| Title |
Expression of LC3B and FIP200/Atg17 in brain metastases of breast cancer
|
|---|---|
| Published in |
Journal of Neuro-Oncology, August 2018
|
| DOI | 10.1007/s11060-018-2959-5 |
| Pubmed ID | |
| Authors |
Nooshin Hashemi-Sadraei, Gaëlle M. Müller-Greven, Fadi W. Abdul-Karim, Ilya Ulasov, Erinn Downs-Kelly, Monica E. Burgett, Adam Lauko, Maha A. Qadan, Robert J. Weil, Manmeet S. Ahluwalia, Lingling Du, Richard A. Prayson, Samuel T. Chao, Thomas G. Budd, Jill Barnholtz-Sloan, Amy S. Nowacki, Ruth A. Keri, Candece L. Gladson |
| Abstract |
Macroautophagy/autophagy is considered to play key roles in tumor cell evasion of therapy and establishment of metastases in breast cancer. High expression of LC3, a residual autophagy marker, in primary breast tumors has been associated with metastatic disease and poor outcome. FIP200/Atg17, a multi-functional pro-survival molecule required for autophagy, has been implicated in brain metastases in experimental models. However, expression of these proteins has not been examined in brain metastases from patients with breast cancer. In this retrospective study, specimens from 44 patients with brain metastases of infiltrating ductal carcinoma of the breast (IDC), unpaired samples from 52 patients with primary IDC (primary-BC) and 16 matched-paired samples were analyzed for LC3 puncta, expression of FIP200/Atg17, and p62 staining. LC3-puncta+ tumor cells and FIP200/Atg17 expression were detected in greater than 90% of brain metastases but there were considerable intra- and inter-tumor differences in expression levels. High numbers of LC3-puncta+ tumor cells in brain metastases correlated with a significantly shorter survival time in triple-negative breast cancer. FIP200/Atg17 protein levels were significantly higher in metastases that subsequently recurred following therapy. The percentages of LC3 puncta+ tumor cells and FIP200/Atg17 protein expression levels, but not mRNA levels, were significantly higher in metastases than primary-BC. Meta-analysis of gene expression datasets revealed a significant correlation between higher FIP200(RB1CC1)/Atg17 mRNA levels in primary-BC tumors and shorter disease-free survival. These results support assessments of precision medicine-guided targeting of autophagy in treatment of brain metastases in breast cancer patients. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 23% |
| Student > Master | 3 | 12% |
| Other | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 19% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Nursing and Health Professions | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Immunology and Microbiology | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 11 | 42% |
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 11 August 2018.
All research outputs
#15,542,971
of 23,099,576 outputs
Outputs from Journal of Neuro-Oncology
#1,976
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Outputs of similar age
#210,180
of 331,387 outputs
Outputs of similar age from Journal of Neuro-Oncology
#38
of 67 outputs
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