| Title |
O6-methylguanine-DNA methyltransferase (MGMT) immunohistochemistry as a predictor of resistance to temozolomide in primary CNS lymphoma
|
|---|---|
| Published in |
Journal of Neuro-Oncology, May 2013
|
| DOI | 10.1007/s11060-013-1162-y |
| Pubmed ID | |
| Authors |
Xiaoyin Jiang, David A. Reardon, Annick Desjardins, James J. Vredenburgh, Jennifer A. Quinn, Alan D. Austin, James E. Herndon, Roger E. McLendon, Henry S. Friedman |
| Abstract |
Temozolomide, an alkylating agent, has shown promise in treating primary central nervous system lymphoma (PCNSL). The enzyme O(6)-methylguanine-DNA methyltransferase (MGMT) repairs alkylating damage, such as that induced by temozolomide. We hypothesized that MGMT immunohistochemistry would predict resistance to temozolomide in PCNSL. A retrospective study of newly-diagnosed and recurrent PCNSL patients treated at our institution was conducted to study the predictive value of MGMT immunohistochemistry for response to temozolomide. 20 patients who were treated with temozolomide as a single agent were identified during the study time period. 6/20 patients demonstrated a response, corresponding to an objective response rate of 30 % (95 % CI 8-52). Five patients with low MGMT level (<30 %) showed a response to temozolomide. Only one of 10 patients (10 %) with high MGMT level (≥30 %) exhibited a response to temozolomide. Small sample numbers precluded formal statistical comparisons. Two patients with complete response remain alive without progressive disease 6.7 and 7.2 years after temozolomide initiation. Immunohistochemistry can be performed on small biopsies to selectively assess MGMT status in tumor versus surrounding inflammation. MGMT analysis by immunohistochemistry may predict response to temozolomide in PCNSL and should be prospectively investigated. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 19% |
| Student > Postgraduate | 3 | 14% |
| Lecturer | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Other | 2 | 10% |
| Other | 4 | 19% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 43% |
| Neuroscience | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Psychology | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 19% |
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 18 May 2013.
All research outputs
#20,193,180
of 22,710,079 outputs
Outputs from Journal of Neuro-Oncology
#2,561
of 2,959 outputs
Outputs of similar age
#171,399
of 196,556 outputs
Outputs of similar age from Journal of Neuro-Oncology
#17
of 23 outputs
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