Small cell lung cancer (SCLC) is a particularly aggressive and deadly disease that accounts for about one in seven individuals with lung cancer. Although there are several treatment options, there are no reliable diagnostic tests, or “biomarkers”, that identify tumors that will respond to specific treatments. In addition, current treatment options are not curative, and even when treatment is initially effective in controlling the disease, resistance to treatment often develops rapidly.
Dr. Christian Rolfo’s team has developed laboratory models from SCLC circulating tumor cells (CTCs) derived from patients, allowing the generation of models that replicate the behavior of the human tumor, and facilitate identification of specific molecular changes that contribute to treatment resistance. The scientists plan to standardize and validate this novel strategy of evaluating CTCs derived from patients in the models and transform it into a reality.
Impact
This new approach may individualize treatment selection and _develop a new approach for prolonging survival of patients with SCLC.





