| Literature DB >> 23012520 |
Wei Gao1, John Zenghong Li, Wai Kuen Ho, Jimmy Yuwai Chan, Thian Sze Wong.
Abstract
Nasopharyngeal carcinoma (NPC) is a common head and neck cancer. The incidence rate is higher in southern China and Southeast Asia in comparison with the Western countries. Radiotherapy is the standard treatment of NPC as the cancer cells are sensitive to ionizing radiation. Radiation treatment has good local control to patients with early NPC. It is essential to monitor the response of the NPC cells to radiation treatment in advance in order to select suitable treatment choice for the patients. This review aims to discuss the potential use of biomarkers in monitoring the responsiveness of NPC cells to radiation treatment.Entities:
Keywords: biomarkers; ionizing radiation; nasopharyngeal carcinoma; radiotherapy
Mesh:
Substances:
Year: 2012 PMID: 23012520 PMCID: PMC3444078 DOI: 10.3390/s120708832
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 1.H2AX phosphorylation in undifferentiated nasopharyngeal carcinoma cell HONE1. (A) a dividing cell with intact nuclei without exposing to ionizing radiation; (B) HONE1 cell after exposing to 8 Gy ionizing radiation. The cells were fixed 24 hours after radiation, blocked and incubated with rabbit polyclonal anti-gamma H2AX (phospho S139) antibody (abcam). FITC Goat Anti-Rabbit IgG Conjugage (Invitrogen) was used to visualize phosphorylated H2AX in green. The nucleus was stained by blue-fluorescent DAPI (Invitrogen); F-actin was labeled in red with Alexa Fluor® 635 phalloidin (Invitrogen).
Biomarkers for monitoring responses of NPC to radiation.
| 1. | Predict remission, recurrence or metastases | 1. | Data from relative small sample size (36 patients) | [ | |
| 2. | Minimally invasive using serum | 2. | Not useful for type I and II NPC | ||
| 3. | Convenient | ||||
| 4. | Low-cost | ||||
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| 1. | Predict relapse | 1. | limited sensitivity and specificity | [ | |
| 2. | Data from relative large sample size (373 patients) | 2. | Not useful for type I and II NPC | ||
| 3. | Minimally invasive using serum | ||||
| 4. | Convenient | ||||
| 5. | Low-cost | ||||
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| 1. | Predict survival rate and metastases | 3. | Not useful for type I and II NPC | [ | |
| 2. | High sensitivity | ||||
| 3. | Data from relative large sample size (88 patients) | ||||
| 4. | Minimally invasive using serum | ||||
| 5. | Convenient | ||||
| 6. | Low-cost | ||||
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| 1. | Predict remission and recurrence | 4. | Not useful for type I and II NPC | [ | |
| 2. | High specificity and sensitivity | ||||
| 3. | Data from relative large sample size (65 patients) | ||||
| 4. | Minimally invasive using serum | ||||
| 5. | Convenient | ||||
| 6. | Low-cost | ||||
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| 1. | Predict remission | 5. | Data from relative small sample size (19 patients) | [ | |
| 2. | Minimally invasive using serum | ||||
| 3. | Convenient | ||||
| 6. | Low-cost | ||||
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| 1. | Predict remission | 1. | Data from relative small sample size (19 patients) | [ | |
| 2. | Minimally invasive using serum | 2. | Lack of data on specificity and sensitivity | ||
| 3. | Low-cost | ||||
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| 1. | Predict radioresistance | 1. | Lack of data on specificity and sensitivity | [ | |
| 2. | Low-cost | 2. | Invasive tumor tissue is needed | ||
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| 1. | Predict radioresistance | 1. | Data from relative small sample size (17 patients) | [ | |
| 2. | Low-cost | 2. | Lack of data on specificity and sensitivity | ||
| 3. | Invasive tumor tissue is needed | ||||
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| 1. | Predict radioresistance | 1. | Combination of four proteins leads to heavy work | [ | |
| 2. | Data from relative large sample size (90 patients) | 2. | Invasive tumor tissue is needed | ||
| 3. | High specificity and sensitivity | ||||
| 4. | Low-cost | ||||
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| 1. | Predict recurrence | 1. | limited specificity | [ | |
| 2. | Data from relative large sample size (55 patients) | 2. | Invasive tumor tissue is needed | ||
| 3. | Low-cost | ||||
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| 1. | Predict remission and recurrence | 1. | Lack of data on specificity and sensitivity | [ | |
| 2. | Data from relative large sample size (58 patients) | 2. | Invasive tumor tissue is needed | ||
| 3. | Low-cost | ||||
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| 1. | Predict radioresistance | 1. | Limited sensitivity | [ | |
| 2. | Data from relative large sample size (69 patients) | 3. | Invasive tumor tissue is needed | ||
| 3. | High specificity | ||||
| 4. | Low-cost | ||||
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| 1. | Predict 5-year overall survival and disease-free survival | 2. | Expensive | [ | |
| 4. | Data from relative large sample size (62 and 75 patients) | ||||