OBJECTIVE: To determine whether histologic or molecular markers assessed in pretreatment curettage specimens predict nodal metastasis in endometrial cancer. METHODS: Phenotypic and molecular variables (ploidy, proliferating cell nuclear antigen, MIB-1, p53, HER-2/neu, and bcl-2) were analyzed in preoperative specimens from 82 patients with endometrial cancer who had lymph nodes dissected. These 82 patients had been selected from a total population of 283 patients with endometrial cancer, using a case-cohort design. Weighted logistic regressions were then used to determine significant predictors of positive lymph nodes, and results were estimated for the total population of 283 patients. RESULTS: Of the overall population, 12% of patients were estimated to have positive lymph nodes. Histologic subtype, p53, and bcl-2 each were significantly correlated (P <0.05) with lymph node status. With application of stepwise logistic regression, p53 was the only independent predictor of lymph node status. In addition, a statistical model predictive of positive lymph nodes was generated which incorporated the risk factors p53, bcl-2, and histologic subtype. CONCLUSION: In pretreatment curettage specimens, the presence of unfavorable levels of p53 or bcl-2 or of nonendometrioid histologic features, or combinations of those, significantly predicted lymph node status, thus facilitating the preoperative identification of patients at risk of lymph node metastases.
OBJECTIVE: To determine whether histologic or molecular markers assessed in pretreatment curettage specimens predict nodal metastasis in endometrial cancer. METHODS: Phenotypic and molecular variables (ploidy, proliferating cell nuclear antigen, MIB-1, p53, HER-2/neu, and bcl-2) were analyzed in preoperative specimens from 82 patients with endometrial cancer who had lymph nodes dissected. These 82 patients had been selected from a total population of 283 patients with endometrial cancer, using a case-cohort design. Weighted logistic regressions were then used to determine significant predictors of positive lymph nodes, and results were estimated for the total population of 283 patients. RESULTS: Of the overall population, 12% of patients were estimated to have positive lymph nodes. Histologic subtype, p53, and bcl-2 each were significantly correlated (P <0.05) with lymph node status. With application of stepwise logistic regression, p53 was the only independent predictor of lymph node status. In addition, a statistical model predictive of positive lymph nodes was generated which incorporated the risk factors p53, bcl-2, and histologic subtype. CONCLUSION: In pretreatment curettage specimens, the presence of unfavorable levels of p53 or bcl-2 or of nonendometrioid histologic features, or combinations of those, significantly predicted lymph node status, thus facilitating the preoperative identification of patients at risk of lymph node metastases.
Authors: T S Njølstad; J Trovik; T S Hveem; M L Kjæreng; W Kildal; M Pradhan; J Marcickiewicz; S Tingulstad; A C Staff; H K Haugland; R Eraker; K Oddenes; J A Rokne; J Tjugum; M S Lode; F Amant; H M Werner; H B Salvesen; H E Danielsen Journal: Br J Cancer Date: 2015-04-21 Impact factor: 7.640
Authors: Yovanni Casablanca; Guisong Wang; Heather A Lankes; Chunqiao Tian; Nicholas W Bateman; Caela R Miller; Nicole P Chappell; Laura J Havrilesky; Amy Hooks Wallace; Nilsa C Ramirez; David S Miller; Julie Oliver; Dave Mitchell; Tracy Litzi; Brian E Blanton; William J Lowery; John I Risinger; Chad A Hamilton; Neil T Phippen; Thomas P Conrads; David Mutch; Katherine Moxley; Roger B Lee; Floor Backes; Michael J Birrer; Kathleen M Darcy; George Larry Maxwell Journal: Cancers (Basel) Date: 2022-08-23 Impact factor: 6.575