Microsatellite instability of the colorectal carcinoma can be predicted in the conventional pathologic examination. A prospective multicentric study and the statistical analysis of 615 cases consolidate our previously proposed logistic regression model

Virchows Archiv

Volumn 456, Issue 5, 2010, Pages 533-541

  Román, Ruth ^a   Verdú, Montse ^a,c   Calvo, Miquel ^d   Vidal, August ^c,e   Sanjuan, Xavier ^a   Jimeno, Mireya ^f   Salas, Antonio ^g   Autonell, Josefina ^h   Trias, Isabel ⁱ   González, Marta ^a   García, Beatriz ^a   Rodón, Natalia ^a   Puig, Xavier ^b,c  

^a VSL International Ltd   (Spain)

^b Scias Hospital Barcelona   (Spain)

^c Histopat Laboratoris   (Spain)

^d UNIVERSITY OF BARCELONA   (Spain)

^e HOSPITAL UNIVERSITARI DE BELLVITGE   (Spain)

^f HOSPITAL DEL MAR   (Spain)

^g HOSPITAL MÚTUA DE TERRASSA   (Spain)

^h HOSPITAL GENERAL DE VIC   (Spain)

ⁱ HOSPITAL PLATÓ   (Spain)

Author keywords

Colorectal cancer; Hereditary nonpolyposis colorectal cancer; Microsatellite instability; Pathological parameters; Prediction model

Indexed keywords

KI 67 ANTIGEN;

AGED; ARTICLE; CANCER DIAGNOSIS; CANCER MORPHOLOGY; CANCER RISK; CLINICAL TRIAL; COLORECTAL CARCINOMA; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIFFERENTIAL DIAGNOSIS; FEMALE; HEREDITARY NONPOLYPOSIS COLORECTAL CANCER; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMMUNOHISTOCHEMISTRY; INSTRUMENT VALIDATION; INTRARATER RELIABILITY; LOGISTIC REGRESSION ANALYSIS; MALE; MICROSATELLITE INSTABILITY; MULTICENTER STUDY; PHENOTYPE; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; PROGNOSIS; STATISTICAL MODEL; TUMOR ASSOCIATED LEUKOCYTE; COLORECTAL TUMOR; GENETICS; MIDDLE AGED; PREDICTION AND FORECASTING; PROSPECTIVE STUDY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

AGED; COLORECTAL NEOPLASMS; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MICROSATELLITE INSTABILITY; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77952519877     PISSN: 09456317     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00428-010-0896-6     Document Type: Article

References (24)

1. Ogino S, Goel A (2008) Molecular classification and correlates in colorectal cancer. J Mol Diagnostics 10:13-27, s.l
2. Gryfe RH, Kim H, Hsieh ET (2000) Tumor microsatellite instability and clinical outcome in young patients with colorectal cancer. N Engl J Med 342:69-77, s.l
3. Fearon ER, Volgestein B (1990) A generic model for colorectal tumorigenesis. Cell 61:759-767
4. Thibodeau SN, Bren G, Schaid D (1993) Microsatellite instability in cancer of proximal colon. Science 260:816-819, s.l
5. Jass JR, Do KA, Simms LA (1998) Morphology of sporadic colorectal cancer with DNA replication errors. Gut 42:673-679, s.l
6. Fujiwara T, Stolker JM, Watanabe T et al (1998) Accumulated clonal genetic alterations in familial and sporadic colorectal carcinomas with widespread instability in microsatellite sequences. Am J Pathol 153:1063-1078, s.l
7. Herman JG, Umar A, Polyak K et al (1998) Incidence and functional consequences of hMLH1 promoter hypermethylation in colorectal carcinoma. Proc Natl Acad Sci 95:6870-6875, s.l
8. Arnold CN, Goel A, Boland CR (2003) Role of hMLH1 promoter hypermethylation in drug resistance to 5-fluorouracil in colorectal cancer cell lines. Int J Cancer 106:66-73, s.l
9. Ribic CM, Sargent DJ, Moore MJ et al (2003) Tumor microsatellite- instability status as a predictor of benefit from fluorouracil-based adjuvant chemotherapy for colon cancer. N Engl J Med 349:247-257
10. Jass JR (2004) HNPCC and sporadic MSI-H colorectal cancer: a review of the morphological similarities and differences. Familial Cancer 3:93-100, s.l
11. Kakar S, Aksoy S, Burgart LJ, Smyrk TC (2004) Mucinous carcinoma of the colon: correlation of loss of mismatch repair enzymes with clinicopathologic features and survival. Mod Pathol 17:696-700
12. Ogino S, Brahmandam M, Cantor M et al (2006) Distinct molecular features of colorectal carcinoma with signet ring cell component and colorectal carcinoma with mucinous component. Mod Pathol 19:59-68, s.l
13. Jenkins MA, Hayashi S, O'Shea et al (2007) Pathology features in Bethesda guidelines predict colorectal cancer microsatellite instability: a population-based study. Gastroenterology 133:48-56
14. Greenson JK, Huang S, Herron C et al (2009) Pathologic predictors of mirosatellite instability in colorectal cancer. Am J Surg Pathol 33:126-133
15. Colomer A, Erill N, Vidal A et al (2005) A novel logistic model based on clinicopathological features predicts microsatellite instability in colorectal carcinomas. Diagn Mol Pathol 14:213-223
16. Michael-Robinson JM, Biemer-Huttmann A, Purdie DM et al (2001) Tumour infiltrating lymphocytes and apoptosis are independent features in colorectal cancer stratified according to microsatellite instability status. Gut 48:360-366
17. Hamilton SR, Aaltonen LA (2000) Pathology and genetics of tumours of the digestive system. eds World Health Organization Classification of Tumors, IARC Press, Lyon, pp 103-143
18. Boland CR, Thibodeau SN, Hamilton SR et al (1998) A National Cancer Institute Workshop on microsatellite instability for cancer detection and familial predisposition: development of international criteria for the determination of microsatellite instability in colorectal cancer. Cancer Res 58:5248-5257
19. Jen J, Kim H, Piantadosi S et al (1994) Allelic loss of chromosome 18q and prognosis in colorectal cancer. N Engl J Med 331:213-221
20. JonesMH, Nakamura Y (1992)Detection of loss of heterozygosity at the human TP53 locus using a dinucleotide repeat polymorphism. Genes Chromosom Cancer 5:89-90
21. Friedman J, Hastie T, Tibshirani R (2008) Glmnet: Lasso and elastic-net regularized generalized linear models: http://www-stat.stanford.edu/~hastie/ Papers/glmnet.pdf
22. Friedman J, Hastie T, Höfling H, Tibshirani R (2007) Pathwise coordinate optimization. Ann Appl Stat 1(2):302-332
23. R Development Core Team. R (2008) A language and environment for statistical computing. s.l.: R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org
24. Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6:461-464