Evidence map›Paper›PMID 31983041›Full record

ArticleInterdisciplinary sciences, computational life sciences2020

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

Shafei Wu, Xiaoding Liu, Jing Wang, Weixun Zhou, Mei Guan, Yuanyuan Liu, Junyi Pang, Tao Lu, Liangrui Zhou, Xiaohua Shi and 3 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Interdisciplinary sciences, computational life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

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  13. High Frequency of Microsatellite Instability among Non-Metastatic Gastric Cancer.International journal of hematology-oncology and stem cell research · 2022
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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

13 authors at 1 institution in 1 country.

Shafei WuDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Xiaoding LiuDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Jing WangDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Weixun ZhouDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Mei GuanDepartment of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yuanyuan LiuDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Junyi PangDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Tao LuDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Liangrui ZhouDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Xiaohua ShiDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Huanwen WuDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Zhiyong LiangDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
Xuan ZengDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China. zengxuan88@yahoo.com.ORCID http://orcid.org/0000-0002-8711-753X
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

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

Abstract

backgroundAlthough 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.

methodsWe 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.

resultsAmong 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.

conclusionsThe 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.

Indexed as

DNADNA Mismatch RepairMicrosatellite InstabilityMicrosatellite RepeatsPhenotypeAdultAgedBrain NeoplasmsColorectal NeoplasmsComputational BiologyFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedNeoplastic Syndromes, HereditaryDNAColorectal cancerMicrosatellite instabilityMismatch repair deficiency

Identifiers

PMID31983041
PMCPMC7244613
OpenAlexW3002768603

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.