Analysis of the molecular features of rectal carcinoid tumors to identify new biomarkers that predict biological malignancy

Kei Mitsuhashi, Itaru Yamamoto, Hiroyoshi Kurihara, Shinichi Kanno, Miki Ito, Hisayoshi Igarashi, Keisuke Ishigami, Yasutaka Sukawa, Mami Tachibana, Hiroaki Takahashi, Takashi Tokino, Reo Maruyama, Hiromu Suzuki, Kohzoh Imai, Yasuhisa Shinomura, Hiroyuki Yamamoto, Katsuhiko Nosho

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Although gastrointestinal carcinoid tumors are relatively rare in the digestive tract, a quarter of them are present in the rectum. In the absence of specific tumor biomarkers, lymphatic or vascular invasion is generally used to predict the risk of lymph node metastasis. We, therefore, examined the genetic and epigenetic alterations potentially associated with lymphovascular invasion among 56 patients with rectal carcinoid tumors. We also conducted a microRNA (miRNA) array analysis. Our analysis failed to detect mutations in BRAF, KRAS, NRAS, or PIK3CA or any microsatellite instability (MSI); however, we did observe CpG island methylator phenotype (CIMP) positivity in 13% (7/56) of the carcinoid tumors. The CIMP-positive status was significantly correlated with lymphovascular invasion (P = 0.036). The array analysis revealed that microRNA-885 (miR-885)-5p was the most up-regulated miRNA in the carcinoid tumors with lymphovascular invasion compared with that in those without invasion. In addition, high miR-885-5p expression was independently associated with lymphovascular invasion (P = 0.0002). In conclusion, our findings suggest that miR-885-5p and CIMP status may be useful biomarkers for predicting biological malignancy in patients with rectal carcinoid tumors.

Original languageEnglish
Pages (from-to)22114-22125
Number of pages12
JournalOncotarget
Volume6
Issue number26
Publication statusPublished - 2015
Externally publishedYes

Fingerprint

Carcinoid Tumor
Rectal Neoplasms
MicroRNAs
Biomarkers
CpG Islands
Neoplasms
Phenotype
Microsatellite Instability
Tumor Biomarkers
Rectum
Epigenomics
Blood Vessels
Gastrointestinal Tract
Lymph Nodes
Neoplasm Metastasis
Mutation

Keywords

  • Carcinoid
  • Epigenetics
  • Neuroendocrine tumor
  • Non-coding RNA
  • Rectum

ASJC Scopus subject areas

  • Oncology

Cite this

Mitsuhashi, K., Yamamoto, I., Kurihara, H., Kanno, S., Ito, M., Igarashi, H., ... Nosho, K. (2015). Analysis of the molecular features of rectal carcinoid tumors to identify new biomarkers that predict biological malignancy. Oncotarget, 6(26), 22114-22125.

Analysis of the molecular features of rectal carcinoid tumors to identify new biomarkers that predict biological malignancy. / Mitsuhashi, Kei; Yamamoto, Itaru; Kurihara, Hiroyoshi; Kanno, Shinichi; Ito, Miki; Igarashi, Hisayoshi; Ishigami, Keisuke; Sukawa, Yasutaka; Tachibana, Mami; Takahashi, Hiroaki; Tokino, Takashi; Maruyama, Reo; Suzuki, Hiromu; Imai, Kohzoh; Shinomura, Yasuhisa; Yamamoto, Hiroyuki; Nosho, Katsuhiko.

In: Oncotarget, Vol. 6, No. 26, 2015, p. 22114-22125.

Research output: Contribution to journalArticle

Mitsuhashi, K, Yamamoto, I, Kurihara, H, Kanno, S, Ito, M, Igarashi, H, Ishigami, K, Sukawa, Y, Tachibana, M, Takahashi, H, Tokino, T, Maruyama, R, Suzuki, H, Imai, K, Shinomura, Y, Yamamoto, H & Nosho, K 2015, 'Analysis of the molecular features of rectal carcinoid tumors to identify new biomarkers that predict biological malignancy', Oncotarget, vol. 6, no. 26, pp. 22114-22125.
Mitsuhashi K, Yamamoto I, Kurihara H, Kanno S, Ito M, Igarashi H et al. Analysis of the molecular features of rectal carcinoid tumors to identify new biomarkers that predict biological malignancy. Oncotarget. 2015;6(26):22114-22125.
Mitsuhashi, Kei ; Yamamoto, Itaru ; Kurihara, Hiroyoshi ; Kanno, Shinichi ; Ito, Miki ; Igarashi, Hisayoshi ; Ishigami, Keisuke ; Sukawa, Yasutaka ; Tachibana, Mami ; Takahashi, Hiroaki ; Tokino, Takashi ; Maruyama, Reo ; Suzuki, Hiromu ; Imai, Kohzoh ; Shinomura, Yasuhisa ; Yamamoto, Hiroyuki ; Nosho, Katsuhiko. / Analysis of the molecular features of rectal carcinoid tumors to identify new biomarkers that predict biological malignancy. In: Oncotarget. 2015 ; Vol. 6, No. 26. pp. 22114-22125.
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