Sensitive Detection of KRAS Mutations by Clustered Regularly Interspaced Short Palindromic Repeats.

CRISPR biomarkers cancer diagnosis tissues

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
15 Jan 2021
Historique:
received: 29 11 2020
revised: 13 01 2021
accepted: 13 01 2021
entrez: 20 1 2021
pubmed: 21 1 2021
medline: 21 1 2021
Statut: epublish

Résumé

Kirsten rat sarcoma viral oncogene (KRAS) is the isoform most frequently mutated in human tumors. Testing for activating KRAS mutations has important implications for diagnosis and the personalized medicine of cancers. The current techniques for detecting KRAS mutations have moderate sensitivity. The emerging clustered regularly interspaced short palindromic repeats (CRISPR) system shows great promise in the detection of nucleic acids and is revolutionizing medical diagnostics. This study aimed to develop CRISPR-Cas12a as a sensitive test to detect KRAS mutations. Serially diluted DNA samples containing KRAS mutations are subjected to CRISPR-Cas12a and polymerase chain reaction (PCR). CRISPR-Cas12a and PCR can specifically detect 0.01% and 0.1% mutant KRAS DNA in the presence of wild-type KRAS DNA, respectively. Twenty pairs of lung tumor and noncancerous lung tissues are tested by CRISPR-Cas12a, PCR, and direct sequencing. CRISPR-Cas12a could identify the G12C mutation in five of 20 tumor tissues, while both PCR and direct sequencing discovered the KRAS mutation in three of the five tumor tissues. Furthermore, the results of CRISPR-Cas12a for testing the mutation could be directly and immediately visualized by a UV light illuminator. Altogether, CRISPR-Cas12a has a higher sensitivity for the detection of KRAS mutations compared with PCR and sequencing analysis, and thus has diagnostic and therapeutic implications. Nevertheless, the technique needs to be validated for its clinical significance in a large and prospective study.

Identifiants

pubmed: 33467412
pii: diagnostics11010125
doi: 10.3390/diagnostics11010125
pmc: PMC7830957
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Huifen Zhou (H)

Department of Pathology, University of Maryland School of Medicine, 10 S. Pine St., Baltimore, MD 21201, USA.

Jen-Hui Tsou (JH)

Department of Pathology, University of Maryland School of Medicine, 10 S. Pine St., Baltimore, MD 21201, USA.

Qixin Leng (Q)

Department of Pathology, University of Maryland School of Medicine, 10 S. Pine St., Baltimore, MD 21201, USA.

Feng Jiang (F)

Department of Pathology, University of Maryland School of Medicine, 10 S. Pine St., Baltimore, MD 21201, USA.

Classifications MeSH