou, Zhejiang, China
- Genecn-Biotech Co, Ltd, Hangzhou, Zhejiang, China
| | - Chen Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Huimin Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Dandan Shan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Ting Xie
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Wenyang Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Tonghui Ma
- Jichen Biotechnology Co, Ltd, Hangzhou, Zhejiang, China
- Genecn-Biotech Co, Ltd, Hangzhou, Zhejiang, China
| | - Jianxiang Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
- Tianjin Key Laboratory of Cell Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
- Tianjin Key Laboratory of Cell Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
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Diez-Feijóo R, Andrade-Campos M, Gibert J, Sánchez-González B, Fernández-Ibarrondo L, Fernández-Rodríguez C, Garcia-Gisbert N, Camacho L, Lafuente M, Vázquez I, Colomo L, Salar A, Bellosillo B. Cell-Free DNA as a Biomarker at Diagnosis and Follow-Up in 256 B and T-Cell Lymphomas. Cancers (Basel) 2024; 16:321. [PMID: 38254810 PMCID: PMC10813584 DOI: 10.3390/cancers16020321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Cell-free DNA (cfDNA) analysis has become a promising tool for the diagnosis, prognosis, and monitoring of lymphoma cases. Until now, research in this area has mainly focused on aggressive lymphomas, with scanty information from other lymphoma subtypes. METHODS We selected 256 patients diagnosed with lymphomas, including a large variety of B-cell and T-cell non-Hodgkin and Hodgkin lymphomas, and quantified cfDNA from plasma at the time of diagnosis. We further selected 49 large B-cell lymphomas (LBCL) and analyzed cfDNA levels at diagnosis (pre-therapy) and after therapy. In addition, we performed NGS on cfDNA and tissue in this cohort of LBCL. RESULTS Lymphoma patients showed a statistically significant higher cfDNA concentration than healthy controls (mean 53.0 ng/mL vs. 5.6 ng/mL, p < 0.001). The cfDNA concentration was correlated with lymphoma subtype, lactate dehydrogenase, the International Prognostic Index (IPI) score, Ann Arbor (AA), and B-symptoms. In 49 LBCL cases, the cfDNA concentration decreased after therapy in cases who achieved complete response (CR) and increased in non-responders. The median cfDNA at diagnosis of patients who achieved CR and later relapsed was higher (81.5 ng/mL) compared with levels of those who did not (38.6 ng/mL). A concordance of 84% was observed between NGS results in tumor and cfDNA samples. Higher VAF in cfDNA is correlated with advanced stage and bulky disease. CONCLUSIONS cfDNA analysis can be easily performed in almost all lymphoma cases. The cfDNA concentration correlated with the characteristics of the aggressiveness of the lymphomas and, in LBCL, with the response achieved after therapy. These results support the utility of cfDNA analysis as a complementary tool in the management of lymphoma patients.
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Affiliation(s)
- Ramón Diez-Feijóo
- Department of Hematology, Hospital del Mar, 08003 Barcelona, Spain; (R.D.-F.); (M.A.-C.); (B.S.-G.)
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
| | - Marcio Andrade-Campos
- Department of Hematology, Hospital del Mar, 08003 Barcelona, Spain; (R.D.-F.); (M.A.-C.); (B.S.-G.)
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
| | - Joan Gibert
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
| | - Blanca Sánchez-González
- Department of Hematology, Hospital del Mar, 08003 Barcelona, Spain; (R.D.-F.); (M.A.-C.); (B.S.-G.)
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
| | - Lierni Fernández-Ibarrondo
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
| | - Concepción Fernández-Rodríguez
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
- Department of Pathology, Hospital del Mar, Hospital del Mar Research Institute, 08003 Barcelona, Spain;
| | - Nieves Garcia-Gisbert
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
- Department of Pathology, Hospital del Mar, Hospital del Mar Research Institute, 08003 Barcelona, Spain;
| | - Laura Camacho
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
- Department of Pathology, Hospital del Mar, Hospital del Mar Research Institute, 08003 Barcelona, Spain;
| | - Marta Lafuente
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
| | - Ivonne Vázquez
- Department of Pathology, Hospital del Mar, Hospital del Mar Research Institute, 08003 Barcelona, Spain;
| | - Luis Colomo
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
- Department of Pathology, Hospital del Mar, Hospital del Mar Research Institute, 08003 Barcelona, Spain;
| | - Antonio Salar
- Department of Hematology, Hospital del Mar, 08003 Barcelona, Spain; (R.D.-F.); (M.A.-C.); (B.S.-G.)
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
| | - Beatriz Bellosillo
- Cancer Research Program, Hospital del Mar Research Institute, 08003 Barcelona, Spain; (J.G.); (L.F.-I.); (C.F.-R.); (N.G.-G.); (L.C.); (M.L.); (L.C.); (B.B.)
- Department of Pathology, Hospital del Mar, Hospital del Mar Research Institute, 08003 Barcelona, Spain;
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Kim JJ, Kim HM, Kim H, Kim SJ, Lee ST, Choi JR, Shin S, Hwang DY. Circulating Tumor DNA Reflects Histologic and Clinical Characteristics of Various Lymphoma Subtypes. Cancer Res Treat 2024; 56:314-323. [PMID: 37475138 PMCID: PMC10789961 DOI: 10.4143/crt.2023.667] [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: 05/17/2023] [Accepted: 07/15/2023] [Indexed: 07/22/2023] Open
Abstract
PURPOSE We designed and evaluated the clinical performance of a plasma circulating tumor DNA (ctDNA) panel of 112 genes in various subtypes of lymphoma. MATERIALS AND METHODS Targeted deep sequencing with an error-corrected algorithm was performed in ctDNA from plasma samples that were collected before treatment in 42 lymphoma patients. Blood buffy coat was utilized as a germline control. We evaluated the targeted gene panel using mutation detection concordance on the plasma samples with matched tissue samples analyzed the mutation profiles of the ctDNA. RESULTS Next-generation sequencing analysis using matched tissue samples was available for 18 of the 42 patients. At least one mutation was detected in the majority of matched tissue biopsy samples (88.9%) and plasma samples (83.3%). A considerable number of mutations (40.4%) that were detected in the tissue samples were also found in the matched plasma samples. Majority of patients (21/42) were diffuse large B cell lymphoma patients. The overall detection rate of ctDNA in patients was 85.7% (36/42). The frequently mutated genes included PIM1, TET2, BCL2, KMT2D, KLHL6, HIST1H1E, and IRF8. A cutoff concentration (4,506 pg/mL) of ctDNA provided 88.9% sensitivity and 82.1% specificity to predict ctDNA mutation detection. The ctDNA concentration correlated with elevated lactate dehydrogenase level and the disease stage. CONCLUSION Our design panel can detect many actionable gene mutations, including those at low frequency. Therefore, liquid biopsy can be applied clinically in the evaluation of lymphoma patients, especially in aggressive lymphoma patients.
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Affiliation(s)
- Jin Ju Kim
- Department of Laboratory Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Hye Min Kim
- Department of Pathology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Hongkyung Kim
- Department of Laboratory Medicine, Chung-Ang University Gwangmyung Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Korea
| | - Soo-Jeong Kim
- Division of Hemato-Oncology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Saeam Shin
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Doh Yu Hwang
- Division of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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Camus V, Viailly PJ, Drieux F, Veresezan EL, Sesques P, Haioun C, Durot E, Patey M, Rossi C, Martin L, Rainville V, Bohers E, Ruminy P, Penther D, Kaltenbach S, Bruneau J, Paillassa J, Tournilhac O, Willaume A, Antier C, Lazarovici J, Lévêque E, Decazes P, Becker S, Tonnelet D, Berriolo-Riedinger A, Gaulard P, Tilly H, Molina TJ, Traverse-Glehen A, Jardin F. High PDL1/PDL2 gene expression correlates with worse outcome in primary mediastinal large B-cell lymphoma. Blood Adv 2023; 7:7331-7345. [PMID: 37862676 PMCID: PMC10701594 DOI: 10.1182/bloodadvances.2023011169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/11/2023] [Accepted: 10/09/2023] [Indexed: 10/22/2023] Open
Abstract
Primary mediastinal B-cell lymphoma (PMBL) is an uncommon entity of aggressive B-cell lymphoma with an unusually good prognosis, except for 10-15% of chemotherapy-refractory cases. To identify earlier these higher risk patients, we performed molecular characterization of a retrospective multicenter cohort of patients treated with firstline immunochemotherapy. The traits of the patients with gene-expression profiling data (n = 120) were as follows: median age of 34 years (range, 18-67 years); female sex, 58.3%; elevated lactate dehydrogenase, 82.5%; Eastern Cooperative Oncology Group performance status score of 0 to 1, 85.7%; Ann Arbor stage I/II, 55%; International Prognostic Index score of 1 to 2, 64.4%; and median metabolic tumor volume, 290.4 cm3 (range, 15.7-1147.5 cm3). Among all 137 markers tested for correlation with survival data, only programmed death-ligand (PDL) 1 and PDL2 expression showed a prognostic impact. Overall, both PDL1 and PDL2 genes were highly expressed in 37 patients (30.8%; PDL1high/PDL2high). The baseline clinical characteristics of patients with PDL1high/PDL2high were similar to those of other patients. In univariate analysis, PDL1high/PDL2high status was associated with poor progression-free survival (PFS) (hazard ratio [HR], 4.292) and overall survival (OS; HR, 8.24). In multivariate analysis, PDL1high/PDL2high status was an independent prognostic factor of adverse outcomes (PFS: HR, 5.22; OS: HR, 10.368). We validated these results in an independent cohort of 40 patients and confirmed the significant association between PDL1high/PDL2high status and inferior PFS (HR, 6.11). High PDL1/PDL2 gene expression defines a population with strong immune privilege and poorer outcomes from standard chemotherapy who might benefit from firstline checkpoint inhibitor therapy.
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Affiliation(s)
- Vincent Camus
- Department of Hematology, Centre Henri Becquerel, Rouen, France
- INSERM U1245, Centre Henri Becquerel, University of Rouen, Rouen, France
| | | | - Fanny Drieux
- Department of Pathology, Centre Henri Becquerel, Rouen, France
| | | | - Pierre Sesques
- Department of Hematology, Hospices Civils de Lyon, Pierre-Bénite, France
| | - Corinne Haioun
- Lymphoid malignancies Unit, Henri Mondor University Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France
| | - Eric Durot
- Department of Hematology, Centre Hospitalier Universitaire (CHU) de Reims, Reims, France
| | - Martine Patey
- Department of Pathology, CHU de Reims, Reims, France
| | - Cédric Rossi
- Department of Hematology, Dijon University Hospital, Dijon, France
| | - Laurent Martin
- Department of Pathology, Dijon University Hospital, Dijon, France
| | - Vinciane Rainville
- INSERM U1245, Centre Henri Becquerel, University of Rouen, Rouen, France
| | - Elodie Bohers
- INSERM U1245, Centre Henri Becquerel, University of Rouen, Rouen, France
| | - Philippe Ruminy
- INSERM U1245, Centre Henri Becquerel, University of Rouen, Rouen, France
| | - Dominique Penther
- INSERM U1245, Centre Henri Becquerel, University of Rouen, Rouen, France
- Department of Genetic Oncology, Centre Henri Becquerel, Rouen France
| | - Sophie Kaltenbach
- Laboratory of Onco-Hematology, Necker Children's Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Julie Bruneau
- Université de Paris, Institut Imagine, Laboratory of Hematological Disorders, INSERM UMR1163, Paris, France
- Department of Pathology, Université Paris Cité, Assistance Publique-Hôpitaux de Paris, Necker and Robert Debré, Paris, France
| | - Jérome Paillassa
- Department of Hematology, Angers University Hospital, Angers, France
| | - Olivier Tournilhac
- Department of Hematology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Alexandre Willaume
- Department of Hematology, Lille University Hospital – Hôpital Claude Hurriez, Lille, France
| | - Chloé Antier
- Department of Hematology, University Hospital, Nantes, France
| | - Julien Lazarovici
- Department of Hematology, Institut Gustave Roussy, Villejuif, France
| | - Emilie Lévêque
- Clinical Research Unit, Centre Henri Becquerel, Rouen, France
| | - Pierre Decazes
- Department of Nuclear Medicine and QuantIF-LITIS-EA4108, University of Rouen, Centre Henri Becquerel, Rouen, France
| | - Stéphanie Becker
- Department of Nuclear Medicine and QuantIF-LITIS-EA4108, University of Rouen, Centre Henri Becquerel, Rouen, France
| | - David Tonnelet
- Department of Nuclear Medicine and QuantIF-LITIS-EA4108, University of Rouen, Centre Henri Becquerel, Rouen, France
| | | | - Philippe Gaulard
- Department of Pathology, Henri Mondor University Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France
| | - Hervé Tilly
- Department of Hematology, Centre Henri Becquerel, Rouen, France
- INSERM U1245, Centre Henri Becquerel, University of Rouen, Rouen, France
| | - Thierry Jo Molina
- Department of Pathology, Université Paris Cité, Assistance Publique-Hôpitaux de Paris, Necker and Robert Debré, Paris, France
| | | | - Fabrice Jardin
- Department of Hematology, Centre Henri Becquerel, Rouen, France
- INSERM U1245, Centre Henri Becquerel, University of Rouen, Rouen, France
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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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Berta D, Girma M, Melku M, Adane T, Birke B, Yalew A. Role of RNA Splicing Mutations in Diffuse Large B Cell Lymphoma. Int J Gen Med 2023; 16:2469-2480. [PMID: 37342407 PMCID: PMC10278864 DOI: 10.2147/ijgm.s414106] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 06/08/2023] [Indexed: 06/22/2023] Open
Abstract
Ribonucleic acid splicing is a crucial process to create a mature mRNA molecule by removing introns and ligating exons. This is a highly regulated process, but any alteration in splicing factors, splicing sites, or auxiliary components affects the final products of the gene. In diffuse large B-cell lymphoma, splicing mutations such as mutant splice sites, aberrant alternative splicing, exon skipping, and intron retention are detected. The alteration affects tumor suppression, DNA repair, cell cycle, cell differentiation, cell proliferation, and apoptosis. As a result, malignant transformation, cancer progression, and metastasis occurred in B cells at the germinal center. B-cell lymphoma 7 protein family member A (BCL7A), cluster of differentiation 79B (CD79B), myeloid differentiation primary response gene 88 (MYD88), tumor protein P53 (TP53), signal transducer and activator of transcription (STAT), serum- and glucose-regulated kinase 1 (SGK1), Pou class 2 associating factor 1 (POU2AF1), and neurogenic locus notch homolog protein 1 (NOTCH) are the most common genes affected by splicing mutations in diffuse large B cell lymphoma.
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Affiliation(s)
- Dereje Berta
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mekonnen Girma
- Department of Quality Assurance and Laboratory Management, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mulugeta Melku
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Tiruneh Adane
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Bisrat Birke
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Aregawi Yalew
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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Li M, Mi L, Wang C, Wang X, Zhu J, Qi F, Yu H, Ye Y, Wang D, Cao J, Hu D, Yang Q, Zhao D, Ma T, Song Y, Zhu J. Clinical implications of circulating tumor DNA in predicting the outcome of diffuse large B cell lymphoma patients receiving first-line therapy. BMC Med 2022; 20:369. [PMID: 36280874 PMCID: PMC9594942 DOI: 10.1186/s12916-022-02562-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 09/09/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Circulating tumor DNA (ctDNA) has been proven to be a promising tumor-specific biomarker in solid tumors, but its clinical utility in risk stratification and early prediction of relapse for diffuse large B cell lymphoma (DLBCL) has not been well explored. METHODS Here, using a lymphoma-specific sequencing panel, we assessed the prognostic and predictive utilities of ctDNA measurements before, during, and after first-line therapy in 73 Chinese DLBCL patients. RESULTS The pretreatment ctDNA level serving as an independent prognostic factor for both progression-free survival (PFS, adjusted HR 2.47; p = 0.004) and overall survival (OS, adjusted HR 2.49; p = 0.011) was confirmed in our cohort. Furthermore, the patients classified as molecular responders who presented a larger decrease in ctDNA levels after the initial two treatment cycles had more favorable PFS (unreached vs. 6.25 months; HR 5.348; p = 0.0015) and OS (unreached vs. 25.87; HR 4.0; p = 0.028) than non-responders. In addition, interim ctDNA clearance may be an alternative noninvasive method of positron emission tomography and computed tomography (PET-CT) for predicting better PFS (HR 3.65; p = 0.0033) and OS (HR 3.536; p = 0.016). We also demonstrated that posttreatment ctDNA was a sensitive indicator for detecting minimal residual disease (MRD) in patients with a high risk of recurrence (HR 6.471; p = 0.014), who were otherwise claimed to achieve radiographic CR (complete remission). CONCLUSIONS CtDNA is a promising noninvasive tool for prognosis prediction, response assessment, and early relapse prediction of first-line treatment in DLBCL patients.
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Affiliation(s)
- Miaomiao Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Lan Mi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Chunyang Wang
- Jichenjunchuang Clinical Laboratory, Hangzhou, Zhejiang, China
| | - Xiaojuan Wang
- Jichenjunchuang Clinical Laboratory, Hangzhou, Zhejiang, China
| | - Jianhua Zhu
- Jichenjunchuang Clinical Laboratory, Hangzhou, Zhejiang, China
| | - Fei Qi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Hui Yu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Yingying Ye
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Dedao Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Jiaowu Cao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Dingyao Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Quanyu Yang
- Jichenjunchuang Clinical Laboratory, Hangzhou, Zhejiang, China
| | - Dandan Zhao
- Jichenjunchuang Clinical Laboratory, Hangzhou, Zhejiang, China
| | - Tonghui Ma
- Jichenjunchuang Clinical Laboratory, Hangzhou, Zhejiang, China.
| | - Yuqin Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Jun Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
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