| Chapter title |
Alcohol and HCV: Implications for Liver Cancer.
|
|---|---|
| Chapter number | 12 |
| Book title |
Biological Basis of Alcohol-Induced Cancer
|
| Published in |
Advances in experimental medicine and biology, January 2015
|
| DOI | 10.1007/978-3-319-09614-8_12 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-909613-1, 978-3-31-909614-8
|
| Authors |
Gyongyi Szabo, Banishree Saha, Terence N Bukong, Terence N. Bukong, Szabo, Gyongyi, Saha, Banishree, Bukong, Terence N. |
| Abstract |
Liver cancers are one of the deadliest known malignancies which are increasingly becoming a major public health problem in both developed and developing countries. Overwhelming evidence suggests a strong role of infection with hepatitis B and C virus (HBV and HCV), alcohol abuse, as well as metabolic diseases such as obesity and diabetes either individually or synergistically to cause or exacerbate the development of liver cancers. Although numerous etiologic mechanisms for liver cancer development have been advanced and well characterized, the lack of definite curative treatments means that gaps in knowledge still exist in identifying key molecular mechanisms and pathways in the pathophysiology of liver cancers. Given the limited success with current therapies and preventive strategies against liver cancer, there is an urgent need to identify new therapeutic options for patients. Targeting HCV and or alcohol-induced signal transduction, or virus-host protein interactions may offer novel therapies for liver cancer. This review summarizes current knowledge on the mechanistic development of liver cancer associated with HCV infection and alcohol abuse as well as highlights potential novel therapeutic strategies. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 17% |
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 30% |
| Agricultural and Biological Sciences | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Environmental Science | 1 | 4% |
| Sports and Recreations | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |