Why do overseas medical treatments have ovarian cancer survival for more than 10 years?
Release date: 2015-08-26
A new study published in the Journal of Obstetrics and Gynecology found that 10-year survival rates for patients with ovarian cancer are higher than previously thought. Some ovarian cancer patients with poor prognostic factors (such as advanced age and advanced diagnosis) can survive for a long time.
According to the National Cancer Institute's Surveillance, Epidemiology, and Outcome Research Program (SEER), the 5-year survival rate for patients with ovarian cancer is 45.6%. Although few studies have investigated the survival rate of patients with ovarian cancer for a longer period of time, it is not enough to only count the 5-year survival rate.
More than 30% of ovarian cancer patients survive for more than 10 years
The study's author, Rosemary Cress of the Department of Public Health at the University of California, Davis, and her colleagues conducted a study investigating the 10-year survival rate of patients with ovarian cancer. They analyzed data from the California Cancer Registry. From 1994 to 2001, 11,541 women were diagnosed with epithelial ovarian cancer, the most common type of ovarian cancer, with a ratio of approximately 9/ 10. The study found that 3,582 (31%) patients had a survival of more than 10 years. Of the patients who were considered to have a higher risk of death from older, higher-grade or advanced cancer, 954 had a survival of more than 10 years.
Cress said: "We are a little surprised by the results of many long-term survivors in this cancer that is generally considered to have high mortality."
Of the 11,541 ovarian cancer patients enrolled in the study, 3,582 (31%) had a survival of more than 10 years.
Why do these ovarian cancer patients survive for more than 10 years?
Gary Leiserowitz, co-author of the study and the Department of Obstetrics and Gynecology at the University of California, Davis, said: "This may be due to the presence of BRCA1 and BRCA2 mutations in some ovarian cancer patients, and the response to chemotherapy in patients with these mutations. Better. In addition, for patients with advanced ovarian cancer, biological differences can affect individual treatment outcomes, and some patients will receive more effective treatments than others, thereby increasing their likelihood of survival."
This discovery is significant for patients
Although further research is needed to determine why certain ovarian cancer patients can survive for long periods of time, the current findings provide hope for thousands of ovarian cancer patients.
Cress said: "The idea that almost all patients will die of ovarian cancer is incorrect. This news is helpful for their newly diagnosed doctors and obstetricians who receive cancer after treatment."
Leiserowitz said, “It is important to inform patients that this information is important. Many patients and doctors believe that ovarian cancer is a very dangerous cancer, but they are not aware of the huge biological differences between patients. Ovarian cancer is not all fatal. of."
Jacqueline Price is a Leiserowitz patient, a 74-year-old ovarian cancer survivor who was diagnosed with stage III ovarian cancer at the age of 60. She believes that the latest findings will make those ovarian cancer patients understand that the disease is not a "necessary death sentence" and enhance their optimism, past research has confirmed that optimism can improve cancer survival.
Further research is needed
Cress said that more research is needed to better understand the long-term survival of patients with ovarian cancer, but the researchers lack the resources of long-term follow-up patients.
She also pointed out: "The advantage of our research is that it can obtain more than 10 years of population-based cancer patient registration data. However, future research should explore the potential mechanism of long-term survival of ovarian cancer patients. Future research will be in cancer registration data. More detailed treatment information and genomic data from ovarian tumor analysis were added to determine the impact of these factors on survival."
Source: Internet
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