scholarly journals Math, magnets, and medicine: enabling personalized oncology

Author(s):  
David A. Hormuth ◽  
Angela M. Jarrett ◽  
Guillermo Lorenzo ◽  
Ernesto A. B. F. Lima ◽  
Chengyue Wu ◽  
...  
2021 ◽  
Vol 11 (6) ◽  
pp. 513
Author(s):  
Zheng Zhang ◽  
Meng Gu ◽  
Zhongze Gu ◽  
Yan-Ru Lou

Genetic polymorphisms are defined as the presence of two or more different alleles in the same locus, with a frequency higher than 1% in the population. Since the discovery of long non-coding RNAs (lncRNAs), which refer to a non-coding RNA with a length of more than 200 nucleotides, their biological roles have been increasingly revealed in recent years. They regulate many cellular processes, from pluripotency to cancer. Interestingly, abnormal expression or dysfunction of lncRNAs is closely related to the occurrence of human diseases, including cancer and degenerative neurological diseases. Particularly, their polymorphisms have been found to be associated with altered drug response and/or drug toxicity in cancer treatment. However, molecular mechanisms are not yet fully elucidated, which are expected to be discovered by detailed studies of RNA–protein, RNA–DNA, and RNA–lipid interactions. In conclusion, lncRNAs polymorphisms may become biomarkers for predicting the response to chemotherapy in cancer patients. Here we review and discuss how gene polymorphisms of lncRNAs affect cancer chemotherapeutic response. This knowledge may pave the way to personalized oncology treatments.


2012 ◽  
Vol 8 (6) ◽  
pp. 637-641 ◽  
Author(s):  
William Cho ◽  
Demosthenes E Ziogas ◽  
Christos Katsios ◽  
Dimitrios H Roukos

2019 ◽  
Vol 22 ◽  
pp. S494
Author(s):  
G. Oguzhan Ergın ◽  
G. Kockaya ◽  
S. Okcun ◽  
M. Kurnaz ◽  
C. Sar Gedik ◽  
...  

Author(s):  
Tomasz Kowalczyk ◽  
Michal Ciborowski ◽  
Joanna Kisluk ◽  
Adam Kretowski ◽  
Coral Barbas

2019 ◽  
Vol 1 (Supplement_2) ◽  
pp. ii4-ii4
Author(s):  
Hiroyuki Aburatani

Abstract Over the last two decades, genomic technology such as microarray and next generation sequencing (NGS) enabled comprehensive analysis of cancer genome. International cancer genome consortium, established in 2007, completed the analysis of 25,000 cases and has brought discovery of novel cancer driver genes and improved our understanding cancer biology. For example, discovery of IDH1/2 mutation in various cancers created a new concept, 2-hydroxyglutarate as Oncometabolite. The mutational signature patterns allow us to predict how the individual cancer was developed. Anti-cancer drugs, such as alkylating agents, occasionally modify the bases and introduce mutations through mispairing in replication. Currently we are aware that cancer is a genetic disease, where accumulation of genetic and epigenetic alterations in the genome leads to cellular transformation, and that mutation in each patient is unique. To realize the personalized oncology, clinical sequencing test was developed. This year a couple of NGS-based cancer panel tests have been approved for reimbursement by nation-wide healthcare system in Japan. In this seminar I will discuss the future improvement in genomic oncology.


2019 ◽  
Vol 9 (3) ◽  
pp. 44 ◽  
Author(s):  
Andrea Cruz ◽  
Weng Kung Peng

Cancer is a leading cause of death worldwide and therefore one of the most important public health concerns. In this contribution, we discuss recent key enabling technological innovations (and their challenges), including biomarker-based technologies, that potentially allow for decentralization (e.g., self-monitoring) with the increasing availability of point-of-care technologies in the near future. These technological innovations are moving the field one step closer toward personalized oncology.


BMJ Open ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. e036357 ◽  
Author(s):  
Audrey Tran ◽  
Quiana Klossner ◽  
Tyler Crain ◽  
Vinay Prasad

ImportanceThe terms “personalized oncology” and “precision oncology” have increased in usage and have generated considerable traction in terms of public attention and research funding. To our knowledge, no prior study has as thoroughly documented the use of the “precision oncology” terminology over the last decade.ObjectiveTo determine how the use of the terms “personalized oncology” and “precision oncology” have changed over time.DesignA retrospective literature analysis using two databases (PubMed and Scopus) over 10 years was performed. Manuscripts using either term “personalized oncology” or “precision oncology” were collected. Manuscripts published in 2011, 2013, 2015, 2017 and through 30 June 2019 were pulled for text analysis. Common reasons for exclusion were if the search term appeared in the institution name only, the search term appeared only in keyword or publication title, or the search term was used to justify the relevance or application of research with no clear definition.SettingManuscripts published and catalogued in PubMed or Scopus.ResultsIn our study, we analysed 399 unique manuscripts published over the last decade. Over time, the terminology has shifted from “personalized oncology” to “precision oncology”. Targeted therapy, molecular biomarker-guided tumour profiling and next generation sequencing (ie, “omics-guided tumor profiling”) are the three most common definitions of the term. While these definitions are somewhat overlapping in concept, over the decade we observed an increase in the number of distinct interpretations of “precision oncology”, ranging from structural biology to clinical practice.Conclusions and relevanceWe have observed that the phrase “precision oncology” is shifting, overlapping and expanding in definition. This all-encompassing approach to defining “precision oncology” ironically renders the term imprecise. Our analysis highlights the inherent challenges in defining novel movements in medicine.


2020 ◽  
Vol 12 (2) ◽  
pp. 105-110
Author(s):  
Valentina Lancellotta ◽  
Jose Luis Guinot ◽  
Bruno Fionda ◽  
Agata Rembielak ◽  
Alessandro Di Stefani ◽  
...  

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