ArticleCancer medicine2017
Predictive model for high-frequency microsatellite instability in colorectal cancer patients over 50 years of age.
Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Artificial Intelligence for Predicting Microsatellite Instability Based on Tumor Histomorphology: A Systematic Review.International journal of molecular sciences · 2022Pooled it
- Comparison of universal screening in major lynch-associated tumors: a systematic review of literature.Familial cancer · 2022Pooled it
- Worldwide variation in lynch syndrome screening: case for universal screening in low colorectal cancer prevalence areas.Familial cancer · 2021Pooled it
- A paradigm shift in genetic predisposition to colorectal cancer: the impact of germline multigene panel testing on diagnosis and management.International journal of clinical oncology · 2026Review
- Application value of CT-based extracellular volume fraction in assessing microsatellite status in colorectal cancer.American journal of translational research · 2026Article
- Certain pMMR colorectal cancer patients should undergo additional MSI-PCR testing to reduce the risk of misdiagnosing MSI-H and Lynch syndrome.BMC cancer · 2025Article
- Predictive modeling for the germline pathogenic variant of the APC gene in patients with adenomatous polyposis: proposing a new APC score.Surgery today · 2025Article
- Article
- Potential predictors for CDX2 expression loss and mismatch repair deficiency in colorectal cancer.Pathology oncology research : POR · 2023Article
- Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2020 for the Clinical Practice of Hereditary Colorectal Cancer.International journal of clinical oncology · 2021Article
- Article
- Real-world data on microsatellite instability status in various unresectable or metastatic solid tumors.Cancer science · 2021Article
- Review
- Baseline lesion number as an efficacy predictive and independent prognostic factor and its joint utility with TMB for PD-1 inhibitor treatment in advanced gastric cancer.Therapeutic advances in medical oncology · 2021Article
- Predictive Value of Metabolic Parameters Derived FromFrontiers in immunology · 2021Article
- Development and validation of MMR prediction model based on simplified clinicopathological features and serum tumour markers.EBioMedicine · 2020Article
- Microsatellite instability and sensitivity to fluoropyrimidine and oxaliplatin containing first-line chemotherapy in metastatic colorectal cancer.European journal of hospital pharmacy : science and practice · 2020Article
- Immunohistochemical Expression of MMR Proteins with Clinicopathological Correlation in Colorectal Cancer in Egypt.Open access Macedonian journal of medical sciences · 2019Article
- Differences in histological features and PD-L1 expression between sporadic microsatellite instability and Lynch-syndrome-associated disease in Japanese patients with colorectal cancer.International journal of clinical oncology · 2018Article
- Predictive model for high-frequency microsatellite instability in colorectal cancer patients over 50 years of age.Cancer medicine · 2017Article
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Authors and funding
17 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microsatellite instability (MSI) is an important biomarker for screening for Lynch syndrome, and also of response to immune checkpoint inhibitors. The aim of this study is to create a predictive model to determine which elderly patients with colorectal cancer (CRC) should undergo MSI and/or immunohistochemistry testing on the basis of clinicopathological data. We analyzed a test cohort of CRC patients aged ≥50 years (n = 2219) by multivariate logistic regression analyses to identify predictors of high-frequency MSI (MSI-H). The created prediction model was validated in an external cohort (n = 992). The frequency of MSI-H was 5.5% among CRC patients aged ≥ 50 years. The following five predictors of MSI-H were identified in the test cohort: female (1 point), mucinous component (2 points), tumor size ≥ 60 mm (2 points), location in proximal colon (3 points), and BRAF mutation (6 points). The area under curve (AUC) in the receiver-operating characteristic (ROC) analysis of this prediction model was 0.832 (95% confidence interval: 0.790-0.874). The sensitivity and specificity were 74.4% and 77.7%, respectively, for a cut-off score of 4 points. The receiver-operating characteristic curve of the validation cohort also showed an AUC of 0.856 (95% CI: 0.806-0.905). This prediction model is useful to select elderly CRC patients who should undergo MSI testing, and who may benefit from treatment with 5-FU-based adjuvant chemotherapy and cancer immunotherapy.
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