Prediction Model for Gastric Cancer With DNA Mismatch Repair Deficiency.
Anticancer Res
; 41(2): 975-982, 2021 Feb.
Article
in En
| MEDLINE
| ID: mdl-33517304
ABSTRACT
BACKGROUND/AIM:
DNA mismatch repair (MMR) deficiency has received increasing attention as a biomarker of anti-PD-1 treatments of solid tumors including gastric cancer (GC). However, efficient screening has not been established. PATIENTS ANDMETHODS:
A total of 513 patients were tested for the expression of MMR proteins by immunohistochemistry to identify MMR deficient GC. Development of a prediction model was attempted using the common clinicopathological features.RESULTS:
In total, 11% (57/513) of the patients showed loss of expression of either one or more MMR proteins (MMR protein deficiency; MMR-D). Multivariate analysis demonstrated that age (≥70 years), sex (female), tumor location (lower 1/3), depth invasion (low, T1/T2/T3), and absence of distant metastasis were significantly independent predictive factors of MMR-D GCs. The MMR-D GC probability estimated by the prediction model ranged from 0.4% to 62.2%, and the area under the curve of the receiver operating characteristics curve was 0.82 (95% confidence interval=0.75-0.87).CONCLUSION:
Our prediction model can sufficiently and efficiently identify MMR-D GCs using clinical features.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Stomach Neoplasms
/
DNA-Binding Proteins
/
DNA Mismatch Repair
/
Mismatch Repair Endonuclease PMS2
/
MutL Protein Homolog 1
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
/
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
Language:
En
Journal:
Anticancer Res
Year:
2021
Document type:
Article