Pathologic Predictors of Microsatellite Instability in Colorectal Cancer

被引:194
|
作者
Greenson, Joel K. [1 ]
Huang, Shu-Chen [2 ]
Herron, Casey [2 ]
Moreno, Victor [2 ,3 ]
Bonner, Joseph D. [2 ]
Tomsho, Lynn P. [2 ]
Ben-Izhak, Ofer
Cohen, Hector I. [6 ]
Trougoubhoff, Phillip [7 ]
Bejhar, Jacob
Sova, Yanina [5 ]
Pinchev, Mila [4 ]
Rennert, Gad [4 ]
Gruber, Stephen B. [2 ]
机构
[1] Univ Michigan Hlth Syst, Dept Pathol, Ann Arbor, MI 48109 USA
[2] Univ Michigan Hlth Syst, Dept Internal Med, Div Mol Med & Genet, Ann Arbor, MI 48109 USA
[3] Univ Barcelona, Inst Catala Oncol, Unitat Bioestadist & Bioinformat, Barcelona, Spain
[4] Technion Israel Inst Technol, IL-32000 Haifa, Israel
[5] Carmel Hosp, Haifa, Israel
[6] Western Galilee Med Ctr, Nahariyya, Israel
[7] Haemek Med Ctr, Afula, Israel
关键词
colorectal neoplasia; microsatellite instability; pathology; tumor-infiltrating lymphocytes; mucinous; differentiation; dirty necrosis; logistic regression; TUMOR-INFILTRATING LYMPHOCYTES; COLON-CANCER; ADJUVANT CHEMOTHERAPY; LYNCH-SYNDROME; MISMATCH REPAIR; BETHESDA GUIDELINES; SURVIVAL BENEFIT; PROXIMAL COLON; FEATURES; POPULATION;
D O I
10.1097/PAS.0b013e31817ec2b1
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Identification of microsatellite unstable (MSI-H) colorectal cancers (CRCs) is important not only for the identification or hereditary nonpolyposis colorectal cancer syndrome but also because MSI-H CRCs have. a better prognosis and may respond differently to 5-Florouracil-based chemotherapy. We present 2 nearly equivalent logistic regression models for clinical use that predict microsatellite instability based on the review of 1649 CRCs front patients of all ages collected in a population-based case control study in northern Israel. One hundred ninety-eight of these 1649 tumors demonstrated it high degree of microsatellite instability (12%). Multivariate analysis Found that > 2 tumor-infiltrating lymphocyte (TIL) cells per high-powered field, the lack of dirty necrosis. the presence of it Crohn-like reaction, right-sided location, any mucinous differentiation (mucinous or focally mucinous) and well or poor differentiation, and age less than 50 were all independent predictors of MSI-H. We developed 2 logistic regression models that differ only by the statistical approach used to analyze the number of TIL cells per high-powered field, where the slightly more accurate (and complex) model uses the log of the total number of TIL cells. The simpler clinical model uses it cut-off of 2 > TIL cells per high-powered field. The accuracy of both models is high. with an 85.4% versus 85.0%, probability of correctly classifying tumors as MSI-H. By employing the simpler model, pathologists can predict the likelihood of microsatellite instability by compiling the MSI probability score (Table 4 and Fig. 1) from simple histologic and clinical data available during sign-out. Our model shows that approximately 43% of CRCs have a MSI probability score of 1 or less and hence have little likelihood ( < 3%) of being MSI-H. Although this model is not perfect in predicting microsatellite instability. its use Could improve the efficiency of expensive diagnostic testing.
引用
收藏
页码:126 / 133
页数:8
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