Literature DB >> 23773459

Clinical utility of KRAS and BRAF mutations in a cohort of patients with colorectal neoplasms submitted for microsatellite instability testing.

Allison M Cushman-Vokoun1, Daniel G Stover, Zhiguo Zhao, Elizabeth A Koehler, Jordan D Berlin, Cindy L Vnencak-Jones.   

Abstract

BACKGROUND: Molecular analysis has become important in colorectal carcinoma (CRC) evaluation. Alterations in KRAS, BRAF, or mismatch repair (MMR) genes may determine therapeutic response or define a hereditary cancer syndrome. Correlation of DNA studies with clinical findings will further clarify the clinical utility of these markers. PATIENTS AND METHODS: A retrospective study was performed on 111 paraffin-embedded tumor specimens submitted for microsatellite instability (MSI) testing based on clinical history or histologic examination, or both. DNA samples were screened for 7 KRAS mutations and the BRAF p.V600E mutation using fluorescent allele-specific polymerase-chain reaction (PCR) and capillary electrophoresis. Clinical data were collected through chart review.
RESULTS: Fifty-eight male and 53 female patients were studied. The incidence of KRAS and BRAF mutations was 49.5% and 7.2%, respectively. Dideoxy sequencing verified KRAS mutation status in 46 of 49 specimens tested. There was a trend toward significance of individual KRAS mutations on survival (P = .003). Dually positive KRAS and MSI tumors exclusively demonstrated p.G12D and p.G13D mutations (G>A transitions). BRAF-mutated tumors were predominantly right-sided and associated with a borderline worse prognosis. Forty-eight percent of tumors with MSI were present in the left colon or rectum.
CONCLUSION: Allele-specific PCR is an accurate and convenient method to assess KRAS and BRAF mutations and may detect mutations not identified by dideoxy sequencing. KRAS mutation status, in conjunction with morphologic or clinical parameters, may be useful in determining whether a tumor should be tested for MSI. MSI testing should not be considered exclusively in right-sided lesions. BRAF analysis may not be useful in rectal adenocarcinomas and should be evaluated in larger studies.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Allele specific; Biomarker; Missense; Mutation; Transversion

Mesh:

Substances:

Year:  2013        PMID: 23773459      PMCID: PMC4090139          DOI: 10.1016/j.clcc.2013.04.005

Source DB:  PubMed          Journal:  Clin Colorectal Cancer        ISSN: 1533-0028            Impact factor:   4.481


  51 in total

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3.  Optimized allele-specific real-time PCR assays for the detection of common mutations in KRAS and BRAF.

Authors:  Alois H Lang; Heinz Drexel; Simone Geller-Rhomberg; Nicole Stark; Thomas Winder; Kathrin Geiger; Axel Muendlein
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4.  Determination of tumor aggressiveness in colorectal cancer by K-ras-2 analysis.

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Journal:  Hum Mol Genet       Date:  2004-08-04       Impact factor: 6.150

6.  Tumor microsatellite-instability status as a predictor of benefit from fluorouracil-based adjuvant chemotherapy for colon cancer.

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7.  Both BRAF and KRAS mutations are rare in colorectal carcinomas from patients with hereditary nonpolyposis colorectal cancer.

Authors:  Michiko Miyaki; Takeru Iijima; Tatsuro Yamaguchi; Tsuyoki Kadofuku; Nobuaki Funata; Takeo Mori
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8.  Prognostic significance of K-ras mutations in colorectal carcinoma.

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Journal:  Gastroenterology       Date:  1993-04       Impact factor: 22.682

9.  BRAF mutation is frequently present in sporadic colorectal cancer with methylated hMLH1, but not in hereditary nonpolyposis colorectal cancer.

Authors:  Guoren Deng; Ian Bell; Suzanne Crawley; James Gum; Jonathan P Terdiman; Brian A Allen; Brindusa Truta; Marvin H Sleisenger; Young S Kim
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10.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

Authors:  Marco Gerlinger; Andrew J Rowan; Stuart Horswell; James Larkin; David Endesfelder; Eva Gronroos; Pierre Martinez; Nicholas Matthews; Aengus Stewart; Charles Swanton; M Math; Patrick Tarpey; Ignacio Varela; Benjamin Phillimore; Sharmin Begum; Neil Q McDonald; Adam Butler; David Jones; Keiran Raine; Calli Latimer; Claudio R Santos; Mahrokh Nohadani; Aron C Eklund; Bradley Spencer-Dene; Graham Clark; Lisa Pickering; Gordon Stamp; Martin Gore; Zoltan Szallasi; Julian Downward; P Andrew Futreal
Journal:  N Engl J Med       Date:  2012-03-08       Impact factor: 91.245

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  16 in total

Review 1.  Prognostic value of CpG island methylator phenotype among colorectal cancer patients: a systematic review and meta-analysis.

Authors:  Y Y Juo; F M Johnston; D Y Zhang; H H Juo; H Wang; E P Pappou; T Yu; H Easwaran; S Baylin; M van Engeland; N Ahuja
Journal:  Ann Oncol       Date:  2014-04-08       Impact factor: 32.976

2.  Lymph node ratio improves TNM and Astler-Coller's assessment of colorectal cancer prognosis: an analysis of 761 node positive cases.

Authors:  Renato Costi; Filippo Beggi; Valeria Reggiani; Matteo Riccò; Pellegrino Crafa; Melissa Bersanelli; Francesco Tartamella; Vincenzo Violi; Luigi Roncoroni; Leopoldo Sarli
Journal:  J Gastrointest Surg       Date:  2014-08-05       Impact factor: 3.452

Review 3.  Genetic and epigenetic biomarkers for diagnosis, prognosis and treatment of colorectal cancer.

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4.  Mutation profiles of synchronous colorectal cancers from a patient with Lynch syndrome suggest distinct oncogenic pathways.

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5.  Deciphering Elevated Microsatellite Alterations at Selected Tetra/Pentanucleotide Repeats, Microsatellite Instability, and Loss of Heterozygosity in Colorectal Cancers.

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Journal:  J Mol Diagn       Date:  2018-02-21       Impact factor: 5.568

6.  Association between oncogenic RAS mutation and radiologic-pathologic findings in patients with primary rectal cancer.

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7.  Clinical and metabolic parameters in non-small cell lung carcinoma and colorectal cancer patients with and without KRAS mutations.

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8.  Detection of KRAS, NRAS and BRAF by mass spectrometry - a sensitive, reliable, fast and cost-effective technique.

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9.  A meta-analysis of MSI frequency and race in colorectal cancer.

Authors:  Hassan Ashktorab; Sadhna Ahuja; Lakshmi Kannan; Xavier Llor; Nathan A Ellis; Rosa M Xicola; Adeyinka O Laiyemo; John M Carethers; Hassan Brim; Mehdi Nouraie
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10.  Liposomal 64Cu-PET Imaging of Anti-VEGF Drug Effects on Liposomal Delivery to Colon Cancer Xenografts.

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