Literature DB >> 28624625

A formalin-fixed paraffin-embedded (FFPE)-based prognostic signature to predict metastasis in clinically low risk stage I/II microsatellite stable colorectal cancer.

Yee Syuen Low1, Christopher Blöcker2, John R McPherson2, See Aik Tang1, Ying Ying Cheng2, Joyner Y S Wong1, Clarinda Chua3, Tony K H Lim4, Choong Leong Tang1, Min Hoe Chew1, Patrick Tan5, Iain B Tan3, Steven G Rozen5, Peh Yean Cheah6.   

Abstract

Approximately 20% early-stage (I/II) colorectal cancer (CRC) patients develop metastases despite curative surgery. We aim to develop a formalin-fixed and paraffin-embedded (FFPE)-based predictor of metastases in early-stage, clinically-defined low risk, microsatellite-stable (MSS) CRC patients. We considered genome-wide mRNA and miRNA expression and mutation status of 20 genes assayed in 150 fresh-frozen tumours with known metastasis status. We selected 193 genes for further analysis using NanoString nCounter arrays on corresponding FFPE tumours. Neither mutation status nor miRNA expression improved the estimated prediction. The final predictor, ColoMet19, based on the top 19 genes' mRNA levels trained by Random Forest machine-learning strategy, had an estimated positive-predictive-value (PPV) of 0.66. We tested ColoMet19 on an independent test-set of 131 tumours and obtained a population-adjusted PPV of 0.67 indicating that early-stage CRC patients who tested positive have a 67% risk of developing metastases, substantially higher than the metastasis risk of 40% for node-positive (Stage III) patients who are generally treated with chemotherapy. Predicted-positive patients also had poorer metastasis-free survival (hazard ratios [HR] = 1.92, design-set; HR = 2.05, test-set). Thus, early-stage CRC patients who test positive may be considered for adjuvant therapy after surgery.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Early-stage clinically low-risk colorectal cancer; Gene expression signature; Metastasis risk; Negative predictive value; Positive predictive value; Random forest

Mesh:

Substances:

Year:  2017        PMID: 28624625     DOI: 10.1016/j.canlet.2017.05.031

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  6 in total

1.  LncRNAs Associated with Chemoradiotherapy Response and Prognosis in Locally Advanced Rectal Cancer.

Authors:  Yiyi Zhang; Bingjie Guan; Yong Wu; Fan Du; Jinfu Zhuang; Yuanfeng Yang; Guoxian Guan; Xing Liu
Journal:  J Inflamm Res       Date:  2021-11-27

2.  RCRdiff: A fully integrated Bayesian method for differential expression analysis using raw NanoString nCounter data.

Authors:  Can Xu; Xinlei Wang; Johan Lim; Guanghua Xiao; Yang Xie
Journal:  Stat Med       Date:  2021-11-12       Impact factor: 2.373

3.  Enhancer-derived long non-coding RNAs CCAT1 and CCAT2 at rs6983267 has limited predictability for early stage colorectal carcinoma metastasis.

Authors:  Lai Fun Thean; Christopher Blöcker; Hui Hua Li; Michelle Lo; Michelle Wong; Choong Leong Tang; Emile K W Tan; Steven G Rozen; Peh Yean Cheah
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

4.  SELENBP1 inhibits progression of colorectal cancer by suppressing epithelial-mesenchymal transition.

Authors:  Xiaotian Zhang; Runqi Hong; Lanxin Bei; Zhiqing Hu; Ximin Yang; Tao Song; Liang Chen; He Meng; Gengming Niu; Chongwei Ke
Journal:  Open Med (Wars)       Date:  2022-09-01

5.  Integrated analysis of Helicobacter pylori-related prognostic gene modification patterns in the tumour microenvironment of gastric cancer.

Authors:  Kaitian Zheng; Ye Wang; Jiancheng Wang; Congjun Wang; Junqiang Chen
Journal:  Front Surg       Date:  2022-09-30

6.  Hypomethylation of GDNF family receptor alpha 1 promotes epithelial-mesenchymal transition and predicts metastasis of colorectal cancer.

Authors:  Zhexu Dong; Lei Dai; Yong Zhang; Chao Fang; Gang Shi; Ye Chen; Junshu Li; Qin Wang; Jiamei Fu; Yan Yu; Wenshuang Wang; Lin Cheng; Yi Liu; Yi Lin; Yuan Wang; Qingnan Wang; Huiling Wang; Hantao Zhang; Yujing Zhang; Xiaolan Su; Shuang Zhang; Feng Wang; Meng Qiu; Zongguang Zhou; Hongxin Deng
Journal:  PLoS Genet       Date:  2020-11-11       Impact factor: 5.917

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.