Prognostic Significance of Defining L-Cell Type on the Biologic Behavior of Rectal Neuroendocrine Tumors in Relation with Pathological Parameters.

Autor: Jin Hee Sohn, Mee-Yon Cho, Yangsoon Park, Hyunki Kim, Woo Ho Kim, Joon Mee Kim, Eun Sun Jung, Kyoung-Mee Kim, Jae Hyuk Lee, Hee Kyung Chang, Do Youn Park, Mee Joo, Sujin Kim, Woo Sung Moon, Mi Seon Kang, So-Young Jin, Yun Kyung Kang, Sun Och Yoon, HyeSeung Han, EunHee Choi
Předmět:
Zdroj: Cancer Research & Treatment; Oct2015, Vol. 47 Issue 4, p813-822, 10p
Abstrakt: Purpose In 2010, the World Health Organization categorized L-cell type neuroendocrine tumors (NETs) as tumors of uncertain malignancy, while all others were classified as malignant. However, the diagnostic necessity of L-cell immunophenotyping is unclear, as are tumor stage and grade that may guide diagnosis and management. To clarify the predictive markers of rectal neuroendocrine neoplasms (NENs), 5- and 10-year overall survival (OS) was analyzed by pathological parameters including L-cell phenotype. Materials and Methods A total of 2,385 rectal NENs were analyzed from our previous multicenter study and a subset of 170 rectal NENs was immunophenotyped. Results In univariate survival analysis, tumor grade (p < 0.0001), extent (p < 0.0001), size (p < 0.0001), lymph node metastasis (p=0.0063), and L-cell phenotype (p < 0.0001) showed significant correlation with the prognosis of rectal NENs; however, none of these markers achieved independent significance in multivariate analysis. The 10-year OS of tumors of NET grade 1, < 10 mm, the mucosa/submucosa was 97.58%, 99.47%, and 99.03%, respectively. L-Cell marker, glucagon II (GLP-1&2), with a cut off score of > 10, is useful in defining L-Cell type. In this study, an L-cell immunophenotype was found in 83.5% of all rectal NENs and most, but not all L-cell type tumors were NET G1, small (< 10 mm) and confined to the mucosa/submucosa. Conclusion From these results, the biological behavior of rectal NENs does not appear to be determined by L-cell type alone but instead by a combination of pathological parameters. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index