Early detection and prognosis of lung cancer using bioengineered implants
Dr. Ocadiz Ruiz proposes to develop a bioengineered scaffolding and test it in mouse models. If successful, this research could progress to a phase 1 clinical trial and lay the groundwork for a new technology to be used in individuals with increased risk of lung cancer. This technology has to potential to make biopsies and consequently, early detection, easier.
Research Summary
Technical Abstract
Lung cancer is the leading cause of cancer related death among women and men and the second most diagnosed cancer in the world, causing 1.8 million deaths annually. Surgical resection of the primary tumor is the standard of care whenever possible. However, 90% of lung cancer deaths are caused by metastases months-to-years after surgery. Current screening tools such as high-resolution Computed Tomography (CT) and Positron Emission Tomography (PET) can only identify tumors that have reached a detectable size, that often correlates with advanced disease. However, this technology carries side problems, including the false positive rate that led to follow-up tests and invasive procedures that confers additional risks to patients.
Therapeutic strategies targeting specific driver mutations have emerged in recent years for the treatment of metastatic non-small cell lung cancer and have improved survival, yet the initial identification of these molecular alterations depends on biopsies of metastatic lesions after the resection of the primary tumor. For biopsy, the metastatic lesion must be large enough to be detectable by clinical imaging tools, and this large lesion indicates a relatively advanced stage of disease. Biopsy of these lesions is often difficult from both location and patient-safety perspective. An emerging option is a blood draw or liquid biopsy to obtain circulation tumor DNA (ctDNA) for mutation analyses, yet the ctDNA is not abundant in circulation until relatively large metastases have already formed.
Therefore, novel, efficient, and affordable approaches are needed for disease surveillance. We propose a high sensitive, minimally-invasive and efficient cell capture device for easy isolation of tumor cells at early stages of disease, whose analysis can identify targeted therapeutics that can be applied while the disease burden and heterogeneity are low. Furthermore, this technology would increase the coverage of the eligible population and reduce the clinical costs by using histopathology analysis of the sentinel implant. This device is a porous biomaterial scaffold that, when implanted, is vascularized, and infiltrated by immune cells and subsequently cancer cells, acting as a synthetic sentinel niche that provides information about the disease development and progression. Our previous studies in breast and pancreatic cancer models have demonstrated that tumor cells are detectable early after tumor initiation and during the progression of the disease. A comparative analysis of scaffolds and ctDNA showed that the implant captured and therefore detected cancer cells before positive detection of ctDNA.
We will determine the genomic and transcriptomic prolife of inoculated lung cancer cells in PDX’s murine model at early time points. We anticipate that the tumor cells captured by the scaffolds will recapitulate the genotype of the parental PDX. The scaffold safety will be investigated in a Phase I clinical study of metastatic lung cancer patients implanted with our scaffold, with biopsy and subsequent removal to analyze captured cells. Sequencing analysis will be applied to captured cancer cells to assess their genomic and transcriptomic profile. We foresee the use of these bioengineered implants for surveillance in high-risk lung cancer patients, with analysis of the collected cells employed to identify personalized therapeutic strategies to improve patient outcome.