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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Clinical Geneticsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Clinical Genetics
Article . 2005 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Clinical and molecular characteristics of hereditary non‐polyposis colorectal cancer families in Southeast Asia

Authors: Lee, S.C.; Guo, J.Y.; Lim, R.; Soo, R.; Koay, E.; Salto-Tellez, Manuel; Leong, A.; +1 Authors

Clinical and molecular characteristics of hereditary non‐polyposis colorectal cancer families in Southeast Asia

Abstract

Hereditary non‐polyposis colorectal cancer (HNPCC), predominantly due to germline MLH1/MSH2 mutations, is the commonest form of hereditary colorectal cancer (CRC), but data in Asians are sparse. We sequenced the MLH1/MSH2 coding and promoter core regions in CRC patients diagnosed below age 40, and/or with multiple primary cancers or familial cancer clustering suggestive of HNPCC, and correlated deleterious mutations with clinical and tumour features. Forty‐six Chinese, Malay and Indian kindreds participated. Of the 153 cancers reported in the 46 kindreds, stomach (14%) and urogenital cancers (13%) were the most common extracolonic cancers, whereas endometrial cancer comprised only 7%. Eleven different MLH1 and 12 MSH2 mutations were identified, including nine novel and four recurring mutations in the Chinese. One Indian was a compound heterozygote for an MLH1 and MSH2 mutation. The MLH1/MSH2 mutation data in the Malays and the Indians represents the first in these ethnic groups. Factors strongly associated with deleterious mutations were the Amsterdam criteria, family history of stomach or multiple primary cancers, and MSI‐high tumours, whereas family history of endometrial cancer and young cancer age alone correlated poorly. Distinct clinical and molecular characteristics were identified among Asian HNPCC kindreds and may have important clinical implications.

Countries
United Kingdom, Singapore
Keywords

Adult, Male, /dk/atira/pure/subjectarea/asjc/1300/1311, Adolescent, name=Genetics, DNA Mutational Analysis, 610, Hereditary non-polyposis colorectal cancer (HNPCC), 617, Humans, Age of Onset, Medical History Taking, Asia, Southeastern, Germ-Line Mutation, Adaptor Proteins, Signal Transducing, Aged, Aged, 80 and over, Chinese, MLH1, /dk/atira/pure/subjectarea/asjc/2700/2716, Middle Aged, Colorectal Neoplasms, Hereditary Nonpolyposis, name=SDG 3 - Good Health and Well-being, MSH2, Asians, DNA-Binding Proteins, MutS Homolog 2 Protein, name=Genetics(clinical), /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, Female, Carrier Proteins, MutL Protein Homolog 1, Microsatellite Repeats

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Average
Top 10%
Top 10%