Literature DB >> 14627345

Detection of p53 gene mutations by nonisotopic RNase cleavage assay as a predictor of poor prognosis in colorectal cancers.

Masatoshi Haseba1, Shigekazu Hidaka, Takashi Tsuji, Hiroshi Yano, Hideaki Komatsu, Terumitu Sawai, Toru Yasutake, Tohru Nakagoe, Yutaka Tagawa, Hiroyoshi Ayabe.   

Abstract

The present study was undertaken to evaluate p53 gene mutation as a prognostic factor in patients with colorectal cancer. Nonisotopic RNase cleavage assay (NIRCA), recently used for detecting gene mutations, was employed to detect p53 gene mutations in this study. In 15 samples of colorectal tumors, NIRCA was confirmed to be simple, accurate, and thus useful for clinical use, compared with polymerase chain reaction single-strand conformational polymorphism (PCR-SSCP). In another group of 79 cases of colorectal cancer analyzed for p53 gene mutation by using NIRCA, mutations were detected in 58 of 79 (73.4%) cases. Multivariate Cox proportional-hazards analysis showed that p53 gene mutation was a significant prognostic factor in patients with colorectal cancer. Our results showed that NIRCA is a simple and sensitive method, and thus useful for genetic screening of colorectal cancer. Furthermore, our results showed that p53 gene mutation is an independent predictor of poor prognosis in colorectal cancers.

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Year:  2003        PMID: 14627345     DOI: 10.1023/a:1026126522278

Source DB:  PubMed          Journal:  Dig Dis Sci        ISSN: 0163-2116            Impact factor:   3.199


  28 in total

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  3 in total

1.  Nomograms for predicting specific distant metastatic sites and overall survival of colorectal cancer patients: A large population-based real-world study.

Authors:  Shaobo Mo; Xin Cai; Zheng Zhou; Yaqi Li; Xiang Hu; Xiaoji Ma; Long Zhang; Sanjun Cai; Junjie Peng
Journal:  Clin Transl Med       Date:  2020-01

2.  Prognostic nomograms for predicting cause-specific survival and overall survival of stage I-III colon cancer patients: a large population-based study.

Authors:  Zheng Zhou; Shaobo Mo; Weixing Dai; Wenqiang Xiang; Lingyu Han; Qingguo Li; Renjie Wang; Lu Liu; Long Zhang; Sanjun Cai; Guoxiang Cai
Journal:  Cancer Cell Int       Date:  2019-12-27       Impact factor: 5.722

3.  Development and Internal Validation of a Nomogram-Based Model to Predict Three-Year and Five-Year Overall Survival in Patients with Stage II/III Colon Cancer.

Authors:  Dan Ren; Wen-Ling Wang; Gang Wang; Wei-Wei Chen; Xiao-Kai Li; Guo-Dong Li; Sai-Xi Bai; Hong-Min Dong; Wang-Hua Chen
Journal:  Cancer Manag Res       Date:  2022-01-14       Impact factor: 3.989

  3 in total

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