Is the Mirror Image Method Really Useful in Tumor Tissue Bank Quality Control?

Oncology research projects are highly dependent on the quality of tumor samples stored in the biobank. Microscopic control is important to ensure the quality of the frozen sample (Does the sample correspond to tumor tissue? Does the sample contain a sufficient number of tumor cells for molecular analysis?). The aim of this study was to evaluate the value of the mirror image method in quality control of colonic adenocarcinoma samples stored in a tumor bank. Microscopic concordance for the differentiation grade, malignant and normal cell percentages, necrosis, mucinous component, and ulceration was assessed on 82 colon adenocarcinoma banked samples and their paired, formalin-fixed, paraffin-embedded mirror controls. Molecular concordance for KRAS status was evaluated in 76 of these 82 cases. Morphological correspondence between frozen and mirror samples was good for the mucinous component (intraclass correlation coefficient [ICC] = 0.81), moderate for differentiation (Cohen's kappa coefficient [k] = 0.67), fair for malignant cells (ICC = 0.44), and poor for ulceration (k = 0.08), normal tissue (ICC = 0.36), and necrosis (ICC = 0.13) percentages. Molecular correspondence for KRAS status was almost perfect (95% correspondence, k = 0.88) between frozen and mirror samples. In conclusion, the mirror sample method is not a good alternative for microscopic and molecular control of frozen colonic adenocarcinoma samples.

LRP1 expression in colon cancer predicts clinical outcome.

LRP1 (low-density lipoprotein receptor-related protein 1), a multifunctional endocytic receptor, has recently been identified as a hub within a biomarker network for multi-cancer clinical outcome prediction. As its role in colon cancer has not yet been characterized, we here investigate the relationship between LRP1 and outcome. MATERIALS AND METHODS: LRP1 mRNA expression was determined in colon adenocarcinoma and paired colon mucosa samples, as well as in stromal and tumor cells obtained after laser capture microdissection. Clinical potential was further investigated by immunohistochemistry in a population-based colon cancer series (n = 307). LRP1 methylation, mutation and miR-205 expression were evaluated and compared with LRP1 expression levels. RESULTS: LRP1 mRNA levels were significantly lower in colon adenocarcinoma cells compared with colon mucosa and stromal cells obtained after laser capture microdissection. Low LRP1 immunohistochemical expression in adenocarcinomas was associated with higher age, right-sided tumor, loss of CDX2 expression, Annexin A10 expression, CIMP-H, MSI-H and BRAFV600E mutation. Low LRP1 expression correlated with poor clinical outcome, especially in stage IV patients. While LRP1 expression was downregulated by LRP1 mutation, LRP1 promoter was never methylated. CONCLUSIONS: Loss of LRP1 expression is associated with worse colon cancer outcomes. Mechanistically, LRP1 mutation modulates LRP1 expression.

Biobanking of Fresh-Frozen Human Adenocarcinomatous and Normal Colon Tissues: Which Parameters Influence RNA Quality?

Medical research projects become increasingly dependent on biobanked tissue of high quality because the reliability of gene expression is affected by the quality of extracted RNA. Hence, the present study aimed to determine if clinical, surgical, histological, and molecular parameters influence RNA quality of normal and tumoral frozen colonic tissues. RNA Quality Index (RQI) was evaluated on 241 adenocarcinomas and 115 matched normal frozen colon tissues collected between October 2006 and December 2012. RQI results were compared to patients' age and sex, tumor site, kind of surgery, anastomosis failure, adenocarcinoma type and grade, tumor cell percentage, necrosis extent, HIF-1α and cleaved caspase-3 immunohistochemistry, and BRAF, KRAS and microsatellites status. The RQI was significantly higher in colon cancer tissue than in matched normal tissue. RQI from left-sided colonic cancers was significantly higher than RQI from right-sided cancers. The RNA quality was not affected by ischemia and storage duration. According to histological control, 7.9% of the samples were unsatisfactory because of inadequate sampling. Biobanked tumoral tissues with RQI ≥5 had lower malignant cells to stromal cells ratio than samples with RQI <5 (p <0.05). Cellularity, necrosis extent and mucinous component did not influence RQI results. Cleaved caspase-3 and HIF-1α immunolabelling were not correlated to RQI. BRAF, KRAS and microsatellites molecular status did not influence RNA quality. Multivariate analysis revealed that the tumor location, the surgical approach (laparoscopy versus open colectomy) and the occurrence of anastomotic leakage were the only parameters influencing significantly RQI results of tumor samples. We failed to identify parameter influencing RQI of normal colon samples. These data suggest that RNA quality of colonic adenocarcinoma biospecimens is determined by clinical and surgical parameters. More attention should be paid during the biobanking procedure of right-sided colon cancer or laparoscopic colectomy specimen. Histological quality control remains essential to control sampling accuracy.