Multivariate Analysis Of Histopathological And Immunohistochemical Prognostic Factors In Endometrial Carcinoma. A Retrospective Pilot Study Of An Italian Regional Referral Center
Paudice, M.; Scaglione, G.; Biatta, C. M.; Barra, F.; Riva, M.; Spina, B.; Gaggero, G.; Fulcheri, E.; Ferrero, S.; Vellone, V. G.; San Martino Hospital Gynecologic Diagnosis Managment Team (Gyn DMT),
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Backgroundto investigate endometrial carcinoma prognostic value of some histopathological and immunohistochemical factors, fairly easily accessible in every routinely pathology lab set. Methodswe considered patients affected by endometrial carcinoma with available clinical and radiological follow-up data after radical hysterectomy (S. Martino Polyclinic Hospital, Genoa, Italy, period 1/1/2013 - 1/7/2016). We analyzed the following histopathological items: histotype, stage (FIGO), type of infiltration (infiltrative/espansive), desmoplasia, intratumoral necrosis, tumor infiltrating lymphocytes and lymph vascular spaces invasion. Moreover, each case has been investigated with a panel of immunohistochemistry including estrogen receptor , progesteron receptor, Ki67, p53, {beta}-catenin, e-cadherin, bcl-2 and cyclin D1. Primary endpoints were disease free survival and overall survival. Resultsout of 99 cases eligible for our purpose, we found 69 low-grade endometrioid, 8 high-grade endometrioid and 22 other high-grade endometrial carcinomas. Disease free survival multivariate analysis showed a strong significant correlation between poor prognosis and advanced stage (p=0.0042). Advanced stage (p=0.0003) and presence of desmoplasia (p=0.04) resulted significantly correlated to a worse prognosis in overall survival multivariate analysis. In univariate model, the non-endometrioid histotype was significantly correlated with an unfavorable prognosis when compared to the endometriod type. Same for progesteron receptor low expression. Conclusionthe multivariate analysis confirmed the central prognostic role of stage in endometrial carcinoma. Moreover, other immunohistochemical markers in univariate analysis, have confirmed their easily reproducible usefulness, well integrating the recent TGCA molecular classification.
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