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Gavryushin AV, Papusha LI, Veselkov AA, Zaitseva MA, Khukhlaeva EA, Konovalov AN, Druy AE. [Liquid biopsy for detection of H3K27m and BRAF V600E mutations in patients with diffuse brainstem tumors]. ZHURNAL VOPROSY NEIROKHIRURGII IMENI N. N. BURDENKO 2025; 89:11-19. [PMID: 39907662 DOI: 10.17116/neiro20258901111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2025]
Abstract
Despite the progress in understanding the pathogenesis of diffuse brainstem tumors, treatment of these neoplasms is usually empirical and conducted without morphological and molecular verification. Liquid biopsy is a minimally invasive technique providing data on tumor biology without standard biopsy. This method is based on analysis of cell-free nucleic acids (predominantly, extracellular DNA) in biological fluids with detection of specific mutations. Despite wide implementation in diagnosis and disease monitoring in extracranial malignancies, it is infrequently applied in neuro-oncology. OBJECTIVE To estimate diagnostic value of liquid biopsy in detecting H3K27 and BRAF V600E mutations in patients with diffuse brainstem tumors. MATERIAL AND METHODS Lumbar puncture with cerebrospinal fluid sampling was performed in 16 patients (5 children and 11 adults) with diffuse brainstem tumors verified by neuroimaging data. Cell-free DNA (cfDNA) was used in digital droplet PCR for determination of H3F3A K28M and BRAF V600E oncogenic missense variants. In 14 patients, investigation of cfDNA was performed in parallel with analysis of correspondent mutations in DNA derived from tumor tissue. RESULTS None patient had BRAF V600E mutation. H3F3A K28M variant was detected in 5 CSF samples and 6 tumor specimens from patients who underwent surgical biopsy. Thus, overall sensitivity of the method in determination of H3F3A K28M variant was 92.9% (13/14). CONCLUSION Liquid biopsy is highly informative for identifying the specific mutation H3F3A K28M and often verifies diffuse brainstem glioma without standard biopsy.
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Affiliation(s)
- A V Gavryushin
- Burdenko Neurosurgical Center, Moscow, Russia
- Dmitry Rogachev National Medical Research Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - L I Papusha
- Dmitry Rogachev National Medical Research Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | | | - M A Zaitseva
- Dmitry Rogachev National Medical Research Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | | | | | - A E Druy
- Dmitry Rogachev National Medical Research Center for Pediatric Hematology, Oncology and Immunology, Moscow, Russia
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Frosina G. Advancements in Image-Based Models for High-Grade Gliomas Might Be Accelerated. Cancers (Basel) 2024; 16:1566. [PMID: 38672647 PMCID: PMC11048778 DOI: 10.3390/cancers16081566] [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: 03/05/2024] [Revised: 04/08/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
The first half of 2022 saw the publication of several major research advances in image-based models and artificial intelligence applications to optimize treatment strategies for high-grade gliomas, the deadliest brain tumors. We review them and discuss the barriers that delay their entry into clinical practice; particularly, the small sample size and the heterogeneity of the study designs and methodologies used. We will also write about the poor and late palliation that patients suffering from high-grade glioma can count on at the end of life, as well as the current legislative instruments, with particular reference to Italy. We suggest measures to accelerate the gradual progress in image-based models and end of life care for patients with high-grade glioma.
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Affiliation(s)
- Guido Frosina
- Mutagenesis & Cancer Prevention Unit, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genova, Italy
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Valerius AR, Webb MJ, Hammad N, Sener U, Malani R. Cerebrospinal Fluid Liquid Biopsies in the Evaluation of Adult Gliomas. Curr Oncol Rep 2024; 26:377-390. [PMID: 38488990 DOI: 10.1007/s11912-024-01517-6] [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: 03/05/2024] [Indexed: 03/17/2024]
Abstract
PURPOSE OF REVIEW This review aims to discuss recent research regarding the biomolecules explored in liquid biopsies and their potential clinical uses for adult-type diffuse gliomas. RECENT FINDINGS Evaluation of tumor biomolecules via cerebrospinal fluid (CSF) is an emerging technology in neuro-oncology. Studies to date have already identified various circulating tumor DNA, extracellular vesicle, micro-messenger RNA and protein biomarkers of interest. These biomarkers show potential to assist in multiple avenues of central nervous system (CNS) tumor evaluation, including tumor differentiation and diagnosis, treatment selection, response assessment, detection of tumor progression, and prognosis. In addition, CSF liquid biopsies have the potential to better characterize tumor heterogeneity compared to conventional tissue collection and CNS imaging. Current imaging modalities are not sufficient to establish a definitive glioma diagnosis and repeated tissue sampling via conventional biopsy is risky, therefore, there is a great need to improve non-invasive and minimally invasive sampling methods. CSF liquid biopsies represent a promising, minimally invasive adjunct to current approaches which can provide diagnostic and prognostic information as well as aid in response assessment.
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Affiliation(s)
| | - Mason J Webb
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Nouran Hammad
- Jordan University of Science and Technology School of Medicine, Irbid, Jordan
| | - Ugur Sener
- Department of Neurology, Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Rachna Malani
- University of UT - Huntsman Cancer Institute (Department of Neurosurgery), Salt Lake City, UT, USA
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Crucitta S, Pasqualetti F, Gonnelli A, Ruglioni M, Luculli GI, Cantarella M, Ortenzi V, Scatena C, Paiar F, Naccarato AG, Danesi R, Del Re M. IDH1 mutation is detectable in plasma cell-free DNA and is associated with survival outcome in glioma patients. BMC Cancer 2024; 24:31. [PMID: 38172718 PMCID: PMC10763009 DOI: 10.1186/s12885-023-11726-0] [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] [Received: 11/02/2023] [Accepted: 12/07/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Circulating cell-free DNA (cfDNA, liquid biopsy) is a powerful tool to detect molecular alterations. However, depending on tumor characteristics, biology and anatomic localization, cfDNA detection and analysis may be challenging. Gliomas are enclosed into an anatomic sanctuary, which obstacles the release of cfDNA into the peripheral blood. Therefore, the advantages of using liquid biopsy for brain tumors is still to be confirmed. The present study evaluates the ability of liquid biopsy to detect IDH1 mutations and its correlation with survival and clinical characteristics of glioma patients. METHODS Blood samples obtained from glioma patients were collected after surgery prior to the adjuvant therapy. cfDNA was extracted from plasma and IDH1 p.R132H mutation analysis was performed on a digital droplet PCR. χ2-test and Cohen k were used to assess the correlation between plasma and tissue IDH1 status, while Kaplan Meier curve and Cox regression analysis were applied to survival analysis. Statistical calculations were performed by MedCalc and GraphPad Prism software. RESULTS A total of 67 samples were collected. A concordance between IDH1 status in tissue and in plasma was found (p = 0.0024), and the presence of the IDH1 mutation both in tissue (138.8 months vs 24.4, p < 0.0001) and cfDNA (116.3 months vs 35.8, p = 0.016) was associated with longer median OS. A significant association between IDH1 mutation both in tissue and cfDNA, age, tumor grade and OS was demonstrated by univariate Cox regression analysis. No statistically significant association between IDH1 mutation and tumor grade was found (p = 0.10). CONCLUSIONS The present study demonstrates that liquid biopsy may be used in brain tumors to detect IDH1 mutation which represents an important prognostic biomarker in patients with different types of gliomas, being associated to OS.
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Affiliation(s)
- Stefania Crucitta
- Unit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Francesco Pasqualetti
- Radiation Oncology, Department of Medicine and Oncology, University of Pisa, Pisa, Italy
- Department of Oncology, University of Oxford, Oxford, UK
| | - Alessandra Gonnelli
- Radiation Oncology, Department of Medicine and Oncology, University of Pisa, Pisa, Italy
| | - Martina Ruglioni
- Unit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Giovanna Irene Luculli
- Unit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Martina Cantarella
- Radiation Oncology, Department of Medicine and Oncology, University of Pisa, Pisa, Italy
| | - Valerio Ortenzi
- Division of Pathology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Pisa, Italy
| | - Cristian Scatena
- Division of Pathology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Pisa, Italy
| | - Fabiola Paiar
- Radiation Oncology, Department of Medicine and Oncology, University of Pisa, Pisa, Italy
| | - Antonio Giuseppe Naccarato
- Division of Pathology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Pisa, Italy
| | - Romano Danesi
- Unit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
- Department of Oncology and Hemato-Oncology, University of Milano, Via Festa del Perdono, 7, Milano, 20122, Italy.
| | - Marzia Del Re
- Unit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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Pasqualetti F, Miniati M, Gonnelli A, Gadducci G, Giannini N, Palagini L, Mancino M, Fuentes T, Paiar F. Cancer Stem Cells and Glioblastoma: Time for Innovative Biomarkers of Radio-Resistance? BIOLOGY 2023; 12:1295. [PMID: 37887005 PMCID: PMC10604498 DOI: 10.3390/biology12101295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/22/2023] [Accepted: 09/23/2023] [Indexed: 10/28/2023]
Abstract
Despite countless papers in the field of radioresistance, researchers are still far from clearly understanding the mechanisms triggered in glioblastoma. Cancer stem cells (CSC) are important to the growth and spread of cancer, according to many studies. In addition, more recently, it has been suggested that CSCs have an impact on glioblastoma patients' prognosis, tumor aggressiveness, and treatment outcomes. In reviewing this new area of biology, we will provide a summary of the most recent research on CSCs and their role in the response to radio-chemotherapy in GB. In this review, we will examine the radiosensitivity of stem cells. Moreover, we summarize the current knowledge of the biomarkers of stemness and evaluate their potential function in the study of radiosensitivity.
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Affiliation(s)
- Francesco Pasqualetti
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56100 Pisa, Italy; (F.P.); (A.G.); (G.G.); (N.G.); (M.M.); (T.F.); (F.P.)
| | - Mario Miniati
- Department of Clinical and Experimental Medicine, University of Pisa, Italy, Via Roma 67, 56100 Pisa, Italy;
| | - Alessandra Gonnelli
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56100 Pisa, Italy; (F.P.); (A.G.); (G.G.); (N.G.); (M.M.); (T.F.); (F.P.)
| | - Giovanni Gadducci
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56100 Pisa, Italy; (F.P.); (A.G.); (G.G.); (N.G.); (M.M.); (T.F.); (F.P.)
| | - Noemi Giannini
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56100 Pisa, Italy; (F.P.); (A.G.); (G.G.); (N.G.); (M.M.); (T.F.); (F.P.)
| | - Laura Palagini
- Department of Clinical and Experimental Medicine, University of Pisa, Italy, Via Roma 67, 56100 Pisa, Italy;
| | - Maricia Mancino
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56100 Pisa, Italy; (F.P.); (A.G.); (G.G.); (N.G.); (M.M.); (T.F.); (F.P.)
| | - Taiusha Fuentes
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56100 Pisa, Italy; (F.P.); (A.G.); (G.G.); (N.G.); (M.M.); (T.F.); (F.P.)
| | - Fabiola Paiar
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56100 Pisa, Italy; (F.P.); (A.G.); (G.G.); (N.G.); (M.M.); (T.F.); (F.P.)
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Pasqualetti F, Barberis A, Zanotti S, Montemurro N, De Salvo GL, Soffietti R, Mazzanti CM, Ius T, Caffo M, Paiar F, Bocci G, Lombardi G, Harris AL, Buffa FM. The impact of survivorship bias in glioblastoma research. Crit Rev Oncol Hematol 2023; 188:104065. [PMID: 37392899 DOI: 10.1016/j.critrevonc.2023.104065] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/03/2023] Open
Abstract
Despite advances in the therapy of Central Nervous System (CNS) malignancies, treatment of glioblastoma (GB) poses significant challenges due to GB resistance and high recurrence rates following post-operative radio-chemotherapy. The majority of prognostic and predictive GB biomarkers are currently developed using tumour samples obtained through surgical interventions. However, the selection criteria adopted by different neurosurgeons to determine which cases are suitable for surgery make operated patients not representative of all GB cases. Particularly, geriatric and frail individuals are excluded from surgical consideration in some cancer centers. Such selection generates a survival (or selection) bias that introduces limitations, rendering the patients or data chosen for downstream analyses not representative of the entire community. In this review, we discuss the implication of survivorship bias on current and novel biomarkers for patient selection, stratification, therapy, and outcome analyses.
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Affiliation(s)
- Francesco Pasqualetti
- Department of Oncology, University of Oxford, Oxford, UK; Radiation Oncology, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy.
| | | | - Sofia Zanotti
- Anatomic Pathology Unit, IRCCS Humanitas University Research Hospital, Milan, Italy
| | - Nicola Montemurro
- Department of Neurosurgery, Azienda Ospedaliero Universitaria Pisana (AOUP), Pisa, Italy
| | | | - Riccardo Soffietti
- Division of Neuro-Oncology, Department of Neuroscience, University and City of Health and Science University Hospital, Turin, Italy
| | | | - Tamara Ius
- Neurosurgery Unit, Head-Neck and NeuroScience Department University Hospital of Udine, p.le S. Maria della Misericordia 15, 33100 Udine, Italy
| | - Maria Caffo
- Unit of Neurosurgery, Department of Biomorphology and Dental Sciences and Morfophunctional Imaging, University Hospital "G. Martino", Messina, Italy
| | - Fabiola Paiar
- Radiation Oncology, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - Guido Bocci
- Department of Clinical and Experimental Medicine, University of Pisa, I-56126 Pisa, Italy
| | - Giuseppe Lombardi
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, 35128 Padua, Italy
| | | | - Francesca M Buffa
- Department of Oncology, University of Oxford, Oxford, UK; Department of Computing Sciences, Bocconi University, Milan, Italy; Institute for Data Science and Analytics, Bocconi University, Milano, Italy
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