Cited by 46Colorectal Cancer Treatments and StudiesColorectal Cancer Surgical TreatmentsGenetic factors in colorectal cancer

KRAS mutational status in Japanese patients with colorectal cancer: Results from a nationwide, multicenter, cross-sectional study

Watanabe, Toshiaki, Yoshino, Takayuki, Uetake, Hiroyuki, Yamazaki, Kentaro, Ishiguro, Megumi, Kurokawa, Tatsuo, Saijo, Nagahiro, Ohashi, Yasuo +1 more·2013·Japanese Journal of Clinical Oncology

Abstract

OBJECTIVE: KRAS gene mutations are a useful predictive factor for the efficacy of anti-epidermal growth factor receptor therapeutics. Since there were no large-scale studies among Asian populations, we designed an observational nationwide study in Japan. METHODS: Formalin-fixed paraffin-embedded tissue blocks or sections from primary or metastatic lesions were obtained from patients registered between 2009 and 2010 for genomic DNA extraction. KRAS gene was analyzed by direct sequencing or Luminex assay. The primary endpoint was the frequency of KRAS gene mutations and the secondary endpoints were differences in KRAS mutation rates by various stratification factors. Univariate and multivariate analyses were performed to investigate relationships between KRAS mutation rates and patient background factors. RESULTS: We analyzed 5790 eligible samples out of 5887 registered. The overall KRAS mutation rate was 37.6%, with 29.9% in codon 12 and 7.7% in codon 13, and wild type was 62.4%. A significant relationship with the KRAS mutation rate was found for gender, age, the year that the sample was prepared and the site of the primary lesion. CONCLUSION: The KRAS mutation rate of Japanese colorectal cancer patients was 37.6%. Gender, age, the site of the primary lesion and the year that the sample was prepared were independent risk factors for KRAS mutations.

Integrity signals

Registry

Crossref · 10.1093/jjco/hyt062

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Watanabe, T., Yoshino, T., Uetake, H., Yamazaki, K., Ishiguro, M., Kurokawa, T., Saijo, N., Ohashi, Y., & Sugihara, K.
Affiliations
  • The University of Tokyo (JP)
  • National Cancer Center Hospital East (JP)
  • Tokyo Medical and Dental University (JP)
  • Shizuoka Cancer Center (JP)
  • Keio University (JP)
  • Japanese Society of Medical Oncology (JP)
Venue
Japanese Journal of Clinical Oncology
Published
2013-05-08
Volume
43
Issue
7
Pages
706-712
ISSN
  • 0368-2811 (ISSN-L)
  • 1465-3621
OpenAlex
W2152297937
Cited by
46
References
30
Citations by year
2026: 2 · 2025: 3 · 2024: 1 · 2023: 7 · 2022: 4 · 2021: 4 · 2020: 3 · 2019: 4 · 2018: 1 · 2017: 4 · 2016: 1 · 2015: 5 · 2014: 6 · 2013: 1
FWCI
2.32
Type
journal article
Language
en
Open access
closed
Locations
  • Japanese Journal of Clinical Oncology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
Keywords
KRAS mutation, colorectal cancer, mutation frequency, codon 12, codon 13, risk factors, Japanese patients, anti-EGFR therapy, primary tumor site, age and gender differences
MeSH terms
Adult, Age Factors, Aged, Analysis of Variance, Cross-Sectional Studies, Female, Humans, Japan, Male, Middle Aged, Mutation, Proto-Oncogene Proteins, Risk Factors, Sex Factors, Colorectal Neoplasms, Logistic Models, Proto-Oncogene Proteins p21(ras), ras Proteins, Asian People

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review