Literature DB >> 33737617

Adipose most abundant 2 protein is a predictive marker for cisplatin sensitivity in cancers.

Kenya Kamimura1,2, Takeshi Suda3, Yasuo Fukuhara4, Shujiro Okuda5, Yu Watanabe5, Takeshi Yokoo4, Akihiko Osaki6, Nobuo Waguri6, Toru Ishikawa7, Toshihiro Sato8, Yutaka Aoyagi9, Masaaki Takamura4, Toshifumi Wakai10, Shuji Terai4.   

Abstract

Cisplatin (CDDP) is one of the chemotherapeutic drugs being used to treat various cancers. Although effective in many cases, as high doses of CDDP cause cytotoxic effects that may worsen patients' condition, therefore, a marker of sensitivity to CDDP is necessary to enhance the safety and efficiency of CDDP administration. This study focused on adipose most abundant 2 (APM2) to examine its potential as a marker of CDDP sensitivity. The relationship of APM2 expression with the mechanisms of CDDP resistance was examined in vitro and in vivo using hepatocellular carcinoma (HCC) cells, tissues and serum of HCC patients (n = 71) treated initially with intrahepatic arterial infusion of CDDP followed by surgical resection. The predictability of serum APM2 for CDDP sensitivity was assessed in additional 54 HCC patients and 14 gastric cancer (GC) patients. APM2 expression in CDDP-resistant HCC was significantly higher both in serum and the tissue. Bioinformatic analyses and histological analyses demonstrated upregulation of ERCC6L (DNA excision repair protein ERCC6-like) by APM2, which accounts for the degree of APM2 expression. The serum APM2 level and chemosensitivity for CDDP were assessed and cut-off value of serum APM2 for predicting the sensitivity to CDDP was determined to be 18.7 µg/mL. The value was assessed in HCC (n = 54) and GC (n = 14) patients for its predictability of CDDP sensitivity, resulted in predictive value of 77.3% and 100%, respectively. Our study demonstrated that APM2 expression is related to CDDP sensitivity and serum APM2 can be an effective biomarker of HCC and GC for determining the sensitivity to CDDP.Trial registration: This study was registered with the University Hospital Medical Information Network Clinical Trials Registry (UMIN000028487).

Entities:  

Year:  2021        PMID: 33737617     DOI: 10.1038/s41598-021-85498-7

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  3 in total

1.  Image analysis of breast cancer immunohistochemistry-stained sections using ImageJ: an RGB-based model.

Authors:  T Vrekoussis; V Chaniotis; I Navrozoglou; V Dousias; K Pavlakis; E N Stathopoulos; O Zoras
Journal:  Anticancer Res       Date:  2009-12       Impact factor: 2.480

2.  shRNA knockdown of DNA helicase ERCC6L expression inhibits human breast cancer growth.

Authors:  Juan Liu; Jing Sun; Qian Zhang; Zhaochong Zeng
Journal:  Mol Med Rep       Date:  2018-07-25       Impact factor: 2.952

3.  ERCC6L promotes cell growth and invasion in human colorectal cancer.

Authors:  Yang Xie; Jun Yu; Feng Wang; Mengying Li; Xiao Qiu; Yuting Liu; Jian Qi
Journal:  Oncol Lett       Date:  2019-04-30       Impact factor: 2.967

  3 in total

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