&lt;p&gt;Overexpression of lncRNA TATDN1 Promotes Cancer Cell Proliferation in Triple Negative Breast Cancer by Regulating miR-26b Methylation&lt;/p&gt;

Long, Quanyi; Li, Hongjiang; Yuan, Fan; Zhang, Jia

doi:10.2147/cmar.s258191

Cited by 7 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Métodos mais recentes, como perfil de expressão gênica usando microarrays de DNA complementar, apresentam importância terapêutica para a classificação molecular (LONG et al, 2020). No entanto, apenas um trabalho utilizou esta metodologia para investigar a distribuição dos subtipos moleculares para o câncer de mama (CAREY et al, 2007).…”

Section: Resultados E Discussõesunclassified

A Importância Da Classificação Molecular No Prognóstico Do Câncer De Mama: Perspectivas Atuais

Rosa¹,

Teodoro²,

Marques³

et al. 2021

REFACER

View full text Add to dashboard Cite

INTRODUÇÃO: O conhecimento sobre a classificação molecular do câncer de mama tem se tornado cada vez mais importante para definição de protocolos de tratamento, principalmente terapias alvo direcionadas. OBJETIVO: Descrever por meio da literatura a prevalência dos subtipos moleculares do câncer de mama, e sua relação com o prognóstico de indivíduos diagnosticados com esses tumores. METODOLOGIA: Trata-se de uma revisão integrativada literatura que incluiu artigos que investigaram os principais subtipos moleculares do câncer de mama (Luminal A, Luminal B, HER2/neu e Basa-like), e excluiu as publicações que investigaram apenas a expressão de marcadores moleculares como por exemplo p53 e HER2, ou que fizeram apenas a classificação histopatológica, sem considerar a classificação molecular para câncer de mama. RESULTADOS E DISCUSSÕES: Um total de 29,850casos de câncer de mama em mulheres, obteve o resultado do subtipo da classificação molecular, o mais prevalente foi o luminal A (51,3%%), seguido do luminal B (18%), HER2 (7,9%), basa-like (7,1%), a prevalência do triplo-negativo também foi investigada com (5,5%). O luminal A oferece o melhor prognóstico de todos os subtipos, os tumores luminais B são menos favoráveis do que os tumores luminais A, mas ainda menos agressivos do que os tumores do tipo basal. CONCLUSÃO: O luminal A continua sendo o subtipo molecular mais prevalente para o câncer de mama. O conhecimento sobre as classes moleculares do câncer de mama aumentou nos últimos anos, porém ainda existem dúvidas e dilemas que permanecem sem resposta e que são importantes para estudos futuros.Palavras-chaves: Câncer de mama. Diagnósticos moleculares. Prognóstico.

show abstract

Section: Resultados E Discussõesunclassified

A Importância Da Classificação Molecular No Prognóstico Do Câncer De Mama: Perspectivas Atuais

Rosa¹,

Teodoro²,

Marques³

et al. 2021

REFACER

View full text Add to dashboard Cite

show abstract

“…[68] Chromosome 8 acquired both duplications and deletions in the tumorigenic cells, suggesting that the region was impaired by the tumorigenic process. This region includes the gene OXR1 that encodes a protein involved in the genome stability and cellular survival, [73] and genes ARC, [74] EIF3E, [75] GSDMC, [76] PTP4A3, [77] and TATDN1 [78] that are highly expressed in breast cancer cells. Interestingly, endogenous ARC in a mouse model of breast cancer has been shown to promote invasion and metastasis.…”

Section: Discussionmentioning

confidence: 99%

Changes of Mutations and Copy‐Number and Enhanced Cell Migration during Breast Tumorigenesis

Lee

Kim

et al. 2022

Advanced Biology

View full text Add to dashboard Cite

CSCs contribute to tumor heterogeneity and metastatic dissemination. [1] Breast CSCs have been demonstrated to mediate cancer cell invasiveness and metastasis. [1,3] A subpopulation of breast CSCs characterized with CD44 + /CD24 −/low are more resistant to therapy and are more invasive than breast non-CSCs. [4][5][6] Contact guidance of extracellular matrix (ECM) anisotropy that recapitulates a tumor microenvironment is an important factor in modeling tumor progression and metastasis. [7][8][9] Over the past several years, advances in the fabrication of ECM-mimetic nanoscale topography have facilitated the study of how cells sense contact guidance cues and of cell-matrix interactions. [8,[10][11][12][13]

show abstract

Underexplored reciprocity between genome-wide methylation status and long non-coding RNA expression reflected in breast cancer research: potential impacts for the disease management in the framework of 3P medicine

et al. 2023

View full text Add to dashboard Cite

Breast cancer (BC) is the most common female malignancy reaching a pandemic scale worldwide. A comprehensive interplay between genetic alterations and shifted epigenetic regions synergistically leads to disease development and progression into metastatic BC. DNA and histones methylations, as the most studied epigenetic modifications, represent frequent and early events in the process of carcinogenesis. To this end, long non-coding RNAs (lncRNAs) are recognized as potent epigenetic modulators in pathomechanisms of BC by contributing to the regulation of DNA, RNA, and histones’ methylation. In turn, the methylation status of DNA, RNA, and histones can affect the level of lncRNAs expression demonstrating the reciprocity of mechanisms involved. Furthermore, lncRNAs might undergo methylation in response to actual medical conditions such as tumor development and treated malignancies. The reciprocity between genome-wide methylation status and long non-coding RNA expression levels in BC remains largely unexplored. Since the bio/medical research in the area is, per evidence, strongly fragmented, the relevance of this reciprocity for BC development and progression has not yet been systematically analyzed. Contextually, the article aims at: consolidating the accumulated knowledge on both—the genome-wide methylation status and corresponding lncRNA expression patterns in BC and highlighting the potential benefits of this consolidated multi-professional approach for advanced BC management. Based on a big data analysis and machine learning for individualized data interpretation, the proposed approach demonstrates a great potential to promote predictive diagnostics and targeted prevention in the cost-effective primary healthcare (sub-optimal health conditions and protection against the health-to-disease transition) as well as advanced treatment algorithms tailored to the individualized patient profiles in secondary BC care (effective protection against metastatic disease). Clinically relevant examples are provided, including mitochondrial health control and epigenetic regulatory mechanisms involved.

show abstract

<p>Overexpression of lncRNA TATDN1 Promotes Cancer Cell Proliferation in Triple Negative Breast Cancer by Regulating miR-26b Methylation</p>

Cited by 7 publications

References 16 publications

A Importância Da Classificação Molecular No Prognóstico Do Câncer De Mama: Perspectivas Atuais

A Importância Da Classificação Molecular No Prognóstico Do Câncer De Mama: Perspectivas Atuais

Changes of Mutations and Copy‐Number and Enhanced Cell Migration during Breast Tumorigenesis

Underexplored reciprocity between genome-wide methylation status and long non-coding RNA expression reflected in breast cancer research: potential impacts for the disease management in the framework of 3P medicine

Contact Info

Product

Resources

About