- Diseases
- Acoustic Neuroma (14)
- Adrenal Gland Tumor (24)
- Anal Cancer (66)
- Anemia (2)
- Appendix Cancer (16)
- Bile Duct Cancer (28)
- Bladder Cancer (68)
- Brain Metastases (28)
- Brain Tumor (228)
- Breast Cancer (712)
- Breast Implant-Associated Anaplastic Large Cell Lymphoma (2)
- Cancer of Unknown Primary (4)
- Carcinoid Tumor (8)
- Cervical Cancer (154)
- Colon Cancer (164)
- Colorectal Cancer (110)
- Endocrine Tumor (4)
- Esophageal Cancer (42)
- Eye Cancer (36)
- Fallopian Tube Cancer (6)
- Germ Cell Tumor (4)
- Gestational Trophoblastic Disease (2)
- Head and Neck Cancer (6)
- Kidney Cancer (124)
- Leukemia (344)
- Liver Cancer (50)
- Lung Cancer (288)
- Lymphoma (284)
- Mesothelioma (14)
- Metastasis (30)
- Multiple Myeloma (98)
- Myelodysplastic Syndrome (60)
- Myeloproliferative Neoplasm (4)
- Neuroendocrine Tumors (16)
- Oral Cancer (98)
- Ovarian Cancer (172)
- Pancreatic Cancer (166)
- Parathyroid Disease (2)
- Penile Cancer (14)
- Pituitary Tumor (6)
- Prostate Cancer (144)
- Rectal Cancer (58)
- Renal Medullary Carcinoma (6)
- Salivary Gland Cancer (14)
- Sarcoma (234)
- Skin Cancer (294)
- Skull Base Tumors (56)
- Spinal Tumor (12)
- Stomach Cancer (60)
- Testicular Cancer (28)
- Throat Cancer (90)
- Thymoma (6)
- Thyroid Cancer (98)
- Tonsil Cancer (30)
- Uterine Cancer (78)
- Vaginal Cancer (14)
- Vulvar Cancer (18)
- Cancer Topic
- Adolescent and Young Adult Cancer Issues (20)
- Advance Care Planning (10)
- Biostatistics (2)
- Blood Donation (18)
- Bone Health (8)
- COVID-19 (362)
- Cancer Recurrence (120)
- Childhood Cancer Issues (120)
- Clinical Trials (622)
- Complementary Integrative Medicine (22)
- Cytogenetics (2)
- DNA Methylation (4)
- Diagnosis (224)
- Epigenetics (6)
- Fertility (62)
- Follow-up Guidelines (2)
- Health Disparities (14)
- Hereditary Cancer Syndromes (122)
- Immunology (18)
- Li-Fraumeni Syndrome (8)
- Mental Health (116)
- Molecular Diagnostics (8)
- Pain Management (64)
- Palliative Care (8)
- Pathology (10)
- Physical Therapy (18)
- Pregnancy (18)
- Prevention (880)
- Research (384)
- Second Opinion (74)
- Sexuality (16)
- Side Effects (598)
- Sleep Disorders (10)
- Stem Cell Transplantation Cellular Therapy (216)
- Support (404)
- Survivorship (324)
- Symptoms (182)
- Treatment (1764)
Routine blood test predicts risk of developing liver cancer
3 minute read | Published October 17, 2012
Medically Reviewed | Last reviewed by an MD Anderson Cancer Center medical professional on October 17, 2012
A simple measure of liver function routinely taken via blood tests at physical exams and other doctor's visits turns out to be highly predictive of the likelihood of developing liver cancer.
Scientists at MD Anderson and in Taiwan conducted a massive prospective analysis of comprehensive medical, demographic and lifestyle data from 428,584 people in Taiwan from 1994 to 2008.
"These two enzymes alone predicted 91 percent of liver cancer cases in our prospective study," said senior author Xifeng Wu, M.D., Ph.D., professor and chair of MD Anderson's Department of Epidemiology. "If our research is confirmed in other studies, we'd have a measure for liver cancer risk that's easy to apply via a simple blood test that's already in widespread clinical use."
While hepatitis B and C infection are risk predictors for those considered at high likelihood to develop liver cancer, in this study of a general population, levels of two enzymes emerged as unsurpassed predictors of risk. Between 30 and 40 percent of people who develop liver cancer are not infected with either virus. There has been no way to assess their risk, Wu noted.
"Knowing their risk would allow people to respond with lifestyle changes to address other risk factors, such as stopping smoking, reducing alcohol consumption, engaging in physical activity and better managing diabetes," Wu said.
The study is a collaboration with MJ Health Management, the largest private health-screening company in Asia, the Institute of Population Science of the National Health Research Institutes of Taiwan, and China Medical University Hospital.
The researchers developed five models of risk prediction, and the best predictor consisted solely of levels of the enzymes alanine transaminase (ALT) and aspartate transaminase (AST). Adding other factors to the 91.2% prediction rate of the enzymes only raised the rate to 94 percent. Transaminases are involved in production of amino acids and at elevated levels are signs of liver damage.
"We think our models will apply generally, but validation studies must be conducted in other populations," Wu said. Future plans include putting the risk models on a website for public use.
According to the National Cancer Institute, an estimated 28,750 new cases of liver cancer will be diagnosed in 2012 and 20,550 people will die from the disease. Five-year survival rates for liver cancer patients range from:
- 27.7 percent of those with disease limited to the liver upon diagnosis;
- 10 percent of those whose disease has spread to lymph nodes; and
- only 2.1 percent of those with disease that has spread to other organs.
Worldwide, an estimated 749,000 cases were diagnosed in 2008, the latest year available, and 695,000 people died, according to the International Agency for Research on Cancer. Countries in Asia, Africa and Southern Europe have the highest incidence of the disease.
The study was funded by grants from the MD Anderson Center for Translational and Public Health Genomics of the Duncan Family Institute for Cancer Prevention and Risk Assessment, MD Anderson Cancer Center Trust, and the Taiwan Department of Health Clinical Trial and Research Center of Excellence.
Additional information Paper in the Journal of the National Cancer Institute MD Anderson news release.