Literature DB >> 23515910

Correlation of p53 status with the response to chemotherapy-based treatment in esophageal cancer: a meta-analysis.

Shui-Shen Zhang1, Qing-Yuan Huang, Hong Yang, Xuan Xie, Kong-Jia Luo, Jing Wen, Xiao-Li Cai, Fu Yang, Yi Hu, Jian-Hua Fu.   

Abstract

BACKGROUND: The value of p53 status for predicting response to chemotherapy-based treatment in patients with esophageal cancer has been controversial. We conducted a meta-analysis to elucidate the correlation of p53 status with the response to chemotherapy-based treatment.
METHODS: Studies were searched in PubMed, Embase, and Web of Science (up to September 2012). The p53 status and response to therapy were defined and standardized. Subgroup analyses based on the treatment and histopathology were performed to explore the usefulness of p53 status for predicting response to therapy in esophageal cancer. Sensitivity analyses were conducted by removing specific studies to assess the effects of study quality.
RESULTS: We included 28 studies with 1497 cases in our meta-analysis. Wild-type form of p53 status (low expression of p53 protein and/or wild-type p53 gene) was associated with high response to chemotherapy-based treatment in esophageal cancer (total major response [MR]: risk ratio [RR] = 1.09, 95 % CI = 1.03-1.16, P = .003; pathological MR: RR = 1.15, 95 % CI = 1.06-1.25, P = .001; total complete response [CR]: RR = 1.08, 95 % CI = 1.00-1.17, P = .040). The similar correlation between the wild-type form p53 and response to therapy were also detected in subgroup analyses (total MR, pathological MR, and total CR in chemoradiotherapy subgroup; total MR in chemotherapy subgroup; total MR and pathological CR in esophageal squamous cell carcinoma [ESCC]). Additionally, patients with wild-type form p53 status had high pathological complete response rate to neoadjuvant chemoradiotherapy in ESCC.
CONCLUSIONS: The current meta-analysis suggested that p53 status might be a predictive biomarker for response to chemotherapy-based treatment in esophageal cancer.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23515910     DOI: 10.1245/s10434-012-2859-4

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  16 in total

Review 1.  Current status of predictive biomarkers for neoadjuvant therapy in esophageal cancer.

Authors:  Norihisa Uemura; Tadashi Kondo
Journal:  World J Gastrointest Pathophysiol       Date:  2014-08-15

2.  RNA-seq reveals determinants of sensitivity to chemotherapy drugs in esophageal carcinoma cells.

Authors:  Li-Xin Yang; Bai-Ling Li; Xiao-Hong Liu; Yang Yuan; Chao-Jing Lu; Rui Chen; Jian Zhao
Journal:  Int J Clin Exp Pathol       Date:  2014-03-15

3.  Molecular Marker Expression Is Highly Heterogeneous in Esophageal Adenocarcinoma and Does Not Predict a Response to Neoadjuvant Therapy.

Authors:  Nathan W Bronson; Brian S Diggs; Gene Bakis; Kenneth M Gatter; Brett C Sheppard; John G Hunter; James P Dolan
Journal:  J Gastrointest Surg       Date:  2015-09-22       Impact factor: 3.452

Review 4.  Predictive factors in the evaluation of treatment response to neoadjuvant chemoradiotherapy in patients with advanced esophageal squamous cell cancer.

Authors:  Claudia Wong; Simon Law
Journal:  J Thorac Dis       Date:  2017-07       Impact factor: 2.895

5.  Areca nut is associated with younger age of diagnosis, poor chemoradiotherapy response, and shorter overall survival in esophageal squamous cell carcinoma.

Authors:  Chang-Han Chen; Hung-I Lu; Yu-Ming Wang; Yen-Hao Chen; Chien-Ming Lo; Wan-Ting Huang; Shau-Hsuan Li
Journal:  PLoS One       Date:  2017-02-28       Impact factor: 3.240

6.  PAX5 gene as a novel methylation marker that predicts both clinical outcome and cisplatin sensitivity in esophageal squamous cell carcinoma.

Authors:  Keisuke Kurimoto; Masamichi Hayashi; Rafael Guerrero-Preston; Masahiko Koike; Mitsuro Kanda; Sho Hirabayashi; Hiroshi Tanabe; Nao Takano; Naoki Iwata; Yukiko Niwa; Hideki Takami; Daisuke Kobayashi; Chie Tanaka; Suguru Yamada; Goro Nakayama; Hiroyuki Sugimoto; Tsutomu Fujii; Michitaka Fujiwara; Yasuhiro Kodera
Journal:  Epigenetics       Date:  2017-11-27       Impact factor: 4.528

7.  Specific gene expression profiles are associated with a pathologic complete response to neoadjuvant therapy in esophageal adenocarcinoma.

Authors:  Patrick J McLaren; Anthony P Barnes; Willy Z Terrell; Gina M Vaccaro; Jack Wiedrick; John G Hunter; James P Dolan
Journal:  Am J Surg       Date:  2017-03-27       Impact factor: 2.565

Review 8.  The potential of molecular markers to improve interventions through the natural history of oesophageal squamous cell carcinoma.

Authors:  Nathalia Meireles da Costa; Sheila Coelho Soares Lima; Tatiana de Almeida Simão; Luis Felipe Ribeiro Pinto
Journal:  Biosci Rep       Date:  2013-08-14       Impact factor: 3.840

9.  A panel of overexpressed proteins for prognosis in esophageal squamous cell carcinoma.

Authors:  Li Shang; Hui-Juan Liu; Jia-Jie Hao; Yan-Yi Jiang; Feng Shi; Yu Zhang; Yan Cai; Xin Xu; Xue-Mei Jia; Qi-Min Zhan; Ming-Rong Wang
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

Review 10.  Research advances in esophageal diseases: bench to bedside.

Authors:  Massimiliano di Pietro; Rebecca C Fitzgerald
Journal:  F1000Prime Rep       Date:  2013-10-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.