Literature DB >> 31789399

Annexin A10 is involved in the induction of pancreatic duodenal homeobox‑1 in gastric cancer tissue, cells and organoids.

Akira Ishikawa1, Naoya Sakamoto1, Ririno Honma1, Daiki Taniyama1, Kaho Fukada1, Takuya Hattori1, Kazuhiro Sentani1, Naohide Oue1, Kazuyoshi Yanagihara2, Kazuaki Tanabe3, Hideki Ohdan3, Wataru Yasui1.   

Abstract

Gastric cancer (GC) is the third most common cause of cancer‑related death in the world. Annexin A10 (ANXA10), a member of the Annexin family, is a calcium‑/phospholipid‑binding protein; however, little is known concerning its functions. It is still unclear what molecule is involved in the induction of ANXA10. In the present study, we performed immunohistochemistry to evaluate the expression of ANXA10, pancreatic and duodenal homeobox‑1 (PDX1) and mucin phenotype markers in 130 GC samples. ANXA10 was detected in 63 (48%) of the 130 GC cases and loss of ANXA10 was significantly correlated with disease progression and poor clinical outcomes in GC. PDX1 was significantly correlated with ANXA10 in GC cases and cell lines. Although PDX1 was not significantly correlated with the GC cases with any of the mucin phenotypes, ANXA10 was preferentially detected in the GC cases with the gastric mucin phenotype. As a further investigation, we generated organoids derived from human GC and identified the duplication of the mucin phenotypes of GC by immunohistochemistry. The repression effect on cell growth that was observed in the ANXA10‑knockdown cell lines was also clearly observed in the human gastric organoids. We demonstrated that the expression of ANXA10 was correlated with the gastric mucin phenotype and ANXA10 was involved in the induction of PDX1 expression in GC. We also provided evidence that GC organoids represent a powerful tool for scrutinizing the biology of GC, especially with regard to the mucin phenotype.

Entities:  

Year:  2019        PMID: 31789399     DOI: 10.3892/or.2019.7422

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  6 in total

1.  Molecular biological analysis of 5-FU-resistant gastric cancer organoids; KHDRBS3 contributes to the attainment of features of cancer stem cell.

Authors:  Shoichi Ukai; Ririno Honma; Naoya Sakamoto; Yusuke Yamamoto; Quoc Thang Pham; Kenji Harada; Tsuyoshi Takashima; Daiki Taniyama; Ryuichi Asai; Kaho Fukada; Kazuhito Naka; Kazuaki Tanabe; Hideki Ohdan; Wataru Yasui
Journal:  Oncogene       Date:  2020-10-12       Impact factor: 9.867

2.  High Annexin A10 expression is correlated with poor prognosis in pancreatic ductal adenocarcinoma.

Authors:  Akira Ishikawa; Kazuya Kuraoka; Junichi Zaitsu; Akihisa Saito; Atsushi Yamaguchi; Toshio Kuwai; Takeshi Sudo; Naoto Hadano; Hirotaka Tashiro; Kiyomi Taniyama; Wataru Yasuif
Journal:  Histol Histopathol       Date:  2021-11-25       Impact factor: 2.303

3.  Comprehensive Molecular Analyses of a Macrophage-Related Gene Signature With Regard to Prognosis, Immune Features, and Biomarkers for Immunotherapy in Hepatocellular Carcinoma Based on WGCNA and the LASSO Algorithm.

Authors:  Tao Wang; Liqun Dai; Shu Shen; Yi Yang; Ming Yang; Xianwei Yang; Yiwen Qiu; Wentao Wang
Journal:  Front Immunol       Date:  2022-05-27       Impact factor: 8.786

4.  Schlafen 11 predicts response to platinum-based chemotherapy in gastric cancers.

Authors:  Tsuyoshi Takashima; Daiki Taniyama; Naoya Sakamoto; Maika Yasumoto; Ryuichi Asai; Takuya Hattori; Ririno Honma; Pham Quoc Thang; Shoichi Ukai; Ryota Maruyama; Kenji Harada; Kazuya Kuraoka; Kazuaki Tanabe; Atsuo T Sasaki; Hideki Ohdan; Eiichi Morii; Junko Murai; Wataru Yasui
Journal:  Br J Cancer       Date:  2021-03-30       Impact factor: 7.640

5.  Loss of Annexin A10 Expression Is Associated with Poor Prognosis in Early Gastric Cancer.

Authors:  Akira Ishikawa; Kazuya Kuraoka; Junichi Zaitsu; Akihisa Saito; Toshio Kuwai; Takahisa Suzuki; Hirotaka Tashiro; Kiyomi Taniyama; Wataru Yasui
Journal:  Acta Histochem Cytochem       Date:  2020-09-24       Impact factor: 1.938

6.  PredictiveNetwork: predictive gene network estimation with application to gastric cancer drug response-predictive network analysis.

Authors:  Heewon Park; Seiya Imoto; Satoru Miyano
Journal:  BMC Bioinformatics       Date:  2022-08-16       Impact factor: 3.307

  6 in total

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