Evidence map›Paper›PMID 24885062›Full record

ArticleMolecular cancer2014

Analyses of clinicopathological, molecular, and prognostic associations of KRAS codon 61 and codon 146 mutations in colorectal cancer: cohort study and literature review.

Yu Imamura, Paul Lochhead, Mai Yamauchi, Aya Kuchiba, Zhi Rong Qian, Xiaoyun Liao, Reiko Nishihara, Seungyoun Jung, Kana Wu, Katsuhiko Nosho and 8 more

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

104 citing papers in PubMed, 2 syntheses or guidelines pooled it, 146 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  10. Waist Circumference, a Body Shape Index, and Molecular Subtypes of Colorectal Cancer: A Pooled Analysis of Four Cohort Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
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  16. Focus onCancers · 2024
    Article
  17. Mutation Profile via Next-Generation Sequencing in Patients with Colorectal Adenocarcinoma and Its Clinicopathological Correlation.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    Article
  18. Article
  19. Observational
  20. Article

44 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 3 countries.

Yu Imamura
Paul Lochhead
Mai Yamauchi
Aya Kuchiba
Zhi Rong Qian
Xiaoyun Liao
Reiko Nishihara
Seungyoun Jung
Kana Wu
Katsuhiko Nosho
Yaoyu E Wang
Shouyong Peng
Adam J Bass
Kevin M Haigis
Jeffrey A Meyerhardt
Andrew T Chan
Charles S Fuchs
Shuji OginoDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, 450 Brookline Ave,, Room M422, 02215 Boston, MA, USA. shuji_ogino@dfci.harvard.edu.
Harvard University · USDana-Farber Cancer Institute · USMassachusetts General Hospital · USBroad Institute · USSapporo Medical University · JP

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Inflammation and Colorectal NeoplasiaR01CA137178 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2009 to 2019
$6.5M
Impact of Celecoxib and Inflammation on Survival in Stage III Colon CancerR01CA169141 · NCI · YALE UNIVERSITY · PI FUCHS, CHARLES S · 2013 to 2018
$3.9M
Epigenetic Events and Colorectal Cancer EpidemiologyR01CA151993 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2010 to 2014
$2.6M
NCI NIH HHS P01 CA55075NCI NIH HHS P01 CA87969NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA169141NCI NIH HHS UM1 CA167552
6 · The paper itself

Abstract

backgroundKRAS mutations in codons 12 and 13 are established predictive biomarkers for anti-EGFR therapy in colorectal cancer. Previous studies suggest that KRAS codon 61 and 146 mutations may also predict resistance to anti-EGFR therapy in colorectal cancer. However, clinicopathological, molecular, and prognostic features of colorectal carcinoma with KRAS codon 61 or 146 mutation remain unclear.

methodsWe utilized a molecular pathological epidemiology database of 1267 colon and rectal cancers in the Nurse's Health Study and the Health Professionals Follow-up Study. We examined KRAS mutations in codons 12, 13, 61 and 146 (assessed by pyrosequencing), in relation to clinicopathological features, and tumor molecular markers, including BRAF and PIK3CA mutations, CpG island methylator phenotype (CIMP), LINE-1 methylation, and microsatellite instability (MSI). Survival analyses were performed in 1067 BRAF-wild-type cancers to avoid confounding by BRAF mutation. Cox proportional hazards models were used to compute mortality hazard ratio, adjusting for potential confounders, including disease stage, PIK3CA mutation, CIMP, LINE-1 hypomethylation, and MSI.

resultsKRAS codon 61 mutations were detected in 19 cases (1.5%), and codon 146 mutations in 40 cases (3.2%). Overall KRAS mutation prevalence in colorectal cancers was 40% (=505/1267). Of interest, compared to KRAS-wild-type, overall, KRAS-mutated cancers more frequently exhibited cecal location (24% vs. 12% in KRAS-wild-type; P < 0.0001), CIMP-low (49% vs. 32% in KRAS-wild-type; P < 0.0001), and PIK3CA mutations (24% vs. 11% in KRAS-wild-type; P < 0.0001). These trends were evident irrespective of mutated codon, though statistical power was limited for codon 61 mutants. Neither KRAS codon 61 nor codon 146 mutation was significantly associated with clinical outcome or prognosis in univariate or multivariate analysis [colorectal cancer-specific mortality hazard ratio (HR) = 0.81, 95% confidence interval (CI) = 0.29-2.26 for codon 61 mutation; colorectal cancer-specific mortality HR = 0.86, 95% CI = 0.42-1.78 for codon 146 mutation].

conclusionsTumors with KRAS mutations in codons 61 and 146 account for an appreciable proportion (approximately 5%) of colorectal cancers, and their clinicopathological and molecular features appear generally similar to KRAS codon 12 or 13 mutated cancers. To further assess clinical utility of KRAS codon 61 and 146 testing, large-scale trials are warranted.

Indexed as

CodonMutationAgedClass I Phosphatidylinositol 3-KinasesCohort StudiesColorectal NeoplasmsCpG IslandsDNA MethylationErbB ReceptorsFemaleGene ExpressionHumansLong Interspersed Nucleotide ElementsMaleMiddle AgedPhosphatidylinositol 3-KinasesBRAF protein, humanClass I Phosphatidylinositol 3-KinasesCodonEGFR protein, humanErbB ReceptorsKRAS protein, humanPhosphatidylinositol 3-KinasesPIK3CA protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)ras Proteins

Identifiers

PMID24885062
PMCPMC4051153
OpenAlexW2169034512

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.