Non-coding RNAs in cancer diagnosis and therapy

Rasool, Mahmood; Malik, Arif; Zahid, Sara; Ashraf, Muhammad; Qazi, Mahmood Husain; Asif, Muhammad; Zaheer, Ahmad; Arshad, Muhammad; Raza, Amir; Jamal, Mohammad Sarwar

doi:10.1016/j.ncrna.2016.11.001

Cited by 48 publications

(35 citation statements)

References 51 publications

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“…Os ncRNAs são elementos regulatórios abundantes em humanos, mas ainda poucos explorados como potenciais candidatos a terapias gênicas [Rasool et al 2016]. Dentre os ncRNAs, os miRNAs são os mais estudados e osúnicos que possuem uma ferramenta para análise integrada com redes e métricas de redes complexas [Nair et al 2014].…”

Section: Trabalhos Relacionadosunclassified

Modelagem de Redes Regulatórias para a Descoberta de Novos Biomarcadores de Doenças Complexas

Pompeu¹,

Magalhães²,

Ribeiro‐dos‐Santos³

et al. 2019

Anais Do Brazilian E-Science Workshop (BreSci)

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This study presents a proposal for modeling regulatory networks based on public biological data from three classes of regulatory elements (ncRNAs) such as miRNAs, circRNAs and piRNAs and their relations (regulation and origin) with genes. The integrated networks and its association with clinically relevant biological data allowed the discovery of potential candidate genes related to complex diseases. According to this network's centrality and neighborhood overlap, we identified novel potential genes and ncRNAs that could act as biomarkers of complex diseases considered major public health issues.Resumo. Este estudo apresenta uma proposta de modelagem de redes regulatórias extraindo dados biológicos públicos de três classes de elementos regulatórios (ncRNAs), tais como os miRNAs, circRNAs e piRNAs e suas relações (regulação e origem) com genes. A integração das redes de ncR-NAs e sua associação com dados biológicos de importância clínica permitiu a identificação de genes candidatos que potencialmente atuam no desenvolvimento de doenças complexas. A partir das características de centralidade e sobreposição de ligações desta rede, identificamos novos genes e ncRNAs potenciais biomarcadores de doenças complexas consideradas graves problemas de saúde pública. IntroduçãoOs RNAs não-codificantes (ncRNAs) são uma classe de RNAs estruturais e regulatórios que não são traduzidos em proteínas, e que representam cerca de 70% do genoma humano [Morris and Mattick 2014] [Costa 2010]. Apesar de vários estudos funcionais sugerirem que a desregulação da expressão dos ncRNAs está diretamente associada com o desenvolvimento de doenças complexas (tais como o câncer e a diabetes do tipo 2), a função biológica da maior parte destes ainda permanece pouco conhecida [Esteller 2011]. Em termos numéricos, os RNAs circulares (circRNAs), piwi-interacting RNAs (piRNAs) e microRNAs (miRNAs) estão entre os tipos de ncRNAs regulatórios de maior representatividade em humanos [Bahn et al. 2015]. Supõe-se que tamanha abundância

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Section: Trabalhos Relacionadosunclassified

Modelagem de Redes Regulatórias para a Descoberta de Novos Biomarcadores de Doenças Complexas

Pompeu¹,

Magalhães²,

Ribeiro‐dos‐Santos³

et al. 2019

Anais Do Brazilian E-Science Workshop (BreSci)

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“…In grade 3 breast cancer, lncRNA-BC4 expression was significantly lower and lncRNA-BC5 expression was significantly higher. lncRNAs have been demonstrated to be easily detected in bodily fluids by multiple studies, such as lncRNA RP11-445H22.4 was found to be significantly increased in breast cancer patients serum with high sensitivity and specificity [118]. Zhao et al identified a set of lncRNAs are deregulated in breast cancer patients and distinguish low-risk patients from high risk patients.…”

Section: Breast Cancermentioning

confidence: 99%

Biomarker-Based Targeted Therapeutics

Hora¹,

Pandey²,

Jha³

2018

Neoplasm

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Cancer biomarkers are emerging as important tools for disease diagnosis, prediction and prognosis. A significant number of studies have been reported in the field of biomarker discovery due to their potential as personalized targeted therapy. With the converging gap about their utilization as specific targets, studies have focused on identifying diseasespecific biomarkers in different cancer types. This chapter provides a comprehensive overview about different cancer-associated biomarkers, their prevalence in different cancer types and their use as targeted therapy. Additionally, we provide an insight on the therapeutic and diagnostic potential of different noncoding RNAs as cancer biomarkers.

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“…ncRNAs are also suggested to play an important role in several physiological conditions, including nearly all types of cancer [138,139,140]. The long non-coding RNA (lncRNA) H19 has been identified to be markedly overexpressed in pancreatic tumor tissues and cell lines, with a positive correlation with the invasive and migratory potential of the tumors [114,141,142].…”

Section: Molecular Alterations Driving Pancreatic Cancer Progressionmentioning

confidence: 99%

Molecular Drivers of Pancreatic Cancer Pathogenesis: Looking Inward to Move Forward

Khan

Azim

Zubair

et al. 2017

IJMS

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Pancreatic cancer (PC) continues to rank among the most lethal cancers. The consistent increase in incidence and mortality has made it the seventh leading cause of cancer-associated deaths globally and the third in the United States. The biggest challenge in combating PC is our insufficient understanding of the molecular mechanism(s) underlying its complex biology. Studies during the last several years have helped identify several putative factors and events, both genetic and epigenetic, as well as some deregulated signaling pathways, with implications in PC onset and progression. In this review article, we make an effort to summarize our current understanding of molecular and cellular events involved in the pathogenesis of pancreatic malignancy. Specifically, we provide up-to-date information on the genetic and epigenetic changes that occur during the initiation and progression of PC and their functional involvement in the pathogenic processes. We also discuss the impact of the tumor microenvironment on the molecular landscape of PC and its role in aggressive disease progression. It is envisioned that a better understanding of these molecular factors and the mechanisms of their actions can help unravel novel diagnostic and prognostic biomarkers and can also be exploited for future targeted therapies.

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Non-coding RNAs in cancer diagnosis and therapy

Cited by 48 publications

References 51 publications

Modelagem de Redes Regulatórias para a Descoberta de Novos Biomarcadores de Doenças Complexas

Modelagem de Redes Regulatórias para a Descoberta de Novos Biomarcadores de Doenças Complexas

Biomarker-Based Targeted Therapeutics

Molecular Drivers of Pancreatic Cancer Pathogenesis: Looking Inward to Move Forward

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