Format

Send to

Choose Destination
Ann Surg Oncol. 2012 Nov;19(12):3719-26. doi: 10.1245/s10434-012-2454-8. Epub 2012 Jul 3.

Prognostic relevance of occult metastases detected by cytokeratin 20 and mucin 2 mRNA levels in sentinel lymph nodes from colon cancer patients.

Author information

1
Department of Hematology and Oncology, Stavanger University Hospital, Stavanger, Norway. nood@sus.no

Abstract

PURPOSE:

To investigate the prognostic value of occult metastases detected by quantitative measurements of candidate biomarkers in sentinel lymph nodes (SLNs) from patients curatively resected for colon cancer.

METHODS:

Resection specimens from consecutive patients undergoing surgery for localized colon cancer were subjected to ex vivo SLN mapping. SLNs were examined for the presence of metastases by routine hematoxylin-erythrosin-safranin staining and by cytokeratin 20 (CK20) and mucin 2 (MUC2) mRNA quantification. The patients were stratified according to KRAS and BRAF mutation status and microsatellite instability status in their primary tumors. Survival end points were analyzed by Kaplan-Meier survival estimates and log-rank tests.

RESULTS:

A total of 817 SLNs were identified in 206 (97 %) of the 213 included patients. Routine histological examination of SLNs and other regional lymph nodes identified 63 patients with positive nodes (pN+), of which 42 (67 %) were positive in one or more SLNs (sensitivity 67 %, false-negative rate 33 %). On the basis of the CK20 and MUC2 mRNA levels in SLNs, occult metastases were suggested in 86 (60 %) and 52 (36 %) of the 143 otherwise LN-negative (pN0) patients, respectively. Survival analysis with a median 3.6-year follow-up revealed that MUC2 mRNA quantification had significant prognostic value in SLNs from all patients; however, occult SLN metastasis detection did not.

CONCLUSIONS:

Occult SLN metastases detected by CK20 and MUC2 mRNA quantification had limited prognostic value.

PMID:
22752373
DOI:
10.1245/s10434-012-2454-8
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Springer Icon for Norwegian BIBSYS system
Loading ...
Support Center