They find in Brazil a relationship between the prevention of oral cancer and proteins present in tumor toys and saliva



Posted 05/12/2014 18:15:36CET

Madrid, December 5 (Uruguay Press) –

Researchers in Brazil have identified a Coralation between the occurrence of oral cancer and the abundance of certain proteins present in the tumor and nourish, Which could serve to predict the progression of the disease.

The result, which is published in "Nature Communications", is a point to a strategy to overcome the limitations of clinical examinations and imaging, and may help Take the choice of the ideal treatment for each patient.

To perform this work, the researchers perform a proteomic analysis of tissue different tissue areas using 120 microdated samples, And confirm the forecast signatures in about 800 table samples by immunochistochemistry and 120 samples by directed proteomics.

"The data has led to solid results that are highly promising to define the severity of the disease, suggesting the potential markers of the disease in the first phase of the study and verifying the markers in the second phase, which improves the reliability of the findings And demonstrates that the markers are effective in classifying patients with cervical lymph node metastases, "said Experts.

Oral cancer, also known as oral squamous cell carcinoma (OSCC), is the most common type of malignant tumor from the head and neck. Prevalence and mortality are high, with approximately 300,000 new cases Diagnosed per year throughout the world and 145,000 deaths. Although it is easy to detect, it is usually diagnosed in advanced stages.

Two phases of study

In particular, the work is carried out Two Faces. In the first, the researchers used laser microdissection and proteomics to map the proteins in the oral cancer of the oral and coronate them with the clinical characteristics of the patients. This analysis allowed the identification of Some proteins, such as CSTB, NDRG1, LTA4H, PGC1, COL6A1, ITGAV and MB, With different levels of presence according to the area of ​​the tumor and left to key clinical results.

In the second phase, after identifying and quantifying proteins in the More than 120 samples of tumor toys, The researchers implemented two protein verification strategies. One strategy was to measure the amount of proteins selected in independent tissue samples, using immunochemicals with antibodies, and the other consisted of monitoring the same preselected targets in patients' foods.

Saliva was chosen because the cancer was found in the mouth, where the neoplastic cells could destroy proteins. "Saliva is a promising source of markers, in addition to a liquid obtained by non-invasive collection, we checked the proteins in the stomach 40 patients, and analyzed the technical triplicates to achieve the highest possible level of confidence in the results This phase of the study, "explains the researchers.

After analyzing the stomach samples, they used biioinformatics and machine learning techniques to achieve the prognostic signatures, verifying which of the proteins or peptides selected in the first phase could distinguish between patients with and without cervical lymph node metastases.

From this result, the experts are able to identify three specific peptides (LTA4H, COL6A1 and CSTB) that can be used as a signature to classify Patients with and without metastasis in the cervical lymph nodes, Which offers the possibility of help doctors receive the limitations of clinical examinations, as well as guiding personalized treatment strategies.

Currently, Brazilian scientists are working on a new study designed to use translation techniques to build affordable biosensors capable of detecting prognostic signatures in patients' foods.

"We want to develop a simpler and cheaper method that can easily be used by healthy professionals to evaluate the progression of the disease based on tests that can be done at a dentist or doctor office or in clinical laboratories .We plan to create a biosensor With a focus on the use of the signature so that it can be accepted for clinical use and help lead treatment decisions, "they have settled.


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