| Title |
Role of β-catenin in cisplatin resistance, relapse and prognosis of head and neck squamous cell carcinoma
|
|---|---|
| Published in |
Cellular Oncology, December 2017
|
| DOI | 10.1007/s13402-017-0365-1 |
| Pubmed ID | |
| Authors |
Souvick Roy, Madhabananda Kar, Shomereeta Roy, Arka Saha, Swatishree Padhi, Birendranath Banerjee |
| Abstract |
Head and neck squamous cell carcinoma (HNSCC) is one of the most common types of cancer in India with high incidence and rapid recurrence rates. Here, we aimed to investigate the role of β-catenin, a developmental pathway gene, in HNSCC therapy resistance, DNA damage response, recurrence and prognosis. In total 80 HNSCC samples were included. Western blot, immunohistochemistry and qRT-PCR analyses were performed to assess β-catenin expression in the cut margin and tumor areas of each sample. Kaplan-Meier analyses were performed to correlate β-catenin expression with the survival and prognosis of HNSCC patients. In addition, chemo-resistance, DNA damage response and DNA repair capacities were evaluated in HNSCC-derived cell lines through LiCl-mediated up-regulation and siRNA-mediated silencing of β-catenin expression. We observed β-catenin up-regulation in cut margin areas of recurrent patients compared to their corresponding tumor regions, which subsequently could be associated with poor prognosis. In addition, we found that LiCl-mediated up-regulation of β-catenin in HNSCC-derived cells led to cisplatin resistance, evasion of apoptosis, enhanced DNA repair and enhanced migration. The effects of β-catenin silencing correlated with its putative role in chemo-resistance and DNA damage response. From our results we conclude that β-catenin may contribute to HNSCC therapy resistance and disease relapse. As such, β-catenin may be explored as a therapeutic target along with conventional therapeutics. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 20% |
| Researcher | 5 | 17% |
| Student > Bachelor | 4 | 13% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Medicine and Dentistry | 5 | 17% |
| Agricultural and Biological Sciences | 5 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 September 2018.
All research outputs
#21,498,958
of 23,999,200 outputs
Outputs from Cellular Oncology
#316
of 426 outputs
Outputs of similar age
#382,598
of 446,179 outputs
Outputs of similar age from Cellular Oncology
#3
of 7 outputs
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