The diagnostic value of one-step nucleic acid amplification (OSNA) for sentinel lymph nodes in colon cancer patients.

BACKGROUND: Lymph node status in colon cancer is critical for prognosis estimation and treatment allocation. The purpose of this study was to compare the performance of one-step nucleic acid amplification (OSNA) through detection of cytokeratin 19 mRNA levels with routine pathological examination (RP) and multilevel fine pathological examination (FP) in sentinel lymph nodes (SLN), detected using the ex vivo SLN mapping (SLNM) procedure, in presurgically defined nonmetastatic colon cancer patients. METHODS: In this prospective study, 325 SLNs of 128 patients from the Jeroen Bosch Hospital in 's-Hertogenbosch and the Leiden University Medical Center were investigated by RP (H&E), FP (H&E and Keratin Pan immunohistochemical staining), and OSNA. The SLNs were harvested by the SLNM procedure, using Patent blue or Indocyanine green. SLNs were divided and separate parts were used for RP, FP, and the OSNA assay. RESULTS: The diagnostic value of OSNA was 82.1 and 100 % for both FP and combined method (OSNA and FP) compared with RP. An upstaging rate of 20.2 % was obtained with the use of OSNA only and 36.4 % with the use of FP only. An upstaging rate of 46.5 % was obtained by combining the two methods together. CONCLUSIONS: OSNA and FP appeared to be promising tools for the detection of lymph node micro- and macrometastases in SLNs after SLNM. The performances of OSNA and FP in this study were superior to RP. Because OSNA allows analysis of the whole lymph node, sampling bias can be avoided. OSNA therefore may improve tumor staging.

Combined analysis of biomarkers of proliferation and apoptosis in colon cancer: an immunohistochemistry-based study using tissue microarray.

BACKGROUND: Disturbance of the balance between proliferation and apoptosis is an important hallmark of tumor development. The goal of this study was to develop a descriptive parameter that represents this imbalance and relate this parameter to clinical outcome in all four stages of colon cancer. MATERIAL AND METHODS: The study population consisted of 285 stage I-IV colon cancer patients of which a tumor tissue microarray (TMA) was available. TMA sections were immunohistochemically stained and quantified for the presence of Ki67 and cleaved caspase-3 tumor expression. These results were used to develop the combined apoptosis proliferation (CAP) parameter and correlated to patient outcome. RESULTS: The CAP parameter was significantly related to clinical outcome; patients with CAP ++ (high level of both apoptosis and proliferation) showed the best outcome perspectives (overall survival (OS), p = 0.004 and disease-free survival (DFS), p = 0.009). The effect of the CAP parameter was related to tumor microsatellite status and indirectly to tumor location, where left-sided tumors with CAP + - (high level of proliferation, low level of apoptosis) showed a worse prognosis (DFS p value 0.02) and right-sided tumors with CAP + - had a better prognosis (DFS p value 0.032). With stratified analyses, the CAP parameter remained significant in stage II tumors only. CONCLUSIONS: The CAP parameter, representing outcome of the balance between the level of apoptosis and proliferation, can be used as a prognostic marker in colon cancer patients for both DFS and OS, particularly in left-sided, microsatellite stable tumors when tumor-node-metastasis (TNM) stage is taken into account.

Clinical prognostic value of combined analysis of Aldh1, Survivin, and EpCAM expression in colorectal cancer.

BACKGROUND: Tumour aggressiveness might be related to the degree of main cancer hallmark acquirement of tumour cells, reflected by expression levels of specific biomarkers. We investigated the expression of Aldh1, Survivin, and EpCAM, together reflecting main cancer hallmarks, in relation to clinical outcome of colorectal cancer (CRC) patients. METHODS: Immunohistochemistry was performed using a tumour tissue microarray of TNM (Tumour, Node, Metastasis)-stage I-IV CRC tissues. Single-marker expression or their combination was assessed for associations with the clinical outcome of CRC patients (N=309). RESULTS: Increased expression of Aldh1 or Survivin, or decreased expression of EpCAM was each associated with poor clinical outcome, and was therefore identified as clinically unfavourable expression. Analyses of the combination of all three markers showed worse clinical outcome, specifically in colon cancer patients, with an increasing number of markers showing unfavourable expression. Hazard ratios ranged up to 8.3 for overall survival (P<0.001), 36.6 for disease-specific survival (P<0.001), and 27.1 for distant recurrence-free survival (P<0.001). CONCLUSIONS: Our data identified combined expression levels of Aldh1, Survivin, and EpCAM as strong independent prognostic factors, with high hazard ratios, for survival and tumour recurrence in colon cancer patients, and therefore reflect tumour aggressiveness.

Combined analysis of HLA class I, HLA-E and HLA-G predicts prognosis in colon cancer patients.

BACKGROUND: Evasion of immune surveillance and suppression of the immune system are important hallmarks of tumour development in colon cancer. The goal of this study was to establish a tumour profile based on biomarkers that reflect a tumour's immune susceptibility status and to determine their relation to patient outcome. METHODS: The study population consisted of 285 stage I-IV colon cancer patients of which a tissue micro array (TMA) was available. Sections were immunohistochemically stained for the presence of Foxp3+ cells and tumour expression of HLA Class I (HLA-A, -B, -C) and non-classical HLA-E and HLA-G. All markers were combined for further analyses, resulting in three tumour immune phenotypes: strong immune system tumour recognition, intermediate immune system tumour recognition and poor immune system tumour recognition. RESULTS: Loss of HLA class I expression was significantly related to a better OS (P-value 0.005) and DFS (P-value 0.008). Patients with tumours who showed neither HLA class I nor HLA-E or -G expression (phenotype a) had a significant better OS and DFS (P-value <0.001 and 0.001, respectively) compared with phenotype b (OS HR: 4.7, 95% CI: 1.2-19.0, P=0.001) or c (OS HR: 8.2, 95% CI: 2.0-34.2, P=0.0001). Further, the tumour immune phenotype was an independent predictor for OS and DFS (P-value 0.009 and 0.013, respectively). CONCLUSION: Tumours showing absence of HLA class I, HLA-E and HLA-G expressions were related to a better OS and DFS. By combining the expression status of several immune-related biomarkers, three tumour immune phenotypes were created that related to patient outcome. These immune phenotypes represented significant, independent, clinical prognostic profiles in colon cancer.