Critical Roles of N6-Methyladenosine (m6A) in Cancer and Virus Infection

Asada, Ken; Bolatkan, Amina; Takasawa, Ken; Komatsu, Masaaki; Kaneko, Syuzo; Hamamoto, Ryuji

doi:10.3390/biom10071071

Cited by 16 publications

(12 citation statements)

References 151 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is essential to integrate whole genome sequencing (WGS) data as well as other omics data, such as epigenomic, proteomic, and metabolomic data, for multimodal analysis. In particular, recent rapid advances in epigenomic analysis techniques have revealed that cancer cells accumulate a variety of epigenomic abnormalities in addition to genetic abnormalities [69][70][71][72][73][74][75][76][77][78][79][80][81][82].…”

Section: Application Of Machine Learning and Deep Learning Techniquesmentioning

confidence: 99%

Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

Hamamoto

Suvarna

Yamada³

et al. 2020

Cancers

Self Cite

137

View full text Add to dashboard Cite

In recent years, advances in artificial intelligence (AI) technology have led to the rapid clinical implementation of devices with AI technology in the medical field. More than 60 AI-equipped medical devices have already been approved by the Food and Drug Administration (FDA) in the United States, and the active introduction of AI technology is considered to be an inevitable trend in the future of medicine. In the field of oncology, clinical applications of medical devices using AI technology are already underway, mainly in radiology, and AI technology is expected to be positioned as an important core technology. In particular, “precision medicine,” a medical treatment that selects the most appropriate treatment for each patient based on a vast amount of medical data such as genome information, has become a worldwide trend; AI technology is expected to be utilized in the process of extracting truly useful information from a large amount of medical data and applying it to diagnosis and treatment. In this review, we would like to introduce the history of AI technology and the current state of medical AI, especially in the oncology field, as well as discuss the possibilities and challenges of AI technology in the medical field.

show abstract

Section: Application Of Machine Learning and Deep Learning Techniquesmentioning

confidence: 99%

Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

Hamamoto

Suvarna

Yamada³

et al. 2020

Cancers

Self Cite

137

View full text Add to dashboard Cite

show abstract

“…One occurs when RNA modifications are catalyzed by methyltransferases (known as “writer proteins”) such as METTL3, and the other occurs when RNA editing is catalyzed by editing enzymes. RNA editing by host deaminases is an innate restriction process used as a defense mechanism against viral infection [ 56 ]. RNA sequencing of SARS-CoV-2 isolated from the bronchoalveolar lavage fluid of patients with COVID-19 revealed instances of RNA editing, such as A to G and U to C substitutions, and was accompanied by evidence of adenine to inosine (A-to-I) reactions catalyzed by RNA-specific adenosine deaminase (ADAR).…”

Section: Rna Modifications Of the Sars-cov-2 Genomementioning

confidence: 99%

Epigenetic Mechanisms Underlying COVID-19 Pathogenesis

et al. 2021

Self Cite

View full text Add to dashboard Cite

In 2019, a novel severe acute respiratory syndrome called coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was reported and was declared a pandemic by the World Health Organization (WHO) in March 2020. With the advancing development of COVID-19 vaccines and their administration globally, it is expected that COVID-19 will converge in the future; however, the situation remains unpredictable because of a series of reports regarding SARS-CoV-2 variants. Currently, there are still few specific effective treatments for COVID-19, as many unanswered questions remain regarding the pathogenic mechanism of COVID-19. Continued elucidation of COVID-19 pathogenic mechanisms is a matter of global importance. In this regard, recent reports have suggested that epigenetics plays an important role; for instance, the expression of angiotensin I converting enzyme 2 (ACE2) receptor, an important factor in human infection with SARS-CoV-2, is epigenetically regulated; further, DNA methylation status is reported to be unique to patients with COVID-19. In this review, we focus on epigenetic mechanisms to provide a new molecular framework for elucidating the pathogenesis of SARS-CoV-2 infection in humans and of COVID-19, along with the possibility of new diagnostic and therapeutic strategies.

show abstract

“…In order to increase the number of patients who will benefit from the promotion of precision oncology in the future, it is necessary to add more detailed omics data, such as whole genome analysis data and epigenome data, for integrated analysis. In recent years, it has been reported that epigenomic abnormalities play an important role in the development and progression of cancer (10,(18)(19)(20)(21)(22)(23)(24)(25), and it is important to take into account information on epigenomic abnormalities when genomic mutations alone cannot elucidate the molecular mechanisms. In fact, the concept of epigenetic driver (epi-driver) is currently being used to describe the phenomenon of cancer development and progression based on epigenomic abnormalities (26,27).…”

Section: Introductionmentioning

confidence: 99%

Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology

et al. 2021

Self Cite

View full text Add to dashboard Cite

With the completion of the International Human Genome Project, we have entered what is known as the post-genome era, and efforts to apply genomic information to medicine have become more active. In particular, with the announcement of the Precision Medicine Initiative by U.S. President Barack Obama in his State of the Union address at the beginning of 2015, “precision medicine,” which aims to divide patients and potential patients into subgroups with respect to disease susceptibility, has become the focus of worldwide attention. The field of oncology is also actively adopting the precision oncology approach, which is based on molecular profiling, such as genomic information, to select the appropriate treatment. However, the current precision oncology is dominated by a method called targeted-gene panel (TGP), which uses next-generation sequencing (NGS) to analyze a limited number of specific cancer-related genes and suggest optimal treatments, but this method causes the problem that the number of patients who benefit from it is limited. In order to steadily develop precision oncology, it is necessary to integrate and analyze more detailed omics data, such as whole genome data and epigenome data. On the other hand, with the advancement of analysis technologies such as NGS, the amount of data obtained by omics analysis has become enormous, and artificial intelligence (AI) technologies, mainly machine learning (ML) technologies, are being actively used to make more efficient and accurate predictions. In this review, we will focus on whole genome sequencing (WGS) analysis and epigenome analysis, introduce the latest results of omics analysis using ML technologies for the development of precision oncology, and discuss the future prospects.

show abstract

Critical Roles of N6-Methyladenosine (m6A) in Cancer and Virus Infection

Cited by 16 publications

References 151 publications

Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

Epigenetic Mechanisms Underlying COVID-19 Pathogenesis

Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology

Contact Info

Product

Resources

About