2023-06-02 02:00:21
- Lung cancer is the most common cause of death from tumors worldwide.
- The novel algorithm requires only a blood sample to predict future cases of lung cancer.
- According to the WHO, there are 10 million deaths annually from cancer on the planet.
One of the main problems with tumors is that most cases are identified in advanced stages. Lack of interest in regular medical check-ups can lead to dire consequences. With this in mind, a new algorithm would be very useful because it would help predict the risk of developing lung cancer.
In the first instance, the World Health Organization (WHO) mentions that neoplasms are responsible for 10 million deaths per year. The figure is too high, although the outlook for the future still looks worse.
The current problem has increased due to the lifestyle that prevails among the population. From the sedentary lifestyle to a diet based on ultra-processed products and habits such as alcoholism and smokingo They are responsible for the majority of cases of tumors that are registered.
Algorithm to predict lung cancer
With the above in mind, the highest recommendation for the population is to change their lifestyle to reduce risks. But it is also necessary to identify the tumors as soon as possible to start immediately with an adequate treatment. Regarding the last mentioned there is now a promising alternative.
WHO researchers identified protein markers in blood samples that are associated with lung cancer and from that discovery they developed an algorithm to predict future cases.
Lung cancer is the most common cause of death from tumors worldwide. Despite advances in treatment, the most promising strategy to improve survival is to advance early detection.
How does the algorithm work?
The study authors, who work at the International Agency for Research on Cancer, measured up to 1,200 proteins in samples collected from 731 people with a history of smoking who were later diagnosed with lung cancer. They compared the samples with those of 731 other people of similar age, sex, and smoking history who did not develop cancer.
“The result was the identification of 36 protein markers that are closely related to the risk of developing lung cancer,” says Hana Zahed, one of the study’s lead authors.
A second study has developed an algorithm based on the markers. According to the coordinator of these studies, the results are “very promising and represent a great step” to improve clinical decision-making in lung cancer screening.
On the other hand, there are some barriers to receive an accurate and timely diagnosis of lung cancer. Among the first are: the normalization of symptoms, as long as they do not interfere with their daily tasks; ignorance of the disease, fear of having a serious condition, self-medication, lack of culture of prevention, economic and sociocultural situation, as well as guilt, in some cases the discouragement of family members and resignation.
Also read:
Bronchoscopy, the greatest ally to detect lung cancer
Smoking, responsible for 7 out of 10 deaths from lung cancer
Lung cancer in Mexico: Main barriers that patients face to receive a diagnosis
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