Literature DB >> 23645765

KRAS mutations in patients with colorectal cancer as detected by high-resolution melting analysis and direct sequencing.

Kohei Akiyoshi1, Yasuhide Yamada, Yoshitaka Honma, Satoru Iwasa, Ken Kato, Tetsuya Hamaguchi, Yasuhiro Shimada, Hirokazu Taniguchi, Koh Furuta.   

Abstract

BACKGROUND: Direct sequencing (DS) has often been used for detection of v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations. High-resolution melting analysis (HRMA) is another method to detect mutations by using a light scanner, and is more rapid, lower in cost, and more sensitive than DS. We confirmed correspondence between DS and HRMA for KRAS mutation detection in colorectal cancer (CRC). PATIENTS AND METHODS: From 102 patients with CRC, intended to receive cetuximab treatment at the National Cancer Center Hospital between September 2008 and July 2009, formalin-fixed paraffin-embedded tissues were retrospectively analyzed for KRAS status using HRMA and DS. Cetuximab efficacy was evaluated.
RESULTS: Success rates of analysis by DS and HRMA were 100 out of the 102 patients (98.0%) and 99 out of the 102 patients (97.1%), respectively. The cases which failed by one method were analyzed by the other. KRAS mutant-type was detected by DS in 47 out of 100 samples (47.0%), and by HRMA in 45 out of 99 samples (45.5%). The concordance between the two methods was 94.8%. Forty-six out of the 53 patients with wild-type KRAS, as detected by DS received cetuximab and the response and disease control rates were 19.6% and 63.0%, respectively. With a median follow-up of 8.8 months, the median progression-free survival was 5.6 months and median overall survival was 11.1 months. The efficacy of two discordant cases which received cetuximab showed that the best responses were stable disease and progressive disease in one each, progression-free survival was 2.9 and 1.1 months and overall survival was 5.3 and 1.2 months, respectively.
CONCLUSION: HRMA is a useful optional method for detection of KRAS mutations in CRC in light of accuracy, cost performance and rapidity.

Entities:  

Keywords:  HRMA; KRAS mutation; cetuximab; colorectal cancer; sequencing

Mesh:

Substances:

Year:  2013        PMID: 23645765

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  8 in total

1.  Clinicopathological Associations of K-RAS and N-RAS Mutations in Indonesian Colorectal Cancer Cohort.

Authors:  Michael Levi; Gintang Prayogi; Farid Sastranagara; Edi Sudianto; Grace Widjajahakim; Winiarti Gani; Albert Mahanadi; Jocelyn Agnes; Bela Haifa Khairunisa; Ahmad R Utomo
Journal:  J Gastrointest Cancer       Date:  2018-06

Review 2.  Current companion diagnostics in advanced colorectal cancer; getting a bigger and better piece of the pie.

Authors:  Jonathan M Loree; Scott Kopetz; Kanwal P S Raghav
Journal:  J Gastrointest Oncol       Date:  2017-02

3.  Impact of KRAS mutation on response and outcome of patients with stage III non-squamous non-small cell lung cancer.

Authors:  Shigehiro Yagishita; Hidehito Horinouchi; Kuniko S Sunami; Shintaro Kanda; Yutaka Fujiwara; Hiroshi Nokihara; Noboru Yamamoto; Minako Sumi; Kouya Shiraishi; Takashi Kohno; Koh Furuta; Koji Tsuta; Tomohide Tamura; Yuichiro Ohe
Journal:  Cancer Sci       Date:  2015-08-18       Impact factor: 6.716

4.  Cancer mutation screening: Comparison of high-resolution melt analysis between two platforms.

Authors:  Henry O Ebili; Mohammad Ilyas
Journal:  Ecancermedicalscience       Date:  2015-04-15

5.  High-resolution melting curve analysis, a rapid and affordable method for mutation analysis in childhood acute myeloid leukemia.

Authors:  Yin Liu; Jingyan Tang; Peter Wakamatsu; Huiliang Xue; Jing Chen; Paul S Gaynon; Shuhong Shen; Weili Sun
Journal:  Front Pediatr       Date:  2014-09-09       Impact factor: 3.418

6.  Diagnostic accuracy of high resolution melting analysis for detection of KRAS mutations: a systematic review and meta-analysis.

Authors:  Yue-Ping Liu; Hai-Yan Wu; Xiang Yang; Han-Qing Xu; Dong Chen; Qing Huang; Wei-Ling Fu
Journal:  Sci Rep       Date:  2014-12-17       Impact factor: 4.379

Review 7.  The Potential Power of Bar-HRM Technology in Herbal Medicine Identification.

Authors:  Wei Sun; Jing-Jian Li; Chao Xiong; Bo Zhao; Shi-Lin Chen
Journal:  Front Plant Sci       Date:  2016-03-30       Impact factor: 5.753

8.  Using SSR-HRM to Identify Closely Related Species in Herbal Medicine Products: A Case Study on Licorice.

Authors:  Jingjian Li; Chao Xiong; Xia He; Zhaocen Lu; Xin Zhang; Xiaoyang Chen; Wei Sun
Journal:  Front Pharmacol       Date:  2018-04-24       Impact factor: 5.810

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.