Flow Cytometry is an analytical technique for the precise quantification of cellular phenotype. Intraoperative Flow Cytometry (iFC) utilizes flow cytometry for DNA content/ploidy and cell cycle distribution analysis during surgery for cancer cell characterization and evaluation of tumor margins. Various types of cancers, including intracranial, head and neck, breast and liver malignancies have been evaluated with iFC. In the current study we present an intraoperative Flow Cytometry protocol for colorectal cancer cell detection and potential resection margin evaluation. This study includes 106 colorectal cancer patients in which samples from cancer and normal colon epithelium were prospectively collected intraoperatively and comparatively assessed with iFC. Patients' demographics, tumor data and cytometry parameters were assessed. We have demonstrated that a cut-off value of 10.5% for tumor-index (fraction of cells in S and G2/M cell cycle phases) predicts with ∼91% accuracy (82.2% sensitivity and 99.9% specificity) the presence of cancer cells. Evaluation of tumor margins by iFC in the subpopulation of rectal cancer patients with or without neoadjuvant therapy, revealed an accuracy of 79% and 88%, respectively. Our data support that regarding colorectal cancer, iFC is a useful adjunct method for tumor cell identification and probably margin evaluation, which could be utilized in rectal cancer treatment in the era of organ sparing procedures.

Background/Objectives: Colorectal cancer (CRC) is still accompanied by significant mortality, which poses the necessity of novel markers to predict treatment success and patient survival. This study aims to evaluate the prognostic and survival impact of flowytometry (FC) in CRC patients. Methods: In this prospective study, 106 surgically resectable CRC patients were included. Tissue specimens from tumor and normal mucosa were collected and analyzed by FC. DNA and tumor index were calculated. In a subgroup of 46 patients, the CD26 expression on tumor cells was estimated. These parameters were compared with patients’ tumor characteristics as stage, histology data, responsiveness to treatment, metastasis/recurrence, and, finally, patients’ survival to identify possible new biomarkers. Results: The overall survival and the disease-specific survival in our study group was 76% and 72%, respectively, during the 7-year follow up period. Diploid tumors had better median survival than the aneuploid ones. The DNA index had significant correlation to the tumor index and response to neoadjuvant treatment. Similarly, the tumor index was also significantly related to the response to neoadjuvant treatment. Patients with a higher tumor index had worst survival rates. Surprisingly, CD26 levels were not associated with any of the parameters examined and were negatively related to tumor stage and differentiation. Conclusions: FC is a rapid and reliable method of cell analysis. In CRC, it has been used for prognostic and diagnostic purposes. In this study, we have shown that DNA and tumor index could become predictive biomarkers of tumor response to neoadjuvant treatment and survival of resectable CRC patients.

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