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Differential mi-RNAs expression profiles classify mucin 1(+)/ (-) human breast cancer stem cells
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Cancer Science & Therapy

ISSN: 1948-5956

Open Access

Differential mi-RNAs expression profiles classify mucin 1(+)/ (-) human breast cancer stem cells


9th Indo Global Summit on Cancer Therapy

November 02-04, 2015 Hyderabad, India

Madhulika Singh, Sanjay K Mishra and Yogeshwer Shukla

CSIR-Indian Institute of Toxicology Research, India

Posters-Accepted Abstracts: J Cancer Sci Ther

Abstract :

Background: Mucin-1 (Muc1) is a secreted, oncogenic mucin that is aberrantly over expressed in breast cancer cells but its potential role in breast cancers stem cells (BCSCs) have not been explored. Micro-RNAs (mi-RNA), small non-coding RNAs that play critical roles in normal stem cell functions during development, have emerged as important regulators of BCSCs as well. Methods: Muc positive (+)/ (-) cells were isolated from patient-derived cancer (n=25), and normal BC tissues (n=15) and propagated in non-adhesive suspension cell culture to assess their phenotypic characteristics. Further mi-RNAs expression profiling was done by using micro-RNA Taq Man�® Low Density Array Cards v2.0 based on qReal-Time PCR array. Results: Significantly altered expression of mi-RNAs were found (17 up-regulated and 29 down regulated) in Muc (+) BCSCs as compared to Muc (-) (p<0.05). All these mi-RNAs were having significant role in BCSCs self renewal, proliferation potential and were also involved in cancer metastasis. Further, selected miRNAs expression levels were individually tested and validated in mammospheres generated from tissue samples. Muc (+) BCSCs were showing higher level of miRNAs -9, -16, -34a, -195-5p and -454 as compared to Muc(-) BCSCs. Significantly down regulated expression of miR-106a, -125b and -218 was also noted in Muc (+) BCSCs as compared to adhered and Muc(-) cell population. Conclusions: These mi-RNAs can potentially be used to develop a panel for classification and prognosis in order to better predict the progression of the disease and facilitate the choice of treatment strategy.

Biography :

Email: madhulika.anil@gmail.com

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