| Title |
Potential biomarkers for esophageal cancer
|
|---|---|
| Published in |
SpringerPlus, April 2016
|
| DOI | 10.1186/s40064-016-2119-3 |
| Pubmed ID | |
| Authors |
Cheng Tan, Xia Qian, Zhifeng Guan, Baixia Yang, Yangyang Ge, Feng Wang, Jing Cai |
| Abstract |
Esophageal cancer, which consist of esophageal adenocarcinoma and esophageal squamous cell carcinoma, is one of the most common malignant tumors in the world, especially in the south of Iran and China. To find and investigate the biomarkers in the initiation, development and progression of esophageal cancer will help us predict the prognosis of esophageal cancer patients and improve the curative effect and survival rate. Here, we reviewed the potential biomarkers of esophageal cancer in three aspects: Immunohistochemical markers, blood-based markers, miRNA markers and Gene expression profiling. All these biomarkers provided promising therapeutic targets for the diagnosis, treatment, and prognosis of esophageal cancer. |
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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 1% |
| Unknown | 92 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 16% |
| Student > Bachelor | 12 | 13% |
| Researcher | 9 | 10% |
| Other | 8 | 9% |
| Student > Master | 7 | 8% |
| Other | 11 | 12% |
| Unknown | 31 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 29% |
| Biochemistry, Genetics and Molecular Biology | 16 | 17% |
| Agricultural and Biological Sciences | 5 | 5% |
| Chemistry | 3 | 3% |
| Computer Science | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 38 | 41% |
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 28 April 2016.
All research outputs
#20,322,106
of 22,865,319 outputs
Outputs from SpringerPlus
#1,460
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Outputs of similar age
#228,839
of 269,988 outputs
Outputs of similar age from SpringerPlus
#130
of 156 outputs
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