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Dixon D, Sattar H, Moros N, Kesireddy SR, Ahsan H, Lakkimsetti M, Fatima M, Doshi D, Sadhu K, Junaid Hassan M. Unveiling the Influence of AI Predictive Analytics on Patient Outcomes: A Comprehensive Narrative Review. Cureus 2024; 16:e59954. [PMID: 38854327 PMCID: PMC11161909 DOI: 10.7759/cureus.59954] [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] [Accepted: 05/08/2024] [Indexed: 06/11/2024] Open
Abstract
This comprehensive literature review explores the transformative impact of artificial intelligence (AI) predictive analytics on healthcare, particularly in improving patient outcomes regarding disease progression, treatment response, and recovery rates. AI, encompassing capabilities such as learning, problem-solving, and decision-making, is leveraged to predict disease progression, optimize treatment plans, and enhance recovery rates through the analysis of vast datasets, including electronic health records (EHRs), imaging, and genetic data. The utilization of machine learning (ML) and deep learning (DL) techniques in predictive analytics enables personalized medicine by facilitating the early detection of conditions, precision in drug discovery, and the tailoring of treatment to individual patient profiles. Ethical considerations, including data privacy, bias, and accountability, emerge as vital in the responsible implementation of AI in healthcare. The findings underscore the potential of AI predictive analytics in revolutionizing clinical decision-making and healthcare delivery, emphasizing the necessity of ethical guidelines and continuous model validation to ensure its safe and effective use in augmenting human judgment in medical practice.
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Affiliation(s)
- Diny Dixon
- Medicine, Jubilee Mission Medical College and Research Institute, Thrissur, IND
| | - Hina Sattar
- Medicine, Dow University of Health Sciences, Karachi, PAK
| | - Natalia Moros
- Medicine, Pontifical Javeriana University Medical School, Bogotá, COL
| | | | - Huma Ahsan
- Medicine, Jinnah Postgraduate Medical Centre, Karachi, PAK
| | | | - Madiha Fatima
- Medicine, Fatima Jinnah Medical University, Lahore, PAK
| | - Dhruvi Doshi
- Medicine, Gujarat Cancer Society Medical College, Hospital & Research Centre, Ahmedabad, IND
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Levkova M, Chervenkov T, Angelova L, Dzenkov D. Oxford Nanopore Technology and its Application in Liquid Biopsies. Curr Genomics 2023; 24:337-344. [PMID: 38327653 PMCID: PMC10845067 DOI: 10.2174/0113892029286632231127055733] [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: 10/10/2023] [Revised: 11/15/2023] [Accepted: 11/20/2023] [Indexed: 02/09/2024] Open
Abstract
Advanced medical technologies are transforming the future of healthcare, in particular, the screening and detection of molecular-genetic changes in patients suspected of having a neoplasm. They are based on the assumption that neoplasms release small amounts of various neoplasm-specific molecules, such as tumor DNA, called circulating DNA (cirDNA), into the extracellular space and subsequently into the blood. The detection of tumor-specific molecules and specific molecular changes in body fluids in a noninvasive or minimally invasive approach is known as "liquid biopsy." The aim of this review is to summarize the current knowledge of the application of ONT for analyzing circulating DNA in the field of liquid biopsies among cancer patients. Databases were searched using the keywords "nanopore" and "liquid biopsy" and by applying strict inclusion criteria. This technique can be used for the detection of neoplastic disease, including metastases, guiding precision therapy, and monitoring its effects. There are many challenges, however, for the successful implementation of this technology into the clinical practice. The first one is the low amount of tumor-specific molecules in the body fluids. Secondly, a tumor molecular signature should be discriminated from benign conditions like clonal hematopoiesis of unknown significance. Oxford Nanopore Technology (ONT) is a third-generation sequencing technology that seems particularly promising to complete these tasks. It offers rapid sequencing thanks to its ability to detect changes in the density of the electric current passing through nanopores. Even though ONT still needs validation technology, it is a promising approach for early diagnosis, therapy guidance, and monitoring of different neoplasms based on analyzing the cirDNA.
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Affiliation(s)
- Mariya Levkova
- Department of Medical Genetics, Medical University Varna, Marin Drinov Str 55, Varna, 9000, Bulgaria
- Laboratory of Medical Genetics, St. Marina Hospital, Hristo Smirnenski Blv 1, Varna, 9000, Bulgaria
| | - Trifon Chervenkov
- Department of Medical Genetics, Medical University Varna, Marin Drinov Str 55, Varna, 9000, Bulgaria
- Laboratory of Clinical immunology, St. Marina Hospital, Hristo Smirnenski Blv 1, Varna, 9000, Bulgaria
| | - Lyudmila Angelova
- Department of Medical Genetics, Medical University Varna, Marin Drinov Str 55, Varna, 9000, Bulgaria
| | - Deyan Dzenkov
- Department of General and Clinical Pathology, Forensic Medicine and Deontology, Division of General and Clinical Pathology, Medical University Varna, Marin Drinov Str 55, Varna, 9000, Bulgaria
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Erez N, Furth N, Fedyuk V, Wadden J, Aittaleb R, Schwark K, Niculcea M, Miclea M, Mody R, Franson A, Eze A, Nourmohammadi N, Nazarian J, Venneti S, Koschmann C, Shema E. Single-molecule systems for detection and monitoring of plasma circulating nucleosomes and oncoproteins in Diffuse Midline Glioma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.21.568019. [PMID: 38045418 PMCID: PMC10690213 DOI: 10.1101/2023.11.21.568019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
The analysis of cell-free tumor DNA (ctDNA) and proteins in the blood of cancer patients potentiates a new generation of non-invasive diagnostics and treatment monitoring approaches. However, confident detection of these tumor-originating markers is challenging, especially in the context of brain tumors, in which extremely low amounts of these analytes circulate in the patient's plasma. Here, we applied a sensitive single-molecule technology to profile multiple histone modifications on millions of individual nucleosomes from the plasma of Diffuse Midline Glioma (DMG) patients. The system reveals epigenetic patterns that are unique to DMG, significantly differentiating this group of patients from healthy subjects or individuals diagnosed with other cancer types. We further develop a method to directly capture and quantify the tumor-originating oncoproteins, H3-K27M and mutant p53, from the plasma of children diagnosed with DMG. This single-molecule system allows for accurate molecular classification of patients, utilizing less than 1ml of liquid-biopsy material. Furthermore, we show that our simple and rapid detection strategy correlates with MRI measurements and droplet-digital PCR (ddPCR) measurements of ctDNA, highlighting the utility of this approach for non-invasive treatment monitoring of DMG patients. This work underscores the clinical potential of single-molecule-based, multi-parametric assays for DMG diagnosis and treatment monitoring.
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Al Sharie S, Abu Laban D, Al-Hussaini M. Decoding Diffuse Midline Gliomas: A Comprehensive Review of Pathogenesis, Diagnosis and Treatment. Cancers (Basel) 2023; 15:4869. [PMID: 37835563 PMCID: PMC10571999 DOI: 10.3390/cancers15194869] [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: 06/26/2023] [Revised: 09/27/2023] [Accepted: 10/03/2023] [Indexed: 10/15/2023] Open
Abstract
Diffuse midline gliomas (DMGs) are a group of aggressive CNS tumors, primarily affecting children and young adults, which have historically been associated with dismal outcomes. As the name implies, they arise in midline structures in the CNS, primarily in the thalamus, brainstem, and spinal cord. In more recent years, significant advances have been made in our understanding of DMGs, including molecular features, with the identification of potential therapeutic targets. We aim to provide an overview of the most recent updates in the field of DMGs, including classification, molecular subtypes, diagnostic techniques, and emerging therapeutic strategies including a review of the ongoing clinical trials, thus providing the treating multidisciplinary team with a comprehensive understanding of the current landscape and potential therapeutic strategies for this devastating group of tumors.
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Affiliation(s)
- Sarah Al Sharie
- Faculty of Medicine, Yarmouk University, Irbid 21163, Jordan;
| | - Dima Abu Laban
- Department of Radiology, King Hussein Cancer Center, Amman 11941, Jordan;
| | - Maysa Al-Hussaini
- Department of Pathology and Laboratory Medicine, King Hussein Cancer Center, Amman 11941, Jordan
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Cerella C, Dicato M, Diederich M. Enhancing personalized immune checkpoint therapy by immune archetyping and pharmacological targeting. Pharmacol Res 2023; 196:106914. [PMID: 37714393 DOI: 10.1016/j.phrs.2023.106914] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 09/04/2023] [Accepted: 09/06/2023] [Indexed: 09/17/2023]
Abstract
Immune checkpoint inhibitors (ICIs) are an expanding class of immunotherapeutic agents with the potential to cure cancer. Despite the outstanding clinical response in patient subsets, most individuals become refractory or develop resistance. Patient stratification and personalized immunotherapies are limited by the absence of predictive response markers. Recent findings show that dominant patterns of immune cell composition, T-cell status and heterogeneity, and spatiotemporal distribution of immune cells within the tumor microenvironment (TME) are becoming essential determinants of prognosis and therapeutic response. In this context, ICIs also function as investigational tools and proof of concept, allowing the validation of the identified mechanisms. After reviewing the current state of ICIs, this article will explore new comprehensive predictive markers for ICIs based on recent discoveries. We will discuss the recent establishment of a classification of TMEs into immune archetypes as a tool for personalized immune profiling, allowing patient stratification before ICI treatment. We will discuss the developing comprehension of T-cell diversity and its role in shaping the immune profile of patients. We describe the potential of strategies that score the mutual spatiotemporal modulation between T-cells and other cellular components of the TME. Additionally, we will provide an overview of a range of synthetic and naturally occurring or derived small molecules. We will compare compounds that were recently identified by in silico prediction to wet lab-validated drug candidates with the potential to function as ICIs and/or modulators of the cellular components of the TME.
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Affiliation(s)
- Claudia Cerella
- Laboratoire de Biologie Moléculaire et Cellulaire du Cancer (LBMCC), Fondation Recherche sur le Cancer et les Maladies du Sang, Pavillon 2, 6A rue Barblé, L-1210 Luxembourg, Luxembourg
| | - Mario Dicato
- Laboratoire de Biologie Moléculaire et Cellulaire du Cancer (LBMCC), Fondation Recherche sur le Cancer et les Maladies du Sang, Pavillon 2, 6A rue Barblé, L-1210 Luxembourg, Luxembourg
| | - Marc Diederich
- Department of Pharmacy, College of Pharmacy, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul 08826, Korea.
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Young JS, Al-Adli N, Scotford K, Cha S, Berger MS. Pseudoprogression versus true progression in glioblastoma: what neurosurgeons need to know. J Neurosurg 2023; 139:748-759. [PMID: 36790010 PMCID: PMC10412732 DOI: 10.3171/2022.12.jns222173] [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: 09/19/2022] [Accepted: 12/12/2022] [Indexed: 02/16/2023]
Abstract
Management of patients with glioblastoma (GBM) is complex and involves implementing standard therapies including resection, radiation therapy, and chemotherapy, as well as novel immunotherapies and targeted small-molecule inhibitors through clinical trials and precision medicine approaches. As treatments have advanced, the radiological and clinical assessment of patients with GBM has become even more challenging and nuanced. Advances in spatial resolution and both anatomical and physiological information that can be derived from MRI have greatly improved the noninvasive assessment of GBM before, during, and after therapy. Identification of pseudoprogression (PsP), defined as changes concerning for tumor progression that are, in fact, transient and related to treatment response, is critical for successful patient management. These temporary changes can produce new clinical symptoms due to mass effect and edema. Differentiating this entity from true tumor progression is a major decision point in the patient's management and prognosis. Providers may choose to start an alternative therapy, transition to a clinical trial, consider repeat resection, or continue with the current therapy in hopes of resolution. In this review, the authors describe the invasive and noninvasive techniques neurosurgeons need to be aware of to identify PsP and facilitate surgical decision-making.
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Affiliation(s)
- Jacob S. Young
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Nadeem Al-Adli
- Department of Neurological Surgery, University of California, San Francisco, California
- School of Medicine, Texas Christian University, Fort Worth, Texas
| | - Katie Scotford
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Soonmee Cha
- Department of Neurological Surgery, University of California, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - Mitchel S. Berger
- Department of Neurological Surgery, University of California, San Francisco, California
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Pietrzak B, Kawacka I, Olejnik-Schmidt A, Schmidt M. Circulating Microbial Cell-Free DNA in Health and Disease. Int J Mol Sci 2023; 24:ijms24033051. [PMID: 36769374 PMCID: PMC9917616 DOI: 10.3390/ijms24033051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/28/2023] [Accepted: 02/01/2023] [Indexed: 02/09/2023] Open
Abstract
Human blood contains low biomass of circulating microbial cell-free DNA (cfmDNA) that predominantly originates from bacteria. Numerous studies have detected circulating cfmDNA in patients with infectious and non-infectious diseases, and in healthy individuals. Remarkable differences were found in the microbial composition of healthy subjects and patients compared to cohorts with various diseases or even patients with diversified prognoses, implying that these alterations may be associated with disease development. Although the function of circulating cfmDNA needs to be elucidated (whether it acts as a bystander of dysbiosis or a key player in disease development), several studies have demonstrated its potential as a non-invasive biomarker that may improve diagnosis and treatment efficacy. The origin of circulating cfmDNA is still the subject of much deliberation, but studies have identified members of various microbiome niches, including the gut, oral cavity, airways, and skin. Further studies investigating the origin and function of circulating cfmDNA are needed. Moreover, low-biomass microbiome studies are prone to contamination, therefore stringent negative experimental control reactions and decontamination frameworks are advised in order to detect genuine circulating cfmDNA.
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Affiliation(s)
- Bernadeta Pietrzak
- Correspondence: (B.P.); (M.S.); Tel.: +48-61-846-6023 (B.P.); +48-61-846-6024 (M.S.)
| | | | | | - Marcin Schmidt
- Correspondence: (B.P.); (M.S.); Tel.: +48-61-846-6023 (B.P.); +48-61-846-6024 (M.S.)
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Tripathy A, John V, Wadden J, Kong S, Sharba S, Koschmann C. Liquid biopsy in pediatric brain tumors. Front Genet 2023; 13:1114762. [PMID: 36685825 PMCID: PMC9853427 DOI: 10.3389/fgene.2022.1114762] [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: 12/02/2022] [Accepted: 12/23/2022] [Indexed: 01/09/2023] Open
Abstract
Malignant primary brain tumors are the most common cancer in children aged 0-14 years, and are the most common cause of death among pediatric cancer patients. Compared to other cancers, pediatric brain tumors have been difficult to diagnose and study given the high risk of intracranial biopsy penetrating through vital midline structures, where the majority of pediatric brain tumors originate (Ostrom et al., 2015). Furthermore, the vast majority of these tumors recur. With limitations in the ability to monitor using clinical and radiographic methods alone, minimally invasive methods such as liquid biopsy will be crucial to our understanding and treatment. Liquid biopsy of blood, urine, and cerebrospinal fluid (CSF) can be used to sample cfDNA, ctDNA, RNA, extracellular vesicles, and tumor-associated proteins. In the past year, four seminal papers have made significant advances in the use of liquid biopsy in pediatric brain tumor patients (Liu et al., 2021; Cantor et al., 2022; Miller et al., 2022; Pagès et al., 2022). In this review, we integrate the results of these studies and others to discuss how the newest technologies in liquid biopsy are being developed for molecular diagnosis and treatment response in pediatric brain tumors.
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Affiliation(s)
- Arushi Tripathy
- Department of Neurosurgery, Michigan Medicine, Ann Arbor, MI, United States
| | - Vishal John
- Department of Pediatrics, Michigan Medicine, Ann Arbor, MI, United States
| | - Jack Wadden
- Department of Pediatrics, Michigan Medicine, Ann Arbor, MI, United States
| | - Seongbae Kong
- Department of Pediatrics, Michigan Medicine, Ann Arbor, MI, United States
| | - Sana Sharba
- Department of Pediatrics, Michigan Medicine, Ann Arbor, MI, United States
| | - Carl Koschmann
- Department of Pediatrics, Michigan Medicine, Ann Arbor, MI, United States
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Biopsy of paediatric brainstem intrinsic tumours: Experience from a Singapore Children’s Hospital. J Clin Neurosci 2022; 106:8-13. [DOI: 10.1016/j.jocn.2022.09.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/30/2022] [Indexed: 11/15/2022]
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10
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Bou Zerdan M, Atoui A, Hijazi A, Basbous L, Abou Zeidane R, Alame SM, Assi HI. Latest updates on cellular and molecular biomarkers of gliomas. Front Oncol 2022; 12:1030366. [PMID: 36425564 PMCID: PMC9678906 DOI: 10.3389/fonc.2022.1030366] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 10/05/2022] [Indexed: 03/05/2024] Open
Abstract
Gliomas are the most common central nervous system malignancies, compromising almost 80% of all brain tumors and is associated with significant mortality. The classification of gliomas has shifted from basic histological perspective to one that is based on molecular biomarkers. Treatment of this type of tumors consists currently of surgery, chemotherapy and radiation therapy. During the past years, there was a limited development of effective glioma diagnostics and therapeutics due to multiple factors including the presence of blood-brain barrier and the heterogeneity of this type of tumors. Currently, it is necessary to highlight the advantage of molecular diagnosis of gliomas to develop patient targeted therapies based on multiple oncogenic pathway. In this review, we will evaluate the development of cellular and molecular biomarkers for the diagnosis of gliomas and the impact of these diagnostic tools for better tailored and targeted therapies.
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Affiliation(s)
- Maroun Bou Zerdan
- Department of Internal Medicine, State University of New York (SUNY) Upstate Medical University, Syracuse, NY, United States
| | - Ali Atoui
- Hematology-Oncology Division, Internal Medicine Department, American University of Beirut Medical Center, Beirut, Lebanon
| | - Ali Hijazi
- Hematology-Oncology Division, Internal Medicine Department, American University of Beirut Medical Center, Beirut, Lebanon
| | - Lynn Basbous
- Hematology-Oncology Division, Internal Medicine Department, American University of Beirut Medical Center, Beirut, Lebanon
| | - Reine Abou Zeidane
- Hematology-Oncology Division, Internal Medicine Department, American University of Beirut Medical Center, Beirut, Lebanon
| | - Saada M Alame
- Department of Pediatrics, Faculty of Medicine, Lebanese University, Beirut, Lebanon
| | - Hazem I Assi
- Hematology-Oncology Division, Internal Medicine Department, American University of Beirut Medical Center, Beirut, Lebanon
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