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Calimeri T, Anzalone N, Cangi MG, Fiore P, Gagliardi F, Miserocchi E, Ponzoni M, Ferreri AJM. Molecular diagnosis of primary CNS lymphoma in 2024 using MYD88 Leu265Pro and IL-10. Lancet Haematol 2024; 11:e540-e549. [PMID: 38937027 DOI: 10.1016/s2352-3026(24)00104-2] [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: 01/21/2024] [Revised: 04/01/2024] [Accepted: 04/09/2024] [Indexed: 06/29/2024]
Abstract
Early diagnosis is crucial for the successful treatment of primary CNS lymphoma (PCNSL), a rapidly progressing tumour. Suspicion raised on brain MRI must be confirmed by a histopathological diagnosis of a tumour specimen collected by stereotactic biopsy. In rare cases, cerebrospinal fluid (CSF) or vitreous humour might aid in providing a cytological diagnosis. Several disease-related, patient-related, and treatment-related factors affect the timing and accuracy of diagnosis and patient outcome. Some molecules detected in CSF, aqueous and vitreous humour, and peripheral blood were proposed as diagnostic biomarkers for PCNSL; however, detection methods for most of these molecules are not yet standardised, have a long turnaround time, are expensive, and have little reproducibility among labs. By contrast, the MYD88Leu265Pro somatic hotspot mutation, revealed by PCR-based assay, is currently and reliably used during the diagnosis of some lymphomas, and IL-10, measured by enzyme-linked immunosorbent assay, is routinely used to diagnose and monitor different common metabolic and immunological diseases. Several independent studies have shown that MYD88Leu265Pro and IL-10 can be easily assessed in peripheral blood, plasma, aqueous and vitreous humour, and CSF of patients with PCNSL with substantial sensitivity and specificity, especially when evaluated in combination. In this Viewpoint, evidence supporting the routine use of MYD88Leu265Pro and IL-10 in diagnosing PCNSL is considered, and some examples of the frequent difficulties found in the diagnosis of PCNSL are provided, highlighting the role and indications of these two biomarkers to improve the timely recognition of this aggressive tumour.
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Affiliation(s)
| | - Nicoletta Anzalone
- Neuroradiology Unit, IRCCS Ospedale San Raffaele, Milan, Italy; University Vita-Salute San Raffaele, Milan, Italy
| | | | - Paolo Fiore
- Lymphoma Unit, IRCCS Ospedale San Raffaele, Milan, Italy; University Vita-Salute San Raffaele, Milan, Italy
| | - Filippo Gagliardi
- Department of Neurosurgery and Gamma Knife Radiosurgery, IRCCS Ospedale San Raffaele, Milan, Italy; University Vita-Salute San Raffaele, Milan, Italy
| | - Elisabetta Miserocchi
- Ophthalmological Unit, IRCCS Ospedale San Raffaele, Milan, Italy; University Vita-Salute San Raffaele, Milan, Italy
| | - Maurilio Ponzoni
- Pathology Unit, IRCCS Ospedale San Raffaele, Milan, Italy; University Vita-Salute San Raffaele, Milan, Italy
| | - Andrés J M Ferreri
- Lymphoma Unit, IRCCS Ospedale San Raffaele, Milan, Italy; University Vita-Salute San Raffaele, Milan, Italy
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2
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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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Lauer EM, Riegler E, Mutter JA, Alig SK, Bleul S, Kuehn J, Ranganathan L, Klingler C, Demerath T, Würtemberger U, Rau A, Weiß J, Eisenblaetter M, Bamberg F, Prinz M, Finke J, Duyster J, Illerhaus G, Diehn M, Alizadeh AA, Schorb E, Reinacher PC, Scherer F. Improved early outcome prediction by MRI-based 3D tumor volume assessment in patients with CNS lymphomas. Neuro Oncol 2024; 26:374-386. [PMID: 37713267 PMCID: PMC10836777 DOI: 10.1093/neuonc/noad177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Central nervous system lymphomas (CNSL) display remarkable clinical heterogeneity, yet accurate prediction of outcomes remains challenging. The IPCG criteria are widely used in routine practice for the assessment of treatment response. However, the value of the IPCG criteria for ultimate outcome prediction is largely unclear, mainly due to the uncertainty in delineating complete from partial responses during and after treatment. METHODS We explored various MRI features including semi-automated 3D tumor volume measurements at different disease milestones and their association with survival in 93 CNSL patients undergoing curative-intent treatment. RESULTS At diagnosis, patients with more than 3 lymphoma lesions, periventricular involvement, and high 3D tumor volumes showed significantly unfavorable PFS and OS. At first interim MRI during treatment, the IPCG criteria failed to discriminate outcomes in responding patients. Therefore, we randomized these patients into training and validation cohorts to investigate whether 3D tumor volumetry could improve outcome prediction. We identified a 3D tumor volume reduction of ≥97% as the optimal threshold for risk stratification (=3D early response, 3D_ER). Applied to the validation cohort, patients achieving 3D_ER had significantly superior outcomes. In multivariate analyses, 3D_ER was independently prognostic of PFS and OS. Finally, we leveraged prognostic information from 3D MRI features and circulating biomarkers to build a composite metric that further improved outcome prediction in CNSL. CONCLUSIONS We developed semi-automated 3D tumor volume measurements as strong and independent early predictors of clinical outcomes in CNSL patients. These radiologic features could help improve risk stratification and help guide future treatment approaches.
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Affiliation(s)
- Eliza M Lauer
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ella Riegler
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jurik A Mutter
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Divisions of Oncology and Hematology, Department of Medicine, Stanford University, Stanford, CA, USA
| | | | - Sabine Bleul
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Julia Kuehn
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Lavanya Ranganathan
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christian Klingler
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Theo Demerath
- Department of Neuroradiology, Medical Center, University of Freiburg, Freiburg, Germany
| | - Urs Würtemberger
- Department of Neuroradiology, Medical Center, University of Freiburg, Freiburg, Germany
| | - Alexander Rau
- Department of Neuroradiology, Medical Center, University of Freiburg, Freiburg, Germany
- Department of Radiology, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jakob Weiß
- Department of Radiology, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Michel Eisenblaetter
- Department of Radiology, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Fabian Bamberg
- Department of Radiology, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Marco Prinz
- Institute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany
- Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
| | - Jürgen Finke
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Justus Duyster
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Gerald Illerhaus
- Department of Hematology/Oncology and Palliative Care, Klinikum Stuttgart, Stuttgart, Germany
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford School of Medicine, Stanford, CA, USA
| | - Ash A Alizadeh
- Divisions of Oncology and Hematology, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Elisabeth Schorb
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Peter C Reinacher
- Department of Stereotactic and Functional Neurosurgery, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Fraunhofer Institute for Laser Technology (ILT), Aachen, Germany
| | - Florian Scherer
- Department of Medicine I, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK) Partner Cite Freiburg and German Cancer Research Center (DKFZ), Heidelberg, Germany
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