Imaging biomarkers for clinical applications in neuro-oncology: current status and future perspectives

被引:34
作者
Chiu, Fang-Ying [1 ,2 ,3 ]
Yen, Yun [1 ,4 ,5 ,6 ,7 ]
机构
[1] Tzu Chi Univ, Ctr Canc Translat Res, Hualien 970374, Taiwan
[2] Tzu Chi Univ, Ctr Brain & Neurobiol Res, Hualien 970374, Taiwan
[3] Tzu Chi Univ, Teaching & Res Headquarters Sustainable Dev Goals, Hualien 970374, Taiwan
[4] Taipei Med Univ, Ph D Program Canc Biol & Drug Discovery, Taipei 110301, Taiwan
[5] Taipei Med Univ, Grad Inst Canc Biol & Drug Discovery, Coll Med Sci & Technol, Taipei 110301, Taiwan
[6] Taipei Med Univ, TMU Res Ctr Canc Translat Med, Taipei 110301, Taiwan
[7] Taipei Municipal WanFang Hosp, Canc Ctr, Taipei 116081, Taiwan
关键词
Glioma; Molecular imaging; Multiparametric MR images; Precision medicine; Quantitative imaging biomarkers; Theranostics; TERT PROMOTER MUTATIONS; CENTRAL-NERVOUS-SYSTEM; CT PERFUSION; BRAIN-TUMORS; QUANTITATIVE-ANALYSIS; C-11-METHIONINE PET; PRECISION MEDICINE; TREATMENT RESPONSE; CANCER; GLIOMA;
D O I
10.1186/s40364-023-00476-7
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Biomarker discovery and development are popular for detecting the subtle diseases. However, biomarkers are needed to be validated and approved, and even fewer are ever used clinically. Imaging biomarkers have a crucial role in the treatment of cancer patients because they provide objective information on tumor biology, the tumor's habitat, and the tumor's signature in the environment. Tumor changes in response to an intervention complement molecular and genomic translational diagnosis as well as quantitative information. Neuro-oncology has become more prominent in diagnostics and targeted therapies. The classification of tumors has been actively updated, and drug discovery, and delivery in nanoimmunotherapies are advancing in the field of target therapy research. It is important that biomarkers and diagnostic implements be developed and used to assess the prognosis or late effects of long-term survivors. An improved realization of cancer biology has transformed its management with an increasing emphasis on a personalized approach in precision medicine. In the first part, we discuss the biomarker categories in relation to the courses of a disease and specific clinical contexts, including that patients and specimens should both directly reflect the target population and intended use. In the second part, we present the CT perfusion approach that provides quantitative and qualitative data that has been successfully applied to the clinical diagnosis, treatment and application. Furthermore, the novel and promising multiparametric MR imageing approach will provide deeper insights regarding the tumor microenvironment in the immune response. Additionally, we briefly remark new tactics based on MRI and PET for converging on imaging biomarkers combined with applications of bioinformatics in artificial intelligence. In the third part, we briefly address new approaches based on theranostics in precision medicine. These sophisticated techniques merge achievable standardizations into an applicatory apparatus for primarily a diagnostic implementation and tracking radioactive drugs to identify and to deliver therapies in an individualized medicine paradigm. In this article, we describe the critical principles for imaging biomarker characterization and discuss the current status of CT, MRI and PET in finiding imaging biomarkers of early disease.
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页数:23
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共 214 条
[1]   Brain Tumor Imaging: Applications of Artificial Intelligence [J].
Afridi, Muhammad ;
Jain, Abhi ;
Aboian, Mariam ;
Payabvash, Seyedmehdi .
SEMINARS IN ULTRASOUND CT AND MRI, 2022, 43 (02) :153-169
[2]  
Ahammad AJS, 2021, CHEM ENG J, P1
[3]   Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging [J].
Albers, G. W. ;
Marks, M. P. ;
Kemp, S. ;
Christensen, S. ;
Tsai, J. P. ;
Ortega-Gutierrez, S. ;
McTaggart, R. A. ;
Torbey, M. T. ;
Kim-Tenser, M. ;
Leslie-Mazwi, T. ;
Sarraj, A. ;
Kasner, S. E. ;
Ansari, S. A. ;
Yeatts, S. D. ;
Hamilton, S. ;
Mlynash, M. ;
Heit, J. J. ;
Zaharchuk, G. ;
Kim, S. ;
Carrozzella, J. ;
Palesch, Y. Y. ;
Demchuk, A. M. ;
Bammer, R. ;
Lavori, P. W. ;
Broderick, J. P. ;
Lansberg, M. G. .
NEW ENGLAND JOURNAL OF MEDICINE, 2018, 378 (08) :708-718
[4]  
[Anonymous], BEV TEM TREAT OLD PA
[5]   Progress in Natural Compounds/siRNA Co-delivery Employing Nanovehicles for Cancer Therapy [J].
Ashrafizadeh, Milad ;
Zarrabi, Ali ;
Hushmandi, Kiavash ;
Hashemi, Farid ;
Moghadam, Ebrahim Rahmani ;
Raei, Mehdi ;
Kalantari, Mahshad ;
Tavakol, Shima ;
Mohammadinejad, Reza ;
Najafi, Masoud ;
Tay, Franklin R. ;
Makvandi, Pooyan .
ACS COMBINATORIAL SCIENCE, 2020, 22 (12) :669-700
[6]   Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework [J].
Atkinson, AJ ;
Colburn, WA ;
DeGruttola, VG ;
DeMets, DL ;
Downing, GJ ;
Hoth, DF ;
Oates, JA ;
Peck, CC ;
Schooley, RT ;
Spilker, BA ;
Woodcock, J ;
Zeger, SL .
CLINICAL PHARMACOLOGY & THERAPEUTICS, 2001, 69 (03) :89-95
[7]   Prognostic value of CT perfusion and permeability imaging in traumatic brain injury [J].
Avsenik, Jernej ;
Bajrovic, Fajko F. ;
Gradisek, Primoz ;
Kejzar, Natasa ;
Surlan Popovic, Katarina .
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY, 2021, 90 (03) :484-491
[8]   Objective response rate assessment in oncology: Current situation and future expectations [J].
Aykan, Nuri Faruk ;
Ozatli, Tahsin .
WORLD JOURNAL OF CLINICAL ONCOLOGY, 2020, 11 (02) :53-73
[9]   fBlood-derived lncRNAs as biomarkers for cancer diagnosis: the Good, the Bad and the Beauty [J].
Badowski, Cedric ;
He, Bing ;
Garmire, Lana X. .
NPJ PRECISION ONCOLOGY, 2022, 6 (01)
[10]   Biomarker: Predictive or Prognostic? [J].
Ballman, Karla V. .
JOURNAL OF CLINICAL ONCOLOGY, 2015, 33 (33) :3968-+