DNA Mismatch Repair Deficiency Detection in Colorectal Cancer by a New Microsatellite Instability Analysis System.


Journal

Interdisciplinary sciences, computational life sciences
ISSN: 1867-1462
Titre abrégé: Interdiscip Sci
Pays: Germany
ID NLM: 101515919

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 16 07 2019
accepted: 07 01 2020
revised: 05 01 2020
pubmed: 27 1 2020
medline: 10 3 2021
entrez: 27 1 2020
Statut: ppublish

Résumé

Although microsatellite instability (MSI) is most commonly detected in colorectal cancer (CRC), improvement in MSI analysis method can always help us better assessing MSI phenotypes and gaining useful information in challenging cases. The purpose of current study is to explore whether the ProDx® MSI analysis System (ProDx® MSI) can improve MSI classification in CRC. We compared the MSI profiles of 97 FFPE samples from CRC patients by ProDx® MSI with Promega MSI analysis System 1.2 and NCI panel. The result is then confirmed by IHC test, which evaluate MMR protein expression. Furthermore, next generation sequencing was performed to double confirm the specimens with discordant results. Among the total 97 CRC cases, 35 were scored as MSI-High by ProDx® MSI, Promega MSI analysis System 1.2, and NCI panel simultaneously. Three extra MSI-High cases were identified by ProDx® MSI. These three cases were classified as MSI-Low by NCI panel, while two of these as MSI-Low, and 1 as MSS by Promega MSI analysis System 1.2. ProDx® MSI had higher concordance with IHC detection compared with Promega MSI Analysis System 1.2 and NCI panel at 99.0%, 96.9%, and 95.9%, respectively. The ProDx® MSI distinguished MSI status with 100% sensitivity and 98.4% specificity. Our data showed that MSI-High phenotype occurred most frequently in tumor development stage I and stage II. The colorectal cancer can be classified according to MSI status accurately by ProDx® MSI. More cases with MSI-High feature may be revealed by ProDx® MSI than by previous test systems in colorectal cancer.

Sections du résumé

BACKGROUND BACKGROUND
Although microsatellite instability (MSI) is most commonly detected in colorectal cancer (CRC), improvement in MSI analysis method can always help us better assessing MSI phenotypes and gaining useful information in challenging cases. The purpose of current study is to explore whether the ProDx® MSI analysis System (ProDx® MSI) can improve MSI classification in CRC.
METHODS METHODS
We compared the MSI profiles of 97 FFPE samples from CRC patients by ProDx® MSI with Promega MSI analysis System 1.2 and NCI panel. The result is then confirmed by IHC test, which evaluate MMR protein expression. Furthermore, next generation sequencing was performed to double confirm the specimens with discordant results.
RESULTS RESULTS
Among the total 97 CRC cases, 35 were scored as MSI-High by ProDx® MSI, Promega MSI analysis System 1.2, and NCI panel simultaneously. Three extra MSI-High cases were identified by ProDx® MSI. These three cases were classified as MSI-Low by NCI panel, while two of these as MSI-Low, and 1 as MSS by Promega MSI analysis System 1.2. ProDx® MSI had higher concordance with IHC detection compared with Promega MSI Analysis System 1.2 and NCI panel at 99.0%, 96.9%, and 95.9%, respectively. The ProDx® MSI distinguished MSI status with 100% sensitivity and 98.4% specificity. Our data showed that MSI-High phenotype occurred most frequently in tumor development stage I and stage II.
CONCLUSIONS CONCLUSIONS
The colorectal cancer can be classified according to MSI status accurately by ProDx® MSI. More cases with MSI-High feature may be revealed by ProDx® MSI than by previous test systems in colorectal cancer.

Identifiants

pubmed: 31983041
doi: 10.1007/s12539-020-00358-8
pii: 10.1007/s12539-020-00358-8
pmc: PMC7244613
doi:

Substances chimiques

DNA 9007-49-2

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

145-154

Subventions

Organisme : The National Key Research and Development Program of China
ID : 2017YFC1309004
Organisme : CAMS Initiative for Innovative Medicine
ID : 2017-I2M-1-005
Organisme : CAMS Innovation Fund for Medical Sciences
ID : 2019-I2M-2-002
Organisme : Pathology Research Centre of the China Academy of Medical Sciences(CAMS)
ID : 2016ZX310176-2

Références

Cancer Res. 1998 Nov 15;58(22):5248-57
pubmed: 9823339
Clin Cancer Res. 2016 Feb 15;22(4):813-20
pubmed: 26880610
BMC Cancer. 2017 Dec 8;17(1):836
pubmed: 29221446
Am J Hum Genet. 1999 Nov;65(5):1291-8
pubmed: 10521294
Carcinogenesis. 2006 May;27(5):951-5
pubmed: 16490738
N Engl J Med. 2003 Jul 17;349(3):247-57
pubmed: 12867608
J Natl Cancer Inst. 1997 Dec 3;89(23):1758-62
pubmed: 9392616
Arch Pathol Lab Med. 2014 Mar;138(3):363-70
pubmed: 24576032
J Mol Diagn. 2008 Jul;10(4):293-300
pubmed: 18556767
J Clin Oncol. 2005 Jan 20;23(3):609-18
pubmed: 15659508
J Mol Diagn. 2008 Jul;10(4):301-7
pubmed: 18556776
J Mol Diagn. 2006 Jul;8(3):305-11
pubmed: 16825502
Mutat Res. 2004 Feb 26;546(1-2):29-38
pubmed: 14757190
Science. 1993 May 7;260(5109):816-9
pubmed: 8484122
Clin Epigenetics. 2017 Mar 9;9:26
pubmed: 28293327
J Med Genet. 1999 Sep;36(9):678-82
pubmed: 10507723
Mod Pathol. 2019 Jul;32(7):1053-1064
pubmed: 30723297
Mutat Res. 2013 Mar-Apr;743-744:67-77
pubmed: 23206442
J Natl Cancer Inst. 2004 Feb 18;96(4):261-8
pubmed: 14970275
Int J Clin Exp Med. 2015 Nov 15;8(11):20988-1000
pubmed: 26885030
PLoS One. 2015 Aug 07;10(8):e0132727
pubmed: 26252492

Auteurs

Shafei Wu (S)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Xiaoding Liu (X)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Jing Wang (J)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Weixun Zhou (W)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Mei Guan (M)

Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Yuanyuan Liu (Y)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Junyi Pang (J)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Tao Lu (T)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Liangrui Zhou (L)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Xiaohua Shi (X)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Huanwen Wu (H)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Zhiyong Liang (Z)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.

Xuan Zeng (X)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China. zengxuan88@yahoo.com.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C

Classifications MeSH