The Roles of miRNAs in Predicting Bladder Cancer Recurrence and Resistance to Treatment

被引:7
|
作者
Das, Sanjna [1 ]
Hayden, Joshua [2 ]
Sullivan, Travis [1 ]
Rieger-Christ, Kimberly [1 ]
机构
[1] Lahey Hosp & Med Ctr, Dept Translat Res, Burlington, MA 01805 USA
[2] Lahey Hosp & Med Ctr, Dept Urol, Burlington, MA 01805 USA
关键词
bladder cancer (BCa); recurrence; chemoresistance; miRNA; EMT; cell cycle; fatty acid metabolism; Wnt; HIPPO; FGFR3; EPITHELIAL-MESENCHYMAL TRANSITION; MICRORNA EXPRESSION SIGNATURES; MULTI-CHEMORESISTANCE; DOWN-REGULATION; CISPLATIN-RESISTANCE; CELL-PROLIFERATION; SIGNALING PATHWAY; NONINVASIVE BIOMARKERS; WNT/BETA-CATENIN; FGFR3; EXPRESSION;
D O I
10.3390/ijms24020964
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Bladder cancer (BCa) is associated with significant morbidity, with development linked to environmental, lifestyle, and genetic causes. Recurrence presents a significant issue and is managed in the clinical setting with intravesical chemotherapy or immunotherapy. In order to address challenges such as a limited supply of BCG and identifying cases likely to recur, it would be advantageous to use molecular biomarkers to determine likelihood of recurrence and treatment response. Here, we review microRNAs (miRNAs) that have shown promise as predictors of BCa recurrence. MiRNAs are also discussed in the context of predicting resistance or susceptibility to BCa treatment.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Roles for miRNAs in endocrine resistance in breast cancer
    Muluhngwi, Penn
    Klinge, Carolyn M.
    ENDOCRINE-RELATED CANCER, 2015, 22 (05) : R279 - R300
  • [2] Genetic Variants in miRNAs Predict Bladder Cancer Risk and Recurrence
    Wang, Meilin
    Chu, Haiyan
    Li, Pu
    Yuan, Lin
    Fu, Guangbo
    Ma, Lan
    Shi, Danni
    Zhong, Dongyan
    Tong, Na
    Qin, Chao
    Yin, Changjun
    Zhang, Zhengdong
    CANCER RESEARCH, 2012, 72 (23) : 6173 - 6182
  • [3] The roles of chemokines in diagnosis and predicting the recurrence of ovarian cancer
    Yodsurang, Varalee
    Pitinanon, Krittin
    Sakares, Watchara
    Wongkhattiya, Wannaporn
    Vichayachaipat, Ponlawat
    Chaiwut, Chompunoot
    Nutthachote, Pattiya
    CANCER SCIENCE, 2023, 114 : 599 - 599
  • [4] Artificial neural network in predicting bladder cancer recurrence
    Edyta Borkowska
    Maria Constantinou
    Adam Jędrzejczyk
    Magdalena Traczyk
    Monika Banaszkiewicz
    Michał Pietrusiński
    Piotr Marks
    Marek Rożniecki
    Andrzej Kruk
    Bogdan Kałużewski
    Hereditary Cancer in Clinical Practice, 10 (Suppl 1)
  • [5] Emerging roles of exosomal miRNAs in breast cancer drug resistance
    Najminejad, Hamid
    Kalantar, Seyed Mehdi
    Abdollahpour-Alitappeh, Meghdad
    Karimi, Mohammad Hossein
    Seifalian, Alexander M.
    Gholipourmalekabadi, Mazaher
    Sheikhha, Mohammad Hasan
    IUBMB LIFE, 2019, 71 (11) : 1672 - 1684
  • [6] MiRNAs roles in the diagnosis, prognosis and treatment of colorectal cancer
    Sur, Daniel G.
    Colceriu, Marius
    Sur, Genel
    Aldea, Cornel
    Silaghi, Ciprian
    Samasca, Gabriel
    Lupan, Iulia
    Cainap, Calin
    Burz, Claudia
    Irimie, Alexandru
    EXPERT REVIEW OF PROTEOMICS, 2019, 16 (10) : 851 - 856
  • [7] In search of IHC markers predicting urinary bladder cancer recurrence
    Dmitrovic, B.
    Kurbel, S.
    Matic, M.
    VIRCHOWS ARCHIV, 2018, 473 : S190 - S190
  • [8] Regulation of Autophagy by MiRNAs and Their Emerging Roles in Tumorigenesis and Cancer Treatment
    Chen, Liuxi
    Zhou, Yuxia
    Sun, Qiuhua
    Zhou, Jichun
    Pan, Hongming
    Sui, Xinbing
    MIRNAS IN AGING AND CANCER, 2017, 334 : 1 - 26
  • [9] Urinary miRNAs in bladder cancer
    Chattopadhaya, Amrit
    Kural, Sukhad
    Verma, Ashish
    Gupta, Priyamvada
    Tiwari, Harshita
    Singh, Swati
    Thakur, Anuja
    Kumar, Rajiv
    Sankhwar, Satya Narayan
    Singh, Santosh Kumar
    Agarwal, Sakshi
    Mehrotra, Sanjana
    Gautam, Vibhav
    Kumar, Lalit
    CLINICA CHIMICA ACTA, 2025, 567
  • [10] Diagnosic System for Predicting Bladder Cancer Recurrence using Association Rules
    Borgi, Amel
    Ounallah, Safa
    Stambouli, Nejla
    Selami, Sataa
    Elgaaied, Amel Ben Ammar
    2015 SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS), 2015, : 93 - 99