Assessment of colorectal cancer prognosis through nuclear morphometry.

作者: Hector G. Eynard , Elio A. Soria , Eduardo Cuestas , Roberto A. Rovasio , Aldo R. Eynard

DOI: 10.1016/J.JSS.2008.06.022

关键词: PerimeterCarcinomaHistopathologyInternal medicineRetrospective cohort studyGastroenterologyColorectal cancerPredictive value of testsAnalysis of varianceMedicineCancer

摘要: BACKGROUND Due to the fact that different biological parameters play a key role in colonic malignant behavior, with nuclear morphometry being prognostic marker many malignancies, then predictive approaches colorectal cancer (CRC) carried out on histologically well-defined groups may prevent interpretative errors. Subsequently, present study, CRC patients were screened according morphometric features of tumor cell nuclei, using an accurate histotechnical approach, analyze their clinical evolution Dukes' stratification. MATERIALS AND METHODS A total 66 cases grouped classification (5 y follow-up). The perimeter, area, and shape factor 50 interphase carcinoma nuclei recorded through microphotographs obtained from each subject. Nuclei boundaries drawn by electronic pencil examined computerized system. Data submitted variance analysis, multi-regression model compared results. RESULTS sample was made up 44 males (66.67%) 22 females (33.33%) aged 59.7 +/- 6 old. Forty-nine (74.24%) classified as stage B, 17 (25.76%) C. Nuclear homogeneity confirmed analysis variance. (mean SD): area (3.17 1.74), perimeter (6.72 1.83), (0.82 0.03). multiple logistic regression showed C subjects had higher risk developing worse than those at B (P < 0.02), independent sex age. CONCLUSIONS remains best predictor evolution. Although nucleomorphometric suitability is still controversial, this technique has become additional tool establish prognosis.

参考文章(22)
Jingfang Ju, Minchen Chien, Marko Kornmann, Andrea Formentini, David B. Weir, Jingyue Ju, Yaguang Xi, James J. Russo, Prognostic Values of microRNAs in Colorectal Cancer Biomarker Insights. ,vol. 2006, pp. 113- 121 ,(2006) , 10.4137/BMI.S0
Danil V. Makarov, Cameron Marlow, Jonathan I. Epstein, M. Craig Miller, Patricia Landis, Alan W. Partin, H. Ballentine Carter, Robert W. Veltri, Using nuclear morphometry to predict the need for treatment among men with low grade, low stage prostate cancer enrolled in a program of expectant management with curative intent. The Prostate. ,vol. 68, pp. 183- 189 ,(2008) , 10.1002/PROS.20679
Roberto A. Rovasio, Natalia L. Battiato, Ethanol Induces Morphological and Dynamic Changes on In Vivo and In Vitro Neural Crest Cells Alcoholism: Clinical and Experimental Research. ,vol. 26, pp. 1286- 1298 ,(2002) , 10.1111/J.1530-0277.2002.TB02669.X
O. LAVIE, I. MAINI, A. PILIP, G. COMERCI, E. SABO, P.A. CROSS, B. DAWLATLY, A. LOPES, R. AUSLENDER, Computerized nuclear morphometry for the prediction of inguinal lymph nodes metastases in squamous cell carcinoma of the vulva International Journal of Gynecological Cancer. ,vol. 16, pp. 556- 561 ,(2006) , 10.1111/J.1525-1438.2006.00447.X
Sheng-Lan Wang, Sheau-Fang Yang, Chee-Yin Chai, Hon-Man Chan, Ming-Tsang Wu, Computerized Morphometric Study of Thyroid Follicular Carcinoma in Correlation with Known Prognostic Factors Kaohsiung Journal of Medical Sciences. ,vol. 21, pp. 65- 69 ,(2005) , 10.1016/S1607-551X(09)70279-7
Francis R. Packard, Witchcraft in Pennsylvania American Journal of Surgery. ,vol. 6, pp. 686- 688 ,(1929) , 10.1016/S0002-9610(29)90128-8
J.R. Jass, S.B. Love, J.M.A. Northover, A NEW PROGNOSTIC CLASSIFICATION OF RECTAL CANCER The Lancet. ,vol. 1, pp. 1303- 1306 ,(1987) , 10.1016/S0140-6736(87)90552-6
Gordon T. Deans, Peter W. Hamilton, Patrick C. H. Watt, Mark Heatley, Kathleen Williamson, Christopher C. Patterson, Brian J. Rowlands, George Parks, Roy Spence, Morphometric analysis of colorectal cancer. Diseases of The Colon & Rectum. ,vol. 36, pp. 450- 456 ,(1993) , 10.1007/BF02050010