AI Article Synopsis

  • Researchers found that single oncosuppressor-mutated (SOM) cells can become cancerous when exposed to sera from cancer patients, suggesting a link between serum composition and cancer development.
  • The study aims to create a biological platform for detecting cancer in healthy individuals and predicting the likelihood of metastases after tumor surgery, using blood samples before and after tumor removal.
  • Results indicated that metastatic patient sera transformed SOM cells into malignant ones, allowing for the early detection of cancerous lesions and the ability to predict metastasis, making this approach promising for cancer screening beyond traditional methods.

Article Abstract

We reported that single oncosuppressor-mutated (SOM) cells turn malignant when exposed to cancer patients' sera. We tested the possibility to incorporate this discovery into a biological platform able to detect cancer in healthy individuals and to predict metastases after tumor resection. Blood was drawn prior to tumor resection and within a year after surgery. Blood samples from healthy individuals or metastatic patients were used as negative and positive controls, respectively. Patients at risk for cancer were included in the screening cohort. Once treated, cells were injected into nonobese diabetic/severe combined immunodeficiency mice to monitor tumor growth. All samples of sera coming from metastatic patients transformed SOM cells into malignant cells. Four samples from screened patients transformed SOM cells. Further clinical tests done on these patients showed the presence of early cancerous lesions despite normal tumor markers. Based on the xenotransplants size, we were able to predict metastasis in three patients before diagnostic tests confirmed the presence of the metastatic lesions. These data show that this serum-based platform has potentials to be used for cancer screening and for identification of patients at risks to develop metastases regardless of the Tumor Node Metastasis (TNM) stage or tumor markers level.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548309PMC
http://dx.doi.org/10.1177/1849454416663661DOI Listing

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